Maintenance data processing method and system of photovoltaic cell panel

Abstract

The invention discloses a maintenance data processing method and system for a photovoltaic cell panel. The method comprises the following steps: acquiring a shot image of a photovoltaic power station; performing image segmentation on the shot image to obtain image data of each photovoltaic cell panel; image data and power operation data of each photovoltaic cell panel are obtained for defect analysis, and a defect analysis result is generated; storing the image data, the power operation data, the defect analysis result and the basic information of each photovoltaic cell panel in a database; the basic information comprises the serial number and factory information of each photovoltaic cell panel; in response to a query request of a user, the 3D model image of the photovoltaic power station and one or more of the image data, the power operation data and the basic information of each photovoltaic cell panel are displayed, and the health data of the whole life cycle of the photovoltaic cell panel are recorded, so that the defects of the photovoltaic cell panel are quickly identified, and the detection accuracy is improved. And the position of the defective photovoltaic cell panel is quickly positioned, and the operation and maintenance efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power station operation and maintenance, and in particular to a maintenance data processing method, system and storage medium for a photovoltaic panel. Background Art

[0002] When a large number of photovoltaic panels in a photovoltaic power station enter the maintenance and management stage, it is very difficult to manage the photovoltaic panels manually. Take a 100MW photovoltaic power station as an example. The number of photovoltaic panels reaches 200,000, but the photovoltaic operation and maintenance personnel are limited. It is difficult to effectively manage the photovoltaic panels manually, and the work efficiency is low, which affects the power generation and production safety of the power station.

[0003] In addition, the existing maintenance and management methods for photovoltaic panels generate a test image library by recording the test images of each photovoltaic panel. However, the full life cycle management of photovoltaic panels is only based on visible light and infrared photos, and the data dimension is single. The health data of photovoltaic panels recorded in this way is limited, the types of defects that can be identified are limited, the recognition accuracy is limited, and it is impossible to provide direct maintenance suggestions to power station operation and maintenance personnel. At the same time, only the GPS coordinates of the characteristic points of the photovoltaic panels are matched, and the operation and maintenance personnel cannot know the specific location of the photovoltaic panels, which hinders the troubleshooting work and reduces the maintenance and management efficiency of photovoltaic panels. Summary of the invention

[0004] The present invention provides a maintenance data processing method, system and storage medium for photovoltaic panels, which record the health data of photovoltaic panels throughout their life cycle, realize rapid identification of defects in photovoltaic panels, and quickly locate the positions of defective photovoltaic panels, thereby improving operation and maintenance efficiency.

[0005] The present invention provides a method for processing maintenance data of a photovoltaic panel, comprising:

[0006] Acquire a photographed image of a photovoltaic power station; the photovoltaic power station is divided into a plurality of square arrays, each of which includes a plurality of numbered photovoltaic panels; the photographed image is obtained by a drone inspecting and photographing each photovoltaic panel in each square array according to a 3D model of the photovoltaic power station; the 3D model of the photovoltaic power station is 3D modeled according to the positioning data of the photovoltaic power station, and the 3D model includes positioning information of each photovoltaic panel;

[0007] Performing image segmentation on the captured image to segment out first image data of each photovoltaic panel; acquiring power operation data of each photovoltaic panel in each of the square arrays, performing defect analysis based on the first image data and power operation data of each photovoltaic panel, and generating defect analysis results;

[0008] The first image data, power operation data, defect analysis results and basic information of each photovoltaic panel are stored in a database; the basic information includes: the serial number and factory information of each photovoltaic panel;

[0009] In response to a user's query request, the 3D model image of the photovoltaic power station and one or more of the first image data, power operation data and basic information of each photovoltaic panel are displayed.

[0010] Furthermore, before acquiring the captured image of the photovoltaic power station, the method further includes:

[0011] Collecting positioning data of each array of the photovoltaic power station; the positioning data includes positioning information of each photovoltaic panel; performing 3D visual modeling of the photovoltaic power station according to the positioning data, generating a 3D model and storing it in a database;

[0012] Each photovoltaic panel in each of the square arrays is encoded to generate a serial number for each photovoltaic panel; the serial number and factory information of each photovoltaic panel are used as basic information and stored in a database.

[0013] Furthermore, the acquiring of the photographed image of the photovoltaic power station is specifically:

[0014] In response to the upload operation of the captured images after the drone captures each photovoltaic panel in the photovoltaic power station at each waypoint, the captured images of the photovoltaic power station are obtained; the drone follows a preset inspection route, and the inspection route includes a number of waypoints; the preset inspection route is planned according to the 3D model of the photovoltaic power station; the captured images include: visible light photos, infrared photos and EL image photos.

[0015] Furthermore, the captured image is segmented to obtain first image data of each photovoltaic panel, specifically:

[0016] According to the positioning information of each photovoltaic panel, the position of each photovoltaic panel in the captured image is positioned, and the first image data of each photovoltaic panel is segmented from the captured image.

[0017] After the first image data of each photovoltaic cell panel is matched with the serial number of the photovoltaic cell panel, the data is stored in a database.

[0018] Furthermore, the obtaining of the power operation data of each photovoltaic panel in each of the arrays is specifically as follows:

[0019] The power operation data of the photovoltaic panels are collected by using data collection equipment and stored in a database; the power operation data includes dozens of data such as operating power, temperature, current and voltage.

[0020] Furthermore, the defect analysis is performed based on the first image data and the power operation data of each photovoltaic panel to generate a defect analysis result, specifically:

[0021] Using image recognition technology, identifying foreign matter information and temperature information in the first image data of each photovoltaic panel, performing preliminary defect analysis based on the foreign matter information and the temperature information, and generating a first analysis result;

[0022] Analyze the power operation data of each photovoltaic panel using big data technology, identify abnormal data, perform preliminary defect analysis based on the abnormal data, and generate a second analysis result;

[0023] Performing data cross-validation on the first analysis result and the second analysis result, determining photovoltaic panels with defects and corresponding defect types, and generating preliminary defect analysis results;

[0024] The photovoltaic panels determined to have defects in the preliminary defect analysis are used as photovoltaic panels to be confirmed, and the photovoltaic panels to be confirmed are re-inspected to generate re-inspection defect analysis results.

[0025] Furthermore, the photovoltaic panels to be confirmed are re-inspected to generate re-inspection defect analysis results, specifically:

[0026] The photovoltaic panels with defects determined in the preliminary defect analysis are taken as photovoltaic panels to be confirmed. According to the serial numbers of the photovoltaic panels to be confirmed, the photovoltaic panels to be confirmed are photographed separately by using drones to obtain second image data of the photovoltaic panels to be confirmed. The second image data and power operation data of the photovoltaic panels to be confirmed are re-inspected for defect analysis to generate re-inspection defect analysis results.

[0027] Furthermore, after re-inspecting the photovoltaic panels to be confirmed and generating re-inspection defect analysis results, the method further includes:

[0028] If the re-inspection defect analysis result of the photovoltaic panel to be confirmed is defective, a task is issued to the drone to regularly take separate photos of the photovoltaic panel to be confirmed within a preset time period to obtain third image data of the photovoltaic panel to be confirmed for re-inspection defect analysis, and generate regular re-inspection defect analysis results.

[0029] Furthermore, it also includes:

[0030] If a photovoltaic panel at any location is replaced, the historical data of the photovoltaic panel before the replacement is transferred to the repository, and the basic information of the photovoltaic panel after the replacement is obtained and stored in the database;

[0031] The historical data includes: all first image data, power operation data, defect analysis results and basic information of the photovoltaic panel before replacement.

[0032] As a preferred solution, the present invention collects and stores the two most important types of data in the health management of photovoltaic panels: image data of photovoltaic panels and power operation data. The image data includes: traditional visible light and infrared images, and EL images are added. EL images are identified and defect analyzed to identify defects such as hidden cracks and sintering defects of photovoltaic panels, and quickly feedback the defects of photovoltaic panels. The power operation data reflects the operating status of photovoltaic panels. The abnormal operating status of photovoltaic panels can be fed back through abnormal power operation data, thereby improving the maintenance efficiency of photovoltaic panel health management. At the same time, the present invention corresponds the numbering of photovoltaic panels in photovoltaic power stations with the numbering of photovoltaic panels in power station operation and maintenance management, which is convenient for power station operation and maintenance personnel to quickly locate the position of defective photovoltaic panels and improve operation and maintenance efficiency.

[0033] Accordingly, the present invention also provides a maintenance data processing system for a photovoltaic panel, comprising: a power data acquisition module, a maintenance data management module, a drone module and a visualization management module;

[0034] The power data acquisition module includes several data acquisition devices, which are used to collect power operation data of photovoltaic panels and store them in a database; the power operation data includes dozens of data such as operating power, temperature, current and voltage;

[0035] The maintenance data management module has a built-in single-chip microcomputer and a database, and the maintenance data management module is used to store the first image data, power operation data, defect analysis results and basic information of each photovoltaic panel in the database; the basic information includes: the serial number and factory information of each photovoltaic panel; the maintenance data management module is used to obtain the captured image of the photovoltaic power station; perform image segmentation on the captured image to segment the first image data of each photovoltaic panel; obtain the power operation data of each photovoltaic panel in each square array, perform defect analysis according to the first image data and power operation data of each photovoltaic panel, and generate defect analysis results;

[0036] The drone module includes a plurality of multispectral camera drones, each of which has a built-in autonomous flight module, an image acquisition module, a data storage module and a flight algorithm processing module, and is used to inspect and photograph each photovoltaic panel in each array according to the 3D model of the photovoltaic power station, and upload the photographed images to the maintenance data management module; the 3D model of the photovoltaic power station is 3D modeled according to the positioning data of the photovoltaic power station, and the 3D model includes the positioning information of each photovoltaic panel;

[0037] The visualization management module includes a display unit, which is used to display the 3D model image of the photovoltaic power station and one or more of the first image data, power operation data and basic information of each photovoltaic panel in response to a user's query request.

[0038] Correspondingly, the present invention also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute a photovoltaic panel maintenance data processing method as described in the content of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a flow chart of an embodiment of a method for processing maintenance data of a photovoltaic panel provided by the present invention;

[0040] Figure 2 It is a structural schematic diagram of an embodiment of a photovoltaic panel maintenance data processing system provided by the present invention. DETAILED DESCRIPTION

[0041] 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.

[0042] Embodiment 1

[0043] Please refer to Figure 1 , a maintenance data processing method for a photovoltaic panel provided in an embodiment of the present invention is applied to a photovoltaic panel health management box, wherein the photovoltaic panel health management box is a server and also serves as a maintenance data management module of a maintenance data processing system for a photovoltaic panel.

[0044] The method comprises steps S101-S103:

[0045] Step S101: acquiring a photographed image of a photovoltaic power station; the photovoltaic power station is divided into a plurality of square arrays, each of which includes a plurality of numbered photovoltaic panels; the photographed image is obtained by a drone inspecting and photographing each photovoltaic panel in each square array according to a 3D model of the photovoltaic power station; the 3D model of the photovoltaic power station is 3D modeled according to the positioning data of the photovoltaic power station, and the 3D model includes positioning information of each photovoltaic panel;

[0046] Furthermore, before acquiring the captured image of the photovoltaic power station, the method further includes:

[0047] Collecting positioning data of each array of the photovoltaic power station; the positioning data includes positioning information of each photovoltaic panel; performing 3D visual modeling of the photovoltaic power station according to the positioning data, generating a 3D model and storing it in a database;

[0048] Each photovoltaic panel in each of the square arrays is encoded to generate a serial number for each photovoltaic panel; the serial number and factory information of each photovoltaic panel are used as basic information and stored in a database.

[0049] In this embodiment, one square array is one management unit, and the photovoltaic panel health management box manages the maintenance data of the photovoltaic panels in each square array based on the square array as a unit.

[0050] For example, assume that there are several arrays in a photovoltaic power station, including array A and array B, etc.; encode each photovoltaic panel in array A, generate a number for each photovoltaic panel: A000001, A000002, A000003..., and store the number of each photovoltaic panel in the database. At the same time, obtain the code of each photovoltaic panel in array A by the power station operation and maintenance: A01N01PV1N01, A01N01PV1N02, A01N01PV1N03..., match the two codes one by one, and match the factory information of each photovoltaic panel, including manufacturer, model, etc. as basic information, and store it in the database.

[0051] Furthermore, the acquiring of the photographed image of the photovoltaic power station is specifically:

[0052] In response to the upload operation of the captured images after the drone captures each photovoltaic panel in the photovoltaic power station at each waypoint, the captured images of the photovoltaic power station are obtained; the drone follows a preset inspection route, and the inspection route includes a number of waypoints; the preset inspection route is planned according to the 3D model of the photovoltaic power station; the captured images include: visible light photos, infrared photos and EL image photos.

[0053] In this embodiment, several drones in the drone module are used to inspect the photovoltaic power station according to the preset inspection route. For example, the drone inspection route of the array A is set, and the photovoltaic panels are photographed one by one. Each photograph maintains the standard of accommodating 20 photovoltaic panels horizontally, and obtains visible light, infrared and EL image photos of each photovoltaic panel. During the execution of the mission, if the drone is low on power, it will automatically return to the cabin to charge. After charging is completed, it will continue to shoot until the mission is completed and it will automatically return.

[0054] Step S102: performing image segmentation on the captured image to segment first image data of each photovoltaic panel; acquiring power operation data of each photovoltaic panel in each of the arrays, performing defect analysis based on the first image data and power operation data of each photovoltaic panel, and generating defect analysis results;

[0055] Furthermore, the captured image is segmented to obtain first image data of each photovoltaic panel, specifically:

[0056] According to the positioning information of each photovoltaic panel, the position of each photovoltaic panel in the captured image is positioned, and the first image data of each photovoltaic panel is segmented from the captured image.

[0057] After the first image data of each photovoltaic cell panel is matched with the serial number of the photovoltaic cell panel, the data is stored in a database.

[0058] In this embodiment, each photo of a photovoltaic cell panel is segmented to obtain a photo of each photovoltaic cell panel, and positioning technology is used to match each segmented photovoltaic cell panel with its serial number one by one and then store them in a database.

[0059] Furthermore, the obtaining of the power operation data of each photovoltaic panel in each of the arrays is specifically as follows:

[0060] The power operation data of the photovoltaic panels are collected by using data collection equipment and stored in a database; the power operation data includes dozens of data such as operating power, temperature, current and voltage.

[0061] In this embodiment, the data acquisition device in the power data acquisition module is used to acquire data such as the power W, temperature T, current I and voltage V of each photovoltaic panel and store them in the database.

[0062] Furthermore, the defect analysis is performed based on the first image data and the power operation data of each photovoltaic panel to generate a defect analysis result, specifically:

[0063] Using image recognition technology, identifying foreign matter information and temperature information in the first image data of each photovoltaic panel, performing preliminary defect analysis based on the foreign matter information and the temperature information, and generating a first analysis result;

[0064] Analyze the power operation data of each photovoltaic panel using big data technology, identify abnormal data, perform preliminary defect analysis based on the abnormal data, and generate a second analysis result;

[0065] Performing data cross-validation on the first analysis result and the second analysis result, determining photovoltaic panels with defects and corresponding defect types, and generating preliminary defect analysis results;

[0066] The photovoltaic panels determined to have defects in the preliminary defect analysis are used as photovoltaic panels to be confirmed, and the photovoltaic panels to be confirmed are re-inspected to generate re-inspection defect analysis results.

[0067] In this embodiment, the defects recognized by the image include: hot spots, cracks and damage, junction box failure, bird droppings, dust accumulation, tree shading, corrosion and hidden cracks, etc. Exemplarily, foreign objects are recognized through visible light image recognition, and hot spot defects are recognized by detecting temperature differences through infrared image recognition.

[0068] Big data technology is used to analyze the defects of photovoltaic panels by using the power data obtained by the data acquisition system. The identified defects include hot spots, dust accumulation, and tree shading, which will affect the power operation data such as current, voltage, and power generation. The power data analysis data is cross-validated with the image recognition analysis data.

[0069] Furthermore, the photovoltaic panels to be confirmed are re-inspected to generate re-inspection defect analysis results, specifically:

[0070] The photovoltaic panels determined to have defects in the preliminary defect analysis are taken as photovoltaic panels to be confirmed. According to the serial numbers of the photovoltaic panels to be confirmed, the photovoltaic panels to be confirmed are photographed separately by using a drone to obtain second image data of the photovoltaic panels to be confirmed. The second image data and power operation data of the photovoltaic panels to be confirmed are re-inspected for defect analysis to generate re-inspection defect analysis results.

[0071] Furthermore, after re-inspecting the photovoltaic panels to be confirmed and generating re-inspection defect analysis results, the method further includes:

[0072] If the re-inspection defect analysis result of the photovoltaic panel to be confirmed is defective, a task is issued to the drone to regularly take separate photos of the photovoltaic panel to be confirmed within a preset time period to obtain third image data of the photovoltaic panel to be confirmed for re-inspection defect analysis, and generate regular re-inspection defect analysis results.

[0073] In this embodiment, for photovoltaic panels with defects in preliminary inspection, such as photovoltaic panels numbered A000303, the drone automatically starts the re-inspection task, flies over A000303 alone, and takes a single photo for re-inspection. If the re-inspection defect analysis shows defects, the drone automatically starts the weekly check-in task, that is, regularly takes photos and re-inspects the defect analysis.

[0074] Step S103: storing the first image data, power operation data, defect analysis results and basic information of each photovoltaic panel in a database; the basic information includes: the serial number and factory information of each photovoltaic panel; in response to a user's query request, displaying the 3D model image of the photovoltaic power station and one or more of the first image data, power operation data and basic information of each photovoltaic panel.

[0075] Furthermore, it also includes:

[0076] If a photovoltaic panel at any location is replaced, the historical data of the photovoltaic panel before the replacement is transferred to the repository, and the basic information of the photovoltaic panel after the replacement is obtained and stored in the database;

[0077] The historical data includes: all first image data, power operation data, defect analysis results and basic information of the photovoltaic panel before replacement.

[0078] In this embodiment, if a photovoltaic panel is replaced at the same position, such as the position of the original photovoltaic panel A000099, the full life cycle health data of the original photovoltaic panel A000099 is transferred to the storage repository, and the replaced new photovoltaic panel A880001 obtains the position code and re-records it.

[0079] In this embodiment, a photovoltaic panel at any position in a photovoltaic power station is selected, including the replaced photovoltaic panels and the current photovoltaic panels at that position, and the historical information of the selected photovoltaic panels is displayed using the visualization management module. For example, the current photovoltaic panel is selected as A000603, and all historical detection images, operation data, positioning information, factory information and defect diagnosis of the photovoltaic panel can be viewed, so as to facilitate the power station to manage the photovoltaic panels throughout their life cycle, improve operation and maintenance efficiency, increase power generation income and reduce the cost per kilowatt-hour.

[0080] Implementing the embodiments of the present invention has the following effects:

[0081] The present invention collects and stores the two most important types of data in the health management of photovoltaic panels: image data of photovoltaic panels and power operation data. Image data includes: traditional visible light and infrared images, and EL images are added. EL images are identified and defect analyzed to identify defects such as hidden cracks and sintering defects of photovoltaic panels, and quickly feedback defects of photovoltaic panels. Power operation data reflects the operating status of photovoltaic panels. Abnormal power operation data can be used to feedback abnormal operating status of photovoltaic panels, thereby improving the maintenance efficiency of photovoltaic panel health management. At the same time, the present invention corresponds the numbering of photovoltaic panels in photovoltaic power stations with the numbering of photovoltaic panels in power station operation and maintenance management, which is convenient for power station operation and maintenance personnel to quickly locate the position of defective photovoltaic panels and improve operation and maintenance efficiency.

[0082] Embodiment 2

[0083] Please refer to Figure 2 , a photovoltaic panel maintenance data processing system provided by an embodiment of the present invention, comprising: a power data acquisition module 201, a drone module 202, a maintenance data management module 203 and a visualization management module 204;

[0084] The power data acquisition module includes several data acquisition devices, which are used to collect power operation data of photovoltaic panels and store them in a database; the power operation data includes dozens of data such as operating power, temperature, current and voltage;

[0085] The maintenance data management module has a built-in single-chip microcomputer and a database, and the maintenance data management module is used to store the first image data, power operation data, defect analysis results and basic information of each photovoltaic panel in the database; the basic information includes: the serial number and factory information of each photovoltaic panel; the maintenance data management module is used to obtain the captured image of the photovoltaic power station; perform image segmentation on the captured image to segment the first image data of each photovoltaic panel; obtain the power operation data of each photovoltaic panel in each square array, perform defect analysis according to the first image data and power operation data of each photovoltaic panel, and generate defect analysis results;

[0086] The drone module includes a plurality of multispectral camera drones, each of which has a built-in autonomous flight module, an image acquisition module, a data storage module and a flight algorithm processing module, and is used to inspect and photograph each photovoltaic panel in each array according to the 3D model of the photovoltaic power station, and upload the photographed images to the maintenance data management module; the 3D model of the photovoltaic power station is 3D modeled according to the positioning data of the photovoltaic power station, and the 3D model includes the positioning information of each photovoltaic panel;

[0087] The visualization management module includes a display unit, which is used to display the 3D model image of the photovoltaic power station and one or more of the first image data, power operation data and basic information of each photovoltaic panel in response to a user's query request.

[0088] The above-mentioned photovoltaic panel maintenance data processing system can implement the photovoltaic panel maintenance data processing method of the above-mentioned method embodiment. The options in the above-mentioned method embodiment are also applicable to this embodiment and will not be described in detail here. The rest of the contents of the embodiment of this application can refer to the contents of the above-mentioned method embodiment, and will not be repeated in this embodiment.

[0089] Embodiment 3

[0090] Correspondingly, the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the photovoltaic panel maintenance data processing method as described in any one of the above embodiments.

[0091] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the terminal device.

[0092] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0093] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0094] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the terminal device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile terminal, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0095] Wherein, if the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0096] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for processing maintenance data of a photovoltaic panel, characterized in that: include: Acquire a photographed image of a photovoltaic power station; the photovoltaic power station is divided into a plurality of square arrays, each of which includes a plurality of numbered photovoltaic panels; the photographed image is obtained by a drone inspecting and photographing each photovoltaic panel in each square array according to a 3D model of the photovoltaic power station; the 3D model of the photovoltaic power station is 3D modeled according to the positioning data of the photovoltaic power station, and the 3D model includes positioning information of each photovoltaic panel; Performing image segmentation on the captured image to segment out first image data of each photovoltaic panel; acquiring power operation data of each photovoltaic panel in each of the square arrays, performing defect analysis based on the first image data and power operation data of each photovoltaic panel, and generating defect analysis results; storing the first image data, power operation data, defect analysis results and basic information of each photovoltaic panel in a database; The basic information includes: the serial number and factory information of each photovoltaic panel; In response to a user's query request, the 3D model image of the photovoltaic power station and one or more of the first image data, power operation data and basic information of each photovoltaic panel are displayed.

2. A photovoltaic panel maintenance data processing method as claimed in claim 1, characterized in that: Before acquiring the captured image of the photovoltaic power station, the method further includes: Collecting positioning data of each array of the photovoltaic power station; the positioning data includes positioning information of each photovoltaic panel; performing 3D visual modeling of the photovoltaic power station according to the positioning data, generating a 3D model and storing it in a database; Each photovoltaic panel in each of the square arrays is encoded to generate a serial number for each photovoltaic panel; the serial number and factory information of each photovoltaic panel are used as basic information and stored in a database.

3. A photovoltaic panel maintenance data processing method as claimed in claim 1, characterized in that: The acquiring of the photographed image of the photovoltaic power station is specifically as follows: In response to the upload operation of the image taken by the drone after taking photos of each photovoltaic panel in the photovoltaic power station at each waypoint, the image taken by the drone of the photovoltaic power station is obtained; the drone follows a preset inspection route, the inspection route includes a number of waypoints; the preset inspection route is planned according to the 3D model of the photovoltaic power station; The captured images include: visible light photos, infrared photos and EL image photos.

4. A photovoltaic panel maintenance data processing method as claimed in claim 1, characterized in that: The captured image is segmented to obtain first image data of each photovoltaic panel, specifically: According to the positioning information of each photovoltaic panel, the position of each photovoltaic panel in the captured image is positioned, and the first image data of each photovoltaic panel is segmented from the captured image. After the first image data of each photovoltaic cell panel is matched with the serial number of the photovoltaic cell panel, the data is stored in a database.

5. A photovoltaic panel maintenance data processing method as claimed in claim 1, characterized in that: The obtaining of the power operation data of each photovoltaic panel in each of the arrays is specifically as follows: The power operation data of the photovoltaic panels are collected by using data collection equipment and stored in a database; the power operation data includes: operating power, temperature, current and voltage.

6. A photovoltaic panel maintenance data processing method as claimed in claim 1, characterized in that: The defect analysis is performed according to the first image data and the power operation data of each photovoltaic panel to generate a defect analysis result, specifically: Using image recognition technology, identifying foreign matter information and temperature information in the first image data of each photovoltaic panel, performing preliminary defect analysis based on the foreign matter information and the temperature information, and generating a first analysis result; Analyze the power operation data of each photovoltaic panel using big data technology, identify abnormal data, perform preliminary defect analysis based on the abnormal data, and generate a second analysis result; Performing data cross-validation on the first analysis result and the second analysis result, determining photovoltaic panels with defects and corresponding defect types, and generating preliminary defect analysis results; The photovoltaic panels determined to have defects in the preliminary defect analysis are used as photovoltaic panels to be confirmed, and the photovoltaic panels to be confirmed are re-inspected to generate re-inspection defect analysis results.

7. A method for processing maintenance data of a photovoltaic panel as claimed in claim 6, characterized in that: Re-inspect the photovoltaic panels to be confirmed and generate re-inspection defect analysis results, specifically: The photovoltaic panels determined to have defects in the preliminary defect analysis are taken as photovoltaic panels to be confirmed. According to the serial numbers of the photovoltaic panels to be confirmed, the photovoltaic panels to be confirmed are photographed separately by using a drone to obtain second image data of the photovoltaic panels to be confirmed. The second image data and power operation data of the photovoltaic panels to be confirmed are re-inspected for defect analysis to generate re-inspection defect analysis results.

8. A photovoltaic panel maintenance data processing method as claimed in claim 7, characterized in that: After re-inspecting the photovoltaic panels to be confirmed and generating re-inspection defect analysis results, the method further includes: If the re-inspection defect analysis result of the photovoltaic panel to be confirmed is defective, a task is issued to the drone to regularly take separate photos of the photovoltaic panel to be confirmed within a preset time period to obtain third image data of the photovoltaic panel to be confirmed for re-inspection defect analysis, and generate regular re-inspection defect analysis results.

9. A photovoltaic panel maintenance data processing method as claimed in claim 1, characterized in that: Also includes: If a photovoltaic panel at any location is replaced, the historical data of the photovoltaic panel before the replacement is transferred to the repository, and the basic information of the photovoltaic panel after the replacement is obtained and stored in the database; The historical data includes: all first image data, power operation data, defect analysis results and basic information of the photovoltaic panel before replacement.

10. A photovoltaic panel maintenance data processing system, characterized in that: include: Power data acquisition module, maintenance data management module, drone module and visualization management module; The power data acquisition module includes a plurality of data acquisition devices, and the plurality of data acquisition devices are used to collect power operation data of photovoltaic panels and store them in a database; The power operation data includes: operating power, temperature, current and voltage; The maintenance data management module has a built-in single-chip microcomputer and a database, and the maintenance data management module is used to store the first image data, power operation data, defect analysis results and basic information of each photovoltaic panel in the database; the basic information includes: the serial number and factory information of each photovoltaic panel; the maintenance data management module is used to obtain the captured image of the photovoltaic power station; perform image segmentation on the captured image to segment the first image data of each photovoltaic panel; obtain the power operation data of each photovoltaic panel in each square array, perform defect analysis according to the first image data and power operation data of each photovoltaic panel, and generate defect analysis results; The drone module includes a plurality of multispectral camera drones, each of which has a built-in autonomous flight module, an image acquisition module, a data storage module and a flight algorithm processing module, and is used to inspect and photograph each photovoltaic panel in each array according to the 3D model of the photovoltaic power station, and upload the photographed images to the maintenance data management module; the 3D model of the photovoltaic power station is 3D modeled according to the positioning data of the photovoltaic power station, and the 3D model includes the positioning information of each photovoltaic panel; The visualization management module includes a display unit, which is used to display the 3D model image of the photovoltaic power station and one or more of the first image data, power operation data and basic information of each photovoltaic panel in response to a user's query request.

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