Photovoltaic cell glue path printing detection device and photovoltaic cell glue path printing detection method

Abstract

The present application relates to the technical field of photovoltaic cells, and discloses a photovoltaic cell glue path printing detection device and a photovoltaic cell glue path printing detection method. In the present application, the lighting assembly includes a first light source and a second light source of different types of light sources, so that in the imaging process, the advantages of different types of light sources can be combined for photographing and imaging, thereby improving the quality of glue path imaging and preventing the situation of glue path detection misjudgment caused by too small glue path gray scale difference due to imaging shadow of a single type of light source. At the same time, the optical imaging assembly is increased from a single camera to four cameras, and one camera corresponds to one quadrant of the cell sheet. In the imaging process, each camera can capture more details of the cell sheet, thereby improving the imaging accuracy and effect, and further improving the accuracy of glue path analysis and detection, reducing the misjudgment rate of cell sheet printing defects, saving labor cost, and reducing the loss of cell sheet detection picking.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic cell technology, and in particular to a photovoltaic cell adhesive circuit printing inspection device and a photovoltaic cell adhesive circuit printing inspection method. Background Technology

[0002] With the development of the photovoltaic industry, the requirements for product quality and efficiency are becoming increasingly stringent. Automated Optical Inspection (AOI) can acquire images of object surfaces during the production process using optical imaging systems, and then analyze these images through image processing algorithms and pattern recognition technology to automatically detect various defects on the object surface, demonstrating significant technological advantages. In the photovoltaic industry, back-contact cells are widely used in various photovoltaic systems due to their unique structure and performance advantages; however, in the production of back-contact cells, a single printing process directly affects the cell's performance and quality. Defects such as uneven adhesive application or printing misalignment can easily lead to problems such as short circuits and power degradation in the cells, affecting the stability of photovoltaic modules.

[0003] However, the inventors discovered that current methods for inspecting the first-stage printing of back-contact batteries mostly employ single-camera, single-source light source imaging. This method has significant drawbacks: it easily produces shadows in the image, the grayscale difference between the adhesive area and the unprinted area is small, the imaging effect on transparent adhesive is poor, and it is difficult to accurately detect defects. Furthermore, printing defects can cause short circuits in the battery, threatening product quality and safety. Therefore, developing equipment and methods suitable for the first-stage printing inspection of back-contact batteries, eliminating imaging shadows, and improving inspection results has become an urgent task for the industry. Summary of the Invention

[0004] The purpose of this invention is to provide a photovoltaic cell adhesive circuit printing inspection device and a photovoltaic cell adhesive circuit printing inspection method, so as to eliminate imaging shadows and improve imaging effect during the AOI inspection of back contact cells, thereby improving the accuracy and efficiency of inspection.

[0005] To address the aforementioned technical problems, embodiments of the present invention provide a photovoltaic cell adhesive circuit printing inspection device, comprising: an illumination component, an optical imaging component, and an image processing component; the illumination component includes a first light source and a second light source; the first light source and the second light source are light sources of different types; the first light source is attached to the optical imaging component, and the second light source is disposed around the optical imaging component; the optical imaging component includes four cameras, each corresponding to one of the four quadrants of the cell under test; the optical imaging component is connected to the image processing component, and the image processing component is used to perform adhesive circuit detection and analysis on the images of the cell under test captured by the optical imaging component.

[0006] An embodiment of the present invention also provides a photovoltaic cell adhesive circuit printing detection method, applied to the above-mentioned photovoltaic cell adhesive circuit printing detection equipment. The method includes: after the illumination component is activated, the optical imaging component takes a picture of the cell under test; the optical imaging component sends the captured image of the cell under test to the image processing component, and the image processing component performs adhesive circuit detection analysis on the image of the cell under test.

[0007] In this embodiment of the invention, since the illumination component includes a first light source and a second light source of different types, the advantages of different types of light sources can be combined during the imaging process to improve the quality of adhesive path imaging. This prevents misjudgment of adhesive path detection caused by excessively small grayscale differences in the adhesive path due to imaging shadows caused by a single type of light source, and eliminates the need for additional equipment for supplementary lighting during the imaging process, thus improving the efficiency of adhesive path detection. At the same time, the optical imaging component is upgraded from a single camera to four cameras, with each camera corresponding to one quadrant of the battery cell. During the imaging process, each camera can capture more details of the battery cell, thereby improving the accuracy and effect of imaging, further enhancing the accuracy of adhesive path analysis and detection, reducing the misjudgment rate of battery cell printing defects, saving labor costs, and reducing the loss of battery cell inspection and selection.

[0008] In addition, the first light source is a coaxial light source; the second light source is an area array light source; the number of the first light sources is the same as the number of cameras in the optical imaging assembly, and the lens of each camera is attached to one of the first light sources, and the light emitted by each first light source is on the same axis as the optical axis of the attached camera; the four cameras in the optical imaging assembly are located at the same horizontal height, and the four cameras synchronously photograph the battery cell under test each time.

[0009] In addition, the image sensor of the camera in the optical imaging assembly has a pixel count of 20 million to 36 million.

[0010] In addition, the photovoltaic cell adhesive circuit printing inspection equipment also includes a mechanical motion component; the mechanical motion component has a cell placement area and is connected to the optical imaging component; the mechanical motion component controls the movement of the cell under test and / or the optical imaging component according to the position of the cell under test captured by the optical imaging component.

[0011] In addition, the optical imaging component sends the captured image of the battery cell under test to the image processing component. The image processing component performs adhesive path detection and analysis on the image of the battery cell under test, including: the optical imaging component sending the initial images of the battery cell under test captured by the four cameras to the image processing component; the initial images are the original images of the battery cell under test captured by each camera; the image processing component receives the four initial images, stitches the four initial images together, and then performs adhesive path annotation and detection analysis on the stitched image.

[0012] In addition, the process of stitching the four initial images includes: stitching the four initial images captured by the four cameras according to their corresponding positions in the four quadrants to obtain a complete image of the battery cell under test.

[0013] In addition, grayscale values ​​are calculated for the complete image, and regions in the complete image with grayscale values ​​greater than a preset grayscale threshold are marked to obtain a marked image.

[0014] In addition, the step of annotating and analyzing the glue path in the stitched image includes: calculating the glue path coverage of the annotated image; if the glue path coverage is greater than a first preset coverage threshold, the test result of the battery cell under test is qualified.

[0015] In addition, the process of annotating and analyzing the adhesive path in the stitched image includes: dividing the annotated image into a first detection area and a second detection area according to a preset template; a first preset coverage threshold for the first detection area being greater than a second preset coverage threshold for the second detection area; calculating the adhesive path coverage of the first and second detection areas in the annotated image respectively; and determining that the test result of the battery cell is qualified when the adhesive path coverage of the first detection area is greater than the first preset coverage threshold and / or the adhesive path coverage of the second detection area is greater than the second preset coverage threshold. Attached Figure Description

[0016] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0017] Figure 1 This is a schematic diagram of the structure of a photovoltaic cell adhesive circuit printing inspection device provided in one embodiment of this application. Figure 1 ;

[0018] Figure 2 This is a schematic diagram of the structure of a photovoltaic cell adhesive circuit printing inspection device provided in one embodiment of this application. Figure 2 ;

[0019] Figure 3 This is an image of a photovoltaic cell under test obtained by processing the adhesive circuit printing inspection device provided in an embodiment of this application;

[0020] Figure 4 This is a flowchart of a photovoltaic cell adhesive circuit printing inspection method provided in an embodiment of this application. Figure 1 ;

[0021] Figure 5 This is a flowchart of a photovoltaic cell adhesive circuit printing inspection method provided in an embodiment of this application. Figure 2 ;

[0022] Figure 6 This is a flowchart of a photovoltaic cell adhesive circuit printing inspection method provided in one embodiment of this application. Figure 3 ;

[0023] Figure 7 This is a grayscale comparison image of the adhesive path and the adhesive deficiency area in the battery cell under test provided in one embodiment of this application;

[0024] Figure 8 This is a flowchart of a photovoltaic cell adhesive circuit printing inspection method provided in an embodiment of this application. Figure 4 ;

[0025] Figure 9 This is a schematic diagram of the internal structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0026] Because the single-camera, single-light source imaging is often used for the first-stage printing inspection of back-contact batteries, the imaging is prone to shadows, the grayscale difference between the glued and unprinted areas is small, and the imaging effect on transparent glue is poor, making it difficult to accurately detect defects. Glue defects can cause short circuits in the battery, threatening product quality and safety. Therefore, developing equipment and methods suitable for the first-stage printing inspection of back-contact batteries, eliminating imaging shadows, and improving inspection results has become an urgent task for the industry.

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the various embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details are presented in the various embodiments of the present invention to enable readers to better understand this application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in this application can be implemented. The division of the following embodiments is for the convenience of description and should not constitute any limitation on the specific implementation of the present invention. The various embodiments can be combined with and referenced to each other without contradiction. The implementation details of the photovoltaic cell adhesive circuit printing and testing equipment of the present invention will be specifically described below. The following content is only for the convenience of understanding and is not necessary for implementing this solution.

[0028] One embodiment of the present invention relates to a photovoltaic cell adhesive circuit printing inspection device, which can be used to inspect the adhesive circuit printing condition of the back contact cell. For example... Figure 1 and Figure 2 As shown, the photovoltaic cell adhesive printing inspection equipment includes: an illumination component, an optical imaging component, and an image processing component; the illumination component includes a first light source 1 and a second light source 2; the first light source 1 and the second light source 2 are light sources of different types; the first light source 1 is attached to the optical imaging component, and the second light source 2 is disposed around the optical imaging component; the optical imaging component includes four cameras 3, which correspond to the four quadrants of the cell under test; the optical imaging component is connected to the image processing component, and the image processing component is used to perform adhesive printing inspection and analysis on the images of the cell under test captured by the optical imaging component.

[0029] Specifically, in some embodiments, the four cameras in the optical imaging assembly are respectively a first quadrant camera corresponding to the first quadrant of the battery cell under test, a second quadrant camera corresponding to the second quadrant of the battery cell under test, a third quadrant camera corresponding to the third quadrant of the battery cell under test, and a fourth quadrant camera corresponding to the fourth quadrant of the battery cell under test. During image capture, the first quadrant camera captures an image of the area in the first quadrant of the battery cell under test; the second quadrant camera captures an image of the area in the second quadrant of the battery cell under test; the third quadrant camera captures an image of the area in the third quadrant of the battery cell under test; and the fourth quadrant camera captures an image of the area in the fourth quadrant of the battery cell under test. Finally, the images of the battery cell under test captured by the first, second, third, and fourth quadrant cameras are stitched together and detected. The merged complete image of the battery cell is shown below. Figure 3 As shown.

[0030] In some embodiments, the first light source 1 is a coaxial light source; the second light source 2 is an area array light source; the number of the first light sources 1 is the same as the number of cameras 3 in the optical imaging assembly, and the lens of each camera 3 is attached to one of the first light sources 1, and the light emitted by each first light source 1 is on the same axis as the optical axis of the attached camera 3; the four cameras 3 in the optical imaging assembly are located at the same horizontal height, and the four cameras 3 synchronously photograph the battery cell under test each time.

[0031] Specifically, a coaxial light source is a light source system in which the light source is mounted coaxially with the optical axis of the lens. It mainly utilizes optical elements such as semi-transparent mirrors or beam splitters to ensure that the light emitted from the light source, after reflection or refraction, illuminates the object being measured along the optical axis of the lens. The light reflected from the object then returns along the original path and enters the lens to form an image. This ensures that the light is incident and reflected perpendicularly to the object's surface, reducing shadows and reflection interference caused by light tilt. This application, by employing a coaxial light source, can eliminate imaging shadows and reduce reflections, making the edges and details of objects in the image clearer, thus improving image contrast and quality. An area array light source, on the other hand, is a light source capable of providing uniform illumination over a large area. It typically consists of multiple light-emitting diodes (LEDs) or other light-emitting elements arranged in a specific array. Through reasonable design of the optical structure and control circuit, these light-emitting elements emit light simultaneously, forming a uniform area light source that provides large-area illumination to the object being measured. This application achieves large-area uniform illumination by employing a planar light source, which can cover a large inspection area of ​​the solar cell under test. This ensures that the entire inspection area of ​​the solar cell receives sufficient and uniform illumination, and improves the brightness of the illumination to meet the light intensity requirements of different areas. Specifically, this application uses both a coaxial light source and a planar light source in the photovoltaic cell adhesive circuit printing inspection equipment to inspect the solar cell under test. The coaxial light source reduces central imaging shadows on the solar cell under test, while the planar light source reduces peripheral imaging shadows, resulting in uniform light source brightness and improved imaging clarity of the solar cell under test. This improves the accuracy of adhesive circuit inspection and reduces misjudgments in adhesive circuit inspection.

[0032] In some embodiments, the image sensor of the camera in the optical imaging assembly has a pixel count of 20 million to 36 million. Specifically, in one embodiment, the image sensor of the camera in the optical imaging assembly has a pixel count of 25 million and a pixel resolution of 0.04 mm / pixel. It should be noted that those skilled in the art can also select different specifications for the pixel count of the camera sensor in the optical imaging assembly according to actual detection requirements, and this application does not impose any limitations on this.

[0033] In some embodiments, the photovoltaic cell adhesive circuit printing inspection equipment further includes a mechanical motion component; the mechanical motion component has a cell placement area and is connected to the optical imaging component; the mechanical motion component controls the movement of the cell under test and / or the optical imaging component according to the position of the cell under test captured by the optical imaging component.

[0034] Specifically, in some embodiments, the mechanical motion component acquires the image of the battery cell under test captured by the optical imaging component in real time, and determines whether the battery cell under test has moved to a preset position based on the position of the image of the battery cell under test. If the battery cell under test has moved to the preset position, the battery cell under test is photographed and detected; if the battery cell under test has not moved to the preset position, the battery cell under test is controlled to move to the preset position based on the distance between the current position of the battery cell under test and the preset position.

[0035] In this embodiment of the invention, since the illumination component includes a first light source and a second light source of different types, the advantages of different types of light sources can be combined during the imaging process to improve the quality of adhesive path imaging. This prevents misjudgment of adhesive path detection caused by excessively small grayscale differences in the adhesive path due to imaging shadows caused by a single type of light source, and eliminates the need for additional equipment for supplementary lighting during the imaging process, thus improving the efficiency of adhesive path detection. At the same time, the optical imaging component is upgraded from a single camera to four cameras, with each camera corresponding to one quadrant of the battery cell. During the imaging process, each camera can capture more details of the battery cell, thereby improving the accuracy and effect of imaging, further enhancing the accuracy of adhesive path analysis and detection, reducing the misjudgment rate of battery cell printing defects, saving labor costs, and reducing the loss of battery cell inspection and selection.

[0036] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0037] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A exists, A and B exist simultaneously, and B exists. In addition, the character " / " in this document generally indicates that the related objects before and after it have an "or" relationship.

[0038] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0039] In the description of the embodiments of this application, the technical terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0040] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0041] Another embodiment of the present invention relates to a method for inspecting adhesive circuit printing in photovoltaic cells, which can be applied to the aforementioned photovoltaic cell adhesive circuit printing inspection equipment. The implementation details of the photovoltaic cell adhesive circuit printing inspection method according to an embodiment of the present invention are described below. The following details are provided for ease of understanding and are not essential for implementing this solution.

[0042] like Figure 4 As shown, in step 401, after the illumination component is activated, the optical imaging component takes a picture of the battery cell under test.

[0043] In step 402, the optical imaging component sends the captured image of the battery cell under test to the image processing component, and the image processing component performs adhesive path detection analysis on the image of the battery cell under test.

[0044] Specifically, step 402 includes the following sub-steps 501 to 502, such as... Figure 5 As shown:

[0045] In step 501, the optical imaging component sends the initial images of the battery cell under test captured by the four cameras to the image processing component, wherein the initial images are the original images of the battery cell under test captured by each camera.

[0046] In step 502, the image processing component receives four initial images, stitches the four initial images together, and then performs adhesive path annotation and detection analysis on the stitched image.

[0047] Specifically, in some embodiments, the initial image stitching process of the four battery cells to be tested can be performed by cropping and stitching the initial image of each battery cell to be tested according to the position of the preset template; or, according to image recognition and other technologies, the features of the initial images of each battery cell to be tested are extracted and matched, the overlapping area of ​​each initial image is calculated, and the overlapping area is cropped and then stitched together. It should be noted that those skilled in the art can flexibly adjust the specific recognition and stitching processing methods of the four initial images. For example, they can use algorithms such as SIFT and SURF to extract feature points and feature vectors with scale, rotation, and illumination invariance by detecting extreme points in the images, thereby characterizing the local features of the images; or, based on the extracted feature vectors, they can use algorithms such as Knn and FLANN to find the closest feature point pairs by calculating the distance between feature vectors (such as Euclidean distance), thereby determining the correspondence between feature points in different images and realizing the preliminary recognition and association between images; or, based on the calculated homography matrix, they can perform perspective transformation on the images, transforming the images in different quadrants to the same coordinate system according to their relative geometric relationships, so that the overlapping areas are accurately aligned in space. This application does not impose any limitations on these methods.

[0048] Specifically, the time for image processing and detection is controlled within 200ms, which is convenient to adapt to the rhythm of production detection.

[0049] In some embodiments, the process of stitching the four initial images includes: stitching the four initial images captured by the four cameras according to their corresponding positions in the four quadrants to obtain a complete image of the battery cell under test.

[0050] After stitching the four initial images together to obtain the complete image, as follows: Figure 6 As shown, the method further includes steps 601 to 603:

[0051] In step 601, grayscale values ​​are calculated on the complete image to obtain adhesive path information of the complete image of the battery cell under test.

[0052] Specifically, since the adhesive lines of the tested solar cell differ in color from the cell itself, grayscale values ​​can be calculated from the complete image, and the areas covered by the adhesive lines on the tested solar cell can be further distinguished based on these grayscale values. First, the complete image is converted to grayscale. Since the captured image is read as a color image (e.g., RGB format), and grayscale calculations are typically based on grayscale images, it is necessary to convert the color image to a grayscale image to improve the efficiency and accuracy of photovoltaic cell adhesive line detection. Second, after conversion to grayscale, each pixel has only one grayscale value, typically ranging from 0 (black) to 255 (white).

[0053] In step 602, regions in the complete image whose grayscale values ​​are greater than a preset grayscale threshold are marked to obtain a marked image.

[0054] Specifically, each pixel of the grayscale image is traversed to obtain its grayscale value. The grayscale value of each pixel is compared with a preset grayscale threshold. Pixels with values ​​greater than the preset threshold are considered areas covered by adhesive and are marked accordingly. It should be noted that the preset grayscale threshold needs to be determined based on the specific characteristics of the image and the application scenario. For example, if the image is generally bright, the grayscale threshold can be appropriately preset; if the image is dark, the preset grayscale threshold needs to be lowered. Those skilled in the art can adjust the specific methods of grayscale value calculation and annotation according to actual needs, and this application does not impose any restrictions. Figure 7 As shown, the grayscale value of the glue path in the tested solar cell is higher, while the grayscale value of the glue-deficient part is lower. Therefore, the contrast between the glue-deficient part and the glue path part of the tested solar cell is obvious, making it easier to calculate and judge the glue path coverage rate in the future.

[0055] like Figure 6 In step 603, the adhesive coverage rate of the battery cell under test is calculated based on the adhesive coverage area of ​​the labeled image.

[0056] In some embodiments, the step of annotating and analyzing the adhesive path in the stitched image includes: calculating the adhesive path coverage of the annotated image; and if the adhesive path coverage is greater than a first preset coverage threshold, the detection result of the battery cell under test is qualified.

[0057] Specifically, in some embodiments, after extracting the adhesive path region, the coverage area of ​​the adhesive path is calculated, and the coverage rate of the adhesive path is calculated based on the total area of ​​the labeled image. Further, the extraction of the adhesive path region can be achieved through edge detection, contour extraction, etc., and the coverage area of ​​the adhesive path can be calculated based on pixel statistics and area conversion. Adhesive path coverage rate = adhesive path area / total area of ​​the battery cell under test * 100%. It should be noted that those skilled in the art can calculate the adhesive path coverage rate according to specific detection requirements, and this application does not impose any limitations on this.

[0058] In some embodiments, before calculating the glue path coverage of the labeled image, pre-processing may also be performed on the labeled image, for example: performing binarization processing on the labeled image: setting the glue path portion as the foreground (white, with a value of 255) and the background as black (with a value of 0) by methods such as the global threshold method and the Otsu algorithm. A suitable threshold may be selected for the binarization operation according to the grayscale characteristics of the glue path. Alternatively, filtering and other methods may be used to remove noise in the labeled image, such as median filtering, Gaussian filtering, etc., to avoid the influence of noise on subsequent calculation; a method of first erosion and then dilation may also be used to remove small noise points and isolated pixels in the labeled image. Binarization processing or noise reduction processing on the labeled image can further simplify the complexity of coverage calculation, thereby improving the efficiency of image processing and detection.

[0059] In other embodiments, as shown in Figure 8 , said performing glue path labeling and detection analysis on the stitched image comprises:

[0060] Step 801: dividing the labeled image into a first detection area and a second detection area according to a preset template; wherein a first preset coverage threshold of the first detection area is greater than a second preset coverage threshold of the second detection area; calculating the glue path coverage of the first detection area and the second detection area in the labeled image respectively.

[0061] Step 802: determining whether the detection result of the battery chip to be tested is qualified; when the glue path coverage of the first detection area is greater than the first preset coverage threshold, and / or the glue path coverage of the second detection area is greater than the second preset coverage threshold, the detection result of the battery chip to be tested is qualified.

[0062] Specifically, when there are multiple detection areas with different coverage requirements, the size and coverage threshold of different detection areas can be set according to actual application requirements. In the actual process of coverage detection, extraction of the glue path area and calculation of the coverage area of the glue path are performed for each detection area, and the glue path coverage in the detection area is calculated according to the area of each detection area; and the detection result is determined according to whether the glue path coverage in the detection area is greater than the preset coverage threshold corresponding to the detection area. In addition, it can be understood by those skilled in the art that the number of detection areas and the preset coverage threshold of each detection area can be flexibly set according to actual application requirements, which is not limited herein in the present application.

[0063] Further, when the coverage of each detection area reaches the preset coverage threshold, the detection result of the battery chip to be tested is qualified. Alternatively, when the coverage of a preset number of detection areas reaches the preset coverage threshold, the detection result of the battery chip to be tested is qualified. It can be understood by those skilled in the art that the condition for the detection result of the battery chip to be tested to be qualified can be adjusted according to actual detection requirements, which is not limited herein in the present application.

[0064] In this embodiment of the invention, since the illumination component includes a first light source and a second light source of different types, the advantages of different types of light sources can be combined during the imaging process to improve the quality of adhesive path imaging. This prevents misjudgment of adhesive path detection caused by excessively small grayscale differences in the adhesive path due to imaging shadows caused by a single type of light source, and eliminates the need for additional equipment for supplementary lighting during the imaging process, thus improving the efficiency of adhesive path detection. At the same time, the optical imaging component is upgraded from a single camera to four cameras, with each camera corresponding to one quadrant of the battery cell. During the imaging process, each camera can capture more details of the battery cell, thereby improving the accuracy and effect of imaging, further enhancing the accuracy of adhesive path analysis and detection, reducing the misjudgment rate of battery cell printing defects, saving labor costs, and reducing the loss of battery cell inspection and selection.

[0065] It is not difficult to see that this embodiment is a method embodiment corresponding to the above-described device embodiment, and this embodiment can be implemented in conjunction with the above-described device embodiment. The relevant technical details mentioned in the above-described method embodiment are still valid in this embodiment, and will not be repeated here to reduce repetition. Correspondingly, the relevant technical details mentioned in this embodiment can also be applied to the above-described device embodiment.

[0066] The steps described above are for clarity only. In practice, they can be combined into one step or some steps can be broken down into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this patent. Adding insignificant modifications or introducing insignificant designs to the algorithm or process, but without changing the core design of the algorithm and process, are also within the scope of protection of this patent.

[0067] Furthermore, the examples mentioned in the above embodiments can be freely combined, and any combination can be understood as an embodiment. The terms "embodiment" or "example" appearing in various locations in the specification do not necessarily refer to the same embodiment, nor are they independent or alternative embodiments mutually exclusive with other embodiments. Those skilled in the art will understand that the embodiments described herein can be combined with other embodiments.

[0068] In summary, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result.

[0069] Another embodiment of the present invention relates to an electronic device, such as Figure 9As shown, it includes at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the photovoltaic cell adhesive circuit printing inspection method as described above.

[0070] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.

[0071] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.

[0072] Another embodiment of the present invention relates to a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the method embodiments described above.

[0073] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0074] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing the present invention, and in practical applications, various changes in form and detail may be made without departing from the spirit and scope of the present invention.

Claims

1. A photovoltaic cell adhesive circuit printing inspection device, characterized in that, include: Illumination components, optical imaging components, and image processing components; The lighting assembly includes a first light source and a second light source; the first light source and the second light source are light sources of different types; the first light source is attached to the optical imaging assembly, and the second light source is disposed around the optical imaging assembly; The optical imaging component includes four cameras, each corresponding to one of the four quadrants of the battery cell under test. The optical imaging component is connected to the image processing component, and the image processing component is used to perform adhesive path detection and analysis on the image of the battery cell under test captured by the optical imaging component.

2. The photovoltaic cell adhesive circuit printing inspection equipment according to claim 1, characterized in that, The first light source is a coaxial light source; the second light source is a planar array light source. The number of the first light sources is the same as the number of cameras in the optical imaging assembly, and the lens of each camera is attached to one of the first light sources. The light emitted by each first light source is on the same axis as the optical axis of the attached camera. The four cameras in the optical imaging assembly are located at the same horizontal level, and the four cameras take synchronous pictures of the battery cell under test each time.

3. The photovoltaic cell adhesive circuit printing inspection equipment according to claim 1, characterized in that, The image sensor of the camera in the optical imaging assembly has a pixel count of 20 million to 36 million.

4. The photovoltaic cell adhesive circuit printing and testing equipment according to claim 1, characterized in that, The photovoltaic cell adhesive circuit printing inspection equipment also includes mechanical motion components; The mechanical motion component has a test cell placement area and is connected to the optical imaging component; The mechanical motion component controls the movement of the battery cell under test and / or the optical imaging component based on the position of the battery cell under test captured by the optical imaging component.

5. A method for testing the adhesive circuit printing of photovoltaic cells, characterized in that, The method, applied to the photovoltaic cell adhesive circuit printing inspection equipment as described in any one of claims 1 to 4, comprises: After the lighting component is activated, the optical imaging component takes a picture of the battery cell under test. The optical imaging component captures an image of the battery cell under test and sends it to the image processing component, which then performs adhesive path detection and analysis on the image of the battery cell under test.

6. The adhesive printing detection method according to claim 5, characterized in that, The optical imaging component captures an image of the battery cell under test and sends it to the image processing component. The image processing component performs adhesive path detection analysis on the image of the battery cell under test, including: The optical imaging component sends the initial images of the battery cell under test captured by the four cameras to the image processing component; the initial images are the original images of the battery cell under test captured by each camera. The image processing component receives four initial images, stitches the four initial images together, and then performs adhesive path annotation and detection analysis on the stitched image.

7. The adhesive printing detection method according to claim 6, characterized in that, The process of stitching together the four initial images includes: Based on the positions of the four cameras in the four quadrants, the four initial images captured by the four cameras are stitched together according to their corresponding positions to obtain a complete image of the battery cell under test.

8. The adhesive printing inspection method according to claim 7, characterized in that, The grayscale value of the complete image is calculated, and the regions in the complete image with grayscale values ​​greater than a preset grayscale threshold are marked to obtain a marked image.

9. The adhesive printing detection method according to claim 8, characterized in that, The step of annotating and analyzing the glue path in the stitched image includes: calculating the glue path coverage of the annotated image; If the coverage of the adhesive path is greater than the first preset coverage threshold, the test result of the battery cell under test is qualified.

10. The adhesive printing detection method according to claim 8, characterized in that, The step of annotating and analyzing the spliced ​​image includes: dividing the annotated image into a first detection area and a second detection area according to a preset template; the first preset coverage threshold of the first detection area is greater than the second preset coverage threshold of the second detection area; Calculate the adhesive path coverage of the first and second detection areas in the labeled image, respectively; If the adhesive coverage rate in the first detection area is greater than the first preset coverage threshold, and / or the adhesive coverage rate in the second detection area is greater than the second preset coverage threshold, the test result of the battery cell under test is qualified.

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