Lighting control

专利摘要:
According to an example embodiment, a method for controlling operation of a lighting system is provided, wherein the lighting system comprises a plurality of luminaires for illuminating a space and a plurality of occupancy sensors arranged in said space, wherein each luminaire is arranged to follow a lighting control rule that defines switching on the light output therefrom as a response to receiving an indication of occupancy detected by an occupancy sensor having the respective luminaire associated therewith. The method comprises: obtaining a respective occupancy pattern for each of the plurality of occupancy sensors, wherein each occupancy pattern represents a time series of occupancy state indications captured using a respective occupancy sensor in said space during an observation period; identifying, based on the obtained occupancy patterns, one or more anomalous occupancy patterns that represent occupancy state transitions different from occupancy state transitions represented by other ones of the occupancy patterns; and disabling operation of said lighting control rule for those ones of the plurality of luminaires that are associated with an occupancy sensor having captured one of said one or more identified anomalous occupancy patterns.
公开号:FI20205399A1
申请号:FI20205399
申请日:2020-04-20
公开日:2021-10-21
发明作者:Abdulla Ibrahim；Omar Nasir
申请人:Helvar Oy Ab；
IPC主号:

专利说明:

Lighting control
TECHNICAL FIELD The example and non-limiting embodiments of the present invention relate to controlling operation of a lighting system.
BACKGROUND In many scenarios, a luminaire is provided as part of a lighting network or lighting system that serves to illuminate a space or a plurality of spaces that are adjacent or otherwise linked to each other. In such an arrangement, the luminaire may be at least in part controlled by sensors provided in the luminaire and/or by sensors that are otherwise coupled to the lighting system, thereby providing at least partially autonomous lighting control. An example of a sensor type that is typically applied for such autonomous lighting control is an occupancy sensor, which may comprise for example a passive infrared (PIR) sensor. In a typical arrangement, a control entity arranged for controlling light output from a luminaire receives a sensor signal from an occupancy sensor, determines an occupancy state (one of occupancy or non-occupancy) based on the sensor signal, and switches/keeps the lights on (at a normal light output level) in response to occupancy and switches/keeps the lights off (or at another low light output level) in response to non-occupancy. 8 S 20 When correctly installed and configured, lighting control relying on occupancy x sensor(s) ensures sufficient illumination whenever occupancy in the space Oo served by the luminaire is detected while contributing to good energy efficiency ° via keeping the lights off or at a low light output level) when no occupancy is a detected. However, in some installations an occupancy sensor may turn out 3 25 overly sensitive in indicating occupancy, thereby resulting in switching or S keeping the lights on even though no persons are present in the space and, N consequently, leading to unnecessary energy consumption. As an example of such a scenario, the occupancy sensor may be installed in a location of the space where it is prone to react to small movement of curtains or (other)
hanging objects in the space that may be caused by an air flow in the space or by structural vibrations caused into the space due to external sources. Another example of such a scenario involves installation of the occupancy sensor in a location of the space where it is able to react to movement that occurs outside the space (observed e.g. through an open door or window).
SUMMARY It is an object of the present invention to provide a technique that facilitates automatically avoiding overly sensitive occupancy sensor operation in order to enable lower energy consumption without compromising the lighting performance and user comfort. According to an example embodiment, a method for controlling operation of a lighting system is provided, wherein the lighting system comprises a plurality of luminaires for illuminating a space and a plurality of occupancy sensors arranged in said space, wherein each luminaire is arranged to follow a lighting control rule that defines switching on the light output therefrom as a response to receiving an indication of occupancy detected by an occupancy sensor having the respective luminaire associated therewith, the method comprising: obtaining a respective occupancy pattern for each of the plurality of occupancy sensors, wherein each occupancy pattern represents a time series of occupancy state indications captured using a respective occupancy sensor in O said space during an observation period; identifying, based on the obtained R occupancy patterns, one or more anomalous occupancy patterns that 3 represent occupancy state transitions different from occupancy state S transitions represented by other ones of the occupancy patterns; and disabling T 25 operation of said lighting control rule for those ones of the plurality of luminaires > that are associated with an occupancy sensor having captured one of said one E or more identified anomalous occupancy patterns. & S According to another example embodiment, an apparatus for controlling operation of a lighting system is provided, wherein the lighting system comprises a plurality of luminaires for illuminating a space and a plurality of occupancy sensors arranged in said space, wherein each luminaire is arranged to follow a lighting control rule that defines switching on the light output therefrom as a response to receiving an indication of occupancy detected by an occupancy sensor having the respective luminaire associated therewith, the apparatus comprising analysis means configured to: obtain a respective occupancy pattern for each of the plurality of occupancy sensors, wherein each occupancy pattern represents a time series of occupancy states captured using a respective occupancy sensor during an observation period; identify, based on the obtained occupancy patterns, one or more anomalous occupancy patterns that represent occupancy state transitions different from occupancy state transitions represented by other ones of the occupancy patterns; and disable operation of said lighting control rule for those ones of the plurality of luminaires that are associated with an occupancy sensor having captured one of said one or more identified anomalous occupancy patterns.
According to another example embodiment, a computer program for lighting control is provided, the computer program comprising computer readable program code configured to cause performing at least the method according to the example embodiment described in the foregoing when said program code is executed on a computing apparatus.
The computer program according to the above-described example embodiment may be embodied on a volatile or a non-volatile computer- S readable record medium, for example as a computer program product 3 comprising at least one computer readable non-transitory medium having the = program code stored thereon, which, when executed by a computing N 25 apparatus, causes the computing apparatuses at least to perform the method E according to the example embodiment described in the foregoing. 3 N NI 2 The exemplifying embodiments of the invention presented in this patent S application are not to be interpreted to pose limitations to the applicability of N the appended claims.
The verb "to comprise” and its derivatives are used in this patent application as an open limitation that does not exclude the existence of also unrecited features. The features described hereinafter are mutually freely combinable unless explicitly stated otherwise. Some features of the invention are set forth in the appended claims. Aspects of the invention, however, both as to its construction and its method of operation, together with additional objects and advantages thereof, will be best understood from the following description of some example embodiments when read in connection with the accompanying drawings.
BRIEF DESCRIPTION OF FIGURES The embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings, where Figure 1 illustrates a block diagram of some logical components of a lighting system according to an example; Figure 2 illustrates a block diagram of some components of a lighting unit according to an example; Figure 3 illustrates a method according to an example; Figure 4A illustrates respective time segments of exemplifying occupancy patterns; o Figure 4B illustrates respective time segments of exemplifying occupancy S patterns; 3 S 20 Figure 5 illustrates a block diagram of some logical components of a lighting N system according to an example;
I Za o o Figure 6 illustrates a block diagram of some components of a luminaire E according to an example; and & Q Figure 7 illustrates a block diagram of some elements of an apparatus according to an example.DESCRIPTION OF SOME EMBODIMENTS
Figure 1 illustrates a block diagram of some logical components of a lighting system 100 according to an example, including a plurality of lighting units 101- 1, 101-2, ..., 101-4, a lighting control gateway 102 and a lighting control server
103. The lighting units 101-1 to 101-4 represent a plurality of (i.e. two or more) 5 lighting units 101, where an individual lighting unit may be referred to via a reference number 101-k. The lighting units 101-k are communicatively coupled to the lighting control gateway 102 and to each other. The communicative coupling may be provided via wired or wireless communication medium, e.g. via a wireless communication network and/or via respective wireless links (as illustrated in the non-limiting example of Figure 1). The lighting units 101-k and the lighting control gateway 102 may be considered as nodes of a lighting network associated with the lighting system 100. The lighting control gateway 102 is communicatively coupled to the lighting control server 103, e.g. via a communication network such as the Internet. The lighting network is hence coupled to the lighting control server 103 via the lighting control gateway 102. The lighting system 100 may be arranged for illuminating respective portions or areas of a space or arranged for illuminating respective one or more spaces or one more portions of a space that are adjacent or otherwise close to each other. As a few non-limiting examples, a space illuminated by the lighting system 100 may comprise an indoor space of a building, such as a room (e.g. an habitable room, an office room, a meeting room, a classroom, an o auditorium, etc.), an open space (an open office space, a lobby, a cafeteria, a O retail store, etc.) or an intermediate space (such as a corridor, a stairway, etc.). 3 Figure 2 illustrates a block diagram of some logical components of a lighting N 25 unit 101-k according to an example. The lighting unit 101-k comprises a E luminaire 120-k and a sensor unit 140-k that is coupled to the luminaire 120-k, 2 e.g. via a respective wired connection. The luminaire 120-k comprises a O lighting control device 110-k and at least one light source 121-k. The lighting S control device 110-k comprises a lighting control means (e.g. a lighting control — portion) for controlling the light output from the at least one light source 121-k, an adaptation means (e.g. an adaptation portion) for adjusting operation of the lighting control means and a communication means (e.g. a communication portion) for wired or wireless communication with other devices, e.g. with respective lighting control devices 110 of other luminaires 120 and/or with the lighting control gateway 102 (i.e. with other nodes of the lighting network). The lighting control device 110-k is arranged to control light output of the luminaire 120-k based at least in part on information received from the sensor unit 140- k and/or on information received from other luminaires 120 via the communication means.3 In a non-limiting example, the at least one light source 121-k comprises one or more light emitting diodes (LEDs) and the lighting control device 110-k comprises or is provided as a LED driver device, whereas in another non- limiting example the at least one light source 121-k comprises one or more fluorescent lamps and the lighting control device 110-k comprises or is provided as an electronic ballast.
The sensor unit 140-k comprises at least an occupancy sensor 141-k for monitoring an occupancy state (e.g. one of occupancy or non-occupancy) in the space the luminaire 120-k serves to illuminate. Hence, the lighting system 100 comprises a plurality of occupancy sensors 141 and the luminaire 120-k is associated with the occupancy sensor 141-k and, vice versa, the occupancy sensor 141-k is associated with the luminaire 120-k. As a non-limiting example, the occupancy sensor may comprise a motion sensor such as passive infrared S (PIR) sensor, whereas in other examples of the occupancy sensor may 3 comprise a microwave radar, a (digital) camera, a thermographic camera, a microphone, a lidar, etc. The sensor unit 140-k may comprise one or more N 25 — further sensors, such as a light sensor 142-k for observing ambient light level E in the space the luminaire 120-k serves to illuminate, where the light sensor 3 may comprise a photodetector such as a photodiode. The sensor unit 140-k O may be provided as part of the luminaire 120-k (e.g. arranged in the same S housing with the luminaire 120-k) or it may be provided as an entity that separate from (the housing of) the luminaire 120-k, e.g. in a dedicated housing.
The occupancy sensor 141-k provides an occupancy sensor signal, which may be employed by the control means in the lighting control device 110-k for adjusting the light output of the at least one light source 121-k in dependence of the observed occupancy state.
In case the sensor unit 140-k comprises further sensors, e.g. the light sensor 142-k, a respective sensor signal is provided therefrom to the control means in the lighting control device 110-k to enable controlling one or more aspects of the light output of the at least one light source 121-k in dependence of information conveyed in the respective sensor signal.
The occupancy sensor signal received from the occupancy sensor 141-k at the lighting control device 110-k may be referred to as a local occupancy sensor signal, whereas other sensor signals received at the lighting control device 110-k from respective further sensors possibly included in the sensor unit 140-k may be referred to as respective local sensor signals.
The luminaire 120-k or an element thereof may have a luminaire identifier (ID) oradevice ID assigned thereto, e.g. an address, a serial number, a name, etc. assigned to the luminaire 120-k, to the lighting control device 110-k, to the communication means of the lighting control device 110-k, to the sensor unit 140-k, to the occupancy sensor 141-k, etc.
The device ID may be stored, for example, in a memory provided in the lighting control device 110-k or in another component of the luminaire 120-k.
The device ID assigned to the luminaire 120-k may be applied in communication with other nodes of the o lighting network, as described in the following. & + The luminaire 120-k may be assigned to a luminaire group with one or more other luminaires 120 of the lighting system 100. Luminaires assigned to the N 25 same luminaire group are, typically but not necessarily, installed in locations E that are relatively close to each other and they hence serve to illuminate the 3 same space or respective (adjacent) portions of the space.
Luminaires O assigned to the same luminaire group may be arranged to have at least some S characteristics of their operation in common and their arrangement into the same luminaire group may enable e.g. the lighting control gateway 102 and/or the lighting control server 103 to address and/or control the luminaires of the same group via a single control action or configuration action.
A luminaire group may be identified by a luminaire group ID assigned thereto. The luminaire group ID may be stored, for example, in a memory in the lighting control device 110-k or in another component of the luminaire 120-k. The luminaire 120-k may also a have respective device IDs of to the (other) luminaires that are assigned in the same luminaire group with the luminaire 120-k stored in the memory therein, arranged e.g. as a luminaire group table. The luminaire group ID assigned to the luminaire 120-k may be applied in communication with other nodes of the lighting network, as described in the following. The information about the luminaire group to which the luminaire 120-k belongs to (e.g. the luminaire group ID and/or the respective device IDs of the other luminaires of the luminaire group) may be set or defined e.g. upon installing, configuring or reconfiguring the luminaire 120-k or this information may be received, e.g. from the lighting control gateway 102 or from the lighting control server 103, in the course of operation of the lighting system 100. The luminaire 120-k may have one or more neighboring luminaires that may be jointly referred to as a neighborhood of the luminaire 120-k. The luminaires belonging to the neighborhood of the luminaire 120-k are installed in locations that are physically close to the luminaire 120-k and/or whose light output is visible at (e.g. the light sensor 142-k possibly included in the sensor unit 140- S k of) the luminaire 120-k. The luminaires belonging to the neighborhood of the 3 luminaire 120-k may be identified by their respective device IDs. In this regard, a memory provided in the lighting control device 110-k orin another component N 25 — of the luminaire 120-k may be applied to store the respective device IDs of the E: luminaires that belong to the neighborhood of the luminaire 120-k, arranged 3 e.g. as a neighborhood table. The information about the neighboring O luminaires of the luminaire 120-k belongs to (e.g. the respective device IDs of S the neighboring luminaires) may be set or defined e.g. upon installing, configuring or reconfiguring the luminaire 120-k or this information may be learned in the course of operation of the lighting system 100 via usage of the light sensor 142-k available for the luminaire 120-k in view of action indications received from other luminaires of the lighting system 100 (note that the aspect of transmitting/receiving status indications is described via detailed examples in the following).
The lighting control device 110-k, e.g. the lighting control means therein, may be preprogrammed (or otherwise provided) with a lighting control logic that defines the manner of controlling the light output from the luminaire 120-k at least in part in dependence of the local occupancy sensor signal received at the lighting control device 110-k from the occupancy sensor 141-k. The preprogrammed lighting control logic may define one or more pairs of a predefined triggering condition and a lighting control action to be carried out as a response to an occurrence of the predefined triggering condition. Each such pair may be referred to as a respective lighting control rule and hence the lighting control logic may comprise one or more lighting control rules. A lighting control rule may, optionally, have one or more lighting control parameters associated therewith. As non-limiting examples concerning lighting control rules, a lighting control rule may define a triggering condition that directly or indirectly pertains to the local occupancy sensor signal. The light output control provided by the lighting control device 110-k may substantially follow from the lighting control means therein implementing one or more lighting control rules of the lighting control logic defined for the lighting control device 110-k.
o However, for brevity and clarity of the description, in the following lighting S control actions arising from implementation of the lighting control logic are x predominantly described as operations carried out by the lighting control S 25 device 110-k.
E: Non-limiting examples of lighting control rules comprise a lighting control rule 3 that defines switching on the light output from the luminaire 120-k at a O respective target light intensity I; 4, or otherwise adjusting the light output from S the luminaire 120-k from a lower light intensity to the target light intensity I, x as a response to a change in occupancy state from non-occupancy to occupancy, a lighting control rule that defines adjusting the light output from the luminaire 120-k to a respective stand-by light intensity 1,+rx as a response to a change of occupancy state from occupancy to non-occupancy followed by a switch-off delay period Tor; without a change of occupancy state from non- occupancy to occupancy, and/or a lighting control rule that defines adjusting the light output from the luminaire 120-k to a respective intermediate light intensity Igimx Where (lorrk < laim,k < Itgt,k) AS a response to a change of occupancy state from occupancy to non-occupancy followed by a dim-down delay period Ty rr x Where (Taimk < Togr,k) Without a change of occupancy state from non-occupancy to occupancy.
The target light intensity lg... the intermediate light intensity I;,,, and the stand-by light intensity I, as well as the switch-off delay period Ty ss x, the dim-down delay period Tym x described above serve as non-limiting examples of lighting control parameters that may be defined for the lighting control rules of the lighting control logic. The lighting control parameters associated with at least some of the lighting control rules of the preprogrammed lighting control logic may be initially set to respective default values. As described in the foregoing, these lighting control parameters may be initially set to respective default values that make the luminaire 120-k readily applicable in a wide variety of different operating environments and operating conditions. Such setting of the lighting control parameters may be carried out, for example, upon manufacturing the luminaire 120-k and/or the lighting control device 110-k of S the luminaire 120-k. The lighting control logic, including the lighting control 3 parameters, may be provided e.g. as program code stored in a memory in the = lighting control device 110-k that will be executed by a processor in the lighting ° 25 control device 110-k in the course of its operation.
S In the course of its operation, the lighting control device 110-k (e.g. the 3 adaptation means) may be arranged to capture or derive occupancy state S indications based on the local occupancy sensor signal received from the N occupancy sensor 141-k and store the occupancy state indications in a memory in the lighting control device 110-k. The occupancy state indications may be captured or derived and stored e.g. at predefined time intervals, each time a change in occupancy state (from non-occupancy to occupancy or vice versa) is observed and/or each time the local occupancy sensor signal indicates occupancy. The occupancy state indications stored in the memory may be referred to as a history of occupancy state indications.
In case the sensor unit 140-k comprises further sensors, the lighting control device 110-k may be arranged to capture or derive respective sensor indications based on information carried in the sensor signals received from the respective sensors and to store also this information in the memory provided in the lighting control device 110-k or elsewhere in the luminaire 120- — k. This may involve, for example, storing light level indications derived based on the local light sensor signal received from the light sensor 142-k e.g. at predefined time intervals and/or each time the observed light level has changed (since the previous stored light level indication) by more than a predefined threshold amount. The light level indications stored in the memory may be referred to as a history of light level indications, whereas all sensor indications stored in the memory at the lighting control device 110-k may be referred to as history data.
The history information stored and kept in the memory of the lighting control device 110-k may cover a predefined time period and the indications included in the history data may be stored together with respective timing information that indicates the capturing time of the respective piece of stored data. The S timing information may comprise, for example, a respective timestamp that 3 indicates the time with respect to a predefined reference time.
<Q S As described in the foregoing, the lighting control device 110-k comprises the T 25 communication means to enable wired or wireless communication between the > control device 110-k and other devices, e.g. between the lighting control device E 110-k and the other nodes of the lighting network. As a non-limiting example, S the communication means in the lighting control device 110-k may comprise a N wireless transceiver that is capable of communicating with wireless transceivers in respective lighting control devices 110 of other luminaires 120 and with a wireless transceiver in the lighting control gateway 101 using a wireless communication technique or protocol. The wireless communication may be provided by using a suitable short-range wireless communication technique known in the art that enables communication over ranges from a few meters up to a few hundred meters. Examples of suitable wireless communication techniques include Bluetooth, Bluetooth Low-Energy (LE), ZigBee, WLAN/Wi-Fi according to an IEEE 802.11 family of standards, etc. Further examples include infrared communications and other non-radio-based short-range communication technigues. The choice of the communication technigue and network topology for a specific implementation of the lighting arrangement 100 may depend e.g. on the reguired communication range and/or reguirements with respect to energy- efficiency of the communication means. As a concrete non-limiting example, the wireless communication may rely on a wireless mesh network model, for example on a mesh network according to the Bluetooth or Bluetooth LE Mesh networking protocol known in the art. The lighting control device 110-k may apply the communication means to transmit status indication messages to the other nodes of the lighting network. A status indication message may comprise a header part including information defined and/or reguired by the applied communication protocol and a payload part comprising one or more status indications that are descriptive of current (or recent) operating characteristic of the luminaire 120-k and/or the lighting S control device 110-k transmitting the status indication message. Conversely, 3 the lighting control device 110-k receives status indication messages (and hence status indications) from other lighting control devices of the lighting N 25 system 100. A status indication transmitted from the lighting control device E: 110-k may comprise, for example, one of the following:
O E - an action indication that identifies a lighting control action taken by the S lighting control device 110-k, e.g. switching on the light output from the N luminaire 120-k (e.g. at the target light intensity 1:g:x), an action indication adjusting the light output from the luminaire 120-k to the intermediate light intensity Igimx, Or adjusting the light output from the luminaire 120-k to the stand-by light intensity I, ; - a sensor indication that conveys the current (or the most recent) sensor indication derived on basis of a sensor signal received from a respective sensor of the sensor unit 140-k at the lighting control device 110-k, e.g. the current (or the most recent) occupancy state indication derived on basis of the local occupancy sensor signal at the lighting control device 110-k.
A status indication message may comprise timing information that indicates the capturing time(s) of the status indication(s) included in the status indication message, e.g. one or more timestamps described in the foregoing included in the payload part of the status indication message.
A status indication message may further comprise the device ID assigned to the lighting control device 110- k (or to the luminaire 120-k) that has transmitted the status indication message, in other words an identification of the luminaire 120-k to which the status indication{s) conveyed in the status indication message pertain.
The device ID may be provided, for example, as part of the header part of the status indication message or it may be included in the payload part of the status indication message.
Additionally, if the luminaire 120-k is assigned to a luminaire group, the payload part of a status indication message transmitted from the luminaire 120-k may comprise the luminaire group ID of the luminaire group to which the O luminaire 120-k is assigned. & 3 The lighting control device 110-k (e.g. the adaptation means) may be arranged o to, in the course of its operation, make at least some of the sensor indications ° 25 captured or derived based on the respective sensor signals received from the i. sensor unit 140-k available to the lighting control gateway 102. According to 3 an example, this is accomplished by the lighting control gateway 102 receiving O the sensor indications transmitted from the luminaire 120-k and storing the O occupancy state indications in a memory provided in the lighting control gateway 102 together with the device ID, the timing information and the (possible) luminaire group ID of the luminaire 120-k as history data pertaining to the luminaire 120-k and to the occupancy sensor 141-k. In context of the lighting system 100 the device ID of the luminaire 120-k may also serve as a sensor ID of the sensor unit 140-k and/or the occupancy sensor 141-k.
In another example, transmission of the sensor indications from the luminaire 120-k to the lighting control gateway 102 may involve using the communication means in the lighting control device 110-k to transmit the sensor indications in one or more sensor report messages to the lighting control gateway 102 over the wired or wireless communication network or communication link. Each sensor report message comprises, in addition to information defined by the applied communication protocol, at least one sensor indication together with the timing information that defines capturing time of the at least one sensor indication, possibly together with an indication of the underlying sensor type. A sensor report message may comprise multiple sensor indications that may be captured or derived based on sensor signals of different types.
In particular, the lighting control device 110-k may be arranged to transmit sensor report messages that convey occupancy state indications captured or derived based on the local occupancy sensor signal received from the occupancy sensor 141-k to the lighting control gateway 102. As an example, the lighting control device 110-k may be arranged to transmit an occupancy state indication to the lighting control gateway 102 each time a new occupancy state indication becomes available at the lighting control device 110-k. In S another example, the lighting control device 110-k may be arranged to transmit 3 one or more occupancy state indications according to predefined schedule, e.g. at predefined time intervals. A sensor report message conveying the at N 25 least one occupancy state indication may further comprise the device ID of the E luminaire 120-k, the timing information and the luminaire group ID assigned to 3 the to the luminaire 120-k (if available) that has transmitted the sensor report O message, in other words an identification of the luminaire 120-k to which the S occupancy state indication(s) pertain.
Referring back to the elements of the lighting system 100 (and the lighting network associated therewith), the lighting system 100 may comprise further components or elements not shown in the example of Figure 1. As an example in this regard, the lighting system 100 may comprise one or more further sensor units that are communicatively coupled to the lighting control gateway 102, where the communicative coupling may be provided via wired or wireless communication medium, e.g. via a wireless communication network and/or via respective wireless links.
A further sensor unit may be similar to the sensor unit 140-k described in the foregoing, apart from being provided as a stand- alone sensor unit that is separate from the plurality of luminaires 120 and, consequently, the further sensor unit comprises a communication means (e.g. a communication portion) for wired or wireless communication with other devices to enable communication with the lighting control gateway 102. Each of the one or more further sensor units may have a respective sensor ID or a device ID assigned thereto, e.g. an address, a serial number, a name, etc. assigned to the respective further sensor unit 140-k, to the occupancy sensor in the respective sensor unit, etc.
The device ID may be stored, for example, in a memory provided in the respective further sensor unit and it may be applied in communication with other nodes of the lighting network.
Each of the one or more further sensor units, if included in the lighting system 100, may be arranged to derive respective occupancy state indications (and possibly other sensor indications) and transmit the derived occupancy state indications (and the possible other sensor indications) to the lighting control gateway 102 in a o manner similar to that described in the foregoing for the lighting control devices O 100, mutatis mutandis. st The lighting control gateway 102 may comprise a computer device provided N 25 — with a communication means that is able to communicate with the respective E communication means in the lighting control devices 110 of the luminaires 120. 3 The lighting control gateway 102 is to be construed as a logical entity that may O be provided as an entity (physically) separate from the luminaires 120 of the S lighting network or it may be provided as part of one of the luminaires 120 or luminaire units 101 of the lighting network.
The lighting control gateway 102 may be arranged to receive status indication messages and/or respective sensor report messages from a plurality of lighting control devices 110 (and hence from the plurality of luminaires 120) and from the one or more further sensor units (if present in the lighting system 100). The lighting control gateway 102 may be arranged to store the occupancy state indications received therein in a memory provided in the lighting control gateway 102 together with the device ID and the (possible) luminaire group ID of the respective luminaire 120. Such collection of data originating from a plurality of luminaires 120 may be referred to as aggregate history data and it comprises respective time series of occupancy state indications from the plurality of occupancy sensors 141. A time series of occupancy state indications may be also referred to as an occupancy pattern.
The lighting control gateway 102 may be further arranged to provide the occupancy state indications stored in the aggregate history data to the lighting control server 103 for storage and analysis therein. The provision of the aggregate history data from the lighting control gateway 102 to the lighting control server 103 may involve, for example, the lighting control gateway 102 transmitting occupancy state indications included in the aggregate history data in one or more aggregate sensor report messages, the lighting control gateway 102 uploading the aggregate history data to the lighting control server 103 or the lighting control server 103 downloading the aggregate history data from the lighting control gateway 102. S The lighting control server 103 comprises a logical entity that may be provided 3 by one or more computer devices that may be arranged to provide a cloud = computing service. The lighting control server 103 comprises an analysis N 25 means (e.g. an analysis portion) for processing the occupancy state E indications received as the aggregate history data from the lighting control S gateway 102. In this regard, the analysis means may be arranged to store the 0 occupancy state indications received from the lighting control gateway 102 into S a memory in the lighting control server 103 and to carry out an analysis of the received occupancy state indications in order to determine whether transitions between occupancy states represented by the respective occupancy state indications received for the plurality of luminaires 120 exhibit similar behavior. Along the lines described in the foregoing, the analysis carried out by the analysis means pertains to the lighting system 100 that comprises the plurality of luminaires 120 provided for illuminating a space and the plurality of occupancy sensors 141 arranged in said space, wherein each luminaire 120- k is arranged to follow a lighting control rule that defines switching on the light output therefrom as a response to receiving an indication of occupancy detected in said space by the occupancy sensor 141-k associated with the — respective luminaire 120-k, e.g. switching on the light output from the luminaire 120-k as a response to the occupancy sensor signal from the occupancy sensor 141-k indicating a change of occupancy state from non-occupancy to occupancy. In the following, for brevity and clarity of description, such lighting control rule is referred to as a first switch-on rule. The analysis may be followed by the analysis means causing operation of the first switch-on rule to be disabled for one or more of the plurality of luminaires 120 in view of the outcome of the analysis. In the regard, the analysis means be arranged to carry out a method 200 that is illustrated by the flowchart depicted in Figure 3. The analysis pertains to a predefined observation period and hence the method 200 may be carried out, for example, after the aggregate history data covering the observation period has been received from the lighting control gateway o 102. The method 200 may be carried out in the course of operation of the O lighting system 100 and it may be carried out repeatedly according to a x predefined schedule (e.g. at predefined time intervals) or according to o 25 environmental conditions observed in the space the lighting system 100 serves T to illuminate.
E S The method 200 proceeds from obtaining a respective occupancy pattern for O each of the plurality of occupancy sensors 141 under consideration, wherein S each occupancy pattern represents a time series of occupancy state indications captured or derived based on the sensor signal provided by the respective one of the plurality of occupancy sensors 141 during an observation period, as indicated in block 202. Hence, the occupancy pattern may represent the occupancy state as a function of time.
The method 200 further comprises identifying, based on the obtained occupancy patterns, one or more anomalous occupancy patterns that represent occupancy state transitions different from occupancy state transitions represented by other ones of the occupancy patterns, as indicated in block 204, and disabling operation of the first switch-on rule for those ones of the plurality of luminaires 120 that are associated with an occupancy sensor having provided one of the one or more identified anomalous occupancy patterns, as indicated in block 206. The respective operations described with references to blocks 202 to 206 pertaining to the method 200 may be varied or complemented in a number of ways, for example as described in the foregoing and/or in the following with references to elements of the lighting system 100. The method 200 enables, for example, identification of possible anomalously performing one of the plurality of occupancy sensors 141 and, consequently, enables energy conservation via selectively disabling at least some lighting control actions arising from operation of such anomalously performing occupancy sensors.
Anomalous performance of a given occupancy sensor may be caused, for example, by malfunction, misconfiguration or non-optimal location of the respective occupancy sensor within the space.
Examples of the latter involve installation in a location where the given occupancy sensor is o able to observe movement that occurs outside the space e.g. through an open O door or window or installation in a location where structural vibrations caused x into the space due to external sources may result in small movement of the S 25 occupancy sensor.
Moreover, in some scenarios the given occupancy sensor I may be prone to react to small movement in the space that is not caused by - presence of persons, such as movement of curtains or other hanging objects E e.g. due an air flow in the space. & O Referring back to operations pertaining to block 202, according to an example, the aspect of obtaining the respective occupancy patterns for the plurality of occupancy sensors 141 may comprise receiving the aggregate history data pertaining to the observation period and deriving the respective occupancy pattern for each of the plurality of the occupancy sensors 141 based on the occupancy state indications received therefor in the aggregate history data., Using the occupancy sensor 141-k as an example of any one of the plurality of occupancy sensors 141, the aggregate history data received at the lighting control server 103 may comprise the following pieces of information: - occupancy state indications for the occupancy sensor 140-k, - timing information pertaining to the occupancy state indications received for the occupancy sensor 141-k, - sensor ID of the occupancy sensor 141-k (e.g. the device ID of the luminaire 120-k associated with occupancy sensor 141-k), - luminaire group ID of the luminaire 120-k; In an example, the analysis means may directly apply the received occupancy state indications to form the respective occupancy pattern for each of the plurality of occupancy sensors 141, thereby substantially reconstructing the time series of occupancy state indications captured or derived at a given one of the luminaires 120 and using the reconstructed time series as the occupancy pattern for the given one of the luminaires 120. Such a straightforward approach is applicable, for example, when the respective lighting control devices 110 in the luminaires 120 operate to capture/derive and store the o occupancy state indications therein at predefined time intervals (e.g. a S predefined ‘sampling rate’) and each of the luminaires 120 apply the same or 3 substantially similar time interval for this purpose.
N I In another example, the analysis means may convert or process the received E 25 occupancy state indications into the respective occupancy pattern for each of 3 the plurality of occupancy sensors 141, thereby using the occupancy state (D indications received from a given one of the luminaires 120 as basis for S deriving a reconstructed time series occupancy state indications that serves as the occupancy pattern for the given one of the occupancy sensors 141. As an example in this regard, the analysis means may convert a time series of occupancy state indications that is reconstructed using the occupancy state indications received for the given one of the occupancy sensors 141 into a corresponding occupancy pattern for the given one of the occupancy sensors 141 by ‘re-sampling’ the time series, e.g. by ‘interpolating’ or ‘decimating’ the time series.
Hence, also in this example the occupancy patterns involve a respective time series of occupancy state indications, even though it may be a time series different from the underlying time series that is reconstructed using the received occupancy state indications.
The aspect of obtaining the respective occupancy patterns for the plurality of occupancy sensors 141 may involve time aligning the occupancy patterns derived based on the occupancy state indications received in the aggregate history data.
Alternatively, the time alignment may be carried out for the time series of occupancy state indications received in the aggregate history data before applying (possible) conversion into the respective occupancy patterns.
Regardless of the exact manner of time alignment process, the resulting respective time aligned occupancy patterns for the plurality of occupancy sensors 141 each represent the (current) observation period.
As an example, the observation period may correspond to a certain time of the day and/or a day of the week, e.g. working hours of a weekday or a desired period during nighttime, depending on the desired expected overall occupancy level during the observation period.
According to an example, the observation S period comprises a time period during which the space the lighting system 100 3 serves to illuminate is (expected to be) mostly occupied, thereby enabling an analysis of a scenario where all occupancy patterns are expected to exhibit a N 25 relatively high number of occupancy state indications that indicate occupancy.
E In another example, the observation period comprises a time period during 3 which the space the lighting system 100 serves to illuminate is (expected to O be) mostly unoccupied, thereby enabling an analysis of a scenario where all S occupancy patterns are expected to exhibit a relatively low number of occupancy state indications that indicate occupancy.
Referring back to operations pertaining to block 204, according to an example, possible occupancy state transition types derivable from the occupancy state indications of the occupancy patterns under consideration include the following: - continued non-occupancy, i.e. an occupancy state indication that indicates non-occupancy followed by another occupancy state indication that indicates non-occupancy, which may be also referred to as an untrigger; - a change from non-occupancy to occupancy, i.e. an occupancy state indication that indicates non-occupancy followed by an occupancy state indication that indicates occupancy, which may be also referred to as a trigger; - continued occupancy, i.e. an occupancy state indication that indicates occupancy followed by another occupancy state indication that indicates occupancy, which may be also referred to as a retrigger; - a change from occupancy to non-occupancy, i.e. an occupancy state indication that indicates occupancy followed by an occupancy state indication that indicates non-occupancy, which may be also referred to as a detrigger.
The identification of one or more anomalous occupancy patterns that represent occupancy state transitions different from those represented by the other S occupancy patterns under consideration may consider one or more of the 3 above-described possible occupancy state transition types. The occupancy state transition types of considered in the identification may be referred to as N 25 occupancy state transition types of interest. The choice of occupancy state E: transition types of interest may depend, for example, on the number of 3 occupancy sensors 141 (or the number of lighting units 101) included in the O lighting system 100, on respective types of occupancy sensors 141 applied in S the respective sensor units 140 of the lighting units 101 of the lighting system 100, the expected overall occupancy level during the applied observation period (e.g. mostly occupied or mostly unoccupied), etc.
In this regard, since the plurality of luminaires 120 is provided for illumination of the same space, the respective occupancy patterns obtained therefor are based on observing occupancy in the same space and, consequently, they may be expected to exhibit some similarity with respect to timing of the occupancy state transitions of the same type and/or with respect to the number and/or frequency of the occupancy state transitions of the same type indicated therein.
Hence, the identification of the one or more occupancy patterns that represent occupancy state transitions different from those represented by the other occupancy patterns under consideration aims at identifying those ones (typically a small number) of the occupancy sensors 141 that result in changes of occupancy state indications that are different from those provided by the other ones (typically a high number) of the occupancy sensors 141 and that can be therefore considered to yield occupancy state indications that are not fully reliable, e.g. due to malfunction, misconfiguration or non-optimal location of the respective light sensor.
Such identified occupancy patterns may be referred to as anomalous occupancy patterns and the underlying respective occupancy sensors 141 may be referred to as anomalously performing occupancy sensors.
Since the plurality of occupancy sensors 141 is provided for illumination of the same space, in an example, they may be able to see the same motion e.g. due to a person entering, residing in or exiting the space substantially o simultaneously and hence the respective occupancy patterns obtained S therefor may be expected to exhibit the occupancy state transitions of the x same type substantially at the same time and, conseguently, (a minority of) S 25 occupancy patterns that do not follow the timings of the occupancy state I transitions indicated in the majority of the occupancy patterns under + consideration may be considered as anomalous ones.
Figure 4A provides an 2 example in this regard via showing a respective time segment of three S occupancy patterns, where occupancy state transition of the same type occur N 30 substantially simultaneously.
Hence, according to an example, the identification according to block 204 may aim at identifying one or more anomalous occupancy patterns via evaluating differences in timing of the occupancy state transitions across the occupancy patterns under consideration in view of occupancy state transition types of interest, in other words identifying one or more anomalous occupancy patterns based on differences in respective timings of occurrences of the occupancy state transition types of interest in the occupancy patterns under consideration in comparison to each other.
In particular, the analysis with respect to simultaneousness of occupancy state transitions (or lack thereof) aims at identifying differences in respective timings of occurrences of occupancy state transition types of interest across the occupancy patterns under consideration.
In this regard, the identification may comprise determining respective timings of occurrences of the occupancy state transition types of interest in the occupancy patterns under consideration and identifying one or more occupancy patterns where the determined respective timings are different from the respective timings determined for the other ones of the occupancy patterns under consideration.
Such evaluation may comprise, for example, classifying the occupancy patterns under consideration into one or more classes based on similarities (or differences) in respective timings of occurrences of occupancy state transitions of the same type across the occupancy patterns under consideration by using O a clustering technigue known in the art.
The classification may result in a first O class that represents those occupancy patterns that are (substantially) similar x with respect to timing of occurrences of occupancy state transitions of the o 25 same type and zero or more second classes that each represent one or more I occupancy patterns that are different from those assigned into the first class - with respect to timing of occurrences of occupancy state transitions of the E same type.
Conseguently, the occupancy patterns assigned into the first class S and into the second classes may be designated, respectively, as normal ones N 30 and as anomalous ones in dependence of the respective amounts of occupancy patterns assigned into the first and second classes.
As an example in this regard, occupancy patterns assigned into the first class may be considered as normal occupancy patterns provided that at least a predefined threshold amount of occupancy patterns are classified therein, whereas occupancy patterns assigned into any (second) class that has less than said predefined threshold amount of occupancy patterns classified therein may be considered as anomalous occupancy patterns. Herein, the predefined threshold amount of occupancy patterns serving as the threshold for telling apart the anomalous occupancy patterns from the normal ones may be defined, depending on the usage scenario, as an absolute amount or as a relative amount (e.g. as a percentage of all occupancy patterns under consideration). As a non-limiting example, the threshold amount of occupancy patterns may be defined as a percentage in a range from 80 % to 95 %, e.g. 90 %.
In a variation of the above-described simultaneous-of-timing based example, the plurality of occupancy sensors 141 may be able to see the same motion due to a person entering, residing in or exiting the space at a small delay with respect to each other and hence the respective occupancy patterns obtained therefor may be expected to exhibit a respective time difference between the corresponding occupancy state transitions of the same type occurring across the occupancy patterns under consideration. Hence, respective occupancy state transitions pertaining to a certain motion event in the space may be assumed to occur within a predefined time window across occupancy patterns o and, consequently, (a minority of) occupancy patterns that do not follow such S delay behavior indicated in the majority of the occupancy patterns under x consideration may be considered as anomalous ones. In such a scenario, the o 25 identification of the one or more anomalous occupancy patterns may follow the I above example, mutatis mutandis, apart from assuming a time difference (or - an absolute value thereof) between the corresponding occurrences of the E occupancy state transition of the same type across the occupancy patterns S under consideration to be smaller than a predefined time difference threshold N 30 and considering the occupancy patterns where this assumption does not hold as anomalous ones.
The above examples that pertain to observing timing of occurrences of the occupancy state transition types of interest may be particularly applicable for scenarios where the space the plurality of occupancy sensors 141 serve to monitor is relatively small and/or the typical motion throughout the space exhibits a similar profile (e.g. passing through, staying in one place). On the other hand, in a relatively large space (such as an open office, a cafeteria, a warehouse, a garage, ...) and/or in a space where typical motion within the space may vary over time and/or in different portions of the space, the occupancy sensors therein may not be able to see the same motion (e.g. due to a person entering, residing in or exiting the space) and, consequently, the occupancy patterns obtained from occupancy sensors arranged in such a space may not exhibit substantially simultaneous occurrences of the occupancy state transitions of a certain type across the occupancy patterns while still representing motion having a similar profile throughout the space. In such a scenario observing simultaneousness of the occupancy state transitions of a certain type across the occupancy patterns (or lack thereof) may not fully reflect the similarity (or lack thereof) between the occupancy patterns obtained from the occupancy sensors in such a space. Figure 4B provides an example in this regard via showing a respective time segment of three occupancy patterns, where occupancy state transitions across occupancy patterns follow a similar profile even though the occupancy transitions of the same type do not occur substantially simultaneously.
A S Hence, according to a further example, the identification according to block x 204 may aim at identifying one or more anomalous occupancy patterns via S 25 comparison of respective freguencies at which the state transition types of I interest occur in the occupancy patterns under consideration. In this regard, - the identification may be based on differences in respective frequencies of E occurrences of occupancy state transition types of interest in the occupancy S patterns under consideration in comparison to each other or on differences in N 30 respective frequencies of occurrences of occupancy state transition types of interest in the occupancy patterns under comparison in comparison to respective predefined reference frequencies. In a first example, such an analysis may comprise comparison of the respective frequencies at which the state transition types of interest occur in the occupancy patterns under consideration to respective predefined reference frequencies defined for each occupancy state transition type of interest, whereas in a second example such an analysis may comprise identifying one or more occupancy patterns where the state transition types of interest occur at respective frequencies that are different from corresponding frequencies at which they occur in other occupancy patterns under consideration.
In the first example of frequency-based identification, the identification may comprise determining, based on the occupancy patterns under consideration, a respective frequency distribution for each occupancy state transition type of interest in each occupancy pattern under consideration, comparing the frequency distributions determined for the occupancy patterns under consideration to corresponding reference frequency distributions defined for the respective occupancy state transition type, where the reference frequency distributions represent normal occupancy patterns in the space, and identifying the occupancy patterns whose frequency distributions match or substantially match the corresponding reference frequency distributions as normal occupancy patterns while identifying the occupancy patterns whose frequency distributions do not substantially match the corresponding reference frequency distributions as anomalous occupancy patterns.
S In the first example, the reference freguency distributions for the occupancy 3 state transitions of interest may be predefined ones, determined on basis of = experimental data that represents a plurality of normal occupancy patterns and N 25 a plurality of anomalous occupancy patterns.
The reference freguency E distributions may comprise a dedicated reference freguency distribution for 2 each occupancy state transition type of interest.
A classification model known O in the art, for example a Bayesian classifier, may be applied to derive the S respective reference frequency distribution for each occupancy state transition type of interest such that they represent normal occupancy patterns for the space.
In the second example of frequency-based identification, the identification may comprise determining, based on the occupancy patterns under consideration, a respective frequency distribution for each occupancy state transition type of interest in each occupancy pattern under consideration and identifying one or more occupancy patterns for which the determined respective frequency distributions are different from corresponding frequency distributions determined for the other ones of the occupancy patterns under consideration.
The classification of the occupancy patterns into one or more classes and the subsequent assignment of the occupancy patterns under consideration as normal ones or as anomalous ones may be carried out as described above for timing-of-occurrence-based identification, with the exception that the classification considers the respective frequency distributions derived for the occupancy state transition types of interest for the occupancy patterns under consideration instead of basing the classification on timings of occurrences.
The above description concerning respective operations pertaining to blocks 202 and 204 (at least implicitly) consider the aspects of obtaining the respective occupancy patterns of the plurality of occupancy sensors 141 and identification of the one or more anomalous occupancy patterns among those obtained for the plurality of occupancy sensors 141. In case the aggregate history data received at the lighting control server 103 further comprises respective occupancy state indication from the one or more further sensor o units, the aspect of obtaining the occupancy patterns (block 202) may further S comprise deriving the respective occupancy pattern for each of the one or x more further sensor units. and the aspect of identifying the anomalous o 25 occupancy patterns (block 204) may additionally consider the respective I occupancy pattens derived for the one or more further sensor units. a S Referring back to operations pertaining to block 206, as an example, the O aspect of disabling operation of the first switch-on rule for those ones of the S plurality of luminaires 120 that are associated with an occupancy sensor 141- — k having captured the one or more identified anomalous occupancy patterns may comprise the analysis means in the lighting control server 103 transmitting, via the lighting control gateway 102, a deactivation command to the luminaires concerned. In other words, assuming that the occupancy pattern obtained for the occupancy sensor 141-k associated with the luminaire 120-k is found anomalous in the analysis, the analysis means in the lighting control server 103 may transmit a deactivation command to the lighting control gateway 102, which transmits the deactivation command further to the luminaire 120-k (e.g. to the lighting control device 110-k therein) via the lighting control gateway 102. The deactivation command serves as an instruction for the luminaire 120-k to at least temporarily disable operation of the first switch- on rule therein, e.g. to disable the first switch-on rule or to disable operation of the occupancy sensor 141-k therein. The deactivation command may serve as an instruction for the luminaire 120- k to disable operation of the first switch-on rule therein until further notice (e.g. until receiving a reactivation command from the lighting control server 103) or the deactivation command may specify a duration of the deactivation period, which serves as an instruction for the luminaire 120-k to disable operation of the first switch-on rule therein for the deactivation period of specified duration and to re-enable operation of the first switch-on rule therein after the deactivation period is over. In case the deactivation command does not specify the duration of the deactivation period, the analysis means in the lighting control server 103 may be arranged to subsequently transmit a reactivation O command to the luminaire 120-k, which reactivation command serves as an O instruction for the luminaire 120-k to terminate the currently ongoing x deactivation period and to re-enable operation of the first switch-on rule S 25 therein.
E: According to an example, the analysis means in the lighting control server 103 2 may be arranged to transmit the deactivation command to the luminaire 120-k O (substantially) immediately after identifying the luminaire 120-k as one S associated with the occupancy sensor 141-k having provided an anomalous occupancy pattern. In another example, the analysis means in the lighting control server 103 may be arranged to transmit the deactivation command at a later time, e.g. to implement a corresponding deactivation period for the luminaire 120-k at a desired time of the day and/or a day of the week. The analysis means in the lighting control server 103 may be arranged to repeatedly send deactivation commands (each possibly followed by a respective reactivation command) to the luminaire 120-k in order to implement repeated deactivation periods according to predefined schedule. The analysis means in the lighting control server 103 may be arranged, for example, to transmit one or more deactivation commands (and possible reactivation commands) to implement repeatedly occurring deactivation periods for the luminaire 120-k during time periods when the expected overall occupancy level in the space is low, e.g. outside office hours (e.g. from 6pm to 8am), during nighttime (e.g. from 11pm to 6am), during weekends, etc.
In a further example pertaining to timing of the analysis means in the lighting control server 103 transmitting the deactivation command(s), the analysis means in the lighting control server 103 may be arranged to observe subsequent occupancy state indications received for the plurality of occupancy sensors 141 and to compute, based on the occupancy state indications, an occupancy level indication that is descriptive of the current overall occupancy in the space. The occupancy level indication may be computed, for example, as the overall number of triggers and retriggers per time unit obtained for the plurality of occupancy sensors 141, e.g. as the overall number of triggers and o retriggers obtained for the plurality of occupancy sensors 141 over a reference S period (e.g. a predefined time period in a range from a few minutes to an hour, x e.g. 30 minutes). Moreover, the analysis means in the lighting control server S 25 103 may be arranged to transmit a deactivation command in response to the I occupancy level falling below a first occupancy threshold and transmit a - reactivation command in response to the occupancy level rising above a 3 second occupancy threshold. Herein, the second occupancy threshold is S larger than or equal to the first occupancy threshold. Consequently, the N 30 deactivation period may be triggered when the overall occupancy decreases below the first occupancy threshold and it may be terminated when the overall occupancy increases over the second occupancy threshold.
In a further example pertaining to timing of the analysis means in the lighting control server 103 transmitting the deactivation command(s), the analysis means in the lighting control server 103 may be arranged to observe subsequent occupancy state indications received for one or more of the plurality of occupancy sensors 141 that are designated as entrance sensors.
As the designation suggests, the one or more entrance sensors are ones located at or close to the entrances to (or exits from) the space.
The designation of the one or more occupancy sensors as the entrance sensors may be a predefined one, set upon installing, configuring or reconfiguring the lighting system 100. Alternatively, the analysis means in the lighting control server 103 may be arranged to identify the entrance sensors based on the respective occupancy patterns obtained therefor: the entrance sensors are ones for which the respective occupancy pattern is the first to indicate a trigger upon a person entering the space and for which the respective occupancy pattern is the last to indicate a detrigger upon a person exiting the space.
Consequently, the occupancy-level-based transmission of deactivation and reactivation commands described in the foregoing may rely on the respective occupancy state indications obtained for the one or more entrance sensors while ignoring the respective occupancy state indications obtained for the other ones of the plurality of occupancy sensors 141. In an example, if one or more of the plurality of occupancy sensors 141 are O designated as entrance sensors, the analysis means in the lighting control O server 103 may be arranged to refrain from transmitting a deactivation x command to any of the plurality of luminaires 120 that associated with one of S 25 the entrance sensors, even if one of the entrance sensors were found to I produce an anomalous occupancy pattern. a 3 As described in the foregoing, according to an example, the lighting control O device 110-k (e.g. the adaptation means therein) may be arranged to adjust or S reprogram, upon reception of the deactivation command, the preprogrammed lighting control therein by at least temporarily disabling the first switch-on rule, whereas in another example the lighting control device 110-k may respond to reception of the deactivation command by at least temporarily disabling the light sensor 141-k.
Along the lines described in the foregoing, the deactivation command may result in the lighting control device 110-k disabling the first switch-on rule or the occupancy sensor 141-k until further notice (e.g. until receiving a reactivation command from the lighting control server 103) or the deactivation command may result in the lighting control device 110-k disabling the first switch-on rule or the occupancy sensor 141-k therein for a deactivation period that has a duration specified in the deactivation command and re- enabling the first switch-on rule or the occupancy sensor 141-k therein after the deactivation period is over.
In an example, the lighting control device 110-k may be arranged to refrain from switching on the light output from the luminaire 120-k during a deactivation period.
In another example, the lighting control device 110-k may be arranged to complement the lighting control logic therein by one or more temporary lighting control rules that pertain to switching on and/or adjusting the light output from the luminaire 120-k, which one or more temporary lighting control rules may be applied only during the deactivation period.
Hence, the lighting control device 110-k may be arranged to enable the one or more temporary lighting control rules when the deactivation period begins and to disable the one or more temporary lighting control rules when the deactivation period is over.
In a further example, the deactivation command may further O specify the manner of handling the light output from the luminaire 120-k during O the deactivation period and the lighting control device 110-k may be arranged x to operate the luminaire 120-k accordingly.
In this regard, the deactivation S 25 command may specify, for example, one of refraining from switching on the I light output from the luminaire 120-k during a deactivation period or using the > one or more temporary lighting control rules during the deactivation period.
Oo O In an example, the one or more temporary lighting control rules at the lighting S control device 110-k may define that the luminaire 120-k is to follow at least — some lighting control actions taken by one or more reference luminaires based on status indications received therefrom, where the one or more reference luminaires may comprise, for example, luminaires that are in the same luminaire group with the luminaire 120-k and/or neighboring luminaires of the luminaire 120-k.
In this regard, assuming that a luminaire 120-r serves as the reference luminaire, the one or more temporary lighting control rules may comprise at least a first temporary lighting control rule that defines switching on the light output from the luminaire 120-k as a response to receiving a status indication that indicates the reference luminaire 120-r having switched on its light output and it may further comprise a second temporary lighting control rule that defines adjusting the light output from the luminaire 120-k to the respective intermediate light intensity 13; x as a response to receiving a status indication that indicates the reference luminaire 120-r having adjusted its light output to the respective intermediate lighting intensity Igimr. and/or a third temporary lighting control rule that defines adjusting the light output from the luminaire 120-k to the respective stand-by light intensity 1,rr x as a response to receiving a status indication that indicates the reference luminaire 120-r having adjusted its light output to the respective stand-by lighting intensity Logs
In an example, the lighting control logic in the lighting control device 110-k may already include (e.g. due to a self-learning procedure having been applied therein) respective lighting control rules that, respectively, define switching on the light output of the luminaire 120-k, adjusting the light output therefrom to S the respective intermediate light intensity Igimx and adjusting the light output N from the luminaire 120-k to the respective stand-by light intensity Irr in S accordance with corresponding light control actions carried out by a luminaire N 25 in the same luminaire group with and/or by a luminaire in the neighborhood of E the luminaire 120-k.
In such a scenario the lighting control device 110-k may RP be arranged to refrain from complementing the lighting control logic therein O with the corresponding temporary lighting rules for the duration of the S deactivation period and/or to refrain from disabling such lighting control rules
- 30 after the deactivation period is over.
In case the one or more temporary lighting control rules are to be applied during a deactivation period, the choice of the one or more reference luminaires may be a predefined one. As non-limiting examples in this regard, the lighting control device 110-k may be preprogrammed to apply the luminaires in the same luminaire group with the luminaire 120-k as the reference luminaire(s), to apply the luminaires in the neighborhood of the luminaire 120-k as the reference luminaire(s), or to apply both the luminaires in the same luminaire group with the luminaire 120-k and the luminaires in the neighborhood of the luminaire 120-k as the reference luminaire(s). Alternatively, instead of predefining the choice of reference luminaire(s) in the lighting control device 110-k, this choice may be defined by the analysis means in the lighting control server 103 and specified in the deactivation command received from the lighting control server 103.
In a variation of the lighting system 100, the dedicated lighting control server 103 may be omitted and the corresponding functionality may be provided by the lighting control gateway 102. In such a variation of the lighting system 100, the operations described with references to the analysis means in the lighting control server 103 may be carried out by an analysis means provided in the lighting control gateway 102 instead, mutatis mutandis. In other words, in such a variation of the lighting system 100 the lighting control gateway 102 at least conceptually operates (also) as the lighting control server 103. S In another variation of the lighting system 100, some of the operations or 3 functions described in the foregoing for the lighting control server 103 may be provided by the lighting control gateway 102 instead. As an example in this N 25 regard, the operations pertaining to blocks 202 and 204, i.e. the identification E: of the one or more anomalous occupancy patterns among the occupancy 3 patterns obtained therein may be carried out by the lighting control server 103 O (as described in the foregoing), whereas other operations or functions S assigned for the analysis means in the lighting control server 103 in the description in the foregoing may be provided by an analysis means in the lighting control gateway 102 instead. In such an arrangement the analysis means in the lighting control server 103 may be arranged to transmit information that identifies those ones of the plurality of occupancy sensors 141 that have been found to provide the one or more anomalous occupancy patterns (and/or those of the plurality of luminaires 120 associated with the one or more anomalously performing occupancy sensors 141) to the lighting control gateway 102 to enable the analysis means therein to carry out the operations pertaining to block 206, mutatis mutandis.
The examples described in the foregoing assumed the lighting arrangement 100 to include the plurality of lighting units 101 of the kind illustrated by the block diagram of Figure 2, i.e. ones where the respective luminaire 120-k is provided together with the dedicated sensor unit 140-k and hence with the dedicated occupancy sensor 141-k.
Figure 5 illustrates a block diagram of some logical components of a lighting system 100’ according to an example, including a plurality of luminaires 120-1’, 120-2’, ..., 120-4’, a plurality of sensor — units 140-1, 140-2, a lighting controller 102" and the lighting control server 103. The luminaires 120-1’ to 120-4’ represent a plurality of (i.e. two or more) luminaires 120°, where an individual luminaire may be referred to via a reference number 120-k'. The sensor units 140-1 and 140-2 represent a plurality of (i.e. two or more) sensor units 140’, where an individual sensor unit may be referred to via a reference number 140-j'. In the lighting system 100°, the plurality of luminaires 120" and the plurality of S sensor units 140 are communicatively coupled to the lighting controller 102° 3 and possibly also to each other.
The communicative coupling may be provided via wired or wireless communication medium, e.g. via a wired bus (as N 25 — illustrated in the non-limiting example of Figure 5). The plurality of luminaires E: 120-k’, the plurality of sensor units 140 and the lighting controller 102" may be 3 considered as nodes of a lighting network.
In a non-limiting example, the O communicative coupling between nodes of the lighting network of the lighting S system 100’ may be provided via wired bus using a predefined lighting control protocol, such as the Digital Addressable Lighting Interface (DALI) specified in a series of technical standards IEC 62386.
Figure 6 illustrates a block diagram of some logical components of a luminaire 120-k' according to an example, comprising a lighting control device 110-K’ and the at least one light source 121-k. The lighting control device 110-k' comprises a lighting control means (e.g. a lighting control portion) and a communication means (e.g. a communication portion) for wired or wireless communication with other devices, e.g. with the lighting controller 102”. The lighting control device 110-k' is arranged to control light output of the luminaire 120-k based at least in part on control information received from the lighting controller 102’ via the communication means.
In the lighting system 100', the sensor unit 140-j is similar to that described in the foregoing in context of the lighting system 100, but it is arranged to provide the respective sensor signals or the sensor indications derived therein directly to the lighting controller 102’ (e.g. via a communication means provided in the sensor unit 140-j), which may comprise a computer device provided with a communication means that is able to communicate with the respective communication means in the lighting control devices 110" of the luminaires 120’ and with the sensor units 140. The lighting controller 102’ is to be construed as a logical entity that may be provided as an entity (physically) separate from the plurality of luminaires 120’.
— An analysis means in the lighting controller 120° may be arranged to derive the respective sensor indications from the respective sensors signals received S from the plurality of sensor units 140 or to receive the respective sensor 3 indications from the plurality of sensor units 140 and to store the sensor = indications in a memory provided in the lighting controller 102". In particular, N 25 — the analysis means in the lighting controller 102" may be arranged to receive E or derive and store the respective occupancy state indications received from 3 the respective sensor units 140 in the memory therein. In context of the lighting O system 100’, the sensor unit 140-j or the occupancy sensor 141-j therein may S have a sensor ID assigned thereto, e.g. an address, a serial number, a name, etc. assigned to the sensor unit 140-j or to the occupancy sensor 141-j.
The analysis means in the lighting controller 102’ may be arranged to store the occupancy state indications (and possible sensor indications of other type) received from the sensor unit 140-j together with the sensor ID and timing information pertaining to the respective occupancy state indications (and possible sensor indications of other type) as history data pertaining to the occupancy sensor 140-j.
The lighting controller 102* is arranged to receive the respective occupancy state indications (and possible sensor indications of other type) from each of the plurality of sensor units 140 and store this information together with the respective sensor ID and timing information for each of the plurality of sensor units 140. Such collection of data originating from the plurality of sensor units 140 may be referred to as aggregate history data and it comprises respective time series of occupancy state indications for the plurality of occupancy sensors 141. The lighting controller 102° may comprise a lighting control means that are preprogrammed (or otherwise provided) with a respective lighting control logic that defines the manner of controlling the light output from the luminaire 120- k' at least in part in dependence of the occupancy state indications obtained at the lighting controller 102’ for an occupancy sensor 141-j associated with the luminaire 120-k' (and/or for an occupancy sensor 141-j that has the luminaire 120-k' associated therewith). In this regard, each of the plurality of luminaires 120’ may be associated with one of the plurality of occupancy sensors 141, o whereas each of the plurality of occupancy sensors 141 may be associated O with one or more of the plurality of luminaires 120°. The association (or x mapping) between the lighting sensors is stored at the lighting controller 102’ S 25 andit may be defined, for example, upon installing, configuring or reconfiguring I the lighting controller 102' and/or the lighting system 100". a 2 The lighting control logic at the lighting control means of the lighting controller O 102’ pertaining to the luminaire 120-k' is similar to the lighting control logic S provided in the lighting control device 110-k described in the foregoing, whereas the lighting control actions pertaining to the luminaire 120-k' arising from operation of the respective lighting control logic in the lighting controller
102’ are implemented via transmitting respective lighting control commands from the lighting controller 102’ to the luminaire 120-k’, where the respective lighting control means in the lighting control device 110-k' is arranged to control or adjust the light output from the luminaire 120-k' in accordance with the received lighting control commands. The lighting controller 102" may be also referred to as a central controller or a central lighting controller due to controlling at least some aspects of the respective light output from the plurality of luminaires 120’.
The transfer of the aggregate history data from the lighting controller 102’ to the lighting control server 103 may be carried out in a manner described in the foregoing for the data transfer between the lighting control gateway 102’ and the lighting control server 103. Moreover, the analysis of the occupancy state indications followed by possible disablement of operation of the first switch-on rule for those ones of the plurality of luminaires 120’ that are associated with an occupancy sensor found to have captured one of the one or more anomalous occupancy patterns, e.g. in accordance with the method 200 described in the foregoing, mutatis mutandis. Further along the lines described in the foregoing, in variations of the lighting system 100’ at least some of the of the operations or functions described in the foregoing for the lighting control server 103 may be provided by the lighting controller 102’ instead. As an example in this regard, the dedicated lighting S control server 103 may be omitted and the corresponding functionality may be 3 provided by the lighting controller 102" instead, the lighting controller 120° = hence at least conceptually operating (also) as the lighting control server 103. N 25 In another example in this regard, the operations pertaining to blocks 202 and E: 204, i.e. the identification of the one or more anomalous occupancy patterns 3 among the occupancy patterns obtained therein may be carried out by the O lighting control server 103 (as described in the foregoing), whereas other S operations or functions assigned for the analysis means in the lighting control server 103 in the description in the foregoing may be provided by the analysis means in the lighting controller 102’ instead. In such an arrangement the analysis means in the lighting control server 103 may be arranged to transmit information that identifies those ones of the plurality of occupancy sensors 141 that have been found to provide the one or more anomalous occupancy patterns (and/or those of the plurality of luminaires 120’ associated with the one or more anomalously performing occupancy sensors 141) to the lighting controller 102’ to enable the analysis means therein to carry out the operations pertaining to block 206, mutatis mutandis. In the lighting system 100° any actions for disabling operation of the first switch- on rule for the luminaire 120-k associated with an anomalously performing occupancy sensor are implemented by the lighting controller 102”. In other words, each of disablement of the first switch-on rule upon initiation of a deactivation period, adaptation of the lighting control logic to include the one or more temporary lighting control rules for the duration of the deactivation period and/or re-enablement of the first switch-on rule when the deactivation period is over may be carried via the adaptation means in the lighting controller 102’ adapting or reprogramming the lighting control logic provided for the luminaire 120-k' in the lighting control means of the lighting controller 102° accordingly. Figure 7 illustrates a block diagram of some components of an exemplifying apparatus 300. The apparatus 300 may comprise further components, elements or portions that are not depicted in Figure 7. The apparatus 300 may S be referred to as a computing apparatus and it may be employed e.g. in 3 implementing at least some of the operations, procedures and/or functions = described in the foregoing in context of the analysis means.
N T 25 The apparatus 300 comprises a processor 316 and a memory 315 for storing > data and computer program code 317. The memory 315 and a portion of the E computer program code 317 stored therein may be further arranged to, with S the processor 316, to implement at least some of the operations, procedures N and/or functions described in the foregoing in context of the analysis means.
The apparatus 300 comprises a communication portion 312 for communication with other devices.
The communication portion 312 comprises at least one communication apparatus that enables wired or wireless communication with other apparatuses.
A communication apparatus of the communication portion 312 may also be referred to as a respective communication means.
The apparatus 300 may, optionally, further comprise one or more user I/O (input/output) components 318 that may be arranged, possibly together with the processor 316 and a portion of the computer program code 317, to provide a user interface for receiving input from a user of the apparatus 300 and/or providing output to the user of the apparatus 300 to control at least some aspects of operation of the lighting control device 110-k implemented by the apparatus 300. The user I/O components 318 may comprise hardware components such as a display, a touchscreen, a touchpad, an arrangement of one or more keys or buttons, etc.
The user I/O components 318 may be also referred to as peripherals.
The processor 316 may be arranged to control operation of the apparatus 300 e.g. in accordance with a portion of the computer program code 317 and possibly further in accordance with the user input received via the user I/O components 318 and/or in accordance with information received via the communication portion 312. Although the processor 316 is depicted as a single component, it may be implemented as one or more separate processing components.
Similarly, S although the memory 315 is depicted as a single component, it may be 3 implemented as one or more separate components, some or all of which may be integrated/removable and/or may provide permanent / semi-permanent/ N 25 —dynamic/cached storage.
Za > The computer program code 317 stored in the memory 315, may comprise E computer-executable instructions that control one or more aspects of operation S of the apparatus 300 when loaded into the processor 316. As an example, the N computer-executable instructions may be provided as one or more seguences of one or more instructions.
The processor 316 is able to load and execute the computer program code 317 by reading the one or more seguences of one or more instructions included therein from the memory 315. The one or more sequences of one or more instructions may be configured to, when executed by the processor 316, cause the apparatus 300 to carry out at least some of the operations, procedures and/or functions described in the foregoing in context of the analysis means. Hence, the apparatus 300 may comprise at least one processor 316 and at least one memory 315 including the computer program code 317 for one or more programs, the at least one memory 315 and the computer program code 317 configured to, with the at least one processor 316, cause the apparatus 300 to perform at least some of the operations, procedures and/or functions described in the foregoing in context of the analysis means. The computer programs stored in the memory 315 may be provided e.g. as a respective computer program product comprising at least one computer- readable non-transitory medium having the computer program code 317 stored thereon, the computer program code, when executed by the apparatus 400, causes the apparatus 300 at least to perform at least some of the operations, procedures and/or functions described in the foregoing in context of the analysis means. The computer-readable non-transitory medium may comprise a memory device or a record medium such as a CD-ROM, a DVD, a Blu-ray disc or another article of manufacture that tangibly embodies the computer program. As another example, the computer program may be S provided as a signal configured to reliably transfer the computer program.
N 3 Reference(s) to a processor should not be understood to encompass only S programmable processors, but also dedicated circuits such as field- = 25 programmable gate arrays (FPGA), application specific circuits (ASIC), signal > processors, etc. Features described in the preceding description may be used E in combinations other than the combinations explicitly described.OSN

权利要求:
Claims (15)
[1] Claims
1. A method (200) for controlling operation of a lighting system (100, 100°) that comprises a plurality of luminaires (120, 120°) for illuminating a space and a plurality of occupancy sensors (141) arranged in said space, wherein each luminaire (120-k, 120-kK’) is arranged to follow a lighting control rule that defines switching on the light output therefrom as a response to receiving an indication of occupancy detected by an occupancy sensor (141-k) having the respective luminaire (120-k, 120- k') associated therewith, the method comprising: obtaining (202) a respective occupancy pattern for each of the plurality of occupancy sensors (141), wherein each occupancy pattern represents a time series of occupancy state indications captured using a respective occupancy sensor (141-k) in said space during an observation period; identifying (204), based on the obtained occupancy patterns, one or more anomalous occupancy patterns that represent occupancy state transitions different from occupancy state transitions represented by other ones of the occupancy patterns; and disabling (206) operation of said lighting control rule for those ones of the plurality of luminaires (120, 120°) that are associated with an occupancy o sensor (141-k) having captured one of said one or more identified O anomalous occupancy patterns. 3 8 2. A method according to claim 1, wherein obtaining (202) the occupancy E 25 pattern for the luminaire (120-k, 120-k') comprises: 3 reconstructing a respective time series of occupancy state indications O based on occupancy state indications received from an occupancy S sensor (141-k) having the luminaire (120-k, 120-k') associated therewith, and deriving the occupancy pattern for the luminaire (120-k, 120-k') based on the respective reconstructed time series of occupancy state indications.
3. A method according to claim 1 or 2, wherein an occupancy pattern comprises a time series of occupancy state indications covering the observation period, where each occupancy state indication represents the occupancy state at the respective time instant.
4. A method according to any of claims 1 to 3, wherein identifying (204) the one or more anomalous occupancy patterns comprises identifying said one or more anomalous occupancy patterns based on one differences in respective frequencies of occurrences of occupancy state transitions in said occupancy patterns in comparison to respective predefined reference frequencies.
5. A method according to claim 4, wherein identifying (204) the one or more anomalous occupancy patterns comprises: determining, based on each occupancy pattern, a respective frequency distribution for one or more occupancy state transition types; comparing the respective one or more frequency distributions determined
O O for each occupancy pattern to respective one or more predefined <+ reference freguency distributions, where each reference freguency
O o distribution represents a normal occupancy pattern for the respective N "ai - occupancy transition type; and Za + 25 identifying the occupancy patterns having frequency distributions that do
O 2 not substantially match the respective reference freguency distributions
LO S as anomalous occupancy patterns.
O
N
6. A method according to any of claims 1 to 3, wherein identifying (204) the one or more anomalous occupancy patterns comprises identifying said one or more anomalous occupancy patterns based on one of the following: differences in respective timings of occurrences of occupancy state transitions in said occupancy patterns in comparison to each other, differences in respective frequencies of occurrences of occupancy state transitions in said occupancy patterns in comparison to each other.
7. A method according to claim 6, wherein said identification of one more occupancy patterns comprises: classifying, via usage of a clustering algorithm, each occupancy pattern into one or more classes based on similarity of occurrences of one or more occupancy state transition types across the occupancy patterns; and identifying the one more anomalous occupancy patterns based on the classification.
8. A method according to claim 7, wherein O 20 said classification results in a first class of occupancy patterns and one
N S or more second classes of occupancy patterns; and < Ce . MUN O said identification comprises designating any occupancy pattern N classified into one of the second classes as an anomalous occupancy E pattern in case the amount of occupancy patterns assigned into the first o 25 class is egual to larger than a predefined threshold amount. &
LO
O
S N 9. A method according to any of claims 1 to 8, wherein identification (204) of the one or more anomalous occupancy patterns considers one or more of the following occupancy state transition types:
continued non-occupancy, a change from non-occupancy to occupancy, continued occupancy, a change from occupancy to non-occupancy.
10. A method according to any of claims 1 to 9, wherein disabling (206) operation of said lighting control rule comprises one of the following: transmitting, to those ones of the plurality of luminaires (120) that are associated with said one or more identified anomalous occupancy patterns, a respective deactivation command to instruct the respective one of the plurality of luminaires (120) to disable said lighting control rule therein, disabling, at a lighting controller (102) arranged to control at least some aspects of the light output of the plurality of luminaires (120°), said lighting control rule for those ones of the plurality of luminaires (120°) that are associated with said one or more identified anomalous occupancy patterns.
11. A method according to any of claims 1 to 10, wherein disabling (206) o 20 operation of said lighting control rule comprises disabling operation of S those ones of the one or more occupancy sensors (141) that have x captured said one or more identified anomalous occupancy patterns. o
N
I = 12. A method according to any of claims 1 to 11, wherein disabling (206) 3 25 operation of said lighting control rule comprises one of the following: S disabling operation of said lighting control rule until further notice,
O N disabling operation of said lighting control rule for a specified time period.
13. A method according to any of claims 1 to 10, wherein the method (200) further comprises enabling, for those ones of the plurality of luminaires (120, 120’) that are associated with an occupancy sensor (141-k) having captured one of said one or more identified anomalous occupancy patterns, one or more temporary lighting control rules that define following at least some lighting control actions taken by one or more of the following: other ones of the plurality of luminaires (120, 120’) that are assigned to the same luminaire group with the respective one of the plurality of luminaires (120, 120) that are associated with an occupancy sensor (141-k) having captured one of said one or more identified anomalous occupancy patterns, those ones of the plurality of luminaires (120, 120’) that are neighboring luminaires to the respective one of the plurality of luminaires (120, 1207) associated with an occupancy sensor (141-k) having captured one of said one or more identified anomalous occupancy patterns.
14. A computer program (317) for controlling operation of a lighting system (100, 100 that comprises a plurality of luminaires (120, 120°) for illuminating a space and a plurality of occupancy sensors (141) arranged in said space, wherein each luminaire (120-k, 120-k') is arranged to follow S a lighting control rule that defines switching on the light output therefrom 3 as a response to receiving an indication of occupancy detected by an occupancy sensor (141-k) having the respective luminaire (120-k) N 25 associated therewith, the computer program (317) comprising computer E: readable program code configured to cause performing at least the 3 method according to any of claims 1 to 13 when said program code is O executed on one or more computing apparatuses (300).
S
15. An apparatus (102, 102’, 103, 300) for controlling operation of a lighting system (100, 100’) that comprises a plurality of luminaires (120, 120’) for illuminating a space and one or more occupancy sensors (141) arranged in said space, wherein each luminaire (120-k, 120-k’) is arranged to follow a lighting control rule that defines switching on the light output therefrom as a response to receiving an indication of occupancy detected by an occupancy sensor (141-k) having the respective luminaire (120-k, 120- k') associated therewith, the apparatus (102, 102°, 103, 300) comprising analysis means configured to: obtain a respective occupancy pattern for each of the plurality of occupancy sensors (141), wherein each occupancy pattern represents a time series of occupancy states captured using a respective occupancy sensor (141-k) during an observation period; identify, based on the obtained occupancy patterns, one or more anomalous occupancy patterns that represent occupancy state transitions different from occupancy state transitions represented by other ones of the occupancy patterns; and disable operation of said lighting control rule for those ones of the plurality of luminaires (120, 120') that are associated with an occupancy sensor (141-k) having captured one of said one or more identified anomalous occupancy patterns.
O
I
O
N <
O
N
I =
O
O 0
LO
O
I
O
N

类似技术:

---

公开号 | 公开日 | 专利标题

---

US10021770B2|2018-07-10|Wireless lighting control system

---

US10349494B2|2019-07-09|Systems and methods for lighting control

---

CN104582176A|2015-04-29|Wireless lighting control system and wireless lighting control method thereof

---

US9538621B2|2017-01-03|Learning luminaire and a learning control device for a luminaire

---

CN204362376U|2015-05-27|A kind of wireless lighting control system

---

US20080265799A1|2008-10-30|Illumination control network

---

EP2878177B1|2021-12-29|Distributed lighting control

---

US10798800B2|2020-10-06|System and method for automatically creating and operating a functional association of lights

---

EP3399844A1|2018-11-07|System and method for automatically creating and operating a functional association of lights

---

FI129261B|2021-10-29|Lighting control

---

EP3846591A1|2021-07-07|Lighting control

---

EP3758448A1|2020-12-30|Self-adaptive lighting control

---

US20180042087A1|2018-02-08|System, Apparatus, and Method for Light Control

---

EP3799533A1|2021-03-31|Self-adaptive lighting control

---

US20210352002A1|2021-11-11|Assigning router devices in a mesh network

---

US20210378008A1|2021-12-02|Control device having an adaptive transmission threshold

---

EP3820255A1|2021-05-12|Self-configuring lighting control

---

EP3749060A1|2020-12-09|Self-configuring lighting control

---

US20200233390A1|2020-07-23|Wall switch with annunciator

---

US20220043408A1|2022-02-10|Automation system

---

CN112020184A|2020-12-01|Building lighting system and method based on Internet of things

---

CN113647057A|2021-11-12|Network system operating with predicted events

---

GB2569621A|2019-06-26|Intelligent lighting

---

GB2546812A|2017-08-02|System for controlling a plurality of power-consuming devices

同族专利:

---

公开号 | 公开日

---

FI129261B|2021-10-29|

引用文献:

---

公开号 | 申请日 | 公开日 | 申请人 | 专利标题

---

---

法律状态:
2021-10-29| FG| Patent granted|Ref document number: 129261 Country of ref document: FI Kind code of ref document: B |

优先权:

---

申请号 | 申请日 | 专利标题

---

FI20205399A|FI129261B|2020-04-20|2020-04-20|Lighting control|FI20205399A| FI129261B|2020-04-20|2020-04-20|Lighting control|