Photovoltaic power station monitoring management system

Abstract

The invention discloses a photovoltaic power station monitoring and management system, and relates to the technical field of photovoltaic power station monitoring and management, and the system comprises an image monitoring terminal which is used for collecting an overall picture of a photovoltaic cluster, segmenting the collected picture to obtain a feature picture of each photovoltaic panel, carrying out the stain marking of the feature picture of each photovoltaic panel, and collecting the angle feature data; the data monitoring terminal is used for collecting angle data of each photovoltaic panel of the photovoltaic cluster; and the cross analysis module is used for carrying out comparison fault analysis and feedback on the photovoltaic tracking and adjusting system based on the angle characteristic data and the angle data. According to the method, the cleaning requirement of the photovoltaic panel is determined by evaluating the interference influence coefficient of the surface pollution of the photovoltaic panel on the photovoltaic panel and the safety risk coefficient of the photovoltaic panel, the power generation efficiency is remarkably improved, and meanwhile, the safety risk caused by too high assembly temperature possibly caused by hot spots caused by pollution is prevented.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power station monitoring and management, and in particular to a photovoltaic power station monitoring and management system. Background Art

[0002] The photovoltaic power station monitoring and management system is the core support platform for the efficient, safe and stable operation of photovoltaic power stations. It uses digital and intelligent means to achieve full life cycle monitoring and management of equipment, optimize power generation efficiency and reduce operation and maintenance costs.

[0003] For example, the invention patent with application publication number CN112017071A and application publication date December 1, 2020, and titled "A BIPV Rooftop Photovoltaic Power Station Intelligent Operation and Maintenance System", detects abnormal operation or failure of the rooftop photovoltaic power station through the monitoring subsystem, notifies the operation and maintenance management personnel through pop-up windows or text messages, and the operation and maintenance management personnel observe the operating parameters of the rooftop photovoltaic power station through a local monitoring computer or a remote monitoring mobile phone to determine the abnormal or faulty string, preliminarily determine the problem component through the monitoring camera, and send the component location information to the detection drone and the intelligent cleaning machine through the communication management machine. The detection drone automatically plans the route to detect whether the component is faulty on site, and determines the type of fault, and automatically returns after completion. If it is determined that there is an obstruction on the component, the intelligent cleaning machine automatically plans the cleaning route, goes to the problem component to clean and recycle the obstruction, and after the cleaning is completed, the intelligent cleaning machine automatically returns to the charging compartment to charge and sleep.

[0004] The shortcoming of the existing technology, including the above-mentioned application, is that when monitoring and managing photovoltaic power stations, the photovoltaic panels are mostly checked to see if there are any obstructions on the surface. If so, they are directly cleaned. This is a patrol-style cleaning method. There is no overall assessment and cleaning of the impact of surface contamination on the photovoltaic panels and the safety risks of hot spot failures caused by surface contamination on the photovoltaic panels. Summary of the Invention

[0005] The purpose of the present invention is to provide a photovoltaic power station monitoring and management system to solve the above-mentioned deficiencies in the prior art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a photovoltaic power station monitoring and management system, which is used to monitor and manage each photovoltaic panel in a photovoltaic power station, comprising:

[0007] An image monitoring terminal is used to collect overall photos of the photovoltaic cluster, segment the collected photos to obtain characteristic images of each photovoltaic panel, mark stains on the photovoltaic panel characteristic images, and collect angle characteristic data;

[0008] Data monitoring terminal, which is used to collect angle data of each photovoltaic panel in the photovoltaic cluster;

[0009] Cross-analysis module, which conducts comparative fault analysis on the photovoltaic tracking adjustment system based on angle feature data and angle data, and provides feedback;

[0010] The comprehensive analysis module calculates the interference impact coefficient and safety risk coefficient of the photovoltaic panel based on the stain mark evaluation of the photovoltaic panel characteristic image, and provides evaluation feedback on the photovoltaic panel cleaning needs.

[0011] As a further description of the above technical solution: marking the characteristic image of the photovoltaic panel with stains specifically includes the following steps:

[0012] The photovoltaic panel feature image is evenly divided into m small squares, and the photovoltaic panel feature image is gray-scale processed to obtain the grayscale value of each small square and mark it as the real-time grayscale value;

[0013] Obtain the grayscale value interval of each small square in the preset standard image and mark it as the standard grayscale value interval;

[0014] The real-time grayscale value of each small square in the photovoltaic panel feature image is compared and analyzed with the standard grayscale value interval, and the small squares whose real-time grayscale value does not belong to the standard grayscale value interval are marked as stains.

[0015] As a further description of the above technical solution: collecting angle feature data specifically includes the following steps:

[0016] Obtain the vertical projection distance and height data of the photovoltaic panel based on its characteristic image;

[0017] The angle feature data is calculated based on the vertical projection distance and height data, wherein the angle feature data is the angle value of the photovoltaic panel in the photovoltaic panel feature image.

[0018] As a further description of the above technical solution: Based on the angle characteristic data and the angle data, a comparative fault analysis of the photovoltaic tracking adjustment system is performed and feedback is provided, specifically:

[0019] Obtain standard angle data based on the time nodes of the collected photovoltaic panel feature images;

[0020] Compare the angle characteristic data with the angle data. If the angle characteristic data is different from the angle data, it indicates a fault in the photovoltaic tracking adjustment system and feedback is provided.

[0021] When the angle characteristic data is the same as the angle data but different from the standard angle data, it indicates that the photovoltaic tracking adjustment system is faulty and feedback is provided.

[0022] As a further description of the above technical solution: Based on the evaluation of the stain mark of the photovoltaic panel feature image, the interference impact coefficient and safety risk coefficient of the photovoltaic panel are calculated as follows:

[0023] Calculate the proportion of area polluted by photovoltaic panels;

[0024] Calculate the overall grid pollution interference ratio;

[0025] The interference impact coefficient is calculated based on the integrated evaluation of the proportion of the photovoltaic panel pollution area and the overall grid pollution interference ratio;

[0026] Calculate the safety risk factor based on the evaluation of the stains on the surface of the photovoltaic panels;

[0027] Integrate the interference impact coefficient and safety risk coefficient to evaluate and provide feedback on the cleaning needs of photovoltaic panels.

[0028] As a further description of the above technical solution: the proportion of photovoltaic panel pollution area is calculated as follows:

[0029] The number of squares marked with stains is counted, and the number of squares is multiplied by the area of a single square to obtain the contaminated area parameter, and the contaminated area parameter is divided by the total area of the photovoltaic panel to obtain the contaminated area ratio.

[0030] As a further description of the above technical solution: the calculation of the overall grid pollution interference ratio is specifically as follows:

[0031] Retrieve the real-time grayscale value of each grid;

[0032] When the real-time grayscale value of a square is greater than the maximum value of the standard grayscale value interval, the real-time grayscale value of the corresponding square is subtracted from the maximum value of the standard grayscale value interval and divided by half the sum of the maximum and minimum values of the standard grayscale value interval to calculate the pollution interference ratio of a single square;

[0033] When the real-time grayscale value of a square is less than the minimum value of the standard grayscale value interval, the minimum value of the standard grayscale value interval minus the real-time grayscale value of the corresponding square is divided by half the sum of the maximum and minimum values of the standard grayscale value interval to calculate the pollution interference ratio of a single square;

[0034] The average of the pollution interference ratios of each grid obtained will be calculated to obtain the overall pollution interference ratio of the grid.

[0035] As a further description of the above technical solution: the interference impact coefficient calculated based on the integrated evaluation of the pollution area ratio of the photovoltaic panel and the overall grid pollution interference ratio is specifically calculated by multiplying the pollution area ratio by the overall grid pollution interference ratio to obtain the photovoltaic panel interference impact coefficient.

[0036] As a further description of the above technical solution: the calculation of the safety risk factor based on the evaluation of the stain condition on the surface of the photovoltaic panel includes the following steps:

[0037] Calculate the maximum continuous contaminated area on the photovoltaic panel surface;

[0038] The safety risk factor is calculated by dividing the maximum continuous contaminated area by the photovoltaic panel area and then multiplying it by the shading rate of the maximum continuous contaminated area.

[0039] As a further description of the above technical solution: integrating the interference impact coefficient and the safety risk coefficient to evaluate the photovoltaic panel cleaning needs and provide feedback specifically includes the following steps:

[0040] Set the interference impact coefficient threshold and the security risk coefficient threshold;

[0041] Comparing the obtained interference influence coefficient and safety risk coefficient of each photovoltaic panel with the interference influence coefficient threshold and the safety risk coefficient threshold;

[0042] When either the interference impact coefficient or the safety risk coefficient of the photovoltaic panel exceeds the threshold, a corresponding photovoltaic panel cleaning instruction will be generated and feedback will be provided.

[0043] In the above technical solution, the present invention provides a photovoltaic power station monitoring and management system, which comprehensively analyzes the interference influence coefficient of photovoltaic panel pollution from two dimensions: the proportion of photovoltaic panel surface pollution area and the pollution interference proportion of the entire grid of photovoltaic panel surface pollution, comprehensively evaluates the pollution situation of photovoltaic panels, significantly improves the accuracy and comprehensiveness of cleaning evaluation, and provides data support for the cleaning of photovoltaic panels. Secondly, by evaluating the interference influence coefficient of photovoltaic panel surface pollution and the safety risk coefficient of photovoltaic panels from two directions, the cleaning requirements of photovoltaic panels are confirmed, which significantly improves the power generation efficiency. At the same time, it prevents hot spots caused by pollution from possibly causing safety risks caused by excessive component temperature. Cleaning plans are formulated based on pollution detection data, which reduces friction damage to photovoltaic panels caused by ineffective cleaning, reduces cleaning consumables and labor costs, and significantly improves the economic benefits and safety of power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0045] Figure 1 A schematic diagram of a photovoltaic power station monitoring and management system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0047] See also Figure 1The embodiment of the present invention provides a technical solution: a photovoltaic power station monitoring and management system, which is used to monitor and manage each photovoltaic panel in the photovoltaic power station to monitor and feedback the surface contamination of the photovoltaic panels and tracking and adjustment failures, including:

[0048] An image monitoring terminal is used to collect overall photos of the photovoltaic cluster, segment the collected photos to obtain characteristic images of each photovoltaic panel, mark stains on the photovoltaic panel characteristic images, and collect angle characteristic data;

[0049] The data monitoring terminal is used to collect the angle data of each photovoltaic panel in the photovoltaic cluster; the angle data is based on the time node of the characteristic image of the photovoltaic panel, and the photovoltaic tracking and adjustment system tracks and adjusts the photovoltaic panels based on the lighting conditions; the photovoltaic tracking and adjustment system includes a mechanical drive device and an intelligent control algorithm, which dynamically adjusts the orientation of the photovoltaic modules by real-time tracking the movement of the sun, so that they are always perpendicular to the sunlight to improve power generation efficiency.

[0050] Cross-analysis module, which conducts comparative fault analysis on the photovoltaic tracking adjustment system based on angle feature data and angle data, and provides feedback;

[0051] The comprehensive analysis module calculates the interference impact coefficient and safety risk coefficient of the photovoltaic panel based on the stain mark evaluation of the photovoltaic panel characteristic image, and provides evaluation feedback on the photovoltaic panel cleaning needs.

[0052] In another embodiment provided by the present invention, marking a characteristic image of a photovoltaic panel with stains specifically includes the following steps:

[0053] The photovoltaic panel feature image is evenly divided into m small squares, and the photovoltaic panel feature image is gray-scale processed to obtain the grayscale value of each small square and mark it as the real-time grayscale value;

[0054] Obtain the grayscale value interval of each small square in the preset standard image and mark it as a standard grayscale value interval, where the standard grayscale value interval has a standard grayscale value interval minimum value and a standard grayscale value interval maximum value. When the real-time grayscale value of the small square is within the standard grayscale value interval, it indicates that the corresponding small square is in a clean state;

[0055] The real-time grayscale value of each small square in the photovoltaic panel feature image is compared and analyzed with the standard grayscale value interval. The small squares whose real-time grayscale value does not belong to the standard grayscale value interval are marked as stains, indicating that the corresponding small square is in a contaminated state.

[0056] In another embodiment provided by the present invention, collecting angle feature data specifically includes the following steps:

[0057] Obtain the vertical projection distance and height data of the photovoltaic panel based on its characteristic image;

[0058] The angle feature data is calculated based on the vertical projection distance and height data, wherein the angle feature data is the angle value of the photovoltaic panel in the photovoltaic panel feature image.

[0059] In another embodiment provided by the present invention, a comparative fault analysis of a photovoltaic tracking and regulation system is performed based on angle characteristic data and angle data, and feedback is provided, specifically:

[0060] Obtain standard angle data based on the time node of the collected photovoltaic panel characteristic image; the standard angle data is the standard angle data of the photovoltaic panel under the lighting conditions at the time node of the collection of the photovoltaic panel special image;

[0061] Compare the angle characteristic data with the angle data. If the angle characteristic data is different from the angle data, it indicates a fault in the photovoltaic tracking adjustment system and feedback is provided.

[0062] When the angle characteristic data is the same as the angle data but different from the standard angle data, it indicates that the photovoltaic tracking adjustment system is faulty and feedback is provided.

[0063] This embodiment provides a photovoltaic power station monitoring and management system, which collects special images of photovoltaic panels to calculate and obtain special angle data of photovoltaic panels, collects angle data of photovoltaic panels through a data monitoring terminal, and then performs a comprehensive comparison of the three with standard angle data for fault analysis, thereby achieving a comprehensive verification and evaluation of faults in the photovoltaic tracking and regulation system, and significantly improving the accuracy and comprehensiveness of fault analysis of the photovoltaic tracking and regulation system.

[0064] In another embodiment provided by the present invention, the interference impact coefficient and safety risk coefficient of the photovoltaic panel are calculated based on the stain mark evaluation of the photovoltaic panel feature image as follows:

[0065] The contaminated area ratio of the photovoltaic panel is calculated as follows: the number of squares marked with stains is counted, and the contaminated area parameter is obtained by multiplying the number of squares by the area of a single square. The contaminated area parameter is divided by the overall area of the photovoltaic panel to obtain the contaminated area ratio. The contaminated area ratio represents the proportion of the contaminated area on the photovoltaic panel surface, and its maximum value is 1, indicating that the entire photovoltaic panel surface is contaminated.

[0066] Calculate the overall grid pollution interference ratio, specifically: call the real-time grayscale value of each grid;

[0067] When the real-time grayscale value of a square is greater than the maximum value of the standard grayscale value interval, the real-time grayscale value of the corresponding square is subtracted from the maximum value of the standard grayscale value interval and divided by half the sum of the maximum and minimum values of the standard grayscale value interval to calculate the pollution interference ratio of a single square;

[0068] When the real-time grayscale value of a square is less than the minimum value of the standard grayscale value interval, the minimum value of the standard grayscale value interval minus the real-time grayscale value of the corresponding square is divided by half the sum of the maximum and minimum values of the standard grayscale value interval to calculate the pollution interference ratio of a single square;

[0069] The average of the pollution interference ratios of each grid is calculated to obtain the overall grid pollution interference ratio; the overall grid pollution interference ratio represents the proportion of the impact of stains on the surface of the photovoltaic panel on photovoltaic power generation, and its maximum value is 1, which means that the polluted area on the surface of the photovoltaic panel cannot be used for photovoltaic power generation.

[0070] The interference impact coefficient is calculated based on the integrated evaluation of the pollution area ratio of photovoltaic panels and the overall grid pollution interference ratio. Specifically, the pollution area ratio is multiplied by the overall grid pollution interference ratio to obtain the photovoltaic panel interference impact coefficient, where the interference impact coefficient is used to indicate the interference effect of photovoltaic panel pollution on photovoltaic power generation by photovoltaic panels.

[0071] This embodiment provides a photovoltaic power station monitoring and management system, which comprehensively analyzes the influence coefficient of photovoltaic panel pollution on photovoltaic panel interference from two dimensions: the proportion of the contaminated area on the photovoltaic panel surface and the proportion of pollution interference in the entire grid of photovoltaic panel surface pollution. It comprehensively evaluates the pollution status of the photovoltaic panels, significantly improves the accuracy and comprehensiveness of the cleaning assessment, and provides data support for the cleaning of the photovoltaic panels.

[0072] Calculate the safety risk factor based on the evaluation of the stains on the surface of the photovoltaic panels;

[0073] Integrate the interference impact coefficient and safety risk coefficient to evaluate and provide feedback on the cleaning needs of photovoltaic panels.

[0074] In another embodiment provided by the present invention, calculating the safety risk factor based on the evaluation of the stain condition on the surface of the photovoltaic panel includes the following steps:

[0075] Calculate the maximum continuous contaminated area on the photovoltaic panel surface;

[0076] Specifically, create a two-dimensional matrix corresponding to the characteristic image of the photovoltaic panel, use 1 to represent the stained square and 0 to represent the non-stained square;

[0077] Use the connected region marking algorithm to identify and mark all the connected regions of the stain in the image. The optional connected region marking algorithm can be depth-first search DFS or breadth-first search BFS.

[0078] During the labeling process, an identifier is assigned to each connected area, and the connected area to which each square belongs is recorded;

[0079] The area of each connected area is calculated by counting the number of squares in each connected area, and the areas of all connected areas are compared to determine the largest connected area, which is recorded as the maximum continuous pollution area.

[0080] Calculate the occlusion rate of the maximum continuous contaminated area;

[0081] The specific calculation of the shading rate of the maximum continuous pollution area is as follows: the difference between the standard output power of the photovoltaic panel and the actual output power of the photovoltaic panel under pollution conditions is calculated, and the difference is divided by the standard output power of the photovoltaic panel to obtain the shading rate of the maximum continuous pollution area of the photovoltaic panel;

[0082] The safety risk factor is calculated by dividing the maximum continuous contaminated area by the photovoltaic panel area and then multiplying it by the shading rate of the maximum continuous contaminated area.

[0083] Integrating the interference impact coefficient and safety risk coefficient to evaluate the photovoltaic panel cleaning needs and provide feedback includes the following steps:

[0084] Set the interference impact coefficient threshold and the security risk coefficient threshold;

[0085] Comparing the obtained interference influence coefficient and safety risk coefficient of each photovoltaic panel with the interference influence coefficient threshold and the safety risk coefficient threshold;

[0086] When either the interference impact coefficient or the safety risk coefficient of the photovoltaic panel exceeds the threshold, a corresponding photovoltaic panel cleaning instruction will be generated and feedback will be provided.

[0087] This embodiment provides a photovoltaic power station monitoring and management system, which confirms the cleaning requirements of photovoltaic panels by evaluating the interference effect coefficient of photovoltaic panel surface contamination on photovoltaic panels and the safety risk coefficient of photovoltaic panels, thereby significantly improving power generation efficiency. At the same time, it prevents hot spots caused by pollution from causing excessive component temperature and creating safety risks. Cleaning plans are formulated based on pollution detection data to reduce friction damage to photovoltaic panels caused by ineffective cleaning, reduce cleaning consumables and labor costs, and significantly improve the economic benefits and safety of power stations. The above only describes certain exemplary embodiments of the present invention by way of illustration. Needless to say, for ordinary technicians in this field, the described embodiments can be modified in various different ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be understood as limiting the scope of protection of the claims of the present invention.

Claims

1. A photovoltaic power station monitoring and management system, which is used to monitor and manage each photovoltaic panel in a photovoltaic power station, characterized in that: include: An image monitoring terminal is used to collect overall photos of the photovoltaic cluster, segment the collected photos to obtain characteristic images of each photovoltaic panel, mark stains on the photovoltaic panel characteristic images, and collect angle characteristic data; Data monitoring terminal, which is used to collect angle data of each photovoltaic panel in the photovoltaic cluster; Cross-analysis module, which conducts comparative fault analysis on the photovoltaic tracking adjustment system based on angle feature data and angle data, and provides feedback; The comprehensive analysis module calculates the interference impact coefficient and safety risk coefficient of the photovoltaic panel based on the stain mark evaluation of the photovoltaic panel characteristic image, and provides evaluation feedback on the photovoltaic panel cleaning needs.

2. A photovoltaic power station monitoring and management system according to claim 1, characterized in that: The stain marking of the photovoltaic panel feature image specifically includes the following steps: The photovoltaic panel feature image is evenly divided into m small squares, and the photovoltaic panel feature image is gray-scale processed to obtain the grayscale value of each small square and mark it as the real-time grayscale value; Obtain the grayscale value interval of each small square in the preset standard image and mark it as the standard grayscale value interval; The real-time grayscale value of each small square in the photovoltaic panel feature image is compared and analyzed with the standard grayscale value interval, and the small squares whose real-time grayscale value does not belong to the standard grayscale value interval are marked as stains.

3. A photovoltaic power station monitoring and management system according to claim 1, characterized in that: Collecting angle feature data specifically includes the following steps: Obtain the vertical projection distance and height data of the photovoltaic panel based on its characteristic image; The angle feature data is calculated based on the vertical projection distance and height data, wherein the angle feature data is the angle value of the photovoltaic panel in the photovoltaic panel feature image.

4. A photovoltaic power station monitoring and management system according to claim 1, characterized in that: Based on the angle characteristic data and angle data, the photovoltaic tracking adjustment system is compared and fault analyzed, and feedback is provided, specifically: Obtain standard angle data based on the time nodes of the collected photovoltaic panel feature images; Compare the angle characteristic data with the angle data. If the angle characteristic data is different from the angle data, it indicates a fault in the photovoltaic tracking adjustment system and feedback is provided. When the angle characteristic data is the same as the angle data but different from the standard angle data, it indicates that the photovoltaic tracking adjustment system is faulty and feedback is provided.

5. A photovoltaic power station monitoring and management system according to claim 1, characterized in that: The specific calculation of the photovoltaic panel interference impact coefficient and safety risk coefficient based on the stain mark evaluation of the photovoltaic panel feature image is: Calculate the proportion of area polluted by photovoltaic panels; Calculate the overall grid pollution interference ratio; The interference impact coefficient is calculated based on the integrated evaluation of the proportion of the photovoltaic panel pollution area and the overall grid pollution interference ratio; Calculate the safety risk factor based on the evaluation of the stains on the surface of the photovoltaic panels; Integrate the interference impact coefficient and safety risk coefficient to evaluate and provide feedback on the cleaning needs of photovoltaic panels.

6. A photovoltaic power station monitoring and management system according to claim 5, characterized in that: The specific calculation of the proportion of photovoltaic panel pollution area is: The number of squares marked with stains is counted, and the number of squares is multiplied by the area of a single square to obtain the contaminated area parameter, and the contaminated area parameter is divided by the total area of the photovoltaic panel to obtain the contaminated area ratio.

7. A photovoltaic power station monitoring and management system according to claim 5, characterized in that: The specific calculation of the overall grid pollution interference ratio is: Retrieve the real-time grayscale value of each grid; When the real-time grayscale value of a square is greater than the maximum value of the standard grayscale value interval, the real-time grayscale value of the corresponding square is subtracted from the maximum value of the standard grayscale value interval and divided by half the sum of the maximum and minimum values of the standard grayscale value interval to calculate the pollution interference ratio of a single square; When the real-time grayscale value of a square is less than the minimum value of the standard grayscale value interval, the minimum value of the standard grayscale value interval minus the real-time grayscale value of the corresponding square is divided by half the sum of the maximum and minimum values of the standard grayscale value interval to calculate the pollution interference ratio of a single square; The average of the pollution interference ratios of each grid obtained will be calculated to obtain the overall pollution interference ratio of the grid.

8. The photovoltaic power station monitoring and management system according to claim 5, characterized in that: The interference impact coefficient is calculated based on the integrated evaluation of the pollution area ratio of the photovoltaic panel and the pollution interference ratio of the entire grid. Specifically, the pollution area ratio is multiplied by the pollution interference ratio of the entire grid to obtain the interference impact coefficient of the photovoltaic panel.

9. The photovoltaic power station monitoring and management system according to claim 5, characterized in that: The calculation of the safety risk factor based on the surface stain condition of photovoltaic panels includes the following steps: Calculate the maximum continuous contaminated area on the photovoltaic panel surface; The safety risk factor is calculated by dividing the maximum continuous contaminated area by the photovoltaic panel area and then multiplying it by the shading rate of the maximum continuous contaminated area.

10. A photovoltaic power station monitoring and management system according to claim 5, characterized in that: Integrating the interference impact coefficient and safety risk coefficient to evaluate the photovoltaic panel cleaning needs and provide feedback includes the following steps: Set the interference impact coefficient threshold and the security risk coefficient threshold; Comparing the obtained interference influence coefficient and safety risk coefficient of each photovoltaic panel with the interference influence coefficient threshold and the safety risk coefficient threshold; When either the interference impact coefficient or the safety risk coefficient of the photovoltaic panel exceeds the threshold, a corresponding photovoltaic panel cleaning instruction will be generated and feedback will be provided.

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