TOPCon photovoltaic panel management method and system applied to Sagomean region

Abstract

The invention relates to the related technical field of photovoltaic power generation, in particular to a TOPCon photovoltaic panel management method and system applied to a Saggob region. The method comprises the following steps: acquiring environment information of a TOPCon photovoltaic panel setting area; based on a preset camera shooting unit, collecting towards the photovoltaic panel to obtain image information of one side, facing the sunlight, of the TOPCon photovoltaic panel; estimating based on the image information and the environment information to obtain an estimated value of the generating capacity; collecting the actual value of the generating capacity of the TOPCon photovoltaic panel; and if the difference between the actual value and the estimated value is greater than a first preset value, overhauling the photovoltaic panel. According to the arrangement, the problem that the TOPCon photovoltaic panel applied to the Sagolian area is difficult to manage can be relieved to at least a certain extent.

Description

Technical Field

[0001] The present application relates to the technical field related to photovoltaic power generation, and specifically to a TOPCon photovoltaic panel management method and system applied to the Shagohuang area. Background Art

[0002] With the advancement of science and technology, TOPCon photovoltaic panels in desert areas are increasingly being used in these extreme environments. However, the geographical environment of these areas brings a series of challenges to the management of photovoltaic panels. Desert areas usually have extreme climatic conditions, such as high temperatures, sandstorms, droughts, etc. These conditions not only threaten the performance and life of photovoltaic panels, but also make daily management and maintenance work extremely difficult. Since these areas are usually far away from cities and population centers, transportation is inconvenient, making maintenance work more complicated and costly. Summary of the invention

[0003] In view of this, the embodiments of the present application are directed to providing a TOPCon photovoltaic panel management method and system applied to the Shagohuang area, so as to at least alleviate the problem of difficulty in managing TOPCon photovoltaic panels applied to the Shagohuang area to a certain extent.

[0004] The present application provides a TOPCon photovoltaic panel management method applied to the Shagohuang area, including: collecting environmental information of the area where the TOPCon photovoltaic panels are set;

[0005] Based on the preset camera unit, the image information of the TOPCon photovoltaic panel facing the sunlight is obtained.

[0006] Estimating based on the image information and the environmental information to obtain an estimated value of power generation;

[0007] Collect the actual value of power generation of TOPCon photovoltaic panels;

[0008] If the difference between the actual value and the estimated value is greater than a first preset value, the photovoltaic panel is repaired.

[0009] In some embodiments, the environmental information includes: light intensity, temperature, humidity and / or wind speed.

[0010] In some embodiments, estimating based on the image information and the environmental information to obtain an estimated value of power generation includes:

[0011] Based on the image information, determining the cleanliness level of the TOPCon photovoltaic panel;

[0012] An estimation is performed based on the cleanliness of the TOPCon photovoltaic panel and the environmental information to obtain an estimated value of power generation.

[0013] In some embodiments, determining the cleanliness of the TOPCon photovoltaic panel based on the image information includes:

[0014] Based on the metal grid lines on the TOPCon photovoltaic panel, the image information is divided to obtain a plurality of sub-images corresponding to the TOPCon photovoltaic panel area corresponding to each metal grid line;

[0015] For each sub-image, the cleanliness level of the corresponding TOPCon photovoltaic panel area is determined.

[0016] In some embodiments, the estimating based on the cleanliness of the TOPCon photovoltaic panel and the environmental information to obtain an estimated value of power generation includes:

[0017] For each TOPCon photovoltaic panel area, an estimation is performed based on the cleanliness level of the TOPCon photovoltaic panel area and the environmental information to obtain a regional estimated value of regional power generation;

[0018] The estimated value is obtained by adding up the estimated values ​​of each region.

[0019] In some embodiments, it also includes:

[0020] Collect the actual power of each metal grid line;

[0021] If the difference between the estimated value of the TOPCon photovoltaic panel area corresponding to the metal grid line and the actual power of the metal grid line is greater than the second preset value, it is determined that the TOPCon photovoltaic panel area corresponding to the metal grid line needs to be repaired.

[0022] In some embodiments, it also includes:

[0023] The intelligent cleaning machine is controlled to clean the TOPCon photovoltaic panel area whose cleanliness level is lower than the third preset value.

[0024] In some embodiments, the estimating based on the cleanliness of the TOPCon photovoltaic panel and the environmental information to obtain an estimated value of power generation includes:

[0025] The cleanliness level of the TOPCon photovoltaic panel and the environmental information are input into a preset deep learning model to obtain an estimated value of power generation.

[0026] In some embodiments, the training process of the deep learning model includes:

[0027] Collect data within a preset time after each maintenance as training samples;

[0028] Based on the training samples, a model pre-built based on a deep learning algorithm is trained to obtain a deep learning model.

[0029] The present application also provides a TOPCon photovoltaic panel management system applied to the Shagohuang area, including:

[0030] |The environmental information collection unit is set up in the TOPCon photovoltaic panel setting area to collect environmental information;

[0031] A camera unit is arranged toward the TOPCon photovoltaic panel to collect image information;

[0032] The environmental information acquisition unit, the camera unit and the processing unit of the TOPCon photovoltaic panel are respectively connected to execute the TOPCon photovoltaic panel management method applied to the Shagohuang area as mentioned above.

[0033] The TOPCon photovoltaic panel management method applied to the Shagohuang area of ​​the present application first collects environmental information of the area where the TOPCon photovoltaic panel is set; based on the preset camera unit, collects information toward the photovoltaic panel to obtain image information of the side of the TOPCon photovoltaic panel facing the sun; estimates based on the image information and the environmental information to obtain an estimated value of the power generation; collects the actual value of the power generation of the TOPCon photovoltaic panel; if the difference between the actual value and the estimated value is greater than the first preset value, the photovoltaic panel is repaired. In this way, the above scheme can be executed based on the preset equipment to manage the TOPCon photovoltaic panel, control the TOPCon photovoltaic panel, and determine whether it needs to be repaired. In this way, when maintenance is needed, personnel can be arranged to repair the equipment to avoid ineffective maintenance, reduce maintenance costs and make maintenance work simpler. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0035] Figure 1 It is a flow chart of a TOPCon photovoltaic panel management method applied to the Shagohuang area provided by an embodiment of the present application.

[0036] Figure 2 It is a structural diagram of a TOPCon photovoltaic panel management system applied to the Shagohuang area provided by an embodiment of the present application.

[0037] Figure 3It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0038] 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.

[0039] Exemplary Methods

[0040] Figure 1 FIG. 1 is a flow chart of a TOPCon photovoltaic panel management method applied to the desert region provided by an embodiment of the present application. Figure 1 As shown, the method includes the following contents.

[0041] Step S110, collecting environmental information of the area where the TOPCon photovoltaic panels are set;

[0042] Information collection is the basis of the entire management system, which involves collecting key environmental parameters that affect the performance of photovoltaic panels. The environmental information includes: light intensity, temperature, humidity and / or wind speed;

[0043] Specifically, light intensity is a key factor affecting the power generation of photovoltaic panels. The stronger the light, the greater the current generated by the photovoltaic panel and the more power it generates. Temperature has a significant impact on the efficiency of photovoltaic modules. Excessive temperature will cause the module power to drop. High temperature will affect the electronic properties of photovoltaic materials and reduce their efficiency. Humidity affects the insulation performance and corrosion of photovoltaic systems. In a high humidity environment, moisture will condense on the surface of the photovoltaic panel, affecting the insulation performance of the photovoltaic panel and also causing corrosion of metal parts. Wind speed data can be used to evaluate the wind resistance design requirements of photovoltaic brackets to ensure the safety and stability of power stations under severe weather conditions. When the wind speed is high, it will bring sand and dust, affecting the cleanliness of the photovoltaic panel, thereby indirectly affecting the power generation of the photovoltaic panel.

[0044] In summary, environmental factors such as light intensity, temperature, humidity and wind speed have direct or indirect effects on the performance and power generation of TOPCon photovoltaic panels. Reasonable environmental information monitoring and corresponding maintenance measures are essential to ensure the efficient operation of photovoltaic panels.

[0045] Step S120, based on a preset camera unit, collect data toward the photovoltaic panel to obtain image information of the side of the TOPCon photovoltaic panel facing the sunlight;

[0046] Specifically, the camera unit performs a visual inspection on the surface of the photovoltaic panel to obtain image information. The specific operation is as follows:

[0047] Camera unit settings: Camera units are preset in the photovoltaic panel array, and these units can be fixed or movable.

[0048] Image acquisition: The camera unit is directed toward the photovoltaic panel, especially toward the sunlight side, to capture images of the photovoltaic panel surface.

[0049] Image processing: Preprocess the collected images, such as denoising and contrast enhancement, to better analyze the cleanliness of the photovoltaic panels.

[0050] Step S130, performing estimation based on the image information and the environmental information to obtain an estimated value of power generation;

[0051] In practical applications, mathematical models, physical models or machine learning models can be used to combine the above information to predict the theoretical power generation of photovoltaic panels.

[0052] Step S140, collecting the actual value of the power generation of the TOPCon photovoltaic panel;

[0053] Specifically, an electric energy meter or smart meter can be used to monitor and record the power generation of the photovoltaic panel in real time; or the power generation can be directly searched and obtained in real time from the system corresponding to the TOPCon photovoltaic panel.

[0054] Step S150: If the difference between the actual value and the estimated value is greater than a first preset value, the photovoltaic panel is repaired.

[0055] This step is the decision-making and execution link of the management system, comparing the actual power generation obtained in step S140 with the estimated power generation in step S130. If the difference between the actual power generation and the estimated power generation exceeds the preset threshold (the first preset value), it is considered that there may be a problem with the photovoltaic panel. The maintenance process is automatically triggered, such as dispatching maintenance personnel or automatic robots to inspect and repair the photovoltaic panel. Solve the problem of the photovoltaic panel through maintenance to restore or improve its power generation efficiency.

[0056] These steps together form a closed-loop management system that improves the operation and maintenance efficiency of photovoltaic panels through automation and intelligent means.

[0057] Furthermore, an estimation is performed based on the image information and the environmental information to obtain an estimated value of power generation, including: determining the cleanliness of the TOPCon photovoltaic panel based on the image information; and estimating based on the cleanliness of the TOPCon photovoltaic panel and the environmental information to obtain an estimated value of power generation.

[0058] Specifically, the image information collected by the camera unit can be used to visually analyze the condition of the photovoltaic panel surface. Image information can help identify dirt, obstructions or other contaminants on the photovoltaic panel, which are important factors affecting the power generation efficiency of the photovoltaic panel. Cleanliness can be assessed through image processing technology, such as analyzing the area between the metal grid lines of the photovoltaic panel to determine whether the photovoltaic panel needs to be cleaned. The cleanliness and environmental information of the photovoltaic panel are used to estimate the power generation. For example, if the cleanliness of the photovoltaic panel is low, the actual power generation may be lower than expected even if the light intensity is high. Conversely, if the photovoltaic panel is kept clean and the environmental conditions (such as temperature and light) are suitable, the power generation efficiency and power generation of the photovoltaic panel will be higher.

[0059] Specifically, determining the cleanliness of the TOPCon photovoltaic panel based on the image information includes: dividing the image information based on the metal grid lines on the TOPCon photovoltaic panel; obtaining multiple sub-images corresponding to the TOPCon photovoltaic panel area corresponding to each metal grid line; and determining the cleanliness of the corresponding TOPCon photovoltaic panel area for each sub-image.

[0060] It should be noted that the metal grid lines on the TOPCon photovoltaic panel are the key structures on the cell for collecting current. Through image processing technology, the collected photovoltaic panel images can be divided according to the metal grid lines. Using image processing software or algorithms, the metal grid lines in the image are identified, and the photovoltaic panel image is divided into multiple areas based on this boundary, each area corresponding to the part covered by a metal grid line. Through the above division, multiple sub-images corresponding to the photovoltaic panel area corresponding to each metal grid line can be obtained. These sub-images will be used for subsequent cleanliness assessments because each sub-image represents a specific area of ​​the photovoltaic panel. For each sub-image, image analysis technology is used to assess the cleanliness of the corresponding TOPCon photovoltaic panel area.

[0061] The assessment includes identifying the presence and distribution of dirt, deposits, obstructions or other contaminants. This can be done by analyzing features such as color, brightness, contrast, etc. in the image. The cleanliness is assessed based on factors such as the percentage of the area covered by dirt, the type of dirt and the uniformity of its distribution.

[0062] In some embodiments, the estimation based on the cleanliness of the TOPCon photovoltaic panel and the environmental information is performed to obtain an estimated value of the power generation, including: for each TOPCon photovoltaic panel area, an estimation is performed based on the cleanliness of the TOPCon photovoltaic panel area and the environmental information to obtain a regional estimated value of the regional power generation; and the estimated value of each area is accumulated to obtain an estimated value.

[0063] Through the above steps, the power generation of each area can be estimated based on the cleanliness and environmental information of the TOPCon photovoltaic panels, and these estimated values ​​can be accumulated to obtain the estimated power generation of the entire system. This method can help photovoltaic power station managers better predict and optimize power generation and improve the operating efficiency and economic benefits of the power station.

[0064] Furthermore, the estimation based on the cleanliness of the TOPCon photovoltaic panel and the environmental information to obtain the estimated value of the power generation includes: inputting the cleanliness of the TOPCon photovoltaic panel and the environmental information into a preset deep learning model to obtain the estimated value of the power generation. Collecting data within a preset time after each maintenance as a training sample; based on the training sample, training a model pre-built based on a deep learning algorithm to obtain a deep learning model.

[0065] The details are as follows: First, it is necessary to collect the cleanliness data and environmental information of the TOPCon photovoltaic panel, including light intensity, temperature, humidity and wind speed. These data can be obtained through sensors and camera units on the photovoltaic panel site. Then, the collected data is preprocessed, including image data segmentation, feature extraction and normalization of environmental information, so as to be input into the deep learning model. It should be emphasized that in order to ensure the accuracy of the model, it is necessary to collect data within a preset time after each maintenance, so as to ensure that the collected data is the data of the TOPCon photovoltaic panel in normal state.

[0066] The collected data, especially the data within the preset time after each maintenance, are used as training samples. These samples contain the actual power generation of the photovoltaic panels and related environmental parameters. The pre-built model is trained using deep learning algorithms, such as convolutional neural networks (CNN), long short-term memory networks (LSTM) or other models suitable for processing such data. During the training process, the model learns the relationship between the cleanliness of the photovoltaic panels and the impact of environmental information on power generation.

[0067] Thus, after training is completed, the pre-processed TOPCon PV panel cleanliness data and real-time environmental information can be input into the trained deep learning model. Based on the input data, the model outputs an estimated power generation value for each PV panel area, which is based on the patterns and relationships learned by the model from the training data.

[0068] Over time, new data is continuously collected and the model is optimized to improve the accuracy of power generation estimates. This can be achieved through online learning or regular retraining of the model. The application of deep learning models can not only improve the accuracy of power generation forecasts, but also help optimize the operation and maintenance strategies of photovoltaic power plants and improve overall efficiency.

[0069] In some embodiments, the actual power of each metal grid line can also be collected; if the difference between the regional estimated value of the TOPCon photovoltaic panel area corresponding to the metal grid line and the actual power of the metal grid line is greater than a second preset value; it is determined that the TOPCon photovoltaic panel area corresponding to the metal grid line needs to be inspected.

[0070] Specifically, in order to accurately measure the actual amount of electricity of each metal grid line, a high-precision electrical performance testing device can be used. Through this test, the actual current and voltage data of each metal grid line can be obtained, which reflect the performance of the photovoltaic panel in actual operation. According to the estimated value of the regional power generation obtained based on the cleanliness of the photovoltaic panel and the environmental information in the previous step, it is compared with the actual amount of electricity of each metal grid line. This comparison can be achieved through a data analysis module. If the difference between the regional estimated value of the photovoltaic panel area corresponding to the metal grid line and the actual amount of electricity of the metal grid line is greater than a second preset value, it can be determined that the photovoltaic panel area corresponding to the metal grid line needs to be repaired. This second preset value is a threshold value used to determine whether the difference between the actual power generation and the expected power generation is large enough to require maintenance or repair. This threshold value can be set based on the historical performance data of the photovoltaic panel, changes in environmental conditions and other relevant factors.

[0071] In some embodiments, the intelligent cleaning machine can also be controlled to clean the TOPCon photovoltaic panel area whose cleanliness level is lower than a third preset value.

[0072] Compared with traditional manual cleaning methods, intelligent cleaning machines have the advantages of improving cleaning efficiency, shortening cleaning time, and thus improving the power generation efficiency of photovoltaic power stations. They can avoid possible safety accidents during manual cleaning and ensure the personal safety of workers. At the same time, they have the advantages of high reliability, long life, and low maintenance cost. Intelligent cleaning machines use sensors and computer vision technology to identify stains and dust on the surface of photovoltaic panels, and then use cleaning devices to automatically clean them. During the cleaning process, they can automatically avoid obstacles between photovoltaic panels to avoid damage to photovoltaic panels. The intelligent control system equipped with intelligent cleaning machines can realize remote control and real-time monitoring, which is convenient for managers of photovoltaic power stations to monitor and manage the cleaning process. For example, the design of the control system of a micro multi-legged photovoltaic mobile cleaning robot based on Python uses a Raspberry Pi microcontroller as the controller center module, supplemented by an ultrasonic sensor module, a power module, a communication module, and a drive motor module to realize the cleaning of photovoltaic solar panels. When performing cleaning tasks, the intelligent cleaning machine can accurately locate the position of each photovoltaic panel through an advanced navigation system and adjust the cleaning strategy according to the pollution situation. They are equipped with a variety of cleaning tools such as brushes and water spray systems to ensure that every corner of the photovoltaic panel surface can be thoroughly cleaned. After actual testing in many large photovoltaic power stations at home and abroad, the intelligent cleaning machines have greatly improved the power conversion efficiency by 7% to 15%.

[0073] Exemplary Systems

[0074] The system embodiment of the present application can be used to execute the method embodiment of the present application. For details not disclosed in the system embodiment of the present application, please refer to the method embodiment of the present application.

[0075] Figure 2 1 is a schematic diagram of the structure of a TOPCon photovoltaic panel management system applied to the desert area provided by an embodiment of the present application. Figure 2 TOPCon photovoltaic panel management system applied in the Shago desert area includes:

[0076] An environmental information collection unit 1 provided in the TOPCon photovoltaic panel setting area is used to collect environmental information;

[0077] A camera unit 2 arranged toward the TOPCon photovoltaic panel, for collecting image information;

[0078] The processing unit 3 connected to the environmental information acquisition unit, the camera unit and the TOPCon photovoltaic panel is used to execute the above-mentioned TOPCon photovoltaic panel management method applied to the Shagohuang area.

[0079] The environmental information acquisition unit is a key component in the photovoltaic power plant monitoring system. It is responsible for collecting various environmental parameters to evaluate and optimize the performance of the photovoltaic power plant. The environmental information acquisition unit usually includes the following equipment:

[0080] Meteorological sensors: used to measure environmental parameters such as temperature, humidity, wind speed, wind direction and air pressure. These data help to evaluate the impact of meteorological conditions on photovoltaic systems.

[0081] Light sensor: used to measure the intensity of solar radiation or light intensity, usually using photovoltaic sensors or photoelectric sensors. This is essential for calculating the actual power generation capacity of photovoltaic panels.

[0082] Pollution monitoring equipment: used to detect dust, pollutants, etc. in the air that affect the cleanliness of the photovoltaic panels. This helps to assess the cleanliness of the photovoltaic panel surface.

[0083] Data acquisition and processing unit:

[0084] Responsible for receiving and processing sensor data and transmitting it to the data center or user terminal. The processing unit analyzes the data in real time and generates a visual report.

[0085] Radiation sensors: including global radiation (GHI), solar module oblique radiation (POA), solar panel temperature, dust pollution level, etc.

[0086] Wind Speed ​​Sensor: Used to measure wind speed, essential for assessing wind impact on PV panels and possible structural loads.

[0087] Wind direction sensor: used to measure wind direction, which is very important for the layout and orientation of photovoltaic panels to maximize the reception of solar radiation.

[0088] Temperature sensor: used to measure the ambient temperature, which is helpful for predicting the actual temperature change of photovoltaic panels and optimizing the design of cooling systems.

[0089] Humidity sensor: used to measure air humidity. High humidity may cause condensation or frost on the surface of the photovoltaic panel, affecting the light transmittance of the photovoltaic panel.

[0090] Precipitation sensor: used to measure precipitation type, precipitation amount, and precipitation intensity, which is important for evaluating the impact of precipitation on the operation of photovoltaic systems.

[0091] Module Surface Temperature Sensor: Used to measure the surface temperature of PV modules, which is critical for evaluating the thermal performance of PV panels and possible overheating issues.

[0092] These devices are usually assembled together, installed on-site at the photovoltaic power station, and powered by solar panels and batteries. Through these sensors and monitoring devices, the environmental information collection unit can provide real-time and accurate data to help the operation and maintenance personnel of the photovoltaic power station make reasonable operation adjustments and maintenance decisions.

[0093] Exemplary Electronic Devices

[0094] Below, reference Figure 3 To describe an electronic device according to an embodiment of the present application. Figure 3 A block diagram of an electronic device according to an embodiment of the present application is illustrated.

[0095] like Figure 3 As shown, electronic device 300 includes one or more processors 310 and memory 320 .

[0096] The processor 310 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 300 to perform desired functions.

[0097] The memory 320 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 310 may run the program instructions to implement the TOPCon photovoltaic panel management method applied to the Shagohuang area of ​​the various embodiments of the present application described above and / or other desired functions. Various contents such as category correspondences may also be stored in the computer-readable storage medium.

[0098] In one example, the electronic device 300 may further include: an input device 330 and an output device 340 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0099] In addition, the input device 330 may also include, for example, a keyboard, a mouse, an interface, etc. The output device 340 may output various information to the outside, including analysis results, etc. The output device 340 may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

[0100] Of course, to simplify, Figure 3Only some of the components in the electronic device related to the present application are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, the electronic device may further include any other appropriate components according to specific application conditions.

[0101] Exemplary computer program products and computer-readable storage media

[0102] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the TOPCon photovoltaic panel management method applied to the Shagohuang area according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0103] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0104] In addition, an embodiment of the present application may also be a computer-readable storage medium having computer program instructions stored thereon, and when the computer program instructions are executed by a processor, the processor executes the steps of the TOPCon photovoltaic panel management method applied to the Shagohuang area according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0105] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0106] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A TOPCon photovoltaic panel management method applied to the desertified area, characterized in that: include: Collect environmental information of the area where TOPCon photovoltaic panels are set up; Based on the preset camera unit, the image information of the TOPCon photovoltaic panel facing the sunlight is obtained. Estimating based on the image information and the environmental information to obtain an estimated value of power generation; Collect the actual value of power generation of TOPCon photovoltaic panels; If the difference between the actual value and the estimated value is greater than a first preset value, the photovoltaic panel is repaired.

2. The TOPCon photovoltaic panel management method applied to the Shagohuang area according to claim 1 is characterized in that: The environmental information includes: light intensity, temperature, humidity and / or wind speed.

3. The TOPCon photovoltaic panel management method applied to the Shagohuang area according to claim 1 is characterized in that: Estimating based on the image information and the environmental information to obtain an estimated value of power generation includes: Based on the image information, determining the cleanliness level of the TOPCon photovoltaic panel; An estimation is performed based on the cleanliness of the TOPCon photovoltaic panel and the environmental information to obtain an estimated value of power generation.

4. The TOPCon photovoltaic panel management method applied to the Shagohuang area according to claim 3 is characterized in that: Determining the cleanliness of the TOPCon photovoltaic panel based on the image information includes: Based on the metal grid lines on the TOPCon photovoltaic panel, the image information is divided to obtain a plurality of sub-images corresponding to the TOPCon photovoltaic panel area corresponding to each metal grid line; For each sub-image, the cleanliness level of the corresponding TOPCon photovoltaic panel area is determined.

5. The TOPCon photovoltaic panel management method applied to the Shagohuang area according to claim 4 is characterized in that: The estimating based on the cleanliness of the TOPCon photovoltaic panel and the environmental information to obtain an estimated value of power generation includes: For each TOPCon photovoltaic panel area, an estimation is performed based on the cleanliness level of the TOPCon photovoltaic panel area and the environmental information to obtain a regional estimated value of regional power generation; The estimated value is obtained by adding up the estimated values ​​of each region.

6. The TOPCon photovoltaic panel management method applied to the Shagohuang area according to claim 5 is characterized in that: Also includes: Collect the actual power of each metal grid line; If the difference between the estimated value of the TOPCon photovoltaic panel area corresponding to the metal grid line and the actual power of the metal grid line is greater than the second preset value, it is determined that the TOPCon photovoltaic panel area corresponding to the metal grid line needs to be repaired.

7. The TOPCon photovoltaic panel management method applied to the Shagohuang area according to claim 4 is characterized in that: Also includes: The intelligent cleaning machine is controlled to clean the TOPCon photovoltaic panel area whose cleanliness level is lower than the third preset value.

8. The TOPCon photovoltaic panel management method applied to the Shagohuang area according to claim 3 is characterized in that: The estimating based on the cleanliness of the TOPCon photovoltaic panel and the environmental information to obtain an estimated value of power generation includes: The cleanliness level of the TOPCon photovoltaic panel and the environmental information are input into a preset deep learning model to obtain an estimated value of power generation.

9. The TOPCon photovoltaic panel management method applied to the Shagohuang area according to claim 8 is characterized in that: The training process of the deep learning model includes: Collect data within a preset time after each maintenance as training samples; Based on the training samples, a model pre-built based on a deep learning algorithm is trained to obtain a deep learning model.

10. A TOPCon photovoltaic panel management system applied to the desertified area, characterized in that: include: The environmental information collection unit installed in the TOPCon photovoltaic panel installation area is used to collect environmental information; A camera unit is arranged toward the TOPCon photovoltaic panel to collect image information; The processing unit connected to the environmental information acquisition unit, the camera unit and the TOPCon photovoltaic panel is used to execute the TOPCon photovoltaic panel management method applied to the Shagohuang area as described in any one of claims 1 to 9.

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