METHOD AND SYSTEM FOR PERMITTING COMPONENT CONTROL REDUNDANCY IN A DIGITAL NETWORK OF INTELLIGENT DE

专利摘要:
An intelligent sensor device (102) having a primary detection function for detecting a state of a physical component and concurrently enabling one or more fallback functions to detect one or more states of one or more other physical components in response to one or more other intelligent sensor devices (102 and / or 116) unable to perform their primary function of detecting and / or reporting on the one or more states of one or more other physical components.
公开号:FR3067326A1
申请号:FR1854845
申请日:2018-06-05
公开日:2018-12-14
发明作者:Timothy Robert NORTH；Tod Alexander GILBERT；Steven BONNETT
申请人:GE Aviation Systems Ltd；
IPC主号:

专利说明:

Method and system for enabling redundancy of component control in a digital network of intelligent sensing devices
This description generally relates to the use of a network of intelligent detection devices, having primary and backup functions respectively, to control physical components on an aircraft.
Aircraft have many physical components, many of which are critical, which must be checked in flight and / or on the ground for failure states. For example, a single gearbox can have forty or more sensors to control gears and bearings in the gearbox. Usually, each of these sensors is an analog sensor with a pair of wires leading to an input module of a command / control device. Given the hundreds or more sensors in an aircraft, the weight of the sensors and associated wiring can be significant, thus adding to the amount of fuel consumed in flight. In addition, the installation and maintenance costs associated with analog cabling with the sensors can be significant.
In addition, in order to increase security, many physical components are controlled using dedicated redundant sensors for each physical component. For example, a critical physical component can comprise two or more sensors which are dedicated to the control of the critical physical component. This redundancy of sensors and associated wiring further increases the weight of the aircraft, and the associated costs of fuel, installation, and maintenance.
For example, as described in Chen, US Patent No. 9,233,763: “In addition, each of the various subsystems may each include one or more sensors to facilitate measurement and generation of data regarding the operation of this aircraft subsystem 100 (and / or a component of this subsystem), to help carry out diagnostics and health check of one or more subsystems, etc. For critical subsystems, it is common to have redundant sensors (for example, tripling redundancy or quadrupling redundancy) in the event of a sensor failure. Each sensor can generate data that is used to provide information to the pilot during the flight and to be used by aeronautical maintenance personnel before or after the flight ”, and“ 504-1-504-4 intelligent redundant sensors (for example, four times redundant as shown) each enter a respective measured sensor signal 506-1-506-4 into a reference signal generator 508. The reference signal generator 508 discards (or ignores) the highest sensor value and the lowest sensor value and averages the two remaining sensor signals to provide the reference signal. This technique is used for quadrupling redundant (and higher redundancy) configurations. For triple redundant sensors, the highest sensor value and the lowest sensor value are discarded (or ignored) and the remaining sensor signals become the reference value. ”However, Chen's publication employs redundant sensors of the same type which are each respectively dedicated to the control of the same component / subsystem.
The above-mentioned deficiencies in aircraft sensor systems are merely intended to provide an overview of some of the problems of current technology, and are not intended to be exhaustive. Other problems of the state of the art, and the corresponding benefits of some of the various nonlimiting embodiments described here, may become more apparent on reading the following detailed description.
The following presents a summary allowing a better understanding of one or more embodiments of the invention described here. This summary is not intended to identify critical or key elements, or to delineate any area of particular embodiments or any area of claims. Its sole purpose is to present concepts in a simplified form as a prelude to the more detailed description which will be presented later. In one or more embodiments described herein, computer-implemented systems, methods, devices, and / or computer program products that facilitate the use of an intelligent sensor device (e.g., an intelligent detection device) that has a primary function (for example code, logic, program, configuration, algorithm, circuitry, etc.) to detect a state of a physical component and can concurrently allow one or more backup functions to detect one or more states of a or several other physical components in response to one or more other intelligent sensor devices which cannot perform their primary detection function and / or report the one or more states of the one or more other physical components are described.
According to one embodiment, an intelligent sensor device is provided. The intelligent sensor device may include a sensing element. The intelligent sensor device can also include a memory which stores computer executable components. The intelligent sensor device may further include a processor which executes the executable components computer stored in the memory. The computer-executable components may include a control component configured to: generate a first detected information item associated with a first physical component of the aircraft as a function of the execution of a primary detection function and of one or more signals coming from the 'detection element; controlling the communication from a second intelligent sensor device carrying out a detection associated with a second physical aircraft component; and in response to a first determination that the second smart sensor device is not functioning properly based on the communication: performing a backup detection function in conjunction with the primary detection function, generating the first detected information associated with the first physical component of an aircraft using the primary detection function and one or more other signals coming from the detection element, and generating a second detected information item associated with the second physical component of the aircraft using the emergency detection function and one or more several additional signals from the detection element.
According to one embodiment, a method can include generating, by a first intelligent sensor device, a first detected item of information associated with a first physical component of an aircraft as a function of the execution of a primary detection function; controlling, by the first intelligent sensor device, a communication from a second intelligent sensor device performing a detection associated with a second physical aircraft component; and in response to the determination by the first intelligent sensor device that the second intelligent sensor device is not functioning properly depending on the communication: performing a backup detection function in conjunction with the primary detection function, generating the first detected information associated with the first aircraft physical component using the primary detection function, and generating a second detected information associated with the second aircraft physical component using the standby detection function.
According to yet another embodiment, a system is provided. The system may include a first smart sensor device coupled to communicate with a second smart sensor device; wherein the first intelligent sensor device includes a first function for controlling a first physical aircraft component and a second function for controlling a second physical aircraft component, and the first intelligent sensor device controls the first physical aircraft component using the first function; wherein the second intelligent sensor device includes the second function for controlling the second physical aircraft component, and the second intelligent sensor device controls the second physical aircraft component using the second function; and wherein the first intelligent sensor device, in response to a first determination that the second intelligent sensor device no longer controls the second aircraft physical component, controls the first aircraft physical component using the first function and controls the second aircraft physical component using the second function.
To accomplish the objectives described above, this description further includes one or more of the features of the invention here more precisely described. The following description and the accompanying drawings present in detail certain illustrative aspects of the present invention. However, these aspects are indicative of only a few of the ways in which the principles of the present invention can be employed. Other aspects, advantages, and new features of the present invention will become apparent from the following detailed description taken in conjunction with the drawings. It will also be appreciated that the detailed description may include additional embodiments or variations in addition to those described in this summary.
FIG. 1 illustrates a schematic diagram of an example, non-system which facilitates network control of the physical components of intelligent sensor devices of an aircraft according to one or more embodiments described here.
FIG. 2 illustrates a schematic diagram of a non-limiting example of a control component which facilitates network control by intelligent sensor devices of physical components of an aircraft according to one or more embodiments described here.
FIG. 3 illustrates a schematic diagram of a non-limiting example of networked intelligent sensor devices controlling the physical components of an aircraft according to one or more embodiments described here.
FIG. 4 illustrates a schematic diagram of a non-limiting example of networked intelligent sensor devices controlling the physical components of an aircraft according to one or more embodiments described here.
FIG. 5 illustrates a schematic diagram of a non-limiting example of networked intelligent sensor devices controlling the physical components of an aircraft according to one or more embodiments described here.
FIG. 6 illustrates a schematic diagram of a non-limiting example of networked intelligent sensor devices controlling the physical components of an aircraft according to one or more embodiments described here.
FIG. 7 illustrates a flow diagram of a non-limiting example of a computer-implemented method which facilitates primary detection and standby functions of intelligent sensor devices of an aircraft according to one or more embodiments described here.
FIG. 8 illustrates a flow diagram of a non-limiting example of a computer-implemented method which facilitates primary detection and backup functions of intelligent sensor devices of an aircraft according to one or more embodiments described here.
FIG. 9 illustrates a schematic diagram of a non-limiting example of an operating environment in which one or more embodiments described here can be facilitated.
FIG. 10 illustrates a schematic diagram of a non-limiting example of a computer environment in which one or more embodiments described here can be facilitated.
In order to overcome one or more disadvantages as described in the context, one or more embodiments described herein may employ an intelligent sensor device which has a primary function for detecting a state of a physical component and may concurrently allow one or more backup functions for detecting one or more states of one or more other physical components in response to one or more other intelligent sensor devices which cannot perform their primary detection function and / or report the one or more states of one or more other physical components.
For example, a first intelligent sensor device may include a primary function to detect a state of a first physical component, and a second intelligent sensor device may include a primary function to detect a state of a second physical component. The first intelligent sensor device may include a backup function for detecting a state of the second physical component, and the second intelligent sensor device may include a backup function for detecting a state of the first physical component. The first smart sensor device and the second smart sensor device can communicate together over a network. In a non-limiting example, the first smart sensor device and the second smart sensor device can send respective status messages (e.g., a heartbeat) to each indicating their respective health states, or they can send each other information detected for their respective physical components or to another device on the network. In response to the determination by any intelligent sensor device of an indication of a failure state of the other intelligent sensor device, the intelligent sensor device may enable their backup function in conjunction with their primary function. For example, if the first smart sensor device receives an indication from the second smart sensor device that the second smart sensor device is not working properly or if the first smart sensor device determines that the second smart sensor device is no longer communicating ( for example no transmission for a threshold amount of time), the first intelligent sensor device can add its backup function to treat it jointly with its primary function. In this way, the first intelligent sensor device can detect states of the first physical component and the second physical component. In the example above, the pair of smart sensor devices act as backup for each other by also performing their primary detection functions. In other embodiments, three or more smart sensor devices can act as a back-up for each other while also performing their primary detection functions.
Computer processing systems, computer-implemented methods, devices, and / or computer program products employ hardware and / or software to solve problems that are highly technical in nature (for example, related to the intelligent sensor device that has a primary function for detecting a state of a physical component and may concurrently allow one or more backup functions to detect one or more states of one or more other physical components in response to one or more other intelligent sensor devices that cannot perform their primary detection function and / or report the one or more states of the one or more other physical components, etc.), which are not abstract and which cannot be performed as a series of mental acts by a human. One or more embodiments of the present computer processing systems, methods, devices, and / or computer program products allow the intelligent sensor devices to employ artificial intelligence for coordination with one another, and optionally with other devices. , to perform actions to implement their primary detection functions and enable their emergency detection functions in response to a failure state of one or more of the intelligent sensor devices.
Networked smart sensor devices with primary and back-up detection functions can reduce the number of detection devices and associated wiring in an aircraft, thereby reducing the weight of the aircraft and reducing associated fuel costs, installation, and maintenance.
While examples here refer to an aircraft by way of illustration, it will be appreciated that the new concepts described here can be used for any type of vehicle or machine which comprises a significant quantity of detection devices, of which non-limiting examples can include a spacecraft, satellite, watercraft, submarine, drilling or drilling machine, or any other suitable vehicle or machine.
In general, sensors (e.g. smart sensor devices) can be used to detect light, movement, temperature, magnetic fields, gravitational forces, humidity, vibrations, pressure, electric fields , current, voltage, sound, and other suitable physical aspects of an environment via one or more sensing elements. Non-limiting examples of sensors may include acoustic sensors, vibration sensors, air data sensors (e.g. air speed, altimeter, angle of attack sensor), inertia sensors ( e.g. gyroscope, accelerometer, inertia reference sensor), magnetic compass, navigation instrument sensor, electric current sensors, electric potential sensors, magnetic sensors, radio frequency sensors, fluid flow sensors, position, angle, displacement, distance, speed sensors (for example, an inclinometer, a position sensor, a rotary encoder, variable rotary / linear differential transducers, a tachometer, etc.), optical, light, imaging sensors (for example, charge-coupled device, infrared sensor, LED, fiber optic sensors, photodiode, phototransistors, photoel sensor ectric, etc.), pressure sensors and gauges, strain gauges, torque sensors, piezoelectric force sensors, density sensors, level sensors, thermal, heat, temperature sensors (e.g. heat flow sensor, thermometer, resistance-based temperature detector, thermistor, thermocouple, etc.), proximity / presence sensors, or any other suitable type of sensor device.
Physical components can include any hardware component of a vehicle or machine, non-limiting examples of which may include, gears, bearings, motors, pumps, valves, hoses, cables, shutters, tanks, wheels, blades, fans, gaskets, or any other suitable material component of a vehicle or machine.
It will be appreciated that intelligent sensor devices as described in the examples of the present invention are located in a suitable proximity to a physical component to perform a primary detection function of the physical component, and can also be located in a suitable proximity to another physical component to perform a backup detection function of the other physical component.
The aircraft may include any suitable type of aircraft, non-limiting examples of which include airplanes, helicopters, airships, commercial aircraft, non-commercial aircraft, non-military aircraft, government aircraft, space aircraft , and / or any other suitable type of aircraft.
FIG. 1 illustrates a schematic diagram of a non-limiting example of the system 100, which can be implemented in an aircraft, which facilitates the automated use of an intelligent sensor device which has a primary function for detecting a state of a physical component and can concurrently allow one or more backup functions to detect one or more states of one or more other physical components in response to one or more other intelligent sensor devices that cannot perform their primary detection function and / or report the one or more states of the one or more other physical components according to one or more embodiments described here. A repeated description of the identical elements used in other embodiments described herein is omitted for the sake of brevity. Aspects of the systems (for example, system 100 and others), devices or processes explained in this description may constitute one (of) component (s) executable by machine implemented in one (of) machine (s) , for example, implemented in one or more readable medium (s) computerized associated with one or more machines. Such component (s), when executed by one or more machines, for example, one or more computers, one or more computing devices, one or more virtual machines, etc., can cause the one or more machines to perform the operations described.
As shown in FIG. 1, the system 100 may include one or more intelligent sensor devices 102, one or more intelligent sensor devices 116, one or more networks 114, and one or more server devices 118.
The intelligent sensor device 102 can include or otherwise be associated with at least one memory 1110 which can store computer executable components (for example, the computer executable components can include, but are not limited to, the control component 104, and associated components). The intelligent sensor device 102 can also comprise or be otherwise associated with at least one processor 108 which executes the executable components computer stored in the memory 110. The intelligent sensor device 102 can also include one or more detection elements 106 for detecting a (a) physical aspect (s) of an environment around the smart sensor device 102. The smart sensor device 102 may further include a system bus 112 which can couple the various components including, but not limited to, a control component 104, a detection element 106, a processor 108, a memory 110, and / or other components.
The intelligent sensor device 116 can be a sensor device similar to the intelligent sensor device 102 with the ability to detect more, less, or different physical aspect (s) of an environment than the intelligent sensor device 102. In a nonlimiting example, the intelligent sensor device 102 can detect vibrations, while the intelligent sensor device 116 detects acoustic phenomena. In another non-limiting example, the smart sensor device 102 can detect vibrations and sounds, while the smart sensor device 116 detects optical aspects of the environment. In yet another non-limiting example, the smart sensor device 102 can detect vibrations and sounds, while the smart sensor device
116 detects vibrations and temperature. It will be appreciated that any combination of detection capabilities can be implemented in the smart sensor device 102 and / or the smart sensor device 116. All such embodiments are contemplated. The intelligent sensor device 116 can also include a control component 104.
The server device 118 may be any computer device that can be coupled to communicate with the smart sensor device 102 and / or the smart sensor device 116, a non-limiting example of which may include a server computer, a computer, a mobile computer, control system, air traffic control system, collision avoidance system, ground control system, weather computer, emergency system, communication system, warning system alarm, radar system, traffic system, data analysis system, communication device, and / or any other suitable computer device. It will be appreciated that the smart sensor device 102, the smart sensor device 116, and the server device 118 can be equipped with communication hardware and / or software that allows communication between the smart sensor device 102, the communication device. smart sensor 116, and server device 118.
The various components (e.g., control component 104, processor 108, memory 110, smart sensor device 102, smart sensor device 116, server device (s) 118, and / or other components) of the system 100 may be connected either directly or via one or more networks 114. Such networks 114 may include wired or wireless networks, including, but not limited to, a cellular network, communication, global network communication (WAN) (for example, the Internet), and / or a local area network (LAN). Wireless networks can include any suitable wireless communication medium, including non-limiting examples include, electromagnetic (EM), cellular, WAN, wireless fidelity (Wifi), Wi-Max, WLAN, Li-Fi, radio communication, microwave communication, satellite, optical communication, sonic, electromagnetic induction communication, and / or any other suitable wireless communication technology. It will be appreciated that by establishing a data connection and or a communication channel, any suitable communication protocol and / or authentication mechanism can be used in the embodiments described here.
FIG. 2 illustrates a schematic diagram of an example of control component 104 which has a primary function for detecting a state of a physical component and can concurrently allow one or more standby functions to detect one or more states of one or more others physical components in response to one or more other intelligent sensor devices that cannot perform their primary detection function and / or report the one or more states of the one or more other physical components according to one or more embodiments described herein. A repeated description of the identical elements used in other embodiments described herein is omitted for the sake of brevity.
In some embodiments, the control component 104 may include a communication component 202 which can receive data from or transmit data to another smart sensor device 102, smart sensor device 116, and / or server device 118 In a nonlimiting example, the communication component 202 can transmit detected information generated by a state detection component 206 to another intelligent sensor device 102, intelligent sensor device 116, and / or server device 118. In another example, the communication component 202 can receive information detected from another intelligent sensor device 102 or intelligent sensor device 116. In yet another example, the communication component 202 can receive control instructions (for example commands or requests) from another intelligent sensor device 102, heading device intelligent reader 116, and / or server device 118. It will be appreciated that the communication component 202 can receive any suitable type of data from or transmit any suitable type of data to another intelligent sensor device 102, intelligent sensor device 116, and / or server device 118. It will be appreciated that the communication component 202 can send information detected periodically or on demand to another intelligent sensor device 102, intelligent sensor device 116, and / or server device 118.
The control component 104 may also comprise a component for acquiring detected data 204 which can obtain signals, and / or data continuously from the detection element 106, continuously, periodically, or on demand. In a non-limiting example, the detected data acquisition component 204 can continuously collect signals and / or data coming from the detection element 106. In another non-limiting example, the detected data acquisition component 204 can collect signals and / or data from the detection element 106 at regular or irregular intervals. In yet another non-limiting example, the sensed data acquisition component 204 may collect signals and / or data from the sensing element 106 in response to receipt of a control instruction as coming from the sensing component. communication 202 or the state detection component 206.
The control component 104 can include the state detection component 206 which can determine detected information as a function of signals and / or data gathered by the detected data acquisition component 204 which can indicate a state of a component being controlled by the intelligent sensor device 102. In addition, the state detection component 206 can determine detected information based on one or more self-checking components (not shown) that indicate a health condition (for example correct operation or a fault state) of the intelligent sensor device 102. For example, the state of health can indicate whether the intelligent sensor device 102 can reliably perform primary detection and / or standby functions, or the associated report of information detected with another intelligent sensor device 102, intelligent sensor device 116, and / or di server spositif 118.
The state detection component 206 can also include a primary detection function for generating detected information associated with a primary physical component that the intelligent sensor device 102 is primarily responsible for monitoring. The state detection component 206 can also include one or more emergency detection functions for generating detected information associated with one or more other physical components that the intelligent sensor device 102 has the responsibility of emergency control.
FIG. 3 illustrates a schematic diagram of a non-limiting example of aircraft 302 with networked intelligent sensor devices (for example the intelligent sensor device 102 and / or the intelligent sensor device 116) controlling the components of the aircraft 302. The aircraft may comprise one or more networks 114 which communicate in communication one or more server devices 118 and intelligent sensor devices 304, 306, 312, 314, 320, and 322. It will be appreciated that respective sensor devices smart sensor 304, 306, 312, 314, 320, and 322 can be a smart sensor device 102 or smart sensor device 116. Smart sensor devices 304, 306, 312, 314, 320, and 322 can work in pairs to provide primary and backup detection of physical components 308, 310, 316, 318, 324, and 326. For example, smart sensor device 304 may be a primary sensor for the physical component 308 and a backup sensor for the physical component 310, while the smart sensor device 306 can be a primary sensor for the physical component 310 and a backup sensor for the physical component 308. Similarly, the smart sensor device 312 can be a primary sensor for the physical component 316 and a backup sensor for the physical component 318, while the smart sensor device 314 can be a primary sensor for the physical component 318 and a backup sensor for the physical component 316 Similarly, the smart sensor device 320 can be a primary sensor for the physical component 324 and a backup sensor for the physical component 326, while the smart sensor device 322 can be a primary sensor for the physical component 326 and a backup sensor for the physical component 324. It will be appreciated that for the aircraft 302 a certain amount Tee of pairs of intelligent sensor devices allow primary and backup detection of a number of physical components of aircraft 302. While FIG. 3 shows pairs of intelligent sensor devices serving as backup for each other, it will be appreciated that aircraft 302 can include one or more series respectively comprising three or more intelligent sensor devices which serve for each other by also performing their primary detection functions on physical components of aircraft 302.
FIG. 4 illustrates a schematic diagram of a non-limiting example of a system 400 of networked intelligent sensor devices controlling components of an aircraft. The system 400 may include one or more networks 114 which communicate in communication one or more server devices 118 and intelligent sensor devices 402 and 404. It will be appreciated that the respective intelligent sensor devices 402 and 404 may be an intelligent sensor device 102 or an intelligent sensor device 116. By way of illustration only, in this example which does not limit the intelligent sensor devices 402 and 404 are both intelligent sensor devices 102. The intelligent sensor device 402 can be a primary sensor for the physical component 406 and a backup sensor for the physical component 408. Therefore, the intelligent sensor device 402 can include a primary detection function 402A to determine detection information associated with the physical component 406, and a detection function standby 402B to determine associated detection information e to the physical component 408. The intelligent sensor device 404 can include a primary detection function 404A to determine detection information associated with the physical component 408, and a backup detection function 404B to determine detection information associated with the physical component 406.
In one embodiment, the primary detection function 402A can be the same as the emergency detection function 404B, and / or the primary detection function 404A can be the same as the emergency detection function 402B. In another embodiment, the primary detection function 402A may be different from the emergency detection function 404B, and / or the primary detection function 404A may be different from the emergency detection function 402B. For example, the primary detection function 402A can be customized to take into account the characteristics of the intelligent sensor device 402, while the backup detection function 404B can be personalized to take into account the characteristics of the intelligent sensor device 404. Non-limiting examples of characteristics of the intelligent sensor device may include, model, type of detection element, detection capabilities, location, position, detection reliability, detection accuracy, history of maintenance, or any other suitable feature of an intelligent sensor device. For example, the primary detection function 402A can be personalized according to the location of the intelligent sensor device 402 relating to the physical component 406, and the emergency detection function 404B can be personalized according to the location of the communication device. intelligent sensor 404 relating to the physical component 406. For example, the respective detection functions can adjust detected information as a function of a distance from the detection element to the physical component. In another example, the respective detection functions can adjust detected information according to a direction in which the detection element faces the physical component. It will be appreciated that a detection function can adjust detected information as a function of any suitable characteristic of an associated smart sensor device.
The intelligent sensor device 402 can generate detected information linked to the physical component 406 using the primary detection function 402A and / or linked to the state of health of the intelligent sensor device 402, and the intelligent sensor device 404 can generate detected information linked to the physical component 408 using the primary detection function 404A and / or linked to the state of health of the intelligent sensor device 404. The intelligent sensor device 402 can also control the communications from the intelligent sensor device 404 to determine whether the intelligent sensor device 404 can reliably provide detected information, and the intelligent sensor device 404 can also monitor communications from the intelligent sensor device 402 to determine whether the intelligent sensor device 402 can reliably provide information detected.
If the intelligent sensor device 402 determines that the intelligent sensor device 404 is no longer communicating or that the intelligent sensor device 404 has communicated detected information indicating that the intelligent sensor device 404 cannot function reliably, then the sensor device intelligent 402 allows the standby detection function 402B to generate detected information linked to the physical component 408 in addition to the already authorized primary detection function 402A generating detected information linked to the physical component 406 and to communicate the respective detected information, for example to server device 118.
If the intelligent sensor device 404 determines that the intelligent sensor device 402 is no longer communicating or that the intelligent sensor device 402 has communicated detected information indicating that the intelligent sensor device 402 cannot function reliably, then the sensor device intelligent 404 allows the standby detection function 404B to generate detected information linked to the physical component 406 in addition to the already authorized primary detection function 404A generating detected information linked to the physical component 408 and to communicate the respective detected information, for example to server device 118.
FIG. 5 illustrates a schematic diagram of a non-limiting example of a system 500 of networked intelligent sensor devices controlling components of an aircraft. The system 500 may include one or more networks 114 which communicate in communication one or more server devices 118 and intelligent sensor devices 502 and 504. It will be appreciated that the respective intelligent sensor devices 502 and 504 may be an intelligent sensor device 102 or an intelligent sensor device 116. By way of illustration only, in this non-limiting example the intelligent sensor device 502 may be similar to the intelligent sensor device 102, and the intelligent sensor device 504 may be similar to the sensor device smart 116. As discussed above, the smart sensor device 116 has more, less, or different detection capabilities than the smart sensor device 102. For example, the smart sensor device 502 may be a sensor device vibration, while the smart sensor device 504 may be a device acoustic sensor. The smart sensor device 502 can be a primary sensor for the physical component 506 and a backup sensor for the physical component 508. Therefore, the smart sensor device 502 can include a primary detection function 502A to determine detection information associated with the physical component 506, and a backup detection function 502B to determine detection information associated with the physical component 508. The intelligent sensor device 504 can include a primary detection function 504A to determine detection information associated with the physical component 508, and an emergency detection function 504B for determining detection information associated with the physical component 506.
In one embodiment, the primary detection function 502A may be different from the backup detection function 504B, and / or the primary detection function 504A may be different from the backup detection function 502B. For example, the primary detection function 502A can be customized to take into account vibration detection, as well as other features of the intelligent sensor device 502, while the backup detection function 404B can be customized to take into account acoustic detection, as well as other features of the intelligent sensor device 504.
The intelligent sensor device 502 can generate detected information linked to the physical component 506 using the primary detection function 502A and / or linked to the state of health of the intelligent sensor device 502, and the intelligent sensor device 504 can generate detected information linked to the physical component 508 using the primary detection function 504A and / or linked to the state of health of the smart sensor device 504. The smart sensor device 502 can also control communications from the smart sensor device 504 to determine whether the intelligent sensor device 504 can reliably provide detected information, and the intelligent sensor device 504 can also monitor communications from the intelligent sensor device 502 to determine whether the intelligent sensor device 402 can reliably provide information detected.
If the intelligent sensor device 502 determines that the intelligent sensor device 504 is no longer communicating or that the intelligent sensor device 504 has communicated detected information indicating that the intelligent sensor device 504 cannot function reliably, then the sensor device intelligent 502 allows the backup detection function 502B to generate detected information linked to the physical component 508 in addition to the primary detection function 502A already authorized generating detected information linked to the physical component 506 and to communicate the respective detected information, for example to server device 118.
If the intelligent sensor device 504 determines that the intelligent sensor device 502 is no longer communicating or that the intelligent sensor device 502 has communicated detected information indicating that the intelligent sensor device 502 cannot function reliably, then the sensor device intelligent 504 allows the emergency detection function 504B to generate detected information linked to the physical component 506 in addition to the primary detection function 504A already authorized generating detected information linked to the physical component 508 and to communicate the respective detected information, for example to server device 118.
FIG. 6 illustrates a schematic diagram of a non-limiting example of a system 600 of networked intelligent sensor devices controlling components of an aircraft. The system 600 may include one or more networks 114 which communicate in communication one or more server devices 118 and smart sensor devices 602, 604, and 610. It will be appreciated that the respective smart sensor devices 602, 604, and 610 can be an intelligent sensor device 102 or an intelligent sensor device 116. The intelligent sensor device 502 can be a primary sensor for the physical component 606 and a backup sensor for physical components 608 and 612. Therefore, the sensor device intelligent 602 can include a primary detection function 602A to determine detection information associated with the physical component 606, a backup detection function 602B to determine detection information associated with the physical component 608, and a backup detection function 602C for determining detection information associated with the physical component 612. The intelligent sensor device 604 may include a primary detection function 604A to determine detection information associated with the physical component 608, the backup detection function 604B to determine detection information associated with the physical component 606 and a detection function of backup 604C for determining detection information associated with the physical component 612. The intelligent sensor device 610 can include a primary detection function 610A for determining detection information associated with the physical component 612, a backup detection function 610B for determining a detection information associated with the physical component 606 and a backup detection function 610C for determining detection information associated with the physical component 608.
The intelligent sensor device 602 can generate detected information linked to the physical component 606 using the primary detection function 602A and / or linked to the state of health of the intelligent sensor device 602. The intelligent sensor device 604 can generate a detected information related to the physical component 608 using the primary detection function 604A and / or related to the state of health of the intelligent sensor device 604. The intelligent sensor device 610 can generate detected information linked to the physical component 612 using the primary detection function 610A and / or linked to the state of health of the intelligent sensor device 610. The intelligent sensor device 602 can also monitor communications from the intelligent sensor device 604 to determine whether the intelligent sensor device 604 can reliably provide detected information, and can also control er communications from the smart sensor device 610 to determine if the smart sensor device 610 can reliably provide detected information. The smart sensor device 604 can also monitor communications from the smart sensor device 602 to determine whether the smart sensor device 602 can reliably provide detected information, and can also monitor communications from the smart sensor device 610 to determine whether the intelligent sensor device 610 can reliably provide detected information. The intelligent sensor device 610 can also monitor communications from the intelligent sensor device 602 to determine whether the intelligent sensor device 602 can reliably provide detected information, and can also monitor communications from the intelligent sensor device 604 to determine whether the intelligent sensor device 604 can reliably provide detected information.
If the smart sensor device 602 determines that the smart sensor device 604 is no longer communicating or that the smart sensor device 604 has communicated detected information indicating that the smart sensor device 604 cannot function reliably, then the sensor device intelligent 602 allows the emergency detection function 602B to generate detected information linked to the physical component 608 in addition to the primary detection function 602A already authorized (and optionally the emergency detection function 602C if the intelligent sensor device 610 not functioning correctly) generating detected information linked to the physical component 606 (and optionally to the physical component 612 if the intelligent sensor device 610 is not functioning correctly) and communicating the respective detected information, for example to the server device 118 In addition, if the intell sensor device igent 602 determines that the intelligent sensor device 610 is no longer communicating or that the intelligent sensor device 610 has communicated detected information indicating that the intelligent sensor device 610 cannot function reliably, then the intelligent sensor device 602 allows the emergency detection function 602C to generate detected information linked to the physical component 612 in addition to the primary detection function 602A already authorized (and optionally the emergency detection function 602B if the intelligent sensor device 604 does not operate correctly) generating detected information linked to the physical component 606 (and optionally to the physical component 608 if the intelligent sensor device 604 does not function correctly) and to communicate the respective detected information, for example to the server device 118.
If the intelligent sensor device 604 determines that the intelligent sensor device 602 is no longer communicating or that the intelligent sensor device 602 has communicated detected information indicating that the intelligent sensor device 602 cannot function reliably, then the sensor device intelligent 604 allows the emergency detection function 604B to generate detected information linked to the physical component 606 in addition to the primary detection function 604A already authorized (and optionally the emergency detection function 604C if the intelligent sensor device 610 not functioning correctly) generating detected information linked to the physical component 608 (and optionally to the physical component 612 if the intelligent sensor device 610 is not functioning correctly) and communicating the respective detected information, for example to the server device 118 In addition, if the intell sensor device igent 604 determines that the intelligent sensor device 610 is no longer communicating or that the intelligent sensor device 610 has communicated detected information indicating that the intelligent sensor device 610 cannot function reliably, then the intelligent sensor device 604 allows the emergency detection function 604C to generate detected information linked to the physical component 612 in addition to the primary detection function 604A already authorized (and optionally the emergency detection function 604B if the intelligent sensor device 602 does not operate correctly) generating detected information linked to the physical component 608 (and optionally to the physical component 606 if the intelligent sensor device 602 does not operate correctly) and to communicate the respective detected information, for example to the server device 118.
If the intelligent sensor device 610 determines that the intelligent sensor device 602 is no longer communicating or that the intelligent sensor device 602 has communicated detected information indicating that the intelligent sensor device 602 cannot function reliably, then the sensor device intelligent 610 allows the emergency detection function 610B to generate detected information linked to the physical component 606 in addition to the primary detection function 610A already authorized (and optionally the emergency detection function 610C if the intelligent sensor device 604 not functioning properly) generating detected information related to the physical component 612 (and optionally to the physical component 608 if the smart sensor device 604 is not functioning properly) and communicating the respective detected information, for example to the server device 118 Also, if the intell sensor device igent 610 determines that the intelligent sensor device 608 is no longer communicating or that the intelligent sensor device 608 has communicated detected information indicating that the intelligent sensor device 608 cannot function reliably, then the intelligent sensor device 610 allows the emergency detection function 610C to generate detected information linked to the physical component 608 in addition to the primary detection function 610A already authorized (and optionally the emergency detection function 610B if the intelligent sensor device 602 does not operate correctly) generating detected information linked to the physical component 612 (and optionally to the physical component 606 if the intelligent sensor device 602 does not operate correctly) and to communicate the respective detected information, for example to the server device 118.
While FIGs 1 and 2 show separate components in the smart sensor device 102, it will be appreciated that two or more components can be implemented in a common component. In addition, it will be appreciated that the design of the smart sensor device 102 or the smart sensor device 116 may include other component selections and / or component placements to facilitate the execution of the primary detection and backup functions. In addition, the aforementioned systems and / or devices have been described with reference to the interaction between several components. It will be appreciated that such systems and components may include those components or subcomponents specified herein, some of the components or subcomponents specified, and / or additional components. Sub-components can also be implemented as coupled components in order to communicate with other components rather than being included in parent components. Also again, one or more components and / or subcomponents can be combined into a single component allowing aggregate functionality. The components can also interact with one or more other components not specifically described here for the sake of brevity, but known to those skilled in the art.
In addition, some of the processes performed can be performed by specialized computers to perform defined tasks related to the primary detection and standby functions of the intelligent sensor devices 102 and / or the intelligent sensor devices 116. The devices, methods, systems computer processing and / or computer program products subjects can be used to solve new problems that arise with technological advances, computer networks, the Internet and others. The subject devices, methods, computer processing systems, and / or computer program products may provide technical improvements to systems for primary detection and backup functions of smart sensor devices 102 and / or smart sensor devices 116 by improving the processing efficiency among the processing components in these systems, reducing the processing time performed by the processing components, and improving the accuracy with which the processing systems perform primary detection and backup functions of the sensor devices smart 102 and / or smart sensor devices 116.
The embodiments of the devices described here can employ artificial intelligence (AI) to facilitate the automation of one or more functions described here. Components can use various AI-based diagrams to achieve various embodiments / examples described here. In order to provide or assist the many determinations (e.g., determine, assure, infer, calculate, predict, predict, estimate, derive, predict, detect) described here, the components described here can examine all or a subset data to which they are given access and can make it possible to reason about or determine the states of the system, the environment, etc. from a series of observations as captured via events and / or data. Determinations can be used to identify a specific context or action, and / or can generate a distribution of probabilities on states, for example. Determinations can be probabilistic - that is, calculating a probability distribution over states of interest based on a consideration of data and events. Determinations can also refer to techniques used to compose higher level events from a series of events and / or data.
Such determinations can result in the construction of new events or actions from a series of observed events and / or stored event data, whether or not the events are correlated in close temporal proximity, and if the events and the data comes from one or more sources of events and data. The components described here can employ various classifications (explicitly driven (for example, by training data) as well as implicitly trained (for example, by observing behavior, preferences, history information, reception extrinsic information, etc.)) diagrams and / or systems (for example, vector-supported machines, neural networks, expert systems, Bayesian network, fuzzy logic, data fusion engines, etc.) in connection with an automatic realization and / or a specific action in connection with the present invention. Thus, classification schemes and / or systems can be used to automatically learn and perform a number of functions, actions, and / or determination.
A classifier can map an input attribute vector, z = (zl, z2, z3, z4, zri), to a trust that the input belongs to a class, as by f (z) = ccw // a "this (c / asse). Such a classification can employ a probabilistic and / or statistically based analysis (for example, taking into account cost-benefit analysis) to determine that an action is automatically performed. A support vector machine (SVM) is an example of a classifier that can be used. The SVM works by finding a hyper-surface in the space of possible entries, where the hyper-surface tries to separate the criterion of triggering from non triggering of events. Intuitively, this makes the correct classification for the data test that is close, but not identical to the training data. Other directed and undirected model classification approaches include, for example, naive Bayesian classification, Bayesian networks, decision trees, neural networks, fuzzy logic models, and probabilistic classification models allowing different reasons for independence from being employed. The classification as used here also includes statistical regression which is used to develop priority models.
FIGS. 7 and 8 illustrate methodologies according to one or more embodiments of the present invention. While, for the sake of simplicity of explanation, the methodologies shown here are shown and described as a series of actions, it should be understood and appreciated that the present innovation is not limited by the order of actions, since certain actions can , according to them, take place in a different order and / or concurrently with other actions than what is shown and described here. For example, those skilled in the art will understand and appreciate that a methodology can alternatively be represented as a series of related states or events, as in a state diagram. In addition, all the actions illustrated do not need to implement an innovation methodology. Furthermore, an interaction diagram (s) can represent methodologies, or methods, according to the present invention when disparate entities play disparate parts of the methodologies. In addition, two or more of the exemplary methods described can be implemented in combination together, to accomplish one or more of the functions or advantages described herein.
FIG. 7 illustrates a flow diagram of a non-limiting example of a computer-implemented method 700 which facilitates primary detection and standby functions of intelligent sensor devices of an aircraft according to one or more embodiments described here. A repeated description of the identical elements used in other embodiments described herein is omitted for the sake of brevity.
In 702, the method 700 can include generating, by a first intelligent sensor device coupled to a processor, a first detected information item associated with a first physical component using a primary detection function (for example, via an acquisition component of detected data 204, a state detection component 206, a control component 104, an intelligent sensor device 102, and / or an intelligent sensor device 116). In 704, the method 700 may include controlling, by the first intelligent sensor device, a communication from a second intelligent sensor device performing a detection associated with a second physical component (for example, via a communication component 202, a component detection device 206, a control component 104, an intelligent sensor device 102, and / or an intelligent sensor device 116). In 706, the method 700 may include in response to the determination, by the first intelligent sensor device, that the second intelligent sensor device is not functioning properly depending on the communication: to enable a backup detection function in conjunction with the primary detection function, generating the first detected information associated with the first physical component using the primary function, and generating a second detected information associated with the second physical component using the standby function (for example, via a acquisition of detected data 204, a state detection component 206, a control component 104, an intelligent sensor device 102, and / or an intelligent sensor device 116).
FIG. 8 illustrates a flowchart of a non-limiting example of a computer-implemented method 800 which facilitates primary detection and standby functions of intelligent sensor devices of an aircraft according to one or more embodiments described here. A repeated description of the identical elements used in other embodiments described herein is omitted for the sake of brevity.
In 802, the method 800 can include executing, by a first intelligent sensor device coupled to a processor, a primary detection function associated with a first physical component (for example, via a component for acquiring detected data 204, a communication component 202, a state detection component 206, a control component 104, an intelligent sensor device 102, and / or an intelligent sensor device 116). In 804, the method 800 may include transmitting, by the first intelligent sensor device, a first pulse signal to a second intelligent sensor device associated with a second physical component (for example, via a component for acquiring detected data. 204, a communication component 202, a state detection component 206, a control component 104, an intelligent sensor device 102, and / or an intelligent sensor device 116). In 806, method 800 may include controlling, by the first smart sensor device, a second pulse signal sent from the second smart sensor device to the first smart sensor device (for example, via a data acquisition component detected 204, a communication component 202, a state detection component 206, a control component 104, an intelligent sensor device 102, and / or an intelligent sensor device 116). In 808, method 800 may include in response to the determination by the first intelligent sensor device that the second intelligent sensor device has not sent the second heartbeat signal for a threshold amount of time: to execute a standby detection function associated with the second physical component in conjunction with the primary detection function (for example, via a detected data acquisition component 204, a communication component 202, a state detection component 206, a component 104, an intelligent sensor device 102, and / or an intelligent sensor device 116). In 810, the method 800 can comprise in response to the transmission, by the first intelligent sensor, of at least one of a first detected information generated as a function of the primary detection function or of a second detected information generated as a function from the backup detection function to a server device (for example, via a component for acquiring detected data 204, a communication component 202, a state detection component 206, a control component 104, a device smart sensor 102, and / or smart sensor device 116).
For simplicity of explanation, the methodologies implemented by computer are represented and described as a series of actions. It must be understood and appreciated that the innovation of the invention is not limited by the illustrated actions and / or by the order of the actions, for example the actions can take place in various orders and / or concurrently, and with d other actions not presented and described here. In addition, all the actions illustrated are not necessary to implement the methodologies implemented by computer according to the present invention. In addition, those skilled in the art will understand and appreciate that the methodologies implemented by computer can alternatively be represented as a series of states linked to each other via a state diagram or events. In addition, it should also be appreciated that the methodologies implemented by computer described below and throughout this description can be stored on an article of manufacture to facilitate the transport and transfer of such methodologies implemented by computer on computers. The term article of manufacture, as used herein, is intended to mean a computer program accessible from any computer-readable storage device or medium.
In order to provide context for the various aspects of the present invention, FIG. 9 as well as the following discussion are intended to provide a general description of a suitable environment in which the various aspects of the present invention can be implemented. FIG. 9 illustrates a schematic diagram of a non-limiting example of an operating environment in which one or more embodiments described here can be facilitated. A repeated description of identical elements used in other embodiments described herein is omitted for the sake of brevity. With reference to FIG. 9, a suitable operating environment 900 for implementing various aspects of this description may also include a computer 912. The computer 912 may also include a processing unit 914, a system memory 916, and a system bus 918. The bus system 918 couples system components including, but not limited to, system memory 916 to processing unit 914. Processing unit 914 can be any of a variety of available processors. Dual microprocessors and other multiprocessor architectures can also be used as the processing unit 914. The system bus 918 can be any of various types of bus structure (s) including the memory bus or a memory controller. memory, a peripheral bus or an external bus, and / or a local bus using any variety of bus architectures available including, but not limited to, an industrial standard architecture (ISA), a micro-channel architecture (MSA) , Extended ISA (EISA), Smart Reader Electronics (IDE), VESA Local Bus (VLB), Peripheral Component Interconnect Bus (PCI), Card Bus, Universal Serial Bus (USB), advanced graphics port (AGP), Firewire interface (IEEE 1294), and small computer system interface (SCSI). The system memory 916 can also include a volatile memory 920 and non-volatile memory 922. The elementary input / output system (BIOS), containing the basic routines for transferring information between elements in the computer 912, as during the boot, is stored in the non-volatile memory 922. As an illustration, and not as a limitation, the non-volatile memory 922 can include a read only memory (ROM), a programmable ROM (PROM), an electrically programmable ROM (EPROM) , an electrically erasable and programmable ROM (EEPROM), a flash memory, or
memory viva (RAM) (through example, a RAM ferroelectric (FeRAM). The memory volatile 920 can also understand a memory viva (RAM) who acts like a cache memory
exterior. As an illustration and not a limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), SDRAM with double data access speed (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Direct Rambus RAM (DRRAM),
Dynamic Rambus direct RAM (DRDRAM), and dynamic Rambus RAM.
The 912 computer may also include removable / non-removable, volatile / non-volatile computer storage media. FIG. 9 illustrates, for example, 924 disk storage. 924 disk storage may also include, but is not limited to, devices such as a magnetic disk drive, a floppy disk drive, a tape drive, a drive Jaz, a Zip drive, an LS-100 drive, a flash memory card, or a memory stick. 924 disk storage can also include storage media separately or in combination with other storage media including, but not limited to, an optical disc drive such as a CD-ROM device, CD-ROM drive recordable CDs (CD-R Drive), rewritable CD player (CD-RW Drive) or digital versatile disc players (DVD-ROM). To facilitate the connection of the disk storage 924 to the system bus 918, a removable or non-removable interface is usually used, such as the interface 926. FIG. 9 also represents software which acts as an intermediary between users and the basic computer resources described in the suitable operating environment 901. Such software can also include, for example, an operating system 928. The operating system 928 operating system, which can be stored on 924 disk storage, acts to control and allocate resources from the 912 computer. 930 system applications take advantage of resource management by the 928 operating system through modules program 932 and program data 934, for example, stored either in system memory 916 or on disk storage 924. It will be appreciated that this description can be implemented with various operating systems or combinations of operating systems . A user enters commands or information into the computer 912 via an input device (s) 936. The input devices 936 include, but are not limited to, a input device. pointing like a mouse, trackball, stylus, touchpad, keyboard, microphone, joystick, joystick, satellite dish, scanner, TV tuner card, digital camera, video camera digital camera, web camera, and others. These input devices and others are connected to the processing unit 914 via the system bus 918 via an interface port (s) 938. The port (s) of 938 interface include, for example, a serial port, a parallel port, a game port, and a universal serial bus (USB). The 940 device (s) use some of the same types of ports as the 936 device (s). Thus, for example, a USB port can be used to provide input to the 912 computer, and for output information from computer 912 to an output device 940. An output adapter 942 is provided to illustrate that these are certain output devices 940 such as monitors, speakers and printers, among other output devices 940 , which require special adapters. The output adapters 942 include, by way of illustration and not limitation, video and sound cards which provide means of connection between the output device 940 and the system bus 918. It should be noted that other devices and / or systems of devices both provide input and output capabilities as a remote computer (s) 944.
Computer 912 can operate in a networked environment using logical connections to one or more remote computers, such as a remote computer (s) 944. The remote computer (s) 944 can be a computer, server, router, network PC, workstation, microprocessor-based application, peer device or other common network node and the like, and usually can also include many or all the elements described relative to the computer 912. For the sake of brevity, only a memory storage device 946 is illustrated with the remote computer (s) 944. The remote computer (s) ( s) 944 are logically connected to computer 912 via a network interface 948 and then physically connected via a communication connection 950. Network interface 948 includes communication networks such as wired and / or wireless as local area networks(LAN), wide area networks (WAN), cellular networks, etc. LAN technologies include Fiber Distributed Data Interfaces (FDDI), Copper Cable Distributed Data Interfaces (CDDI), Ethernet network, token rings and others. WAN technologies include, but are not limited to, point-to-point links, circuit switched networks such as digital integrated services networks (ISDN) and variations thereof, packet switched networks, and digital subscriber lines (LNA). The 950 communication connection (s) refer to the hardware / software used to connect the network interface 948 to the system bus 918. While the communication connection 950 is shown for clarity of illustration inside from computer 912, it can also be external to computer 912. The hardware / software for connection to the network interface 948 can also include, by way of example only, internal and external technologies such as modems including modems for standard quality telephones, cable modems and DSL modems, ISDN adapters, and Ethernet cards.
FIG. 10 is a schematic diagram of a sample of computer environment 1000 with which the present invention can interact. The IT environment sample 1000 includes one or more clients 1002. The client (s) 1002 can be hardware and / or software (for example, wires, processes, computing devices). The computer environment sample 1000 also includes one or more server (s) 1004. The server (s) 1004 can also be hardware and / or software (for example, wires, processes, computer devices) . The servers 1004 can house wires to carry out transformations by using one or more embodiments as described here, for example. A possible communication between a client 1002 and servers 1004 can be in the form of data packets adapted to be transmitted between two or more computer processes. The computer environment sample 1000 includes a communication framework 1006 which can be used to facilitate communications between the client (s) 1002 and the server (s) 1004. The client (s) ) 1002 are functionally connected to one or more client data store (s) 1008 which can be used to store local information about the client (s) 1002. Similarly, the server (s) 1004 are functionally connected to one or more server data store (s) 1010 which can be used to store local information on servers 1004.
The embodiments of the present invention may be a system, method, device and / or computer program product at any level of integration of possible technical details. The computer program product may include a computer readable storage medium (or media) having computer readable program instructions thereon to cause a processor to perform aspects of the present invention. The computer-readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer-readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device , or any suitable combination of the above. A non-exhaustive list of more specific examples of the computer-readable storage medium may also include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read only memory (ROM), a reprogrammable read only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc ROM (CDROM), a digital versatile disc (DVD), a memory key, a floppy disk, a device encoded mechanically like punched cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the above. A computer readable storage medium, as used herein, is not interpreted as being transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a guide wave or other transmission media (for example, light pulses passing through a fiber optic cable), or electrical signals transmitted by a cable.
The computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network, e.g., the Internet, a network local, wide area network and / or any other wireless network. The network may include copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or peripheral servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and transmits computer readable program instructions for storage in a computer readable storage medium in the computing / computing device. respective treatment. Computer readable program instructions for performing operations of various aspects of the present invention may be assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state setting data, configuration data for integrated circuits, or any other source code or object code written in any combination of one or more programming languages, including a programming language object oriented like Smalltalk, C ++, or others, and procedural programming languages, like C programming language or similar programming languages. Computer-readable program instructions can run entirely on the user's computer, partly on the user's computer, as a standalone software package, partly on the user's computer, and partly on a remote computer or entirely on the remote computer or server. In the last scenario, the remote computer can be connected to the user's computer by any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to a computer. outside (for example, over the Internet using an Internet service provider). In some embodiments, electronic circuits including, for example, programmable logic circuits, in situ programmable door networks (FPGA), or programmable logic networks (PLA) can execute computer readable program instructions using state information of computer readable program instructions for customizing electronic circuits to achieve aspects of the present invention.
Aspects of the present invention are described herein with reference to diagrammatic diagrams and / or diagrams of processes, devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of illustrations of diagrammatic flowcharts and / or diagrams, and combinations of blocks in illustrations of diagrammatic flowcharts and / or diagrams, can be implemented by computer readable program instructions. These computer-readable program instructions can be supplied to a processor of a general-purpose computer, a specialized computer, or other programmable data processing devices to produce a machine, such that the instructions, which execute via the computer processor or other programmable data processing devices, create means for implementing the functions / actions specified in the flowchart and / or in one of the schematic diagram blocks. These computer readable program instructions may also be stored in a computer readable storage medium which can direct a computer, a programmable data processing device, and / or other devices to operate in a particular manner, such that the computer readable storage medium having instructions stored therein includes an article of manufacture including instructions which implement aspects of the function / action specified in the flowchart and / or one of the schematic diagram blocks. Computer readable program instructions can also be loaded onto a computer, other programmable data processing devices, or other device to cause a series of functional actions to be performed on the computer, other programmable devices or other device to produce a computer-implemented process, such that instructions that run on the computer, other programmable devices, or another device perform the functions / actions specified in the flowchart and / or one of the schematic diagram blocks.
The flow diagram and schematic diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products in accordance with various embodiments of the present invention. From this point of view, each block in the flowchart or schematic diagrams can represent a module, a segment, or a part of the instructions, which includes one or more executable instructions to implement the logic function (s) (s) specified. In certain implementation variants, the functions noted in the blocks can take place in an order other than that noted in the figures. For example, two blocks shown in succession can, in fact, be executed substantially concurrently, or the blocks can sometimes be executed in reverse order, depending on the functionality involved. It should also be noted that each block of schematic diagrams and / or illustration of flowchart, and combinations of blocks in schematic diagrams and / or illustration of flowchart, can be implemented by systems based on dedicated hardware that perform the functions or specified actions or perform combinations of dedicated hardware and computer instructions.
While the present invention has been described above in the general context of computer executable instructions for a computer program product which runs on a computer and / or computers, those skilled in the art will understand that this description can also or can be implemented in combination with other program modules. Generally, program modules include routines, programs, components, data structures, etc. which perform particular tasks and / or implement particular types of abstract data. In addition, those skilled in the art will appreciate that the method of the invention implemented by computer can be practiced with other configurations of computer systems, including single processor or multiprocessor computer systems, minicomputing, mainframe computers, as well as computers, portable computing devices (eg, PDA, telephone), programmable or microprocessor-based industrial or personal electronics, and others. The illustrated aspects can also be put into practice in distributed computing environments where tasks are carried out by remote processing devices which are linked by a communications network. However, some, if not all, of the aspects of this description can be practiced on isolated computers. In a distributed computing environment, program modules can be located in both local and remote memory storage devices.
As used in this application, the terms “component,” “system,” “platform,” “interface,” and others, may refer to and / or may include a computer-related entity or a related entity to an operational machine with one or more specific functionalities. The entities described here can be either hardware, a combination of hardware and software, software, or running software. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable, a thread, a program, and / or a computer. As an illustration, both an application running on a server and the server can be a component. One or more components can reside in a process and / or an execution thread and a component can be located on a computer and / or distributed between two or more computers. In another example, respective components can run from various computer readable media having various data structures stored thereon. The components can communicate via local and / or remote processes as according to a signal comprising one or more data packets (for example, data coming from a component interacting with another component in a local system, a distributed system, and / or on a network such as the Internet with other systems via the signal). As another example, a component can be a device with specific functionality provided by mechanical parts actuated by electrical or electronic circuits, which is controlled by software or a firmware application executed by a processor. In such a case, the processor can be inside or outside the devices and can execute at least part of the software or firmware application. As yet another example, a component may be a device which provides specific functionality by electronic components without mechanical parts, in which the electronic components may include a processor or any other means for executing software or firmware which confers at least in part the functionality of electronic components. In one aspect, a component can emulate an electronic component via a virtual machine, for example, in a cloud computing system.
In addition, the term “or” is meant to mean an inclusive “or” rather than an exclusive “or”. That is, unless stated otherwise, or clearly from the context, "X uses A or B" is meant to mean any of the natural inclusive permutations. That is, if X uses A; X uses B; where X uses both A and B, then "X uses A or B" is satisfied in any of the preceding examples. In addition, items “a” and “an” as used in this description and the accompanying drawings should generally be interpreted to mean “one or more” unless it is otherwise specified or clear from the context that it concerns a singular form. As used herein, the terms "example" and / or "exemplary" are used as the signifier serving as an example, or illustration. To avoid doubts, the present invention described here is not limited by such examples. In addition, any aspect or design described here as an "example" and / or "exemplary" need not be interpreted as preferred or advantageous over other aspects or designs, nor does it mean dismissing structures and equivalent exemplary techniques known to those skilled in the art.
In addition, the term "series" as used here excludes the empty series; for example, the series without elements in it, unless expressly indicated otherwise. Thus, a “series” in the present description comprises one or more elements or entities. By way of illustration, a series of devices includes one or more devices; a series of data resources includes one or more of the data resources, unless expressly stated otherwise, etc. Likewise, the term "group" as used here refers to a collection of one or more entities; for example, a node group refers to one or more nodes.
As used in this specification, the term "processor" can refer to substantially any computer processing unit or device including, but not limited to, single core processors; simple processors with multitasking software capability; multi-core processors; multi-core processors with multitasking software capability; multi-core processors with multitasking hardware technology; parallel platforms; and parallel platforms with distributed shared memory. In addition, a processor can refer to an integrated circuit, a specific application integrated circuit (ASIC), a digital signal processor (DSP), a user-programmable door network (FPGA), a programmable logic control ( PLC), a complex programmable logic device (CPLD), a discrete gate or logic transistor, discrete hardware components, or any combination thereof designed to perform the functions described here. In addition, processors can exploit nanoscale architectures such as, but not limited to, transistors, switches and molecular and quantum dot gates, to optimize the use of space or improve performance user equipment. A processor can also be implemented as a combination of computer processing units. In this description, terms like “store”, “storage”, “data store”, data storage, ”“ database ”, and substantially any other component of information storage relating to the operation and functionality of a component is used to refer to “memory components,” entities implemented in a “memory,” or components comprising a memory. It will be appreciated that the memory and / or memory components described herein can be either volatile memory or non-volatile memory, or can include both volatile memory and non-volatile memory. By way of illustration, and not limitation, non-volatile memory may include a read only memory (ROM), a programmable ROM (PROM), an electrically programmable ROM (EPROM), an electrically erasable and programmable ROM (EEPROM), a flash memory, or random access memory (RAM) (for example, ferroelectric RAM (FeRAM). Volatile memory 920 can also include random access memory (RAM), which acts as an external cache memory. limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), Dual Data Access Speed SDRAM (DDR SDRAM), improved SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), direct Rambus RAM (DRRAM), dynamic Rambus direct RAM (DRDRAM), and dynamic Rambus RAM. In addition, the described memory components of systems or processes implemented computer work here are supposed to in close, but not be limited to, these and any other suitable types of memory.
What has been described above includes simple examples of computer-implemented systems and methods. It is, of course, not possible to describe any conceivable combination of components or processes implemented by computer to describe this description, but those skilled in the art can recognize that many other combinations and permutations of this description are possible. In addition, to the extent that the terms “includes”, “a”, “has”, “and the like are used in the detailed description, claims, appendices and drawings, such terms are intended to be inclusive in a similar manner the term “comprising” when “comprising” is interpreted as a transitional word in a claim. The descriptions of the various embodiments have been presented by way of illustration, but are not intended to be exhaustive or limited to the embodiments described.
List of components intelligent sensor device (102) control component (104) detection element (106) processor (108) memory (110) intelligent sensor device (116) server device (118) communication component (202) component acquisition of detected data (204) state detection component (206)
928 Operating system 934 Data 914 Processing unit 916 System memory 924 Disk storage 942 Output adapter (s) 938 Interface port (s) 950 Communication connections 940 Exit device (s) 936 Input device (s) 948 Network interface 944 Remote computer (s) 946 Memory storage
1008 Customer data store (s) 1006 Communication structure 1004 Server (s) 1010 Server data store (s)

权利要求:
Claims (15)
[1" id="c-fr-0001]
An intelligent sensor device (102), comprising: a detection element (106); a processor (108); and a memory (110) coupled so as to communicate with the processor, the memory having stored therein computer-executable instructions, comprising:
a control component (104) configured for:
generating a first detected item of information associated with a first physical component of an aircraft as a function of the execution of a primary detection function and of one or more signals coming from the detection element;
controlling the communication from a second intelligent sensor device carrying out a detection associated with a second physical aircraft component; and in response to a first determination that the second smart sensor device (116) is not functioning properly based on the communication:
execute a backup detection function in conjunction with the primary detection function, generate the first detected information associated with the first physical component of the aircraft using the primary detection function and one or more other signals coming from the detection element ( 106), and generate a second detected item of information associated with the second physical component of the aircraft using the standby detection function and the one or more additional signals coming from the detection element.
[2" id="c-fr-0002]
The device of claim 1, wherein the control component (104) is further configured to transmit at least one of the first detected information or second detected information to a server device (118).
[3" id="c-fr-0003]
The device of claim 1, wherein the control component (104) is further configured to receive a pulse signal from the second smart sensor device (116), and make the first determination that the second smart sensor device does not function properly based on a second determination that the heartbeat signal has not been received for a threshold amount of time.
[4" id="c-fr-0004]
The device of claim 1, wherein the control component (104) is further configured to determine that the second smart sensor device (116) is not functioning properly based on a health status message received from the second smart sensor device.
[5" id="c-fr-0005]
5. Device according to claim 1, wherein the backup function is different from the primary function.
[6" id="c-fr-0006]
6. Device according to claim 5, in which the primary detection function is personalized as a function of a characteristic of the intelligent sensor device relative to the first physical component of the aircraft.
[7" id="c-fr-0007]
7. Device according to claim 5, in which the emergency detection function is personalized as a function of a characteristic of the intelligent sensor device relative to the second physical component of the aircraft.
[8" id="c-fr-0008]
8. Device according to claim 7, in which the characteristic is a location of the intelligent sensor device relative to the second physical component of the aircraft.
[9" id="c-fr-0009]
9. Process, comprising:
generating, by a first intelligent sensor device (102), a first detected information item associated with a first physical component of the aircraft as a function of the execution of a primary detection function;
controlling, by the first intelligent sensor device, a communication from a second intelligent sensor device (116) performing a detection associated with a second physical aircraft component; and in response to the determination by the first smart sensor device that the second smart sensor device is not functioning properly based on the communication:
execute a backup detection function in conjunction with the primary detection function, generate the first detected information associated with the first aircraft physical component using the primary detection function, and generate the second detected information associated with the second physical component of aircraft using the emergency detection function.
[10" id="c-fr-0010]
The method of claim 9, further comprising transmitting, by the first smart sensor device (102), at least one of the first detected information or the second detected information to a server device.
[11" id="c-fr-0011]
The method of claim 9, further comprising receiving a pulse signal from the second smart sensor device (116), and determining that the second smart sensor device is not functioning properly based on the determination that the signal heartbeat has not been received for a threshold amount of time.
[12" id="c-fr-0012]
The method of claim 9, further comprising determining that the second smart sensor device (116) is not functioning properly based on a health status message received from the second sensor device
5 intelligent (116).
[13" id="c-fr-0013]
13. The method of claim 9, wherein the backup function is different from the primary function.
[14" id="c-fr-0014]
14. The method of claim 13, wherein the primary detection function is personalized according to a
10 characteristic of the intelligent sensor device relative to the first physical component of the aircraft.
[15" id="c-fr-0015]
15. The method of claim 13, wherein the emergency detection function is personalized according to a characteristic of the intelligent sensor device relative to the
15 second aircraft physical component.

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同族专利:

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公开号 | 公开日

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CA3006095C|2020-09-22|

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GB201709065D0|2017-07-19|

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GB2563242A|2018-12-12|

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GB2563242B|2020-01-29|

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CA3006095A1|2018-12-07|

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US20180354647A1|2018-12-13|

引用文献:

---

公开号 | 申请日 | 公开日 | 申请人 | 专利标题

---

---

US4654846A|1983-12-20|1987-03-31|Rca Corporation|Spacecraft autonomous redundancy control|

---

US5615119A|1995-06-07|1997-03-25|Aurora Flight Sciences Corporation|Fault tolerant automatic control system utilizing analytic redundancy|

---

US6556939B1|2000-11-22|2003-04-29|Smartsignal Corporation|Inferential signal generator for instrumented equipment and processes|

---

US7797062B2|2001-08-10|2010-09-14|Rockwell Automation Technologies, Inc.|System and method for dynamic multi-objective optimization of machine selection, integration and utilization|

---

US8720258B2|2012-09-28|2014-05-13|United Technologies Corporation|Model based engine inlet condition estimation|

---

US20160371957A1|2015-06-22|2016-12-22|Mc10, Inc.|Method and system for structural health monitoring|

---

US10106263B2|2016-02-29|2018-10-23|Honeywell International Inc.|Wireless aircraft cabin pressure control system utilizing smart pressure sensors|US10900990B2|2019-03-21|2021-01-26|Rosemount Aerospace Inc.|Acoustic air data sensing systems with skin friction sensors|

---

US11016114B1|2020-02-11|2021-05-25|Rosemount Aerospace Inc.|Determining aircraft flying conditions based on acoustic signals caused by airflow|

法律状态:
2019-05-21| PLFP| Fee payment|Year of fee payment: 2 |

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2020-05-20| PLFP| Fee payment|Year of fee payment: 3 |

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2021-05-19| PLFP| Fee payment|Year of fee payment: 4 |

优先权:

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申请号 | 申请日 | 专利标题

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GB1709065.5|2017-06-07|

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GB1709065.5A|GB2563242B|2017-06-07|2017-06-07|A method and system for enabling component monitoring redundancy in a digital network of intelligent sensing devices|

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