Condition assessment program and watch strap to run the program.

专利摘要:
Thanks to the present invention, it is possible not only to assess a condition of any watch, but also to notify an appropriate content and timing for repair and inspection. A computer-implemented condition evaluation program is provided by the invention. This program performs a state data acquisition function of acquiring state data that is collected by a sensor (31) mounted on a watch band (30) to a watch (100) indicating a state of the watch (100); a state judging function of the execution of a state judging process of judging the state of the watch on the basis of the state data; and an output function generating notification data indicating at least one of the result of the state evaluation process and a repair and inspection content based on this result when a predetermined condition. The invention also relates to a watch strap (30) having a computer mounted on it for executing the condition evaluation program.
公开号:CH716023A2
申请号:CH00371/20
申请日:2020-03-27
公开日:2020-09-30
发明作者:Kamiyama Shotaro；Tanaka Yuya；Jujo Koichiro
申请人:Seiko Instr Inc；
IPC主号:

专利说明:

BACKGROUND OF THE INVENTION
1. Technical field of the invention
The present invention relates to a condition evaluation program and a watch strap.
2. Description of the prior art
[0002] Mechanical watches attract a lot of users because of their attractiveness as a handicraft object equipped with a carefully assembled movement. However, since the condition of the mechanical watch may change depending on the usage situation or the usage environment, repair and inspection such as overhaul may be required. Therefore, the condition of the mechanical watch is one of the major issues for the user of the mechanical watch.
[0003] For example, in the European patent application published under number No. 3,330,811 (patent document 1), given as an example of a technology which evaluates the precision of the mechanical watch and notifies the Using its precision, a wristwatch is disclosed which includes a mechanical movement and a printed circuit board to realize a function of smart watch having a function of frequency measurement.
[0004] However, the wristwatch described above can only assess the accuracy of the time displayed by the mechanical movement incorporated in a watch case together with a printed circuit board. Therefore, the wristwatch cannot assess the condition of a wristwatch such as a mechanical watch which has been used by the user for a long time, and cannot notify an appropriate content and deadline for a date. repair and inspection.
SUMMARY OF THE INVENTION
[0005] An aim of the present application is to provide a condition evaluation program and a watch strap capable of evaluating a condition of any watch and of notifying a content and a time limit for repair and repair. appropriate inspection.
[0006] One aspect of the present application is a state evaluation program for causing a computer to implement a state data acquisition function to acquire state data which is collected by a sensor mounted on a bracelet attached to a wristwatch and indicate a condition of the watch; a state evaluation function for performing a state evaluation process by evaluating the state of the watch based on the state data; and an output function generating notification data of generating notification data indicating at least one of a result of the condition evaluation process and a repair and inspection content based on this result when a predetermined condition is satisfied in the state evaluation process.
[0007] In the state evaluation program according to one aspect of the present application, the state data acquisition function is a tic-tac sound data acquisition function for acquiring tic sound data. -tac which are collected at a predetermined time by the sensor and indicate a ticking sound of the watch, and the state evaluation function is an accuracy evaluation function to perform an accuracy evaluation process to assess the accuracy of the time displayed by the watch based on the ticking sound data.
[0008] In the condition evaluation program according to one aspect of the present application, in the accuracy evaluation process, the accuracy evaluation function is a function of accumulating the time during which the tic sound -tac of the watch is collected to calculate an accumulated time of generation of the ticking sound, and to determine whether or not the accumulated time of generation of the ticking sound exceeds a predetermined threshold value, and the function of notification data output is a function generating notification data recommending overhaul of the watch when it is determined that the cumulative time of generating the ticking sound exceeds the predetermined threshold value during the accuracy judgment process.
[0009] In the state evaluation program according to one aspect of the present application, in the accuracy evaluation process, the accuracy evaluation function is a function of calculating an oscillation angle of a spiral balance arranged in the watch from the sound of the ticking of the watch, by calculating an accumulated training time which is the time during which the watch is driven by counting the time during which the angle of oscillation exceeds a predetermined threshold value, and determining whether or not the cumulative training time exceeds a predetermined threshold value, and the notification data output function is a function generating notification data recommending a revision of the watch when it is determined that the cumulative training time exceeds the predetermined threshold value during the accuracy judgment process.
[0010] In the state evaluation program according to one aspect of the present application, in the accuracy evaluation process, the accuracy evaluation function is a function of calculating an oscillation angle of a sprung balance disposed in the watch from the sound of the ticking of the watch, and for determining whether or not the oscillation angle is equal to or less than a predetermined threshold value, and the data output function notification is a function generating notification data recommending a revision of the watch when it is determined that the oscillation angle is equal to or less than the predetermined threshold value in the accuracy evaluation process.
[0011] In the state evaluation program according to one aspect of the present application, in the accuracy evaluation process, the accuracy evaluation function is a function of calculating an oscillation angle of a sprung balance provided in the watch from the sound of the ticking of the watch, and determining whether or not the oscillation angle exceeds a predetermined threshold value, and the notification data output function is a A function generating notification data indicating that an oscillation malfunction occurs when it is determined that the oscillation angle exceeds the predetermined threshold value during the accuracy evaluation process.
[0012] In the state evaluation program according to one aspect of the present application, in the accuracy evaluation process, the accuracy evaluation function is a function of calculating an oscillation angle of a spiral balance provided in the wristwatch from the sound of the ticking of the wristwatch, by calculating a cumulative non-wearing time obtained by counting a non-wearing time indicating the time during which the oscillation angle fluctuates below a predetermined fluctuation zone for a predetermined period, and the time during which the watch is not worn, and determining whether or not the cumulative non-wear time exceeds the power reserve duration watch, and the notification data output function is a notification data generating function that recommends winding the wristwatch mainspring when it is determined that the cumulative non-wearing time exceeds the power reserve time of watch during the accuracy evaluation process.
[0013] In the state evaluation program according to one aspect of the present application, in the accuracy evaluation process, the accuracy evaluation function is a function of calculating an oscillation angle of a spiral balance arranged in the watch from the sound of the ticking of the wristwatch, by calculating a cumulative wear time obtained by counting a wear time which is the time during which the angle of oscillation fluctuates beyond of a predetermined fluctuation area for a predetermined period, and determining whether or not the time obtained by multiplying the cumulative wearing time by a predetermined coefficient in consideration of a body temperature of a user wearing the watch exceeds a time predetermined, and the notification data output function is a function generating notification data advocating overhaul of the watch when it is determined that the time obtained by multiplying the cumulative wearing time é by the predetermined coefficient exceeds the predetermined time during the precision evaluation process.
In the condition evaluation program according to one aspect of the present application, in the accuracy evaluation process, the accuracy evaluation function is a function of calculating a frequency of the watch during a period of time. predetermined period from the sound of the ticking of the watch, and determining whether or not an amount of frequency variation exceeds a predetermined threshold value, and the notification data output function is a function generating data from notification recommending demagnetization or repair of the watch when it is determined that the amount of frequency variation exceeds the predetermined threshold value.
In the state evaluation program according to one aspect of the present application, the state data acquisition function includes a posture data acquisition function for acquiring posture data which is collected. by the sensor and indicate a posture of the watch, and a ticking sound data acquisition function to acquire ticking sound data which is collected by the sensor and indicate a ticking sound of the watch , the condition evaluation function is a function for evaluating a posture trend of the watch based on the posture data, calculating a frequency of the watch based on the indicated ticking sound by sound data, and determining whether or not the frequency of the watch is outside a predetermined range, and the notification data output function is a notification data generating function advocating overhaul of the watch in response to the tenda the posture of the watch when it is determined that the frequency of the watch is outside the predetermined range.
In the state evaluation program according to one aspect of the present application, the state data acquisition function comprises an acceleration data acquisition function for acquiring data on the acceleration which are collected by the sensor, and indicate an acceleration of the watch, and a ticking sound data acquisition function to acquire ticking sound data that is collected by the sensor and indicate a ticking sound of the watch, the state evaluation function is a function for determining whether or not the acceleration indicated by the acceleration data exceeds a predetermined threshold value, and whether or not a frequency of the watch calculated at sound data is outside a predetermined range, and the notification data output function is a function generating notification data recommending a revision of the watch when it is determined that the indicated acceleration by the acceleration data exceeds the predetermined threshold value, and it is determined that the watch frequency calculated from the ticking sound data is outside the predetermined range.
In the state evaluation program according to one aspect of the present application, the state data acquisition function is an angular rate frequency data acquisition function of acquiring frequency data of angular speed which are collected by the sensor and indicate a frequency of an angular speed applied to the watch for value ranges corresponding to at least two distinct angular speeds, the state evaluation function is a function aiming to determine whether or not the frequency corresponding to a range where the angular velocity indicated by the angular velocity and frequency data exceeding a first predetermined threshold value exceeds a second predetermined threshold value, and the notification data output function is a function generating notification data indicating that a mainspring of the wristwatch has been wound up when it is determined that the frequency in the range where the angular velocity indicated by the angular velocity and frequency data exceeding the first predetermined threshold value exceeds the second predetermined threshold value.
[0018] In the state evaluation program according to one aspect of the present application, the state data acquisition function is an angular rate frequency data acquisition function for acquiring frequency data of angular velocity which are collected by the sensor and indicate a frequency of an angular velocity applied to the wristwatch for value ranges corresponding to at least two distinct angular velocities, the state evaluation function is a function aimed at determining whether or not the frequency, within a range where the angular velocity indicated by the angular velocity frequency data exceeds a first predetermined threshold value exceeds a second predetermined threshold value, and the notification data output function is a function generating notification data recommending winding of the mainspring of the wristwatch when it is not determined that the frequency in the range o - the angular velocity indicated by the angular velocity frequency data exceeding the first predetermined threshold value exceeds the second predetermined threshold value.
In the state evaluation program according to one aspect of the present application, the state data acquisition function includes a temperature data acquisition function for acquiring temperature data that is collected. by the sensor and indicate a temperature of the wristwatch; and a ticking sound data acquisition function for acquiring ticking sound data which is collected by the sensor and indicating a ticking sound of the wristwatch, the status evaluation function is a function for determining whether or not a watch frequency calculated from the ticking sound data is outside a predetermined range at a temperature indicated by the temperature data, and the data output function notification is a function generating notification data recommending a revision of the watch when it is determined that the watch frequency calculated from the sound data is outside the predetermined range at the temperature indicated by the temperature data .
[0020] In the state evaluation program according to one aspect of the present application, the state data acquisition function is a temperature data acquisition function for acquiring temperature data which is collected. by the sensor and indicates a variation in temperature of the watch over time, the state evaluation function is a function for calculating a cumulative non-wearing time, which is the sum of the time during which the temperature indicated by the temperature data is located below a predetermined threshold value, and the time during which the watch is not worn by a user, and which aims to determine whether or not the non-wearing time cumulative exceeds a predetermined threshold value, and the notification data output function is a notification data generating function recommending winding of the mainspring of the wristwatch when it is determined that the cumulative non-wear time exceeds the predetermined threshold value.
In the state evaluation program according to one aspect of the present application, the state data acquisition function includes a magnetic data acquisition function for acquiring magnetic data which is collected by the sensor and indicates variations in the strength of the magnetic field applied to the wristwatch over time, the state evaluation function includes a function to determine whether or not the strength of the magnetic field indicated by the magnetic data exceeds the predetermined threshold value, and the notification data output function includes a function generating notification data advocating demagnetization of the watch when it is determined that the magnetic field strength indicated by the magnetic data exceeds the threshold value predetermined.
In the state evaluation program according to one aspect of the present application, the state data acquisition function further includes a ticking sound data acquisition function for acquiring sound data. ticks that are collected by the sensor and indicate a ticking sound from the watch, the status evaluation function further includes a function to determine whether or not a frequency calculated from the sound of the tick -tac indicated by the ticking sound data is outside a predetermined range, and the notification data output function further includes a function generating notification data recommending overhaul of the watch when it is determined that the frequency calculated from the ticking sound indicated by the ticking sound data is outside the predetermined range.
Another aspect of the present application relates to a watch strap on which is mounted a computer which executes the state evaluation program mentioned above.
[0024] According to the present application, it is not only possible to evaluate a condition of any watch, but also to notify an appropriate content and deadline for repair and inspection.
BRIEF DESCRIPTION OF THE DRAWINGS
[0025]<tb> <SEP> FIG. 1 is a diagram illustrating an example of a watch according to a first embodiment.<tb> <SEP> FIG. 2 is a diagram illustrating an example of a computer mounted on a watch strap according to the first embodiment.<tb> <SEP> Fig. 3 is a diagram illustrating an example of an accuracy evaluation program to be executed by a CPU according to the first embodiment.<tb> <SEP> Fig. 4 is a diagram illustrating an example of a wave of a ticking sound detected by the watch strap according to the first embodiment.<tb> <SEP> FIG. 5 is a diagram illustrating an example of an accumulated time of generation of the ticking sound calculated by the watch strap according to the first embodiment.<tb> <SEP> FIG. 6 is a diagram illustrating an example of a method to be performed by the watch strap according to the first embodiment.<tb> <SEP> FIG. 7 is a diagram illustrating an example of an oscillation angle calculated by a watch strap according to a second embodiment.<tb> <SEP> FIG. 8 is a diagram illustrating an example of a cumulative training time calculated by the watch strap according to the second embodiment.<tb> <SEP> FIG. 9 is a diagram illustrating an example of a method to be performed by the watch strap according to the second embodiment.<tb> <SEP> FIG. 10 is a diagram illustrating an example of an oscillation angle calculated by a watch strap according to a third embodiment.<tb> <SEP> FIG. 11 is a diagram illustrating an example of a method to be performed by the watch strap according to the third embodiment.<tb> <SEP> FIG. 12 is a diagram illustrating an example of an oscillation angle calculated by a watch strap according to a fourth embodiment.<tb> <SEP> Fig. 13 is a diagram illustrating an example of a method to be performed by the watch strap according to the fourth embodiment.<tb> <SEP> Figure 14 is a diagram illustrating an example of an oscillation angle in the case of a standing position and an oscillation angle in the case of a standing position calculated by a bracelet watch according to a fifth embodiment.<tb> <SEP> Fig. 15 is a diagram illustrating an example of a method to be performed by the watch strap according to the fifth embodiment.<tb> <SEP> FIG. 16 is a diagram illustrating an example of a method to be performed by a watch strap according to a sixth embodiment.<tb> <SEP> Fig. 17 is a diagram illustrating an example of an oscillation angle calculated by a watch strap according to a seventh embodiment.<tb> <SEP> Fig. 18 is a diagram illustrating an example of a method to be performed by the watch strap according to the seventh embodiment.<tb> <SEP> Fig. 19 is a diagram illustrating an example of a state evaluation program to be executed by a processor (CPU) according to an eighth embodiment.<tb> <SEP> Fig. 20 is a diagram showing an example of a posture tendency of a watch evaluated by a watch strap according to the eighth embodiment on the basis of the posture data.<tb> <SEP> Fig. 21 is a diagram showing an example of a relationship between the posture of the watch indicated by the posture data according to the eighth embodiment, a frequency calculated on the basis of the sound data, and a frequency to be adjusted to the revision time.<tb> <SEP> Fig. 22 is a diagram illustrating an example of a method to be performed by the watch strap according to the eighth embodiment.<tb> <SEP> Fig. 23 is a diagram showing an example of acceleration of a watch indicated by acceleration data according to a ninth embodiment.<tb> <SEP> Fig. 24 is a diagram illustrating an example of a method to be performed by a watch strap according to the ninth embodiment.<tb> <SEP> Fig. 25 is a diagram illustrating a frequency example of an angular velocity indicated by the angular velocity and frequency data according to a tenth embodiment.<tb> <SEP> Fig. 26 is a diagram showing an example of the frequency of the angular speed applied to a watch indicated by the angular speed and frequency data according to the tenth embodiment.<tb> <SEP> Fig. 27 is a diagram illustrating an example of a method to be performed by a watch strap according to the tenth embodiment.<tb> <SEP> Fig. 28 is a diagram showing an example of a frequency of a temperature of a watch indicated by the temperature data according to an eleventh embodiment.<tb> <SEP> Fig. 29 is a diagram showing an example of a relationship between the temperature of the watch indicated by the temperature data according to the eleventh embodiment and a frequency of the watch calculated on the basis of the sound data ticking.<tb> <SEP> Fig. 30 is a diagram illustrating an example of a method to be performed by a watch strap according to the eleventh embodiment.<tb> <SEP> Fig. 31 is a diagram illustrating an example of temperature variation of a watch over time indicated by temperature data according to a twelfth embodiment.<tb> <SEP> Fig. 32 is a diagram illustrating an example of a method to be performed by a watch strap according to the twelfth embodiment.<tb> <SEP> Fig. 33 is a diagram illustrating an example of a variation of magnetic field strength over time indicated by ticking sound data according to a thirteenth embodiment.<tb> <SEP> Fig. 34 is a diagram illustrating an example of a method to be performed by a watch strap according to the thirteenth embodiment.
DESCRIPTION OF EMBODIMENTS
[First embodiment]
A precision evaluation program according to a first embodiment will be described with reference to Figures 1 to 5. Figure 1 is a diagram illustrating an example of a wristwatch according to the first embodiment. FIG. 2 is a diagram illustrating an example of a computer mounted on a strap for a wristwatch according to the first embodiment. As illustrated in Figure 1, the wristwatch 100 comprises a watch case 10, an elastic bar 20, and a watch strap 30.
The watch case 10 constitutes a housing in which a mechanical movement, an hour hand, a minute hand, and a seconds hand are arranged, and is connected to the watch strap 30 by the elastic bar 20.
The watch strap 30 comprises a sensor 31, an amplifier 32, a filter 33, an oscillation circuit 34, a frequency divider circuit 35, a read only memory (ROM) 36, a random access memory (RAM) 37 , and a central processor (CPU) 38, as well as a communication unit 39.
The sensor 31 is a device which measures a physical quantity indicating a state of the wristwatch 100, and generates state data indicating the state of the wristwatch 100, and may include a plurality of sensors which measure different physical quantities. For example, the sensor 31 is a device which detects a ticking sound generated inside the wristwatch 100 and generates sound data indicative of the ticking sound. The ticking sound mentioned here is, for example, a sound generated by an operation of an escapement with which the wristwatch 100 is equipped. In other words, the ticking sound mentioned here is, for example, a sound generated when an escapement mobile and an anchor arranged inside the wristwatch 100 are brought into contact with each other. . The sensor 31 is, for example, a piezoelectric element or a microphone. The sensor 31 is in contact with the elastic bar 20 mounted on the wristwatch 100, and can be held in compression against the elastic bar 20 by a spring.
The sensor 31 detects the vibrations transmitted via the watch case 10 and the elastic bar 20 provided in the wristwatch 100, thus detecting the sound of ticking. Alternatively, the ticking sound is detected by detecting the vibration transmitted by the watch case 10 and which circulates through the wristwatch 100 and the air. Then, the sensor 31 converts the detected ticking sound into sound data which is analog or digital type data, and transmits the converted ticking sound data to the amplifier 32. The amplifier 32 amplifies the amplitude. of the ticking sound wave indicated by the sound data. The filter 33 removes the noises included in the ticking sound wave amplified by the amplifier 32, and then transmits the ticking sound data to the CPU 38.
[0031] The oscillation circuit 34 generates a signal having a predetermined frequency, for example, a frequency of 32768 Hz, and transmits the generated signal to the frequency divider circuit 35. The frequency divider circuit 35 divides the received signal. by the oscillation circuit 34, generates a clock signal serving as a reference for defining a rate, and transmits the clock signal to the CPU 38.
ROM 36 stores a program read and executed by CPU 38 such as, for example, an accuracy evaluation program 360 shown in Figure 3. Figure 3 is a diagram illustrating an example of a program judging the accuracy to be performed by the CPU according to the first embodiment. As shown in Fig. 3, the accuracy evaluation program 360 includes a ticking sound data acquisition function 361, an accuracy evaluation function 362, and a notification data output function 363. The Accuracy Assessment Program 360 is an example of a condition assessment program. The sound data acquisition function 361 and the precision evaluation function 362 are examples of a state data acquisition function and a state evaluation function, respectively. The state data acquisition function acquires state data which is collected by the sensor 31 mounted on the watch strap 30 attached to the wristwatch 100, and indicates the status of the wristwatch 100. The The condition evaluation function performs a condition evaluation process for evaluating the condition of the wristwatch 100 based on the condition data.
The tic-tac sound data acquisition function 361 is a sound data acquisition function which is collected at a predetermined time by the sensor 31 mounted on the watch strap 30 attached to the wristwatch 100 and indicate the ticking sound of the wristwatch 100. The predetermined time mentioned here is a time corresponding to any time during a predetermined period, and may correspond to a periodic frequency or an aperiodic frequency. However, it is desirable that the number of times that the ticking sound of the wristwatch 100 is measured by the sensor 31 is set so that the consumption of the battery of the wristwatch 100 is not too great.
The precision evaluation function 362 is a function of performing a precision evaluation process to evaluate the accuracy of the time displayed by the wristwatch 100 based on the ticking sound data. . Specifically, in the precision evaluation process, the precision evaluation function 362 cumulatively counts down the time during which the ticking sound of the wristwatch 100 is measured to calculate an accumulated time of generation of the sound of the wristwatch. ticking.
FIG. 4 is a diagram illustrating an example of a ticking sound wave detected by the watch strap according to the first embodiment. A period T11 and a period T12 shown in Fig. 4 are examples of periods during which the ticking sound is generated, i.e., a period during which the wristwatch 100 is being driven. The period T10 illustrated in Fig. 4 is an example of a period during which the ticking sound is not generated, that is, a period during which the wristwatch 100 is not driven.
When the period T11 ends, the precision evaluation function 362 defines the period T11 as the time during which the ticking sound of the wristwatch 100 is measured, and calculates the length of the period T11 as the cumulative time of generation of the ticking sound. Then, even when the period T10 ends, the precision judgment function 362 does not count the period T10 as the time during which the ticking sound of the wristwatch 100 is measured. Then, when the period T12 ends, the precision evaluation function 362 sets the period T11 and the period T12 as the time during which the ticking sound of the wristwatch 100 is measured, and calculates the sum of the lengths of period T11 and period T12 as the cumulative time of generation of the ticking sound. Fig. 5 is a diagram illustrating an example of the cumulative time of generation of the ticking sound calculated by the watch strap according to the first embodiment. For example, as shown in Fig. 5, the precision evaluation function 362 repeats the same process, thereby updating the cumulative time of generation of the ticking sound each time the ticking sound is generated.
[0037] Next, the accuracy judgment function 362 determines whether or not the cumulative time of generating the ticking sound exceeds a predetermined threshold value. For example, the precision evaluation function 362 determines whether or not the cumulative time of generation of the ticking sound exceeds a limit value indicated by a dotted line Th1 shown in Fig. 5.
When a predetermined condition is satisfied in the state evaluation process, the notification data output function 363 generates, as an output, notification data indicating at least one of the result of the process. condition assessment, and repair and inspection content based on the result thereof. For example, when the predetermined condition is satisfied in the accuracy evaluation process, the notification data output function 363 generates the notification data indicating at least one of the result of the accuracy evaluation process and the content. repair and inspection based on its result. For example, when it is determined that the cumulative time of generating the ticking sound exceeds the predetermined threshold value in the accuracy evaluation process, the notification data output function 363 generates notification data recommending a watch revision. The notification data is then transmitted to another device, for example, a smartphone or a tablet, and is output via a display or a speaker provided in another device.
RAM 37 stores various types, for example, of sound data collected using sensor 31, amplifier 32, and filter 33. CPU 38 reads and executes the program stored in ROM 36. The unit communication box 39 communicates with devices other than the wristwatch 100 such as, for example, a smartphone and a tablet. The communication performed by the communication unit 39 is, for example, wireless communication such as Bluetooth (registered trademark).
In the following, an example of a method to be performed by the watch strap according to the first embodiment will be described with reference to FIG. 6. FIG. 6 is a diagram illustrating an example of a method to executed by the watch strap according to the first embodiment.
In step S11, the watch strap 30 acquires the ticking sound data indicating the ticking sound of the wristwatch 100 through the ticking sound data acquisition function. tac 361.
In step S12, the watch strap 30 counts down the cumulative time during which the ticking sound of the wristwatch 100 is measured to calculate the cumulative time of generation of the ticking sound by the function d 'Precision Rating 362.
In step S13, the watch strap 30 determines whether or not the cumulative time of generation of the ticking sound calculated in step S12 exceeds the threshold value predetermined by the accuracy evaluation function. 362. By determining that the cumulative time of generating the ticking sound calculated in step S12 exceeds the predetermined threshold value (step S13: YES), the watch band 30 advances the process to step S14. By determining that the cumulative ticking sound generation time calculated in step S12 is equal to or less than the predetermined threshold value (step S13: NO), the watch band 30 returns the process to the. step S11.
In step S14, the watch strap 30 generates the notification data recommending a revision of the wristwatch 100 via the notification data output function 363. Specifically, the watch strap 30 transmits the data. notification to devices other than the wristwatch 100 using the communication unit 39.
[0045] Above, the precision evaluation program 360 according to the first embodiment has been described. The accuracy evaluation program 360 executes the accuracy evaluation process to evaluate the accuracy of the time displayed by the wristwatch 100 based on the ticking sound data that is collected by the sensor 31 mounted on. watch strap 30 at a predetermined time and indicate the ticking sound of the wristwatch 100. Then, when the predetermined condition is satisfied in the precision evaluation process, the precision evaluation program 360 generates outputting notification data indicating at least one of the result of the accuracy evaluation process and the contents of the repair and inspection based on the result thereof.
[0046] Therefore, although the wristwatch 100 itself does not have a function of evaluating and notifying the accuracy of the time displayed by the wristwatch 100, the accuracy evaluation program 360 can assess the accuracy of the time displayed by the wristwatch 100, and can notify an appropriate repair and inspection content and deadline. Therefore, the precision evaluation program 360 can allow the wristwatch 100 such as a mechanical watch which has been used by a user for a long time to continue to be used, and can evaluate and report the accuracy of the time displayed by the wristwatch 100.
When the cumulative time of generation of the ticking sound obtained by accumulating the time during which the ticking sound of the wristwatch 100 is measured exceeds the predetermined threshold value, the accuracy evaluation program 360 generates the notification data recommending an overhaul of the wristwatch 100. That is, the accuracy evaluation program 360 determines whether to output the notification data or not based on the sound of. 100 wristwatch ticking.
Therefore, since the precision evaluation program 360 does not convert the ticking sound data to other data, the effect described above can be achieved while reducing the load of the CPU 38 .
[Second embodiment]
An accuracy evaluation program according to a second embodiment will be described with reference to Fig. 7. An accuracy evaluation function and an accuracy evaluation program notification data output function. according to the second embodiment are different from those of the accuracy evaluation program according to the first embodiment. Therefore, in the second embodiment, the accuracy evaluation function and the notification data will be mainly described, but the description of the same contents as those in the first embodiment will not be repeated appropriately.
The precision evaluation function calculates an oscillation angle of a spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch in the precision evaluation process. Specifically, the precision evaluation function calculates the angle of oscillation of the spring balance at a predetermined time. The predetermined time mentioned here is a time set at any time during a predetermined period, and may be periodic timing or aperiodic timing. When the predetermined time is a time set at periodic timing, the cycle is, for example, 24 hours.
FIG. 7 is a diagram illustrating an example of the angle of oscillation calculated by a watch strap according to the second embodiment. FIG. 7 illustrates an example of the angle of oscillation of the spiral balance calculated every 24 hours by the precision evaluation function. A period T21 and a period T22 illustrated in Fig. 7 are examples of periods during which the oscillation angle exceeds a predetermined threshold value, i.e., a period during which the watch is driven. A period T20 illustrated in Fig. 7 is an example of a period during which the oscillation angle is equal to or less than the predetermined threshold value, i.e., a period during which the watch n is not trained.
When the period T21 ends, the precision evaluation function estimates that the watch is driven during the period T21, and calculates the duration of the period T21 as the cumulative training time. Then, even when the period T20 ends, the precision judgment function 362 judges that the watch is not driven during the period T20, and does not count the duration of the period T20 as the time during which the watch is driven. . Then, the precision judgment function 362 estimates that the watch is driven during the period T22, and calculates the sum of the lengths (durations) of the period T21 and the period T22 as the cumulative training time. The precision evaluation function updates the cumulative training time at a fixed time by repeating the same process.
[0053] Next, the accuracy evaluation function determines whether or not the cumulative training time exceeds a predetermined threshold value. Fig. 8 is a diagram illustrating an example of cumulative training time calculated by the watch strap according to the second embodiment. A dotted line Th21 shown in Figure 8 indicates the predetermined threshold value. For example, the precision evaluation function determines whether or not the cumulative training time exceeds a limit value indicated by the dotted line Th21 shown in Fig. 8.
[0054] When it is determined that the cumulative training time exceeds the predetermined threshold value during the accuracy evaluation process, the notification data output function generates notification data recommending overhaul of the watch.
Next, an example of a process to be performed by the watch strap according to a second embodiment will be described with reference to FIG. 9. FIG. 9 is a diagram illustrating an example of a process to be performed by the watch strap according to this second embodiment.
[0056] In step S21, the watch band acquires the sound data indicating the ticking sound of the wristwatch through the sound data acquisition function.
[0057] In step S22, the watch strap calculates, via the precision evaluation function, the oscillation angle of the spiral balance disposed in the wristwatch from the sound of the ticking of the wristwatch , and cumulatively counts down the time during which the oscillation angle exceeds the predetermined threshold value to calculate the cumulative driving time which is the time during which the watch is driven.
[0058] In step S23, the watch strap determines whether or not the cumulative training time calculated in step S22 exceeds the threshold value predetermined by the accuracy evaluation function. By determining that the cumulative training time calculated in step S22 exceeds the predetermined threshold value (step S23: YES), the watch band advances the process to step S24. By determining that the cumulative training time calculated in step S22 is equal to or less than the predetermined threshold value (step S23: NO), the watch band returns the process to step S21.
In step S24, the watch strap generates notification data recommending the revision of the watch through the notification data output function.
[0060] Above, the precision evaluation program according to the second embodiment has been described. The precision evaluation program according to the second embodiment calculates the oscillation angle of the spiral balance with which the wristwatch is equipped from the ticking sound measured by the sensor mounted on the watch strap for a period of time. predetermined time, and the cumulative training time which is the time during which the watch is trained by cumulatively counting down the time during which the oscillation angle exceeds the predetermined threshold value. Then, by determining that the cumulative training time exceeds the predetermined threshold value, the accuracy evaluation program according to the second embodiment generates the notification data recommending the revision of the watch.
[0061] Consequently, even if the wristwatch does not itself have the function of evaluating and notifying the accuracy of the time displayed by the watch, the program for evaluating the accuracy according to the second mode of realization can assess the accuracy of the time displayed by the wristwatch, and can notify an appropriate content and deadline for repair and inspection. Therefore, the accuracy evaluation program can allow the wristwatch such as a mechanical wristwatch which has been used by a user for a long time to continue to be used, and can evaluate and report the accuracy of the watch. time displayed by the wristwatch.
The precision evaluation program according to the second embodiment calculates the angle of oscillation of the spring balance of the wristwatch from the sound of the ticking of the watch, and determines whether or not it must generate notification data based on its oscillation angle. The oscillation angle makes less noise than the ticking sound. Therefore, the accuracy judgment program according to the second embodiment can generate the notification data after accurately determining whether or not the cumulative training time exceeds the predetermined threshold value.
[Third embodiment]
An accuracy evaluation program according to a third embodiment will be described with reference to FIG. 10. An accuracy evaluation function and an output function of the notification data of the accuracy evaluation program. according to the third embodiment are different from those of the two accuracy evaluation programs described above. Therefore, in the third embodiment, the accuracy judgment function and the notification data will be mainly described, and the description of the same contents as those of the two embodiments described above will be appropriately omitted.
The precision evaluation function calculates the oscillation angle of the spring balance with which the wristwatch is equipped from the sound of the ticking of the wristwatch in the precision evaluation process. Specifically, the precision evaluation function calculates the angle of oscillation of the spring balance at a predetermined time. The predetermined time mentioned here is a time fixed at any time within a predetermined period, and can be set to correspond to a periodic or aperiodic frequency. When the predetermined instant corresponds to a time fixed according to a periodic frequency, the cycle is, for example, 24 hours.
FIG. 10 is a diagram illustrating an example of the oscillation angle calculated by a watch strap according to the third embodiment. FIG. 10 illustrates an example of the angle of oscillation of the spiral balance calculated every 24 hours by the precision evaluation function. The oscillation angle calculated by the precision evaluation function decreases as time passes. The reason for this is that an amount of lubricating oil covering a component of the movement with which the wristwatch is equipped decreases over time and the mainspring with which the wristwatch is equipped deteriorates, resulting in an increase in resistance during operation of the movement, as well as insufficient torque of the mainspring. The power spring is inserted into a movement barrel and serves as a power source to drive the wristwatch 100. The power spring also affects the power reserve duration and the torque of the wristwatch 100.
[0066] Then, the precision evaluation function determines whether or not the oscillation angle is equal to or less than a predetermined threshold value. For example, the precision evaluation function determines whether or not the oscillation angle is equal to or less than a limit value indicated by a dotted line Th3 shown in Fig. 10.
When it is determined that the oscillation angle is equal to or less than the predetermined threshold value in the accuracy evaluation process, the notification data output function generates the notification data advocating a revision of the watch.
In the following, an example of a method to be performed by the watch strap according to the third embodiment will be described with reference to FIG. 11. FIG. 11 is a diagram illustrating an example of a method to be performed by the watch strap according to the third embodiment.
[0069] In step S31, the watch strap acquires the sound data indicating the ticking sound of the wristwatch via the sound data acquisition function.
[0070] In step S32, the watch strap calculates the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch by the precision evaluation function.
In step S33, the watch strap determines whether or not the oscillation angle calculated in step S32 is equal to or less than the threshold value predetermined by the precision evaluation function. By determining that the oscillation angle calculated in step S32 is equal to or less than the predetermined threshold value (step S33: YES), the watch band advances the process to step S34. By determining that the oscillation angle calculated in step S32 exceeds the predetermined threshold value (step S33: NO), the watch band returns the process to step S31.
In step S34, the watch strap generates the notification data recommending a revision of the watch via the notification data output function.
[0073] Above, the precision evaluation program according to the third embodiment has been described. The precision evaluation program according to the third embodiment calculates the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking measured by the sensor mounted on the watch strap at one point. predetermined time. Then, by determining that the oscillation angle is equal to or less than the predetermined threshold value, the accuracy evaluation program according to the third embodiment generates the notification data recommending overhaul of the watch.
[0074] Therefore, even if the watch does not itself have the function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program according to the third embodiment can assess the accuracy of the time displayed by the watch, and can notify an appropriate content and time of repair and inspection. Therefore, the accuracy evaluation program can allow a wristwatch such as a mechanical watch which has been used by a user for a long time to continue to be used, and can evaluate and report the accuracy of the watch. time displayed by the wristwatch.
[0075] In the third embodiment, the case that the precision evaluation function calculates the oscillation angle of the spring balance and determines whether or not to generate notification data based on its oscillation angle, is given by way of example, but the present invention is not limited to such a configuration. For example, the precision judgment function can calculate the oscillation angle at different times, and can determine whether or not to generate the notification data based on the statistical values of the plurality of oscillation angles such as , for example, an average value, a maximum value, and a minimum value.
[Fourth embodiment]
An accuracy evaluation program according to a fourth embodiment will be described with reference to Fig. 12. An accuracy evaluation function and an accuracy evaluation program notification data output function. according to the fourth embodiment are different from those of the three accuracy evaluation programs described above. Therefore, in the fourth embodiment, the accuracy judgment function and the notification data will be mainly described, and the description of the same contents as those of the three embodiments described above will be appropriately omitted.
The precision evaluation function calculates the oscillation angle of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch in the precision evaluation process. Specifically, the precision evaluation function calculates the angle of oscillation of the spring balance at a predetermined time. The predetermined time mentioned here is a time set at any time within a predetermined period, and may be periodic timing or aperiodic timing. When the predetermined time is a time set at periodic timing, the cycle is, for example, 24 hours.
FIG. 12 is a diagram illustrating an example of the oscillation angle calculated by a watch strap according to the fourth embodiment. FIG. 12 illustrates an example of the angle of oscillation of the spiral balance calculated every 24 hours by the precision evaluation function. A period T41 and a period T42 illustrated in FIG. 12 are examples of periods during which the angle of oscillation of the spiral balance with which the wristwatch is equipped is within a normal operating range. A period T40 illustrated in FIG. 12 is an example of a period during which the frequency is outside a predetermined range because the angle of oscillation of the spiral balance with which the wristwatch is equipped becomes too large. Reference is also made to the phenomenon in which the angle of oscillation of the spiral balance becomes too large as corresponding to a balance malfunction. For example, as shown in Fig. 12, the precision evaluation function calculates the oscillation angle at each deadline from the sound data indicating the ticking sound generated at each set deadline.
[0079] Next, the accuracy evaluation function determines whether or not the oscillation angle exceeds a predetermined threshold value. For example, the precision evaluation function determines whether or not the oscillation angle exceeds a limit value indicated by a dotted line Th4 shown in Fig. 12 corresponding, for example, to 360 degrees. In this case, the oscillation angle does not exceed 360 degrees during the period T41 and the period T42 shown in Fig. 12, but exceeds 360 degrees during the period T40 shown in Fig. 12. Therefore, in this case , the accuracy judgment function determines that the oscillation angle exceeds the predetermined threshold value.
When it is determined that the oscillation angle exceeds the predetermined threshold value during the accuracy evaluation process, the notification data output function generates the notification data indicating that an oscillation malfunction. has occurred.
In what follows, an example of a process to be performed by the watch strap according to the fourth embodiment will be described with reference to FIG. 13. FIG. 13 is a diagram illustrating an example of a process to be performed by the strap. watch according to the fourth embodiment.
[0082] In step S41, the watch band acquires the ticking sound data indicating the ticking sound of the watch by the ticking sound data acquisition function.
In step S42, the watch strap calculates the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the wristwatch via the precision evaluation function.
[0084] In step S43, the watch strap determines whether or not the oscillation angle calculated in step S42 exceeds the predetermined threshold value via the accuracy evaluation function. When it is determined that the oscillation angle calculated in step S42 exceeds the predetermined threshold value (step S43: YES), the watch band advances the process to step S44. When it is determined that the oscillation angle calculated in step S42 is equal to or less than the predetermined threshold value (step S43: NO), the watch band returns the process to step S41.
[0085] In step S44, when it is determined that the calculated oscillation angle exceeds the predetermined threshold value, the watch band generates the notification data indicating that an oscillation malfunction has occurred via the notification data output function.
In the above, the precision evaluation program according to the fourth embodiment has been described. The precision evaluation program according to the fourth embodiment calculates the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking collected by the sensor mounted on the watch strap at the time. predetermined. Then, by determining that the oscillation angle exceeds the predetermined threshold value, the accuracy judgment program according to the fourth embodiment calculates the frequency of the watch from the sound of the ticking of the watch, and generates the notification data indicating that the frequency is outside the predetermined range.
Therefore, even when the watch itself does not have the function of evaluating and notifying the accuracy of the time displayed by the watch, the accuracy evaluation program according to the fourth embodiment can assess the accuracy of the time displayed by the watch, and can notify an appropriate content and time of repair and inspection. Therefore, the accuracy evaluation program can enable a wristwatch such as a mechanical wristwatch which has been used by a user for a long time can continue to be used, and can evaluate and report the accuracy of the watch. time displayed by the wristwatch.
[0088] In the fourth embodiment, the case where the precision evaluation function calculates the oscillation angle of the spring balance and determines whether or not to generate notification data based on its angle d The oscillation is given by way of example, but the present invention is not limited to the configuration described above. For example, the precision evaluation function can calculate the oscillation angle at different times, and can determine whether or not to generate the notification data based on the statistical values of the plurality of oscillation angles. such as, for example, an average value and a maximum value.
[Fifth embodiment]
An accuracy evaluation program according to a fifth embodiment will be described with reference to Fig. 14. An accuracy evaluation function and an accuracy evaluation program notification data output function. according to the fifth embodiment are different from those of the four accuracy evaluation programs described above. Therefore, in the fifth embodiment, the accuracy judgment function and the notification data will be mainly described, and the description of the same contents as those of the four embodiments described above will be appropriately omitted.
The precision evaluation function calculates the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch. Then, the precision evaluation function calculates a cumulative non-carry time obtained by cumulatively counting a non-carry time indicating the time during which the oscillation angle fluctuates below a fluctuation area. predetermined for a predetermined period and the time during which the watch is not worn. The predetermined period mentioned here extends for example from several seconds to several minutes. The predetermined fluctuation area mentioned here is, for example, between 20 degrees and 30 degrees.
FIG. 14 is a diagram illustrating an example of an oscillation angle in the case of a flat posture and of an oscillation angle in the case of a standing position calculated by a watch strap according to the fifth embodiment. The angle of oscillation of the spiral balance fluctuates depending on whether the watch is in the flat position or the upright position. The flat position is a posture in which a plane parallel to the face of the watch is perpendicular to a direction of gravity. When the watch is in the standing position, since the gravity applied to the spring is small, the angle of oscillation is likely to be relatively large. On the other hand, the standing position is a posture in which the plane parallel to the face of the watch is parallel to the direction of gravity. When the watch is in the upright position, since the gravity applied to the hairspring increases, the oscillation angle is likely to be relatively small. The predetermined fluctuation zone described above is, at a predetermined instant Th5 illustrated in FIG. 14, for example between 20 degrees and 30 degrees. The hairspring incorporated into the spiral balance thus affects the accuracy of the time indicated by the wristwatch 100.
When the watch is worn by a user, since the watch alternates between the flat position and the standing position in the space of a few seconds to a few minutes so that the fluctuation range of the oscillation angle becomes large, it can be determined that the watch is worn. On the other hand, when the watch is not worn by the user, since the watch takes the flat position or the standing position for a long period of time so that the fluctuation range of the angle d oscillation becomes small, it can be determined that the watch is unworn.
Next, the precision evaluation function determines whether or not the cumulative non-wearing time exceeds the power reserve of the watch. The duration mentioned here with reference to the power reserve corresponds to the period of time starting when the mainspring is completely wound up and stopping when the mainspring is fully unwound.
When it is determined that the cumulative non-wearing time exceeds the power reserve duration of the watch during the accuracy evaluation process, the notification data output function generates notification data recommending winding. the mainspring of the wristwatch.
In the following, an example of a method to be performed by the watch strap according to the fifth embodiment will be described with reference to FIG. 15. FIG. 15 is a diagram illustrating an example of a method to be performed by the watch strap according to the fifth embodiment.
[0096] In step S51, the watch band acquires the sound data indicating the ticking sound of the watch through the ticking sound data acquisition function.
In step S52, the watch strap calculates, via the precision evaluation function, the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch bracelet, and the cumulative non-wearing time obtained by cumulative counting of the non-wearing time indicating the time during which the oscillation angle fluctuates below the predetermined fluctuation zone during the predetermined period and the time during which the watch is not worn.
In step S53, the watch strap determines whether or not the cumulative non-wearing time calculated in step S52 exceeds the power reserve duration of the watch by the precision evaluation function. By determining that the cumulative non-wearing time calculated in step S52 exceeds the power reserve time of the watch (step S53: YES), the watch strap advances the process to step S54. By determining that the cumulative non-wearing time calculated in step S52 is equal to or less than the power reserve time of the watch (step S53: NO), the watch strap returns the process to step S51.
In step S54, the watch strap generates the notification data recommending the winding of the mainspring of the wristwatch via the notification data output function.
[0100] Hereinafter, the accuracy evaluation program according to the fifth embodiment is described. The precision evaluation program according to the fifth embodiment calculates the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch, and the cumulative non-wearing time obtained by accumulating the non-wearing time indicating the time during which the oscillation angle fluctuates below the predetermined fluctuation zone during the predetermined period, and the time during which the watch is not worn. By determining that the cumulative non-wearing time exceeds the power reserve duration of the watch, the precision evaluation program generates the notification data recommending winding of the mainspring of the wristwatch.
[0101] Therefore, even if the watch itself does not have the function of evaluating and notifying the accuracy of the time displayed by the watch, the accuracy evaluation program according to the fifth embodiment can assess the accuracy of the time displayed by the watch, and can notify an appropriate content and time of repair and inspection. Therefore, the accuracy evaluation program can allow a wristwatch such as a mechanical wristwatch which has been used by a user for a long period of time to continue to be used, and can evaluate and report the accuracy. time displayed by the watch.
[Sixth embodiment]
[0102] An accuracy evaluation program according to a sixth embodiment will be described. An accuracy evaluation function and a notification data output function of the accuracy evaluation program according to the sixth embodiment are different from those of the five accuracy evaluation programs described above. Therefore, in the sixth embodiment, the accuracy judgment function and the notification data will be mainly described, and the description of the same contents as those of the five embodiments described above will be appropriately omitted.
[0103] The precision evaluation function calculates the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch. Then, the precision evaluation function calculates an accumulated carry time obtained by accumulating a carry time which is the time during which the oscillation angle fluctuates beyond a predetermined fluctuation area for a period. predetermined. The predetermined period mentioned here varies, for example, from several seconds to several minutes. The predetermined fluctuation area mentioned here varies, for example, from 20 degrees to 30 degrees.
[0104] Next, the precision evaluation function determines whether or not the time obtained by multiplying the cumulative wearing time by a predetermined coefficient having regard to a body temperature of a user wearing the watch exceeds a predetermined time. The coefficient mentioned here is a coefficient determined taking into account that the lubricating oil applied to a component of the movement of the wristwatch heats up and deteriorates under the effect of the body temperature of the user wearing the watch. When the lubricating oil deteriorates, since the resistance during operation of the movement becomes larger and larger, the accuracy of the time displayed by the watch may deteriorate.
[0105] When it is determined that the time obtained by multiplying the cumulative wearing time by the predetermined coefficient exceeds the predetermined time in the accuracy evaluation process, the notification data output function generates the notification data recommending a watch revision.
In what follows, an example of a method to be performed by a watch strap according to the sixth embodiment will be described with reference to FIG. 16. FIG. 16 is a diagram illustrating an example of a process to be performed by the strap. watch according to the sixth embodiment.
[0107] In step S61, the watch band acquires the ticking sound data indicating the ticking sound of the watch through the ticking sound data acquisition function.
[0108] In step S62, the watch strap calculates, via the precision evaluation function, the angle of oscillation of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch. bracelet, and the cumulative wearing time obtained by accumulating the wearing time which is the time during which the oscillation angle fluctuates beyond the predetermined fluctuation area during the predetermined period.
[0109] In step S63, the watch strap determines whether or not the time obtained by multiplying the cumulative wearing time calculated in step S62 by the predetermined coefficient taking into account the body temperature of the wearing user. the watch exceeds the predetermined time via the accuracy judgment function. By determining that the time obtained by multiplying the cumulative wearing time calculated in step S62 by the predetermined coefficient exceeds the predetermined time (step S63: YES), the watch band advances the process to step S64. By determining that the time obtained by multiplying the cumulative wearing time calculated in step S62 by the predetermined coefficient is equal to or shorter than the predetermined time (step S63: NO), the watch band returns the process to 1. step S61.
[0110] In step S64, the watch strap generates the notification data recommending a revision of the watch via the notification data output function.
[0111] Above, the accuracy evaluation program according to the sixth embodiment is described. The precision evaluation program according to the sixth embodiment calculates, in the precision calculation process, the oscillation angle of the spring balance with which the wristwatch is equipped from the sound of the ticking of the watch. , and the cumulative wear time obtained by accumulating the wear time which is the time during which the oscillation angle fluctuates beyond the predetermined fluctuation area during the predetermined period. By determining that the time obtained by multiplying the accumulated wear time by the predetermined coefficient exceeds the predetermined time, the accuracy evaluation program generates the notification data recommending a revision of the watch.
[0112] Therefore, even if the watch does not itself have a function for evaluating and notifying the accuracy of the time displayed by the watch, the accuracy evaluation program according to the sixth embodiment can assess the accuracy of the time displayed by the watch, and can notify an appropriate content and time of repair and inspection. Therefore, the accuracy evaluation program can allow a wristwatch such as a mechanical wristwatch which has been used by a user for a long period of time to continue to be used, and can evaluate and report the accuracy. time displayed by the watch.
[Seventh embodiment]
[0113] An accuracy evaluation program according to a seventh embodiment will be described with reference to Fig. 17. An accuracy evaluation function and an accuracy evaluation program notification data output function. according to the seventh embodiment are different from those of the six accuracy evaluation programs described above. Therefore, in the seventh embodiment, the accuracy judgment function and the notification data will be mainly described, and the description of the same contents as those of the six embodiments described above will be appropriately omitted.
[0114] The precision evaluation function calculates a frequency of the spiral balance with which the wristwatch is equipped from the sound of the ticking of the watch. Specifically, the precision evaluation function calculates the frequency of the wristwatch at a predetermined time. The predetermined time mentioned here is a time fixed at any time within a predetermined period, and can be set on periodic or aperiodic dates. When the predetermined time is a time set at periodic intervals, the cycle is, for example, 24 hours.
[0115] FIG. 17 is a diagram illustrating an example of a frequency calculated by a watch strap according to the seventh embodiment. FIG. 17 illustrates an example of the frequency of the wristwatch calculated every 24 hours by the precision evaluation function.
[0116] The precision evaluation function determines whether or not a frequency variation exceeds a predetermined threshold value. For example, as shown in Fig. 17, the precision evaluation function calculates a frequency indicated by a dotted line D72 after calculating a frequency indicated by a dotted line D71, and determines whether or not a difference V7 between both frequencies exceed a predetermined threshold value.
[0117] When it is determined that the frequency variation exceeds the predetermined threshold value, the notification data output function generates notification data advocating demagnetization or repair of the watch. The reason for this is that when the frequency of the watch increases or decreases significantly and when the frequency after the increase or decrease is maintained, a component that is part of the watch movement is often damaged or magnetized by a magnetic field. external.
[0118] In the following, an example of a method to be performed by the watch strap according to the seventh embodiment will be described with reference to FIG. 18. FIG. 18 is a diagram illustrating an example of a method to be performed by the watch strap according to the seventh embodiment.
[0119] In Step S71, the watch band acquires the sound data indicating the ticking sound of the watch through the ticking sound data acquisition function.
[0120] In step S72, the watch band calculates the frequency of the watch from the sound of the ticking of the watch via the accuracy evaluation function.
[0121] In step S73, the watch strap determines whether or not the frequency variation calculated in step S72 exceeds the threshold value predetermined by the accuracy evaluation function. By determining that the frequency variation calculated in step S72 exceeds the predetermined threshold value (step S73: YES), the watch band advances the process to step S74. By determining that the frequency variation calculated in step S72 is equal to or less than the predetermined threshold value (step S73: NO), the watch strap returns the process to step S71.
[0122] In step S74, the watch strap generates the notification data recommending demagnetization or repair of the watch via the notification data output function.
[0123] Above, the accuracy judgment program according to the seventh embodiment is described. The accuracy judgment program according to the seventh embodiment calculates the frequency of the watch during the predetermined period from the sound of the ticking of the watch. By determining that the frequency variation exceeds the predetermined threshold value, the accuracy evaluation program generates notification data recommending demagnetization or repair of the watch.
[0124] Therefore, even if the watch does not itself have a function for evaluating and notifying the accuracy of the time displayed by the watch, the accuracy evaluation program according to the seventh embodiment can assess the accuracy of the time displayed by the watch, and can notify an appropriate content and time of repair and inspection. Therefore, the accuracy evaluation program can allow a wristwatch such as a mechanical watch which has been used by a user for a long period of time to continue to be used, and can evaluate and report the accuracy of the time displayed by the wristwatch.
[Eighth embodiment]
[0125] A state evaluation program according to an eighth embodiment will be described with reference to Figures 19 to 21. In the eighth embodiment, the description of the same contents as those of the seven embodiments described below. above will be appropriately omitted.
[0126] Fig. 19 is a diagram illustrating an example of a state evaluation program to be executed by a CPU according to the eighth embodiment. As illustrated in Fig. 19, a state evaluation program 365 includes a state data acquisition function 366, a state evaluation function 367, and a notification data output function 368.
[0127] The state data acquisition function 366 acquires state data which is measured by the sensor mounted on the watch strap attached to the wristwatch and indicates a state of the wristwatch. Specifically, the state data acquisition function 366 includes a posture data acquisition function and a ticking sound data acquisition function.
[0128] The posture data acquisition function acquires the posture data which are measured by the sensor and indicate a posture of the watch. In this case, the sensor includes an acceleration sensor. Posture data is data indicating the watch posture specified on the basis of the watch acceleration measured by the acceleration sensor over a predetermined period. The posture data may be data indicating the specified watch posture based on a statistical value of the acceleration of the wristwatch measured by the acceleration sensor during the predetermined period. The statistical values mentioned here are, for example, a maximum value, a minimum value, an average value, and a median value.
[0129] Fig. 20 is a diagram illustrating an example of a posture trend of the wristwatch evaluated by the watchband according to the eighth embodiment on the basis of the posture data. In Fig. 20, a horizontal axis indicates the posture of the watch, and a vertical axis indicates the frequency of each posture of the watch.
[0130] The position "On the dial" illustrated in FIG. 20 indicates a posture in which the dial of the watch faces in a direction opposite to the direction of gravity. “Under the dial” shown in figure 20 indicates a posture in which the face of the watch faces the direction corresponding to the direction of gravity. The 3 o'clock up, 6 o'clock up, 9 o'clock up, and 12 o'clock up position shown in Fig. 20 respectively represent a posture in which a direction facing the respective characters at 3 o'clock, 6 hours, 9 o'clock, and 12 o'clock on the dial faces a direction opposite to that corresponding to the direction of gravity from a reference point corresponding to the support of the respective hour hands. The frequency shown in Fig. 20 is a value obtained by adding up the posture data for each posture of the corresponding wristwatch.
[0131] The ticking sound data acquisition function acquires sound data which is measured by the sensor and indicates the ticking sound of the wristwatch.
[0132] The state evaluation function 367 performs a state evaluation process for evaluating the state of the wristwatch based on the state data. Specifically, the state evaluation function 367 judges the posture trend of the watch based on the posture data, and calculates the frequency of the wristwatch based on the ticking sound indicated by the ticking sound data.
[0133] When a predetermined condition is satisfied in the state evaluation process, the notification data output function 368 generates notification data indicating at least one of the result of the state evaluation process. condition and content of repair and inspection based on this result. Specifically, when it is determined that the frequency of the watch is outside the predetermined range, the notification data output function 368 generates notification data recommending a revision of the watch in response to the trend of the watch. the posture of the watch shown in figure 20.
[0134] Fig. 21 is a diagram illustrating an example of a relationship between the posture of the watch indicated by the posture data according to the eighth embodiment, the frequency calculated on the basis of the ticking sound data, and the frequency to be adjusted at the time of the review. The first, second, and third columns of Fig. 21 respectively indicate the watch posture indicated by the posture data, the watch frequency calculated on the basis of the ticking sound data, and the frequency to adjust to. time of review.
[0135] For example, when the frequency resulting from the "6 o'clock up" posture is greater than the frequency resulting from other postures as shown in Fig. 20, and the frequency calculated on the basis of the sound data is of "-4" as shown in the fifth row and second column of Fig. 21, the notification data output function 368 generates notification data to request an adjustment such that the frequency becomes "+5" at the time of review. As a result, since a negative frequency caused by the posture tendency and a positive frequency caused by the revision are compensated with each other, the watch can display a more accurate time.
[0136] In what follows, an example of a method to be executed by a watch strap according to the eighth embodiment will be described with reference to FIG. 22. FIG. 22 is a diagram illustrating an example of a method to be performed by the bracelet. watch according to the eighth embodiment.
[0137] In step S81, the state data acquisition function 366 acquires the posture data indicating the posture of the wristwatch.
[0138] In step S82, the state evaluation function 367 judges the tendency of the posture of the wristwatch indicated by the posture data.
[0139] In step S83, the state data acquisition function 366 acquires the sound data indicating the ticking sound of the wristwatch.
[0140] In step S84, the state evaluation function 367 calculates the frequency of the watch on the basis of the ticking sound of the watch indicated by the ticking sound data.
[0141] In step S85, the state evaluation function 367 determines whether or not the frequency calculated in step S84 is outside the predetermined range. By determining that the frequency calculated in step S84 is outside the predetermined range (step S85: YES), the state evaluation function 367 advances the process to step S86. Conversely, by determining that the frequency calculated in step S84 falls within the predetermined range (step S85: NO), the state evaluation function 367 returns the process to step S81.
[0142] In step S86, the notification data output function 368 generates the notification data advocating overhaul of the watch in response to the posture trend of the watch evaluated in step S82.
[0143] Above, the state evaluation program according to the eighth embodiment has been described. The condition evaluation program evaluates the posture trend of the watch based on the posture data, calculates the frequency of the watch based on the ticking sound indicated by the ticking sound data, and determines whether or not the frequency of the watch is outside the predetermined range. Then, when it is determined that the frequency of the watch is outside the predetermined range, the condition evaluation program generates the notification data recommending overhaul of the watch in response to the posture tendency of the watch. wristwatch. Accordingly, the condition evaluation program can evaluate the posture and frequency of the wristwatch, and can notify an appropriate repair and inspection content on the basis of its frequency.
[Ninth embodiment]
[0144] A state evaluation program according to a ninth embodiment will be described with reference to Fig. 23. In the ninth embodiment, the description of the same contents as those of the eight embodiments described above will be appropriately omitted. The state evaluation program includes a state data acquisition function, a state evaluation function, and a notification data output function.
[0145] The state data acquisition function acquires state data which is measured by the sensor mounted on the watch strap attached to the wristwatch and indicates a state of the wristwatch. Specifically, the state data acquisition function includes an acceleration data acquisition function and a ticking sound data acquisition function.
[0146] The acceleration data acquisition function acquires data on the acceleration which is measured by the sensor and indicates the acceleration of the watch. In this case, the sensor includes an acceleration sensor. Fig. 23 is a diagram showing an example of the acceleration of the wristwatch indicated by the acceleration data according to the ninth embodiment. As shown in Fig. 23, acceleration data is, for example, data indicating a change in acceleration over time. The acceleration data may be data indicating the acceleration of the wristwatch measured over a predetermined period or its statistical value, rather than changes in acceleration over time. The statistical values mentioned here are, for example, a maximum value, a minimum value, an average value, and a median value.
[0147] The ticking sound data acquisition function acquires the ticking sound data which is collected by the sensor and indicates the ticking sound of the wristwatch.
[0148] The state evaluation function determines whether or not the acceleration indicated by the acceleration data exceeds a predetermined threshold value and whether or not the frequency of the watch calculated by the tick sound data. tac is outside a predetermined range of values. The predetermined threshold value relating to acceleration is, for example, a limit value indicated by a dotted line Th9 shown in Fig. 23 and is used to determine whether or not the acceleration of the watch increases due to a fall. When the watch is used as usual, the acceleration of the watch is about several G to several tens of G, and when the watch falls, its acceleration is suddenly in the range of several thousand G to several tens. thousands of G. Therefore, the predetermined threshold value used for the determination described above can be set relatively easily.
[0149] When it is determined that the acceleration indicated by the acceleration data exceeds the predetermined threshold value, and the wristwatch frequency calculated from the ticking sound data is outside the range predetermined value range, the notification data output function generates notification data advocating overhaul of the watch.
[0150] In the following, an example of a method to be performed by a watch strap according to the ninth embodiment will be described with reference to FIG. 24. FIG. 24 is a diagram illustrating an example of a method to be performed. executed by the watch strap according to the ninth embodiment.
[0151] In step S91, the state data acquisition function acquires the acceleration data indicating the acceleration of the watch.
[0152] In step S92, the state data acquisition function acquires the sound data indicating the ticking sound of the wristwatch.
[0153] In step S93, the condition evaluation function calculates the frequency of the wristwatch on the basis of the ticking sound of the wristwatch indicated by the ticking sound data acquired from the wristwatch. step S92.
[0154] In step S94, the state evaluation function determines whether or not the acceleration acquired in step S91 exceeds the predetermined value of only. By determining that the acceleration acquired in step S91 exceeds the predetermined threshold value (step S94: YES), the state evaluation function advances the process to step S95. Conversely, by determining that the acceleration acquired in step S91 is equal to or less than the predetermined threshold value (step S94: NO), the state evaluation function returns the process to step S91.
[0155] In step S95, the state evaluation function determines whether or not the watch frequency calculated in step S93 is outside the predetermined value range. By determining that the watch frequency calculated in step S93 is outside the predetermined range (step S95: YES), the state evaluation function advances the process to step S96. Conversely, by determining that the watch frequency calculated in step S93 is within the predetermined range (step S95: NO), the state evaluation function returns to the process at step S91.
[0156] In step S96, the notification data output function generates notification data recommending overhaul of the watch.
[0157] Above, the state evaluation program according to the ninth embodiment has been described. When it is determined that the acceleration indicated by the acceleration data exceeds the predetermined threshold value, and the frequency of the wristwatch calculated by the ticking sound data is outside the predetermined range, the condition assessment program generates notification data recommending overhaul of the watch. As a result, the condition evaluation program can evaluate the acceleration and frequency of the wristwatch, and can notify an appropriate repair and inspection content on the basis of the acceleration and frequency.
[Tenth embodiment]
[0158] A state evaluation program according to a tenth embodiment will be described with reference to Figures 25 and 26. In the tenth embodiment, the description of the same contents as those of the nine embodiments described below. above will be appropriately omitted. A watch according to the tenth embodiment comprises an oscillating mass for automatically winding the mainspring of the barrel supplying the movement with energy. The state evaluation program includes a state data acquisition function, a state evaluation function, and a notification data output function.
[0159] The state data acquisition function acquires angular speed and frequency data measured by a sensor. In this case, the sensor includes a gyro-sensor.
The angular speed frequency data is data indicating the frequency of an angular speed applied to the wristwatch for at least two distinct angular speed ranges. The angular speed applied to the watch is measured, for example, by the gyro-sensor during a predetermined period. The angular velocity indicated by the angular velocity and frequency data may be an angular velocity measured by the gyro-sensor or a statistical value of the angular velocity. The statistical values mentioned here are, for example, a maximum value, a minimum value, an average value, and a median value.
[0161] Figs. 25 and 26 are diagrams illustrating an example of the angular velocity frequency indicated by the angular velocity frequency data according to the tenth embodiment. FIG. 25 illustrates an example of the frequency of the angular speed applied to a wristwatch worn by a user whose arm oscillation amplitude is relatively small. Conversely, FIG. 26 illustrates an example of the frequency of the angular speed applied to a watch which would be worn by a user for whom the oscillation amplitude of the arm would be relatively large. Figures 25 and 26 are bar graphs showing the frequency of angular velocity applied to the watch for each range of the following values: 0 to 25, 26 to 50, ..., 226 to 250.
When the watch is worn by a user whose arm oscillation amplitude is relatively small, for example, as illustrated in FIG. 25, the angular speed applied to the wristwatch has a high indication frequency d 'a value of 100 or less, and a low indicating frequency of a value exceeding 100. When the angular speed applied to the watch is small, since the rotation of the oscillating mass is accelerated harder, the mainspring of the wristwatch is more difficult to wind.
On the other hand, when the watch is worn by a user whose amplitude of oscillation of the arm is relatively large, for example, as illustrated in FIG. 26, the angular speed applied to the wristwatch has a frequency of indicating a value of 100 or less as high as that shown in Fig. 25, and an indicating frequency of a value exceeding 100 which is also equal to the frequency indicating the value of 100 or less. When the angular speed applied to the watch is greater, since the rotation of the oscillating mass is easy to be accelerated, the mainspring of the watch can be more easily wound up.
[0164] The state evaluation function determines whether or not the frequency corresponding to a range where the angular speed indicated by the angular speed and frequency data exceeding a first predetermined threshold value exceeds a second predetermined threshold value. . Specifically, the state evaluation function determines whether or not at least a part of the angular velocity indicated by the angular velocity frequency data exceeds the first predetermined threshold value. The first predetermined threshold value is, for example, a limit value indicated by a dotted line Th101 shown in Figs. 25 and 26. Then, the state evaluation function determines whether or not at least part of the frequency. indicated by the angular velocity frequency data exceeds the second predetermined threshold value. The second predetermined threshold value is, for example, a limit value indicated by a dotted line Th102 shown in Figures 25 and 26.
[0165] When it is determined that the frequency in the range where the angular velocity indicated by the angular velocity and frequency frequency data exceeding the first predetermined threshold value exceeds the second predetermined threshold value, the data output function notification generates notification data indicating that the energy mainspring of the wristwatch has been wound up. When it is not determined that the frequency in the range where the angular velocity indicated by the angular velocity frequency data exceeding the first predetermined threshold value exceeds the second predetermined threshold value, the notification data output function generates notification data recommending the winding of the mainspring of the wristwatch.
[0166] In what follows, an example of a method to be performed by a watch strap according to the tenth embodiment will be described with reference to FIG. 27. FIG. 27 is a diagram illustrating an example of a process to be performed by the strap. watch according to the tenth embodiment.
[0167] In step S101, the state data acquisition function acquires the angular speed frequency data indicating the frequency of the angular speed applied to the wristwatch for at least two ranges of values corresponding to speeds distinct angular.
[0168] In step S102, the state evaluation function determines whether or not at least a part of the angular velocity indicated by the angular velocity frequency data acquired in step S101 exceeds the first value of. predetermined threshold. By determining that at least a part of the angular velocity indicated by the angular velocity and frequency data acquired in step S101 exceeds the second predetermined threshold value (step S102: YES), the state evaluation function advances the process to step S103. Conversely, by determining that at least part of the angular speed indicated by the angular speed and frequency data acquired in step S101 is equal to or less than the first predetermined threshold value (step S102: NO), the state evaluation function advances the process to step S105.
[0169] In step S103, the state evaluation function determines whether or not at least a part of the frequency indicated by the angular velocity and frequency data acquired in step S102 exceeds the second value of predetermined threshold. By determining that at least a part of the frequency indicated by the angular rate frequency data acquired in step S102 exceeds the predetermined threshold value (step S103: YES), the state evaluation function advances the process at step S104. On the other hand, by determining that at least a part of the frequency indicated by the angular velocity frequency data acquired in step S102 is equal to or less than the second predetermined threshold value (step S103: NO), the state evaluation function advances the process to step S105.
[0170] In step S104, the notification data output function generates notification data indicating that the mainspring of the wristwatch has been wound up.
[0171] In step S105, the notification data output function generates notification data recommending winding of the mainspring of the wristwatch.
[0172] Above, the state evaluation program according to the tenth embodiment has been described. When it is determined that the frequency in the range where the angular velocity indicated by the angular velocity frequency data exceeds the first predetermined threshold value exceeds the second predetermined threshold value, the state evaluation program generates data of notification indicating that the mainspring of the wristwatch has been wound up. Accordingly, when it can be judged that the oscillating weight is sufficiently rotated and therefore the power mainspring is sufficiently wound on the basis of the angular speed and the frequency applied to the watch, the evaluation program of state can notify that the energy mainspring is sufficiently wound.
[0173] Conversely, when it is not determined that the frequency in the range where the angular velocity indicated by the angular velocity frequency data exceeding the first predetermined threshold value exceeds the second predetermined threshold value, the program condition evaluation generates notification data recommending the winding of the mainspring of the wristwatch. Consequently, when it can be assessed that the oscillating mass is sufficiently driven in rotation and that the mainspring supplying the movement with mechanical energy is not sufficiently wound on the basis of the angular speed frequency applied to the watch, the Condition assessment program can notify that the power mainspring should be reassembled.
[Eleventh embodiment]
[0174] A state evaluation program according to an eleventh embodiment will be described with reference to Figures 28 and 29. In the eleventh embodiment, the description of the same contents as those of the ten embodiments described above. above will be appropriately omitted. The state evaluation program includes a state data acquisition function, a state evaluation function, and a notification data output function.
[0175] The state data acquisition function acquires state data which is measured by the sensor mounted on the watch strap attached to the wristwatch and indicates a state of the wristwatch. Specifically, the state data acquisition function includes a temperature data acquisition function and a ticking sound data acquisition function.
[0176] The temperature data acquisition function acquires temperature data which is measured by the sensor and indicates a temperature of the watch. In this case, the sensor includes a temperature sensor. Temperature data is data indicating the temperature of the watch measured by the temperature sensor for a predetermined period or its statistical value. The statistical values mentioned here are, for example, a maximum value, a minimum value, an average value, and a median value.
[0177] Fig. 28 is a diagram illustrating an example of the frequency of the temperature of the watch indicated by the temperature data according to the eleventh embodiment. Fig. 28 is a bar graph showing the frequency of the temperature of the watch for each corresponding value range of 0 to 9 degrees, 10 to 19 degrees, 20 to 29 degrees, 30 to 39 degrees and 40 to 49 degrees. Figure 28 also indicates that the frequency at which the temperature of the watch is 30-39 degrees is higher than the frequency at which the watch has other temperatures.
[0178] The sound data acquisition function acquires the ticking sound data which is measured by the sensor and indicates the ticking sound of the watch.
[0179] The state evaluation function determines whether or not the frequency of the watch calculated by the sound data is outside a predetermined range at the temperature indicated by the temperature data. Fig. 29 is a diagram illustrating an example of a relationship between the temperature of the watch indicated by the temperature data according to the eleventh embodiment and the frequency of the wristwatch calculated on the basis of the ticking sound data. In Fig. 29, a horizontal axis indicates the temperature of the watch indicated by the temperature data, and a vertical axis indicates the frequency of the wristwatch calculated on the basis of the ticking sound data. For example, it is determined whether or not the temperature indicated by the temperature data is a temperature in a range indicated by an arrow A111 on a straight line L111 shown in Fig. 29, and whether or not the frequency of the watch calculated on the basis of the ticking sound data is outside a range indicated by the arrow A112 shown in Figure 29.
[0180] When it is determined that the watch frequency calculated from the ticking sound data is outside the predetermined range at the temperature indicated by the temperature data, the notification data output function generates notification data recommending a watch overhaul. For example, when it is determined that the temperature is a temperature within the range indicated by arrow A111 on the straight line shown in Figure 29 and the frequency is outside the range indicated by arrow A112 shown in Figure 29 , the notification data output function generates notification data to cause the frequency in the range indicated by the arrow A111 shown in Fig. 29 to be as close as possible to zero. That is, in such a case, the notification data output function generates notification data prompting the relationship between the temperature indicated by the temperature data and the calculated frequency based on the ticking sound data to be also as close as possible to the straight line L112 shown in figure 29.
[0181] In the following, an example of a method to be performed by a watch strap according to the eleventh embodiment will be described with reference to FIG. 30. FIG. 30 is a diagram illustrating an example of a method to be performed by the watch strap according to the eleventh embodiment.
[0182] In step S111, the state data acquisition function acquires the temperature data indicating the temperature of the wristwatch.
[0183] In step S112, the state data acquisition function acquires the ticking sound data indicating the ticking sound of the wristwatch.
[0184] In step S113, the state evaluation function calculates the frequency of the wristwatch on the basis of the ticking sound of the wristwatch indicated by the ticking sound data acquired from the wristwatch. step S112.
[0185] In step S114, the state evaluation function determines whether or not the watch frequency calculated in step S113 is outside the predetermined range at the temperature indicated by the data on. the temperature acquired in step S111. By determining that the frequency of the wristwatch calculated in step S113 is outside the predetermined range at the temperature indicated by the temperature data acquired in step S111 (step S114: YES), the function of state evaluation advances the process to step S115. Conversely, by determining that the watch frequency calculated in step S113 falls within the predetermined range at the temperature indicated by the temperature data acquired in step S111 (step S114: NO), the judgment function d 'state returns the process to step S111.
[0186] In step S115, the notification data output function generates notification data recommending overhaul of the watch.
[0187] Above, the state evaluation program according to the eleventh embodiment has been described. When it is determined that the watch frequency calculated by the sound data is outside the predetermined range at the temperature indicated by the temperature data, the condition evaluation program generates notification data recommending a revision. of the wristwatch. Accordingly, the condition evaluation program can evaluate the temperature and frequency of the wristwatch, and can notify an appropriate repair and inspection content on the basis of its temperature and frequency.
[Twelfth embodiment]
[0188] A state evaluation program according to a twelfth embodiment will be described with reference to Fig. 31. In the twelfth embodiment, the description of the same contents as those of the eleven embodiments described above will be appropriately omitted. The state evaluation program includes a state data acquisition function, a state evaluation function, and a notification data output function.
[0189] The state data acquisition function is a temperature data acquisition function consisting in acquiring data on the temperature which is measured by the sensor and indicates changes in temperature of the wristwatch over time. time. In this case, the sensor includes a temperature sensor. Fig. 31 is a diagram showing an example of the change in temperature of the watch over time indicated by the temperature data according to the twelfth embodiment. In Fig. 31, the horizontal axis indicates time, and the vertical axis indicates the temperature of the watch.
[0190] The state evaluation function calculates the cumulative non-carry time which is the sum of the time during which the temperature indicated by the temperature data is below a predetermined threshold value and the time during which the watch is not worn by the user. Then, the state evaluation function determines whether or not the cumulative non-carry time exceeds the predetermined threshold value. For example, the state evaluation function adds the time during which the temperature indicated by the temperature data is below a limit value indicated by a dotted line Th121 shown in Figure 31 to the time of no -cumulative portage.
[0191] When it is determined that the cumulative non-wearing time exceeds the predetermined threshold value, the notification data output function generates notification data recommending winding of the mainspring of the wristwatch.
[0192] In the following, an example of a method to be performed by a watch strap according to the twelfth embodiment will be described with reference to FIG. 32. FIG. 32 is a diagram illustrating an example of a method to be performed. executed by the watch strap according to the twelfth embodiment.
[0193] In step S121, the state data acquisition function acquires the temperature data indicating the change in temperature of the watch over time.
[0194] In step S122, the state evaluation function calculates the cumulative non-carry time which corresponds to the sum of the time during which the temperature indicated by the temperature data is below the predetermined threshold value, and the time during which the watch is not worn by the user.
[0195] In step S123, the state evaluation function determines whether or not the cumulative non-carry time calculated in step S122 exceeds the predetermined threshold value. By determining that the cumulative non-carry time calculated in step S122 exceeds the predetermined threshold value (step S123: YES), the state evaluation function advances the process to step S124. Conversely, by determining that the cumulative non-carry time calculated in step S122 is equal to or less than the predetermined threshold value (step S123: NO), the state evaluation function returns the process to l 'step S121.
[0196] In step S124, the notification data output function generates notification data recommending winding of the mainspring of the wristwatch.
[0197] Above, the state evaluation program according to the twelfth embodiment has been described. When it is determined that the cumulative non-wear time exceeds the predetermined threshold value, the condition evaluation program generates notification data recommending winding of the mainspring of the wristwatch. As a result, the condition evaluation program can estimate the cumulative non-wearing time of the watch based on the temperature of the wristwatch, and can notify an appropriate repair and inspection content based on the. cumulative non-carry time.
[Thirteenth embodiment]
[0198] A state evaluation program according to a thirteenth embodiment will be described with reference to Fig. 33. In the thirteenth embodiment, the description of the same contents as those of the twelve embodiments described above will be appropriately omitted. The state evaluation program includes a state data acquisition function, a state evaluation function, and a notification data output function.
[0199] The state data acquisition function includes a magnetic data acquisition function and a ticking sound data acquisition function. The magnetic data acquisition function acquires magnetic data which is measured by the sensor and indicates a change in the strength of the magnetic field applied to the watch over time. The ticking sound data acquisition function acquires the ticking sound data which is measured by the sensor and indicates the ticking sound of the wristwatch. So in this case, the sensor includes a magnetic sensor and a microphone or a piezoelectric element.
[0200] Fig. 33 is a diagram illustrating an example of variation in magnetic field strength applied to the watch over time, indicated by the ticking sound data according to the thirteenth embodiment. In Fig. 33, the horizontal axis indicates time, and the vertical axis indicates a magnetic field strength measured by the magnetic sensor.
[0201] The state evaluation function determines whether or not the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value. The predetermined threshold value is a limit value indicated by a dotted line Th131 shown in Fig. 33. The state evaluation function determines whether or not the frequency calculated from the sound of the ticking indicated by the sound data. ticking time is outside a predetermined range.
[0202] When it is determined that the magnetic intensity indicated by the magnetic data exceeds the predetermined threshold value, the notification data output function generates notification data advocating demagnetization of the wristwatch. When it is determined that the frequency calculated from the ticking sound indicated by the ticking sound data is outside the predetermined range, the notification data output function generates notification data recommending a watch revision.
[0203] In what follows, an example of a method to be performed by a watch strap according to the thirteenth embodiment will be described with reference to FIG. 34. FIG. 34 is a diagram illustrating an example of a process to be performed by the strap watch according to the thirteenth embodiment.
[0204] In step S131, the state data acquisition function acquires the magnetic data indicating the variation in the strength of the magnetic field applied to the watch over time.
[0205] In step S132, the state evaluation function determines whether or not the magnetic intensity indicated by the magnetic data acquired in step S131 exceeds the predetermined threshold value. By determining that the magnetic intensity indicated by the magnetic data acquired in step S131 exceeds the predetermined threshold value (step S132: YES), the state evaluation function advances the process to step S133. Conversely, by determining that the magnetic intensity indicated by the magnetic data acquired in step S131 is equal to or less than the predetermined threshold value (step S132: NO), the state evaluation function returns the process. in step S131.
[0206] In step S133, the notification data output function generates notification data recommending demagnetization of the wristwatch.
[0207] In step S134, the state data acquisition function acquires the sound data indicating the ticking sound of the wristwatch.
[0208] In step S135, the condition evaluation function calculates the frequency of the wristwatch on the basis of the ticking sound of the wristwatch indicated by the ticking sound data acquired from the wristwatch. step S134.
[0209] In step S136, the state evaluation function determines whether or not the frequency of the wristwatch calculated in step S135 exceeds the predetermined threshold value. By determining that the frequency of the wristwatch calculated in step S135 exceeds the predetermined threshold value (step S136: YES), the state evaluation function advances the process to step S137.A conversely, by determining that the frequency of the wristwatch calculated in step S135 is equal to or less than the predetermined threshold value (step S136: NO), the state evaluation function returns to the process at step S131.
[0210] In step S137, the notification data output function generates notification data recommending overhaul of the watch.
[0211] Above, the state evaluation program according to the thirteenth embodiment has been described. When it is determined that the magnitude of the magnetism indicated by the magnetic data exceeds the predetermined threshold value, the condition evaluation program generates the notification data recommending demagnetization of the wristwatch. Therefore, the condition evaluation program can evaluate the strength of the magnetic field applied to the wristwatch, and can notify an appropriate repair and inspection content on the basis of this magnetic field strength.
[0212] When it is determined that the frequency calculated from the ticking sound indicated by the ticking sound data is outside the predetermined range, the condition evaluation program generates notification recommending a revision of the watch. Therefore, the condition evaluation program can evaluate the frequency of the wristwatch, and can notify appropriate content relating to repair or inspection based on this frequency.
[0213] The state evaluation program described above can be transmitted to another computer system via a transmission medium such as a network such as the Internet and a communication line such as a telephone line.
The state evaluation program described above can be a program which performs all or part of the functions described above. The program which performs part of the functions described above may be a program which can perform the functions described above in combination with a program recorded in a computer system in advance, that is, a program called differential program.
In the above, the embodiments for implementing the present invention have been described on the basis of the first to thirteenth embodiments, given by way of examples. The present invention is not however limited to these embodiments, and various variations and substitutions can be added as long as these do not depart from the spirit of the present invention.

权利要求:
Claims (18)
[1]
1. State evaluation program to get a computer to implementa state data acquisition function of acquiring state data which is collected by a sensor (31) mounted on a bracelet (30) attached to a wristwatch (100) and indicating a state of the watch bracelet (100)a state judging function of performing a state judging process by judging the state of the watch based on the state data; andan output function generating notification data of generating notification data indicating at least one of the result of the condition evaluation process and a repair and inspection content based on this result when a predetermined condition is satisfied in the state evaluation process.
[2]
2. Condition assessment program according to claim 1,wherein the state data acquisition function is a ticking sound data acquisition function for acquiring ticking sound data which is collected at a predetermined time by the sensor (31) and indicating a wristwatch ticking sound (100), andwherein the state evaluation function is an accuracy evaluation function (362) of performing an accuracy evaluation process evaluating the accuracy of the time displayed by the wristwatch (100) based on the ticking sound data.
[3]
3. Condition assessment program according to claim 2,wherein, in the precision judgment process, the precision judgment function (362) is a function of accumulating the time during which the ticking sound of the wristwatch is collected to calculate an accumulated time of generating the ticking sound, and determining whether or not the cumulative time of generating the ticking sound exceeds a predetermined threshold value (Th1), andwherein the notification data output function is a function generating notification data recommending an overhaul of the wristwatch (100) when it is determined that the cumulative time of generating the ticking sound exceeds the predetermined threshold value (Th1) during the precision assessment process.
[4]
4. Condition assessment program according to claim 2,wherein, in the precision evaluation process, the precision evaluation function is a function of calculating an oscillation angle of a sprung balance disposed in the wristwatch (100) from the sound the ticking of the wristwatch (100), calculating an accumulated training time which is the time during which the watch is trained by counting the time during which the oscillation angle exceeds a predetermined threshold value (Th2) , and determining whether or not the cumulative training time exceeds a predetermined threshold value (Th21), andwherein the notification data output function is a function generating notification data for advocating overhaul of the watch when it is determined that the cumulative training time exceeds the predetermined threshold value (Th21) during the process of accuracy assessment.
[5]
5. Condition assessment program according to claim 2,wherein, in the precision evaluation process, the precision evaluation function is a function of calculating an oscillation angle of a spring balance disposed in the wristwatch (100) from the tic sound -tac of the wristwatch (100), and to determine whether or not the oscillation angle is equal to or less than a predetermined threshold value (Th2), andwherein the notification data output function is a function generating notification data for advocating overhaul of the watch when it is determined that the oscillation angle is equal to or less than the predetermined threshold value (Th2) during of the accuracy assessment process.
[6]
6. Condition assessment program according to claim 2,wherein, in the precision evaluation process, the precision evaluation function is a function of calculating an oscillation angle of a spiral balance disposed in the wristwatch (100) from the sound of the tic -tac of the watch, and determining whether or not the oscillation angle exceeds a predetermined threshold value (Th4), andwherein the notification data output function is a function generating notification data indicating that an oscillation malfunction occurs when it is determined that the oscillation angle exceeds the predetermined threshold value (Th4) during the accuracy assessment process.
[7]
7. Condition assessment program according to claim 2,wherein, in the process of accuracy evaluation, the accuracy evaluation function is a function of calculating an oscillation angle of a spiral balance disposed in the wristwatch from the sound of the ticking of the watch, by calculating a cumulative non-wear time obtained by counting a non-wear time indicating the time during which the oscillation angle fluctuates below a predetermined fluctuation zone for a predetermined period, and the time during which the watch is not worn, and determining whether or not the cumulative non-wearing time exceeds the duration of the wristwatch power reserve (100), andwherein the notification data output function is a notification data generation function for prompting a winding of a mainspring of the wristwatch when it is determined that the cumulative non-wearing time exceeds the reserve time of the wristwatch. operation of the wristwatch (100) during the accuracy evaluation process.
[8]
8. Condition assessment program according to claim 2,wherein, in the process of accuracy evaluation, the accuracy evaluation function is a function of calculating an oscillation angle of a spiral balance disposed in the wristwatch from the sound of the ticking of the watch, by calculating a cumulative wear time obtained by accumulating a wear time which is the time during which the oscillation angle fluctuates beyond a predetermined fluctuation area for a predetermined period, and determining whether or not the time obtained by multiplying the cumulative wearing time by a predetermined coefficient according to a body temperature of a user wearing the watch exceeds a predetermined time, andwherein the notification data output function is a function generating notification data recommending overhaul of the watch when it is determined that the time obtained by multiplying the cumulative wearing time by the predetermined coefficient exceeds the predetermined time obtained in of the accuracy assessment process.
[9]
9. Condition assessment program according to claim 2,wherein, in the precision judgment process, the precision judgment function is a function of calculating a frequency of the watch for a predetermined period from the sound of the ticking of the watch, and determining whether or not an amount of frequency variation exceeds a predetermined threshold value, andwherein the notification data output function is a function generating notification data advocating demagnetization or repair of the wristwatch (100) when it is determined that the amount of frequency variation exceeds the predetermined threshold value.
[10]
10. Condition assessment program according to claim 1,wherein the state data acquisition function includes a posture data acquisition function for acquiring posture data which is collected by the sensor (31) and indicates a posture of the watch and a function of 'ticking sound data acquisition for acquiring ticking sound data which is collected by the sensor (31) and indicates a ticking sound of the wristwatch (100),wherein the state evaluation function is a function of evaluating a posture tendency of the watch based on the posture data, calculating a frequency of the watch based on the ticking sound indicated by the sound data, and determining whether or not the frequency of the watch is outside a predetermined range, andwherein the notification data output function is a function generating notification data to request an overhaul of the wristwatch (100) in response to the posture trend of the wristwatch (100) when it is determined that the frequency of the wristwatch (100) is outside the predetermined range.
[11]
11. Condition assessment program according to claim 1,wherein the state data acquisition function includes an acceleration data acquisition function to acquire acceleration data which is collected by the sensor (31), and which indicates the acceleration of the watch, and a ticking sound data acquisition function for acquiring ticking sound data which is collected by the sensor (31) and which indicates a ticking sound of the wristwatch (100) ,wherein the state evaluation function is a function for determining whether or not the acceleration indicated by the acceleration data exceeds a predetermined threshold value (Th9), and whether or not a frequency of the wristwatch (100) calculated from the ticking sound data is outside a predetermined range, andwherein the notification data output function is a function generating notification data for requesting that the wristwatch (100) be serviced when it is determined that the acceleration indicated by the acceleration data exceeds the value threshold (Th9), and it is determined that the frequency of the wristwatch (100) calculated from the sound data is outside the predetermined range.
[12]
12. Condition assessment program according to claim 1,wherein the state data acquisition function is an angular rate frequency data acquisition function of acquiring angular rate frequency data which is collected by the sensor (31) and indicates a frequency of an angular speed applied to the wristwatch (100) for ranges of values corresponding to at least two distinct angular speeds,wherein the state evaluation function is a function for determining whether or not a frequency corresponding to a range of values where the angular velocity indicated by the angular velocity frequency data exceeding a first predetermined threshold value (Th101) exceeds a second predetermined threshold value (Th102), andwherein the notification data output function is a function generating notification data indicating that a mainspring of the wristwatch (100) has been wound up when it is determined that the frequency within the range where the angular speed indicated by the angular speed and frequency data exceeding the first predetermined threshold value (Th101) exceeds the second predetermined threshold value (Th102).
[13]
13. Condition assessment program according to claim 1,wherein the state data acquisition function is an angular rate frequency data acquisition function for acquiring angular rate frequency data which is collected by the sensor and which indicates a frequency of an angular rate applied to the watch for value ranges corresponding to at least two distinct angular speeds,wherein the state evaluation function is a function for determining whether or not the frequency within a range of values where the angular velocity indicated by the angular velocity frequency data exceeding a first predetermined threshold value (Th101) exceeds a second predetermined threshold value (Th102), andwherein the notification data output function is a function generating notification data advocating the winding of the energy mainspring of the wristwatch (101) when it is not determined that the frequency within the range of values where the angular velocity indicated by the angular velocity frequency data exceeds the first predetermined threshold value (Th101) exceeds the second predetermined threshold value (Th102).
[14]
14. Condition assessment program according to claim 1,wherein the state data acquisition function comprises a temperature data acquisition function acquiring temperature data which is collected by the sensor (31) and which indicates a temperature of the watch; and a ticking sound data acquisition function for acquiring ticking sound data which is collected by the sensor (31) and which indicates a ticking sound of the wristwatch (100),wherein the state evaluation function is a function for determining whether or not a watch frequency calculated from the ticking sound data is outside a predetermined range at a temperature indicated by the temperature data, andwherein the notification data output function is a function generating notification data for recommending overhaul of the watch when it is determined that the frequency of the wristwatch (100) calculated by the ticking sound data is within outside the predetermined range at the temperature indicated by the temperature data.
[15]
15. Condition assessment program according to claim 1,wherein the state data acquisition function is a temperature data acquisition function for acquiring temperature data which is collected by the sensor (31) and which indicates a change in the temperature of the watch at the over time,wherein the state evaluation function is a function of calculating a cumulative non-carry time which corresponds to the sum of the time during which the temperature indicated by the temperature data is below a value predetermined threshold (Th121), and the time during which the watch is not worn by a user, and to determine whether or not the cumulative non-wear time exceeds a predetermined threshold value, andwherein the notification data output function is a function generating notification data recommending winding of the mainspring of the wristwatch when it is determined that the cumulative non-wearing time exceeds the predetermined threshold value.
[16]
16. A condition assessment program according to claim 1,wherein the state data acquisition function comprises a magnetic data acquisition function for acquiring the magnetic data which is collected by the sensor (31) and which indicates variations in the strength of the magnetic field applied to the watch bracelet over time,wherein the state evaluation function includes a function for determining whether or not the strength of the magnetic field indicated by the magnetic data exceeds a predetermined threshold value (Th131), andwherein the notification data output function includes a function generating notification data for advocating demagnetization of the watch when it is determined that the magnetism intensity indicated by the magnetic data exceeds the predetermined threshold value (Th131).
[17]
17. A condition assessment program according to claim 16,wherein the state data acquisition function further comprises a ticking sound data acquisition function for acquiring ticking sound data which is collected by the sensor (31) and which indicates a sound wristwatch ticking (100),wherein the state evaluation function further comprises a function for determining whether or not the frequency calculated from the ticking sound indicated by the ticking sound data is outside a range predetermined, andwherein the notification data output function further comprises a function generating notification data advocating a revision of the watch to be revised when it is determined that the frequency calculated from the sound of the ticking indicated by the sound data of the watch be revised. ticking is outside the predetermined range.
[18]
18. Bracelet (30) of a wristwatch (100) on which is mounted a computer which executes the state evaluation program according to one of claims 1 to 17.

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同族专利:

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公开号 | 公开日

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CN111752135A|2020-10-09|

引用文献:

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公开号 | 申请日 | 公开日 | 申请人 | 专利标题

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法律状态:

优先权:

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申请号 | 申请日 | 专利标题

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JP2019064797|2019-03-28|

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JP2019236797A|JP2020165944A|2019-03-28|2019-12-26|State evaluation program and band for wristwatches|

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