Wireless lighting control method and control system

Abstract

The invention relates to the technical field of wireless lighting, and provides a wireless lighting control method and system, and the method comprises the steps: obtaining a wireless signal value of a wireless mobile terminal in real time, and obtaining the wireless signal intensity according to the wireless signal value; acquiring a signal intensity change rate and a wireless signal variance in a preset time window according to the wireless signal intensity; obtaining a basic signal intensity threshold value, and obtaining a real-time signal intensity threshold value according to the basic signal intensity threshold value, the signal intensity change rate and the wireless signal variance; and comparing the wireless signal intensity with the real-time signal intensity threshold value, and controlling the state of the lighting equipment according to the comparison result. According to the method, a dynamic signal strength threshold mechanism based on the signal strength change rate and the wireless signal variance is constructed by considering the wireless signal contrast representing the wireless signal fluctuation of the equipment and reflecting the environmental interference, the real-time signal strength threshold can be adaptively adjusted, the system robustness is improved, and the real-time performance of the system is improved. And frequent switching actions of the lighting switch are avoided.

Description

Technical Field

[0001] This invention relates to the field of wireless lighting technology, and more specifically, to a wireless lighting control method and control system. Background Technology

[0002] Currently, the control methods for lighting equipment in public places or office spaces can be broadly divided into two types: manual and automatic. One type of automatic control is through wireless signals to achieve intelligent control of the lighting equipment. Specifically, it can control and adjust the on / off status, brightness, color temperature, and saturation of the lighting equipment by receiving wireless signal commands sent by the user through a user terminal or by sensing parameters such as wireless signal strength. Wireless signal types include, but are not limited to, Bluetooth, ZigBee, and WiFi.

[0003] Existing technologies include methods that detect the signal strength emitted by a user's wireless mobile terminal and adjust the state of lighting equipment based on the wireless signal strength. For example, Chinese invention patent application number CN201410857154.2 discloses a wireless lighting control system and its method, which compares the signal strength emitted by the wireless signal transmitting terminal with a signal strength threshold and controls the on / off state of the lighting equipment based on the comparison result. In this wireless lighting control system and its method, the signal strength threshold is essentially a static threshold, which is prone to false triggering due to factors such as signal jitter. Especially when the user is in a critical area, it is easy to trigger erroneous operations, causing the lighting equipment to switch on and off frequently. The robustness of the system has room for optimization and improvement. Summary of the Invention

[0004] Therefore, in order to improve the robustness of the wireless lighting control system, this invention provides a wireless lighting control method and control system, the specific technical solution of which is as follows: A wireless lighting control method includes the following steps: The wireless signal value of the wireless mobile terminal is acquired in real time, and the wireless signal strength is obtained based on the wireless signal value. The rate of change of wireless signal strength and the variance of wireless signal within a preset time window are obtained based on the wireless signal strength. Obtain the basic signal strength threshold, and then obtain the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance. The system compares the wireless signal strength with the real-time signal strength threshold and controls the state of the lighting equipment based on the comparison result.

[0005] The wireless lighting control method acquires the signal strength change rate and the wireless signal variance within a preset time window. Then, it obtains a real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance. Finally, it controls the lighting device state based on the comparison between the wireless signal strength and the real-time signal strength threshold. This method takes into account the wireless signal fluctuations of the device and the wireless signal contrast that reflects environmental interference, and constructs a dynamic signal strength threshold mechanism based on the signal strength change rate and the wireless signal variance. This mechanism can adaptively adjust the real-time signal strength threshold, improve system robustness, and avoid frequent switching actions of the lighting switch.

[0006] Preferably, the control method further includes the following steps: The target user's current location is obtained based on the wireless signal strength, and the real-time distance between the target user and each lighting device is obtained based on the current location. The responsibility weight of each lighting device to the target user is obtained based on the real-time distance value; Implement the corresponding lighting equipment control strategy according to the responsibility weight; Among them, the distance value is negatively correlated with the responsibility weight.

[0007] Preferably, the control method further includes the following steps: When multiple users are in the same lighting area, obtain the priority of each user; Target users with the highest priority.

[0008] Preferably, the specific method for obtaining the real-time signal strength threshold includes the following steps: Obtain the first sensitivity coefficient corresponding to the rate of change of signal strength and the second sensitivity coefficient corresponding to the variance of wireless signal; The real-time signal strength threshold is obtained based on the basic signal strength threshold, the signal strength change rate, the wireless signal variance, the first sensitivity coefficient, and the second sensitivity coefficient.

[0009] Preferably, the specific method for obtaining the first sensitivity coefficient includes the following steps: Obtain the real-time distance value between the target user and the lighting equipment, and obtain the intensity of the movement trend based on the real-time distance value; Obtain the basic sensitivity coefficient and the target user's movement speed intensity. Based on the movement speed intensity and movement trend intensity, calibrate the basic sensitivity to obtain the first sensitivity coefficient. Among them, the first sensitivity coefficient is positively correlated with the intensity of movement speed and the intensity of movement trend.

[0010] Preferably, the real-time signal strength threshold ; in, These represent the basic signal strength threshold, wireless signal strength, and wireless signal variance, respectively. Indicates the rate of change of signal strength. These represent the first sensitivity coefficient and the second sensitivity coefficient, respectively.

[0011] A wireless lighting control system for implementing the aforementioned wireless lighting control method includes: The wireless signal acquisition module is used to acquire the wireless signal value of the wireless mobile terminal in real time and obtain the wireless signal strength based on the wireless signal value. The strength threshold acquisition module is used to obtain the signal strength change rate and the wireless signal variance within a preset time window based on the wireless signal strength, to obtain the basic signal strength threshold, and to obtain the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance. The control module is used to compare the wireless signal strength with the real-time signal strength threshold, and control the state of the lighting equipment based on the comparison result.

[0012] Preferably, the control module includes: The distance value acquisition unit is used to obtain the current location of the target user based on the wireless signal strength, and to obtain the real-time distance value between the target user and each lighting device based on the current location. The responsibility weight acquisition unit is used to acquire the responsibility weight of each lighting device to the target user based on the real-time distance value. The control strategy execution unit is used to execute the corresponding lighting equipment control strategy according to the responsibility weight; Among them, the distance value is negatively correlated with the responsibility weight.

[0013] Preferably, the control module further includes: The priority acquisition unit is used to acquire the priority of each user when multiple users are in the same lighting area; The target user acquisition unit is used to select the highest priority user as the target user.

[0014] Preferably, the intensity threshold acquisition module is based on the formula Obtain real-time signal strength threshold ; in, These represent the basic signal strength threshold, wireless signal strength, and wireless signal variance, respectively. Indicates the rate of change of signal strength. These represent the first sensitivity coefficient and the second sensitivity coefficient, respectively. Attached Figure Description

[0015] The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the drawings are not necessarily drawn to scale, but rather the emphasis is on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0016] Figure 1 This is a schematic diagram of the overall process of a wireless lighting control method according to an embodiment of the present invention; Figure 2 This is one of the overall flowcharts of a wireless lighting control method according to another embodiment of the present invention; Figure 3 This is a second schematic diagram of the overall process of a wireless lighting control method in another embodiment of the present invention; Figure 4 This is a flowchart illustrating a specific method for obtaining a real-time signal strength threshold in one embodiment of the present invention.

[0017] Figure 5 This is a flowchart illustrating the specific method for obtaining the first sensitivity coefficient according to the present invention; Figure 6 This is a schematic diagram of the overall structure of a wireless lighting control system according to an embodiment of the present invention; Figure 7 This is a functional structure diagram of the control module in one embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to its embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the scope of protection of the invention.

[0019] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly attached to the other element or there may be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or there may be an intervening element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only possible implementation.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0021] In this invention, "first" and "second" do not represent a specific quantity or order, but are merely used to distinguish names.

[0022] like Figure 1 As shown, an embodiment of the present invention provides a wireless lighting control method, which includes the following steps: S1 acquires the wireless signal value of the wireless mobile terminal in real time and obtains the wireless signal strength based on the wireless signal value.

[0023] Generally, wireless signals attenuate during propagation due to physical environmental factors, and their strength decreases with increasing distance. In other words, wireless signal strength is negatively correlated with propagation distance. By detecting the strength of the wireless signal emitted by a mobile terminal, the relative position between the mobile terminal and the lighting equipment can be determined. Assuming a controller capable of detecting the wireless signal strength of a mobile terminal is installed next to the lighting equipment, by acquiring and analyzing the signal strength, the rate of change in signal strength can be used to determine whether the mobile terminal is gradually approaching or moving away from the lighting equipment.

[0024] The wireless signals mentioned here include, but are not limited to, Bluetooth and WiFi signals. Since detecting and acquiring wireless signal strength is a standard technique in this field, it will not be elaborated upon further.

[0025] S2, obtain the rate of change of signal strength and the variance of wireless signal within a preset time window based on the RSSI.

[0026] User movement causes fluctuations in wireless signal strength. The faster the user moves, the more drastic the fluctuations and the greater the absolute value of the rate of change. Using decibels as the unit of wireless signal strength, assuming the rate of change is detected centered on a lighting device, the rate of change is positive as the user approaches the device and negative as the user moves away. Sudden electromagnetic interference in the environment can easily cause abrupt changes in wireless signal strength, leading to increased variance. Generally, when variance increases, the real-time signal strength threshold can be increased to reduce the probability of false triggers caused by environmental interference.

[0027] S3, obtain the basic signal strength threshold, and obtain the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance.

[0028] Specifically, a base signal strength threshold serves as a static calibration value, while the signal strength change rate and wireless signal variance are used to dynamically adjust the base signal strength threshold to obtain the real-time signal strength threshold. When a user approaches the lighting equipment, the real-time wireless signal strength emitted by the mobile terminal detected by the controller gradually increases. Therefore, the real-time signal strength threshold can be appropriately lowered based on the base signal strength threshold, or made equal to the base signal strength threshold, to activate the lighting earlier. When the user moves away from the lighting equipment, the real-time signal strength threshold can be appropriately lowered based on the base signal strength threshold to delay turning off the lighting equipment. When the user is stationary and environmental interference is low, i.e., when the signal strength change rate and wireless signal variance approach zero, the real-time signal strength threshold returns to the base signal strength threshold.

[0029] The basic signal strength threshold can be set based on experience, such as using the lowest or medium signal strength of the wireless mobile terminal as the basic signal strength threshold. For example, when the wireless signal is a Bluetooth signal and the signal strength range is -30dBm to -90dBm, -70dBm and -60dBm can be defined as basic signal strength thresholds. Of course, the basic signal strength threshold can also be calibrated experimentally. Specifically, for a certain type of wireless signal, multiple wireless signal strength values ​​emitted by different wireless terminal devices at a certain distance from the lighting equipment (such as 10 meters, 20 meters, or the radius of the lighting area of ​​the lighting equipment) are collected, and the average of the multiple wireless signal strength values ​​is taken as the basic signal strength threshold.

[0030] S4, compare the wireless signal strength with the real-time signal strength threshold, and control the state of the lighting device based on the comparison result. Here, controlling the state of the lighting device based on the comparison result includes: if the target user is near the lighting device, the lighting device is in the off state, and the wireless signal strength is not less than the real-time signal strength threshold, turn on the lighting device; if the target user is far away from the lighting device, the lighting device is in the on state, and the wireless signal strength is less than the real-time signal strength threshold, turn off the lighting device.

[0031] As a preferred technical solution, obtaining the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance specifically includes: The first step is to determine whether the user is approaching or moving away from the lighting equipment based on the rate of change in signal strength. Here, a Cartesian coordinate system can be constructed first, based on the space where the lighting equipment is located, and the coordinate information of the lighting equipment can be pre-calibrated. Then, multiple signal detection devices installed at different locations to detect the wireless signal strength of wireless mobile terminals are used to collect the wireless mobile signal strength. Based on the collected wireless signal strength, the real-time coordinate position of the wireless mobile terminal in the Cartesian coordinate system is obtained. Then, the real-time distance value is obtained based on the real-time coordinate position and the coordinate information of the lighting equipment. Finally, the trend of the change in the real-time distance value is used to determine whether the user is approaching or moving away from the lighting equipment.

[0032] The second step involves pre-mapping the corresponding signal strength threshold adjustment amount for different signal strength change rates and wireless signal variance based on the user's movement trend (whether moving closer to or away from the lighting device), and setting the corresponding first basic signal strength threshold and second basic signal strength threshold.

[0033] Specifically, when a user approaches the lighting device, a first mapping function can be constructed between the signal strength change rate and a first signal strength threshold adjustment amount, and a second mapping function can be constructed between the wireless signal variance and a second signal strength threshold adjustment amount. Based on the first and second mapping functions, the corresponding first and second signal strength threshold adjustments are calculated. Finally, a first base signal strength threshold is compensated and corrected based on the first and second signal strength threshold adjustments to obtain the real-time signal strength threshold. For example, the real-time signal strength threshold = first base signal strength threshold + first signal strength threshold adjustment amount + second signal strength threshold adjustment amount. If the lighting device is in the off state and the wireless signal strength is not less than the real-time signal strength threshold, the lighting device is turned on; otherwise, the lighting device remains off.

[0034] Here, the types of the first and second mapping functions include, but are not limited to, linear functions, piecewise functions, and exponential functions. The relevant parameters in the first and second mapping functions can be set by technicians based on experience or calibrated experimentally. Specific methods for experimental calibration include: based on a determined first basic signal strength threshold, using the coordinates of the lighting device as the center and a preset distance value (e.g., 25 meters or 30 meters) as the radius, have a user approach the lighting device at different speeds while holding a wireless mobile terminal. During this process, random environmental electromagnetic interference of a certain intensity is introduced, such as turning on a microwave oven and adjusting its power, turning on a wireless router and / or a fluorescent lamp ballast, etc. The moment the user steps onto the boundary of the circle is taken as the moment the lighting device is activated in advance, and the corresponding real-time wireless signal strength, signal strength change rate, and wireless signal variance are obtained. Thus, by obtaining multiple sets of real-time wireless signal strength, signal strength change rate, and wireless signal variance, and using the signal strength change rate and wireless signal variance as independent variables and the real-time signal strength threshold as the dependent variable, and making the real-time signal strength threshold equal to the real-time wireless signal strength, the mapping function can be fitted based on the multiple sets of real-time wireless signal strength, signal strength change rate, and wireless signal variance to calibrate the relevant parameters in the first mapping function and the second mapping function.

[0035] For example, the first mapping function can be expressed as The second mapping function can be expressed as .in, These represent the first signal strength threshold adjustment amount and the second signal strength threshold adjustment amount, respectively. These represent the rate of change of signal strength and the variance of the wireless signal, respectively. These are all adjustable parameters, which can be set based on experience or calibrated experimentally. At this point, the real-time signal strength threshold... Represented as . This represents the first basic signal strength threshold.

[0036] Similarly, when the user is away from the lighting equipment, a third mapping function can be constructed between the signal strength change rate and the third signal strength threshold adjustment, and a fourth mapping function can be constructed between the wireless signal variance and the fourth signal strength threshold adjustment. Based on the third and fourth mapping functions, the corresponding third and fourth signal strength threshold adjustments are calculated. Finally, the second basic signal strength threshold is compensated and corrected based on the third and fourth signal strength threshold adjustments to obtain the real-time signal strength threshold. For example, the real-time signal strength threshold = second basic signal strength threshold + third signal strength threshold adjustment + fourth signal strength threshold adjustment.

[0037] The types of the third and fourth mapping functions include, but are not limited to, linear functions, piecewise functions, and exponential functions. The relevant parameters in the third and fourth mapping functions can be set by technicians based on experience or calibrated experimentally. Specific methods for experimental calibration include: based on a determined second basic signal strength threshold, using the coordinates of the lighting equipment as the center and a preset distance value (e.g., 25 meters or 30 meters) as the radius, have the user hold a wireless mobile terminal and move away from the lighting equipment at different speeds. During this process, random environmental electromagnetic interference of a certain intensity is introduced, such as turning on a microwave oven and adjusting its power, turning on a wireless router and / or a fluorescent lamp ballast, etc. The moment the user leaves the circle boundary is taken as the delayed time to turn off the lighting equipment, and the corresponding real-time wireless signal strength, signal strength change rate, and wireless signal variance are obtained. Thus, by obtaining multiple sets of real-time wireless signal strength, signal strength change rate, and wireless signal variance, and using the signal strength change rate and wireless signal variance as independent variables and the real-time signal strength threshold as the dependent variable, and making the real-time signal strength threshold equal to the real-time wireless signal strength, the mapping function can be fitted based on multiple sets of real-time wireless signal strength, signal strength change rate, and wireless signal variance to calibrate the relevant parameters in the third and fourth mapping functions.

[0038] For example, the third mapping function can be expressed as The fourth mapping function can be expressed as .in, These represent the adjustment amounts for the third and fourth signal strength thresholds, respectively. These represent the rate of change of signal strength and the variance of the wireless signal, respectively. These are all adjustable parameters, which can be set based on experience or calibrated experimentally. At this point, the real-time signal strength threshold... Represented as . This represents the second basic signal strength threshold.

[0039] In this way, by setting different basic signal strength thresholds and signal strength threshold adjustment amounts for the two different movement states of the user approaching and moving away from the lighting equipment, the final real-time signal strength threshold can be more targeted, thereby improving the robustness of the system.

[0040] Since the variance of the wireless signal is positive and the basic signal strength threshold is negative, when sudden interference in the environment (such as multiple people moving, microwave oven interference, etc.) causes a sudden change in RSSI, the variance of the wireless signal increases accordingly. When the rate of change of signal strength tends to zero or small, the real-time signal strength threshold increases, which can avoid false triggering.

[0041] The wireless lighting control method acquires the signal strength change rate and the wireless signal variance within a preset time window. Then, it obtains a real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance. Finally, it controls the lighting device state based on the comparison between the wireless signal strength and the real-time signal strength threshold. This method takes into account the wireless signal fluctuations of the device and the wireless signal contrast that reflects environmental interference, and constructs a dynamic signal strength threshold mechanism based on the signal strength change rate and the wireless signal variance. This mechanism can adaptively adjust the real-time signal strength threshold, improve system robustness, and avoid frequent switching actions of the lighting switch.

[0042] In some existing wireless lighting control systems, when the lighting ranges of multiple lights overlap (such as in a corridor), there is often no dynamic division of responsibility areas. This can easily lead to multiple lighting devices responding to the same user at the same time, making it impossible to adapt to changes in the real-time path of the target user and lacking a collaborative control mechanism for multiple lighting devices.

[0043] To address the aforementioned problems, in one embodiment of the present invention, as follows: Figure 2 As shown, the control method further includes the following steps: S5 obtains the target user's current location based on the wireless signal strength, and obtains the real-time distance value between the target user and each lighting device based on the current location.

[0044] As described above, a Cartesian coordinate system can be constructed first based on the space where the lighting equipment is located, and the coordinate information of the lighting equipment can be pre-calibrated. Then, the wireless mobile signal strength can be collected by multiple signal detection devices installed at different locations to detect the wireless signal strength of the wireless mobile terminal. Based on the collected wireless signal strength, the real-time coordinate position of the wireless mobile terminal in the Cartesian coordinate system can be obtained. Then, the real-time distance value between the target user and the lighting equipment can be obtained based on the real-time coordinate position and the coordinate information of the lighting equipment.

[0045] Alternatively, a high-definition camera can be installed in the space where the lighting equipment is located. This camera can capture images of the area, and visual tracking technology can be used to obtain parameters such as the target user's real-time coordinates, velocity, acceleration, and trajectory. Since this is a conventional technique in this field, it will not be elaborated upon here. After obtaining the target user's real-time coordinates using visual tracking technology, the real-time distance between the target user and the lighting equipment can be calculated based on their coordinates.

[0046] S6: Obtain the responsibility weight of each lighting device to the target user based on the real-time distance value. The distance value is negatively correlated with the responsibility weight.

[0047] For example, according to the responsibility weight function Get the The weight of responsibility of each lighting device to the target user .in, represents the attenuation factor, exp() represents the natural exponential function, and N is the number of lighting devices that detected the target user's wireless signal. Indicates the target user up to the Real-time distance values ​​of each lighting device.

[0048] The method for obtaining N specifically includes: configuring a corresponding signal detection device for each lighting device, which detects the wireless signal strength emitted by the target user's wireless mobile terminal. If the wireless signal strength is greater than a certain value, such as -100dBm, then the lighting device is considered to have detected the target user. Alternatively, the total number of lighting devices within a preset radius, such as 30 meters or 35 meters, centered on the target user can be used as the number N of lighting devices that have detected the target user's wireless signal.

[0049] The attenuation factor is a positive real number, typically ranging from 0.05 to 2.0m. -2 The larger the value, the faster the weight decays with increasing distance, meaning only lighting devices very close to the target user will be activated. Conversely, the smaller the value, the more evenly the weight distribution, allowing lighting devices farther from the target user to receive a higher responsibility weight. This decay factor can be calibrated experimentally. For example, first obtain the radius value of a preset decay ratio Att for the responsibility weight of the lighting devices, such as 50%, 70%, or 80%, and then deduce the decay factor based on the radius value. Assuming the radius value is r, then the decay factor k = -ln(Att) / r. 2 .

[0050] The responsibility weight function is essentially a Gaussian function, which represents that the responsibility weight of the lighting equipment to the target user should decrease exponentially as the distance between the lighting equipment and the user increases. Its denominator is used for normalization to ensure that the responsibility weights are comparable, so that the responsibility weight of each lighting equipment is constrained within the interval [0,1], and the sum of the responsibility weights of all lighting equipment is 1.

[0051] S7 executes the corresponding lighting equipment control strategy according to the responsibility weight.

[0052] Specifically, the lighting control strategy includes: if at least one lighting device has a responsibility weight greater than a preset maximum responsibility weight threshold, such as 0.7 or 0.8, the lighting device with the highest responsibility weight responds and controls the on / off state of the lighting devices based on the comparison result. For example, if the responsibility weight of the lighting device directly above the target user is 0.85, and the responsibility weights of other lighting devices are all less than 0.15, then the lighting device closest to the target user is turned on; if the highest responsibility weight among all lighting devices is within a preset responsibility weight range, such as [0.4, 0.7] or [0.5-0.8], then multiple lighting devices with the highest responsibility weights (such as two or three) are controlled by the system. The lighting devices are dimmed according to a ratio positively correlated with their responsibility weights. For example, if the target user is in the transition zone between two lighting devices with responsibility weights of 0.6 and 0.4 respectively, the brightness of the lighting device with a responsibility weight of 0.6 can be set to 60% of the set brightness value, and the brightness of the lighting device with a responsibility weight of 0.4 can be set to 40% of the set brightness value. If the largest responsibility weight of all lighting devices is less than the preset minimum responsibility weight threshold, such as 0.4, only the two or three lighting devices with the highest responsibility weights can be activated. This ensures a certain level of lighting brightness while avoiding energy waste caused by too many lighting devices responding simultaneously.

[0053] Preferably, when the wireless signal jitter is large, the attenuation factor can be increased by a certain proportion to avoid multiple lighting devices being falsely triggered. For example, the standard deviation and average wireless signal strength value of the wireless signal strength can be obtained first, and the attenuation factor calibrated through experiments can be amplified by a certain proportion based on the ratio between the standard deviation and the average wireless signal strength value. For example, the amplified attenuation factor = experimentally calibrated attenuation factor × (1 + 0.2 × (standard deviation of wireless signal strength / average wireless signal strength value)).

[0054] In summary, this responsibility weight function model can prioritize the activation of lighting devices closest to the user by dynamically allocating lighting responsibility weights, thereby reducing the energy consumption of distant lighting devices and achieving the goal of energy conservation. When the target user moves in an overlapping area covered by multiple lighting devices, the lighting responsibility is smoothly transferred according to the weight changes, which can avoid sudden changes in illumination. In addition, it can automatically adapt to different spatial layouts (such as corridors, halls, etc.) without the need for manual pre-setting of lighting device groups.

[0055] In traditional wireless lighting control systems, when multiple users enter the same area with different wireless mobile terminals, there is often a lack of an operation priority arbitration mechanism, making it difficult to apply to multi-user scenarios.

[0056] To address the aforementioned problems, in one embodiment of the present invention, as follows: Figure 3 As shown, the control method further includes the following steps: S8: When multiple users are in the same lighting area, obtain the priority of each user.

[0057] Regarding the priority, predefined multi-dimensional decision parameters corresponding to the user can be obtained first, and then the user's priority value can be obtained based on the weighted value or weighted average of the multi-dimensional decision parameters. These multi-dimensional decision parameters are related to the priority and include, but are not limited to, the distance between the user and the lighting equipment and the frequency of interaction between the user and the lighting equipment. Thus, obtaining user priority through multi-dimensional decision parameters avoids the limitations of relying on a single parameter.

[0058] For example, the following parameters can be obtained first: the real-time distance value d between the user and the lighting equipment; the number of times the user appeared in the lighting area during a preset time period (e.g., 7 days or half a month) N1; and the number of times the user actively operated the lighting system (e.g., in the last half hour or 1 hour) N2 (e.g., manually adjusting the brightness or switching on / off of a lighting device via a wireless mobile terminal). Then, the weighted value of the real-time distance value, the number of occurrences N1, and the number of operations N2 can be calculated to obtain the user's priority. Priority = (a1 / d) + (a2×N1) + (a3×N2). Here, a1, a2, and a3 are weighting parameters that can be adjusted according to actual needs.

[0059] S9 targets users with the highest priority.

[0060] Within the same area, the system prioritizes the user with the highest priority as the target user and responds to that user to avoid frequent lighting adjustments or resource waste caused by conflicting user commands. When the target user leaves the lighting area, the system automatically switches to the next highest priority user and updates the target user to avoid sudden changes in lighting.

[0061] In one embodiment of the present invention, such as Figure 4 As shown, the specific method for obtaining the real-time signal strength threshold in step S3 includes the following steps: S31, obtain the first sensitivity coefficient corresponding to the rate of change of signal strength and the second sensitivity coefficient corresponding to the variance of wireless signal.

[0062] S32, obtain the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, the wireless signal variance, the first sensitivity coefficient, and the second sensitivity coefficient.

[0063] In this embodiment, the same real-time signal strength threshold function is used uniformly when a user approaches or moves away from the lighting device to reduce computational complexity and simplify the system. Generally, to achieve early activation of the lighting device when a user approaches or delayed shutdown when a user moves away, the real-time signal strength threshold can be appropriately lowered when the user approaches or moves away, and appropriately increased when environmental interference is strong to avoid false triggering. Therefore, the real-time signal strength threshold, obtained based on the basic signal strength threshold, signal strength change rate, wireless signal variance, first sensitivity coefficient, and second sensitivity coefficient, can be expressed as follows: .in, These represent the first sensitivity coefficient and the second sensitivity coefficient, respectively, both of which are greater than zero. These represent the basic signal strength threshold, wireless signal strength, and wireless signal variance, respectively. This represents the rate of change of signal strength.

[0064] Specifically, the signal propagation path loss model is as follows: .in, This represents the reference signal strength at 1 meter, meaning the signal strength is equal to or greater than the signal strength when the distance between the transmitter and receiver is 1 meter. As a baseline value, it is typically used to calibrate signal strength at close range. n represents the path loss exponent, describing the rate at which signal strength decreases with distance. The value of n varies in different environments; it is generally 2 in free space and between 3 and 5 in complex environments. This represents random environmental noise, used to indicate the impact of various unpredictable interferences on signal strength in a real-world environment, such as interference from other wireless devices, multipath effects, etc. This indicates the actual distance between the transmitter and receiver, usually measured in meters. This indicates a reference distance, usually taken as 1 meter. This is when the actual distance between the transmitter and receiver is At that time, the strength of the wireless signal received by the receiving end. This demonstrates the law that the signal attenuates as the distance d increases. By performing logarithmic operations, the change in distance is transformed into a linear attenuation of signal strength (because of the properties of logarithms, an exponential change in distance corresponds to a linear change in signal strength). Multiplying by 10 is because path loss is usually measured in decibels (dB).

[0065] Generally speaking, the greater the actual distance between the transmitter and receiver, the lower the strength of the wireless signal received by the receiver. By differentiation, we can obtain Here, That is, the user's moving speed. Therefore, the rate of change of signal strength is directly proportional to the user's speed and inversely proportional to the current distance.

[0066] Of course, the rate of change of signal strength can also be obtained through... Calculated This represents the sampling time interval, typically 0.1 seconds. The signal strength change rate is positive when the user approaches the lighting equipment, negative when the user moves away, and approximately 0 when the user remains stationary.

[0067] More specifically, the base signal strength threshold represents the default trigger threshold under no special scenarios (no significant movement, no strong interference), and is the fundamental term of the function. The signal strength change rate reflects the relative speed and direction of movement between the user and the lighting equipment; the signal strength change rate is greater than 0 when the user approaches, and greater than 0 when the user moves away. Taking the absolute value of the signal strength change rate only characterizes the degree of change, and is independent of direction. To achieve early activation when the user approaches and delayed shutdown when the user moves away, the threshold needs to be lowered. Therefore, by... This is so that the greater the rate of change in signal strength and the more drastic the user's movement, the more the threshold is reduced, thus enabling earlier activation or delayed shutdown.

[0068] The variance of a wireless signal reflects the intensity of environmental interference; the larger the variance, the more severe the interference and the more pronounced the signal fluctuations. The standard deviation (SCD) characterizes the amplitude of interference fluctuations. To avoid false triggering caused by environmental interference, the real-time signal strength threshold needs to be increased when interference is strong, thereby increasing the difficulty of triggering. Therefore, the following approach is adopted: This means that the greater the variance of the wireless signal, the higher the real-time signal strength threshold becomes, thereby filtering out false triggers caused by interference.

[0069] Based on the goal of achieving intelligent triggering and anti-interference in mobile scenarios, this invention combines the basic signal strength threshold, signal strength change rate, wireless signal variance, first sensitivity coefficient, and second sensitivity coefficient through mathematical terms to finally obtain the real-time signal strength threshold expression.

[0070] The first sensitivity coefficient and the second sensitivity coefficient can be set based on experience or calibrated experimentally. For example, the first sensitivity coefficient and the second sensitivity coefficient can be calibrated based on the real-time signal strength threshold function when the user approaches the lighting device, and then the first sensitivity coefficient and the second sensitivity coefficient can be calibrated when the user moves away from the lighting device. The weighted average of the first sensitivity coefficient and the weighted average of the second sensitivity coefficient obtained from the two calibrations can be taken as the final first sensitivity coefficient and the second sensitivity coefficient, respectively.

[0071] After obtaining the real-time signal strength threshold, the state of the lighting equipment can be controlled based on the comparison results: if the target user is close to the lighting equipment, the lighting equipment is in the off state, and the wireless signal strength is not less than the real-time signal strength threshold, the lighting equipment is turned on; if the target user is far away from the lighting equipment, the lighting equipment is in the on state, and the wireless signal strength is less than the real-time signal strength threshold, the lighting equipment is turned off.

[0072] As a preferred technical solution, such as Figure 5 As shown, the specific method for obtaining the first sensitivity coefficient in step S31 includes the following steps: S311, obtain the real-time distance value between the target user and the lighting equipment, and obtain the movement trend intensity based on the real-time distance value.

[0073] S312, obtain the basic sensitivity coefficient and the target user's movement speed intensity, calibrate the basic sensitivity based on the movement speed intensity and movement trend intensity, and obtain the first sensitivity coefficient; wherein, the first sensitivity coefficient is positively correlated with the movement speed intensity and movement trend intensity.

[0074] The basic sensitivity coefficient can be set based on experience, or it can be based on a real-time signal strength threshold function. The first sensitivity coefficient is calibrated when the user approaches the lighting equipment, and then the first sensitivity coefficient is calibrated when the user moves away from the lighting equipment. The weighted average of the first sensitivity coefficients obtained from the two calibrations is then used to obtain the result.

[0075] The movement trend intensity includes, but is not limited to, the speed at which the target user approaches or moves away from the lighting equipment, the intensity of the target user's intention to approach or move away from the lighting equipment, or the probability of the path. The method for obtaining the movement trend intensity based on real-time distance values ​​includes: obtaining the actual displacement of the target user relative to the lighting equipment within a preset time width based on the real-time distance value, and obtaining the movement trend intensity based on the ratio between the actual displacement and the preset time width. Specifically, a movement trend baseline value can be set first, and then the movement trend intensity can be obtained based on the ratio of this baseline value to the movement trend baseline value, i.e., movement trend intensity ∝ (actual displacement / preset time width).

[0076] When a target user approaches or moves away from a lighting device, the faster their speed, the greater their actual displacement per unit time, and the stronger their movement trend becomes. To some extent, this means that the user is rapidly approaching or moving away from the lighting device. Therefore, the system can respond quickly by increasing the first sensitivity coefficient.

[0077] The method for obtaining the movement speed intensity of a target user includes: first, obtaining the real-time coordinate position of the target user; second, obtaining the real-time movement speed based on the real-time coordinate position; third, obtaining the instantaneous movement acceleration based on the real-time movement speed; and finally, obtaining the movement speed intensity by using the absolute value of this instantaneous movement acceleration or the ratio between the absolute value of the instantaneous movement acceleration and a preset movement acceleration benchmark value, i.e., movement speed intensity ∝ absolute value of instantaneous movement acceleration. Specifically, when the target user suddenly accelerates or decelerates, it to some extent indicates that the user's movement intention may be strengthening (e.g., starting from a standstill or suddenly changing direction), therefore the system can respond quickly by increasing the first sensitivity coefficient.

[0078] It should be noted that when the actual moving speed or instantaneous acceleration of the target user is very large, the target user may be moving along the boundary of the lighting area, which does not necessarily mean that the target user is rapidly approaching or moving away from the lighting equipment. By acquiring the intensity of the moving speed and the intensity of the moving trend, and combining the intensity of the moving speed and the intensity of the moving trend to calibrate the basic sensitivity, a first sensitivity coefficient is obtained. The purpose is to dynamically adjust the system sensitivity according to the target user's movement state as they approach or move away from the lighting equipment. When the target user is rapidly approaching or moving away from the lighting equipment, the first sensitivity coefficient can be amplified to make the final control command stronger, such as turning on the lighting equipment earlier or to a greater extent, or adjusting the brightness. In this way, the system can better adapt to rapidly moving target users.

[0079] After obtaining the movement speed intensity and movement trend intensity, the basic sensitivity can be calibrated based on these intensities. For example, the movement speed intensity and movement trend intensity can be first made dimensionless, and then the product of the movement speed intensity and movement trend intensity, or the weighted sum of the movement speed intensity and movement trend intensity, can be recorded as the calibration factor. Finally, the basic sensitivity is calibrated based on the calibration factor and the preset calibration reference value. The preset calibration reference value can be set empirically. When the calibration factor is greater than the preset calibration reference value, it can be interpreted as the target user rapidly and urgently approaching or moving away from the lighting equipment.

[0080] For example, suppose the calibration factor is denoted as The calibration reference value is denoted as The baseline sensitivity is denoted as The first sensitivity coefficient is then expressed as .in, These represent the sensitivity change rate and the maximum sensitivity amplification factor, respectively. The sensitivity change rate is used to adjust the sensitivity of the first sensitivity coefficient to the adjustment calibration factor, i.e., the steepness of the adjustment function curve. The larger the value, the more obvious the calibration effect on the basic sensitivity for the same calibration factor. It is generally between 0.8 and 1.2. The maximum sensitivity amplification factor can be set empirically. For example, when it is set to 2, the first sensitivity coefficient obtained after calibration will be at most twice the basic sensitivity.

[0081] At times, the rate of change of signal strength term and signal variance term In certain scenarios, conflicts can arise. For example, when signal strength changes drastically and noise interference (i.e., signal variance) is also large, the superposition of these two factors can cause drastic fluctuations in the real-time signal strength threshold. When the user moves slowly, the rate of change of signal strength is approximately 0, and in this case, a high-noise environment (large signal variance) will excessively raise the threshold, causing response delay. Therefore, to improve system stability, in one embodiment, the wireless lighting control method further includes quantifying the competitive relationship between the target user's motion state and environmental noise interference based on the rate of change of signal strength and the magnitude of signal variance, and performing nonlinear suppression on the first sensitivity coefficient and the second sensitivity coefficient.

[0082] For example, in scenarios with high signal intensity change rate and low signal variance, the magnitude of the first sensitivity coefficient can be maintained while the magnitude of the second sensitivity coefficient can be suppressed, and in scenarios with low signal intensity change rate and high signal variance, the magnitude of the second sensitivity coefficient can be maintained while the magnitude of the first sensitivity coefficient can be suppressed. Specifically, based on experience, three signal strength change rate ranges and three signal variance ranges are preset: low, medium, and high. If the signal strength change rate is in the high-level range and the signal variance is in the low-level range, the first sensitivity coefficient remains unchanged, and the second sensitivity coefficient is set to zero for complete suppression, fully responding to the high-speed movement of the target user and ignoring background noise. If the signal strength change rate is in the low-level range and the signal variance is in the high-level range, the second sensitivity coefficient remains unchanged, and the first sensitivity coefficient is set to zero for complete suppression, ignoring the movement of the target user, strengthening environmental noise suppression, and preventing false triggering due to environmental interference. If both the signal strength change rate and the signal variance are in the low, medium, or high-level ranges, no adjustment or suppression processing is performed on the first and second sensitivity coefficients. In other cases, the sensitivity coefficients corresponding to higher-level parameters (signal strength change rate or signal variance) are appropriately amplified, and the sensitivity coefficients corresponding to lower-level parameters are appropriately reduced for suppression.

[0083] For example, according to the formula Obtaining nonlinear inhibition factor Then, the first sensitivity coefficient and the second sensitivity coefficient are adjusted according to the nonlinear inhibition factor to obtain the adjusted first sensitivity coefficient. and the adjusted second sensitivity coefficient The hyperbolic tangent function is used to ensure a smooth transition. For a very small constant such as 10 -6 It is mainly used to prevent division by zero errors. These represent the first sensitivity coefficient and the second sensitivity coefficient before adjustment, respectively.

[0084] In this way, by dynamically quantifying the competitive relationship between the target user's motion state and environmental interference noise, the conflict between the target user's movement and environmental noise interference can be resolved to a certain extent, further improving the system stability.

[0085] like Figure 6 As shown, an embodiment of the present invention also provides a wireless lighting control system for implementing the wireless lighting control method, including a wireless signal acquisition module, an intensity threshold acquisition module, and a control module.

[0086] The wireless signal acquisition module is used to acquire the wireless signal value of the wireless mobile terminal in real time and obtain the wireless signal strength based on the wireless signal value; the strength threshold acquisition module is used to obtain the signal strength change rate and the wireless signal variance within a preset time window based on the wireless signal strength, obtain the basic signal strength threshold, and obtain the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance; the control module is used to compare the wireless signal strength with the real-time signal strength threshold and control the state of the lighting equipment based on the comparison result.

[0087] For example, the intensity threshold acquisition module is based on the formula Obtain real-time signal strength threshold ;in, These represent the basic signal strength threshold, wireless signal strength, and wireless signal variance, respectively. Indicates the rate of change of signal strength. These represent the first sensitivity coefficient and the second sensitivity coefficient, respectively.

[0088] In this embodiment, the same real-time signal strength threshold function is used uniformly when the user approaches or moves away from the lighting equipment to reduce computational complexity and simplify the system. The first and second sensitivity coefficients can be set empirically or calibrated experimentally.

[0089] The following steps are provided for calibrating the first and second sensitivity coefficients experimentally.

[0090] The first step is to set up the experimental environment. Select three representative typical scenarios, such as an open corridor, an office with obstacles, and a conference room with interference from multiple devices; deploy at least five lighting device nodes in each scenario, with each node containing a detection module and a control module, and the node spacing is 5-8 meters; prepare three mainstream mobile phones, including different brands and models, such as iPhone, Huawei, and Xiaomi, and ensure that they support Bluetooth 5.0 and WiFi.

[0091] The second step is to collect data.

[0092] First, the tester walked in different motion modes, including walking along a preset path at speeds of 0.8 m / s or 1.2 m / s, and recorded the RSSI time series captured by each lighting device node; walked at random speeds (0.4-1.5 m / s) to simulate speed changes in a real scene; and stayed near the detection boundary of the lighting device node, such as in an area where RSSI ≈ -70 dBm, for several minutes, such as 2 minutes, and recorded signal fluctuations.

[0093] Next, interference tests were conducted. Devices such as microwave ovens and wireless routers were turned on to create interference in the 2.4GHz band, and additional personnel were arranged to walk around the test area to simulate a multi-person environment.

[0094] Finally, the RSSI of the wireless signal strength is collected and recorded once at a certain sampling frequency, such as 10Hz, and each test scenario is repeated no less than 10 times.

[0095] The third step is to process and analyze the data. This involves calculating the rate of change of signal strength and the variance of the wireless signal, and manually marking the timing at which the lighting equipment should respond at each test moment, such as when a user enters the lit area.

[0096] The third step is to define the optimization objective. The optimization objective can be set according to the actual situation. One optimization objective can be set as minimizing the weighted value of the missed trigger rate, response latency, and false trigger rate as the loss function. Based on the loss function and the collected experimental data, iterative optimization is performed, such as iterating 200 times to minimize the loss function and obtain the first sensitivity coefficient and the second sensitivity coefficient.

[0097] Because different scenarios and environments have different characteristics, a corresponding first sensitivity coefficient and a second sensitivity coefficient can be matched for each type of scenario. Based on this, the experimentally calibrated first sensitivity coefficient can be used as the base sensitivity. Then according to the function Obtain the final first sensitivity coefficient. Here, exp() represents the natural exponential function.

[0098] After obtaining the real-time signal strength threshold, the state of the lighting equipment can be controlled based on the comparison results: if the target user is close to the lighting equipment, the lighting equipment is in the off state, and the wireless signal strength is not less than the real-time signal strength threshold, the lighting equipment is turned on; if the target user is far away from the lighting equipment, the lighting equipment is in the on state, and the wireless signal strength is less than the real-time signal strength threshold, the lighting equipment is turned off.

[0099] The wireless lighting control system acquires the signal strength change rate and the wireless signal variance within a preset time window. Then, it obtains the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance. Finally, it controls the lighting equipment state based on the comparison between the wireless signal strength and the real-time signal strength threshold. It takes into account the wireless signal fluctuations of the equipment and the wireless signal contrast that reflects environmental interference, and constructs a dynamic signal strength threshold mechanism based on the signal strength change rate and the wireless signal variance. This mechanism can adaptively adjust the real-time signal strength threshold, improve the system robustness, and avoid frequent switching actions of the lighting switch.

[0100] In one embodiment, such as Figure 7 As shown, the control module includes a distance value acquisition unit, a responsibility weight acquisition unit, and a control strategy execution unit.

[0101] The distance value acquisition unit is used to obtain the current location of the target user based on the wireless signal strength, and to obtain the real-time distance value between the target user and each lighting device based on the current location; the responsibility weight acquisition unit is used to obtain the responsibility weight of each lighting device to the target user based on the real-time distance value; the control strategy execution unit is used to execute the corresponding lighting device control strategy based on the responsibility weight; wherein, the distance value and the responsibility weight are negatively correlated.

[0102] For example, according to the function Get the The weight of responsibility of each lighting device to the target user .in, represents the attenuation factor, exp() represents the natural exponential function, and N is the number of lighting devices that detected the target user's wireless signal. Indicates the target user up to the Real-time distance values ​​of each lighting device.

[0103] This responsibility weight function model dynamically allocates lighting responsibility weights, which can prioritize the activation of lighting devices closest to the user and reduce the energy consumption of distant lighting devices, thus achieving the goal of energy saving. When the target user moves in an overlapping area covered by multiple lighting devices, the lighting responsibility is smoothly transferred according to the weight changes, which can avoid sudden changes in illumination. In addition, it can automatically adapt to different spatial layouts (such as corridors, halls, etc.) without the need for manual pre-setting of lighting device groups.

[0104] In one embodiment, the control module further includes a priority acquisition unit and a target user acquisition unit.

[0105] The priority acquisition unit is used to acquire the priority of each user when multiple users are in the same lighting area; the target user acquisition unit is used to select the user with the highest priority as the target user.

[0106] Within the same area, the system prioritizes the user with the highest priority as the target user and responds to that user to avoid frequent lighting adjustments or resource waste caused by conflicting user commands. When the target user leaves the lighting area, the system automatically switches to the next highest priority user and updates the target user to avoid sudden changes in lighting.

[0107] The technical features of the embodiments described can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0108] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A wireless lighting control method, characterized in that, The control method includes the following steps: The wireless signal value of the wireless mobile terminal is acquired in real time, and the wireless signal strength is obtained based on the wireless signal value. The rate of change of wireless signal strength and the variance of wireless signal within a preset time window are obtained based on the wireless signal strength. Obtain the basic signal strength threshold, and then obtain the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance. The system compares the wireless signal strength with the real-time signal strength threshold and controls the state of the lighting equipment based on the comparison result.

2. The wireless lighting control method as described in claim 1, characterized in that, The control method further includes the following steps: The target user's current location is obtained based on the wireless signal strength, and the real-time distance between the target user and each lighting device is obtained based on the current location. The responsibility weight of each lighting device to the target user is obtained based on the real-time distance value; Implement the corresponding lighting equipment control strategy according to the responsibility weight; Among them, the distance value is negatively correlated with the responsibility weight.

3. The wireless lighting control method as described in claim 2, characterized in that, The control method further includes the following steps: When multiple users are in the same lighting area, obtain the priority of each user; Target users with the highest priority.

4. The wireless lighting control method as described in claim 3, characterized in that, The specific method for obtaining the real-time signal strength threshold includes the following steps: Obtain the first sensitivity coefficient corresponding to the rate of change of signal strength and the second sensitivity coefficient corresponding to the variance of wireless signal; The real-time signal strength threshold is obtained based on the basic signal strength threshold, the signal strength change rate, the wireless signal variance, the first sensitivity coefficient, and the second sensitivity coefficient.

5. The wireless lighting control method as described in claim 4, characterized in that, The specific method for obtaining the first sensitivity coefficient includes the following steps: Obtain the real-time distance value between the target user and the lighting equipment, and obtain the intensity of the movement trend based on the real-time distance value; Obtain the basic sensitivity coefficient and the target user's movement speed intensity. Based on the movement speed intensity and movement trend intensity, calibrate the basic sensitivity to obtain the first sensitivity coefficient. Among them, the first sensitivity coefficient is positively correlated with the intensity of movement speed and the intensity of movement trend.

6. The wireless lighting control method as described in claim 5, characterized in that, The real-time signal strength threshold ; in, These represent the basic signal strength threshold, wireless signal strength, and wireless signal variance, respectively. Indicates the rate of change of signal strength. These represent the first sensitivity coefficient and the second sensitivity coefficient, respectively.

7. A wireless lighting control system for implementing the wireless lighting control method as described in any one of claims 1-6, characterized in that, The control system includes: The wireless signal acquisition module is used to acquire the wireless signal value of the wireless mobile terminal in real time and obtain the wireless signal strength based on the wireless signal value. The strength threshold acquisition module is used to obtain the signal strength change rate and the wireless signal variance within a preset time window based on the wireless signal strength, to obtain the basic signal strength threshold, and to obtain the real-time signal strength threshold based on the basic signal strength threshold, the signal strength change rate, and the wireless signal variance. The control module is used to compare the wireless signal strength with the real-time signal strength threshold, and control the state of the lighting equipment based on the comparison result.

8. A wireless lighting control system as described in claim 7, characterized in that, The control module includes: The distance value acquisition unit is used to obtain the current location of the target user based on the wireless signal strength, and to obtain the real-time distance value between the target user and each lighting device based on the current location. The responsibility weight acquisition unit is used to acquire the responsibility weight of each lighting device to the target user based on the real-time distance value. The control strategy execution unit is used to execute the corresponding lighting equipment control strategy according to the responsibility weight; Among them, the distance value is negatively correlated with the responsibility weight.

9. A wireless lighting control system as described in claim 8, characterized in that, The control module also includes: The priority acquisition unit is used to acquire the priority of each user when multiple users are in the same lighting area; The target user acquisition unit is used to select the highest priority user as the target user.

10. A wireless lighting control system as described in claim 9, characterized in that, The intensity threshold acquisition module is based on the formula Obtain real-time signal strength threshold ; in, These represent the basic signal strength threshold, wireless signal strength, and wireless signal variance, respectively. Indicates the rate of change of signal strength. These represent the first sensitivity coefficient and the second sensitivity coefficient, respectively.

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