Planning construction method and device for photovoltaic panel in photovoltaic power station

Abstract

The invention provides a planning and construction method and device for a photovoltaic panel in a photovoltaic power station, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: collecting vegetation growth distribution, carrying out the vegetation growth analysis in combination with soil feature information, obtaining the vegetation shielding rate and vegetation maintainability information, and continuing to carry out the optimization to obtain an optimal construction region; in the optimal construction area, dust migration distribution is collected, analysis is carried out in combination with the construction angle, and the dust shielding rate is obtained; meteorological data are collected, power generation prediction is carried out in combination with the construction angle, the dust shielding rate and the vegetation shielding rate, photovoltaic power generation information is obtained, and optimization continues to be carried out to obtain the optimal construction angle. According to the invention, the technical problem that the accuracy and rationality of the photovoltaic panel layout are poor due to the lack of comprehensive consideration of environmental factors in a construction area in the prior art can be solved, the scientificity, rationality and accuracy of the photovoltaic panel layout can be improved, the technical target of efficient construction of a photovoltaic power station is achieved, and the method is suitable for popularization and application. And stable and reliable power generation of the photovoltaic power station is ensured.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic power generation technology, and in particular to a method and device for planning and constructing photovoltaic panels in a photovoltaic power station. Background Art

[0002] A photovoltaic power station is a power generation facility that uses solar panels to directly convert sunlight into electrical energy. It is one of the important forms of renewable energy generation. Photovoltaic power stations convert photons in sunlight into electrical energy by installing photovoltaic panels on a large scale, and then convert direct current into alternating current through inverters and other equipment and integrate it into the power grid.

[0003] As an important component of clean energy, the scientific planning and design of photovoltaic power stations directly affects power generation efficiency and subsequent maintenance costs. However, traditional planning methods often rely on experience and single geographic information for layout, ignoring complex environmental factors in the region, such as meteorological conditions and vegetation growth. Due to the lack of comprehensive consideration of environmental factors, the existing photovoltaic panel planning and construction methods cannot achieve the optimal layout, power generation efficiency is difficult to improve, and subsequent maintenance costs remain high.

[0004] In summary, existing photovoltaic panel planning and construction methods often lack comprehensive consideration of environmental factors within the construction area, resulting in poor accuracy and rationality of photovoltaic panel layout, and technical problems that affect the power generation efficiency and stability of photovoltaic power stations. Summary of the Invention

[0005] The purpose of this application is to provide a planning and construction method and device for photovoltaic panels in a photovoltaic power station, so as to solve the technical problem that the existing photovoltaic panel planning and construction methods often lack comprehensive consideration of environmental factors in the construction area, resulting in poor accuracy and rationality of photovoltaic panel layout, affecting the power generation efficiency and stability of the photovoltaic power station.

[0006] In view of the above problems, the present application provides a method and device for planning and constructing photovoltaic panels in a photovoltaic power station.

[0007] In a first aspect, the present application provides a method for planning and constructing photovoltaic panels in a photovoltaic power station, which is implemented by a device for planning and constructing photovoltaic panels in a photovoltaic power station, including: obtaining a construction area planned for the photovoltaic power station, randomly selecting a construction area within the construction area and randomly planning the construction angle of the photovoltaic panels, and collecting regional coordinates and soil characteristic information within the construction area; collecting vegetation growth distribution within the construction area, and combining the soil characteristic information to perform vegetation growth occlusion rate analysis and maintainability analysis of the photovoltaic panels to obtain vegetation occlusion rate and vegetation maintainability information, and continuing to optimize the construction area to obtain an optimal construction area; within the optimal construction area, collecting dust migration distribution within the optimal construction area, and combining the construction angle to perform dust occlusion rate analysis of the photovoltaic panels to obtain dust occlusion rate; collecting meteorological data within the construction area, combining the construction angle, dust occlusion rate and vegetation occlusion rate to perform photovoltaic power generation prediction, obtain photovoltaic power generation information, and continue to optimize the construction angle to obtain the optimal construction angle; in the area of ​​the construction area other than the optimal construction area, continue to plan and optimize the construction areas and construction angles of other photovoltaic panels to obtain planning and construction results.

[0008] In the second aspect, the present application also provides a planning and construction device for photovoltaic panels in a photovoltaic power station, which is used to execute a planning and construction method for photovoltaic panels in a photovoltaic power station as described in the first aspect, including: a construction information selection module, which is used to obtain the construction area of ​​the photovoltaic power station construction plan, randomly select construction areas within the construction area and randomly plan the construction angles of photovoltaic panels, and collect regional coordinates and soil characteristic information within the construction area; a construction area optimization module, which is used to collect vegetation growth distribution within the construction area, and combine the soil characteristic information to perform vegetation growth occlusion rate analysis and maintainability analysis of photovoltaic panels, obtain vegetation occlusion rate and vegetation maintainability information, and continue to optimize the construction area to obtain The optimal construction area is obtained; the dust shielding rate analysis module is used to collect the dust migration distribution in the optimal construction area, and analyze the dust shielding rate of the photovoltaic panels in combination with the construction angle to obtain the dust shielding rate; the construction angle optimization module is used to collect the meteorological data in the construction area, and perform photovoltaic power generation prediction in combination with the construction angle, dust shielding rate and vegetation shielding rate to obtain photovoltaic power generation information, and continue to optimize the construction angle to obtain the optimal construction angle; the construction result acquisition module is used to continue to plan and optimize the construction areas and construction angles of other photovoltaic panels in the construction area except the optimal construction area to obtain the planned construction results.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages: By analyzing the vegetation growth shielding rate and maintainability of photovoltaic panels based on the vegetation growth distribution and soil characteristic information in the construction area, the vegetation shielding rate and vegetation maintainability information are obtained, and the construction area is optimized to obtain the optimal construction area; then, the dust shielding rate of photovoltaic panels is analyzed based on the dust migration distribution and construction angle in the optimal construction area to obtain the dust shielding rate; then, meteorological data in the construction area is collected, and photovoltaic power generation is predicted in combination with the construction angle, dust shielding rate and vegetation shielding rate to obtain photovoltaic power generation information, and the construction angle is optimized to obtain the optimal construction angle; finally, in the area of ​​the construction area other than the optimal construction area, the construction areas and construction angles of other photovoltaic panels are planned and optimized to obtain the optimal construction areas and optimal construction angles of multiple photovoltaic panels, and the planning and construction results are integrated; the above method can improve the scientificity, rationality and accuracy of the layout of photovoltaic panels in the photovoltaic power station, achieve the technical goal of efficient construction of the photovoltaic power station, thereby achieving the technical effect of improving the planning and construction quality of photovoltaic panels and ensuring stable, efficient and reliable power generation of the photovoltaic power station.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, which can be implemented in accordance with the contents of the description, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0012] Figure 1 A schematic diagram of a process for planning and constructing photovoltaic panels in a photovoltaic power station is provided for this application; Figure 2 A schematic diagram of a process for obtaining dust obstruction rate in a method for planning and constructing photovoltaic panels in a photovoltaic power station according to the present application; Figure 3 This is a structural schematic diagram of a planning and construction device for photovoltaic panels in a photovoltaic power station in the present application.

[0013] Description of reference numerals: Construction information selection module 11, construction area optimization module 12, dust occlusion rate analysis module 13, construction angle optimization module 14, construction result acquisition module 15. DETAILED DESCRIPTION

[0014] This application provides a method and device for planning and constructing photovoltaic panels within a photovoltaic power station, addressing the technical problem that existing photovoltaic panel planning and construction methods often lack comprehensive consideration of environmental factors within the construction area, resulting in poor accuracy and rationality in photovoltaic panel layout, which in turn affects the power generation efficiency and stability of the photovoltaic power station. This method can improve the scientificity, rationality, and accuracy of photovoltaic panel layout within a photovoltaic power station, achieving the technical goal of efficient photovoltaic power station construction, thereby achieving the technical effect of improving the planning and construction quality of photovoltaic panels and ensuring stable, efficient, and reliable power generation from the photovoltaic power station.

[0015] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0016] For example, see the attached Figure 1 The present application provides a method for planning and constructing photovoltaic panels in a photovoltaic power station, which is applied to a device for planning and constructing photovoltaic panels in a photovoltaic power station, and specifically includes the following steps: Step 1: Obtain a planned construction area for a photovoltaic power station, randomly select a construction area within the construction area, randomly plan the construction angles of photovoltaic panels, and collect regional coordinates and soil characteristic information within the construction area.

[0017] Specifically, the construction area of ​​the photovoltaic power station construction plan is first obtained, that is, the specific area where the photovoltaic power station is to be built. This can be set according to the actual scenario. Next, the regional size of the photovoltaic panel assembly construction is obtained, that is, the construction size of the photovoltaic panel assembly. This can be set according to the equipment type and specifications. Furthermore, using the regional size of the photovoltaic panel assembly as a constraint, any area within the construction area that meets the regional size is randomly selected as the construction area, and the construction angle of the photovoltaic panel is randomly planned. The construction angle of the photovoltaic panel is a key factor affecting its power generation efficiency. The photovoltaic panel angle needs to match the local solar altitude angle and solar trajectory to maximize the reception of sunlight, thus obtaining the construction area and construction angle.

[0018] On the other hand, the regional coordinates and soil characteristic information of the construction area are collected, that is, the specific location coordinates of the construction area in the construction area are obtained, and the soil characteristic information in the construction area is obtained through soil characteristic survey, wherein the soil characteristic information is used to predict vegetation growth in the subsequent area, including soil density, particle size, water content and other parameters.

[0019] Step 2: Collect the vegetation growth distribution in the construction area, combine it with the soil characteristic information, conduct vegetation growth shading rate analysis and maintainability analysis of photovoltaic panels, obtain vegetation shading rate and vegetation maintainability information, and continue to optimize the construction area to obtain the optimal construction area.

[0020] Specifically, first, information on various vegetation in the construction area is collected, including the types, coverage, distribution density, etc. of different vegetation. For example, vegetation categories such as low shrubs, herbaceous plants, and tall trees have different growth heights and morphological characteristics. This information can be obtained through remote sensing technology, drone photography, ground surveys, etc. The information on growth characteristics can help predict the future growth trend of vegetation and its impact on photovoltaic panels. The information on distribution patterns can help identify which areas are more affected by vegetation shading. Then, the information on various vegetation types is integrated to construct the vegetation growth distribution.

[0021] Next, based on the vegetation growth distribution and soil characteristic information, the vegetation growth shading rate and maintainability analysis of the photovoltaic panels are performed. First, the vegetation growth probability is predicted based on the vegetation growth distribution and soil characteristic information. For example, in soil types suitable for growth, the growth probability of a certain type of vegetation is higher; while in unfavorable soil conditions, its growth probability is lower. By analyzing this data, the future growth of different vegetation types can be predicted, and multiple vegetation growth probability prediction information can be obtained. On the other hand, based on the maintenance cycle of the photovoltaic power station, the growth status of each type of vegetation during the maintenance cycle, that is, the maximum shading area, is analyzed. For example, fast-growing vegetation may significantly block the photovoltaic panels for a period of time, while slower-growing vegetation has less impact, resulting in multiple maximum shading areas of vegetation. Finally, the vegetation growth shading rate is calculated based on multiple vegetation growth probability prediction information and multiple vegetation maximum shading areas. That is, based on the vegetation growth probability prediction information, the ratio of the maximum shading area of ​​different vegetation categories to the maintenance cycle is weightedly calculated to obtain the shading rate of each type of vegetation and the vegetation shading rate. The vegetation shading rate is a key indicator for evaluating the impact of vegetation on the layout of photovoltaic panels. The higher the shading rate, the lower the power generation efficiency of the photovoltaic panels. Therefore, it is necessary to avoid installing photovoltaic panels in areas with high shading rates.

[0022] On the other hand, multiple maintenance times for various vegetation types are obtained. A weighted calculation is performed based on multiple vegetation growth probability prediction information, the ratio of actual maintenance time to preset maintenance time, and the vegetation maintainability information. This maintainability information evaluates the increased maintenance workload due to different vegetation growth states within a preset maintenance cycle, reflecting the maintenance difficulty of a photovoltaic power station in a particular area. Regional fitness is then calculated based on the vegetation shading rate and vegetation maintainability information. For example, the regional fitness is obtained by weightedly calculating the inverse of the vegetation shading rate and vegetation maintainability information. The vegetation shading rate and maintainability information are negatively correlated with the regional fitness, meaning that higher the shading rate and maintainability, the lower the regional fitness. A higher regional fitness indicates that the vegetation in the area has less impact on photovoltaic panel construction and lowers the maintenance difficulty.

[0023] Finally, using the same method, the fitness of other construction areas within the construction region is calculated. The fitness of different areas is compared, and the area with the highest fitness is selected as the optimal construction area. The optimal construction area has a low vegetation shading rate and high maintainability, making it suitable for installing photovoltaic panels. By optimizing the construction area based on vegetation shading rate and vegetation maintainability information and determining the optimal construction area, the impact of vegetation shading on photovoltaic panels and the subsequent maintenance workload can be reduced, thereby ensuring the long-term stable operation and efficient power generation of the photovoltaic power station.

[0024] Step 3: Within the optimal construction area, collect the dust migration distribution within the optimal construction area, analyze the dust shielding rate of the photovoltaic panels in combination with the construction angle, and obtain the dust shielding rate.

[0025] Specifically, first, the dust migration direction and dust migration concentration in the optimal construction area are collected. The dust migration direction can be obtained through analysis of meteorological data, wind direction and geographical environment. Dust will move with the air flow. At the same time, the wind direction and terrain in a specific area will accelerate or slow down the accumulation of dust. The dust migration concentration can be collected through air quality monitoring equipment, dust sensors and other means. In areas with higher dust concentration, dust is more likely to accumulate on the surface of photovoltaic panels, resulting in blocking of light and reduced power generation efficiency. Then, based on the dust migration direction and dust migration concentration, the dust migration distribution in the optimal construction area is constructed.

[0026] The dust shielding rate of the photovoltaic panels is then analyzed based on the dust migration distribution and construction angle. The construction angle of the photovoltaic panels affects dust accumulation: steeper angles help some dust slide off automatically, while flatter angles cause more dust to accumulate on the surface of the photovoltaic panels. First, the shielding area of ​​the photovoltaic panel surface caused by dust accumulation during a preset maintenance cycle is calculated based on the dust migration distribution and construction angle. The dust shielding rate is then calculated based on the ratio of the dust shielding area to the maintenance time period. The dust shielding rate is a key indicator for evaluating the power generation efficiency of photovoltaic panels. A higher dust shielding rate means that dust is more likely to accumulate on the surface of the photovoltaic panel, thereby reducing the amount of light received and lowering power generation efficiency. By analyzing the dust shielding rate of the photovoltaic panels based on the dust migration distribution and the construction angle of the photovoltaic panels, the dust shielding rate can be obtained. This can quantify the impact of dust on the power generation efficiency of the photovoltaic panels under different construction angles and provide a basis for subsequent photovoltaic power generation predictions.

[0027] Step 4: Collect meteorological data in the construction area, combine the construction angle, dust occlusion rate and vegetation occlusion rate to predict photovoltaic power generation, obtain photovoltaic power generation information, and continue to optimize the construction angle to obtain the optimal construction angle.

[0028] Specifically, first, meteorological data is collected within the construction area, where the meteorological data includes lighting parameters (sunshine duration, solar radiation intensity, ratio of direct light to scattered light, etc.). Then, photovoltaic power generation is predicted based on the meteorological data, construction angle, dust obstruction rate, and vegetation obstruction rate. For example, a power generation prediction model can be constructed using a BP neural network. The power generation prediction model is a neural network model that can be iteratively optimized in machine learning and is obtained through supervised training with collected sample data. The input data of the power generation prediction model is the meteorological data, construction angle, dust obstruction rate, and vegetation obstruction rate, and the output data is photovoltaic power generation information, i.e., photovoltaic power generation amount. The trained power generation prediction model is then used to predict the meteorological data, construction angle, dust obstruction rate, and vegetation obstruction rate within the construction area, and output photovoltaic power generation information, i.e., the predicted photovoltaic power generation amount.

[0029] The construction angle is then randomly adjusted, i.e., another construction angle is randomly selected as the second construction angle. The dust obstruction rate is analyzed based on the second construction angle, and photovoltaic power generation information is predicted based on the analysis results to obtain second photovoltaic power generation information. The construction angle is then further adjusted, and multiple photovoltaic power generation information for multiple construction angles is predicted, i.e., multiple photovoltaic power generation amounts. Finally, the construction angle corresponding to the maximum photovoltaic power generation amount is selected as the optimal construction angle to obtain the optimal construction angle. By randomly adjusting the construction angle and combining the dust obstruction rate and photovoltaic power generation information predictions, the installation angle of the photovoltaic panels is gradually optimized, ultimately obtaining the optimal angle for maximum power generation. This ensures that the photovoltaic panels operate under optimal conditions, maximizes power generation efficiency, reduces the impact of dust and vegetation on power generation performance, and improves the accuracy of the optimal construction angle setting.

[0030] Step 5: In the construction area except the optimal construction area, continue to optimize the planning of construction areas and construction angles of other photovoltaic panels to obtain planning and construction results.

[0031] Specifically, using the same method as described above for obtaining the optimal construction area and optimal construction angle, the planning and optimization of the construction areas and construction angles of other photovoltaic panels in the construction area other than the optimal construction area is continued, thereby obtaining multiple optimal construction areas and multiple optimal construction angles for multiple photovoltaic panels; finally, the optimal construction areas and angles of each photovoltaic panel are combined to form an overall photovoltaic power station planning scheme, namely the planning and construction results, wherein the planning and construction results cover the optimal construction areas and optimal angles of all photovoltaic panels within the entire photovoltaic power station construction area. By obtaining the planning and construction results, it is possible to ensure that the photovoltaic panels in different areas of the entire power station can maximize the use of light resources while reducing dust, vegetation obstruction, and maintenance difficulty.

[0032] The method for planning and constructing photovoltaic panels in a photovoltaic power station is applied to a device for planning and constructing photovoltaic panels in a photovoltaic power station, which can solve the technical problem that existing photovoltaic panel planning and construction methods often lack comprehensive consideration of environmental factors in the construction area, resulting in poor accuracy and rationality of photovoltaic panel layout, affecting the power generation efficiency and stability of the photovoltaic power station. By analyzing the vegetation growth shielding rate and maintainability of photovoltaic panels based on the vegetation growth distribution and soil characteristic information in the construction area, the vegetation shielding rate and vegetation maintainability information are obtained, and the construction area is optimized to obtain the optimal construction area; then, the dust shielding rate of photovoltaic panels is analyzed based on the dust migration distribution and construction angle in the optimal construction area to obtain the dust shielding rate; then, meteorological data in the construction area is collected, and photovoltaic power generation is predicted in combination with the construction angle, dust shielding rate and vegetation shielding rate to obtain photovoltaic power generation information, and the construction angle is optimized to obtain the optimal construction angle; finally, in the area of ​​the construction area other than the optimal construction area, the construction areas and construction angles of other photovoltaic panels are planned and optimized to obtain the optimal construction areas and optimal construction angles of multiple photovoltaic panels, and the planning and construction results are integrated; the above method can improve the scientificity, rationality and accuracy of the layout of photovoltaic panels in the photovoltaic power station, achieve the technical goal of efficient construction of the photovoltaic power station, thereby achieving the technical effect of improving the planning and construction quality of photovoltaic panels and ensuring stable, efficient and reliable power generation of the photovoltaic power station.

[0033] Furthermore, the construction area of ​​the photovoltaic power station construction plan is obtained, a construction area is randomly selected within the construction area and the construction angle of the photovoltaic panels is randomly planned, and the regional coordinates and soil characteristic information within the construction area are collected. This application includes: Obtain a construction area of ​​a photovoltaic power station construction plan; randomly select a construction area within the construction area according to the size of the area where the photovoltaic panel components are to be constructed, and randomly set a construction angle; collect regional coordinates within the construction area, and extract soil characteristic information within the construction area based on soil characteristic survey data of the construction area.

[0034] Specifically, the planned construction area for the photovoltaic power station is first determined. This involves comprehensively considering factors such as sunlight resources, geographic location, and land availability to identify suitable areas for photovoltaic power station construction. This area can be set based on the actual scenario. The size of the photovoltaic panel assembly construction area is then determined, representing the coverage area of ​​a single photovoltaic panel assembly. This area can be set based on the actual type and specifications of the panel assembly. Furthermore, based on the size of the photovoltaic panel assembly construction area, any area within the construction area that meets the size is randomly selected as the construction area. The photovoltaic panel construction angle is then randomly planned. The photovoltaic panel construction angle includes the tilt angle (the angle relative to the ground level) and the azimuth angle (the angle relative to due south).

[0035] After determining the photovoltaic panel construction area, the regional coordinates within the construction area are collected. Based on these regional coordinates, soil characteristic information within the construction area is extracted based on soil characteristic survey data of the construction area. The soil characteristic survey data can be obtained through on-site surveys or existing geological data. Soil characteristic information includes parameters such as soil density, particle size, and moisture content. This soil characteristic information provides support for subsequent vegetation growth analysis.

[0036] Furthermore, the vegetation growth distribution in the construction area is collected and combined with the soil characteristic information to perform vegetation growth shading rate analysis and maintainability analysis of photovoltaic panels. This application includes: Collect multiple vegetation categories within the construction area and construct a vegetation growth distribution; analyze the growth probabilities of the multiple vegetation categories based on the soil characteristic information and the vegetation growth distribution to obtain multiple growth probability information; obtain multiple maximum shading areas of the multiple vegetation categories that grow and block the photovoltaic panels within the preset maintenance time period of the photovoltaic power station; based on the multiple growth probability information, perform a weighted calculation on the ratio of the multiple maximum shading areas to the maintenance time period to obtain a vegetation shading rate; obtain multiple maintenance times of the multiple vegetation categories, and use the multiple growth probability information to perform a weighted calculation on the ratio of the multiple maintenance times to the preset maintenance time to obtain vegetation maintainability information; calculate and obtain regional fitness based on the vegetation shading rate and the vegetation maintainability information, wherein the size of the vegetation shading rate and the vegetation maintainability information is negatively correlated with the size of the regional fitness; continue to optimize the construction area within the construction area, output the construction area with the largest regional fitness, and obtain the optimal construction area.

[0037] Specifically, first, multiple vegetation categories in the construction area are collected, where different vegetation categories have different growth characteristic information. For example, vegetation categories such as low shrubs, herbaceous plants, and tall trees have different growth heights and morphological characteristics. This information can be obtained through remote sensing technology, drone photography, ground surveys, etc. The information on growth characteristics helps to predict the future growth trend of vegetation and its impact on photovoltaic panels. The information on distribution patterns can help identify which areas are more affected by vegetation shading. Then, multiple vegetation categories and multiple vegetation information are integrated to construct a vegetation growth distribution.

[0038] Next, the growth probabilities of the multiple vegetation types are analyzed based on the soil characteristic information and the vegetation growth distribution. For example, a vegetation growth prediction model can be constructed based on machine learning, and growth probability analysis can be performed using the vegetation growth prediction model to obtain multiple pieces of growth probability information. A preset maintenance time period for the photovoltaic power station is then obtained. This maintenance time period can be set based on actual needs, such as two weeks or one month. Furthermore, multiple maximum obstruction areas of the photovoltaic panels caused by the growth of the multiple vegetation types within the preset maintenance time period of the photovoltaic power station are obtained. The maximum obstruction areas can be calculated by averaging the historical growth data of different vegetation types.

[0039] Then, the growth probability information is used as a weight, for example, the ratio of each growth probability information to the sum of multiple growth probability information is used as a weight, and a weighted calculation is performed on the ratio of the multiple maximum shading areas to the maintenance time period based on the multiple growth probability information. The weighted calculation result is used as the vegetation shading rate to obtain the vegetation shading rate, wherein the vegetation shading rate is a key indicator for evaluating the impact of vegetation on the layout of photovoltaic panels. The higher the shading rate, the lower the power generation efficiency of the photovoltaic panel. Further, multiple maintenance times for the multiple vegetation categories are obtained, wherein the maintenance time for each vegetation is different and can be set according to the actual vegetation type; and the growth probability information is used as the weight, and the ratio of the multiple maintenance times to the preset maintenance time is weightedly calculated using the multiple growth probability information, and the weighted calculation result is used as the vegetation maintainability information to obtain the vegetation maintainability information, wherein the vegetation maintainability information is an assessment of the increased maintenance workload caused by the growth status of different vegetation within a preset maintenance cycle, and is used to reflect the difficulty of maintaining a photovoltaic power station in a certain area. The higher the maintainability information, the more maintenance work is required for the vegetation in the area, which increases the maintenance cost and difficulty of the power station.

[0040] For example, if the ratio of growth probability information to the sum of multiple growth probability information is 0.1, the maximum obstruction area of ​​a vegetation category is 2 square meters, and the maintenance period is 2 weeks, then the vegetation obstruction rate of this vegetation category is 0.1 × (2 / 2) = 0.1. In this way, the vegetation obstruction rate of multiple vegetation categories can be obtained by weighted summation, for example, 0.9.

[0041] For another example, the ratio of each growth probability information item to the sum of multiple growth probability information items is used as a weight. The ratios of the multiple maintenance times to the preset maintenance time are weighted to obtain the vegetation maintainability information. For example, if the maintenance time for a certain vegetation type is 1 hour, and the preset maintenance time is the average maintenance time for multiple groups of plants, which is 2 hours, then the maintainability information corresponding to this vegetation type can be 0.1 × (1 / 2) = 0.05. The weighted sum of all vegetation maintainability information is then calculated to obtain the final vegetation maintainability information for the construction area, for example, 0.85.

[0042] According to the degree of influence of the vegetation shading rate and vegetation maintenance information on photovoltaic power generation, the vegetation shading rate and vegetation maintenance information are weighted, wherein the greater the degree of influence, the greater the corresponding weight, for example, the weights of the vegetation shading rate and vegetation maintenance information are 0.7 and 0.3 respectively; further, the vegetation shading rate and vegetation maintenance information are weightedly calculated according to the weight configuration result, for example, the inverse of the vegetation shading rate and vegetation maintenance information is weightedly calculated to obtain the regional fitness, wherein the size of the vegetation shading rate and vegetation maintenance information is negatively correlated with the size of the regional fitness, that is, the higher the vegetation shading rate and vegetation maintenance information, the lower the regional fitness, and the regional fitness is obtained, wherein the higher the regional fitness is, the smaller the impact of the vegetation in the region on the construction of photovoltaic panels and the lower the maintenance difficulty.

[0043] Exemplarily, the weights of vegetation occlusion rate and vegetation maintenance information are used to calculate the difference between 1 and vegetation occlusion rate and 1 and vegetation maintenance as regional fitness, for example, 0.7×(1-0.9)+0.3×(1-0.85)=0.115, which is the regional fitness.

[0044] Finally, using the same method for calculating regional fitness, the fitness of other construction areas within the construction area is calculated. The fitness of different areas is compared, and the area with the highest fitness is selected as the optimal construction area. The optimal construction area has low vegetation shading and high maintainability, making it suitable for installing photovoltaic panels. By determining the optimal construction area, the impact of vegetation shading on photovoltaic panels and the subsequent maintenance workload can be reduced, thereby ensuring the long-term stable operation and efficient power generation of the photovoltaic power station.

[0045] Furthermore, based on the soil characteristic information and the vegetation growth distribution, the growth probabilities of the multiple vegetation categories are analyzed to obtain multiple growth probability information. The present application further includes the following steps: Based on the historical growth monitoring data of the multiple vegetation categories within the vegetation growth distribution, multiple sample soil characteristic information sets and multiple sample growth probability information sets are obtained; using the multiple sample soil characteristic information sets and the multiple sample growth probability information sets, multiple vegetation growth analysis branches are trained respectively to obtain a vegetation growth analyzer; using the vegetation growth analyzer, the soil characteristic information is analyzed to obtain multiple growth probability information.

[0046] Specifically, first, feature extraction is performed based on the historical growth monitoring data of the multiple vegetation categories within the vegetation growth distribution to obtain multiple sample soil feature information sets and multiple sample growth probability information sets, wherein the sample soil feature information sets and the sample growth probability information sets correspond one to one. Then, multiple vegetation growth analysis branches are constructed based on machine learning, wherein each vegetation category corresponds to a vegetation growth analysis branch. For example, a vegetation growth analysis branch can be constructed based on a BP neural network, wherein the vegetation growth analysis branch includes an input layer, multiple hidden layers and an output layer, wherein the input data of the input layer is soil feature information, and the output data of the output layer is growth probability. Then, the multiple sample soil feature information sets and the multiple sample growth probability information sets are used to perform supervised training on the multiple vegetation growth analysis branches respectively. The supervised training can be performed using a loss function and a back-propagation algorithm to obtain multiple trained vegetation growth analysis branches, and a vegetation growth analyzer is constructed based on the fusion of the multiple vegetation growth analysis branches.

[0047] Finally, the soil characteristic information is input into the vegetation growth analyzer for analysis, and multiple growth probability information is output. By constructing a vegetation growth analyzer based on machine learning to perform vegetation growth probability analysis, the accuracy and efficiency of vegetation growth probability prediction can be improved.

[0048] Further, if Figure 2 As shown, within the optimal construction area, the dust migration distribution within the optimal construction area is collected, and the dust obstruction rate of the photovoltaic panel is analyzed in combination with the construction angle to obtain the dust obstruction rate. This application includes: The dust migration direction and dust migration concentration in the optimal construction area are collected to obtain the dust migration distribution; based on the dust migration distribution and combined with the construction angle, the dust blocking area within the preset maintenance time period of the photovoltaic power station is predicted; based on the ratio of the dust blocking area to the maintenance time period, the dust blocking rate is calculated.

[0049] Specifically, first, the dust migration direction and dust migration concentration in the optimal construction area are collected, where the dust migration direction can be obtained through analysis of meteorological data, wind direction and geographical environment. Dust will move with the air flow. At the same time, the wind direction and terrain in a specific area will accelerate or slow down the accumulation of dust. For example, the wind direction that appears most frequently in the optimal construction area can be obtained as the dust migration direction; the dust migration concentration can be collected through air quality monitoring equipment, dust sensors and other means. In areas with higher dust concentration, dust is more likely to accumulate on the surface of photovoltaic panels, resulting in blocking of light and reduced power generation efficiency. For example, the average dust concentration in the optimal construction area in the past month is obtained as the dust migration concentration; then, based on the dust migration direction and dust migration concentration, the dust migration distribution in the optimal construction area is constructed.

[0050] The dust obstruction area within a preset maintenance period of the photovoltaic power station is then predicted based on the dust migration distribution and the construction angle to obtain the dust obstruction area. The construction angle of the photovoltaic panel affects dust accumulation: a steeper angle helps some dust slide off automatically, while a flatter angle causes more dust to accumulate on the photovoltaic panel surface. For example, predictions can be made by constructing a simulation model. By analyzing the dust migration distribution and the construction angle of the photovoltaic panel, dust accumulation on the photovoltaic panel surface during the maintenance period can be predicted. Based on information such as the dust migration path and wind speed, the obstruction area formed by dust on the photovoltaic panel surface at a specific construction angle can be estimated. Optionally, machine learning methods can be used to collect a set of sample dust migration distributions and a set of sample construction angles as input data, and to collect the dust obstruction area after the maintenance period under different sample dust migration distributions and sample construction angles as a set of sample dust obstruction areas. For supervised training, a dust obstruction analyzer is trained using algorithms such as gradient descent in the prior art. The dust obstruction area is predicted based on the current dust migration distribution and construction angle inputs to obtain the dust obstruction area, for example, 1 square meter.

[0051] Finally, the dust obstruction rate is calculated based on the ratio of the dust-blocked area to the maintenance period. The dust obstruction rate is a key indicator for evaluating the power generation efficiency of photovoltaic panels. A higher dust obstruction rate indicates that dust is more likely to accumulate on the panel surface, reducing the amount of sunlight received and lowering power generation efficiency. By analyzing the dust obstruction rate of photovoltaic panels based on the dust migration distribution and the panel construction angle, the dust obstruction rate can be quantified to quantify the impact of dust on the panel's power generation efficiency at different construction angles, providing a basis for subsequent photovoltaic power generation predictions.

[0052] Furthermore, meteorological data within the construction area is collected, and photovoltaic power generation prediction is performed in combination with the construction angle, dust occlusion rate, and vegetation occlusion rate to obtain photovoltaic power generation information. This application includes: Collect lighting parameters in the construction area as meteorological data; collect a sample meteorological data set, a sample construction angle set, a sample dust occlusion rate set, and a sample vegetation occlusion rate set, and collect and annotate them to obtain a sample photovoltaic power generation information set; use the sample meteorological data set, the sample construction angle set, the sample dust occlusion rate set, the sample vegetation occlusion rate set, and the sample photovoltaic power generation information set to train a photovoltaic power generation predictor; use the trained photovoltaic power generation predictor to input the meteorological data, construction angle, dust occlusion rate, and vegetation occlusion rate into photovoltaic power generation prediction, and output photovoltaic power generation information.

[0053] Specifically, first, the lighting parameters within the construction area are collected as meteorological data. These include sunshine duration, solar radiation intensity, and the ratio of direct light to scattered light. Then, based on big data and guided by photovoltaic power generation, information retrieval is performed to obtain a set of sample meteorological data, a set of sample construction angles, a set of sample dust occlusion rates, and a set of sample vegetation occlusion rates. The collected and annotated sets are then used to obtain a set of sample photovoltaic power generation information. The sample photovoltaic power generation information is the sample photovoltaic power generation, and there is a corresponding relationship between the sample photovoltaic power generation information and the sample meteorological data, sample construction angles, sample dust occlusion rates, and sample vegetation occlusion rates.

[0054] Then, a photovoltaic power generation predictor is constructed based on a BP neural network. The photovoltaic power generation predictor is a neural network model that can be iteratively optimized in machine learning, including an input layer, a hidden layer, and an output layer, and is used to predict photovoltaic power generation. Then, sample meteorological data, sample construction angle, sample dust obstruction rate, and sample vegetation obstruction rate are used as input, and sample photovoltaic power generation information is used as supervision. The sample meteorological data set, sample construction angle set, sample dust obstruction rate set, sample vegetation obstruction rate set, and sample photovoltaic power generation information set are used as training data to supervise the photovoltaic power generation predictor. That is, the network weights are continuously adjusted through the two processes of forward propagation and backpropagation, thereby minimizing the error between the output and the target value for training, and a photovoltaic power generation predictor that meets the convergence conditions is obtained. Finally, the meteorological data, construction angle, dust obstruction rate, and vegetation obstruction rate are input into the trained photovoltaic power generation predictor, and photovoltaic power generation information is output, for example, 1000W.

[0055] By constructing a photovoltaic power generation predictor based on BP neural network to predict photovoltaic power generation, the photovoltaic power generation prediction time can be reduced, the prediction accuracy and efficiency can be improved, and thus the accuracy and reliability of the evaluation from the perspective of photovoltaic panel construction can be improved.

[0056] Furthermore, the construction angle is optimized to obtain the optimal construction angle. This application includes: The construction angle is randomly adjusted, and the dust shielding rate and photovoltaic power generation information are analyzed and predicted; the construction angle is continuously adjusted and optimized, and the construction angle with the maximum photovoltaic power generation information is output to obtain the optimal construction angle.

[0057] Specifically, the construction angle is randomly adjusted, i.e., another construction angle is randomly selected as a second construction angle, where the second construction angle is different from the construction angle. A dust obstruction rate analysis is then performed based on the second construction angle, and photovoltaic power generation information is predicted in combination with the second dust obstruction rate to obtain second photovoltaic power generation information, for example, 1200W. The construction angle is then randomly adjusted again, and multiple photovoltaic power generation information, i.e., multiple photovoltaic power generation amounts, are predicted for multiple construction angles. Finally, the multiple photovoltaic power generation amounts are compared, and the construction angle corresponding to the maximum photovoltaic power generation amount is selected as the optimal construction angle, thereby obtaining the optimal construction angle.

[0058] By randomly adjusting the construction angle and combining the prediction of dust obstruction rate and photovoltaic power generation information, the installation angle of photovoltaic panels is gradually optimized, and finally the optimal angle with maximum power generation is obtained. This can ensure that the photovoltaic panels operate under optimal conditions and maximize power generation efficiency. At the same time, it can reduce the impact of dust and vegetation on power generation performance and improve the accuracy of the optimal construction angle setting.

[0059] In summary, the method for planning and constructing photovoltaic panels in a photovoltaic power station provided by this application has the following technical effects: By analyzing the vegetation growth shielding rate and maintainability of photovoltaic panels based on the vegetation growth distribution and soil characteristic information in the construction area, the vegetation shielding rate and vegetation maintainability information are obtained, and the construction area is optimized to obtain the optimal construction area; then, the dust shielding rate of photovoltaic panels is analyzed based on the dust migration distribution and construction angle in the optimal construction area to obtain the dust shielding rate; then, meteorological data in the construction area is collected, and photovoltaic power generation is predicted in combination with the construction angle, dust shielding rate and vegetation shielding rate to obtain photovoltaic power generation information, and the construction angle is optimized to obtain the optimal construction angle; finally, in the area of ​​the construction area other than the optimal construction area, the construction areas and construction angles of other photovoltaic panels are planned and optimized to obtain the optimal construction areas and optimal construction angles of multiple photovoltaic panels, and the planning and construction results are integrated; the above method can improve the scientificity, rationality and accuracy of the layout of photovoltaic panels in the photovoltaic power station, achieve the technical goal of efficient construction of the photovoltaic power station, thereby achieving the technical effect of improving the planning and construction quality of photovoltaic panels and ensuring stable, efficient and reliable power generation of the photovoltaic power station.

[0060] In the second embodiment, based on the same invention concept as the method for planning and constructing photovoltaic panels in a photovoltaic power station in the above embodiment, this application also provides a device for planning and constructing photovoltaic panels in a photovoltaic power station. Figure 3 ,include: The construction information selection module 11 is used to obtain the construction area of ​​the photovoltaic power station construction plan, randomly select the construction area in the construction area and randomly plan the construction angle of the photovoltaic panel, and collect the regional coordinates and soil characteristic information in the construction area; the construction area optimization module 12 is used to collect the vegetation growth distribution in the construction area, combine the soil characteristic information, perform vegetation growth occlusion rate analysis and maintainability analysis of the photovoltaic panel, obtain vegetation occlusion rate and vegetation maintainability information, and continue to optimize the construction area to obtain the optimal construction area; the dust occlusion rate analysis module 13 is used to collect the vegetation growth distribution in the construction area, combine the soil characteristic information, perform vegetation growth occlusion rate analysis and maintainability analysis of the photovoltaic panel, obtain vegetation occlusion rate and vegetation maintainability information, and continue to optimize the construction area to obtain the optimal construction area. , collect the dust migration distribution in the optimal construction area, combine the construction angle, analyze the dust shielding rate of the photovoltaic panels, and obtain the dust shielding rate; the construction angle optimization module 14 is used to collect the meteorological data in the construction area, combine the construction angle, dust shielding rate and vegetation shielding rate, perform photovoltaic power generation prediction, obtain photovoltaic power generation information, and continue to optimize the construction angle to obtain the optimal construction angle; the construction result acquisition module 15 is used to continue to plan and optimize the construction areas and construction angles of other photovoltaic panels in the construction area except the optimal construction area to obtain the planning and construction results.

[0061] Furthermore, the device for planning and constructing photovoltaic panels in a photovoltaic power station is also used for: Obtain a construction area of ​​a photovoltaic power station construction plan; randomly select a construction area within the construction area according to the size of the area where the photovoltaic panel components are to be constructed, and randomly set a construction angle; collect regional coordinates within the construction area, and extract soil characteristic information within the construction area based on soil characteristic survey data of the construction area.

[0062] Furthermore, the device for planning and constructing photovoltaic panels in a photovoltaic power station is also used for: Collect multiple vegetation categories within the construction area and construct a vegetation growth distribution; analyze the growth probabilities of the multiple vegetation categories based on the soil characteristic information and the vegetation growth distribution to obtain multiple growth probability information; obtain multiple maximum shading areas of the multiple vegetation categories that grow and block the photovoltaic panels within the preset maintenance time period of the photovoltaic power station; based on the multiple growth probability information, perform a weighted calculation on the ratio of the multiple maximum shading areas to the maintenance time period to obtain a vegetation shading rate; obtain multiple maintenance times of the multiple vegetation categories, and use the multiple growth probability information to perform a weighted calculation on the ratio of the multiple maintenance times to the preset maintenance time to obtain vegetation maintainability information; calculate and obtain regional fitness based on the vegetation shading rate and the vegetation maintainability information, wherein the size of the vegetation shading rate and the vegetation maintainability information is negatively correlated with the size of the regional fitness; continue to optimize the construction area within the construction area, output the construction area with the largest regional fitness, and obtain the optimal construction area.

[0063] Furthermore, the device for planning and constructing photovoltaic panels in a photovoltaic power station is also used for: Based on the historical growth monitoring data of the multiple vegetation categories within the vegetation growth distribution, multiple sample soil characteristic information sets and multiple sample growth probability information sets are obtained; using the multiple sample soil characteristic information sets and the multiple sample growth probability information sets, multiple vegetation growth analysis branches are trained respectively to obtain a vegetation growth analyzer; using the vegetation growth analyzer, the soil characteristic information is analyzed to obtain multiple growth probability information.

[0064] Furthermore, the device for planning and constructing photovoltaic panels in a photovoltaic power station is also used for: The dust migration direction and dust migration concentration in the optimal construction area are collected to obtain the dust migration distribution; based on the dust migration distribution and combined with the construction angle, the dust blocking area within the preset maintenance time period of the photovoltaic power station is predicted; based on the ratio of the dust blocking area to the maintenance time period, the dust blocking rate is calculated.

[0065] Furthermore, the device for planning and constructing photovoltaic panels in a photovoltaic power station is also used for: Collect lighting parameters in the construction area as meteorological data; collect a sample meteorological data set, a sample construction angle set, a sample dust occlusion rate set, and a sample vegetation occlusion rate set, and collect and annotate them to obtain a sample photovoltaic power generation information set; use the sample meteorological data set, the sample construction angle set, the sample dust occlusion rate set, the sample vegetation occlusion rate set, and the sample photovoltaic power generation information set to train a photovoltaic power generation predictor; use the trained photovoltaic power generation predictor to input the meteorological data, construction angle, dust occlusion rate, and vegetation occlusion rate into photovoltaic power generation prediction, and output photovoltaic power generation information.

[0066] Furthermore, the device for planning and constructing photovoltaic panels in a photovoltaic power station is also used for: The construction angle is randomly adjusted, and the dust shielding rate and photovoltaic power generation information are analyzed and predicted; the construction angle is continuously adjusted and optimized, and the construction angle with the maximum photovoltaic power generation information is output to obtain the optimal construction angle.

[0067] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The planning and construction method of a photovoltaic panel in a photovoltaic power station and the specific examples in the aforementioned embodiment one are also applicable to the planning and construction device of a photovoltaic panel in a photovoltaic power station in this embodiment. Through the aforementioned detailed description of the planning and construction method of a photovoltaic panel in a photovoltaic power station, those skilled in the art can clearly understand the planning and construction device of a photovoltaic panel in a photovoltaic power station in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0068] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0069] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A method for planning and constructing photovoltaic panels in a photovoltaic power station, characterized in that: Methods include: Obtaining a planned construction area for a photovoltaic power station, randomly selecting a construction area within the construction area and randomly planning the construction angles of photovoltaic panels, and collecting regional coordinates and soil characteristic information within the construction area; Collecting the distribution of vegetation growth in the construction area, combining it with the soil characteristic information, conducting vegetation growth shading rate analysis and maintainability analysis of photovoltaic panels, obtaining vegetation shading rate and vegetation maintainability information, and continuing to optimize the construction area to obtain the optimal construction area; In the optimal construction area, collecting dust migration distribution in the optimal construction area, and analyzing the dust obstruction rate of the photovoltaic panels in combination with the construction angle to obtain the dust obstruction rate; Collect meteorological data within the construction area, combine the construction angle, dust obstruction rate, and vegetation obstruction rate to predict photovoltaic power generation, obtain photovoltaic power generation information, and continue to optimize the construction angle to obtain the optimal construction angle; In the construction area except the optimal construction area, the planning and optimization of the construction areas and construction angles of other photovoltaic panels are continued to obtain a planning and construction result.

2. The method for planning and constructing photovoltaic panels in a photovoltaic power station according to claim 1, characterized in that: Obtaining a planned construction area for a photovoltaic power station, randomly selecting a construction area within the construction area and randomly planning the construction angles of photovoltaic panels, and collecting regional coordinates and soil characteristic information within the construction area, including: Obtain the construction area of ​​the photovoltaic power station construction plan; According to the size of the photovoltaic panel assembly construction area, randomly select the construction area within the construction area and randomly set the construction angle; The regional coordinates within the construction area are collected, and soil characteristic information within the construction area is extracted based on soil characteristic survey data of the construction area.

3. The method for planning and constructing photovoltaic panels in a photovoltaic power station according to claim 1, characterized in that: Collect the vegetation growth distribution in the construction area and, combined with the soil characteristic information, perform vegetation growth shading rate analysis and maintainability analysis of photovoltaic panels, including: Collecting various vegetation types within the construction area and constructing vegetation growth distribution; Analyzing the growth probabilities of the multiple vegetation categories according to the soil characteristic information and the vegetation growth distribution to obtain multiple pieces of growth probability information; Obtaining multiple maximum shading areas of photovoltaic panels caused by the growth of the multiple vegetation types within a preset maintenance time period of the photovoltaic power station; Based on the multiple growth probability information, performing weighted calculation on the ratios of the multiple maximum shading areas and the maintenance time periods to obtain a vegetation shading rate; Acquire multiple maintenance times for the multiple vegetation categories, and use the multiple growth probability information to perform weighted calculation on ratios of the multiple maintenance times to a preset maintenance time to obtain vegetation maintainability information; Calculating the regional fitness based on the vegetation shading rate and the vegetation maintenance information, wherein the magnitudes of the vegetation shading rate and the vegetation maintenance information are negatively correlated with the magnitude of the regional fitness; Continue to optimize the construction area within the construction area, output the construction area with the greatest regional fitness, and obtain the optimal construction area.

4. The method for planning and constructing photovoltaic panels in a photovoltaic power station according to claim 3, characterized in that: Analyzing the growth probabilities of the multiple vegetation categories based on the soil characteristic information and the vegetation growth distribution to obtain multiple growth probability information, including: Acquire multiple sample soil characteristic information sets and multiple sample growth probability information sets based on historical growth monitoring data of the multiple vegetation categories within the vegetation growth distribution; Using the plurality of sample soil characteristic information sets and the plurality of sample growth probability information sets, respectively training a plurality of vegetation growth analysis branches to obtain a vegetation growth analyzer; The vegetation growth analyzer is used to analyze the soil characteristic information to obtain a plurality of growth probability information.

5. The method for planning and constructing photovoltaic panels in a photovoltaic power station according to claim 1, characterized in that: Within the optimal construction area, dust migration distribution within the optimal construction area is collected, and dust obstruction rate analysis of photovoltaic panels is performed in combination with the construction angle to obtain the dust obstruction rate, including: Collecting dust migration direction and dust migration concentration in the optimal construction area to obtain dust migration distribution; Based on the dust migration distribution and the construction perspective, predict the dust obstruction area within a preset maintenance period of the photovoltaic power station; A dust shielding rate is calculated based on the ratio of the dust shielding area to the maintenance time period.

6. The method for planning and constructing photovoltaic panels in a photovoltaic power station according to claim 1, characterized in that: Meteorological data within the construction area is collected, and photovoltaic power generation prediction is performed in combination with the construction angle, dust obstruction rate, and vegetation obstruction rate to obtain photovoltaic power generation information, including: collecting light parameters within the construction area as meteorological data; Collect sample meteorological data sets, sample construction angle sets, sample dust occlusion rate sets, and sample vegetation occlusion rate sets, and collect and annotate them to obtain sample photovoltaic power generation information sets; Training a photovoltaic power generation predictor using the sample meteorological data set, the sample construction angle set, the sample dust occlusion rate set, the sample vegetation occlusion rate set, and the sample photovoltaic power generation information set; The trained photovoltaic power generation predictor is used to input photovoltaic power generation prediction into the meteorological data, construction angle, dust occlusion rate and vegetation occlusion rate, and photovoltaic power generation information is obtained as output.

7. The method for planning and constructing photovoltaic panels in a photovoltaic power station according to claim 1, characterized in that: Continue to optimize the construction angle to obtain the optimal construction angle, including: Randomly adjusting the construction angle, and analyzing and predicting the dust blocking rate and photovoltaic power generation information; Continue to adjust and optimize the construction angle, output the construction angle with the maximum photovoltaic power generation information, and obtain the optimal construction angle.

8. A device for planning and constructing photovoltaic panels in a photovoltaic power station, characterized in that: The steps for implementing the method for planning and constructing photovoltaic panels in a photovoltaic power station according to any one of claims 1 to 7 include: A construction information selection module is used to obtain a construction area of ​​a photovoltaic power station construction plan, randomly select a construction area within the construction area and randomly plan the construction angles of photovoltaic panels, and collect regional coordinates and soil characteristic information within the construction area; A construction area optimization module is used to collect the vegetation growth distribution in the construction area, and combine the soil characteristic information to perform vegetation growth occlusion rate analysis and maintainability analysis of photovoltaic panels, obtain vegetation occlusion rate and vegetation maintainability information, and continue to optimize the construction area to obtain the optimal construction area; A dust obstruction rate analysis module is used to collect dust migration distribution within the optimal construction area, analyze the dust obstruction rate of the photovoltaic panels in combination with the construction angle, and obtain the dust obstruction rate; A construction angle optimization module is used to collect meteorological data within the construction area, combine the construction angle, dust obstruction rate and vegetation obstruction rate, perform photovoltaic power generation prediction, obtain photovoltaic power generation information, and continue to optimize the construction angle to obtain the optimal construction angle; The construction result obtaining module is used to continue to optimize the planning of construction areas and construction angles of other photovoltaic panels in the construction area except the optimal construction area, and obtain the planning and construction results.

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