Lighting control system with microwave-induced anomaly detection function and method thereof

Abstract

The present application provides a lighting control system with microwave-induced abnormality detection function and a method thereof. The system includes a plurality of lighting devices and a master control platform. The plurality of lighting devices are distributed in a target area, and each lighting device has a microwave induction function. The master control platform performs abnormality detection for each lighting device, and stores an induction state update table recording the last trigger time and the number of abnormalities of each lighting device, and an associated device table of each lighting device. The associated device table records a plurality of associated lighting devices associated with the lighting device in the physical space. When performing abnormality detection for any lighting device, the master control platform compares the last trigger time and the associated device table of the lighting device with the induction state update table to determine whether the lighting device is normal.

Description

TECHNICAL FIELD

[0001] The present invention relates to a lighting control system, in particular, a lighting control system with microwave induction abnormality detection function. The present invention also relates to a microwave induction abnormality detection method of the lighting control system. BACKGROUND

[0002] The lighting control system can control a plurality of lighting devices with group induction function and object detection function (e.g. microwave induction function). Any lighting device can be triggered to turn on and generate a detection signal after detecting a moving object (e.g. human, vehicle, etc.) in a target area (e.g. parking lot, factory, production line, sports field, etc.). Then, the lighting device can generate an activation signal according to the detection signal and transmit the activation signal to other lighting devices in the same group to turn on these lighting devices. In this way, these lighting devices can illuminate the target area.

[0003] However, the microwave induction module of the lighting device is prone to self-excitation due to ripple or environmental influence, thereby generating false detection signals and making the object detection function unable to operate normally. As a result, the lighting device may still turn on without detecting a moving object. However, the existing lighting control system lacks effective abnormality detection function, so it cannot effectively solve the above problem.

[0004] Chinese patent publication CN108575040A and Chinese patent publication CN112911755A also disclose technical contents related to lighting devices with microwave induction function, but still cannot overcome the above problem. SUMMARY

[0005] The present invention proposes a lighting control system with microwave induction abnormality detection function, which includes a plurality of lighting devices and a master control platform. The plurality of lighting devices are distributed in a target area. Each lighting device is triggered to generate an induction signal when it senses a moving object in the target area, and broadcasts the induction signal. The master control platform performs abnormality detection for each lighting device, and stores an induction state update table recording the last trigger time and the number of abnormalities of each lighting device, and an associated device table of each lighting device. The associated device table records a plurality of associated lighting devices associated with the lighting device in the physical space. When performing abnormality detection for any lighting device, the master control platform compares the last trigger time of the lighting device and the associated device table with the induction state update table. The master control platform judges the lighting device to be normal when the last trigger time of part of the plurality of associated lighting devices is within a preset time interval and the number of this part is greater than or equal to a preset number. Then, the master control platform adjusts the number of abnormalities of the lighting device in the induction state update table to 0.

[0006] As an improvement of the present application, the last trigger time of the lighting device is the center time point or the end time point of the preset time interval.

[0007] As an improvement of the present application, the master platform judges the lighting device as abnormal when the last trigger time of the part of the multiple associated lighting devices is within the preset time interval and the number of the part is lower than the preset number. Then, the master platform increases the abnormal number of the lighting device in the sensing state update table by 1.

[0008] As an improvement of the present application, the sensing state update table further records the sensing sensitivity of each lighting device. The master platform adjusts the abnormal number of the lighting device to 0 when the abnormal number of the lighting device in the sensing state update table is equal to the abnormal upper limit. Then, the master platform decreases the sensing sensitivity of the lighting device by 1 when the sensing sensitivity of the lighting device is not 1.

[0009] As an improvement of the present application, the sensing state update table further records the sensing enable state of each lighting device. The master platform adjusts the sensing enable state of the lighting device to 0 when the sensing sensitivity of the lighting device is 1, so as to close the microwave sensing function of the lighting device.

[0010] The present application further provides a microwave sensing abnormality detection method of a lighting control system, which comprises the following steps: distributing multiple lighting devices in a target area, each lighting device being triggered to generate a sensing signal when sensing a moving object in the target area, and broadcasting the sensing signal; storing, by a master platform, a sensing state update table recording the last trigger time and the abnormal number of each lighting device, and an associated device table of each lighting device, the associated device table recording multiple associated lighting devices associated with the lighting device in a physical space; comparing, by the master platform, the last trigger time and the associated device table of the lighting device with the sensing state update table when performing abnormality detection on any lighting device; and judging, by the master platform, the lighting device as normal when the last trigger time of the part of the multiple associated lighting devices is within the preset time interval and the number of the part is greater than or equal to the preset number, and adjusting the abnormal number of the lighting device in the sensing state update table to 0.

[0011] As an improvement of the present application, the last trigger time of the lighting device is the center time point or the end time point of the preset time interval.

[0012] As an improvement of the present application, the method further comprises the following steps: judging, by the master platform, the lighting device as abnormal when the last trigger time of the part of the multiple associated lighting devices is within the preset time interval and the number of the part is lower than the preset number, and increasing the abnormal number of the lighting device in the sensing state update table by 1.

[0013] As an improvement of the present application, the method further comprises the following steps: recording the induction sensitivity of each lighting device via the induction state update table; and adjusting the abnormal number of the lighting device in the induction state update table to 0 by the master control platform when the abnormal number of the lighting device is increased by 1 and the abnormal number of the lighting device is equal to the abnormal upper limit, and reducing the induction sensitivity of the lighting device by 1 when the induction sensitivity of the lighting device is not 1.

[0014] As an improvement of the present application, the method further comprises the following steps: recording the induction sensitivity of each lighting device via the induction state update table; and adjusting the abnormal number of the lighting device in the induction state update table to 0 by the master control platform when the abnormal number of the lighting device is increased by 1 and the abnormal number of the lighting device is equal to the abnormal upper limit, and reducing the induction sensitivity of the lighting device by 1 when the induction sensitivity of the lighting device is not 1.

[0015] As an improvement of the present application, the method further comprises the following steps: recording the induction sensitivity of each lighting device via the induction state update table; and adjusting the abnormal number of the lighting device in the induction state update table to 0 by the master control platform when the abnormal number of the lighting device is increased by 1 and the abnormal number of the lighting device is equal to the abnormal upper limit, and reducing the induction sensitivity of the lighting device by 1 when the induction sensitivity of the lighting device is not 1.

[0016] (1) According to the present disclosure, a lighting control system includes a plurality of lighting devices and a master control platform. The plurality of lighting devices are distributed in a target area. Each lighting device is triggered to generate a sensing signal when a moving object in the target area is sensed, and broadcasts the sensing signal. The master control platform performs anomaly detection for each lighting device, and stores a sensing state update table recording a last triggering time and an anomaly number of each lighting device, and an associated device table of each lighting device. The associated device table records a plurality of associated lighting devices associated with the lighting device in a physical space. When performing anomaly detection for any lighting device, the master control platform compares the last triggering time and the associated device table of the lighting device with the sensing state update table. When the last triggering time of a portion of the plurality of associated lighting devices is within a preset time interval and the number of the portion is greater than or equal to a preset number, the master control platform determines that the lighting device is normal. Then, the master control platform adjusts the anomaly number of the lighting device in the sensing state update table to 0. When the last triggering time of a portion of the plurality of associated lighting devices is within a preset time interval and the number of the portion is less than a preset number, the master control platform determines that the lighting device is abnormal. Then, the master control platform increments the anomaly number of the lighting device in the sensing state update table by 1. In addition, the sensing state update table also records a sensing sensitivity of each lighting device. When the anomaly number of the lighting device in the sensing state update table is incremented by 1 and the anomaly number of the lighting device is equal to an upper limit of anomaly, the master control platform adjusts the anomaly number of the lighting device to 0. Then, the master control platform decrements the sensing sensitivity of the lighting device by 1 when the sensing sensitivity of the lighting device is not 1. Through the above lighting device management mechanism based on the sensing state update table and the associated device table, the lighting control system can effectively lower the sensitivity of any lighting device that causes abnormal microwave sensing function due to self-excitation, to avoid false sensing signals. Therefore, the lighting control system can ensure that the lighting system composed of these lighting devices can operate normally to meet the needs of practical applications.

[0017] (2) According to the present disclosure, when the master control platform of the lighting control system performs anomaly detection for a lighting device, the master control platform compares the last triggering time and the associated device table of the lighting device with the sensing state update table, and the master control platform determines whether the lighting device is normal or abnormal when judging whether the last triggering time of a portion of the plurality of associated lighting devices is within a preset time interval and the number of the portion is less than a preset number. The center time point or the end time point of the preset time interval is. Therefore, the preset time interval is formed based on the time window of the last triggering time of the lighting device. The above special time window mechanism provides a basis for the lighting control system to determine whether the lighting device is normal or abnormal, so that the microwave sensing anomaly detection function of the lighting control system can achieve high accuracy.

[0018] (3) According to the present disclosure, the main control platform of the lighting control system stores a sensing status update table that also records the remaining distance check time for each lighting device. The main control platform refreshes the sensing status update table every unit time and periodically performs anomaly detection on each lighting device based on the remaining distance check time for each lighting device. Through this mechanism, the lighting control system can effectively manage all lighting devices, ensuring the normal operation of the lighting system.

[0019] (4) According to the disclosure of the present invention, the microwave sensing anomaly detection function of the lighting control system can ensure the normal operation of the lighting system, making the lighting control system effectively applicable to various intelligent systems, such as smart home systems, smart parking systems, and other similar systems. Therefore, the lighting control system can be applied more widely and in line with future development trends.

[0020] (5) According to the disclosure of the present invention, the lighting control system has a simple design and can implement the microwave sensing anomaly detection function through a simple and efficient mechanism. Thus, the lighting control system can achieve the desired effect without significantly increasing costs, thereby improving the practicality of the lighting control system. Therefore, the lighting control system can truly meet the needs of different applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a block diagram of a lighting control system with a microwave induction anomaly detection function according to a first embodiment of the present invention;

[0022] Figure 2 A block diagram of a lighting device of a lighting control system with a microwave induction anomaly detection function according to a first embodiment of the present invention;

[0023] Figure 3 This is a first flow chart of a microwave induction anomaly detection method for a lighting control system according to a second embodiment of the present invention;

[0024] Figure 4 This is a second flow chart of the microwave induction anomaly detection method of the lighting control system according to the second embodiment of the present invention.

[0025] Description of reference numerals:

[0026] 1- Lighting control system; 11- Lighting device; 111- Microwave sensing module; 112- Communication module; 12- Main control platform; S31-S34, S41-S43- Step process.

[0027] The present application will become fully understood from the detailed description given herein below and the accompanying drawings which are given by way of illustration and are not intended to limit the present application. DETAILED DESCRIPTION

[0028] Embodiments of a lighting control system with microwave-induced abnormality detection function and method thereof according to the present application will be described in detail with reference to the drawings. For the purpose of clarity, the components in the drawings are shown in an exaggerated manner. When an element is referred to as being "connected" or "coupled" to another element in the following description, it can be directly connected or coupled to the other element or intervening elements can be present. In addition, when an element is referred to as being "directly connected" or "directly coupled" to another element, there are no intervening elements present. Like reference numerals can be used to denote like elements throughout the specification and / or drawings. The same elements in the following embodiments can be explained with the same symbols.

[0029] Referring to Figure 1 and Figure 2 . Figure 1 Block diagram of a lighting control system with microwave-induced abnormality detection function according to a first embodiment of the present application. Figure 2 Block diagram of a lighting device of a lighting control system with microwave-induced abnormality detection function according to a first embodiment of the present application. As shown in the figure, the lighting control system 1 includes a plurality of lighting devices 11 and a master control platform 12. The plurality of lighting devices 11 can be connected to the master control platform 12 through wired or wireless means, so that the master control platform 11 can communicate with the plurality of lighting devices 11.

[0030] The plurality of lighting devices 11 are distributed in a target area (e.g. a parking lot, a factory, a production line, a sports field, etc.). Each lighting device 11 includes a microwave-induced module 111 (e.g. a microwave sensor) and a communication module 112 (e.g. an antenna or other circuit with communication function) connected to each other. The microwave-induced module 111 of each lighting device 11 is triggered to generate an induction signal when a moving object in the target area is sensed, and the induction signal is broadcasted through the communication module 112. In an embodiment, the plurality of lighting devices 11 can be light-emitting diode (LED) lighting devices. In another embodiment, the plurality of lighting devices 11 can also be fluorescent lamps, light bulbs or other similar devices.

[0031] The master platform 12 performs anomaly detection for each lighting device 11, and stores a sensing status update table and an associated device table of each lighting device 11. In an embodiment, the master platform 12 can be a server. In another embodiment, the master platform 12 can also be a personal computer, a notebook, a smart phone or other similar devices. The sensing status update table records an identifier (ID) of each lighting device 11, a last trigger time, an anomaly number, a sensing sensitivity, a sensing enable status and a distance check remaining time. For example, the sensing status update table is shown in Table 1 as follows:

[0032] Table 1

[0033]

[0034] The associated device table of each lighting device 11 records a plurality of associated lighting devices which are physically associated with the lighting device 11. For example, the lighting device 11 and its associated lighting devices are arranged on the same path, or the lighting device 11 and its associated lighting devices are adjacent to each other. For example, the associated device table of the lighting device 11 (with an identifier of 88888001) is shown in Table 2 as follows:

[0035] Table 2

[0036]

[0037] When any lighting device 11 is triggered to generate a sensing signal upon sensing a moving object in a target area, the sensing signal is broadcasted to the master platform 12 through the mesh network and the gateway. When the master platform 12 receives the sensing signal broadcasted by any lighting device 11, the master platform 12 updates the last trigger time of the lighting device 11 in the sensing status update table. Meanwhile, the master platform 12 checks the distance check remaining time of the lighting device 11 in the sensing status update table. If the distance check remaining time is not 0, the master platform 12 does not perform any operation. If the distance check remaining time is 0, the master platform 12 updates the distance check remaining time to a preset time interval. The unit of the preset time interval is a unit time. For example, if the preset time interval is 15 and the unit time is 1 second, the preset time interval is 15 seconds. The above is only an example, and the preset time interval and the unit time can be adjusted according to actual needs. The master platform 12 can update the sensing status update table every unit time to check the distance check remaining time of all lighting devices 11. If the distance check remaining time of a lighting device 11 is 0, the master platform 12 does not perform any operation. If the distance check remaining time of a lighting device 11 is not 0, the master platform 12 decreases the distance check remaining time by 1. If the distance check remaining time of a lighting device 11 is 1, the master platform 12 decreases the distance check remaining time by 1, and performs anomaly detection for the lighting device 11.

[0038] The master platform 12 compares the last trigger time of the lighting device 11 and the associated device table with the sensing state update table when performing abnormality detection for any one of the lighting devices 11. The master platform 12 judges that the lighting device 11 is normal when the last trigger time of a portion of the above-mentioned associated lighting devices is within a preset time interval and the number of the portion is greater than or equal to a preset number. In the embodiment, the last trigger time of the lighting device 11 is the center time point of the preset time interval. In another embodiment, the last trigger time of the lighting device 11 is the end time point of the preset time interval. Then, the master platform 12 adjusts the abnormality number of the lighting device 11 in the sensing state update table to 0. For example, if the preset time interval is 15 seconds and the preset number is 2, the master platform 12 judges whether the last trigger time of more than 2 associated lighting devices is within the range of 7.5 seconds before and after the last trigger time of the lighting device 11. If yes, the master platform 12 judges that the lighting device 11 is normal and adjusts the abnormality number of the lighting device 11 in the sensing state update table to 0.

[0039] The master platform 12 judges that the lighting device 11 is abnormal when the last trigger time of a portion of the above-mentioned associated lighting devices is within a preset time interval and the number of the portion is less than a preset number. Then, the master platform 12 adds 1 to the abnormality number of the lighting device 11 in the sensing state update table. For example, the master platform 12 judges that only one associated lighting device has a last trigger time within the range of 7.5 seconds before and after the last trigger time of the lighting device 11, the master platform 12 judges that the lighting device 11 is abnormal and adjusts the abnormality number of the lighting device 11 in the sensing state update table by 1.

[0040] The master platform 12 adjusts the abnormality number of the lighting device 11 in the sensing state update table by 1 and the abnormality number of the lighting device 11 is equal to the abnormality upper limit, the master platform 12 adjusts the abnormality number of the lighting device 11 to 0. Then, the master platform 12 reduces the sensing sensitivity of the lighting device 11 by 1 when the sensing sensitivity of the lighting device 11 is not 1. The master platform 12 transmits an adjustment signal to the lighting device 11 to reduce the sensing sensitivity of the lighting device 11. Meanwhile, for example, if the abnormality upper limit is 5 and the current sensing sensitivity of the lighting device 11 is 2, the master platform 12 adjusts the abnormality number of the lighting device 11 to 0 when the abnormality number of the lighting device 11 in the sensing state update table is added by 1 and the abnormality number of the lighting device 11 is equal to 5. Then, the master platform 12 reduces the sensing sensitivity of the lighting device 11 from 2 to 1.

[0041] The master platform 12 adjusts the sensing enable state of the lighting device 11 to 0 to turn off the microwave sensing function of the lighting device 11 when the sensing sensitivity of the lighting device 11 is 1. For example, if the abnormality upper limit is 5 and the current sensing sensitivity of the lighting device 11 is 1, the master platform 12 adjusts the abnormality number of the lighting device 11 to 0 when the abnormality number of the lighting device 11 in the sensing state update table is increased by 1 and the abnormality number of the lighting device 11 is equal to 5. Then, the master platform 12 adjusts the sensing enable state of the lighting device 11 to 0 to turn off the microwave sensing function of the lighting device 11.

[0042] As described above, in the present embodiment, through the above-mentioned lighting device management mechanism based on the sensing state update table and the associated device table, the lighting control system 1 can effectively adjust the sensitivity of any lighting device 11 to avoid false sensing signals caused by self-excitation of the microwave sensing function of the lighting device 11. Therefore, the lighting control system 1 can ensure that the lighting system composed of the lighting devices 11 can operate normally to meet the requirements of practical applications.

[0043] In addition, in the present embodiment, when performing abnormality detection on the lighting device 11, the master platform 12 of the lighting control system 1 compares the last trigger time of the lighting device 11 with the associated device table and the sensing state update table, and the master platform 12 judges whether the lighting device 11 is normal or abnormal by judging whether the last trigger time of the part of the above-mentioned associated lighting devices is within a preset time interval and whether the number of the part is less than a preset number. The center time point or the end time point of the above-mentioned preset time interval is 0. Therefore, the above-mentioned preset time interval is formed based on the time window of the last trigger time of the lighting device 11. The above-mentioned special time window mechanism provides a basis for the lighting control system 1 to judge whether the lighting device 11 is normal or abnormal, so that the microwave sensing abnormality detection function of the lighting control system 1 can achieve high accuracy.

[0044] In addition, in the present embodiment, the sensing state update table stored by the master platform 12 of the lighting control system 1 also records the distance check remaining time of each lighting device 11. The master platform 12 refreshes the sensing state update table every unit time, and periodically performs abnormality detection on each lighting device 11 according to the distance check remaining time of each lighting device 11. Through the above-mentioned mechanism, the lighting control system 1 can effectively manage all lighting devices 11, so that the lighting system can operate normally.

[0045] Of course, the present embodiment is only used for illustration and does not limit the scope of the present application, and equivalent modifications or changes made according to the lighting control system with microwave sensing abnormality detection function of the present embodiment should still be included in the patent scope of the present application.

[0046] It's worth noting that the microwave sensing module of a lighting device can easily self-excite due to ripple or environmental influences, generating erroneous detection signals and malfunctioning its object detection function. Consequently, the lighting device may remain on even when no moving object is detected. However, existing lighting control systems lack effective abnormality detection capabilities and therefore cannot effectively address this issue. In contrast, according to a first embodiment of the present invention, a lighting control system includes multiple lighting devices and a master control platform. The multiple lighting devices are distributed across a target area. Each lighting device is triggered to generate a sensing signal upon sensing a moving object in the target area and broadcasts the sensing signal. The master control platform performs abnormality detection on each lighting device and stores a sensing status update table that records the last trigger time and number of abnormalities for each lighting device, as well as an associated device table for each lighting device. The associated device table records multiple associated lighting devices that are physically associated with the lighting device. When performing abnormality detection on any lighting device, the master control platform compares the lighting device's last trigger time and the associated device table with the sensing status update table. The master control platform determines that the lighting device is functioning properly if the last trigger time of a portion of the multiple associated lighting devices is within a preset time interval and the number of such portions is greater than or equal to a preset number. The main control platform then adjusts the lighting device's abnormality count in the sensing status update table to 0. The main control platform determines that a lighting device is abnormal if the last trigger time of a portion of the multiple associated lighting devices is within a preset time interval and the number of such portions is less than a preset number. The main control platform then increments the lighting device's abnormality count in the sensing status update table by 1. Furthermore, the sensing status update table also records the sensing sensitivity of each lighting device. The main control platform adjusts the lighting device's abnormality count to 0 if the lighting device's abnormality count in the sensing status update table is incremented by 1 and the lighting device's abnormality count equals the upper limit of abnormality. The main control platform then decrements the lighting device's sensing sensitivity by 1 if the lighting device's sensing sensitivity is not 1. Through this lighting device management mechanism based on the sensing status update table and the associated device table, the lighting control system can effectively lower the sensitivity of any lighting device if its microwave sensing function is abnormal due to self-excitation, thereby avoiding erroneous sensing signals. Therefore, the lighting control system can ensure the normal operation of the lighting system composed of these lighting devices to meet practical application requirements.

[0047] In addition, according to the first embodiment of the present application, the master platform of the lighting control system compares the last trigger time of the lighting device and the sensing state update table when performing abnormality detection on the lighting device, and judges whether the lighting device is normal or abnormal when judging whether the last trigger time of a part of the plurality of associated lighting devices is within a preset time interval and whether the number of the part is lower than a preset number. The center time point or the end time point of the preset time interval is the last trigger time of the lighting device. Therefore, the preset time interval is formed based on the time window of the last trigger time of the lighting device. The special time window mechanism provides the lighting control system with a basis for judging whether the lighting device is normal or abnormal, so that the microwave sensing abnormality detection function of the lighting control system can achieve high accuracy.

[0048] In addition, according to the first embodiment of the present application, the sensing state update table stored by the master platform of the lighting control system also records the distance check remaining time of each lighting device. The master platform refreshes the sensing state update table every unit time, and periodically performs abnormality detection on each lighting device according to the distance check remaining time of each lighting device. Through the above mechanism, the lighting control system can effectively manage all lighting devices, so that the lighting system can operate normally.

[0049] In addition, according to the first embodiment of the present application, the microwave sensing abnormality detection function of the lighting control system can ensure that the lighting system can operate normally, so that the lighting control system can be effectively applied to various intelligent systems, such as intelligent home systems, intelligent parking lot systems or other similar systems. Therefore, the lighting control system can be more widely applied, and can meet the development trend in the future.

[0050] In addition, according to the first embodiment of the present application, the lighting control system is simple in design, and the microwave sensing abnormality detection function can be realized through a simple and efficient mechanism. In this way, the lighting control system can achieve the desired effect without significantly increasing the cost, so that the practicability of the lighting control system is improved. Therefore, the lighting control system can meet the needs of different applications. As described above, the lighting control system with the microwave sensing abnormality detection function according to the embodiment of the present application can indeed achieve excellent technical effects.

[0051] Please refer to Figure 3 which is the first flowchart of the microwave sensing abnormality detection method of the lighting control system according to the second embodiment of the present application. As shown in the figure, the method comprises the following steps:

[0052] Step S31: Distribute a plurality of lighting devices in a target area, each lighting device is triggered to generate a sensing signal when sensing a moving object in the target area, and broadcast the sensing signal.

[0053] Step S32: The master platform stores a sensing state update table recording the last trigger time and the number of abnormalities of each lighting device, and an associated device table of each lighting device, which records a plurality of associated lighting devices associated with the lighting device in the physical space.

[0054] Step S33: The master platform compares the last trigger time and the associated device table of the lighting device with the sensing state update table when performing abnormality detection on any lighting device.

[0055] Step S34: The master platform determines that the lighting device is normal when the last trigger time of a part of the plurality of associated lighting devices is within a preset time interval and the number of the part is greater than or equal to a preset number, and adjusts the number of abnormalities of the lighting device in the sensing state update table to 0. The last trigger time of the lighting device is the center time point or the end time point of the preset time interval.

[0056] Please refer to Figure 4 , which is a second flowchart of the microwave sensing abnormality detection method of the lighting control system of the second embodiment of the present application. As shown in the figure, the method further includes the following steps:

[0057] Step S41: The master platform determines that the lighting device is abnormal when the last trigger time of a part of the plurality of associated lighting devices is within a preset time interval and the number of the part is less than a preset number, and adds 1 to the number of abnormalities of the lighting device in the sensing state update table.

[0058] Step S42: The sensing state update table records the sensing sensitivity of each lighting device; and the master platform adjusts the number of abnormalities of the lighting device in the sensing state update table to 0 when the number of abnormalities of the lighting device is equal to the upper limit of abnormalities, and reduces the sensing sensitivity of the lighting device by 1 when the sensing sensitivity of the lighting device is not 1.

[0059] Step S43: The sensing state update table records the sensing enabled state of each lighting device; and the master platform adjusts the sensing enabled state of the lighting device to 0 when the sensing sensitivity of the lighting device is 1, to turn off the microwave sensing function of the lighting device.

[0060] As described above, the microwave sensing abnormality detection function of the lighting control system 1 can ensure that the lighting system can operate normally, so that the lighting control system 1 can be effectively applied to various intelligent systems, such as intelligent home systems, intelligent parking lot systems or other similar systems. Therefore, the application of the lighting control system 1 can be more extensive, and can meet the trend of future development.

[0061] In addition, the lighting control system 1 is simple in design and can achieve the microwave-induced abnormality detection function through a simple and efficient mechanism. In this way, the lighting control system 1 can achieve the desired effect without significantly increasing the cost, thereby improving the practicability of the lighting control system 1. Therefore, the lighting control system 1 can indeed meet the needs of different applications.

[0062] Of course, the present embodiment is only used for illustration and not limit the scope of the present application, equivalent modifications or changes made according to the microwave-induced abnormality detection method of the lighting control system of the present embodiment should still be included in the patent scope of the present application.

[0063] Although the steps of the methods described in the present application are shown and described in a particular order, the order of the operations of each method can be changed, and certain steps can be performed in reverse order, or simultaneously with other steps. In another embodiment, not all steps can be implemented in an intermittent and / or alternating manner.

[0064] In summary, according to the first and second embodiments of the present application, the lighting control system comprises a plurality of lighting devices and a master control platform. The plurality of lighting devices are distributed in a target area. Each lighting device is triggered to generate a sensing signal when a moving object in the target area is sensed, and broadcasts the sensing signal. The master control platform performs abnormality detection for each lighting device, and stores a sensing state update table recording the last triggering time and the number of abnormalities of each lighting device, and an associated device table of each lighting device. The associated device table records a plurality of associated lighting devices associated with the lighting device in the physical space. When performing abnormality detection for any lighting device, the master control platform compares the last triggering time and the associated device table of the lighting device with the sensing state update table. When the last triggering time of a part of the plurality of associated lighting devices is within a preset time interval and the number of the part is greater than or equal to a preset number, the master control platform determines that the lighting device is normal. Then, the master control platform adjusts the number of abnormalities of the lighting device in the sensing state update table to 0. When the last triggering time of a part of the plurality of associated lighting devices is within a preset time interval and the number of the part is less than a preset number, the master control platform determines that the lighting device is abnormal. Then, the master control platform adds 1 to the number of abnormalities of the lighting device in the sensing state update table. In addition, the sensing state update table also records the sensing sensitivity of each lighting device. When the master control platform adds 1 to the number of abnormalities of the lighting device in the sensing state update table and the number of abnormalities of the lighting device is equal to an upper limit of abnormalities, the master control platform adjusts the number of abnormalities of the lighting device to 0. Then, the master control platform reduces the sensing sensitivity of the lighting device by 1 when the sensing sensitivity of the lighting device is not 1. Through the above lighting device management mechanism based on the sensing state update table and the associated device table, the lighting control system can effectively lower the sensitivity of any lighting device that causes abnormality of the microwave sensing function of the lighting device due to self-excitation, so as to avoid false sensing signals. Therefore, the lighting control system can ensure that the lighting system composed of the lighting devices can operate normally, so as to meet the requirements in actual applications.

[0065] In addition, according to the first and second embodiments of the present application, when performing abnormality detection for a lighting device, the master control platform of the lighting control system compares the last triggering time and the associated device table of the lighting device with the sensing state update table, and determines whether the lighting device is normal or abnormal by judging whether the last triggering time of a part of the plurality of associated lighting devices is within a preset time interval and the number of the part is less than a preset number. The center time point or the end time point of the preset time interval is t. Therefore, the preset time interval is formed based on the time window of the last triggering time of the lighting device. The above special time window mechanism provides a basis for the lighting control system to determine whether the lighting device is normal or abnormal, so that the microwave sensing abnormality detection function of the lighting control system can achieve high accuracy.

[0066] In addition, according to the first and second embodiments of the present application, the sensing state update table stored in the master platform of the lighting control system also records the distance check remaining time of each lighting device. The master platform refreshes the sensing state update table every unit time, and periodically performs abnormality detection on each lighting device according to the distance check remaining time of each lighting device. Through the above mechanism, the lighting control system can effectively manage all lighting devices, so that the lighting system can operate normally.

[0067] In addition, according to the first and second embodiments of the present application, the microwave sensing abnormality detection function of the lighting control system can ensure that the lighting system can operate normally, so that the lighting control system can be effectively applied to various intelligent systems, such as intelligent home systems, intelligent parking lot systems or other similar systems. Therefore, the application of the lighting control system can be more extensive, and can meet the future development trend.

[0068] Furthermore, according to the first and second embodiments of the present application, the lighting control system is simple in design, and the microwave sensing abnormality detection function can be realized through a simple and efficient mechanism. In this way, the lighting control system can achieve the desired effect without significantly increasing the cost, so that the practicability of the lighting control system is improved. Therefore, the lighting control system can meet the needs of different applications.

[0069] It should be noted that although the above embodiments have been described in this paper, the patent protection scope of the present application is not limited thereby. Therefore, based on the innovative idea of the present application, changes and modifications to the embodiments described in this paper, or equivalent structures or equivalent process transformations made using the contents of the present application specification and drawings, directly or indirectly apply the above technical solutions to other related technical fields, are all included in the protection scope of the present application patent.

Claims

1. A lighting control system with microwave induction anomaly detection function, characterized in that: include: A plurality of lighting devices are distributed in the target area, each of the lighting devices is triggered to generate a sensing signal when sensing a moving object in the target area, and broadcasts the sensing signal; as well as A main control platform, configured to store a sensing status update table recording the last triggering time and the number of abnormalities of each lighting device, and an associated device table for each lighting device, wherein the associated device table records a plurality of associated lighting devices that are physically associated with the lighting device; When the main control platform performs abnormality detection for any of the lighting devices, it compares the last trigger time of the lighting device and the associated device table with the sensing status update table. When the main control platform determines that the last trigger time of some of the multiple associated lighting devices is within a preset time interval and the number of the parts is greater than or equal to a preset number, it determines that the lighting device is normal, and the main control platform adjusts the number of abnormalities of the lighting device in the sensing status update table to 0.

2. The lighting control system with microwave induction anomaly detection function according to claim 1, characterized in that: The last triggering time of the lighting device is the center time point or the end time point of the preset time interval.

3. The lighting control system with microwave induction anomaly detection function according to claim 1, characterized in that: When the main control platform determines that the last trigger time of some of the multiple associated lighting devices is within the preset time interval and the number of the parts is lower than the preset number, the main control platform determines that the lighting device is abnormal, and the main control platform adds 1 to the number of abnormalities of the lighting device in the sensing status update table.

4. The lighting control system with microwave induction anomaly detection function according to claim 1, characterized in that: The sensing status update table also records the sensing sensitivity of each of the lighting devices. When the number of abnormalities of the lighting device in the sensing status update table is increased by 1 and the number of abnormalities of the lighting device is equal to the abnormal upper limit, the main control platform adjusts the number of abnormalities of the lighting device to 0, and when the sensing sensitivity of the lighting device is not 1, the main control platform subtracts the sensing sensitivity of the lighting device by 1.

5. The lighting control system with microwave induction anomaly detection function according to claim 4, characterized in that: The sensing state update table also records the sensing enable state of each lighting device. When the sensing sensitivity of the lighting device is 1, the main control platform adjusts the sensing enable state of the lighting device to 0 to turn off the microwave sensing function of the lighting device.

6. A microwave induction anomaly detection method for a lighting control system, characterized in that: include: Distributing a plurality of lighting devices in a target area, wherein each lighting device is triggered to generate a sensing signal when sensing a moving object in the target area, and broadcasting the sensing signal; The main control platform stores a sensing state update table recording the last triggering time and the number of abnormalities of each lighting device and an associated device table of each lighting device, wherein the associated device table records multiple associated lighting devices associated with the lighting device in a physical space; When performing abnormality detection for any of the lighting devices, the main control platform compares the last triggering time of the lighting device and the associated device table with the sensing state update table; as well as When the main control platform determines that the last trigger time of some of the multiple associated lighting devices is within a preset time interval and the number of the parts is greater than or equal to a preset number, the lighting device is judged to be normal, and the number of abnormalities of the lighting device in the sensing status update table is adjusted to 0.

7. The microwave induction anomaly detection method for a lighting control system according to claim 6, wherein: The last triggering time of the lighting device is the center time point or the end time point of the preset time interval.

8. The microwave induction anomaly detection method for a lighting control system according to claim 6, wherein: Also includes: The main control platform determines that the lighting device is abnormal when it determines that the last trigger time of some of the multiple associated lighting devices is within the preset time interval and the number of the parts is lower than the preset number, and adds 1 to the number of abnormalities of the lighting device in the sensing status update table.

9. The microwave induction anomaly detection method for a lighting control system according to claim 6, wherein: Also includes: Recording the sensing sensitivity of each of the lighting devices via the sensing status update table; as well as The main control platform adjusts the number of abnormalities of the lighting device to 0 when the number of abnormalities of the lighting device in the sensing status update table is increased by 1 and the number of abnormalities of the lighting device is equal to the abnormal upper limit, and reduces the sensing sensitivity of the lighting device by 1 when the sensing sensitivity of the lighting device is not 1.

10. The microwave induction anomaly detection method for a lighting control system according to claim 9, wherein: Also includes: The sensing state update table records the sensing enable state of each lighting device; as well as When the sensing sensitivity of the lighting device is set to 1, the main control platform adjusts the sensing enabled state of the lighting device to 0, so as to turn off the microwave sensing function of the lighting device.

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