Photovoltaic module safety performance detection method and system

Abstract

The invention provides a photovoltaic module safety performance detection method and system, and relates to the technical field of safety detection. Comprising the steps of obtaining first safety assessment based on a monitoring image of a photovoltaic module; based on the power supply demand of the photovoltaic module and the environmental factors, constructing test parameters for testing the photovoltaic module; testing the photovoltaic module based on the test parameters to obtain test data, and analyzing the test data to obtain second safety assessment; based on the first safety evaluation and the second safety evaluation, obtaining corresponding safety test evaluation; and obtaining the safety performance of the photovoltaic module based on the safety test evaluation and a historical evaluation database. Potential faults are found, the risk of accident occurrence is reduced, the personal and property safety of the photovoltaic module in the operation process is guaranteed, the system is adjusted and maintained in time, and therefore the overall power generation efficiency and economic benefits are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of safety detection, and in particular to a method and system for detecting the safety performance of a photovoltaic module. Background Art

[0002] At present, with the continuous development of science and technology, electricity has become an indispensable energy source for people's production and life. Clean and sustainable energy generation is more in line with social needs. Light energy is the most convenient clean energy. Photovoltaic modules may be affected by environmental factors, mechanical stress, etc. during long-term use, leading to safety hazards such as electric shock and fire.

[0003] Therefore, the present invention proposes a photovoltaic module safety performance detection method and system. Summary of the invention

[0004] The present invention provides a photovoltaic module safety performance detection method and system, which are used to obtain a first safety assessment by analyzing monitoring images of photovoltaic modules, and to construct test parameters for testing photovoltaic modules by analyzing power supply requirements and environmental factors of photovoltaic modules, and to test photovoltaic modules to obtain and analyze test data to obtain a second safety assessment; based on the first safety assessment and the second safety assessment, a corresponding safety test assessment is obtained, which is analyzed together with a historical assessment database to obtain the safety performance of the photovoltaic module, discover potential faults, reduce the risk of accidents, ensure the personal and property safety of the photovoltaic module during operation, and timely adjust and maintain the system, thereby improving the overall power generation efficiency and economic benefits.

[0005] In one aspect, the present invention provides a photovoltaic module safety performance detection method, comprising:

[0006] Step 1: Based on the monitoring image of the photovoltaic module, a first safety assessment is obtained;

[0007] Step 2: Based on the power supply requirements of the photovoltaic modules and environmental factors, construct test parameters for testing the photovoltaic modules;

[0008] Step 3: Test the photovoltaic module based on the test parameters, obtain and analyze the test data, and obtain a second safety assessment;

[0009] Step 4: Based on the first security assessment and the second security assessment, obtain a corresponding security test assessment;

[0010] Step 5: Based on the safety test evaluation and the historical evaluation database, the safety performance of the photovoltaic module is obtained.

[0011] On the other hand, based on the monitoring images of the PV panels, a first safety assessment is obtained, including:

[0012] Based on the monitoring images of photovoltaic modules, a set of abnormal images is obtained;

[0013] Based on the abnormal image set and the stain database, obtaining a matched first image;

[0014] Removing the first image from the abnormal image set to obtain a second image set;

[0015] Based on all the second images in the second image set, grayscale value conversion is performed to obtain a first grayscale image;

[0016] The first grayscale image is input into a damage recognition model to obtain a corresponding damage type.

[0017] On the other hand, based on the monitoring images of the photovoltaic modules, a first safety assessment is obtained, which also includes:

[0018] The stain type and stain area corresponding to the first image and the damage type and damage area corresponding to the first grayscale image are input into the hardware safety assessment model to obtain a first safety assessment.

[0019] On the other hand, based on the power supply requirements of photovoltaic modules and environmental factors, test parameters for testing photovoltaic modules are constructed, including:

[0020] Based on the environmental factors of photovoltaic modules, the extreme environmental factors that may occur in each season are obtained;

[0021] Based on the power supply demand of photovoltaic modules, the peak power consumption in each season and the corresponding duration are obtained;

[0022] Based on the peak power consumption and the extreme environmental factors, test parameters are obtained.

[0023] On the other hand, the photovoltaic modules are tested based on the test parameters, and the test data are obtained and analyzed to obtain a second safety assessment, including:

[0024] Based on the connection line between every two components in the array of photovoltaic components, the midpoint of the connection line is set as the key point;

[0025] Current sensors corresponding to the distribution of the key points;

[0026] Based on the array of photovoltaic modules and the key points, construct a module model of the photovoltaic modules;

[0027] Acquire the first energy of each working area in the test cycle, and obtain the first energy conversion rate of every two connected working areas;

[0028] Based on each first energy conversion rate and a corresponding preset energy conversion rate, obtaining a first difference;

[0029] If all the first difference values ​​are within the preset difference value, obtaining the current of the current sensor in the test cycle to obtain the key current at each key point;

[0030] Construct a first matrix based on the positions of key points for all key currents;

[0031] Constructing a second matrix based on the positions of key points of all preset resistors of the component model;

[0032] Expand the first matrix row by row to obtain a first vector corresponding to each row;

[0033] Expand the second matrix row by row to obtain a second vector corresponding to each row;

[0034] Based on the first vector and the second vector in the same row, the cosine similarity is obtained;

[0035] Input all cosine similarities into the similarity model to obtain the similarity between the first matrix and the second matrix;

[0036] If the similarity is less than a preset similarity, all key currents are input into the component model to obtain abnormal component parameters;

[0037] Based on the abnormal component parameters and the component model, construct an abnormal component model;

[0038] Based on the test parameters and the abnormal component model, obtaining test data;

[0039] Based on the test data input into the test data analysis model, a second safety assessment is obtained.

[0040] On the other hand, based on the safety test evaluation and the historical evaluation database, the safety performance of the photovoltaic module is obtained, including:

[0041] inputting the security test evaluation into a historical evaluation database, and updating the historical database;

[0042] Based on the updated historical database, the continued life index of the photovoltaic module is calculated;

[0043] Based on the continued life index, the corresponding safety performance is matched in the safety status comparison table.

[0044] On the other hand, based on the updated historical database, the continued life index of the photovoltaic module is calculated, including:

[0045] Where L represents the continued life index of the PV module; n represents the number of safety test evaluations in the historical evaluation database; a irepresents the safety index of the ith safety test evaluation in the historical evaluation database; d represents the preset qualified safety index; e i represents the number of PV modules with abnormalities in the i-th safety test evaluation in the historical evaluation database; r represents the number of all PV modules; μ i represents the safety weight corresponding to the safety index of the ith safety test evaluation in the historical evaluation database; δ represents the average safety index of all safety test evaluations in the historical evaluation database; σ represents the test coefficient of the safety test evaluation.

[0046] In another aspect, the present invention provides a photovoltaic module safety performance detection system, comprising:

[0047] The first assessment module: based on the monitoring image of the photovoltaic module, obtains a first safety assessment;

[0048] Test parameter acquisition module: constructs test parameters for testing photovoltaic modules based on the power supply requirements of photovoltaic modules and environmental factors;

[0049] The second evaluation module: tests the photovoltaic modules based on the test parameters, obtains and analyzes the test data, and obtains a second safety evaluation;

[0050] Comprehensive evaluation module: based on the first safety evaluation and the second safety evaluation, obtains a corresponding safety test evaluation;

[0051] Safety performance acquisition module: based on the safety test evaluation and the historical evaluation database, obtains the safety performance of the photovoltaic module.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] The present invention provides a photovoltaic module safety performance detection method and system, which are used to obtain a first safety assessment by analyzing monitoring images of photovoltaic modules, and to construct test parameters for testing photovoltaic modules by analyzing power supply requirements and environmental factors of photovoltaic modules, and to test photovoltaic modules to obtain and analyze test data to obtain a second safety assessment; based on the first safety assessment and the second safety assessment, a corresponding safety test assessment is obtained, which is analyzed together with a historical assessment database to obtain the safety performance of the photovoltaic module, discover potential faults, reduce the risk of accidents, ensure the personal and property safety of the photovoltaic module during operation, and timely adjust and maintain the system, thereby improving the overall power generation efficiency and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 It is a schematic diagram of a process of a photovoltaic module safety performance detection method provided by an embodiment of the present invention;

[0056] Figure 2 It is a structural schematic diagram of a photovoltaic module safety performance detection system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0058] Embodiment 1:

[0059] like Figure 1 As shown, a photovoltaic module safety performance detection method provided by an embodiment of the present invention includes:

[0060] Step 1: Based on the monitoring image of the photovoltaic module, a first safety assessment is obtained;

[0061] Step 2: Based on the power supply requirements of the photovoltaic modules and environmental factors, construct test parameters for testing the photovoltaic modules;

[0062] Step 3: Test the photovoltaic module based on the test parameters, obtain and analyze the test data, and obtain a second safety assessment;

[0063] Step 4: Based on the first security assessment and the second security assessment, obtain a corresponding security test assessment;

[0064] Step 5: Based on the safety test evaluation and the historical evaluation database, the safety performance of the photovoltaic module is obtained.

[0065] In this embodiment, the monitoring image refers to an image from a monitoring camera that monitors the photovoltaic assembly without blind spots.

[0066] In this embodiment, the first safety assessment refers to an assessment report including surface anomalies of photovoltaic modules obtained by analyzing monitoring images.

[0067] In this embodiment, the power supply demand refers to the power supply demand of the power station where the photovoltaic assembly is located, including the power variation of the power supply demand at different times of the day.

[0068] In this embodiment, environmental factors refer to factors in the environment where the photovoltaic modules are located that may affect the normal operation of the photovoltaic modules, such as changes in sunlight, strong winds, rain and snow, extreme weather, etc.

[0069] In this embodiment, the test parameters refer to parameters obtained by randomly combining the power supply demand of the photovoltaic module and environmental factors, which can detect the ability of the photovoltaic module to withstand high loads and extreme weather.

[0070] In this embodiment, the test data refers to the resistance and current of each photovoltaic module obtained after the photovoltaic module is tested using the test parameters.

[0071] In this embodiment, the second safety assessment refers to an abnormal assessment report of the photovoltaic assembly obtained by analyzing the test data.

[0072] In this embodiment, the safety test evaluation refers to an evaluation of the safety of the photovoltaic component obtained by analyzing the first safety evaluation and the second safety evaluation, including a safety index for the safety test evaluation, wherein the safety index refers to an index representing the safety performance of the photovoltaic component obtained by analyzing and calculating the first safety evaluation and the second safety evaluation.

[0073] In this embodiment, the historical evaluation database refers to a database containing safety test evaluation reports in historical tests.

[0074] In this embodiment, the safety performance refers to the sustainable and safe use time of the photovoltaic module and the ability to resist extreme situations.

[0075] The working principle and beneficial effects of the above technical solution are: by analyzing the monitoring images of photovoltaic modules, a first safety assessment is obtained, and by analyzing the power supply requirements and environmental factors of the photovoltaic modules, test parameters for testing the photovoltaic modules are constructed, and the photovoltaic modules are tested to obtain and analyze the test data to obtain a second safety assessment; based on the first safety assessment and the second safety assessment, a corresponding safety test assessment is obtained, which is analyzed together with a historical assessment database to obtain the safety performance of the photovoltaic modules, discover potential faults, reduce the risk of accidents, ensure the personal and property safety of the photovoltaic modules during operation, and adjust and maintain the system in a timely manner, thereby improving the overall power generation efficiency and economic benefits.

[0076] Embodiment 2:

[0077] On the basis of the above-mentioned embodiment 1, a first safety assessment is obtained based on the monitoring image of the photovoltaic assembly, including:

[0078] Based on the monitoring images of photovoltaic modules, a set of abnormal images is obtained;

[0079] Based on the abnormal image set and the stain database, obtaining a matched first image;

[0080] Removing the first image from the abnormal image set to obtain a second image set;

[0081] Based on all the second images in the second image set, grayscale value conversion is performed to obtain a first grayscale image;

[0082] The first grayscale image is input into a damage recognition model to obtain a corresponding damage type.

[0083] In this embodiment, the abnormal image set refers to a set of abnormal images captured from the surveillance images.

[0084] In this embodiment, the stain database refers to a database of stains on the photovoltaic module that will not affect the safety performance of the photovoltaic module, such as water stains and dust accumulation.

[0085] In this embodiment, the first image refers to an abnormal image in the abnormal image set that meets the characteristics of the stains in the stain database.

[0086] In this embodiment, the second image set refers to an image set obtained by removing the first image from the abnormal image set.

[0087] In this embodiment, the second image refers to an image in the second image set.

[0088] In this embodiment, the first grayscale image refers to an image of grayscale values ​​obtained by performing grayscale value conversion on the second image in the second image set.

[0089] In this embodiment, the damage recognition model refers to a model trained by grayscale images of damaged photovoltaic modules and corresponding damage types.

[0090] In this embodiment, the damage type refers to the type of damage to the photovoltaic module that can affect the safety performance of the photovoltaic module, such as: tree cracks, comprehensive cracks, oblique cracks, cracks parallel to the main grid line, perpendicular to the grid line and throughout the entire module, etc.

[0091] The working principle and beneficial effect of the above technical solution are: by analyzing the monitoring images of the photovoltaic modules, a first safety assessment is obtained, and the safety performance of the photovoltaic modules is comprehensively analyzed.

[0092] Embodiment 3:

[0093] On the basis of the above-mentioned embodiment 2, obtaining a first safety assessment based on the monitoring image of the photovoltaic assembly further includes:

[0094] The stain type and stain area corresponding to the first image and the damage type and damage area corresponding to the first grayscale image are input into the hardware safety assessment model to obtain a first safety assessment.

[0095] In this embodiment, the stain type refers to the type of stain matched by each first image in the stain database.

[0096] In this embodiment, the stain area refers to the area corresponding to each stain type.

[0097] In this embodiment, the damaged area refers to the area corresponding to each damage type.

[0098] In this embodiment, the hardware safety assessment model refers to a model obtained by training the safety performance of the surface of the photovoltaic module based on the stain type, stain area, and damage type and damage area corresponding to the first grayscale image.

[0099] The working principle and beneficial effect of the above technical solution are: by inputting the stain type and stain area corresponding to the first image and the damage type and damage area corresponding to the first grayscale image into the hardware safety assessment model, a first safety assessment is obtained, and the safety analysis of the appearance of the photovoltaic module is accurately performed, so as to more accurately detect the safety performance of the photovoltaic module.

[0100] Embodiment 4:

[0101] On the basis of the above-mentioned embodiment 1, based on the power supply requirements of the photovoltaic components and environmental factors, test parameters for testing the photovoltaic components are constructed, including:

[0102] Based on the environmental factors of photovoltaic modules, the extreme environmental factors that may occur in each season are obtained;

[0103] Based on the power supply demand of photovoltaic modules, the peak power consumption in each season and the corresponding duration are obtained;

[0104] Based on the peak power consumption and the extreme environmental factors, test parameters are obtained.

[0105] In this embodiment, the extreme environmental factors refer to the extreme weather that may occur in each season in the environmental factors of the photovoltaic components, such as extremely low temperature and strong radiation weather.

[0106] In this embodiment, the peak power consumption refers to the electric energy required for the highest peak value in the power supply demand.

[0107] In this embodiment, the duration refers to the duration of the daily peak power consumption.

[0108] The working principle and beneficial effect of the above technical solution are: by analyzing the power supply requirements and environmental factors of photovoltaic modules, test parameters for testing photovoltaic modules are constructed, which is conducive to accurate safety performance testing of photovoltaic modules.

[0109] Embodiment 5:

[0110] On the basis of the above-mentioned embodiment 1, the photovoltaic module is tested based on the test parameters, and the test data is obtained and analyzed to obtain a second safety assessment, including:

[0111] Based on the connection line between every two components in the array of photovoltaic components, the midpoint of the connection line is set as the key point;

[0112] Current sensors corresponding to the distribution of the key points;

[0113] Based on the array of photovoltaic modules and the key points, construct a module model of the photovoltaic modules;

[0114] Acquire the first energy of each working area in the test cycle, and obtain the first energy conversion rate of every two connected working areas;

[0115] Based on each first energy conversion rate and a corresponding preset energy conversion rate, obtaining a first difference;

[0116] If all the first difference values ​​are within the preset difference value, obtaining the current of the current sensor in the test cycle to obtain the key current at each key point;

[0117] Construct a first matrix based on the positions of key points for all key currents;

[0118] Constructing a second matrix based on the positions of key points of all preset resistors of the component model;

[0119] Expand the first matrix row by row to obtain a first vector corresponding to each row;

[0120] Expand the second matrix row by row to obtain a second vector corresponding to each row;

[0121] Based on the first vector and the second vector in the same row, the cosine similarity is obtained;

[0122] Input all cosine similarities into the similarity model to obtain the similarity between the first matrix and the second matrix;

[0123] If the similarity is less than a preset similarity, all key currents are input into the component model to obtain abnormal component parameters;

[0124] Based on the abnormal component parameters and the component model, construct an abnormal component model;

[0125] Based on the test parameters and the abnormal component model, obtaining test data;

[0126] Based on the test data input into the test data analysis model, a second safety assessment is obtained.

[0127] In this embodiment, the key point refers to the midpoint of the line connecting every two components in the array of photovoltaic components.

[0128] In this embodiment, the current sensor refers to a detection device that can convert the information of the measured current into an electrical signal or other forms of information output that meets certain standard requirements to meet the needs of information transmission, processing, storage, display, recording and control.

[0129] In this embodiment, the component model refers to a model obtained by training an array of photovoltaic components and corresponding key points, and can simulate the arrangement of photovoltaic components.

[0130] In this embodiment, the test cycle refers to a pre-set cycle for testing the safety performance of the photovoltaic module.

[0131] In this embodiment, the working area refers to the working area where the energy of the power station where the photovoltaic components are located is transmitted, including: photovoltaic component area, inverter area, combiner box area, AC distribution cabinet area, transformer area, and energy storage area.

[0132] In this embodiment, the first energy refers to the average energy transmitted to each working area during the test cycle.

[0133] In this embodiment, the first energy conversion rate refers to the ratio of the first energy of a subsequent working area to the first energy of a previous working area in the connected working areas.

[0134] In this embodiment, the preset energy conversion rate refers to the energy conversion rate of two connected working areas of the photovoltaic power station where the preset photovoltaic components are located under normal operation.

[0135] In this embodiment, the first difference refers to the difference between the first energy conversion rate corresponding to the same two connected working areas and the preset energy conversion rate.

[0136] In this embodiment, the preset difference refers to a reasonable first difference that is preset.

[0137] In this embodiment, the key current refers to the average current at each key point obtained by the current sensor during a test cycle.

[0138] In this embodiment, the first matrix refers to a matrix obtained by arranging all key currents according to the positions of key points.

[0139] In this embodiment, the preset resistance refers to the preset resistance at the connection point between every two photovoltaic modules.

[0140] In this embodiment, the second matrix refers to a matrix obtained by arranging all preset resistors according to the positions of key points.

[0141] In this embodiment, the first vector refers to a vector of each row obtained by analyzing and calculating the first matrix row by row.

[0142] In this embodiment, the second vector refers to a vector of each row obtained by analyzing and calculating the second matrix row by row.

[0143] In this embodiment, the cosine similarity refers to the cosine value of the angle between the first vector and the second vector, and is used to represent the similarity between two individuals.

[0144] In this embodiment, the similarity model refers to a model trained by the first vector and the second vector of each row and the similarity of the two matrices, and can analyze the similarity of the two vectors in each row of the two matrices to obtain a model of the similarity of the two matrices.

[0145] In this embodiment, the similarity degree refers to a numerical value output by the similarity model that indicates the similarity degree between the first matrix and the second matrix.

[0146] In this embodiment, the preset similarity level refers to a preset similarity level indicating that there is no abnormality in the photovoltaic assembly.

[0147] In this embodiment, the abnormal component parameters refer to the positions of components connected to abnormal key points in the photovoltaic component obtained by inputting all key currents into the component model, and the corresponding preset resistance and key current.

[0148] In this embodiment, the abnormal component model refers to a model constructed by the component at the position of the abnormal component parameter in the component model.

[0149] In this embodiment, the test data analysis model refers to a model obtained by training with test data and corresponding security assessments.

[0150] The working principle and beneficial effects of the above technical solution are: by removing the influence of abnormalities in other working areas of the photovoltaic power station where the photovoltaic modules are located, the performance of the photovoltaic modules is accurately analyzed, and by constructing a module model of the photovoltaic modules, the current passing through the photovoltaic modules is analyzed to obtain abnormal photovoltaic modules, and the photovoltaic modules are tested based on the test parameters to obtain and analyze the test data to obtain a second safety assessment, so as to adjust and maintain the system in time, thereby improving the overall power generation efficiency and economic benefits.

[0151] Embodiment 6:

[0152] On the basis of the above-mentioned embodiment 1, based on the safety test evaluation and the historical evaluation database, the safety performance of the photovoltaic module is obtained, including:

[0153] inputting the security test evaluation into a historical evaluation database, and updating the historical database;

[0154] Based on the updated historical database, the continued life index of the photovoltaic module is calculated;

[0155] Based on the continued life index, the corresponding safety performance is matched in the safety status comparison table.

[0156] In this embodiment, the continued life index refers to the life span during which the abnormal photovoltaic component can continue to be used normally without replacement, which is obtained by analyzing and calculating the first safety index and all historical safety indexes.

[0157] In this embodiment, the safety status comparison table refers to a comparison table that compares the continued life and the corresponding safety performance one by one.

[0158] The working principle and beneficial effects of the above technical solution are: by analyzing the safety test evaluation and the historical evaluation database, the safety performance of the photovoltaic modules is obtained, potential faults are discovered, the risk of accidents is reduced, the safety of the photovoltaic modules during operation is ensured, and the system is adjusted and maintained in time, thereby improving the overall power generation efficiency and economic benefits.

[0159] Embodiment 7:

[0160] On the basis of the above-mentioned embodiment 6, based on the updated historical database, the continued life index of the photovoltaic module is calculated, including:

[0161] Where L represents the continued life index of the PV module; n represents the number of safety test evaluations in the historical evaluation database; a i represents the safety index of the ith safety test evaluation in the historical evaluation database; d represents the preset qualified safety index; e irepresents the number of PV modules with abnormalities in the i-th safety test evaluation in the historical evaluation database; r represents the number of all PV modules; μ i represents the safety weight corresponding to the safety index of the ith safety test evaluation in the historical evaluation database; δ represents the average safety index of all safety test evaluations in the historical evaluation database; σ represents the test coefficient of the safety test evaluation.

[0162] In this embodiment, the safety index refers to an index representing the safety performance of the photovoltaic module.

[0163] In this embodiment, the safety weight refers to the importance of the safety index in all safety indexes.

[0164] In this embodiment, the test coefficient refers to a pre-set coefficient for easy calculation.

[0165] The working principle and beneficial effects of the above technical solution are: by analyzing the updated historical database, the continued life index of the photovoltaic module is calculated, and the life of the photovoltaic module for safe and normal operation is accurately calculated, which is conducive to accurate detection of the safety performance of the photovoltaic module.

[0166] Embodiment 8:

[0167] like Figure 2 As shown, the photovoltaic module safety performance detection system provided by the embodiment of the present invention includes:

[0168] The first assessment module: based on the monitoring image of the photovoltaic module, obtains a first safety assessment;

[0169] Test parameter acquisition module: constructs test parameters for testing photovoltaic modules based on the power supply requirements of photovoltaic modules and environmental factors;

[0170] The second evaluation module: tests the photovoltaic modules based on the test parameters, obtains and analyzes the test data, and obtains a second safety evaluation;

[0171] Comprehensive evaluation module: based on the first safety evaluation and the second safety evaluation, obtains a corresponding safety test evaluation;

[0172] Safety performance acquisition module: based on the safety test evaluation and the historical evaluation database, obtains the safety performance of the photovoltaic module.

[0173] The working principle and beneficial effects of the above technical solution are: by analyzing the monitoring images of photovoltaic modules, a first safety assessment is obtained, and by analyzing the power supply requirements and environmental factors of the photovoltaic modules, test parameters for testing the photovoltaic modules are constructed, and the photovoltaic modules are tested to obtain and analyze the test data to obtain a second safety assessment; based on the first safety assessment and the second safety assessment, a corresponding safety test assessment is obtained, which is analyzed together with a historical assessment database to obtain the safety performance of the photovoltaic modules, discover potential faults, reduce the risk of accidents, ensure the personal and property safety of the photovoltaic modules during operation, and adjust and maintain the system in a timely manner, thereby improving the overall power generation efficiency and economic benefits.

[0174] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A photovoltaic module safety performance detection method, characterized in that: include: Step 1: Based on the monitoring image of the photovoltaic module, a first safety assessment is obtained; Step 2: Based on the power supply requirements of the photovoltaic modules and environmental factors, construct test parameters for testing the photovoltaic modules; Step 3: Test the photovoltaic module based on the test parameters, obtain and analyze the test data, and obtain a second safety assessment; Step 4: Based on the first security assessment and the second security assessment, obtain a corresponding security test assessment; Step 5: Based on the safety test evaluation and the historical evaluation database, the safety performance of the photovoltaic module is obtained.

2. A photovoltaic module safety performance detection method according to claim 1, characterized in that: Based on the monitoring images of the PV panels, a first safety assessment is obtained, including: Based on the monitoring images of photovoltaic modules, a set of abnormal images is obtained; Based on the abnormal image set and the stain database, obtaining a matched first image; Removing the first image from the abnormal image set to obtain a second image set; Based on all the second images in the second image set, grayscale value conversion is performed to obtain a first grayscale image; The first grayscale image is input into a damage recognition model to obtain a corresponding damage type.

3. A photovoltaic module safety performance detection method according to claim 2, characterized in that: Based on the monitoring images of the PV panels, a first safety assessment is obtained, which also includes: The stain type and stain area corresponding to the first image and the damage type and damage area corresponding to the first grayscale image are input into the hardware safety assessment model to obtain a first safety assessment.

4. A photovoltaic module safety performance detection method according to claim 1, characterized in that: Based on the power supply requirements and environmental factors of photovoltaic modules, test parameters for testing photovoltaic modules are constructed, including: Based on the environmental factors of photovoltaic modules, the extreme environmental factors that may occur in each season are obtained; Based on the power supply demand of photovoltaic modules, the peak power consumption in each season and the corresponding duration are obtained; Based on the peak power consumption and the extreme environmental factors, test parameters are obtained.

5. A photovoltaic module safety performance detection method according to claim 1, characterized in that: The photovoltaic modules are tested based on the test parameters, and the test data are obtained and analyzed to obtain the second safety assessment, including: Based on the connection line between every two components in the array of photovoltaic components, the midpoint of the connection line is set as the key point; Current sensors corresponding to the distribution of the key points; Based on the array of photovoltaic modules and the key points, construct a module model of the photovoltaic modules; Acquire the first energy of each working area in the test cycle, and obtain the first energy conversion rate of every two connected working areas; Based on each first energy conversion rate and a corresponding preset energy conversion rate, obtaining a first difference; If all the first difference values ​​are within the preset difference value, obtaining the current of the current sensor in the test cycle to obtain the key current at each key point; Construct a first matrix based on the positions of key points for all key currents; Constructing a second matrix based on the positions of key points of all preset resistors of the component model; Expand the first matrix row by row to obtain a first vector corresponding to each row; Expand the second matrix row by row to obtain a second vector corresponding to each row; Based on the first vector and the second vector in the same row, the cosine similarity is obtained; Input all cosine similarities into the similarity model to obtain the similarity between the first matrix and the second matrix; If the similarity is less than a preset similarity, all key currents are input into the component model to obtain abnormal component parameters; Based on the abnormal component parameters and the component model, construct an abnormal component model; Based on the test parameters and the abnormal component model, obtaining test data; Based on the test data input into the test data analysis model, a second safety assessment is obtained.

6. A photovoltaic module safety performance detection method according to claim 1, characterized in that: Based on the safety test evaluation and the historical evaluation database, the safety performance of the photovoltaic module is obtained, including: inputting the security test evaluation into a historical evaluation database, and updating the historical database; Based on the updated historical database, the continued life index of the photovoltaic module is calculated; Based on the continued life index, the corresponding safety performance is matched in the safety status comparison table.

7. A photovoltaic module safety performance detection method according to claim 6, characterized in that: Based on the updated historical database, the continued life index of the photovoltaic module is calculated, including: Where L represents the continued life index of the PV module; n represents the number of safety test evaluations in the historical evaluation database; a i represents the safety index of the ith safety test evaluation in the historical evaluation database; d represents the preset qualified safety index; e i represents the number of PV modules with abnormalities in the i-th safety test evaluation in the historical evaluation database; r represents the number of all PV modules; μ i represents the safety weight corresponding to the safety index of the ith safety test evaluation in the historical evaluation database; δ represents the average safety index of all safety test evaluations in the historical evaluation database; σ represents the test coefficient of the safety test evaluation.

8. A photovoltaic module safety performance detection system, characterized in that: include: The first assessment module: based on the monitoring image of the photovoltaic module, obtains a first safety assessment; Test parameter acquisition module: constructs test parameters for testing photovoltaic modules based on the power supply requirements of photovoltaic modules and environmental factors; The second evaluation module: tests the photovoltaic modules based on the test parameters, obtains and analyzes the test data, and obtains a second safety evaluation; Comprehensive evaluation module: based on the first safety evaluation and the second safety evaluation, obtains a corresponding safety test evaluation; Safety performance acquisition module: based on the safety test evaluation and the historical evaluation database, obtains the safety performance of the photovoltaic module.

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