Urban Lighting Control Method, System and Storage Medium Based on Distributed Illuminance

Abstract

The present application discloses an urban lighting control method, system and storage medium based on distributed illuminance; the method includes: dividing a preset lighting area of a city, collecting the illuminance and meteorological data of each lighting sub-area; analyzing the illuminance data and generating a real-time illuminance field of the city; comparing whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the corresponding area to determine the lighting sub-areas to be regulated, and distinguishing the adjacent or independent lighting sub-areas among them; for each independent lighting sub-area, correspondingly generating a first regulation instruction to complete the adjustment of the illuminance of the lighting sub-area; clustering the adjacent lighting sub-areas and determining the linkage area; using an illuminance compensation neural network model to obtain the illuminance compensation value of adjacent areas within the linkage area; using a multi-objective optimization algorithm to obtain a lighting adjustment scheme for the linkage area and generating a second regulation instruction to complete the lighting adjustment control of the linkage area. The present application can achieve refined management of urban lighting.

Description

Technical Field

[0001] This application relates to the technical field of urban lighting control, and specifically relates to an urban lighting control method, system, and storage medium based on distributed illuminance. Background Art

[0002] In recent years, the smart city lighting management system has developed rapidly. Through the application of intelligent control technology, it not only improves the overall image of the city but also effectively reduces energy consumption. Traditional urban lighting control methods mainly rely on manual intervention or simple timed switching. With the progress of information technology, intelligent lighting control systems based on sensor networks have gradually become a research hotspot. Such systems achieve dynamic regulation of lighting equipment by real-time monitoring of the illuminance and other environmental parameters in various areas of the city, thereby achieving the goals of energy conservation and improving lighting quality.

[0003] To achieve more precise lighting control, two main solutions are usually adopted in the prior art: one is timed switching control, and the other is illuminance control based on a central node sensor. Timed switching control is to control the turning on and off of street lights through a preset schedule. This method is simple and easy to implement, but it cannot adapt to the natural light changes in different seasons and weather conditions. Another common method is to install sensors in the central area of the city, and the data collected by these sensors are used to determine the lighting state of the entire city, achieving automated control to a certain extent.

[0004] However, both of the above methods have certain limitations. Timed switching control cannot flexibly respond to the changes in natural light, easily causing waste of lighting resources. And due to insufficient sensor deployment, the control strategy based on the central node sensor is difficult to accurately reflect the illuminance conditions in a large area, affecting the refinement of regulation. Therefore, how to achieve more efficient energy management and more precise lighting control while ensuring the lighting effect has become an urgent technical problem to be solved. Summary of the Invention

[0005] In order to respond to the changes in the local light intensity, complete lighting regulation in a timely and accurate manner, avoid energy waste, and achieve refined management of urban lighting, this application provides an urban lighting control method, system, and storage medium based on distributed illuminance.

[0006] In the first aspect, this application provides an urban lighting control method based on distributed illuminance, including:

[0007] Dividing the urban lighting area range, and deploying illuminance sensors and meteorological sensors inside each divided lighting sub-area to collect and obtain the illuminance data and meteorological data of each lighting sub-area;

[0008] Analyze the illuminance data of each lighting sub-region collected by using big data analysis algorithms to generate a real-time urban illuminance field;

[0009] Monitor the generated real-time urban illuminance field, compare whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region's illuminance. The preset illuminance threshold of each region's illuminance is dynamically matched and adjusted according to different time periods and climate data; Obtain the lighting sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region's illuminance, and record them as the lighting sub-regions to be regulated. Statistically distinguish the adjacent lighting sub-regions and independent lighting sub-regions among all the lighting sub-regions to be regulated; The illuminance of each lighting sub-region refers to the average illuminance;

[0010] For each independent lighting sub-region, generate a first regulation instruction correspondingly to make the lighting equipment in the lighting sub-region adjust the illuminance of the lighting sub-region to the preset illuminance threshold of the corresponding region's illuminance according to the first regulation instruction;

[0011] Cluster the adjacent lighting sub-regions, perform regional linkage on the adjacent lighting sub-regions belonging to the same category, and record them as the linkage regions; Use the illuminance compensation neural network model to obtain the illuminance compensation values for adjacent regions within the linkage region during the process of gradually adjusting the illuminance of each region within the linkage region to the preset illuminance threshold of the corresponding region's illuminance; Use the multi-objective optimization algorithm, combine the illuminance of each region in the linkage region, the preset illuminance threshold of the corresponding region's illuminance for each region, and the compensation values for adjacent regions within the linkage region during the process of adjusting the illuminance of each region to the preset illuminance threshold of the corresponding region's illuminance, to obtain a lighting adjustment plan for the linkage region so that the illuminance of each region in the linkage region reaches the preset illuminance threshold of the corresponding region's illuminance and the adjustment energy consumption is minimized; Generate a second regulation instruction correspondingly according to the lighting adjustment plan for the linkage region to make the lighting equipment in the linkage region complete the lighting adjustment control of the linkage region according to the second regulation instruction.

[0012] By adopting the above solution, divide the lighting area and deploy illuminance sensors to collect illuminance data, construct a distributed illuminance field, accurately respond to the actual lighting needs of each region, dynamically adjust the regional illuminance in combination with multi-modal data such as different time periods and climate data to reach the best regional illuminance standard, and ensure user needs; At the same time, consider the influence of regional illuminance adjustment on the illuminance of adjacent regions in combination with the geographical location of lighting equipment and historical illuminance, use the multi-objective optimization algorithm, and combine the illuminance compensation values obtained by the illuminance compensation neural network model to minimize energy consumption to the greatest extent on the premise of ensuring the lighting effect.

[0013] Preferably, it further includes:

[0014] Use the camera devices installed in each lighting sub - area within the lighting sub - area to be regulated to collect the historical pedestrian flow density in the corresponding area in real - time, and statistically obtain the area unit with the largest pedestrian flow density in the corresponding area in the recent period of time for the obtained corresponding area;

[0015] For each independent lighting sub - area obtained through statistics, generate a first regulation instruction accordingly. When adjusting the illuminance of the lighting devices in the lighting sub - area to the preset illuminance threshold of the corresponding area according to the first regulation instruction, take the lighting devices at the location of the statistically obtained area unit as the adjustment objects;

[0016] Generate a second regulation instruction according to the linked - area illuminance adjustment plan so that when the lighting devices in the linked area complete the linked - area illuminance adjustment control according to the second regulation instruction, take the lighting devices at the location of the area unit corresponding to each area in the statistically obtained linked area as the adjustment objects.

[0017] By adopting the above - mentioned scheme, when adjusting the lighting devices in independent lighting sub - areas and linked areas to achieve the optimal illuminance, focus on adjusting the area units with a large pedestrian flow density, avoid energy waste caused by over - illumination in areas with a low pedestrian flow density, and realize the reasonable allocation of lighting resources.

[0018] Preferably, before comparing whether the illuminance of each lighting sub - area is lower than the preset illuminance threshold of the corresponding area illuminance, it also includes: judging whether the illuminance of the lighting sub - area was adjusted at the previous moment;

[0019] If not, compare the illuminance of each lighting sub - area at the current moment with the illuminance of the lighting sub - area at the previous moment in advance; if the difference between the two is less than the preset difference, continue to execute the operation of comparing whether the illuminance of each lighting sub - area is lower than the preset illuminance threshold of the corresponding area illuminance, and obtain the sub - area with illuminance lower than the preset illuminance threshold of the corresponding area illuminance, which is recorded as the lighting sub - area to be regulated; if the difference between the two is greater than the preset difference, temporarily stop continuing to execute the operation of comparing whether the illuminance of each lighting sub - area is lower than the preset illuminance threshold of the corresponding area illuminance, and obtain the sub - area with illuminance lower than the preset illuminance threshold of the corresponding area illuminance, which is recorded as the lighting sub - area to be regulated; when it is determined that the illuminance at the next moment is still lower than the preset illuminance threshold of the corresponding area illuminance, continue to execute the operation of comparing whether the illuminance of each lighting sub - area is lower than the preset illuminance threshold of the corresponding area illuminance, and obtain the sub - area with illuminance lower than the preset illuminance threshold of the corresponding area illuminance, which is recorded as the lighting sub - area to be regulated;

[0020] If it was, continue to execute the operation of comparing whether the illuminance of each lighting sub - area is lower than the preset illuminance threshold of the corresponding area illuminance, and obtain the sub - area with illuminance lower than the preset illuminance threshold of the corresponding area illuminance, which is recorded as the lighting sub - area to be regulated.

[0021] By adopting the above solution, considering that the illuminance collected in real time may be lower than the preset illuminance threshold of the regional illuminance due to sudden reasons such as unstable voltage, in order to avoid such unnecessary adjustments, when it is determined that no illuminance adjustment was made at the previous moment, it is compared with the illuminance at the previous moment to decide whether to make a real-time adjustment, improving the stability and energy efficiency ratio of the system.

[0022] Preferably, in the process of using the illuminance compensation neural network model to gradually adjust the illuminance of each area in the linkage area to the preset illuminance threshold of the corresponding area and obtaining the illuminance compensation values for adjacent areas in the linkage area, before using the multi-objective optimization algorithm to combine the illuminance of each area in the linkage area, the preset illuminance threshold of the corresponding area of each area, and the compensation values for adjacent areas in the linkage area during the process of adjusting the illuminance of each area to the preset illuminance threshold of the corresponding area to obtain the illuminance adjustment plan for the linkage area, it further includes: comparing whether the illuminance compensation values for adjacent areas in the linkage area are less than the preset illuminance compensation value. If less, the obtained illuminance compensation value is set to 0; otherwise, the currently obtained illuminance compensation value is retained.

[0023] By adopting the above solution, during the process of adjusting the illuminance of the linkage area, by screening the illuminance compensation values of adjacent areas, it is ensured that actual compensation is only carried out when the compensation value exceeds the preset value, thereby ensuring the best lighting effect in the area and achieving more refined and efficient lighting control.

[0024] Preferably, it further includes:

[0025] According to the real-time urban illuminance field generated by monitoring, if it is determined by comparison that the illuminance of each lighting sub-area is not lower than the preset illuminance threshold of the corresponding area, then the big data analysis algorithm is used to analyze and predict the illuminance of each lighting sub-area in the next period of time, and the real-time urban illuminance field in the next period of time is correspondingly predicted and generated.

[0026] Predict the meteorological data in the next period of time in advance based on the meteorological data collected in real time, and determine the preset illuminance threshold of the corresponding area in the next period of time by combining the predicted meteorological data with the future period information; according to the predicted real-time urban illuminance field in the next period of time, judge whether there is a lighting sub-area whose illuminance is lower than the preset illuminance threshold of the corresponding area in the next period of time; if so, correspondingly determine the lighting sub-areas to be regulated, continue to count and distinguish the adjacent lighting sub-areas and independent lighting sub-areas among all the lighting sub-areas to be regulated, and complete the control of the regional illuminance adjustment according to the statistical and distinguishing results.

[0027] By adopting the above solution, during the process of adjusting the illuminance in the linkage area, by screening the illuminance compensation values of adjacent areas, it is ensured that actual compensation is only carried out when the compensation value exceeds the preset value, thereby guaranteeing the best lighting effect in the area and achieving more refined and efficient lighting control.

[0028] Preferably, it further includes:

[0029] According to the real-time urban illuminance field generated by monitoring, if it is determined by comparison that the illuminance of each lighting sub-area is not lower than the preset illuminance threshold of the corresponding area, then the big data analysis algorithm is used to analyze and predict the illuminance of each lighting sub-area in the next period of time, and the real-time urban illuminance field in the next period of time is correspondingly predicted and generated.

[0030] Predict the meteorological data in the next period of time in advance according to the real-time collected meteorological data, and determine the preset illuminance threshold of the corresponding area in the next period of time by combining the predicted meteorological data with the future period information; according to the predicted real-time urban illuminance field in the next period of time, judge whether there is a lighting sub-area whose illuminance is lower than the preset illuminance threshold of the corresponding area in the next period of time; if so, correspondingly determine the lighting sub-areas to be regulated, continue to count and distinguish the adjacent lighting sub-areas and independent lighting sub-areas among all the lighting sub-areas to be regulated, and complete the control of the regional illuminance adjustment according to the statistical and distinguishing results.

[0031] By adopting the above solution, not only can unnecessary lighting adjustments be avoided when the current illuminance meets the requirements, saving energy, but also reasonable lighting control decisions can be made in advance through the prediction of future illuminance and the analysis of meteorological data, further improving the intelligence level and energy efficiency ratio of the system.

[0032] Preferably, it further includes:

[0033] Judge whether the request information for the preset illuminance threshold of the regional illuminance set by the user is received; if received, compare the size of the preset illuminance threshold of the regional illuminance requested by the user with the safety illuminance threshold of the regional illuminance, if it is less, ignore the user request, if it is greater than or equal to, then replace the preset illuminance threshold of the regional illuminance corresponding to different time periods and climate data with the preset illuminance threshold of the regional illuminance set by the user; among them, each area is provided with a safety illuminance threshold of the regional illuminance.

[0034] By adopting the above solution, the function of the user to customize the preset illuminance threshold of the regional illuminance is realized, the flexibility and personalized configuration ability of the system are enhanced, and at the same time, the safety illuminance threshold of the regional illuminance is introduced to ensure that even when the user sets a lower illuminance threshold, the basic safety lighting requirements are guaranteed, and potential safety hazards caused by too low illuminance are avoided.

[0035] Preferably, it further includes:

[0036] When dividing the range of urban lighting areas, determine the type of each lighting sub - area according to the location of each lighting sub - area; according to the type corresponding to each lighting sub - area, set the number of illuminance sensors matching the corresponding type, and evenly deploy them in each divided lighting sub - area; wherein, the types of the lighting sub - areas include: commercial area type, residential area type, and public facility area type, and each type corresponds to a corresponding number of illuminance sensors.

[0037] By adopting the above - mentioned solution, considering that the demand differences for illuminance in different types of areas are relatively large, reasonable allocation of the number of sensors can avoid waste of resources, improve the economy of the overall system, and achieve more fine - grained lighting control.

[0038] In a second aspect, the present application provides an urban lighting control system based on distributed illuminance, including:

[0039] A preset lighting area data acquisition module, which is used to divide the range of urban lighting areas, deploy illuminance sensors and meteorological sensors inside each divided lighting sub - area, and collect and obtain the illuminance data and meteorological data of each lighting sub - area;

[0040] A preset lighting area real - time illuminance field acquisition module, which is used to analyze the illuminance data of each lighting sub - area collected by using big data analysis algorithms to generate an urban real - time illuminance field;

[0041] A to - be - regulated lighting sub - area determination module, which is used to monitor the generated urban real - time illuminance field, compare whether the illuminance of each lighting sub - area is lower than the preset illuminance threshold of the corresponding area's illuminance, and the preset illuminance threshold of each area's illuminance is dynamically matched and adjusted according to different time periods and climate data; obtain the lighting sub - areas whose illuminance is lower than the preset illuminance threshold of the corresponding area's illuminance, record them as to - be - regulated lighting sub - areas, and statistically distinguish the adjacent lighting sub - areas and independent lighting sub - areas among all the to - be - regulated lighting sub - areas; the illuminance of each lighting sub - area refers to the average illuminance;

[0042] A to - be - regulated lighting sub - area regulation module, which is used to generate a first regulation instruction for each independent lighting sub - area so that the lighting equipment in the lighting sub - area adjusts the illuminance of the lighting sub - area to the preset illuminance threshold of the corresponding area's illuminance according to the first regulation instruction;

[0043] Cluster adjacent lighting sub - regions, and perform regional linkage on adjacent lighting sub - regions belonging to the same category, which is denoted as the linkage region; use the illuminance compensation neural network model to obtain the illuminance compensation values for adjacent regions within the linkage region during the process of gradually adjusting the illuminance of each region within the linkage region to the preset illuminance threshold of the corresponding region; use the multi - objective optimization algorithm, combined with the illuminance of each region in the linkage region, the preset illuminance threshold of the corresponding region for each region, and the compensation values for adjacent regions within the linkage region during the process of adjusting the illuminance of each region to the preset illuminance threshold of the corresponding region, to obtain a lighting adjustment plan for the linkage region so that the illuminance of each region in the linkage region reaches the preset illuminance threshold of the corresponding region and the adjustment energy consumption is minimized; generate a second control instruction corresponding to the lighting adjustment plan for the linkage region so that the lighting equipment in the linkage region completes the lighting adjustment control corresponding to the second control instruction.

[0044] By adopting the above - mentioned solution, the illuminance and meteorological data of each lighting sub - region are collected in real time, and the real - time urban illuminance field is generated by using the big data analysis algorithm. The real - time illuminance field is monitored and combined with data such as meteorological data to complete the adjustment of the best preset illuminance threshold for each region, realizing the comprehensive intelligent management of the urban lighting control system based on distributed illuminance; at the same time, the linkage control of adjacent regions is intelligently identified and processed, and through the illuminance compensation neural network model and the multi - objective optimization algorithm, the minimum energy consumption adjustment of the illuminance within the linkage region is realized, further improving the energy efficiency ratio of the system.

[0045] In a third aspect, the present application provides a computer - readable storage medium, where the computer - readable storage medium includes a stored computer program. Among them, when the computer program runs, it controls the device where the computer - readable storage medium is located to execute the method as described above.

[0046] In a fourth aspect, the present application provides a computer device, where the computer device includes a memory, a processor, and a program stored and executable on the memory. When the program is executed by the processor, it implements the steps of the method as described above.

[0047] In summary, the present application has the following beneficial effects:

[0048] 1. Divide the urban lighting area and widely deploy a network of illuminance sensors to monitor the illuminance data of each lighting sub - area in real - time, forming a high - precision distributed illuminance field, improving the accuracy and response speed of lighting control; dynamically adjust the preset illuminance threshold of each area in combination with different time periods and meteorological data to ensure that the lighting demand matches the actual lighting conditions, guaranteeing the urban lighting effect and achieving the energy - saving goal; consider the influence during the illuminance adjustment process of adjacent lighting sub - areas, introduce an illuminance compensation mechanism by combining neural networks, and use a multi - objective optimization algorithm to optimize the illuminance adjustment plan for the linked area, ensuring that the illuminance of each area in the linked area reaches the preset standard and the adjustment energy consumption is minimized, further improving the energy efficiency;

[0049] 2. By collecting and counting the historical pedestrian flow density in the lighting sub - areas to be regulated in real - time, identify the area units with high pedestrian flow density in the lighting sub - areas, and give priority to adjusting the lighting equipment of these area units when adjusting the lighting equipment in independent lighting sub - areas and linked areas, realizing the rational allocation of lighting resources;

[0050] 3. Through the prediction of future illuminance and the analysis of meteorological data, predict the situations where future illuminance needs to be adjusted, and make reasonable lighting control decisions in advance, further improving the intelligence level and energy efficiency ratio of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flowchart of the urban lighting control method based on distributed illuminance described in the specific embodiment;

[0052] Figure 2 is a schematic structural diagram of the urban lighting control system based on distributed illuminance described in the specific embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] As Figure 1 shown, an embodiment of the present application discloses an urban lighting control method based on distributed illuminance, and the specific steps include:

[0055] S1. Divide the urban lighting area range and collect the illuminance data and meteorological data in each divided lighting sub - area.

[0056] Specifically, divide the urban lighting area into, for example, N preset lighting areas; deploy several devices such as illuminance sensors, meteorological sensors, and camera devices within each divided lighting sub - area, for example, M illuminance sensors and P meteorological sensors.

[0057] The above - deployed sensors are evenly distributed within each lighting sub - area, and the deployed sensors and devices are used to collect the illuminance data and meteorological data of each lighting sub - area regularly or in real - time according to user requirements; among them, the illuminance data includes: location information, light field range, illuminance, time, elevation, etc.; the meteorological data includes: temperature, humidity, and light intensity, etc.

[0058] In addition, considering that different types of areas (such as commercial areas, residential areas, and public facility areas) have large differences in lighting requirements, reasonably configuring the number of sensors can avoid resource waste and accurately complete area lighting control. Therefore, when dividing the urban lighting area, determine the type of each lighting sub - area according to the location of each lighting sub - area; among them, the types of the lighting sub - areas include: commercial area type, residential area type, and public facility area type, etc.; according to the type corresponding to each lighting sub - area, set the number of illuminance sensors matching the corresponding type, and evenly deploy them within each divided lighting area; for each type of lighting sub - area, set the number of illuminance sensors matching it, for example, M1 illuminance sensors matching the commercial area type, M2 illuminance sensors matching the residential area type, and M3 illuminance sensors matching the public facility area type.

[0059] S2. Use big - data analysis algorithms to analyze the illuminance data of each lighting sub - area collected, and generate a real - time urban illuminance field.

[0060] Specifically, first, perform data cleaning and pre - processing on the illuminance data of each lighting sub - area collected in real - time, remove abnormal data and noise data in the illuminance data, and perform interpolation processing on missing data, etc.; second, combine the position data and timestamp of each sensor, perform spatio - temporal data alignment and sorting, and then analyze the illuminance distribution at each position where each sensor is located within each lighting sub - area in real - time, and generate a real - time urban illuminance field by synthesizing the illuminance distributions in all lighting sub - areas.

[0061] In addition, in order to more intuitively display the lighting conditions in various areas of the city and help decision - makers better understand the current lighting distribution status, visualize the illuminance data of each sub - area as an illuminance map; the illuminance map is set as a dynamic and interactive visualization interface, and represents the illuminance levels of each area by different colors or brightness.

[0062] S3. Monitor the generated real-time urban illuminance field, determine the lighting sub-areas to be regulated, and conduct statistical classification.

[0063] Specifically, monitor the generated real-time urban illuminance field, compare the illuminance of each lighting sub-area with the preset illuminance threshold of the corresponding area respectively, judge whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the corresponding area, and then determine the lighting sub-areas to be regulated, that is, obtain the lighting sub-areas with illuminance lower than the preset illuminance threshold of the corresponding area, denoted as the lighting sub-areas to be regulated.

[0064] Among them, the illuminance of each lighting sub-area refers to the illuminance value or average illuminance at a specific position within the lighting sub-area; in this embodiment, the average illuminance collected by multiple illuminance sensors within each lighting sub-area is used as the illuminance of the lighting sub-area.

[0065] The preset illuminance threshold of the corresponding area for each lighting sub-area is dynamically matched and adjusted according to different time periods and meteorological data; for example, the preset illuminance threshold during the day is set relatively high, while it is relatively low at night; the preset illuminance threshold on foggy days is set relatively high, while it is relatively low on sunny days. There is a corresponding optimal preset illuminance threshold for each time period and meteorological data. Specifically, the optimal historical preset illuminance threshold is determined by combining the weighted results of user satisfaction feedback data and power consumption feedback data under different historical illuminance conditions during the same historical time period and meteorological data recorded. A training database is established based on the historical preset illuminance threshold, historical time period, and meteorological data, and a neural network model is designed and trained to obtain the dynamically matched preset illuminance threshold for different time periods and meteorological data.

[0066] Considering that the illuminance adjustment of adjacent lighting sub-areas will affect each other, therefore, statistically classify the adjacent lighting sub-areas and independent lighting sub-areas among all the lighting sub-areas to be regulated; among them, the adjacent lighting sub-areas are clustered according to their positions, and the adjacent lighting sub-areas belonging to the same category are subject to area linkage, denoted as the linkage area.

[0067] S4. Conduct area illuminance adjustment control for the lighting sub-areas to be regulated.

[0068] Specifically, for each independent lighting sub-region, a first regulation instruction is correspondingly generated; the first regulation instruction includes: a first regulation start instruction and a first regulation end instruction; the first regulation start instruction is sent to the lighting devices in the lighting sub-region, and the lighting devices in the lighting sub-region that receive the first regulation start instruction start to adjust their own light intensity. The light intensity in the lighting sub-region is monitored by the illuminance sensors in the lighting sub-region until the illuminance in the lighting sub-region reaches the preset illuminance threshold of the corresponding region illuminance. Then, the first regulation stop instruction is sent to the lighting devices in the lighting sub-region, and the lighting devices in the lighting sub-region that receive the first regulation stop instruction stop adjusting their own light intensity, completing the adjustment control of the illuminance in the lighting sub-region to the preset illuminance threshold of the corresponding region illuminance.

[0069] Before correspondingly generating a second regulation instruction for each linkage region, the illuminance compensation neural network model is used to respectively obtain the illuminance compensation values for adjacent regions in the linkage region during the process of gradually adjusting the illuminance of each region in the linkage region to the preset illuminance threshold of the corresponding region illuminance; the illuminance compensation neural network model is iteratively trained through the historical illuminance of each region in the linkage region, the historical target illuminance during the process of adjusting to the preset illuminance threshold of the corresponding region illuminance, and the historical illuminance compensation values of the historical target illuminance for the historical illuminance of each adjacent region in the linkage region during the process of adjusting the illuminance of each region to the preset illuminance threshold of the corresponding region illuminance; where each region in the linkage region refers to each lighting sub-region in the linkage region.

[0070] Specifically, the process of adjusting the current illuminance of each region to the preset illuminance threshold of the corresponding region illuminance can be selectively divided into several adjustment steps. Taking the illuminance corresponding to each divided adjustment step as the target region illuminance, for each adjustment step, the current illuminance and the target illuminance are input into the illuminance compensation neural network model to obtain the illuminance compensation values for each adjacent region in the linkage region. Among them, the influence of the illuminance adjustment of the same region on the illuminance adjustment of adjacent regions is different. In this embodiment, the illuminance adjustment of a single region is for a specified region unit position.

[0071] After obtaining the illuminance compensation values for adjacent regions in the linkage region during the process of gradually adjusting the illuminance of each region in the linkage region to the preset illuminance threshold of the corresponding region illuminance, the multi-objective optimization algorithm is used to combine the illuminance of each region in the linkage region, the preset illuminance threshold of the corresponding region for each region, and the compensation values for adjacent regions in the linkage region during the process of adjusting the illuminance of each region to the preset illuminance threshold of the corresponding region illuminance, to obtain a linkage region illuminance adjustment plan so that the illuminance of each region in the linkage region reaches the preset illuminance threshold of the corresponding region illuminance and the adjustment energy consumption is minimized.

[0072] For example, the current linkage area is three areas A, B, and C. Among them, the current illuminance of area A is A1, and the preset illuminance threshold of the corresponding area is A2; among them, during the process of adjusting A1 to A2, the target illuminance is Ax, and Ax can be multiple values. During the process of adjusting A1 to A2, the compensation values for adjacent areas within the linkage area are Bx and Cx; similarly, the current illuminance of area B is B1, and the preset illuminance threshold of the corresponding area is B2; among them, during the process of adjusting B1 to B2, the transitional target illuminance is By, and By can be multiple values. During the process of adjusting B1 to B2, the compensation values for adjacent areas within the linkage area are Ay and Cy; similarly, the current illuminance of area C is C1, and the preset illuminance threshold of the corresponding area is C2; among them, during the process of adjusting C1 to C2, the transitional target illuminance is Cz, and Cz can be multiple values. During the process of adjusting C1 to C2, the compensation values for adjacent areas within the linkage area are Az and Bz; using the multi-objective optimization algorithm, a multi-objective optimization function is constructed to obtain:

[0073]

[0074] Among them, P represents energy consumption, a represents the energy consumption conversion coefficient corresponding to the adjusted illuminance when the illuminance of area A is adjusted from A1 to Ax, b represents the energy consumption conversion coefficient corresponding to the adjusted illuminance when the illuminance of area B is adjusted from B1 to By, and c represents the energy consumption conversion coefficient corresponding to the adjusted illuminance when the illuminance of area C is adjusted from C1 to Cz; among them, 、 and , 、 and are unknowns and can be substituted by traversing combinations. For the traversing combinations ( 、 , ), the corresponding Bx and Cx, Ay and Cy, and Az and Bz can be obtained by using the illuminance compensation neural network model and substituted together. Finally, the optimal combination solution is obtained, and this optimal combination solution is used as the adjustment plan.

[0075] Generate a second control command according to the linkage area illuminance adjustment scheme. The second control command includes: a second control start command, a second control end command, and adjustment parameters corresponding to the optimal combination solution. Send the second control start command to the lighting devices in each lighting sub-area of the linkage area. The lighting devices in each lighting sub-area that receive the second control start command start to adjust their own illuminance. Monitor using the illuminance sensors in the lighting sub-area until the illuminance in the lighting sub-area reaches the illuminance value of the area corresponding to the optimal combination solution. Send the second control stop command to the lighting devices in the lighting sub-area. The lighting devices in the lighting sub-area that receive the second control stop command stop adjusting their own illuminance, completing the adjustment control of the illuminance in the lighting sub-area to the preset illuminance threshold of the corresponding area illuminance, so that the lighting devices in the linkage area complete the linkage area illuminance adjustment control according to the second control command.

[0076] In addition, considering that when the illuminance adjustment of a certain area has little impact on the illuminance of adjacent areas, the current impact can be ignored, and the illuminance of adjacent areas is adjusted to the preset illuminance threshold of the corresponding area illuminance as much as possible. Therefore, after using the illuminance compensation neural network model to obtain the illuminance compensation values for adjacent areas in the linkage area during the process of gradually adjusting the illuminance of each area in the linkage area to the preset illuminance threshold of the corresponding area illuminance, before using the multi-objective optimization algorithm to combine the illuminance of each area in the linkage area, the preset illuminance threshold of each area corresponding area illuminance, and the compensation values for adjacent areas in the linkage area during the process of adjusting the illuminance of each area to the preset illuminance threshold of the corresponding area illuminance to obtain the linkage area illuminance adjustment scheme, it also includes: comparing whether the illuminance compensation value for adjacent areas in the linkage area is less than the preset illuminance compensation value. If it is less, set the obtained illuminance compensation value to 0; otherwise, retain the currently obtained illuminance compensation value.

[0077] In summary, through the distributed illuminance sensor network, the illuminance and meteorological data of each area of the city are monitored in real time to generate the real-time city illuminance field. Using the big data analysis algorithm and the multi-objective optimization algorithm, the illuminance of each area is dynamically adjusted to achieve the goals of precise control and energy saving, improving the refined management level of lighting control, effectively coping with complex lighting environments, and ensuring lighting quality and user experience.

[0078] In a specific embodiment, when adjusting the lighting devices in the independent lighting sub-area and the linkage area, to ensure the reasonable allocation of lighting resources, the adjustment is mainly targeted at the area units with high population density, avoiding energy waste caused by over-illumination in areas with low population density. The method also includes:

[0079] The camera devices of each lighting sub - area within the lighting sub - area to be regulated are used to collect the historical pedestrian flow density in the corresponding area in real - time, and the area unit with the largest pedestrian flow density in the corresponding area in the recent period of time is statistically obtained; the specific duration of the recent period of time can be set according to human needs.

[0080] For each independent lighting sub - area obtained through statistics, a first regulation instruction is correspondingly generated. When the lighting equipment in the lighting sub - area adjusts the illuminance of the lighting sub - area to the preset illuminance threshold of the corresponding area according to the first regulation instruction, the lighting equipment at the position of the area unit obtained through statistics is used as the adjustment object; that is, a first regulation start instruction and a first regulation stop instruction are sent to the lighting equipment at the position of the area unit with the largest pedestrian flow density in the lighting sub - area obtained through statistics, and the adjustment control of the illuminance of the lighting sub - area to the preset illuminance threshold of the corresponding area illuminance is correspondingly completed.

[0081] When a second regulation instruction is correspondingly generated according to the linked - area illuminance adjustment scheme to enable the lighting equipment in the linked area to complete the linked - area illuminance adjustment control according to the second regulation instruction, the lighting equipment at the position of the area unit corresponding to each area in the linked area obtained through statistics is used as the adjustment object; that is, a second regulation start instruction and a second regulation stop instruction are sent to the lighting equipment at the position of the area unit with the largest pedestrian flow density in each lighting sub - area in the linked area obtained through statistics, and the linked - area illuminance adjustment control is correspondingly completed.

[0082] In addition, regarding how to specifically operate the lighting equipment in the lighting sub - area that receives the first regulation start instruction to start adjusting its own light intensity, it can be selected to make a uniform adjustment according to the performance of each lighting equipment in the area unit. The light intensity can be increased synchronously by the same value. When the maximum light intensity threshold of the corresponding lighting equipment is reached, the adjustment of the light intensity of the corresponding lighting equipment is reduced or not adjusted until the illuminance in the lighting sub - area reaches the preset illuminance threshold of the corresponding area illuminance. Similarly, regarding how to specifically operate the lighting equipment in each lighting sub - area that receives the second regulation start instruction to start adjusting its own light intensity, it can also be uniformly adjusted according to the performance of each lighting equipment in the corresponding area unit of the corresponding lighting sub - area in the linked area. The light intensity can be increased synchronously by the same value. When the maximum light intensity threshold of the corresponding lighting equipment is reached, the adjustment of the light intensity of the corresponding lighting equipment is reduced or not adjusted until the illuminance in the lighting sub - area reaches the value of the corresponding area illuminance of the optimal combination solution.

[0083] In a specific embodiment, considering that the illuminance of some lighting sub - areas is lower than the preset illuminance threshold of the corresponding area illuminance due to external sudden reasons such as unstable voltage of lighting equipment, therefore, to avoid unnecessary frequent adjustments caused by such reasons and further improve the stability and energy efficiency ratio of lighting control; the method further includes:

[0084] Before comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region's illuminance, it further includes: judging whether the illuminance of the lighting sub-region was adjusted at the previous moment;

[0085] If not, it indicates that the illuminance at the current moment is roughly the same as that at the previous moment. Then, the illuminance of each lighting sub-region at the current moment is compared with the illuminance of the lighting sub-region at the previous moment in advance. If the difference between the two is less than the preset difference, continue to execute the operation of comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region's illuminance, and obtain the sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region's illuminance, which are recorded as the lighting sub-regions to be regulated. If the difference between the two is greater than the preset difference, it is very likely that there is a sudden situation with the lighting equipment. Temporarily stop continuing to execute the operation of comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region's illuminance, and obtain the sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region's illuminance, which are recorded as the lighting sub-regions to be regulated. When it is determined that the illuminance at the next moment is still lower than the preset illuminance threshold of the corresponding region's illuminance, that is, it is not a sudden situation, continue to execute the operation of comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region's illuminance, and obtain the sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region's illuminance, which are recorded as the lighting sub-regions to be regulated.

[0086] If it was adjusted, then continue to execute the operation of comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region's illuminance, and obtain the sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region's illuminance, which are recorded as the lighting sub-regions to be regulated.

[0087] In addition, considering that meteorological data generally does not change too rapidly continuously within a period of time; therefore, on the basis of judging the illuminance at each moment compared with the illuminance adjustment of the lighting sub-region at the previous moment, if the illuminance judgment result of the same lighting sub-region is continuously lower than the preset illuminance threshold of the corresponding region's illuminance within the first period of time starting from the current moment, it is determined that there is a fault in the regulation of the lighting equipment in this lighting sub-region, generate a prompt message and suspend the regulation.

[0088] In a specific embodiment, when the current illuminance meets the requirements and no lighting adjustment is required, it is also possible to make reasonable lighting regulation decisions in advance through the prediction of future illuminance and the analysis of meteorological data, further improving the intelligence level and energy efficiency ratio of the system. The method further includes:

[0089] Based on the real-time illuminance field of the city generated by monitoring, it is compared and determined that there is no illuminance in each lighting sub-region lower than the preset illuminance threshold of the corresponding region, indicating that the current illuminance meets the requirements. Then, the big data analysis algorithm is used to analyze and predict the illuminance of each lighting sub-region within a future period of time, and the real-time illuminance field of the city within the future period of time is correspondingly predicted; among them, the future period of time can be set manually.

[0090] Using big data analysis and prediction technology, the meteorological data within a future period of time is predicted in advance based on the real-time collected meteorological data; for example, a deep learning algorithm is used to predict the meteorological data within a future period of time.

[0091] Combining the predicted meteorological data with the future time period information to determine the preset illuminance threshold of the corresponding region within a future period of time; according to the predicted real-time illuminance field of the city within a future period of time, it is judged whether there is an illuminance in a lighting sub-region lower than the preset illuminance threshold of the corresponding region within a future period of time; if so,

[0092] Then, the lighting sub-regions to be regulated are correspondingly determined; specifically, the moment when the illuminance of the lighting sub-region first appears lower than the preset illuminance threshold of the corresponding region within a future period of time is set as the reference moment, and the lighting sub-regions with illuminance lower than the preset illuminance threshold of the corresponding region at this reference moment are correspondingly determined as the lighting sub-regions to be regulated; continue to count and distinguish the adjacent lighting sub-regions and independent lighting sub-regions among all the lighting sub-regions to be regulated, and complete the adjustment and control of the regional illuminance according to the statistical and distinguishing results.

[0093] In a specific embodiment, to implement the function of the user-defined regional illuminance preset illuminance threshold and enhance the flexibility and personalized configuration ability of the system, the method further includes:

[0094] Judge whether the request information for the regional illuminance preset illuminance threshold set by the user is received;

[0095] If received, then compare the size of the regional illuminance preset illuminance threshold requested by the user with the regional illuminance safety illuminance threshold. If it is less, the user request is ignored. If it is greater than or equal to, the regional illuminance preset illuminance threshold set by the user is used to replace the regional illuminance preset illuminance threshold corresponding to different time periods and climate data; among them, each region is provided with a regional illuminance safety illuminance threshold.

[0096] As Figure 2 shown, the embodiment of the present application discloses an urban lighting control system based on distributed illuminance, including:

[0097] The preset lighting area data acquisition module 101 is used to divide the urban lighting area range, deploy illuminance sensors and meteorological sensors inside each divided lighting sub-area, and collect and obtain the illuminance data and meteorological data of each lighting sub-area;

[0098] The preset lighting area real-time illuminance field acquisition module 102 is used to analyze the illuminance data of each collected lighting sub-area by using a big data analysis algorithm to generate an urban real-time illuminance field;

[0099] The lighting sub-area to be regulated determination module 103 is used to monitor the generated urban real-time illuminance field, compare whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the corresponding area illuminance. The preset illuminance threshold of each area is dynamically matched and adjusted according to different time periods and climate data; obtain the lighting sub-areas with illuminance lower than the preset illuminance threshold of the corresponding area illuminance, which are recorded as the lighting sub-areas to be regulated, and count and distinguish the adjacent lighting sub-areas and independent lighting sub-areas among all the lighting sub-areas to be regulated; the illuminance of each lighting sub-area refers to the average illuminance;

[0100] The lighting sub-area to be regulated regulation module 104 is used to generate a first regulation instruction for each independent lighting sub-area so that the lighting equipment in the lighting sub-area adjusts the illuminance of the lighting sub-area to the preset illuminance threshold of the corresponding area illuminance according to the first regulation instruction; cluster the adjacent lighting sub-areas, and perform regional linkage on the adjacent lighting sub-areas belonging to the same category, which is recorded as the linkage area; use the illuminance compensation neural network model to obtain the illuminance compensation value for the adjacent areas in the linkage area during the process of gradually adjusting the illuminance of each area in the linkage area to the preset illuminance threshold of the corresponding area illuminance; use a multi-objective optimization algorithm, combine the illuminance of each area in the linkage area, the preset illuminance threshold of the corresponding area illuminance of each area, and the compensation value for the adjacent areas in the linkage area during the process of adjusting the illuminance of each area to the preset illuminance threshold of the corresponding area illuminance, to obtain a lighting adjustment plan for the linkage area so that the illuminance of each area in the linkage area reaches the preset illuminance threshold of the corresponding area illuminance and the adjustment energy consumption is minimized; generate a second regulation instruction according to the lighting adjustment plan of the linkage area so that the lighting equipment in the linkage area completes the lighting adjustment control according to the second regulation instruction.

[0101] In a specific embodiment, the preset lighting area data acquisition module 101 in the system is further used to use the camera devices installed in each lighting sub-area in the lighting sub-area to be regulated to collect and obtain the historical population density in the corresponding area in real time, and count the area unit with the largest historical population density in the corresponding area in the recent period;

[0102] The lighting sub-region regulation module 104 to be regulated is further configured to, for each independent lighting sub-region obtained through statistics, generate a first regulation instruction correspondingly to cause the lighting devices in the lighting sub-region to adjust the illuminance of the lighting sub-region to the preset illuminance threshold of the corresponding region according to the first regulation instruction. In this process, the lighting devices at the positions of the region units obtained through statistics are used as the adjustment objects; and generate a second regulation instruction correspondingly according to the linkage region illuminance adjustment scheme to cause the lighting devices in the linkage region to complete the linkage region illuminance adjustment control according to the second regulation instruction. In this process, the lighting devices at the positions of the region units corresponding to each region in the linkage region obtained through statistics are used as the adjustment objects.

[0103] In a specific embodiment, the system further includes:

[0104] The pre-regulation module 105 for the lighting sub-regions to be regulated is configured to, according to the real-time urban illuminance field generated by monitoring, compare and determine that the illuminance of each lighting sub-region is not lower than the preset illuminance threshold of the corresponding region illuminance. Then, use the big data analysis algorithm to analyze and predict the illuminance of each lighting sub-region in a future period of time, and correspondingly predict and generate the real-time urban illuminance field in a future period of time; predict the meteorological data in a future period of time according to the meteorological data collected in real time in advance, and combine the predicted meteorological data with the future period information to determine the preset illuminance threshold of the corresponding region illuminance in a future period of time; according to the predicted real-time urban illuminance field in a future period of time, determine whether there is a lighting sub-region whose illuminance is lower than the preset illuminance threshold of the corresponding region illuminance in a future period of time; if so, correspondingly determine the lighting sub-regions to be regulated, continue to count and distinguish the adjacent lighting sub-regions and independent lighting sub-regions among all the lighting sub-regions to be regulated, and complete the region illuminance adjustment control according to the statistical and distinguishing results.

[0105] A specific embodiment, the to-be-regulated lighting sub-region determination module 103 in the system is further configured to, before comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region, further include: determining whether the illuminance of the lighting sub-region was adjusted at the previous moment; if not, comparing the illuminance of each lighting sub-region at the current moment with the illuminance of the lighting sub-region at the previous moment in advance; if the difference between the two is less than the preset difference, continue to execute the operation of comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region, and obtaining the sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region, which are recorded as the to-be-regulated lighting sub-regions; if the difference between the two is greater than the preset difference, temporarily stop continuing to execute the operation of comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region, and obtaining the sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region, which are recorded as the to-be-regulated lighting sub-regions; if it is determined that the illuminance at the next moment is still lower than the preset illuminance threshold of the corresponding region, continue to execute the operation of comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region, and obtaining the sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region, which are recorded as the to-be-regulated lighting sub-regions; if so, continue to execute the operation of comparing whether the illuminance of each lighting sub-region is lower than the preset illuminance threshold of the corresponding region, and obtaining the sub-regions where the illuminance is lower than the preset illuminance threshold of the corresponding region, which are recorded as the to-be-regulated lighting sub-regions.

[0106] A specific embodiment, the to-be-regulated lighting sub-region regulation module 104 in the system is further configured to, after obtaining the illuminance compensation values for adjacent regions in the linkage region during the process of gradually adjusting the illuminance of each region in the linkage region to the preset illuminance threshold of the corresponding region by using the illuminance compensation neural network model, and before obtaining the linkage region illuminance adjustment plan by using the multi-objective optimization algorithm in combination with the illuminance of each region in the linkage region, the preset illuminance threshold of the corresponding region for each region, and the compensation values for adjacent regions in the linkage region during the process of adjusting the illuminance of each region to the preset illuminance threshold of the corresponding region, further include: comparing whether the illuminance compensation value for adjacent regions in the linkage region is less than the preset illuminance compensation value, and if it is less, setting the obtained illuminance compensation value to 0; otherwise, retaining the currently obtained illuminance compensation value.

[0107] A specific embodiment, the sub-region determination module 103 for lighting to be regulated in the system is further configured to determine whether it has received a request message for a preset illuminance threshold of the regional illuminance set by the user; if it has received the request, it compares the size of the preset illuminance threshold of the regional illuminance requested by the user with the safety illuminance threshold of the regional illuminance. If it is less than the safety illuminance threshold, the user request is ignored. If it is greater than or equal to the safety illuminance threshold, the preset illuminance threshold of the regional illuminance set by the user is used to replace the preset illuminance threshold of the regional illuminance corresponding to different time periods and climate data; wherein, a safety illuminance threshold of the regional illuminance is set for each region.

[0108] A specific embodiment, the preset lighting area data acquisition module 101 in the system is further configured to, when dividing the urban lighting area range, determine the type of each lighting area according to the location of each lighting area; according to the type corresponding to each lighting area, set the number of illuminance sensors matching the corresponding type, and evenly deploy them in each divided lighting area; wherein, the types of the lighting areas include: commercial area type, residential area type, and public facility area type, and each type corresponds to a corresponding number of illuminance sensors of the corresponding type.

[0109] The embodiment of the present application also discloses a computer-readable storage medium.

[0110] Specifically, this computer-readable storage medium stores a computer program that can be loaded and executed by a processor, such as the above-mentioned urban lighting control method based on distributed illuminance. This computer-readable storage medium includes, for example: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs.

[0111] The embodiment of the present application also discloses a computer device.

[0112] Specifically, the computer device includes a memory and a processor. The memory stores a computer program that can be loaded and executed by the processor, such as the above-mentioned urban lighting control method based on distributed illuminance.

[0113] The above are all the preferred embodiments of the present application. The protection scope of the present application is not limited by this. Any feature disclosed in this specification (including the abstract and drawings), unless specifically described, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically described, each feature is only an example in a series of equivalent or similar features.

Claims

1. A method for controlling urban lighting based on distributed illuminance, characterized in that: include: Divide the scope of urban lighting areas, deploy light intensity sensors and meteorological sensors in each divided lighting sub-area, and collect light intensity data and meteorological data of each lighting sub-area; Use big data analysis algorithms to analyze the collected illuminance data of each lighting sub-area and generate a real-time illuminance field for the city; Monitor the generated real-time urban illumination field, compare the illumination of each lighting sub-area to see if it is lower than the preset illumination threshold of the corresponding area, and dynamically adjust the preset illumination threshold of each area according to the climate data at different time periods; Obtain lighting sub-areas whose illuminance is lower than a preset illuminance threshold of the corresponding area, record them as lighting sub-areas to be regulated, and statistically distinguish adjacent lighting sub-areas and independent lighting sub-areas among all lighting sub-areas to be regulated; the illuminance of each lighting sub-area refers to the average illuminance; For each independent lighting sub-area, a first control instruction is correspondingly generated so that the lighting equipment in the lighting sub-area adjusts the illumination of the lighting sub-area to a preset illumination threshold of the illumination of the corresponding area according to the first control instruction; Adjacent lighting sub-areas are clustered, and adjacent lighting sub-areas belonging to the same category are regionally linked and recorded as linked areas; a light intensity compensation neural network model is used to obtain the light intensity compensation value of the adjacent areas in the linked area during the process of gradually adjusting the light intensity of each area in the linked area to the preset light intensity threshold of the corresponding area; a multi-objective optimization algorithm is used to combine the light intensity of each area in the linked area, the preset light intensity threshold of each area corresponding to the area, and the compensation value of the adjacent areas in the linked area during the process of adjusting the light intensity of each area to the preset light intensity threshold of the corresponding area, to obtain a linked area light intensity adjustment plan so that the light intensity of each area in the linked area reaches the preset light intensity threshold of the corresponding area and the adjustment energy consumption is minimized; a second control instruction is generated according to the linked area light intensity adjustment plan so that the lighting equipment in the linked area completes the linked area light intensity adjustment control according to the second control instruction; After obtaining the illumination compensation value of the adjacent area in the linkage area during the process of gradually adjusting the illumination of each area in the linkage area to the preset illumination threshold of the illumination of the corresponding area by using the illumination compensation neural network model, using the multi-objective optimization algorithm, combining the illumination of each area in the linkage area, the preset illumination threshold of the illumination of each area corresponding to the area, and the compensation value of the adjacent area in the linkage area during the process of adjusting the illumination of each area to the preset illumination threshold of the illumination of the corresponding area, before obtaining the illumination adjustment plan of the linkage area, it also includes: Compare whether the illumination compensation value of the adjacent area in the linkage area is less than the preset illumination compensation value; if less than, set the obtained illumination compensation value to 0; otherwise, retain the currently obtained illumination compensation value; and also include: The camera device installed in each lighting sub-area to be regulated is used to collect and obtain the historical crowd density in the corresponding area in real time, and the regional unit with the largest crowd density in the corresponding area in the recent period of time is statistically obtained; For each independent lighting sub-area counted, a first control instruction is generated accordingly so that the lighting equipment in the lighting sub-area adjusts the illuminance of the lighting sub-area to the preset illuminance threshold of the corresponding area according to the first control instruction, and the lighting equipment at the location of the statistically obtained area unit is the adjustment object; In the process of generating a second control instruction according to the linkage area illumination adjustment scheme so that the lighting equipment in the linkage area completes the linkage area illumination adjustment control according to the second control instruction, the lighting equipment at the location of the regional unit corresponding to each area of ​​the linkage area obtained by statistics is used as the adjustment object; before comparing whether the illumination of each lighting sub-area is lower than the preset illumination threshold of the illumination of the corresponding area, it also includes: judging whether the illumination of the lighting sub-area was adjusted at the previous moment; If not performed, then compare the illuminance of each lighting sub-area at the current moment with the illuminance of the lighting sub-area at the previous moment in advance; if the difference between the two is less than the preset difference, then continue to compare whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the corresponding area, obtain the sub-area whose illuminance is lower than the preset illuminance threshold of the corresponding area, and record it as the lighting sub-area to be regulated; if the difference between the two is greater than the preset difference, then temporarily stop continuing to compare whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the corresponding area, obtain the sub-area whose illuminance is lower than the preset illuminance threshold of the corresponding area, and record it as the lighting sub-area to be regulated; when it is determined that the illuminance at the next moment is still lower than the preset illuminance threshold of the corresponding area, continue to compare whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the corresponding area, obtain the sub-area whose illuminance is lower than the preset illuminance threshold of the corresponding area, and record it as the lighting sub-area to be regulated; If yes, then continue to compare whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the corresponding area, obtain the sub-area whose illuminance is lower than the preset illuminance threshold of the corresponding area, and record it as the lighting sub-area to be regulated; Also includes: Determine whether a request information for a regional light intensity preset illumination threshold value set by a user is received; if received, compare the size of the regional light intensity preset illumination threshold value requested by the user with the regional light intensity safety illumination threshold value, if it is less than, ignore the user request; if it is greater than or equal to, replace the regional light intensity preset illumination threshold value corresponding to different time periods and climate data with the regional light intensity preset illumination threshold value set by the user; wherein, each area is set with a regional light intensity safety illumination threshold value.

2. The urban lighting control method based on distributed illuminance according to claim 1 is characterized in that: Also includes: According to the real-time illumination field of the city generated by monitoring, it is determined that the illumination of each lighting sub-area does not fall below the preset illumination threshold of the illumination of the corresponding area, and then the illumination of each lighting sub-area in the future is obtained by using the big data analysis algorithm for analysis and prediction, and the real-time illumination field of the city in the future is generated accordingly; Predict the meteorological data for a period of time in the future based on the meteorological data collected in real time, and determine the preset illumination threshold of the corresponding regional illumination for a period of time in the future by combining the predicted meteorological data with the information of the future time period; determine whether there is a lighting sub-area whose illumination is lower than the preset illumination threshold of the corresponding regional illumination for a period of time in the future based on the predicted real-time illumination field of the city for a period of time in the future; if so, determine the corresponding lighting sub-area to be regulated, continue to statistically distinguish the adjacent lighting sub-areas and independent lighting sub-areas in all the lighting sub-areas to be regulated, and complete the regional illumination adjustment control according to the statistical distinction results.

3. The urban lighting control method based on distributed illuminance according to claim 1, characterized in that: Also includes: When dividing the scope of urban lighting areas, the type of each lighting sub-area is determined according to the location of each lighting sub-area; According to the type corresponding to each lighting sub-area, a corresponding number of light intensity sensors of the corresponding type is set and evenly deployed in each divided lighting sub-area; wherein the types of lighting sub-areas include: commercial area type, residential area type and public facility area type, and each type is matched with a corresponding number of light intensity sensors.

4. An urban lighting control system based on distributed illumination, characterized in that: include: A lighting area data acquisition module is preset to divide the scope of urban lighting areas, deploy light intensity sensors and meteorological sensors in each divided lighting sub-area, and collect and obtain light intensity data and meteorological data of each lighting sub-area; It is also used to generate a first control instruction for each independent lighting sub-area counted so that the lighting equipment in the lighting sub-area adjusts the illumination of the lighting sub-area to the preset illumination threshold of the corresponding area according to the first control instruction, and the lighting equipment at the location of the statistically obtained regional unit is the adjustment object; and to generate a second control instruction according to the linkage area illumination adjustment scheme so that the lighting equipment in the linkage area completes the linkage area illumination adjustment control according to the second control instruction, and the lighting equipment at the location of the regional unit corresponding to each area of ​​the linkage area obtained by statistics is the adjustment object; A real-time illumination field acquisition module for preset lighting areas is used to analyze the collected illumination data of each lighting sub-area using a big data analysis algorithm to generate a real-time illumination field for the city; The module for determining the lighting sub-areas to be regulated is used to monitor the generated real-time urban light illumination field, compare whether the light illumination of each lighting sub-area is lower than the preset light illumination threshold of the corresponding area, and dynamically match and adjust the preset light illumination threshold of each area according to the climate data in different time periods; Obtain lighting sub-areas whose illuminance is lower than a preset illuminance threshold of the corresponding area, record them as lighting sub-areas to be regulated, and statistically distinguish adjacent lighting sub-areas and independent lighting sub-areas among all lighting sub-areas to be regulated; the illuminance of each lighting sub-area refers to the average illuminance; The method is also used to compare whether the illuminance of each lighting sub-area is lower than a preset illuminance threshold of the illuminance of the corresponding area, obtain a sub-area whose illuminance is lower than the preset illuminance threshold of the illuminance of the corresponding area, and record it as the lighting sub-area to be regulated. The method is also used to compare whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the illuminance of the corresponding area, and also includes: judging whether the illuminance of the lighting sub-area was adjusted at the previous moment; if not, comparing the illuminance of each lighting sub-area at the current moment with the illuminance of the lighting sub-area at the previous moment in advance; if the difference between the two is less than the preset difference, continuing to compare whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the illuminance of the corresponding area, and obtaining a sub-area whose illuminance is lower than the preset illuminance threshold of the illuminance of the corresponding area. The sub-region corresponding to the preset illumination threshold of the regional illumination is recorded as the illumination sub-region to be regulated; if the difference between the two is greater than the preset difference, then temporarily stop continuing to compare whether the illumination of each illumination sub-region is lower than the preset illumination threshold of the illumination of the corresponding region, obtain the sub-region whose illumination is lower than the preset illumination threshold of the illumination of the corresponding region, and record it as the illumination sub-region to be regulated; when it is determined that the illumination is still lower than the preset illumination threshold of the illumination of the corresponding region at the next moment, continue to compare whether the illumination of each illumination sub-region is lower than the preset illumination threshold of the illumination of the corresponding region, obtain the sub-region whose illumination is lower than the preset illumination threshold of the illumination of the corresponding region, and record it as the illumination sub-region to be regulated; if it is performed, continue to compare each Whether the illuminance of each lighting sub-area is lower than the preset illuminance threshold of the corresponding area, obtaining the sub-area whose illuminance is lower than the preset illuminance threshold of the corresponding area, and recording it as the operation of the lighting sub-area to be regulated; It is also used to determine whether a request information for a regional light intensity preset illumination threshold set by a user is received; if received, the size of the regional light intensity preset illumination threshold requested by the user is compared with the regional light intensity safety illumination threshold, if it is less than, the user request is ignored, if it is greater than or equal to, the regional light intensity preset illumination threshold set by the user is used to replace the regional light intensity preset illumination threshold matched according to different time periods and climate data; wherein each area is set with a regional light intensity safety illumination threshold; The lighting sub-area control module to be controlled is used to generate a first control instruction for each independent lighting sub-area so that the lighting equipment in the lighting sub-area adjusts the illumination of the lighting sub-area to the preset illumination threshold of the corresponding area illumination according to the first control instruction; clustering is performed for adjacent lighting sub-areas, and the adjacent lighting sub-areas belonging to the same category are regionally linked, which are recorded as linkage areas; using the illumination compensation neural network model, the illumination compensation value of the adjacent area in the linkage area is obtained in the process of gradually adjusting the illumination of each area in the linkage area to the preset illumination threshold of the illumination of the corresponding area; using a multi-objective optimization algorithm, combined with the illumination of each area in the linkage area, the preset illumination threshold of the illumination of each area corresponding to the area, and the compensation value of the adjacent area in the linkage area in the process of adjusting the illumination of each area to the preset illumination threshold of the illumination of the corresponding area, to obtain the linkage area illumination adjustment plan so that the illumination of each area in the linkage area reaches the preset illumination threshold of the illumination of the corresponding area and the adjustment energy consumption is minimized; according to the linkage area illumination adjustment plan, a second control instruction is generated so that the lighting equipment in the linkage area completes the linkage area illumination adjustment control according to the second control instruction; It is also used to use a multi-objective optimization algorithm to combine the illumination of each area in the linkage area, the illumination preset threshold of each area's illumination corresponding to the area, and the compensation value of the adjacent area in the linkage area during the process of adjusting the illumination of each area to the preset illumination threshold of the illumination of the corresponding area, before obtaining the linkage area illumination adjustment plan, compare whether the illumination compensation value of the adjacent area in the linkage area is less than the preset illumination compensation value. If so, set the obtained illumination compensation value to 0; otherwise, retain the currently obtained illumination compensation value.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 3.

6. A computer device, characterized in that: The computer device comprises a memory, a processor and a program stored and executable on the memory, and the program implements the steps of the method according to any one of claims 1 to 3 when executed by the processor.

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