Photovoltaic module detection method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a photovoltaic module detection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: before a reliability test, obtaining respective initial light transmittance of each surface area of a to-be-tested surface bonded with an adhesive layer in the photovoltaic module; after the reliability test, performing light transmission detection on each surface area to obtain the respective test light transmittance of each surface area; for each surface area, determining the light transmittance difference between the initial light transmittance and the test light transmittance of the surface area; and determining an interface contact detection result between the adhesive layer and the to-be-detected surface or the battery piece based on the area position and the light transmittance difference of each surface area. By adopting the method, the detection accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic technology, and in particular to a photovoltaic module detection method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] With the development of photovoltaic technology, the importance of photovoltaic modules, as the core components of photovoltaic systems, has become increasingly prominent. During long-term outdoor use, the encapsulation materials of photovoltaic modules, such as glass, adhesive layers, and solar cells, are significantly affected by outdoor heat, humidity, and UV radiation. In particular, the interface between the adhesive layer and the glass and solar cells is difficult to accurately assess due to changes in humidity, heat, humidity, or UV radiation.

[0003] Traditionally, reliability testing of photovoltaic modules is used to ensure their stability. Peel force tests are performed on the modules before and after the reliability tests, and the reliability of the modules is determined based on the peeling force. However, as a macro-mechanical evaluation method, peel force testing has a large error range, making traditional testing of photovoltaic modules inaccurate. Summary of the Invention

[0004] Based on this, it is necessary to provide a photovoltaic module detection method, device, computer equipment, computer-readable storage medium and computer program product that can improve detection accuracy in response to the above technical problems.

[0005] In a first aspect, the present application provides a photovoltaic module detection method, comprising:

[0006] Before the reliability test, obtaining the initial light transmittance of each surface area of ​​the surface to be tested that is bonded to the adhesive layer in the photovoltaic module;

[0007] After the reliability test, performing light transmittance testing on each of the surface areas to obtain a test light transmittance of each of the surface areas;

[0008] For each of the surface regions, determining a light transmittance difference between an initial light transmittance of the surface region and a test light transmittance;

[0009] Based on the respective area positions and transmittance differences of the surface areas, the interface contact detection result between the adhesive layer and the surface to be tested or the battery cell is determined.

[0010] In one embodiment, determining the interface contact detection result between the adhesive layer and the surface to be tested or the battery cell based on the area position and transmittance difference of each of the surface areas includes:

[0011] When the transmittance difference of at least one of the surface regions satisfies a difference condition, determining that there is an interface contact abnormality between the surface to be tested and the adhesive layer;

[0012] determining the surface area where the transmittance difference satisfies the difference condition as an abnormal area;

[0013] Based on the area position and transmittance difference of each of the abnormal areas, the abnormal interface contact information between the adhesive layer and the surface to be tested or the battery cell is determined.

[0014] In one embodiment, the interface contact abnormality information includes the cause of the abnormality; and determining the interface contact abnormality information between the adhesive layer and the surface to be tested or the battery cell based on the respective regional positions and transmittance differences of the abnormal regions includes:

[0015] Based on the respective area positions of the abnormal areas, counting the abnormal proportions of the surface to be measured;

[0016] Based on the transmittance differences of the abnormal regions, calculating the data dispersion of the transmittance differences;

[0017] When the abnormal ratio is greater than or equal to a ratio threshold and the data discreteness is less than or equal to a discreteness threshold, it is determined that the cause of the abnormal interface contact between the glue layer and the surface to be tested or the battery cell is abnormal performance of the entire panel.

[0018] In one embodiment, the interface contact abnormality information includes an abnormality level; and determining the interface contact abnormality information between the adhesive layer and the surface to be tested or the battery cell based on the respective area positions and transmittance differences of the abnormal areas includes:

[0019] Based on the respective area positions of the abnormal areas, counting the abnormal proportions of the surface to be measured;

[0020] Determining a difference characteristic value of the photovoltaic module based on a difference in light transmittance of each of the abnormal regions;

[0021] Determine an abnormality level between the glue layer and the surface to be tested or the battery cell characterized by at least one of the abnormality ratio or the difference characteristic value; the abnormality level is positively correlated with the abnormality ratio, and the abnormality level is positively correlated with the difference characteristic value.

[0022] In one embodiment, the method further comprises:

[0023] Using detection lights of different wavelengths to perform light transmission detection on the photovoltaic module, and determining the light absorption efficiency of the photovoltaic module for each of the detection lights;

[0024] determining the detection light with the lowest light absorption efficiency as the target detection light;

[0025] The step of obtaining the initial light transmittance of each surface area of ​​the surface to be tested that is bonded to the adhesive layer in the photovoltaic module includes:

[0026] Under the irradiation of the target detection light, obtaining the initial light transmittance of each surface area of ​​the surface to be tested bonded to the adhesive layer in the photovoltaic module;

[0027] The light transmittance detection is performed on each of the surface areas to obtain the test light transmittance of each of the surface areas, including:

[0028] The target detection light is used to perform light transmittance detection on each of the surface areas to obtain a test light transmittance of each of the surface areas.

[0029] In one embodiment, the use of the target detection light to perform light transmittance detection on each of the surface areas to obtain a test light transmittance of each of the surface areas includes:

[0030] Expanding the target detection light to obtain multiple sub-detection lights that respectively illuminate each of the surface areas;

[0031] For each of the surface areas, light transmittance detection is performed on the surface area under the illumination of the sub-detection light corresponding to the surface area to obtain a test light transmittance of the surface area.

[0032] In a second aspect, the present application further provides a photovoltaic module detection device, comprising:

[0033] An initial light transmittance acquisition module is used to acquire the initial light transmittance of each surface area of ​​the photovoltaic module to be tested that is bonded to the adhesive layer before the reliability test;

[0034] a light transmittance detection module, configured to perform light transmittance detection on each of the surface areas after the reliability test to obtain a test light transmittance of each of the surface areas;

[0035] a light transmittance difference determining module, configured to determine, for each surface area, a light transmittance difference between an initial light transmittance of the surface area and a test light transmittance;

[0036] The detection result determination module is used to determine the interface contact detection result between the surface to be tested and the adhesive layer based on the area position and transmittance difference of each of the surface areas.

[0037] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above-described method when executed by a processor.

[0039] In a fifth aspect, the present application further provides a computer program product, which includes a computer program that implements the steps of the above method when executed by a processor.

[0040] The above-mentioned photovoltaic module detection method, device, computer equipment, computer-readable storage medium and computer program product obtain the initial light transmittance of each surface area of ​​the surface to be tested in the photovoltaic module that is bonded to the adhesive layer before the reliability test, so as to determine the initial light transmittance of the photovoltaic module under normal conditions, so as to facilitate subsequent comparison with the light transmittance after the test. After the reliability test, the light transmittance of each surface area is detected separately to obtain the test light transmittance of each surface area, so as to determine the light transmittance corresponding to each surface area of ​​the photovoltaic module after the reliability test. Then, for each surface area, the light transmittance difference between the initial light transmittance of the surface area and the test light transmittance is determined, and based on the area position and light transmittance difference of each surface area, the interface contact detection result between the adhesive layer and the surface to be tested or the battery cell is determined. Specifically, when light is incident through the surface area of ​​a photovoltaic module, if the interface contact between the adhesive layer of the photovoltaic module and the surface to be tested or the cell is poor, micron-level pores will be formed at the interface, and the porosity will increase, resulting in increased interface scattering, increased optical loss, and reduced transmittance. Therefore, changes in transmittance can be used to evaluate changes in interface contact and improve the accuracy of photovoltaic module detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 A diagram showing an application environment of a photovoltaic module detection method according to an embodiment;

[0043] Figure 2 1 is a schematic flow chart of a photovoltaic module detection method according to an embodiment;

[0044] Figure 3 is a structural diagram of a photovoltaic module in one embodiment;

[0045] Figure 4 Schematic diagram of light transmittance of a photovoltaic module before and after reliability testing in one embodiment;

[0046] Figure 5 A diagram showing changes in transmittance of a failed component under different wavelengths of detection light in one embodiment;

[0047] Figure 6 is a schematic flow chart of a photovoltaic module detection method according to another embodiment;

[0048] Figure 7 is a structural block diagram of a photovoltaic module detection device in one embodiment;

[0049] Figure 8 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0051] The photovoltaic module detection method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown, computer device 102 communicates with spectrometer 104 via a network. Computer device 102 can be a terminal or a server. Terminals include, but are not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart car devices, and projectors. Portable wearable devices can include smart watches, smart bracelets, and head-mounted devices. Head-mounted devices can include virtual reality (VR) devices, augmented reality (AR) devices, and smart glasses. The server can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services. Spectrometer 104 is an optical instrument that uses the absorption characteristics of a substance to detect light to analyze its molecular structure and chemical composition. It obtains molecular vibrational and rotational information by measuring the absorption, reflection, or transmission spectrum of a sample in the detection spectral region, which is used for qualitative and quantitative analysis. Specifically, during the process of photovoltaic module testing, the computer device 102 obtains the initial transmittance of each surface area of ​​the surface to be tested that is bonded to the adhesive layer in the photovoltaic module from the spectrometer 104 before the reliability test; after the reliability test, the spectrometer 104 performs transmittance testing on each surface area to obtain the test transmittance of each surface area; for each surface area, the transmittance difference between the initial transmittance and the test transmittance of the surface area is determined; based on the area position and transmittance difference of each surface area, the interface contact detection result between the adhesive layer and the surface to be tested or the battery cell is determined.

[0052] In an exemplary embodiment, Figure 2 As shown, a photovoltaic module detection method is provided, which is applied to Figure 1 Taking the computer device 102 in the example as an example, the method includes the following steps S202 to S206.

[0053] Step S202 : Before the reliability test, the initial light transmittance of each surface area of ​​the photovoltaic module that is bonded to the adhesive layer and is to be tested is obtained.

[0054] Among them, reliability testing refers to a series of tests on products or systems under specified time and conditions to evaluate their ability to maintain stable performance and normal functions during long-term use, detect whether they will fail or have performance degradation, and ensure that the products or systems can meet the expected service life and quality requirements. In the field of photovoltaic modules, reliability testing is aimed at examining the performance of photovoltaic modules under various environmental conditions (such as high temperature, low temperature, humidity, ultraviolet radiation, etc.). Photovoltaic modules, also known as solar cell modules, are power generation units composed of multiple solar cells through a specific packaging process (such as the use of adhesive layers, glass, backboards and other materials). It can convert solar energy into electrical energy and is the core component of a solar photovoltaic power generation system. Such as Figure 3 As shown, in this embodiment, the photovoltaic module packaging structure includes front glass, front film, solar cells, back film, and back glass. Both the front glass and back glass can serve as the test surface, and both the front film and back film can serve as the adhesive layer. The specific settings are subject to actual conditions.

[0055] In photovoltaic modules, the adhesive layer mainly plays the role of bonding and sealing. It is usually made of materials such as organic silicone and polyurethane adhesive, and can firmly bond the battery cells to materials such as the front glass and the back glass. At the same time, it prevents harmful substances such as external moisture and oxygen from invading the interior of the module, protects the battery cells and other components, and ensures the long-term stable operation of the photovoltaic module. In photovoltaic modules, the surface to be tested that is bonded to the adhesive layer refers to those surface areas that are in direct contact with the adhesive layer and require specific performance tests (such as transmittance tests). In this embodiment, the surface to be tested includes the front glass and the back glass. The surface to be tested includes multiple surface areas. Initial transmittance refers to the ability of the surface area to be tested to allow light to pass through under specific conditions (such as standard lighting conditions) before reliability testing.

[0056] Specifically, in the research and development, production and quality control process of photovoltaic modules, in order to comprehensively evaluate the performance and reliability of the modules, before conducting a series of rigorous reliability tests, it is necessary to obtain the initial transmittance of each surface area of ​​the surface to be tested that is bonded to the adhesive layer in the photovoltaic module. This is because the adhesive layer is a key packaging material for photovoltaic modules, and its performance and quality directly affect the long-term stability and power generation efficiency of the module. By accurately measuring the initial transmittance of each surface area, important benchmark data can be provided for subsequent reliability testing, which helps to accurately evaluate the performance changes of the module under different environmental conditions, timely discover potential quality problems, and provide a scientific basis for improving the design and manufacturing process of the module, thereby ensuring that the photovoltaic module can operate efficiently and stably in actual applications. It can be understood that the initial transmittance of each surface area in the surface to be tested represents the initial transmittance of each surface area corresponding to the photovoltaic module, not the initial transmittance of the surface to be tested itself.

[0057] Step S204 : After the reliability test, light transmittance test is performed on each surface area to obtain the test light transmittance of each surface area.

[0058] Light transmittance is a quantitative indicator obtained through light transmission testing, indicating the ability of light to pass through the photovoltaic module corresponding to the surface under test. It is the ratio of transmitted luminous flux to incident luminous flux, usually expressed as a percentage. The higher the light transmittance, the greater the ability of the surface area to allow light to pass through, and the better the optical transparency.

[0059] Specifically, in order to determine the test transmittance of the photovoltaic module after the reliability test, the transmittance test can be performed on each surface area separately. By accurately calculating and comparing the transmitted light intensity with the incident light intensity, the test transmittance of each surface area can be finally obtained, so as to facilitate subsequent comparison based on the test transmittance and the initial transmittance.

[0060] Step S206 : for each surface area, determining a transmittance difference between the initial transmittance of the surface area and the test transmittance.

[0061] The transmittance difference is the difference between the measured transmittance and the initial transmittance for the same surface area. By calculating this difference, we can intuitively understand whether the optical performance of that surface area has improved or deteriorated after testing, and the magnitude of the change.

[0062] Specifically, by comparing the initial transmittance and the test transmittance of each surface area, the transmittance difference between them can be calculated. If the transmittance difference is within the specified allowable range, it means that the optical performance of the surface area remains relatively stable during the test and the optical quality of the product meets the requirements; if the transmittance difference exceeds the allowable range, further analysis of the cause is required, which may be due to unstable material properties of the product, unreasonable structural design, or problems with the production process, so as to take corresponding improvement measures to improve the optical performance and reliability of the product. For example, the transmittance difference can be represented by the transmittance numerical difference, or by the transmittance ratio of the initial transmittance and the test transmittance. The specific representation method is not limited.

[0063] Step S208 : determining the interface contact detection result between the adhesive layer and the surface to be tested or the cell based on the area position and transmittance difference of each surface area.

[0064] The regional position represents the spatial location of a surface region within the overall object. It can be precisely described using coordinate systems (such as rectangular or polar coordinates) or roughly located using relative positions (such as up and down, left and right, front and back). Interface contact test results refer to the conclusions drawn from testing and analyzing the interface contact between the adhesive layer and the surface or cell under test. The quality of interface contact is crucial to product performance and reliability. For example, in electronic packaging, good interface contact between the adhesive layer and the chip or substrate ensures electrical connection stability and mechanical structural robustness. In solar cells, good interface contact between the adhesive layer and the cell reduces light reflection and scattering, improving photoelectric conversion efficiency. Interface contact test results typically include information such as whether the interface contact is good, whether the surface under test has excessive tension, the presence of defects (such as bubbles, cracks, delamination), and the extent and distribution of defects.

[0065] Specifically, during the quality inspection process of the product, in order to comprehensively evaluate the interface contact quality between the adhesive layer and the surface to be tested or the battery cell, the interface contact detection results can be determined based on the regional position and transmittance difference of each surface area. Optionally, the interface contact between the adhesive layer and the surface to be tested or the battery cell can be comprehensively analyzed based on the regional position and transmittance difference of each surface area, combined with the structural characteristics and performance requirements of the product. For example, if the transmittance difference of a certain surface area is large, and the area is located in an important functional part of the product, it may mean that there is a problem with the interface contact between the adhesive layer in the area and the surface to be tested or the battery cell, such as uneven thickness of the adhesive layer, the presence of bubbles or cracks and other defects. Figure 4 As shown, Figure 4 (a) is the light transmittance before reliability test. Figure 4 (b) shows the light transmittance after reliability testing when there are issues with the interface between the adhesive layer and the surface being tested or the cell. It can be determined that after reliability testing, if there are issues with the interface between the adhesive layer and the surface being tested or the cell, the light transmittance will deteriorate. By analyzing the characteristics, distribution, and relationship between these defects and their location, the results of the interface contact test between the adhesive layer and the surface being tested or the cell can be determined.

[0066] In some specific embodiments, the computer device can determine that there is an interface contact abnormality between the surface to be measured and the adhesive layer when the transmittance difference of at least one surface area meets the difference condition, determine the surface area where the transmittance difference meets the difference condition as an abnormal area, and determine the interface contact abnormality information between the adhesive layer and the surface to be measured or the battery cell based on the respective area positions and transmittance differences of each abnormal area.

[0067] In other specific embodiments, the computer device may determine that there is no interface contact abnormality between the surface to be tested and the adhesive layer when the transmittance differences of the surface regions do not satisfy the difference condition.

[0068] The above-mentioned photovoltaic module detection method obtains the initial light transmittance of each surface area of ​​the photovoltaic module to be tested that is bonded to the adhesive layer before the reliability test. This can determine the initial light transmittance of the photovoltaic module under normal conditions, so as to facilitate subsequent comparison with the light transmittance after the test. After the reliability test, the light transmittance of each surface area is tested separately to obtain the test light transmittance of each surface area. This can determine the light transmittance of each surface area of ​​the photovoltaic module after the reliability test. Then, for each surface area, the light transmittance difference between the initial light transmittance of the surface area and the test light transmittance is determined. Based on the area position and light transmittance difference of each surface area, the interface contact detection result between the adhesive layer and the surface to be tested or the cell is determined. Specifically, when light is incident on the surface area of ​​the photovoltaic module, if the interface contact between the adhesive layer of the photovoltaic module and the surface to be tested or the cell is poor, micron-level pores will be formed at the interface, the porosity will increase, resulting in increased interface scattering, increased optical loss, and reduced light transmittance. Therefore, the change in light transmittance can be used to evaluate the change in interface contact, thereby improving the accuracy of photovoltaic module detection.

[0069] In an exemplary embodiment, based on the respective area positions and transmittance differences of each surface area, the interface contact detection results between the glue layer and the surface to be tested or the battery cell are determined, including: when the transmittance difference of at least one surface area meets the difference condition, determining that there is an interface contact abnormality between the surface to be tested and the glue layer; determining the surface area where the transmittance difference meets the difference condition as an abnormal area; and determining the interface contact abnormality information between the glue layer and the surface to be tested or the battery cell based on the respective area positions and transmittance differences of each abnormal area.

[0070] The difference condition is a pre-set criterion for determining whether the transmittance difference is within the abnormal range. For example, if the absolute value of the transmittance difference is greater than a specific value (such as 5% or 10%), the transmittance difference is considered to meet the difference condition and be within the abnormal range. Abnormal regions refer to surface areas where the transmittance difference meets the difference condition. The presence of these regions indicates a potential interface problem between the surface and the adhesive layer, requiring further analysis and treatment. Identifying the abnormal region can pinpoint the specific location of the problem, providing a basis for subsequent fault diagnosis and repair. Interface contact abnormality information refers to information obtained through testing and analysis of the interface contact between the adhesive layer and the surface under test or the cell, indicating the presence and specific nature of the abnormality. Interface contact abnormality information may include, for example, the distribution of the abnormal region, the defect type (such as pores in the adhesive layer, delamination between the adhesive layer and the surface or cell), and the abnormality level (such as mild, moderate, or severe).

[0071] Specifically, after determining the transmittance difference between the initial transmittance of the surface area and the test transmittance, the transmittance difference of all surface areas can be judged according to the pre-set difference conditions. If it is found during the detection process that the transmittance difference of at least one surface area meets the difference condition, then it can be determined that there is an interface contact abnormality between the surface to be tested and the adhesive layer. Once it is determined that there is an interface contact abnormality, it is necessary to determine the surface area where the transmittance difference meets the difference condition as the abnormal area. Finally, based on the respective area positions and transmittance differences of each abnormal area, the interface contact abnormality information between the adhesive layer and the surface to be tested or the battery cell is further determined. For example, in order to more intuitively display the distribution of abnormal areas, image processing software can be used to mark the surface areas determined as abnormal areas on the overall image of the surface to be tested or the battery cell, for example, using different colors or shapes to represent abnormal areas of different severity.

[0072] In some specific embodiments, the computer equipment can count the abnormal proportion of the surface to be tested based on the respective area positions of each abnormal area, and count the data discreteness of each transmittance difference based on the respective transmittance differences of each abnormal area. When the abnormal proportion is greater than or equal to the proportion threshold and the data discreteness is less than or equal to the discreteness threshold, it is determined that the cause of the abnormal interface contact between the glue layer and the surface to be tested or the battery cell is abnormal performance of the entire panel.

[0073] In other specific embodiments, the computer device can also count the abnormal proportions of the surface to be measured based on the respective regional positions of each abnormal area, determine the difference characteristic values ​​of the photovoltaic module based on the transmittance differences of each abnormal area, and determine the abnormality level between the glue layer and the surface to be measured or the battery cell characterized by at least one of the abnormal proportions or the difference characteristic values.

[0074] In this embodiment, the difference conditions of the transmittance difference of each surface area are judged, and finally, based on the area position and transmittance difference of each abnormal area, the interface contact abnormality information between the glue layer and the surface to be tested or the battery cell is determined, which can improve the detection efficiency while ensuring the detection accuracy.

[0075] In an exemplary embodiment, the interface contact abnormality information includes the cause of the abnormality; based on the respective regional positions and transmittance differences of each abnormal area, the interface contact abnormality information between the glue layer and the surface to be measured or the battery cell is determined, including: based on the respective regional positions of each abnormal area, counting the abnormal proportion of the surface to be measured; based on the respective transmittance differences of each abnormal area, counting the data discreteness of each transmittance difference; when the abnormal proportion is greater than or equal to the proportion threshold and the data discreteness is less than or equal to the discreteness threshold, it is determined that the cause of the interface contact abnormality between the glue layer and the surface to be measured or the battery cell is abnormal performance of the entire panel.

[0076] The "abnormal ratio" refers to the ratio of the area of ​​the abnormal region (or other related metric) to the total area of ​​the surface being tested, or the ratio of the number of abnormal regions to the total number of surface areas. It measures the proportion of abnormal regions within the surface being tested. Data dispersion measures the degree of dispersion of a set of data (in this case, the transmittance differences), that is, the degree of dispersion of the data relative to its mean. Common metrics include range, variance, and standard deviation. The ratio threshold is a pre-set critical value used to determine whether the abnormal ratio meets the abnormality standard. When the abnormal ratio is greater than or equal to this threshold, the abnormality is considered severe. The dispersion threshold is a pre-set critical value used to determine whether the data dispersion is within the normal range. When the data dispersion is less than or equal to this threshold, the transmittance differences between abnormal regions are considered relatively small. A "whole-panel performance abnormality" refers to an overall performance abnormality on the surface being tested, for example, if the glass corresponding to the surface being tested has excessive surface tension.

[0077] Specifically, when inspecting the interface contact between the adhesive layer and the surface to be tested or the cell, attention must first be paid to abnormal areas on the surface to be tested. These abnormal areas differ from normal areas in appearance, performance, and other aspects, and each has its own specific location on the surface to be tested. To assess the overall abnormality of the surface to be tested, a computer device can calculate the abnormality ratio of the surface to be tested based on the location of each abnormal area. This is the ratio of the area of ​​the abnormal area (or other relevant metric) to the total area of ​​the surface to be tested. Furthermore, since different abnormal areas may have different light transmittance properties, it is also necessary to calculate the data dispersion of each transmittance difference based on the transmittance differences of each abnormal area to measure the magnitude of the transmittance differences between the abnormal areas. When the abnormality ratio is greater than or equal to the ratio threshold, the abnormality on the surface to be tested is severe; when the data dispersion is less than or equal to the dispersion threshold, the transmittance differences between the abnormal areas are relatively small. When these two conditions are met simultaneously, it is determined that the photovoltaic module has a large-scale abnormality and the transmittance difference of each abnormal area is relatively small. Then it can be determined that the cause of the interface contact abnormality is abnormal performance of the entire panel, that is, there is a systematic and holistic problem on the entire surface to be tested, rather than a local and individual problem.

[0078] In this embodiment, based on the specific circumstances of the abnormal proportion and data discreteness of the surface to be tested, it is determined that the photovoltaic module has a large-scale abnormality, and the transmittance difference of each abnormal area is relatively small. Then, the cause of the interface contact abnormality is determined to be abnormal performance of the entire panel, which can ensure the accuracy of photovoltaic module abnormality detection.

[0079] In an exemplary embodiment, the interface contact abnormality information includes an abnormality level; based on the respective regional positions and transmittance differences of each abnormal area, the interface contact abnormality information between the adhesive layer and the surface to be measured or the battery cell is determined, including: based on the respective regional positions of each abnormal area, counting the abnormal proportion of the surface to be measured; based on the respective transmittance differences of each abnormal area, determining the difference characteristic value of the photovoltaic module; determining the abnormality level between the adhesive layer and the surface to be measured or the battery cell characterized by at least one of the abnormal proportion or the difference characteristic value.

[0080] The abnormality level is positively correlated with the abnormality ratio, and the abnormality level is positively correlated with the difference characteristic value. The difference characteristic value refers to the characteristic value of the transmittance difference. For example, in this embodiment, the difference characteristic value can be represented by a maximum or maximum value. The abnormality level is the result of a graded assessment of the abnormality between the adhesive layer and the surface to be tested or the cell, based on indicators such as the abnormality ratio and the difference characteristic value, and is used to intuitively reflect the severity of the abnormality.

[0081] Specifically, during the quality inspection of photovoltaic modules, a computer can first accurately calculate the abnormality ratio of the surface being tested based on the location of each abnormal area. Specifically, through advanced image recognition technology or high-precision measurement equipment, the specific location of each abnormal area on the surface being tested is determined, and its area (or number) is calculated. The ratio of the area (or number) of the abnormal area to the total area (or total number) of the surface being tested is then calculated, which is the abnormality ratio. This quantifies the degree of abnormality on the surface being tested.

[0082] At the same time, the differential characteristic values ​​of the photovoltaic modules are determined based on the transmittance differences of each abnormal area. Using specialized optical measuring instruments, the transmittance of each abnormal area and normal area is measured, and the transmittance difference between each abnormal area and the normal area, or between different abnormal areas, is calculated.

[0083] Finally, the computer device can determine the abnormality level between the glue layer and the surface to be tested or the battery cell, which is characterized by at least one of the abnormality ratio or the difference characteristic value. Among them, the abnormality level is positively correlated with the abnormality ratio, that is, the higher the abnormality ratio, the more serious the abnormality of the surface to be tested, and the higher the abnormality level; at the same time, the abnormality level is positively correlated with the difference characteristic value. The larger the difference characteristic value, the more obvious the difference in transmittance of the abnormal area, and the abnormality level is correspondingly increased. For example, if the transmittance differences of each surface area are 1%, 2%, and 10% respectively, then the difference characteristic value is 10%. This large difference characteristic value indicates that the abnormality level between the glue layer and the surface to be tested or the battery cell is relatively serious. Optionally, the abnormality level corresponds to the abnormality type. If the abnormality level is weak, the abnormality type can be determined to be micropores; if the abnormality level is very serious, the abnormality type can be determined to be delamination between the surface to be tested and the glue layer.

[0084] In this embodiment, based on the abnormal ratio and the difference characteristic value, the abnormal level between the adhesive layer and the surface to be tested or the battery cell, which is characterized by at least one of the abnormal ratio or the difference characteristic value, is determined. This allows for a scientific and accurate grading assessment of the abnormal conditions between the adhesive layer and the surface to be tested or the battery cell, providing an important basis for quality control and subsequent processing of photovoltaic modules.

[0085] In an exemplary embodiment, the computer device can also count the abnormal proportion of the surface to be measured based on the respective regional positions of each abnormal area, count the data discreteness of each transmittance difference based on the respective transmittance differences of each abnormal area, and determine the difference characteristic value of the photovoltaic module. When the abnormal proportion is greater than or equal to the proportion threshold and the data discreteness is less than or equal to the discreteness threshold, it is determined that the cause of the abnormal interface contact between the glue layer and the surface to be measured or the battery cell is abnormal performance of the entire panel, and the abnormal level between the glue layer and the surface to be measured or the battery cell represented by at least one of the abnormal proportion or the difference characteristic value is determined.

[0086] In an exemplary embodiment, the photovoltaic module detection method also includes: using detection light of different bands to perform light transmittance detection on the photovoltaic module, and determining the light absorption efficiency of the photovoltaic module for each detection light; determining the detection light with the lowest light absorption efficiency as the target detection light; obtaining the initial light transmittance of each surface area of ​​the surface to be tested in the photovoltaic module that is bonded to the adhesive layer, including: under the irradiation of the target detection light, obtaining the initial light transmittance of each surface area of ​​the surface to be tested in the photovoltaic module that is bonded to the adhesive layer; performing light transmittance detection on each surface area to obtain the test transmittance of each surface area, including: using the target detection light to perform light transmittance detection on each surface area to obtain the test transmittance of each surface area.

[0087] Among them, detection light of different bands refers to detection light with different wavelengths or different wavelength ranges. For example, the visible light band, infrared light band, ultraviolet light band, etc. Detection light is light specifically used for detection purposes, and here refers to light with specific different wavelength ranges, which is used to illuminate photovoltaic modules for relevant performance testing. Light absorption efficiency refers to the ability of photovoltaic modules to absorb light of a specific band, usually expressed as a percentage. That is, the ratio of the energy of light in this band absorbed by the photovoltaic module to the total energy of light in this band incident on the photovoltaic module. The higher the light absorption efficiency, the stronger the photovoltaic module's ability to utilize light in this band. In this embodiment, in order to make the transmittance data more distinct, light with the lowest light absorption efficiency is generally selected as the detection light.

[0088] Specifically, during the quality inspection and performance evaluation of photovoltaic modules, to gain a deeper understanding of the modules' absorption characteristics for light at different wavelengths, different wavelengths of test light can be used to perform light transmission tests on the modules. Specifically, a computer device selects a series of light beams with different wavelengths as test light, such as visible light (approximately 380-780 nanometers), near-infrared light (approximately 780-2500 nanometers), and ultraviolet light (approximately 10-400 nanometers). These beams are then segmented according to their respective wavelengths to produce test light beams of different wavelengths. These test light beams of different wavelengths are then sequentially directed onto the photovoltaic modules. Specialized testing equipment is then used to measure the module's absorption of each test light beam, thereby determining the module's absorption efficiency for each test light beam. Once the absorption efficiency data for the different wavelengths of test light beams is obtained, these data can be compared and analyzed. The test light beam with the lowest absorption efficiency is identified as the target test light beam. The target detection light band was chosen because, theoretically, this wavelength is less absorbed by PV modules and has relatively good penetration. In subsequent inspections, using this target detection light band with the lowest absorption efficiency may be more effective in detecting the internal structure and potential defects of PV modules. For example, it can more clearly observe the arrangement of the cells within the module and the presence of cracks, hidden cracks, and other defects, providing more accurate and valuable information for quality assessment and performance optimization of PV modules.

[0089] On this basis, the computer device can obtain the initial light transmittance of each surface area of ​​the photovoltaic module bonded to the adhesive layer under the illumination of the target detection light, and use the target detection light to perform light transmittance detection on each surface area to obtain the test light transmittance of each surface area. Furthermore, in this embodiment, infrared light in the 1100nm-1400nm band is selected as the target detection light. Figure 5 As shown in the figure, when infrared light in the 1100nm-1400nm band is used as the target detection light, the transmittance of the BSL (Backsheet Layer) failed component a and the DS (Delamination / Snail Trails) failed component b in the photovoltaic module is relatively good.

[0090] In this embodiment, light with the lowest light absorption efficiency is selected as the target detection light, and light transmission detection is performed using the target detection light, which can improve the accuracy of photovoltaic module detection.

[0091] In an exemplary embodiment, target detection light is used to perform light transmittance detection on each surface area to obtain the test transmittance of each surface area, including: expanding the target detection light to obtain multiple beams of sub-detection light that illuminate each surface area respectively; for each surface area, under the illumination of the sub-detection light corresponding to the surface area, performing light transmittance detection on the surface area to obtain the test transmittance of the surface area.

[0092] The expanded target detection light is then split into multiple beams, each of which is called a sub-detection light. These sub-detection lights are used to illuminate different surface areas, enabling simultaneous or sequential detection of multiple areas.

[0093] Specifically, in order to enable it to illuminate multiple surface areas of the object to be detected simultaneously or sequentially, the target detection light can be expanded, and the originally concentrated and smaller diameter target detection light beam can be expanded, so that the diameter of the light beam increases and the divergence angle becomes smaller, thereby obtaining multiple beams of detection light that illuminate each surface area respectively.

[0094] Next, for each surface area of ​​the object to be inspected, under the illumination of the sub-detection light corresponding to the corresponding surface area, the computer device can allow the sub-detection light to illuminate the surface area vertically or at a specific angle to perform light transmission detection on the surface area.

[0095] Finally, based on the measured incident light intensity and transmitted light intensity, the test transmittance of the surface area is calculated according to the transmittance calculation formula (transmittance = transmitted light intensity / incident light intensity × 100%).

[0096] In this embodiment, a single detection light is decomposed into multiple sub-beams of detection light through beam expansion technology, which can simultaneously cover multiple surface areas of the object to be detected, realize parallel detection, and improve detection efficiency and accuracy.

[0097] In a specific embodiment, a method for preparing a photovoltaic module is also provided. First, a small-scale module of the same scale is prepared as a test sample. The solar cell is first cut into 3cm*3cm squares, the front and back adhesive films are cut into 5cm*5cm squares respectively, and the front and back glass are 5cm*5cm square glass. The packaging method is ( Figure 3 ): front glass 10, front adhesive film 20, battery cell 30, back adhesive film 40, back glass 50, after packaging, laminator is laminated at 150℃ to form a small component sample.

[0098] In a specific embodiment, Figure 6 As shown, a photovoltaic module detection method is also provided, including:

[0099] Step S601, using different wavelengths of detection light to perform light transmission detection on the photovoltaic module, and determining the light absorption efficiency of the photovoltaic module for each detection light;

[0100] Step S602, determining the detection light with the lowest light absorption efficiency as the target detection light;

[0101] Step S603 , before the reliability test, under the illumination of the target detection light, obtaining the initial light transmittance of each surface area of ​​the surface to be tested that is bonded to the adhesive layer in the photovoltaic module;

[0102] Step S604: After the reliability test, the target detection light is expanded to obtain multiple sub-beams of detection light that illuminate each surface area respectively;

[0103] Step S605 , for each surface area, performing light transmittance detection on the surface area under the illumination of the sub-detection light corresponding to the surface area to obtain a test light transmittance of the surface area;

[0104] Step S606 , for each surface area, determining a transmittance difference between an initial transmittance of the surface area and a test transmittance;

[0105] Step S607 , when the transmittance difference of at least one surface area satisfies the difference condition, determining that there is an interface contact abnormality between the surface to be tested and the adhesive layer;

[0106] Step S608, determining the surface area where the transmittance difference meets the difference condition as an abnormal area;

[0107] Step S609, based on the respective regional positions of the abnormal regions, counting the abnormal proportions of the surface to be tested;

[0108] Step S610, based on the transmittance differences of the abnormal regions, calculating the data dispersion of the transmittance differences;

[0109] Step S611 , when the abnormal ratio is greater than or equal to the ratio threshold and the data dispersion is less than or equal to the dispersion threshold, determining that the cause of the abnormal interface contact between the glue layer and the surface to be tested or the cell is abnormal performance of the entire panel;

[0110] Step S612, based on the respective regional positions of the abnormal regions, counting the abnormal proportions of the surface to be tested;

[0111] Step S613, determining a difference characteristic value of the photovoltaic module based on the transmittance difference of each abnormal area;

[0112] Step S614, determining the abnormality level between the glue layer and the surface to be tested or the battery cell, characterized by at least one of an abnormal ratio or a difference characteristic value;

[0113] Among them, the abnormality level is positively correlated with the abnormality proportion, and the abnormality level is positively correlated with the difference characteristic value.

[0114] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0115] Based on the same inventive concept, embodiments of the present application also provide a photovoltaic module detection device for implementing the photovoltaic module detection method described above. The solution to the problem provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more photovoltaic module detection device embodiments provided below can be found in the above-mentioned limitations of the photovoltaic module detection method and will not be repeated here.

[0116] In an exemplary embodiment, Figure 7 As shown, a photovoltaic module detection device 700 is provided, comprising: an initial light transmittance acquisition module 702, a light transmittance detection module 704, a light transmittance difference determination module 706 and a detection result determination module 708, wherein:

[0117] The initial light transmittance acquisition module 702 is used to acquire the initial light transmittance of each surface area of ​​the photovoltaic module to be tested that is bonded to the adhesive layer before the reliability test;

[0118] a light transmittance detection module 704 for performing light transmittance detection on each of the surface areas after the reliability test to obtain a test light transmittance of each of the surface areas;

[0119] a transmittance difference determining module 706 for determining, for each surface area, a transmittance difference between an initial transmittance of the surface area and a test transmittance;

[0120] The detection result determination module 708 is configured to determine the interface contact detection result between the surface to be tested and the adhesive layer based on the area position and transmittance difference of each of the surface areas.

[0121] In an exemplary embodiment, the detection result determination module 708 includes:

[0122] an interface contact abnormality determining unit, configured to determine that an interface contact abnormality exists between the surface to be tested and the adhesive layer when a transmittance difference of at least one of the surface regions satisfies a difference condition;

[0123] an abnormal region determining unit, configured to determine the surface region where the transmittance difference satisfies a difference condition as an abnormal region;

[0124] The abnormal information determining unit is used to determine the abnormal information of the interface contact between the adhesive layer and the surface to be tested or the battery cell based on the area position and transmittance difference of each of the abnormal areas.

[0125] In an exemplary embodiment, the interface contact abnormality information includes the abnormality cause. In the case of this embodiment, the abnormality information determination unit is used to:

[0126] Based on the respective area positions of the abnormal areas, counting the abnormal proportions of the surface to be measured;

[0127] Based on the transmittance differences of the abnormal regions, calculating the data dispersion of the transmittance differences;

[0128] When the abnormal ratio is greater than or equal to a ratio threshold and the data discreteness is less than or equal to a discreteness threshold, it is determined that the cause of the abnormal interface contact between the glue layer and the surface to be tested or the battery cell is abnormal performance of the entire panel.

[0129] In an exemplary embodiment, the interface contact abnormality information includes an abnormality level. In the case of this embodiment, the abnormality information determination unit is further configured to:

[0130] Based on the respective area positions of the abnormal areas, counting the abnormal proportions of the surface to be measured;

[0131] Determining a difference characteristic value of the photovoltaic module based on a difference in light transmittance of each of the abnormal regions;

[0132] Determine an abnormality level between the glue layer and the surface to be tested or the battery cell characterized by at least one of the abnormality ratio or the difference characteristic value; the abnormality level is positively correlated with the abnormality ratio, and the abnormality level is positively correlated with the difference characteristic value.

[0133] In an exemplary embodiment, the photovoltaic module detection device 700 further includes a target detection light determination module, specifically configured to:

[0134] Using detection lights of different wavelengths to perform light transmission detection on the photovoltaic module, and determining the light absorption efficiency of the photovoltaic module for each of the detection lights;

[0135] determining the detection light with the lowest light absorption efficiency as the target detection light;

[0136] The initial light transmittance acquisition module 702 is specifically used to:

[0137] Under the irradiation of the target detection light, obtaining the initial light transmittance of each surface area of ​​the surface to be tested bonded to the adhesive layer in the photovoltaic module;

[0138] The light transmission detection module 704 includes:

[0139] The light transmittance detection unit is used to perform light transmittance detection on each of the surface areas using the target detection light to obtain a test light transmittance of each of the surface areas.

[0140] In an exemplary embodiment, the light transmission detection unit is specifically configured to:

[0141] Expanding the target detection light to obtain multiple sub-detection lights that respectively illuminate each of the surface areas;

[0142] For each of the surface areas, light transmittance detection is performed on the surface area under the illumination of the sub-detection light corresponding to the surface area to obtain a test light transmittance of the surface area.

[0143] Each module in the photovoltaic module detection device described above can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0144] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 8As shown. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless means, and the wireless means can be implemented via Wi-Fi, a mobile cellular network, near-field communication (NFC), or other technologies. When executed by the processor, the computer program implements a photovoltaic module inspection method. The display unit of the computer device is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0145] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0146] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0147] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0148] In one embodiment, a computer program product is provided, comprising a computer program, which implements the steps of the above method when executed by a processor.

[0149] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0150] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0151] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0152] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A photovoltaic module detection method, characterized in that: The method comprises: Before the reliability test, obtaining the initial light transmittance of each surface area of ​​the surface to be tested that is bonded to the adhesive layer in the photovoltaic module; After the reliability test, performing light transmittance testing on each of the surface areas to obtain a test light transmittance of each of the surface areas; For each of the surface regions, determining a light transmittance difference between an initial light transmittance of the surface region and a test light transmittance; Based on the respective area positions and transmittance differences of the surface areas, the interface contact detection result between the adhesive layer and the surface to be tested or the battery cell is determined.

2. The method according to claim 1, characterized in that The determining of the interface contact detection result between the adhesive layer and the surface to be tested or the battery cell based on the respective area positions and transmittance differences of the surface areas includes: When the transmittance difference of at least one of the surface regions satisfies a difference condition, determining that there is an interface contact abnormality between the surface to be tested and the adhesive layer; determining the surface area where the transmittance difference satisfies the difference condition as an abnormal area; Based on the area position and transmittance difference of each of the abnormal areas, the abnormal interface contact information between the adhesive layer and the surface to be tested or the battery cell is determined.

3. The method according to claim 2, characterized in that The interface contact abnormality information includes the cause of the abnormality; and determining the interface contact abnormality information between the adhesive layer and the surface to be tested or the battery cell based on the respective area positions and transmittance differences of the abnormal areas includes: Based on the respective area positions of the abnormal areas, counting the abnormal proportions of the surface to be measured; Based on the transmittance differences of the abnormal regions, calculating the data dispersion of the transmittance differences; When the abnormal ratio is greater than or equal to a ratio threshold and the data discreteness is less than or equal to a discreteness threshold, it is determined that the cause of the abnormal interface contact between the glue layer and the surface to be tested or the battery cell is abnormal performance of the entire panel.

4. The method according to claim 2, characterized in that The interface contact abnormality information includes an abnormality level; and determining the interface contact abnormality information between the adhesive layer and the surface to be tested or the battery cell based on the respective area positions and transmittance differences of the abnormal areas includes: Based on the respective area positions of the abnormal areas, counting the abnormal proportions of the surface to be measured; Determining a difference characteristic value of the photovoltaic module based on a difference in light transmittance of each of the abnormal regions; Determine an abnormality level between the adhesive layer and the surface to be tested or the battery cell characterized by at least one of the abnormality ratio or the difference characteristic value; the abnormality level is positively correlated with the abnormality ratio, and the abnormality level is positively correlated with the difference characteristic value.

5. The method according to claim 1, wherein The method further comprises: Using detection lights of different wavelengths to perform light transmission detection on the photovoltaic module, and determining the light absorption efficiency of the photovoltaic module for each of the detection lights; determining the detection light with the lowest light absorption efficiency as the target detection light; The step of obtaining the initial light transmittance of each surface area of ​​the surface to be tested that is bonded to the adhesive layer in the photovoltaic module includes: Under the irradiation of the target detection light, obtaining the initial light transmittance of each surface area of ​​the surface to be tested bonded to the adhesive layer in the photovoltaic module; The light transmittance detection is performed on each of the surface areas to obtain the test light transmittance of each of the surface areas, including: The target detection light is used to perform light transmittance detection on each of the surface areas to obtain a test light transmittance of each of the surface areas.

6. The method according to claim 5, characterized in that The method of performing light transmittance detection on each of the surface areas using the target detection light to obtain a test light transmittance of each of the surface areas includes: Expanding the target detection light to obtain multiple sub-detection lights that respectively illuminate each of the surface areas; For each of the surface areas, light transmittance detection is performed on the surface area under the illumination of the sub-detection light corresponding to the surface area to obtain a test light transmittance of the surface area.

7. A photovoltaic module detection device, characterized in that: The device comprises: An initial light transmittance acquisition module is used to acquire the initial light transmittance of each surface area of ​​the photovoltaic module to be tested that is bonded to the adhesive layer before the reliability test; a light transmittance detection module, configured to perform light transmittance detection on each of the surface areas after the reliability test to obtain a test light transmittance of each of the surface areas; a light transmittance difference determining module, configured to determine, for each surface area, a light transmittance difference between an initial light transmittance of the surface area and a test light transmittance; The detection result determination module is used to determine the interface contact detection result between the surface to be tested and the adhesive layer based on the area position and transmittance difference of each of the surface areas.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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