A photovoltaic panel remote monitoring management and fault operation and maintenance integrated system

Abstract

The present invention relates to the technical field of Internet of Things, and in particular to a photovoltaic panel remote monitoring management and fault operation and maintenance integrated system, comprising an appearance data detection module, an appearance data analysis module, an illumination data detection module, an illumination data analysis module, an electric power data detection module, an electric power data analysis module, an electric power data adjustment module, and a management database. The system obtains the appearance evaluation coefficient of each photovoltaic panel through the appearance data analysis of each photovoltaic panel, and performs feedback. The illumination uniformity of each photovoltaic panel is obtained through the illumination data analysis of each photovoltaic panel, so as to judge whether each photovoltaic panel is blocked by shadows. The power generation efficiency evaluation coefficient of the photovoltaic panel is obtained through analysis, and then the electric power data of each photovoltaic panel is adjusted, which is helpful to improve system efficiency, extend equipment life, and reduce maintenance costs, thereby achieving higher performance and reliability of the photovoltaic system.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a photovoltaic panel remote monitoring management and fault operation and maintenance integrated system. Background Art

[0002] Photovoltaic panels are devices that use light energy to generate electricity, also known as solar panels. Photovoltaic panels convert light energy into electrical energy through the photoelectric effect and are often used in solar power generation systems. The main principle of photovoltaic panels is to use the energy of photons to excite electrons in semiconductor materials, thereby generating electric current.

[0003] With the increasing awareness of environmental protection and the growing demand for renewable energy, photovoltaic panels have become an important way to generate clean energy. In practical applications, photovoltaic panels are usually composed of multiple solar cells. Under the irradiation of sunlight, they generate direct current and output it for power supply.

[0004] Photovoltaic panels are the core components of solar power generation systems. Various faults may occur during operation and require timely operation and maintenance to ensure the normal operation of the system and power generation efficiency. Timely elimination of photovoltaic panel faults is crucial to ensuring the long-term stability and power generation efficiency of the system.

[0005] The patent name is a technical solution published in a Chinese patent entitled "A photovoltaic panel temperature monitoring method and system" (patent number 202211500308.3). This solution monitors the temperature of photovoltaic panels and transmits data to the concentrator and server, and presets temperature values ​​for monitoring and alarm processing to achieve temperature monitoring and control. It can monitor the temperature of each photovoltaic panel for a long time and implement over-temperature protection function to protect photovoltaic panels and photovoltaic power stations. However, there are still some shortcomings: First, this solution monitors the temperature of photovoltaic panels to achieve temperature monitoring and control, but does not take into account various factors that may affect the temperature of photovoltaic panels. For example, obstruction may cause uneven temperature of photovoltaic panels, affecting the overall performance and power generation efficiency of photovoltaic panels.

[0006] Second, the plan does not involve an analysis of the efficiency of the photovoltaic panels themselves. The efficiency of the photovoltaic panels directly affects the energy conversion efficiency and the overall performance of the system, which may lead to low power generation efficiency of the system, waste of resources and impact on the environment. Summary of the invention

[0007] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an integrated system for remote monitoring management and fault operation and maintenance of photovoltaic panels, which can effectively solve the problems involved in the above-mentioned background technology.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an integrated system for remote monitoring management and fault operation and maintenance of photovoltaic panels, including: an appearance data detection module, which is used to detect the appearance data of each photovoltaic panel, and the appearance data includes the degree of damage, degree of dirtiness, and degree of looseness of the connection.

[0009] The appearance data analysis module is used to obtain the appearance evaluation coefficient of each photovoltaic panel according to the appearance data analysis of each photovoltaic panel and provide feedback.

[0010] The light data detection module is used to detect the light data of each photovoltaic panel, and the light data includes light intensity and temperature uniformity.

[0011] The illumination data analysis module is used to analyze the illumination data of each photovoltaic panel to obtain the illumination uniformity of each photovoltaic panel, so as to determine whether each photovoltaic panel is blocked by shadows.

[0012] The power data detection module is used to detect the power data of each photovoltaic panel, and the power data includes power and power generation.

[0013] The power data analysis module is used to obtain the power generation efficiency evaluation coefficient of the photovoltaic panel based on the power data of each photovoltaic panel, and compare it with the preset power generation efficiency evaluation coefficient threshold to obtain the power generation efficiency of the photovoltaic panel.

[0014] The power data adjustment module is used to adjust the power data of each photovoltaic panel according to the power generation efficiency evaluation coefficient of the photovoltaic panel.

[0015] The management database is used to store factory images of photovoltaic panels, standard contact areas between photovoltaic panels and their corresponding cables, temperatures corresponding to various chromaticity value ranges, and standard voltages and currents corresponding to preset power generation efficiency evaluation coefficient thresholds.

[0016] Preferably, the specific analysis process of the appearance data detection module is as follows: the first step is to obtain the image of each photovoltaic panel through a camera, and read the factory image of the photovoltaic panel from the management database, and use the edge contour detection technology to extract the edge contour of each photovoltaic panel image and the photovoltaic panel factory image, respectively, and record them as the edge contour of each photovoltaic panel and the standard edge contour of the photovoltaic panel, and overlap the edge contour of each photovoltaic panel with the standard edge contour of the photovoltaic panel to obtain the overlapping length of the edge contour of each photovoltaic panel, which is recorded as d i , where i represents the number of the i-th photovoltaic panel, i=1,2,...,n, and substitute it into the formula Get the damage degree λ of each photovoltaic panel i , d0 represents the length of the set standard edge profile of the photovoltaic panel.

[0017] In the second step, the images of each photovoltaic panel and the factory images of the photovoltaic panel are grayed and the gray values ​​of each pixel point of each photovoltaic panel image and the factory images of the photovoltaic panel are detected, which are recorded as G if , G' f , f represents the number of the f-th pixel, f=1,2,...,r, through the formula ΔG if =|G' f -G if |Get the grayscale difference ΔG of each pixel in each photovoltaic panel image if , compare it with the preset grayscale difference range, filter out all the pixels in each photovoltaic panel image whose grayscale difference is not in the preset grayscale difference range, and record its number as p i , through the formula Get the degree of dirtiness of each photovoltaic panel γ i , r represents the total number of pixels.

[0018] The third step is to monitor the real-time image of each photovoltaic panel cable through a surveillance camera, and then obtain the connection image of each photovoltaic panel and its corresponding cable, which is recorded as the connection image of each photovoltaic panel cable. According to the connection image of each photovoltaic panel cable, the connection area S of each photovoltaic panel and cable is obtained. i The allowable loose area S' corresponding to the connection between the photovoltaic panel and the cable is extracted from the management database, and then the looseness degree of the connection of each photovoltaic panel is analyzed based on this. Its formula is e represents a natural constant and n represents the number of photovoltaic panels.

[0019] Preferably, the specific analysis process of the appearance data analysis module is as follows: Step 1, reading the damage degree λ of each photovoltaic panel i , degree of dirtiness i , connection looseness Substituting this into the formula Get the appearance evaluation coefficient of each photovoltaic panel in They represent the weight factors of the preset damage degree, dirt degree, and loose connection degree respectively, and e represents a natural constant.

[0020] In the second step, the appearance evaluation coefficient of each photovoltaic panel is compared with the preset appearance evaluation coefficient threshold. If the appearance evaluation coefficient of a photovoltaic panel is greater than or equal to the preset appearance evaluation coefficient threshold, it means that the appearance evaluation of the photovoltaic panel is qualified. If the appearance evaluation coefficient of a photovoltaic panel is less than the preset appearance evaluation coefficient threshold, it means that the appearance evaluation of the photovoltaic panel is unqualified, and feedback is given to the system.

[0021] Preferably, the specific analysis process of the light data detection module is as follows: In the first step, the working time of the photovoltaic panel is divided into a number of equal-length time periods, recorded as each time period, and the light intensity of each photovoltaic panel in each time period is detected by a light meter, recorded as L ix , where x represents the number of the xth time period, x=1,2,...,y, and substitute it into the formula Get the light intensity L of each photovoltaic panel i , y represents the number of time periods.

[0022] In the second step, the heat of each photovoltaic panel is captured by infrared radiation imaging technology and converted into a thermal map of each photovoltaic panel. The thermal map of each photovoltaic panel is divided into several regions of equal area, recorded as each region of each photovoltaic panel, and several equally spaced measurement points are randomly selected to detect the chromaticity value of each measurement point in each region of each photovoltaic panel, recorded as ε ikj , where k represents the number of the kth region, k = 1, 2, ..., g, j represents the number of the jth measurement point, j = 1, 2, ..., l, through the formula Get the average chromaticity value of each area of ​​each photovoltaic panel l represents the number of measurement points. At the same time, the corresponding temperature of each chromaticity value range is read from the management database. The average chromaticity value of each area of ​​each photovoltaic panel is compared with the corresponding temperature of each chromaticity value range. The corresponding temperature of the chromaticity value range to which the average chromaticity value of each area of ​​each photovoltaic panel belongs is obtained, which is recorded as the temperature of each area of ​​each photovoltaic panel σ ik , the average temperature of each photovoltaic panel is obtained by taking the average temperature of each area of ​​each photovoltaic panel, which is recorded as Substituting this into the formula Get the temperature uniformity of each photovoltaic panel α i , g represents the number of regions.

[0023] Preferably, the specific analysis process of the light data analysis module is as follows: the first step is to read the light intensity L of each photovoltaic panel respectively. i , the temperature uniformity of each photovoltaic panel α i , substituting it into the formula Get the uniformity of illumination of each photovoltaic panel χ i , where φ1 and φ2 represent the weight factors of the set light intensity and temperature uniformity, respectively, and n represents the number of photovoltaic panels.

[0024] In the second step, the illumination uniformity of each photovoltaic panel is compared with the preset illumination uniformity threshold. If the illumination uniformity of a photovoltaic panel is greater than or equal to the preset illumination uniformity threshold, it indicates that the illumination uniformity of the photovoltaic panel is qualified and is not blocked by shadows. If the illumination uniformity of a photovoltaic panel is less than the preset illumination uniformity threshold, it indicates that the illumination uniformity of the photovoltaic panel is unqualified and is blocked by shadows, and feedback is given to the system.

[0025] Preferably, the specific analysis method of the power data detection module is: select a number of time points at random according to the set time interval, and use a voltmeter and an ammeter to detect the voltage and current of each photovoltaic panel at each time point, and record it as the voltage V of each photovoltaic panel at each time point. im 、Current I im , where m represents the number of the mth time point, m = 1, 2, ..., q, through the formula Get the power P of each photovoltaic panel i , q represents the number of time points, and the light intensity L of each photovoltaic panel is read at the same time i , substituting it into Formula E i =P i *Δt*κ1 to obtain the power generation E of each photovoltaic panel i , Δt represents the length of the set time interval, and κ1 represents the proportional constant of the set power and power generation.

[0026] Preferably, the specific analysis process of the power data analysis module is as follows: the first step is to read the power P of each photovoltaic panel respectively. i , Power generation E i , substituting it into the formula The power generation efficiency evaluation coefficient ψ of the photovoltaic panel is obtained, where φ3 and φ4 represent the weight factors of the set power and power generation, respectively, and n represents the number of photovoltaic panels.

[0027] In the second step, the power generation efficiency evaluation coefficient of the photovoltaic panel is compared with the preset power generation efficiency evaluation coefficient threshold. If the power generation efficiency evaluation coefficient of the photovoltaic panel is greater than or equal to the preset power generation efficiency evaluation coefficient threshold, it means that the power generation efficiency of the photovoltaic panel is qualified. If the power generation efficiency evaluation coefficient of the photovoltaic panel is less than the preset power generation efficiency evaluation coefficient threshold, it means that the power generation efficiency of the photovoltaic panel is unqualified, and it is recorded as an unqualified photovoltaic panel and feedback is given to the system.

[0028] Preferably, the specific analysis method of the power data adjustment module is: respectively read the voltage and current of each photovoltaic panel at each time point, and screen out the voltage and current of each unqualified photovoltaic panel at each time point, which are recorded as V hm ,I hm , where h represents the number of the h-th unqualified photovoltaic panel, h=1,2,...,n, through the formula Get the average voltage of each unqualified photovoltaic panel q represents the number of time points, and the current of each unqualified photovoltaic panel at each time point is detected according to the method of analyzing the average voltage of each unqualified photovoltaic panel, and the average current of each unqualified photovoltaic panel is obtained, which is recorded as The preset power generation efficiency evaluation coefficient threshold corresponding to the standard voltage and current are extracted from the management database, recorded as V0 and I0, and substituted into the formula Get the voltage and current adjustment value ΔV of each unqualified photovoltaic panel h , ΔI h .

[0029] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention obtains the appearance evaluation coefficient of each photovoltaic panel based on the appearance data analysis of each photovoltaic panel, and provides feedback, which is conducive to monitoring the equipment status, timely discovering potential problems, and performing maintenance and repair in advance to ensure that the photovoltaic panels are in good operating condition.

[0030] 2. The present invention obtains the illumination uniformity of each photovoltaic panel based on the illumination data analysis of each photovoltaic panel, thereby judging whether each photovoltaic panel is blocked by shadows, which helps operation and maintenance personnel to quickly locate the problem area and take corresponding measures to adjust the layout of photovoltaic panels or remove obstructions, thereby ensuring that the photovoltaic panels fully receive sunlight and improving power generation efficiency.

[0031] 3. The present invention obtains the power generation efficiency evaluation coefficient of the photovoltaic panel based on the power data of each photovoltaic panel, and compares it with the preset power generation efficiency evaluation coefficient threshold to obtain the power generation efficiency of the photovoltaic panel. The photovoltaic panel with low power generation efficiency can be quickly located, which helps operation and maintenance personnel to conduct targeted troubleshooting and repairs, reduce troubleshooting time, and improve problem solving efficiency.

[0032] Fourth, the present invention adjusts the power data of each photovoltaic panel according to the power generation efficiency evaluation coefficient of the photovoltaic panel, which can help balance the power generation efficiency differences between photovoltaic panels and improve the overall performance of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0034] Figure 1 This is a system module connection diagram of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] See also Figure 1 As shown, a photovoltaic panel remote monitoring management and fault operation and maintenance integrated system includes an appearance data detection module, an appearance data analysis module, a light data detection module, a light data analysis module, a power data detection module, a power data analysis module, a power data adjustment module, and a management database.

[0037] The management database is connected to the appearance data analysis module, the illumination data analysis module, the power data analysis module, and the power data adjustment module; the appearance data detection module is connected to the appearance data analysis module, the illumination data analysis module is connected to the illumination data detection module, and the power data analysis module is connected to the power data detection module.

[0038] The appearance data detection module is used to detect the appearance data of each photovoltaic panel, and the appearance data includes the degree of damage, degree of dirtiness, and degree of looseness of the connection.

[0039] The specific analysis process of the appearance data detection module is as follows: In the first step, the image of each photovoltaic panel is obtained through a camera, and the factory image of the photovoltaic panel is read from the management database. The edge contour detection technology is used to extract the edge contour of each photovoltaic panel image and the factory image of the photovoltaic panel, which are recorded as the edge contour of each photovoltaic panel and the standard edge contour of the photovoltaic panel. The edge contour of each photovoltaic panel is overlapped with the standard edge contour of the photovoltaic panel to obtain the overlapping length of the edge contour of each photovoltaic panel, which is recorded as d i , where i represents the number of the i-th photovoltaic panel, i=1,2,...,n, and substitute it into the formula Get the damage degree λ of each photovoltaic panel i , d0 represents the length of the set standard edge profile of the photovoltaic panel; by regularly detecting the damage degree of the photovoltaic panel, preventive maintenance can be achieved to avoid greater losses due to serious damage, thereby saving maintenance costs.

[0040] In the second step, the images of each photovoltaic panel and the factory images of the photovoltaic panel are grayed and the gray values ​​of each pixel point of each photovoltaic panel image and the factory images of the photovoltaic panel are detected, which are recorded as G if , G' f , f represents the number of the f-th pixel, f=1,2,...,r, through the formula ΔG if =|G' f -Gif |Get the grayscale difference ΔG of each pixel in each photovoltaic panel image if , compare it with the preset grayscale difference range, filter out all the pixels in each photovoltaic panel image whose grayscale difference is not in the preset grayscale difference range, and record its number as p i , through the formula Get the degree of dirtiness of each photovoltaic panel γ i , r represents the total number of pixels; it is convenient to notify the management personnel in time to carry out cleaning and maintenance to avoid dirt affecting the power generation efficiency of the photovoltaic panels.

[0041] The third step is to monitor the real-time image of each photovoltaic panel cable through a surveillance camera, and then obtain the connection image of each photovoltaic panel and its corresponding cable, which is recorded as the connection image of each photovoltaic panel cable. According to the connection image of each photovoltaic panel cable, the connection area S of each photovoltaic panel and cable is obtained. i The allowable loose area S' corresponding to the connection between the photovoltaic panel and the cable is extracted from the management database, and then the looseness degree of the connection of each photovoltaic panel is analyzed based on this. Its formula is e represents a natural constant, and n represents the number of photovoltaic panels. By promptly discovering connection problems between photovoltaic panels and cables and quantitatively evaluating the degree of looseness of the connections, preventive maintenance measures can be implemented to avoid equipment damage caused by connection problems.

[0042] The appearance data analysis module is used to obtain the appearance evaluation coefficient of each photovoltaic panel according to the appearance data analysis of each photovoltaic panel and provide feedback.

[0043] The specific analysis process of the appearance data analysis module is as follows: Step 1: Read the damage degree λ of each photovoltaic panel i , degree of dirtiness i , connection looseness Substituting this into the formula Get the appearance evaluation coefficient of each photovoltaic panel in They represent the preset weight factors of damage degree, dirtiness degree and looseness of connection respectively, and e represents a natural constant. It can help managers to find problems in time, formulate preventive maintenance measures, and ensure the long-term stable operation of photovoltaic panel equipment.

[0044] It should be noted that, in a specific embodiment, It can be set to 0.4. It can be set to 0.2. It can be set to 0.4. The degree of damage is one of the important indicators for evaluating the appearance quality of photovoltaic panels. A high degree of damage will affect the appearance and performance of photovoltaic panels. The degree of loose connection is an indicator for evaluating the safety of the photovoltaic panel wiring system. Loose connection will affect the stability and safety of the photovoltaic panel system. Therefore, the degree of damage and the degree of loose connection have higher corresponding weights.

[0045] In the second step, the appearance evaluation coefficient of each photovoltaic panel is compared with the preset appearance evaluation coefficient threshold. If the appearance evaluation coefficient of a photovoltaic panel is greater than or equal to the preset appearance evaluation coefficient threshold, it means that the appearance evaluation of the photovoltaic panel is qualified. If the appearance evaluation coefficient of a photovoltaic panel is less than the preset appearance evaluation coefficient threshold, it means that the appearance evaluation of the photovoltaic panel is unqualified, and feedback is given to the system. By comparing the appearance evaluation coefficient of each photovoltaic panel with the preset appearance evaluation coefficient threshold, the appearance quality of the photovoltaic panel can be judged, thereby realizing the management and control of the quality of the photovoltaic panels.

[0046] The light data detection module is used to detect the light data of each photovoltaic panel, and the light data includes light intensity and temperature uniformity.

[0047] The specific analysis process of the light data detection module is as follows: In the first step, the working time of the photovoltaic panel is divided into several equal-length time periods, recorded as each time period, and the light intensity of each photovoltaic panel in each time period is detected by a light meter, recorded as L ix , where x represents the number of the xth time period, x=1,2,...,y, and substitute it into the formula Get the light intensity L of each photovoltaic panel i , y represents the number of time periods; by monitoring and analyzing the light intensity, it can help optimize the maintenance plan of photovoltaic panels, reasonably arrange maintenance time, and improve maintenance efficiency and the service life of photovoltaic panels.

[0048] In the second step, the heat of each photovoltaic panel is captured by infrared radiation imaging technology and converted into a thermal map of each photovoltaic panel. The thermal map of each photovoltaic panel is divided into several regions of equal area, recorded as each region of each photovoltaic panel, and several equally spaced measurement points are randomly selected to detect the chromaticity value of each measurement point in each region of each photovoltaic panel, recorded as ε ikj , where k represents the number of the kth region, k = 1, 2, ..., g, j represents the number of the jth measurement point, j = 1, 2, ..., l, through the formula Get the average chromaticity value of each area of ​​each photovoltaic panel l represents the number of measurement points. At the same time, the corresponding temperature of each chromaticity value range is read from the management database. The average chromaticity value of each area of ​​each photovoltaic panel is compared with the corresponding temperature of each chromaticity value range. The corresponding temperature of the chromaticity value range to which the average chromaticity value of each area of ​​each photovoltaic panel belongs is obtained, which is recorded as the temperature of each area of ​​each photovoltaic panel σ ik , the average temperature of each photovoltaic panel is obtained by taking the average temperature of each area of ​​each photovoltaic panel, which is recorded as Substituting this into the formula Get the temperature uniformity of each photovoltaic panel α i , g represents the number of regions; by capturing the heat of each photovoltaic panel through infrared radiation imaging technology and converting it into a thermal map, the working status of the photovoltaic panel can be monitored in real time, and abnormal areas can be discovered in time, which is helpful to accurately locate and diagnose potential faults.

[0049] The illumination data analysis module is used to analyze the illumination data of each photovoltaic panel to obtain the illumination uniformity of each photovoltaic panel, so as to determine whether each photovoltaic panel is blocked by shadows.

[0050] The specific analysis process of the illumination data analysis module is as follows: The first step is to read the illumination intensity L of each photovoltaic panel respectively. i , the temperature uniformity of each photovoltaic panel α i , substituting it into the formula Get the uniformity of illumination of each photovoltaic panel χ i , where φ1 and φ2 represent the weight factors of the set light intensity and temperature uniformity respectively, and n represents the number of photovoltaic panels. By calculating the light uniformity, it can help to quickly discover possible faults or abnormal conditions in the photovoltaic panel system. Once uneven light or temperature occurs, the system can promptly alarm and notify relevant personnel to handle it, which helps to improve the stability and reliability of the system.

[0051] It should be noted that in a specific embodiment, φ1 can be set to 0.5, φ2 can be set to 0.5, light intensity refers to the energy flow density of light per unit area, which has an important impact on the power generation performance of the photovoltaic panel, and temperature uniformity refers to the uniformity of the surface temperature of the photovoltaic panel, which has a significant impact on the performance and life of the photovoltaic panel. Therefore, the weights corresponding to light intensity and temperature uniformity are equal.

[0052] In the second step, the illumination uniformity of each photovoltaic panel is compared with the preset illumination uniformity threshold. If the illumination uniformity of a photovoltaic panel is greater than or equal to the preset illumination uniformity threshold, it indicates that the illumination uniformity of the photovoltaic panel is qualified and is not blocked by shadows. If the illumination uniformity of a photovoltaic panel is less than the preset illumination uniformity threshold, it indicates that the illumination uniformity of the photovoltaic panel is unqualified and is blocked by shadows, and feedback is given to the system. The system feeds back the information of illumination uniformity of the photovoltaic panels to the operator, who can remotely monitor the working status of each photovoltaic panel and timely grasp the system operation status, which helps to ensure the normal operation of the photovoltaic panel system and improve the stability and reliability of the system.

[0053] The power data detection module is used to detect the power data of each photovoltaic panel, and the power data includes power and power generation.

[0054] The specific analysis method of the power data detection module is: select a number of time points at random according to the set time interval, and use a voltmeter and an ammeter to detect the voltage and current of each photovoltaic panel at each time point, and record it as the voltage V of each photovoltaic panel at each time point. im 、Current I im , where m represents the number of the mth time point, m = 1, 2, ..., q, through the formula Get the power P of each photovoltaic panel i , q represents the number of time points, and the light intensity L of each photovoltaic panel is read at the same time i , substituting it into Formula E i =P i *Δt*κ1 to obtain the power generation E of each photovoltaic panel i , Δt represents the length of the set time interval, κ1 represents the proportional constant of the set power and power generation; by real-time monitoring of the power generation of the photovoltaic panel system, problems in the system can be discovered and solved in a timely manner, the energy utilization efficiency of the system can be improved, energy consumption can be reduced, and dependence on traditional energy can be reduced, thereby achieving the goal of energy conservation and emission reduction.

[0055] The power data analysis module is used to obtain the power generation efficiency evaluation coefficient of the photovoltaic panel based on the power data of each photovoltaic panel, and compare it with the preset power generation efficiency evaluation coefficient threshold to obtain the power generation efficiency of the photovoltaic panel.

[0056] The specific analysis process of the power data analysis module is as follows: The first step is to read the power P of each photovoltaic panel respectively. i , Power generation E i , substituting it into the formula The power generation efficiency evaluation coefficient ψ of the photovoltaic panel is obtained, where φ3 and φ4 represent the weight factors of the set power and power generation respectively, and n represents the number of photovoltaic panels; continuously evaluating the power generation efficiency of the photovoltaic panels is helpful to discover potential problems in the system and optimize them in time, improve the overall performance of the photovoltaic panel system, extend the system life, reduce maintenance costs, and improve the reliability and stability of the system.

[0057] It should be noted that in a specific embodiment, φ3 can be set to 0.5, φ4 can be set to 0.5, power is the amount of electricity generated by the photovoltaic panel, and is one of the important indicators for evaluating the power generation efficiency of the photovoltaic panel. Power generation refers to the total amount of electricity actually generated by the photovoltaic panel per unit time, and is an important indicator for evaluating the overall power generation efficiency of the photovoltaic panel. Therefore, the weights corresponding to power and power generation are equal.

[0058] The second step is to compare the power generation efficiency evaluation coefficient of the photovoltaic panel with the preset power generation efficiency evaluation coefficient threshold. If the power generation efficiency evaluation coefficient of the photovoltaic panel is greater than or equal to the preset power generation efficiency evaluation coefficient threshold, it means that the power generation efficiency of the photovoltaic panel is qualified. If the power generation efficiency evaluation coefficient of the photovoltaic panel is less than the preset power generation efficiency evaluation coefficient threshold, it means that the power generation efficiency of the photovoltaic panel is unqualified, and it is recorded as an unqualified photovoltaic panel and feedback is given to the system. This helps operation and maintenance personnel to quickly discover problematic photovoltaic panels and take corresponding measures to repair or replace them, thereby ensuring the overall power generation efficiency of the system.

[0059] The power data adjustment module is used to adjust the power data of each photovoltaic panel according to the power generation efficiency evaluation coefficient of the photovoltaic panel.

[0060] The specific analysis method of the power data adjustment module is: read the voltage and current of each photovoltaic panel at each time point respectively, and select the voltage and current of each unqualified photovoltaic panel at each time point, which are recorded as V hm ,I hm , where h represents the number of the h-th unqualified photovoltaic panel, h=1,2,...,n, through the formula Get the average voltage of each unqualified photovoltaic panel q represents the number of time points, and the current of each unqualified photovoltaic panel at each time point is detected according to the method of analyzing the average voltage of each unqualified photovoltaic panel, and the average current of each unqualified photovoltaic panel is obtained, which is recorded as The preset power generation efficiency evaluation coefficient threshold corresponding to the standard voltage and current are extracted from the management database, recorded as V0 and I0, and substituted into the formula Get the voltage and current adjustment value ΔV of each unqualified photovoltaic panel h , ΔI h; It can help improve the operating efficiency of the system, detect problems in a timely manner, guide maintenance and optimization measures, and ultimately improve the overall performance and power generation efficiency of the photovoltaic panel system.

[0061] It should be noted that if the voltage adjustment value of an unqualified photovoltaic panel is a positive value, the voltage will be increased according to the voltage adjustment value of the unqualified photovoltaic panel; if the voltage adjustment value of an unqualified photovoltaic panel is a negative value, the voltage will be reduced according to the voltage adjustment value of the unqualified photovoltaic panel; if the current adjustment value of an unqualified photovoltaic panel is a positive value, the current will be increased according to the current adjustment value of the unqualified photovoltaic panel; if the current adjustment value of an unqualified photovoltaic panel is a negative value, the current will be reduced according to the current adjustment value of the unqualified photovoltaic panel.

[0062] The management database is used to store factory images of photovoltaic panels, standard contact areas between photovoltaic panels and their corresponding cables, temperatures corresponding to various chromaticity value ranges, and standard voltages and currents corresponding to preset power generation efficiency evaluation coefficient thresholds.

[0063] The present invention obtains the appearance evaluation coefficient of each photovoltaic panel through the appearance data analysis of each photovoltaic panel, and provides feedback, obtains the illumination uniformity of each photovoltaic panel through the illumination data analysis of each photovoltaic panel, thereby judging whether each photovoltaic panel is blocked by shadow, obtains the power generation efficiency evaluation coefficient of the photovoltaic panel through analysis, and then adjusts the power data of each photovoltaic panel, which helps to improve system efficiency, extend equipment life, and reduce maintenance costs, thereby achieving higher performance and reliability of the photovoltaic system.

[0064] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. A photovoltaic panel remote monitoring management and fault operation and maintenance integrated system, characterized in that: The system specifically includes the following modules: Appearance data detection module, used to detect the appearance data of each photovoltaic panel, including the degree of damage, degree of dirtiness, and degree of loose connection; The appearance data analysis module is used to obtain the appearance evaluation coefficient of each photovoltaic panel according to the appearance data of each photovoltaic panel and provide feedback; The light data detection module is used to detect the light data of each photovoltaic panel, and the light data includes light intensity and temperature uniformity; The illumination data analysis module is used to analyze the illumination data of each photovoltaic panel to obtain the illumination uniformity of each photovoltaic panel, so as to determine whether each photovoltaic panel is blocked by shadows; The power data detection module is used to detect the power data of each photovoltaic panel, including power and power generation; The power data analysis module is used to obtain the power generation efficiency evaluation coefficient of the photovoltaic panel according to the power data of each photovoltaic panel, and compare it with the preset power generation efficiency evaluation coefficient threshold to obtain the power generation efficiency of the photovoltaic panel; A power data adjustment module, used to adjust the power data of each photovoltaic panel according to the power generation efficiency evaluation coefficient of the photovoltaic panel; A management database is used to store factory images of photovoltaic panels, standard contact areas between photovoltaic panels and their corresponding cables, temperatures corresponding to various chromaticity value ranges, and standard voltages and currents corresponding to preset thresholds of power generation efficiency evaluation coefficients; The specific analysis process of the appearance data detection module is as follows: In the first step, the images of each photovoltaic panel are acquired through the camera, and the factory images of the photovoltaic panels are read from the management database. The edge contour detection technology is used to extract the edge contours of the photovoltaic panels in the images of each photovoltaic panel and the factory images of the photovoltaic panels, which are recorded as the edge contours of each photovoltaic panel and the standard edge contours of the photovoltaic panels. The edge contours of each photovoltaic panel are overlapped with the standard edge contours of the photovoltaic panels to obtain the overlapping length of the edge contours of each photovoltaic panel, which is recorded as ,in Indicates The number of photovoltaic panels, , substituting it into the formula Get the damage degree of each photovoltaic panel , Indicates the length of the set standard edge profile of the photovoltaic panel; In the second step, the images of each photovoltaic panel and the factory images of the photovoltaic panels are grayed out and the gray values ​​of each pixel point of each photovoltaic panel image and the factory images of the photovoltaic panels are detected, which are recorded as , Indicates The number of pixels, , through the formula Get the grayscale difference of each pixel of each photovoltaic panel image , compare it with the preset grayscale difference range, filter out all the pixels in each photovoltaic panel image whose grayscale difference is not in the preset grayscale difference range, and record its number as , through the formula Get the degree of dirtiness of each photovoltaic panel , Indicates the total number of pixels; The third step is to monitor the real-time images of the cables of each photovoltaic panel through the surveillance camera, and then obtain the connection images of each photovoltaic panel and its corresponding cable, which are recorded as the connection images of each photovoltaic panel cable. According to the connection images of each photovoltaic panel cable, the connection area between each photovoltaic panel and the cable is obtained. , and extract the allowable loose area corresponding to the photovoltaic panel and cable connection from the management database , and then analyze the degree of looseness of the connection of each photovoltaic panel , whose formula is , represents a natural constant, Indicates the number of photovoltaic panels; The specific analysis process of the appearance data analysis module is as follows: The first step is to read the damage degree of each photovoltaic panel , degree of dirtiness , connection looseness , substituting it into the formula Get the appearance evaluation coefficient of each photovoltaic panel ,in They represent the weight factors of the preset damage degree, dirtiness degree, and looseness degree of the connection, respectively. represents a natural constant; In the second step, the appearance evaluation coefficient of each photovoltaic panel is compared with the preset appearance evaluation coefficient threshold. If the appearance evaluation coefficient of a photovoltaic panel is greater than or equal to the preset appearance evaluation coefficient threshold, it means that the appearance evaluation of the photovoltaic panel is qualified. If the appearance evaluation coefficient of a photovoltaic panel is less than the preset appearance evaluation coefficient threshold, it means that the appearance evaluation of the photovoltaic panel is unqualified, and feedback is given to the system.

2. A photovoltaic panel remote monitoring management and fault operation and maintenance integrated system according to claim 1, characterized in that: The specific analysis process of the illumination data detection module is as follows: The first step is to divide the working time of the photovoltaic panel into several equal time periods, recorded as each time period, and use a light meter to detect the light intensity of each photovoltaic panel in each time period, recorded as ,in Indicates The number of the time period, , substituting it into the formula Get the light intensity of each photovoltaic panel , Indicates the number of time periods; In the second step, the heat of each photovoltaic panel is captured by infrared radiation imaging technology and converted into a thermal map of each photovoltaic panel. The thermal map of each photovoltaic panel is divided into several regions of equal area, recorded as each photovoltaic panel region, and several equally spaced measurement points are randomly selected to detect the chromaticity value of each measurement point in each region of each photovoltaic panel, recorded as ,in Indicates The number of the region, , Indicates The number of measurement points, , through the formula Get the average chromaticity value of each area of ​​each photovoltaic panel , Indicates the number of measurement points. At the same time, the corresponding temperature of each chromaticity value range is read from the management database. The average chromaticity value of each area of ​​each photovoltaic panel is compared with the corresponding temperature of each chromaticity value range. The corresponding temperature of the chromaticity value range to which the average chromaticity value of each area of ​​each photovoltaic panel belongs is obtained, which is recorded as the temperature of each area of ​​each photovoltaic panel. , the average temperature of each photovoltaic panel is obtained by taking the average temperature of each area of ​​each photovoltaic panel, which is recorded as , substituting it into the formula Get the temperature uniformity of each photovoltaic panel , Indicates the number of regions.

3. A photovoltaic panel remote monitoring management and fault operation and maintenance integrated system according to claim 2, characterized in that: The specific analysis process of the illumination data analysis module is as follows: The first step is to read the light intensity of each photovoltaic panel separately , Temperature uniformity of each photovoltaic panel , substituting it into the formula Get the uniformity of illumination of each photovoltaic panel ,in They represent the weight factors of the set light intensity and temperature uniformity respectively. Indicates the number of photovoltaic panels; In the second step, the illumination uniformity of each photovoltaic panel is compared with the preset illumination uniformity threshold. If the illumination uniformity of a photovoltaic panel is greater than or equal to the preset illumination uniformity threshold, it indicates that the illumination uniformity of the photovoltaic panel is qualified and is not blocked by shadows. If the illumination uniformity of a photovoltaic panel is less than the preset illumination uniformity threshold, it indicates that the illumination uniformity of the photovoltaic panel is unqualified and is blocked by shadows, and feedback is given to the system.

4. A photovoltaic panel remote monitoring management and fault operation and maintenance integrated system according to claim 1, characterized in that: The specific analysis method of the power data detection module is: According to the set time interval, select several time points at random, and use the voltmeter and ammeter to detect the voltage and current of each photovoltaic panel at each time point, and record it as the voltage of each photovoltaic panel at each time point , Current ,in Indicates The number of the time point, , through the formula Get the power of each photovoltaic panel , and read the light intensity of each photovoltaic panel at the same time , represents the number of time points, and substitutes it into the formula Get the power generation of each photovoltaic panel , Indicates the length of the set time interval. Indicates the proportionality constant between the set power and the generated power.

5. A photovoltaic panel remote monitoring management and fault operation and maintenance integrated system according to claim 4, characterized in that: The specific analysis process of the power data analysis module is as follows: The first step is to read the power of each photovoltaic panel separately , Power generation , substituting it into the formula Get the power generation efficiency evaluation coefficient of the photovoltaic panel ,in Respectively represent the weight factors of the set power and power generation, Indicates the number of photovoltaic panels; In the second step, the power generation efficiency evaluation coefficient of the photovoltaic panel is compared with the preset power generation efficiency evaluation coefficient threshold. If the power generation efficiency evaluation coefficient of the photovoltaic panel is greater than or equal to the preset power generation efficiency evaluation coefficient threshold, it means that the power generation efficiency of the photovoltaic panel is qualified. If the power generation efficiency evaluation coefficient of the photovoltaic panel is less than the preset power generation efficiency evaluation coefficient threshold, it means that the power generation efficiency of the photovoltaic panel is unqualified, and it is recorded as an unqualified photovoltaic panel and feedback is given to the system.

6. A photovoltaic panel remote monitoring management and fault operation and maintenance integrated system according to claim 5, characterized in that: The specific analysis method of the power data adjustment module is: Read the voltage and current of each photovoltaic panel at each time point respectively, and select the voltage and current of each unqualified photovoltaic panel at each time point, which are recorded as ,in Indicates The number of unqualified photovoltaic panels, , through the formula Get the average voltage of each unqualified photovoltaic panel , represents the number of time points, and the current of each unqualified photovoltaic panel at each time point is detected according to the method of analyzing the average voltage of each unqualified photovoltaic panel, and the average current of each unqualified photovoltaic panel is obtained, which is recorded as , and extract the preset power generation efficiency evaluation coefficient threshold corresponding to the standard voltage and current from the management database, recorded as , substituting it into the formula , Get the voltage and current adjustment values ​​of each unqualified photovoltaic panel .

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