Solar street lamp control method and system and storage medium

Abstract

The invention relates to the technical field of solar street lamps, in particular to a control method and system of a solar street lamp and a storage medium. Comprising the following steps: firstly, establishing a three-dimensional environment model by taking a plurality of solar street lamps as a minimum control unit; the overlapping of illumination light rays between the solar street lamps is considered, and initial illumination adjustment parameters are generated in combination with the characteristics of the illumination area and the basic parameters of the solar street lamps; secondly, providing a first-order lighting parameter adjustment method, and analyzing the real-time monitoring video data and the real-time monitoring meteorological data by using a solar street lamp parameter adjustment model to realize dynamic adjustment of initial lighting adjustment parameters; and finally, providing a second-order illumination parameter adjustment method, evaluating the actual illumination effect of each region after the first-order adjustment, and adjusting the first-order illumination parameter according to the error between the actual illumination effect and the illumination expectation. By integrating the method, accurate control under the condition that a plurality of solar street lamps work together is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of solar street lamps, and in particular to a control method, system and storage medium for solar street lamps. Background Art

[0002] Street lights are mainly used for nighttime lighting to ensure road visibility and driving safety, help reduce nighttime accidents, improve a sense of security, and enhance the beauty of the community and the convenience of travel.

[0003] As a new type of sustainable lighting fixture, solar street lights use solar panels to collect and store energy, solving the problem that traditional street lights cannot provide lighting without grid access. Solar street lights not only reduce energy costs, but also reduce carbon emissions, and are suitable for parks, trails, and remote areas.

[0004] With the rapid development of Internet technology, relevant technicians have tried to combine Internet technology with solar street lights, aiming to precisely control solar street lights to optimize energy efficiency and extend the service life of the equipment. Through intelligent control systems, solar street lights can automatically adjust the brightness according to factors such as ambient light and temperature, ensuring sufficient lighting in different weather conditions while reducing energy waste.

[0005] In the prior art, most methods realize intelligent control of a single solar street light according to the surrounding environmental factors; however, in real scenarios, solar street lights are distributed in groups, that is, there are usually multiple solar street lights in one area and the solar street lights work at the same time; for example, on the road, solar street lights are arranged in an equidistant manner, which not only ensures uniform lighting effects, but also improves road safety. Therefore, the intelligent control of a single street light has limitations in practical applications and cannot achieve precise control effects.

[0006] To this end, the present invention provides a control method, system and storage medium for a solar street lamp. Summary of the invention

[0007] The purpose of the present invention is to provide a control method, system and storage medium for solar street lights for controlling solar street lights; mainly starting from the following points, firstly, a three-dimensional environmental model is established with the lighting range of multiple solar street lights as the minimum control unit; and initial lighting adjustment parameters are generated for the solar street lights in the three-dimensional environmental model; the initial lighting adjustment parameters are used to meet the minimum lighting requirements in different areas of the three-dimensional environmental model; secondly, the present invention proposes a solar street light parameter adjustment model to perform a first-order adjustment on the initial lighting adjustment parameters; the model collects real-time monitoring video and real-time meteorological data of the minimum control unit for analysis to obtain corresponding lighting adjustment coefficients; finally, the present invention proposes a second-order lighting parameter adjustment method to evaluate the actual lighting effect of each area after the first-order adjustment, and adjust the first-order lighting parameters according to the error between the actual lighting effect and the lighting expectation.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] In a first aspect, the present invention provides a control method for a solar street lamp, comprising:

[0010] The lighting range of multiple solar street lights is the minimum control unit;

[0011] Furthermore, a related three-dimensional environment model is established according to the minimum control unit; wherein the three-dimensional environment model runs on a remote server and is networked with the solar street light to control the dynamic adjustment of lighting parameters;

[0012] Furthermore, the three-dimensional environment model is marked according to the physical coordinates of the solar street lamp in the real scene;

[0013] Further, the parameters of each solar street light in the three-dimensional model are obtained; wherein the parameters of the solar street light include: height, power, luminous flux, light intensity, battery capacity and fault state; the fault state includes: lighting available and non-lighting available, represented by 1 and 0 respectively;

[0014] Further, obtaining natural lighting data of the minimum control unit;

[0015] Further, a property analysis is performed on each area in the three-dimensional environment model to obtain a common area and a special area;

[0016] Furthermore, the minimum lighting requirements are set for each area based on the property analysis results;

[0017] Further, different lighting expectations are set for the common area and the special area;

[0018] Further, the solar street light illumination contribution of each area is calculated according to the obstructions existing in the three-dimensional environment model;

[0019] Further, according to the natural lighting data, the physical coordinates and the solar street light parameters, the initial lighting adjustment parameters of each solar street light are obtained in combination with the lighting expectation of each area, the solar street light lighting contribution and the normalized relative overlapping lighting contribution; wherein the initial lighting adjustment parameters are used to adjust the current and voltage values ​​of the solar street light and ensure that the minimum lighting requirement is met;

[0020] The initial lighting adjustment parameters also include: obtaining the geometric illumination range of the solar street light in the three-dimensional environment model according to each of the solar street light parameters; using a geometric algorithm to calculate the light illumination overlapping area in the geometric illumination range; calculating the relative overlapping illumination contribution of each light illumination overlapping area; normalizing the relative overlapping illumination contribution to obtain a normalized relative overlapping illumination contribution; and substituting the normalized relative overlapping illumination contribution into the generation process of the initial lighting adjustment parameters.

[0021] Further, the initial lighting adjustment parameters are adjusted using a solar street light parameter adjustment model to obtain first-order lighting adjustment parameters;

[0022] Wherein, the solar street light parameter adjustment model includes:

[0023] A real-time information acquisition module, used to monitor the minimum control unit in real time, and obtain real-time monitoring video and real-time monitoring meteorological data respectively;

[0024] A data processing module is used to pre-process the real-time monitoring video and the real-time monitoring meteorological data to obtain standard real-time video data and standard real-time meteorological data respectively; wherein the data processing module includes: a video data processing unit and a meteorological data processing unit;

[0025] The video data processing unit includes: extracting video frames from the real-time monitoring video to obtain a first real-time monitoring video; performing denoising on the first real-time monitoring video to obtain a second real-time monitoring video; performing video enhancement on the second real-time monitoring video to obtain a third real-time monitoring video; performing target detection and segmentation on the third real-time monitoring video to obtain the standard real-time video data;

[0026] The meteorological data processing unit includes: performing outlier processing on the real-time monitoring meteorological data to obtain first real-time monitoring meteorological data; standardizing the first real-time monitoring meteorological data to obtain second real-time monitoring meteorological data; performing feature extraction on the second real-time monitoring meteorological data to obtain the standard real-time meteorological data; wherein the standard real-time meteorological data includes: any one standard real-time meteorological data of cloud cover, precipitation, humidity, wind speed, temperature and air quality.

[0027] A first lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time video data;

[0028] Wherein, the first lighting parameter impact analysis module includes: extracting key features of the target in the standard real-time data, including: target type, size feature, motion feature, shape feature, position feature and behavior feature;

[0029] Further, calculating the lighting requirements of the current scene according to the key features;

[0030] Further, a machine learning method is used to solve the adjustment relationship between the initial lighting adjustment parameter and the lighting demand to obtain a first lighting parameter adjustment coefficient;

[0031] A second lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time meteorological data;

[0032] Wherein, the second lighting parameter impact analysis module comprises: calculating the current meteorological lighting demand according to the standard real-time meteorological data;

[0033] Further, a nonlinear relationship between the standard real-time meteorological data and the current meteorological lighting demand is established;

[0034] Further, the initial lighting adjustment parameter is solved according to the nonlinear relationship to obtain a second lighting parameter adjustment coefficient;

[0035] A lighting adjustment coefficient calculation module, used to calculate a lighting adjustment coefficient based on the first lighting parameter adjustment coefficient and the second lighting parameter adjustment coefficient;

[0036] A lighting adjustment coefficient calculation module, used to calculate the lighting adjustment coefficient based on the output results of the first lighting parameter impact analysis module and the second lighting parameter impact analysis module;

[0037] The lighting parameter adjustment module is used to adjust the initial lighting adjustment parameter using the lighting adjustment coefficient to obtain the first-order lighting adjustment parameter.

[0038] Further, the lighting effect of the first-order lighting adjustment parameter is evaluated, and the first-order lighting adjustment parameter is adjusted according to the evaluation result to obtain the second-order lighting adjustment parameter;

[0039] The generation process of the second-order lighting adjustment parameters includes: collecting actual lighting effect data of each area after adjustment by the first-order lighting adjustment parameters, including: light intensity and distribution;

[0040] Further, a lighting effect evaluation is performed on each area according to the actual lighting effect data to obtain a lighting effect evaluation result;

[0041] Further, calculating an expected error between the lighting effect evaluation result and the lighting expectation;

[0042] Further, calculating a second-order lighting parameter adjustment coefficient according to the expected error;

[0043] Furthermore, the first-order lighting adjustment parameter is adjusted according to the second-order lighting parameter adjustment coefficient to obtain the second-order lighting adjustment parameter.

[0044] Furthermore, the solar street lamp in the minimum control unit is controlled according to the second-order lighting adjustment parameter.

[0045] In a second aspect, the present invention provides a control system for a solar street light, the system comprising: a control range generation unit, an environment model generation unit, a networking unit, a solar street light management unit, a data monitoring unit, a lighting parameter generation unit, a lighting parameter adjustment unit, a control unit, an evaluation unit and a feedback unit;

[0046] Wherein, the control range generating unit is used to generate a minimum control unit based on the lighting ranges of multiple solar street lamps;

[0047] The environment model generating unit is used to generate a three-dimensional environment model based on the real scene of the minimum control unit;

[0048] The networking unit is used to connect the physical solar street lamp in the minimum control unit with the three-dimensional environment model running on the remote server;

[0049] The solar street light management unit is used to manage the solar street light, including recording the physical coordinates, height, power, luminous flux, light intensity, battery capacity and fault status of the solar street light;

[0050] The data monitoring unit uses a plurality of monitoring devices to monitor the minimum control unit in real time and obtains meteorological data in real time through meteorological equipment;

[0051] The lighting parameter generating unit is used to generate the initial lighting parameters of the solar street lamp; specifically comprising: obtaining the natural lighting data of the minimum control unit;

[0052] Further, a property analysis is performed on each area in the three-dimensional environment model to obtain a common area and a special area;

[0053] Furthermore, the minimum lighting requirements are set for each area based on the property analysis results;

[0054] Further, different lighting expectations are set for the common area and the special area;

[0055] Further, the solar street light illumination contribution of each area is calculated according to the obstructions existing in the three-dimensional environment model;

[0056] Further, according to the natural lighting data, the physical coordinates and the solar street light parameters, the initial lighting adjustment parameters of each solar street light are obtained in combination with the lighting expectation of each area, the solar street light lighting contribution and the normalized relative overlapping lighting contribution; wherein the initial lighting adjustment parameters are used to adjust the current and voltage values ​​of the solar street light and ensure that the minimum lighting requirement is met;

[0057] The lighting parameter adjustment unit is used to adjust the lighting parameters of the solar street lamp, including: first-order lighting adjustment parameters and second-order lighting adjustment parameters

[0058] The first-order lighting adjustment parameter uses a solar street light parameter adjustment model to adjust the initial lighting adjustment parameter, and the specific process includes:

[0059] A real-time information acquisition module, used to monitor the minimum control unit in real time, and obtain real-time monitoring video and real-time monitoring meteorological data respectively;

[0060] A data processing module, used for preprocessing the real-time monitoring video and the real-time monitoring meteorological data to obtain standard real-time video data and standard real-time meteorological data respectively;

[0061] A first lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time video data;

[0062] Wherein, the first lighting parameter impact analysis module includes:

[0063] Extracting key features of the target in the standard real-time data, including: target type, size feature, motion feature, shape feature, position feature and behavior feature;

[0064] Calculating the target lighting requirements of the current scene based on the key features;

[0065] Using a machine learning method to solve the adjustment relationship between the initial lighting adjustment parameter and the lighting demand, to obtain a first lighting parameter adjustment coefficient;

[0066] A second lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time meteorological data;

[0067] Wherein, the second lighting parameter impact analysis module includes:

[0068] Calculate current meteorological lighting demand based on said standard real-time meteorological data;

[0069] Establishing a nonlinear relationship between the standard real-time meteorological data and the current meteorological lighting demand;

[0070] Solving the initial lighting adjustment parameter according to the nonlinear relationship to obtain a second lighting parameter adjustment coefficient;

[0071] A lighting adjustment coefficient calculation module, used to calculate a lighting adjustment coefficient based on the first lighting parameter adjustment coefficient and the second lighting parameter adjustment coefficient;

[0072] The lighting parameter adjustment module is used to adjust the initial lighting adjustment parameter using the lighting adjustment coefficient to obtain the first-order lighting adjustment parameter.

[0073] The process of generating the second-order lighting adjustment parameters includes:

[0074] Collecting actual lighting effect data of each area after adjustment by the first-order lighting adjustment parameters, including: light intensity and distribution;

[0075] The evaluation unit performs lighting effect evaluation on each area according to the actual lighting effect data to obtain a lighting effect evaluation result;

[0076] Calculating an expected error between the lighting effect evaluation result and the lighting expectation;

[0077] Calculating a second-order lighting parameter adjustment coefficient according to the expected error;

[0078] The first-order lighting adjustment parameter is adjusted according to the second-order lighting parameter adjustment coefficient to obtain the second-order lighting adjustment parameter.

[0079] The control unit is used to adjust the voltage and current according to the output result of the lighting parameter adjustment unit;

[0080] The evaluation unit is used to evaluate the lighting effect of the solar street lamp after the lighting parameters are adjusted;

[0081] The feedback unit is used to feed back the lighting parameters and lighting effects of the solar street lamp each time it is adjusted.

[0082] In a third aspect, the present invention proposes a control storage medium for a solar street light, wherein the control storage medium stores a solar street light intelligent control program, and when the solar street light intelligent control program is executed by a processor, the control process of the solar street light described in any one of the first aspect or the second aspect is implemented.

[0083] Compared with the prior art, the present invention has the following beneficial effects:

[0084] 1. The present invention proposes a control method for solar street lights based on a minimum control unit. The method uses the lighting range of multiple solar street lights as the control unit, which solves the problem that the existing technology does not take into account the interactivity of lights between solar street lights; it realizes the synchronous control of multiple solar street lights; the method not only reduces the energy consumption of solar street lights, but also plays a role in the precise control of multiple solar street lights.

[0085] 2. The present invention proposes a method for generating initial lighting adjustment parameters of solar street lights; this method obtains the solar street light parameters in the minimum control unit to initialize the initial street light lighting for the lighting needs of different types of areas; and takes into account the possible overlap between adjacent solar street lights, thereby further improving the control accuracy of the solar street lights.

[0086] 3. The present invention proposes a solar street light parameter adjustment model for first-order adjustment of initial lighting adjustment parameters; the model analyzes real-time monitoring data and real-time meteorological data, and considers the adjustment of street lights from two dimensions: environment and weather; this not only enables real-time dynamic control of solar street lights, but also improves the control accuracy of solar street lights according to actual conditions.

[0087] 4. The present invention proposes a second-order lighting parameter adjustment method for solar street lamps, which is used to correct the output results of the solar street lamp parameter adjustment model; this method evaluates the lighting effect of the solar street lamp after the first-order adjustment, and obtains the effectiveness of the lighting from multiple angles; and by calculating the error between the lighting effect and the lighting expectation of each area, the lighting parameters after the first-order adjustment are adjusted using the lighting expectation optimization algorithm; this not only improves the lighting quality, but also further improves the control accuracy of the solar street lamp. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] Figure 1 A flow chart of a control method of a solar street lamp provided by an embodiment of the present invention;

[0089] Figure 2A structural diagram of a control system for a solar street light provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0090] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0091] Solar street lights are a new type of lighting tool that uses solar panels to collect and store energy for lighting. Compared with traditional street lights, the advantages of solar street lights are that they use renewable energy, are environmentally friendly, energy-saving, flexible to install, and have low maintenance costs, making them an ideal lighting solution.

[0092] Nowadays, solar street lights are combined with Internet technology to form an intelligent street light system, which has functions such as data monitoring, remote control, intelligent adjustment and data analysis, improving lighting efficiency and urban management level. Through the intelligent control system, solar street lights can automatically adjust the brightness according to factors such as ambient light and temperature, ensuring sufficient lighting in different weather conditions while reducing energy waste.

[0093] In the existing technology, most methods are to achieve intelligent control of a single solar street light based on the surrounding environmental factors; however, in real scenarios, solar street lights are distributed in groups, and usually there are multiple solar street lights working together in one area. Therefore, the intelligent control of a single street light has limitations in practical applications and cannot achieve accurate control effects.

[0094] In order to further improve the accuracy of solar street light control and avoid energy waste, the present invention proposes a control method, system and storage medium for solar street lights; the invention adopts a two-stage adjustment scheme to achieve the optimal control of solar street lights; the implementation process of the present invention will be described in detail from the following embodiments.

[0095] Embodiment 1:

[0096] In the embodiment of the present application, the lighting control of the solar street lamp is performed by combining the method and system proposed in the present invention; see Figure 1 and Figure 2 content, Figure 1The content of the present invention is about the step flow of the implementation of the present invention, including: S10. Planning the minimum control unit; S20. Establishing a three-dimensional environment model; S30. Marking the position of the solar street lamp in the three-dimensional environment model; S40. Obtaining the parameters of the solar street lamp; S50. Generating initial lighting adjustment parameters; S60. Generating first-order lighting adjustment parameters; S70. Generating second-order lighting adjustment parameters; S80. Executing solar street lamp lighting. Figure 2 The structure diagram of the system of the present invention includes: a control range generation unit, an environment model generation unit, a networking unit, a solar street light management unit, a data monitoring unit, a lighting parameter generation unit, a lighting parameter adjustment unit, a control unit, an evaluation unit and a feedback unit; wherein the method step flow has a corresponding relationship with each unit of the system, and the following will be combined with Figure 1 and Figure 2 Provide explanation.

[0097] The minimum control unit of the solar street light of the present application embodiment is generated according to the control range generation unit of the system, corresponding to Figure 1 Step S10; wherein the minimum control unit refers to a cluster of multiple solar street lamps that can achieve the maximum lighting range;

[0098] In the embodiment of the present application, area A is taken as the target, and the lighting range of 5 adjacent solar street lamps is selected as the minimum control unit;

[0099] Further, the environment model generation unit of the system performs three-dimensional modeling according to the minimum control unit to obtain a three-dimensional environment model, corresponding to step S20;

[0100] The environment model generation unit creates a virtual interface to connect with the three-dimensional modeling software; the modeling is realized by collecting the data of solar street lights, terrain, landforms and buildings of the minimum control unit in the actual environment and importing them into the three-dimensional modeling software; the three-dimensional environment model is run on a remote server by the networking unit of the system, and the virtual solar street lights in the model are connected to the solar street lights in reality through the network, so as to realize synchronous control;

[0101] Further, according to step S30, the physical coordinates of the solar street lamp in the minimum control unit are mapped in the three-dimensional environment model, and the virtual coordinates are marked;

[0102] Refer to Table 1, which shows the physical coordinates of the solar street lamp in the minimum control unit of the embodiment of the present application and the corresponding virtual coordinates in the three-dimensional environment model;

[0103] Table 1 Physical coordinates and virtual coordinates of the solar street light with the smallest control unit in zone A

[0104] Solar Street Light Number Physical coordinates (X, Y, Z) Virtual coordinates (X', Y', Z') L1 (10.5,20.3,0) (100.5,200.3,0) L2 (12.1,20.7,0) (102.1,200.7,0) L3 (13.8,20.5,0) (103.8,200.5,0) L4 (11.0,22.1,0) (101.0,202.1,0) L5 (12.6,21.8,0) (102.6,201.8,0)

[0105] Further, the solar street light parameters of L1, L2, L3, L4 and L5 are obtained from the solar street light management unit of the system, corresponding to step S40; wherein the solar street light parameters include: height, power, luminous flux, light intensity, battery capacity and fault status; refer to Table 2, which gives the parameters of the solar street light in the embodiment of the present application;

[0106] Table 2 Solar Street Light Parameters Description

[0107]

[0108] In Table 2, the fault status of the solar street light is described, "1" means it can be illuminated, and "0" means it cannot be illuminated;

[0109] Furthermore, the lighting parameter generation unit of the system generates initial lighting parameters for each solar street lamp in the minimum control unit, corresponding to step S50; the specific process is:

[0110] Acquire natural light data of the minimum control unit as an auxiliary light source; wherein the natural light data is collected using a light sensor;

[0111] Furthermore, the lighting areas included in the three-dimensional environment model are analyzed for their properties and divided into ordinary areas and special areas; the ordinary areas involved in the embodiment of the present application include places where regular pedestrians pass, such as streets and parks; the special areas include important intersections, schools and hospitals;

[0112] Furthermore, the property analysis results set the minimum lighting requirements for each area, as shown in Table 3;

[0113] Table 3 Description of the minimum lighting requirements for the smallest control unit in zone A

[0114] Region Type Minimum lighting requirement (lx) Remark General area 100 Ensure basic safety lighting Special Areas 150 Improve safety, especially at night

[0115] Table 3 provides an explanation of the minimum lighting requirements for ordinary areas and special areas, which is only required for the explanation of the embodiments of the present application. There is no unified setting for the minimum lighting requirements, and the value can be set specifically by collecting feedback from citizens, and is set for different areas, such as hospitals, schools, and parks, based on actual conditions.

[0116] Furthermore, different lighting expectations are set for the general area and the special area; wherein the process of setting the lighting expectation includes:

[0117] (1) Regional description

[0118] Ordinary areas: including regular pedestrian areas such as streets and parks; the flow of people is relatively stable and the demand is moderate.

[0119] Special areas: including important intersections, schools, hospitals, etc.; with high traffic volume and higher requirements for safety and visibility.

[0120] (2) Demand Analysis

[0121] Research and data collection: Collect user feedback and historical lighting data to understand the usage and lighting needs of each area; conduct on-site surveys to record traffic, activity types and time periods.

[0122] (3) Lighting expectation setting

[0123] Based on demand analysis, basic lighting expectations for each area are obtained.

[0124] Furthermore, the solar street light illumination contribution of each area is calculated according to the obstructions in the three-dimensional environment model; wherein the calculation formula of the solar street light illumination contribution is expressed as: Among them, SRLC i,j It is expressed as the contribution of solar street light i to the solar street light illumination in area j; I i Expressed as the luminous flux of solar street light i; η i Expressed as the efficiency of solar street light i; A j It is represented as the effective irradiation area of ​​region j; d is represented as the distance; O is represented as the occlusion factor;

[0125] Further, the initial lighting adjustment parameters of each solar street lamp in the three-dimensional environment model are calculated; wherein the initial lighting adjustment parameters involve the overlapping parts of lights between adjacent solar street lamps, so the influence of light overlap should be considered in the process of generating parameter lighting parameters;

[0126] The geometric illumination range of the solar street lamp in the three-dimensional environment model is obtained according to the parameters of each solar street lamp; wherein the process of obtaining the geometric illumination range is as follows: using the three-dimensional environment model to define the position and direction of the light source; according to the actual luminous characteristics of the solar street lamp, including light attenuation, distribution and beam angle; using the illumination analysis tool to simulate and calculate the propagation and distribution of light in the three-dimensional environment model; and visualizing the geometric illumination range on the three-dimensional environment model; wherein the geometric illumination range is represented by an elliptical shape;

[0127] Further, a geometric algorithm is used to calculate the light illumination overlap area in the geometric illumination range;

[0128] The overlapping areas of the light illumination overlapping areas use an intersection algorithm to check the geometric intersection of each geometric illumination range, specifically: using an ellipse method to detect the intersection, the equation is: Where x represents the horizontal coordinate of the center of the ellipse; y represents the vertical coordinate of the center of the ellipse; (h x ,h y ) represents the center position of the ellipse; a and b represent the length of the horizontal semi-axis and the vertical semi-axis of the ellipse respectively;

[0129] For two ellipses, first check the distance between their centers. If the distance is less than the sum of the major semi-axes of the two ellipses, then perform an intersection calculation;

[0130] Use polygon intersection algorithm to solve the intersection area of ​​ellipses;

[0131] For intersecting elliptical regions, the area of ​​the overlapping region is calculated using a numerical integration method;

[0132] Further, the relative overlapping illumination contribution of each light illuminating the overlapping area is calculated;

[0133] The calculation process of the relative overlapping illumination contribution is as follows:

[0134] Set the solar street light intensity to: Among them, LS(h x ,h y ) represents the light intensity to the center of the ellipse; cd represents the distance from the light to the center of the ellipse; P represents the power of the solar street light;

[0135] Calculate the total light intensity of the overlapping area: LS i,j (h x ,h y )=LS i (h x ,h y )+LS j (h x ,h y ), where LS i,j (h x ,h y ) represents the total illumination intensity of solar street light i and solar street light j in the overlapping area; LS i (h x ,h y ) represents the illumination intensity of solar street lamp i to the center of the ellipse; LS j (h x ,h y ) represents the illumination intensity of solar street lamp j to the center point of the ellipse;

[0136] Calculate the lighting contribution: C i =∫ R LS i (h x ,h y )dA; where C i represents the lighting contribution of solar street lamp i in the overlapping area R; R represents the overlapping area; dAb represents the tiny area element of the overlapping area R;

[0137] The relative overlapping illumination contribution of each solar street lamp is calculated as: Among them, R i It is expressed as the relative overlapping illumination contribution of solar street lamp i in the overlapping area R; C total It is expressed as the sum of the illumination contributions of the overlapping area R;

[0138] Further, the relative overlapping illumination contribution is normalized to obtain a normalized relative overlapping illumination contribution;

[0139] In the embodiment of the present application, the overlapping factor of lighting light between solar street lamps in real scenes is used to generate initial lighting adjustment parameters; among them, the overlapping factor of lighting light mainly considers the light contribution of solar street lamps in the overlapping area. Such a precise control scheme can not only improve the lighting quality, but also achieve more efficient energy management.

[0140] Further, according to the natural lighting data, the physical coordinates and the solar street light parameters, the initial lighting adjustment parameters of each solar street light are obtained in combination with the lighting expectation of each area, the solar street light lighting contribution and the normalized relative overlapping lighting contribution;

[0141] Refer to Table 4, which gives the initial lighting adjustment parameters of the solar street lamp in the embodiment of the present application;

[0142] Table 4 Initial lighting adjustment parameters of solar street lights with minimum control unit in zone A

[0143]

[0144] In Table 4, the solar street lamp L3 cannot be adjusted due to a fault, so all the data about the solar street lamp L3 in Table 4 are 0;

[0145] Further, the lighting parameter adjustment unit adjusts the generated initial lighting adjustment parameters to obtain first-order lighting adjustment parameters, which corresponds to the above step S60;

[0146] The first-order lighting adjustment parameters are generated according to the real-time monitoring of the minimum control unit by the solar street light parameter adjustment model based on the actual scene; the specific process is:

[0147] A real-time information acquisition module, i.e., a data monitoring unit of the system, is used to acquire real-time monitoring video and real-time monitoring meteorological data; wherein the data monitoring unit is mainly composed of a plurality of night vision high-definition cameras and meteorological equipment;

[0148] Furthermore, the real-time data acquired by the data monitoring unit is preprocessed by a data processing module;

[0149] The data processing module includes: a video data processing unit and a meteorological data processing unit;

[0150] The video data processing unit includes: extracting video frames from the real-time monitoring video to obtain a first real-time monitoring video; performing denoising on the first real-time monitoring video to obtain a second real-time monitoring video; performing video enhancement on the second real-time monitoring video to obtain a third real-time monitoring video; performing target detection and segmentation on the third real-time monitoring video to obtain the standard real-time video data;

[0151] The meteorological data processing unit includes: performing outlier processing on the real-time monitoring meteorological data to obtain first real-time monitoring meteorological data; standardizing the first real-time monitoring meteorological data to obtain second real-time monitoring meteorological data; performing feature extraction on the second real-time monitoring meteorological data to obtain the standard real-time meteorological data; wherein the standard real-time meteorological data includes: any one standard real-time meteorological data of cloud cover, precipitation, humidity, wind speed, temperature and air quality.

[0152] In the embodiment of the present application, by preprocessing the real-time monitoring video data and the real-time monitoring meteorological data in the minimum control unit, this not only improves the quality and availability of the data, but also provides strong support for real-time lighting management.

[0153] Furthermore, the first lighting parameter impact analysis module performs solar street light analysis under standard real-time video data to obtain a first lighting parameter adjustment coefficient. The analysis process is:

[0154] Extracting key features of the target in the standard real-time data, including: target type, size feature, motion feature, shape feature, position feature and behavior feature;

[0155] Among them, target type: classify targets into different types such as people, vehicles and animals; size characteristics: record the target's height, width, area and other size information; motion characteristics: analyze the target's speed, acceleration and movement direction; shape characteristics: identify the target's shape (such as rectangle, circle, complex shape) and its contour characteristics; shape characteristics: identify the target's shape (such as rectangle, circle, complex shape) and its contour characteristics; behavior characteristics: observe and analyze the target's behavior patterns (such as still, moving, gathering and dispersion, etc.).

[0156] Calculating the target lighting requirement of the current scene according to the key features; wherein the target lighting requirement is based on the standard of satisfying the minimum lighting requirement of most target objects in the minimum control unit;

[0157] Using a machine learning method to solve the adjustment relationship between the initial lighting adjustment parameter and the lighting demand, to obtain a first lighting parameter adjustment coefficient;

[0158] The machine learning method for solving the first lighting parameter adjustment coefficient adopts a trained decision tree model; the decision tree model trains model parameters by using historical lighting data, including initial lighting parameters, target features, and actual lighting requirements as training data;

[0159] Furthermore, the second lighting parameter impact analysis module performs solar street light analysis under standard real-time meteorological data to obtain the second lighting parameter adjustment coefficient. The analysis process is:

[0160] Calculate current meteorological lighting demand based on said standard real-time meteorological data;

[0161] A nonlinear relationship between the standard real-time meteorological data and the current meteorological lighting demand is established; wherein the nonlinear relationship can be obtained by a nonlinear function, that is, in, It is represented as a nonlinear relationship mapping between the standard real-time meteorological data and the current meteorological lighting demand; f() is represented as a nonlinear function; MLD is represented as the current meteorological lighting demand; SRTMD is represented as the standard real-time meteorological data;

[0162] Solving the initial lighting adjustment parameter according to the nonlinear relationship to obtain a second lighting parameter adjustment coefficient;

[0163] Further, a lighting adjustment coefficient calculation module calculates a lighting adjustment coefficient according to the first lighting parameter adjustment coefficient and the second lighting parameter adjustment coefficient; wherein the lighting adjustment coefficient calculation module is expressed by a formula: Wherein, LC represents the lighting adjustment coefficient; LC1 represents the first lighting parameter adjustment coefficient; LC2 represents the second lighting parameter adjustment coefficient; and Expressed as weight coefficient;

[0164] Further, the initial lighting adjustment parameter is adjusted by the lighting parameter adjustment module to obtain the first-order lighting adjustment parameter;

[0165] In the embodiment of the present application, a solar street light parameter adjustment model is used for the first-order adjustment of the initial lighting adjustment parameters; in the model, the real-time monitoring video and real-time meteorological data in the minimum control unit are analyzed respectively; the real-time monitoring video analysis can identify the flow of pedestrians and vehicles, so as to judge the changes in lighting needs; the real-time meteorological data analysis can adapt to different environmental needs and make changes in lighting; the combination of the above two aspects significantly enhances the intelligence, flexibility and effectiveness of the solar street light control system.

[0166] Furthermore, the evaluation unit of the system is used to evaluate the lighting effect of the solar street lamp after the first-order lighting adjustment parameter is adjusted, and the lighting parameter adjustment unit is used to perform a second-order adjustment according to the evaluation result, corresponding to Figure 1 The specific process includes:

[0167] Collect the actual lighting effect data of each area after the first-order lighting adjustment parameters are adjusted, including: light intensity and distribution; refer to Table 5, which shows the lighting effect of the solar street lamp after the first-order adjustment;

[0168] Table 5 Lighting effect of solar street light with minimum control unit in zone A after first-order adjustment

[0169]

[0170] Further, a lighting effect evaluation is performed on each area according to the actual lighting effect data to obtain a lighting effect evaluation result;

[0171] Among them, relevant lighting effect evaluation standards are set for each area for lighting effect evaluation; refer to Table 6, which involves a series of evaluation criteria descriptions;

[0172] Table 6 Description of evaluation criteria

[0173] Evaluation Criteria describe Lighting intensity Set minimum and ideal lighting intensity based on area type Illumination uniformity Score assessing the uniformity of lighting Blind spot situation Are there areas with insufficient lighting? Satisfaction User evaluation of lighting effects, usually collected through questionnaires or feedback

[0174] Further, calculating an expected error between the lighting effect evaluation result and the lighting expectation;

[0175] Further, a second-order lighting parameter adjustment coefficient is calculated according to the expected error; wherein the calculation process of the second-order lighting parameter adjustment coefficient is: Wherein, k represents the second-order lighting parameter adjustment coefficient; ELRV represents the expected lighting demand; ATLV represents the actual lighting after the first-order adjustment; APIV represents the adjustment parameter impact value;

[0176] Furthermore, the first-order lighting adjustment parameter is adjusted according to the second-order lighting parameter adjustment coefficient to obtain the second-order lighting adjustment parameter.

[0177] In the example of the present application, a second-order adjustment is performed on the lighting parameters of the solar street lamp after the first-order adjustment; the second-order adjustment process evaluates the lighting effect after the first-order adjustment from multiple angles; and by calculating the error between the lighting effect and the lighting expectation of each area, the lighting parameters after the first-order adjustment are adjusted using the lighting expectation optimization algorithm; this not only improves the lighting quality, but also further improves the control accuracy of the solar street lamp.

[0178] In the system described Figure 2 The control unit realizes the output of voltage and current after each lighting parameter adjustment, and realizes the lighting of the minimum control unit, corresponding to step S80;

[0179] Furthermore, after each execution of solar street lamp lighting, the corresponding lighting parameters and lighting effects are fed back by the feedback system.

[0180] In the embodiment of the present application, the solar street lights are controlled by taking the five solar street lights in area A as the minimum control unit; the main steps include: first, establishing a relevant three-dimensional environmental model with the five solar street lights as the minimum control unit, and the real model of the model simulates the actual scene; and taking into account the overlapping of the lights between the solar street lights, the initial lighting adjustment parameters are generated in combination with the basic parameters of the solar street lights and the properties of the lighting area; secondly, in order to further improve the control accuracy of the solar street lights, the present invention also proposes a first-order lighting parameter adjustment method and a second-order lighting parameter adjustment method; wherein, the first-order lighting parameter adjustment method uses the solar street light parameter adjustment model to analyze the real-time monitoring video data and real-time monitoring meteorological data of the minimum control unit, and realizes the first-order adjustment of the initial lighting adjustment parameters dynamically; the second-order lighting parameter adjustment method evaluates the actual lighting effect of each area after the first-order adjustment, and adjusts the first-order lighting parameters according to the error between the actual lighting effect and the lighting expectation; finally, the lighting task is performed according to the lighting parameters adjusted multiple times; the above methods are combined to realize the precise control of multiple solar street lights under the joint lighting operation.

[0181] Embodiment 2:

[0182] In the first embodiment, the method and system proposed by the present invention realize the control of the solar street lamps of the minimum control unit in the A area; in order to further illustrate the effectiveness of the present invention, in the second embodiment, the number of solar street lamps in the minimum control unit is increased to expand the lighting range; the specific control is as follows:

[0183] The minimum control unit is 8 solar street light lighting ranges;

[0184] Further, establishing a related three-dimensional environment model according to the minimum control unit;

[0185] Furthermore, the three-dimensional environment model is marked according to the physical coordinates of the solar street lamp in the real scene;

[0186] Further, the parameters of each solar street light in the three-dimensional model are obtained; wherein the parameters of the solar street light include: height, power, luminous flux, light intensity, battery capacity and fault state; the fault state includes: lighting available and non-lighting available, represented by 1 and 0 respectively;

[0187] Refer to Table 7, which shows the parameters of the solar street light expanded on the basis of Example 1;

[0188] Table 7 Explanation of the expansion parameters of solar street lights

[0189]

[0190] Table 7 expands three solar street light parameter descriptions based on Table 2, namely L6, L7 and L8; among them, the solar street light numbered L8 is a fault light;

[0191] Further, obtaining natural light data of the minimum control unit;

[0192] Further, a property analysis is performed on each area in the three-dimensional environment model to obtain a common area and a special area;

[0193] Furthermore, the minimum lighting requirements are set for each area based on the property analysis results;

[0194] Further, different lighting expectations are set for the common area and the special area;

[0195] Further, the solar street light illumination contribution of each area is calculated according to the obstructions existing in the three-dimensional environment model;

[0196] Further, according to the natural lighting data, the physical coordinates and the solar street light parameters, the initial lighting adjustment parameters of each solar street light are obtained in combination with the lighting expectation of each area, the solar street light lighting contribution and the normalized relative overlapping lighting contribution; wherein the initial lighting adjustment parameters are used to adjust the current and voltage values ​​of the solar street light and ensure that the minimum lighting requirement is met;

[0197] See Table 8, which shows the initial lighting adjustment parameters of the embodiment of the present application;

[0198] Table 8 Initial lighting adjustment parameters for expanding the number of solar street lights

[0199]

[0200] Table 8 shows the changes in initial lighting parameters after the expansion of solar street lights. For example, the output power, irradiation range (long semi-axis), irradiation range (short semi-axis) and initial lighting intensity of the solar street light numbered L1 have changed compared with the data in Table 4, which are: 35W, 9m, 6m and 160lx; the solar street lights numbered L3 and L8 cannot be controlled because of faults;

[0201] The initial lighting adjustment parameters also include: obtaining the geometric illumination range of the solar street light in the three-dimensional environment model according to each of the solar street light parameters; using a geometric algorithm to calculate the light illumination overlapping area in the geometric illumination range; calculating the relative overlapping illumination contribution of each light illumination overlapping area; normalizing the relative overlapping illumination contribution to obtain a normalized relative overlapping illumination contribution; and substituting the normalized relative overlapping illumination contribution into the generation process of the initial lighting adjustment parameters.

[0202] Further, the initial lighting adjustment parameters are adjusted using a solar street light parameter adjustment model to obtain first-order lighting adjustment parameters;

[0203] Wherein, the solar street light parameter adjustment model includes:

[0204] A real-time information acquisition module, used to monitor the minimum control unit in real time, and obtain real-time monitoring video and real-time monitoring meteorological data respectively;

[0205] A data processing module, used for preprocessing the real-time monitoring video and the real-time monitoring meteorological data to obtain standard real-time video data and standard real-time meteorological data respectively;

[0206] A first lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time video data;

[0207] Wherein, the first lighting parameter impact analysis module includes:

[0208] Extracting key features of the target in the standard real-time data, including: target type, size feature, motion feature, shape feature, position feature and behavior feature;

[0209] Further, calculating the lighting requirements of the current scene according to the key features;

[0210] Further, a machine learning method is used to solve the adjustment relationship between the initial lighting adjustment parameter and the lighting demand to obtain a first lighting parameter adjustment coefficient;

[0211] A second lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time meteorological data;

[0212] Wherein, the second lighting parameter impact analysis module includes:

[0213] Calculate current meteorological lighting demand based on said standard real-time meteorological data;

[0214] Further, a nonlinear relationship between the standard real-time meteorological data and the current meteorological lighting demand is established;

[0215] Further, the initial lighting adjustment parameter is solved according to the nonlinear relationship to obtain a second lighting parameter adjustment coefficient;

[0216] A lighting adjustment coefficient calculation module, used to calculate a lighting adjustment coefficient based on the first lighting parameter adjustment coefficient and the second lighting parameter adjustment coefficient;

[0217] A lighting adjustment coefficient calculation module, used to calculate the lighting adjustment coefficient based on the output results of the first lighting parameter impact analysis module and the second lighting parameter impact analysis module;

[0218] The lighting parameter adjustment module is used to adjust the initial lighting adjustment parameter using the lighting adjustment coefficient to obtain the first-order lighting adjustment parameter.

[0219] Further, the lighting effect of the first-order lighting adjustment parameter is evaluated, and the first-order lighting adjustment parameter is adjusted according to the evaluation result to obtain the second-order lighting adjustment parameter;

[0220] The process of generating the second-order lighting adjustment parameters includes:

[0221] Collecting actual lighting effect data of each area after adjustment by the first-order lighting adjustment parameters, including: light intensity and distribution;

[0222] Further, a lighting effect evaluation is performed on each area according to the actual lighting effect data to obtain a lighting effect evaluation result;

[0223] Further, calculating an expected error between the lighting effect evaluation result and the lighting expectation;

[0224] Further, calculating a second-order lighting parameter adjustment coefficient according to the expected error;

[0225] Furthermore, the first-order lighting adjustment parameter is adjusted according to the second-order lighting parameter adjustment coefficient to obtain the second-order lighting adjustment parameter.

[0226] Furthermore, the solar street lamp in the minimum control unit is controlled according to the second-order lighting adjustment parameter.

[0227] Embodiment three:

[0228] A control storage medium for a solar street lamp, wherein an intelligent control program for a solar street lamp is stored on the control storage medium. When the intelligent control program for a solar street lamp is executed by a processor, the control process of all solar street lamps disclosed in the first embodiment is realized.

[0229] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A control method for solar street lamps, It is characterized in that include: Taking the lighting range of multiple solar street lamps as the minimum control unit; establishing a three-dimensional environmental model according to the minimum control unit; Mark the three-dimensional environmental model according to the physical coordinates of the solar street light in the real scene; obtain the parameters of the solar street light; wherein the parameters of the solar street light include: height, power, luminous flux, light intensity, battery capacity and fault status; obtain the natural lighting data of the minimum control unit; perform property analysis on each area in the three-dimensional environmental model to obtain ordinary areas and special areas; set the minimum lighting requirement for each area according to the property analysis results; set different lighting expectations for the ordinary areas and the special areas; calculate the solar street light illumination contribution of each area according to the obstructions in the three-dimensional environmental model; obtain the initial lighting adjustment parameters of each solar street light according to the natural lighting data, the physical coordinates and the solar street light parameters, combined with the lighting expectations of each area, the solar street light illumination contribution and the normalized relative overlapping illumination contribution; Using a solar street light parameter adjustment model to adjust the initial lighting adjustment parameters to obtain first-order lighting adjustment parameters; Evaluating the lighting effect of the first-order lighting adjustment parameter, and adjusting the first-order lighting adjustment parameter according to the evaluation result to obtain the second-order lighting adjustment parameter; The solar street lamp in the minimum control unit is controlled according to the second-order lighting adjustment parameters.

2. A method for controlling a solar street lamp according to claim 1, It is characterized in that The initial lighting adjustment parameters also include: Acquire the geometric illumination range of the solar street lamp in the three-dimensional environment model according to each of the solar street lamp parameters; Calculating the light illumination overlap area in the geometric illumination range by using a geometric algorithm; Calculate the relative overlapping lighting contribution of each light in the overlapping area; A normalization operation is performed on the relative overlapping illumination contribution to obtain the normalized relative overlapping illumination contribution.

3. A control method for a solar street lamp according to claim 1, It is characterized in that The solar street light parameter adjustment model includes: A real-time information acquisition module, used to monitor the minimum control unit in real time, and obtain real-time monitoring video and real-time monitoring meteorological data respectively; A data processing module, used for preprocessing the real-time monitoring video and the real-time monitoring meteorological data to obtain standard real-time video data and standard real-time meteorological data respectively; A first lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time video data; Wherein, the first lighting parameter impact analysis module includes: Extracting key features of the target in the standard real-time data, including: target type, size feature, motion feature, shape feature, position feature and behavior feature; Calculating the target lighting requirements of the current scene based on the key features; Using a machine learning method to solve the adjustment relationship between the initial lighting adjustment parameter and the lighting demand, to obtain a first lighting parameter adjustment coefficient; A second lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time meteorological data; Wherein, the second lighting parameter impact analysis module includes: Calculate current meteorological lighting demand based on said standard real-time meteorological data; Establishing a nonlinear relationship between the standard real-time meteorological data and the current meteorological lighting demand; Solving the initial lighting adjustment parameter according to the nonlinear relationship to obtain a second lighting parameter adjustment coefficient; a lighting adjustment coefficient calculation module, which calculates a lighting adjustment coefficient according to the first lighting parameter adjustment coefficient and the second lighting parameter adjustment coefficient; The lighting parameter adjustment module adjusts the initial lighting adjustment parameter according to the lighting adjustment coefficient to obtain the first-order lighting adjustment parameter.

4. A control method for a solar street lamp according to claim 3, It is characterized in that The data processing module includes: a video data processing unit and a meteorological data processing unit; The video data processing unit includes: extracting video frames from the real-time monitoring video to obtain a first real-time monitoring video; performing denoising on the first real-time monitoring video to obtain a second real-time monitoring video; performing video enhancement on the second real-time monitoring video to obtain a third real-time monitoring video; performing target detection and segmentation on the third real-time monitoring video to obtain the standard real-time video data; The meteorological data processing unit includes: performing outlier processing on the real-time monitoring meteorological data to obtain first real-time monitoring meteorological data; standardizing the first real-time monitoring meteorological data to obtain second real-time monitoring meteorological data; performing feature extraction on the second real-time monitoring meteorological data to obtain the standard real-time meteorological data; wherein the standard real-time meteorological data includes: any one standard real-time meteorological data of cloud cover, precipitation, humidity, wind speed, temperature and air quality.

5. A method for controlling a solar street lamp according to claim 1, It is characterized in that The generation process of the second-order lighting adjustment parameters includes: Collecting actual lighting effect data of each area after adjustment by the first-order lighting adjustment parameters, including: light intensity and distribution; Performing a lighting effect evaluation on each area according to the actual lighting effect data to obtain a lighting effect evaluation result; Calculating an expected error between the lighting effect evaluation result and the lighting expectation; Calculating a second-order lighting parameter adjustment coefficient according to the expected error; The first-order lighting adjustment parameter is adjusted according to the second-order lighting parameter adjustment coefficient to obtain the second-order lighting adjustment parameter.

6. A control system for solar street lights. It is characterized in that The system includes: a control range generation unit, which is used to generate a minimum control unit with the lighting range of multiple solar street lamps; an environmental model generation unit, which is used to generate a three-dimensional environmental model with the real scene of the minimum control unit; a networking unit, which is used to connect the physical solar street lamp of the minimum control unit, the three-dimensional environmental model and the remote server through a wireless network; a solar street lamp management unit, which is used to manage the solar street lamp, including recording the physical coordinates, height, power, luminous flux, light intensity, battery capacity and fault status of the solar street lamp; a data monitoring unit, which uses multiple monitoring devices to monitor the minimum control unit in real time and obtains meteorological data in real time through meteorological equipment; a lighting parameter generation unit, which is used to generate initial lighting parameters of the solar street lamp; a lighting parameter adjustment unit, which is used to adjust the lighting parameters of the solar street lamp, including: first-order lighting adjustment parameters and second-order lighting adjustment parameters; a control unit, which is used to control voltage and current according to the output result of the lighting parameter adjustment unit; an evaluation unit, which is used to evaluate the lighting effect after the lighting parameters of the solar street lamp are adjusted; and a feedback unit, which is used to feedback the lighting parameters and lighting effects of the solar street lamp each time it is adjusted.

7. A solar street light control system according to claim 6, It is characterized in that The lighting parameter generating unit comprises: Acquiring natural lighting data of the minimum control unit; Performing property analysis on each area in the three-dimensional environment model to obtain common areas and special areas; Set minimum lighting requirements for each area based on the results of the property analysis; Setting different lighting expectations for the general area and the special area; Calculate the solar street light illumination contribution of each area according to the obstructions existing in the three-dimensional environment model; According to the natural lighting data, the physical coordinates and the solar street light parameters, the initial lighting adjustment parameters of each solar street light are obtained in combination with the lighting expectations of each area, the solar street light lighting contribution and the normalized relative overlapping lighting contribution; wherein the initial lighting adjustment parameters are used to adjust the current and voltage values ​​of the solar street light and ensure that the minimum lighting requirements are met.

8. A solar street light control system according to claim 6, It is characterized in that The first-order lighting adjustment parameter uses a solar street light parameter adjustment model to adjust the initial lighting adjustment parameter, and the specific process includes: A real-time information acquisition module, used to monitor the minimum control unit in real time, and obtain real-time monitoring video and real-time monitoring meteorological data respectively; A data processing module, used for preprocessing the real-time monitoring video and the real-time monitoring meteorological data to obtain standard real-time video data and standard real-time meteorological data respectively; A first lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time video data; Wherein, the first lighting parameter impact analysis module includes: Extracting key features of the target in the standard real-time data, including: target type, size feature, motion feature, shape feature, position feature and behavior feature; Calculating the target lighting requirements of the current scene based on the key features; Using a machine learning method to solve the adjustment relationship between the initial lighting adjustment parameter and the lighting demand, to obtain a first lighting parameter adjustment coefficient; A second lighting parameter impact analysis module, used for performing solar street light lighting analysis on the standard real-time meteorological data; Wherein, the second lighting parameter impact analysis module includes: Calculate current meteorological lighting demand based on said standard real-time meteorological data; Establishing a nonlinear relationship between the standard real-time meteorological data and the current meteorological lighting demand; Solving the initial lighting adjustment parameter according to the nonlinear relationship to obtain a second lighting parameter adjustment coefficient; A lighting adjustment coefficient calculation module, used to calculate a lighting adjustment coefficient based on the first lighting parameter adjustment coefficient and the second lighting parameter adjustment coefficient; The lighting parameter adjustment module is used to adjust the initial lighting adjustment parameter using the lighting adjustment coefficient to obtain the first-order lighting adjustment parameter.

9. A solar street light control system according to claim 6, It is characterized in that The generation process of the second-order lighting adjustment parameters includes: Collecting actual lighting effect data of each area after adjustment by the first-order lighting adjustment parameters, including: light intensity and distribution; The evaluation unit performs lighting effect evaluation on each area according to the actual lighting effect data to obtain a lighting effect evaluation result; Calculating the expected error between the lighting effect evaluation result and the lighting expectation; Calculating a second-order lighting parameter adjustment coefficient according to the expected error; The first-order lighting adjustment parameter is adjusted according to the second-order lighting parameter adjustment coefficient to obtain the second-order lighting adjustment parameter.

10. A control storage medium for solar street lights, It is characterized in that The control storage medium stores a solar street light intelligent control program, and when the solar street light intelligent control program is executed by the processor, the control method of the solar street light according to any one of claims 1 to 5 is implemented.

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