Battery pole piece and tab width detection method, device and equipment and storage medium

By extracting the pole and pole ear areas in the lithium battery image and adaptively calculating their width, the problem of adaptation of existing detection methods to different shapes and materials is solved, and the detection efficiency and accuracy are improved.

CN119879741APending Publication Date: 2025-04-25ZHUHAI HIGRAND ELECTRONICS TECH
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Patent Information

Application Number
CN202411913357.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-24
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

The existing lithium battery pole and pole ear width detection methods are difficult to adapt to pole ears and pole ears of different shapes and materials, resulting in a decrease in detection efficiency and accuracy.

Method used

By acquiring the battery image, extracting the pole area and the pole ear area, calculating its width, and adaptive detection is adopted for image segmentation, open operation, closed operation and other technologies.

Benefits of technology

It realizes effective detection of pole ears and pole pieces of different shapes and materials, improves detection efficiency and accuracy, and promptly screens and eliminates unqualified products, improving user experience.

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Abstract

The invention discloses a battery pole piece and tab width detection method and device, equipment and a storage medium, and belongs to the technical field of battery detection, and the method comprises the steps: obtaining a plurality of target battery images; determining a pole piece area and a pole lug area of each target battery image so as to determine a pole piece width and a pole lug width in each target battery image; and according to the pole piece width and the pole lug width in the plurality of target battery images, determining a pole piece and pole lug width detection result of the target battery. By extracting the pole piece area and the pole lug area in the battery image, the widths of the pole piece and the pole lug of the battery can be automatically identified and calculated without considering the shape of the pole piece and the shape of the pole lug, the widths of the pole piece and the pole lug can be effectively and adaptively detected, unqualified products can be timely screened and rejected, the detection efficiency and accuracy are improved, and the detection cost is reduced. Therefore, the use experience of the user is effectively improved.
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Description

Technical Field

[0001] The present application relates to the field of battery detection technology, and in particular to a method, device, equipment and storage medium for detecting the width of a battery pole piece and a pole tab. Background Art

[0002] At present, in lithium battery winding intelligent manufacturing equipment, the detection accuracy and stability requirements of the tab width and pole piece width are becoming increasingly higher.

[0003] In the related art, the width of the battery pole piece and the width of the pole lug are detected in real time during the winding process so as to timely remove unqualified products. However, in actual applications, it is found that in the production process of lithium batteries, pole pieces have different specifications, different materials are attached to the pole pieces, and the pole lugs also have different shapes and sizes. Therefore, the existing detection method needs to develop different algorithms for pole pieces of different shapes and materials, which affects the efficiency and accuracy of battery pole piece and pole lug width detection.

[0004] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the invention

[0005] The embodiments of the present application provide a method, device, equipment and storage medium for detecting the width of battery pole pieces and pole tabs, which can effectively and adaptively detect the width of pole pieces and pole tabs, timely screen out and eliminate unqualified products, improve detection efficiency and accuracy, and thus effectively improve the user experience.

[0006] On the one hand, an embodiment of the present application provides a method for detecting the width of a battery pole piece and a pole lug, comprising the following steps:

[0007] Acquire multiple target battery images;

[0008] Determine the pole piece area and the pole lug area of ​​each target battery image, thereby determining the pole piece width and the pole lug width in each target battery image;

[0009] According to the pole piece widths and pole lug widths in the plurality of target battery images, the pole piece and pole lug width detection results of the target battery are determined.

[0010] Optionally, determining the pole piece area and the pole lug area of ​​each target battery image, thereby determining the pole piece width and the pole lug width in each target battery image, includes:

[0011] Converting each of the target battery images into a grayscale image;

[0012] Performing image segmentation on the grayscale image according to a first threshold interval to obtain a first target area; wherein the first target area includes a pole piece area and a pole ear area;

[0013] Extracting a pole piece area from the first target area, thereby determining a pole piece width;

[0014] Subtract the first target area from the pole piece area to obtain a second target area;

[0015] The tab area is extracted from the second target area, thereby determining the tab width.

[0016] Optionally, after converting each of the target battery images into a grayscale image, the method further includes:

[0017] Calculate the angle value of the first angle between the pole piece and the horizontal axis in the grayscale image;

[0018] Determining a rotation angle value of the grayscale image according to the angle value of the first angle; wherein the sum of the angle value of the first angle and the rotation angle value is 90 degrees;

[0019] The grayscale image is rotated counterclockwise according to the rotation angle value.

[0020] Optionally, extracting a pole piece area from the first target area to determine a pole piece width includes:

[0021] Filling holes in the first target area according to a second threshold value interval to obtain a first filled area;

[0022] Performing an opening operation on the first filling area to obtain the pole piece area;

[0023] Determining the pixel width of the pole piece region;

[0024] The pole piece width is calculated based on the pixel width and single pixel accuracy.

[0025] Optionally, extracting the tab area from the second target area to determine the tab width includes:

[0026] Performing an opening operation on the second target area to obtain a third target area;

[0027] Performing expansion and shearing operations on the third target area to obtain a fourth target area; wherein the fourth target area includes the tab area;

[0028] According to the third threshold interval, performing image segmentation and closing operation on the fourth target area to obtain a fifth target area;

[0029] Filling holes in the fifth target area to obtain a second filled area;

[0030] Performing an opening operation on the second filling area to obtain the tab area;

[0031] A measurement area is constructed, and the width of the tab is determined according to the intersection of the measurement area and the tab area.

[0032] Optionally, constructing the measurement area and determining the tab width according to the intersection of the measurement area and the tab area includes:

[0033] Determining the orientation of the pole lug according to the column coordinates of the center point of the third target area and the column coordinates of the center point of the pole piece area;

[0034] According to the first vertex and the second vertex of the tab region, a measurement region is constructed based on the orientation of the tab, a preset measurement region offset, and a measurement region width value; wherein the column coordinates and the row coordinates of the first vertex are different from the column coordinates and the row coordinates of the second vertex;

[0035] Determine an intersection area according to the intersection of the measurement area and the tab area;

[0036] The tab width is calculated based on the pixel height and single-pixel accuracy of the intersection area.

[0037] Optionally, the plurality of target battery images include a positive electrode sheet front-side image, a positive electrode sheet back-side image, a negative electrode sheet front-side image, and a negative electrode sheet back-side image;

[0038] The step of determining the detection results of the pole piece and the pole lug width of the target battery according to the pole piece width and the pole lug width in the plurality of target battery images includes:

[0039] When the electrode sheet width and the electrode tab width in all the target battery images meet the width requirements, it is determined that the electrode sheet and the electrode tab width detection results of the target battery are qualified;

[0040] When the pole piece width and the pole lug width in any of the target battery images do not meet the width requirements, it is determined that the pole piece and pole lug width detection results of the target battery are unqualified.

[0041] On the other hand, an embodiment of the present application provides a battery pole piece and pole lug width detection device, the device comprising:

[0042] An image acquisition module, used to acquire multiple target battery images;

[0043] An image acquisition module, used to determine the pole piece area and the pole lug area of ​​each target battery image, thereby determining the pole piece width and the pole lug width in each target battery image;

[0044] The image acquisition module is used to determine the detection results of the pole piece and pole lug width of the target battery according to the pole piece width and pole lug width in the multiple target battery images.

[0045] On the other hand, an embodiment of the present application provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the above-mentioned battery pole piece and pole lug width detection method when executing the computer program.

[0046] On the other hand, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned battery electrode and tab width detection method is implemented.

[0047] The embodiment of the present application extracts the pole piece area and the pole lug area in the battery image, thereby automatically identifying and calculating the width of the battery pole piece and the pole lug without considering the shape of the pole piece and the pole lug. It can effectively and adaptively detect the width of the pole piece and the pole lug, timely screen out and eliminate unqualified products, improve detection efficiency and accuracy, and thus effectively improve the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of an implementation environment of a battery pole piece and pole lug width detection method provided in an embodiment of the present application;

[0049] Figure 2 It is a flow chart of a method for detecting the width of a battery pole piece and a pole lug provided in an embodiment of the present application;

[0050] Figure 3 is a schematic diagram of a grayscale image of a battery electrode and a pole ear provided in an embodiment of the present application;

[0051] Figure 4 is a schematic diagram of a measurement area and a tab area provided in an embodiment of the present application;

[0052] Figure 5 It is a structural schematic diagram of a battery pole piece and pole lug width detection device provided in an embodiment of the present application;

[0053] Figure 6 It is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are only examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.

[0055] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".

[0056] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0058] At present, in lithium battery winding intelligent manufacturing equipment, the detection accuracy and stability requirements of the tab width and pole piece width are becoming increasingly higher.

[0059] In the related art, the width of the battery pole piece and the width of the pole lug are detected in real time during the winding process so as to timely remove unqualified products. However, in actual applications, it is found that in the production process of lithium batteries, pole pieces have different specifications, different materials are attached to the pole pieces, and the pole lugs also have different shapes and sizes. Therefore, the existing detection method needs to develop different algorithms for pole pieces of different shapes and materials, which affects the efficiency and accuracy of battery pole piece and pole lug width detection.

[0060] In view of this, a battery pole piece and lug width detection method, device, equipment and storage medium are provided in the embodiments of the present application. By extracting the pole piece area and lug area in the battery image, the battery pole piece and lug width are automatically identified and calculated without considering the pole piece shape and the lug shape. The width of the pole piece and the lug can be effectively and adaptively detected, and defective products can be screened out and eliminated in time, thereby improving the detection efficiency and accuracy, thereby effectively improving the user experience.

[0061] The specific implementation of the embodiment of the present application is described in detail below in conjunction with the accompanying drawings. First, a battery pole piece and pole tab width detection method provided in the embodiment of the present application is described in conjunction with the accompanying drawings.

[0062] Please refer to Figure 1 , Figure 1 1 is a schematic diagram of an implementation environment of a battery pole piece and pole lug width detection method provided in an embodiment of the present application. In the implementation environment, the main software and hardware entities involved include a terminal processor 110 and a server 120.

[0063] Specifically, the terminal processor 110 may be installed with a relevant battery pole piece and tab width detection method control program, and the server 120 is the background server of the control program. The terminal processor 110 and the background server 120 are connected in communication. The battery pole piece and tab width detection method provided in the embodiment of the present application can be executed on the terminal processor 110 side.

[0064] Server 120 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. It can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), as well as big data and artificial intelligence platforms.

[0065] In addition, the server 120 may also be a node server in the blockchain network.

[0066] The terminal processor 110 and the server 120 may establish a communication connection through a wireless network. The wireless network uses standard communication technology and / or protocols, and the network may be set to the Internet, or any other network, such as but not limited to a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile, or any combination of a wireless network, a private network, or a virtual private network. Moreover, the above-mentioned software and hardware entities may use the same communication connection mode or different communication connection modes, and this application does not impose any specific restrictions on this.

[0067] Of course, it is understandable that Figure 1 The implementation environment in the embodiment of the present application is only some optional application scenarios of the battery pole piece and pole ear width detection method provided in the embodiment of the present application, and the actual application is not fixed. Figure 1 The software and hardware environment shown is not specifically limited in this application.

[0068] like Figure 2 As shown, Figure 2 It is a flow chart of a battery pole piece and pole lug width detection method provided in an embodiment of the present application, which specifically includes but is not limited to steps S100 to S300.

[0069] Step S100: Acquire multiple target battery images.

[0070] In the embodiment of the present application, a plurality of target battery images can be obtained by setting a shooting position to shoot the target battery. The shooting position can be composed of a color array industrial camera, an industrial lens, a coaxial light source, a black background plate and a mounting bracket, and the distance and angle of the camera relative to the pole piece can be quickly and conveniently adjusted through the mounting bracket.

[0071] Therefore, when the battery pole pieces and tabs are conveyed to the preset shooting points by the conveyor belt, the industrial camera is triggered to shoot, thereby obtaining a target battery image containing the pole pieces and tabs, and the image can be transmitted to the industrial computer for subsequent processing.

[0072] Step S200: Determine the electrode sheet area and the electrode tab area of ​​each target battery image, thereby determining the electrode sheet width and the electrode tab width in each target battery image.

[0073] In an embodiment of the present application, after acquiring the target battery image, there is no need to further identify information such as the shape of the pole piece and the shape and size of the pole lug. The pole piece area and the pole lug area can be directly extracted, and the pole piece width can be further determined based on the pole piece area, and the pole lug width can be determined based on the pole lug area.

[0074] Specifically, in an optional implementation, determining the pole piece area and the pole lug area of ​​each target battery image, thereby determining the pole piece width and the pole lug width in each target battery image, includes:

[0075] Converting each of the target battery images into a grayscale image;

[0076] Performing image segmentation on the grayscale image according to a first threshold interval to obtain a first target area; wherein the first target area includes a pole piece area and a pole ear area;

[0077] Extracting a pole piece area from the first target area, thereby determining a pole piece width;

[0078] Subtract the first target area from the pole piece area to obtain a second target area;

[0079] The tab area is extracted from the second target area, thereby determining the tab width.

[0080] In an embodiment of the present application, for each acquired target battery image, the image can be further processed and converted into a grayscale image, and the converted grayscale image can be segmented according to a first threshold interval, thereby converting the image into a binary image so that the target area and the background area are separated.

[0081] In practical applications, the grayscale value range of an 8-channel image is [0, 255]. By setting a black light absorption step as the shooting environment, the grayscale value of the background area in the grayscale image can be generally 1-5. Therefore, the first threshold interval can be set to a minimum threshold of 20 and a maximum threshold of 255. That is to say, the grayscale value in the area of ​​[20, 255] will be retained.

[0082] Of course, it is understandable that the first threshold interval can be set according to the actual scenario application requirements, and this application does not make any specific restrictions on this.

[0083] Furthermore, by performing image segmentation on the grayscale image, after obtaining the first target area, the pole piece area can be further extracted from the first target area to determine the pole piece width, and the first target area is subtracted from the pole piece area to obtain the second target area, and the pole lug area is extracted from the second target area to determine the pole lug width.

[0084] Specifically, as an optional implementation, after converting each of the target battery images into a grayscale image, the method further includes:

[0085] Calculate the angle value of the first angle between the pole piece and the horizontal axis in the grayscale image;

[0086] Determining a rotation angle value of the grayscale image according to the angle value of the first angle; wherein the sum of the angle value of the first angle and the rotation angle value is 90 degrees;

[0087] The grayscale image is rotated counterclockwise according to the rotation angle value.

[0088] In an embodiment of the present application, after the target battery image is converted into a grayscale image, the grayscale image may be further preprocessed to ensure that the pole pieces in the grayscale image are in a uniform vertical direction.

[0089] Specifically, first determine the angle value of the first angle between the pole piece and the horizontal axis in the grayscale image. This can be done by identifying the edge straight line of the pole piece and calculating the angle between the edge straight line of the pole piece and the horizontal horizontal axis X-axis as the first angle. The angle value of the first angle is relative to the horizontal horizontal axis X-axis, with counterclockwise being positive and clockwise being negative.

[0090] Furthermore, by setting the sum of the angle value of the first angle and the rotation angle value to 90 degrees, it can be ensured that the pole piece is in a uniform vertical direction after the image is rotated, so as to better identify and extract the pole piece area and the pole ear area, and therefore the rotation angle value of the grayscale image can be calculated and determined according to the angle value of the first angle. Exemplarily, when the angle value of the first angle is determined to be 20°, the rotation angle value of the grayscale image can be determined to be 70°; when the angle value of the first angle is determined to be -5°, the rotation angle value of the grayscale image can be determined to be 95°.

[0091] Finally, the grayscale image is rotated counterclockwise according to the rotation angle value.

[0092] For example, see Figure 3 , Figure 3 is a schematic diagram of a grayscale image of a battery pole piece and a pole ear provided in an embodiment of the present application. When the grayscale image is rotated counterclockwise according to the rotation angle value determined by calculation, it can be obtained from Figure 3 As can be seen in the figure, the pole pieces will be rotated to a uniform vertical direction.

[0093] Specifically, as an optional implementation, extracting the pole piece area from the first target area to determine the pole piece width includes:

[0094] Filling holes in the first target area according to a second threshold value interval to obtain a first filled area;

[0095] Performing an opening operation on the first filling area to obtain the pole piece area;

[0096] Determining the pixel width of the pole piece region;

[0097] The pole piece width is calculated based on the pixel width and single pixel accuracy.

[0098] In an embodiment of the present application, when the pole piece area is extracted from the first target area, the first target area can first be hole-filled according to the second threshold interval, wherein hole filling refers to filling the missing area in the image due to occlusion, scanning error or other reasons, and small holes can be filled by using dilation and erosion operations. The second threshold interval can be set according to the specific usage scenario requirements. The present application does not impose specific restrictions on this. For example, the second threshold interval can be set to [1,8000], then the holes whose hole area (number of pixels) is within the range of 1 to 8000 will be filled, and other holes outside the range will not be filled.

[0099] Furthermore, an opening operation is performed on the first filling area after the filling is completed. The opening operation is a morphological operation in the field of image processing, which can remove small noise points, smooth boundaries and separate areas, and the structural element is a key parameter in the morphological operation. When the opening operation is performed on the first filling area after filling, a rectangular structural element can be used, wherein the width of the rectangular structural element can be set to 1 pixel, and the height can be set to 0.6 times the image height (for example, when the image height is 100 pixels, the height of the rectangular structural element is 60 pixels). After the opening operation is performed using the rectangular structural element, the image can be morphologically opened in the vertical direction, and the noise interference caused by the pole ears with a height less than 0.6 times the image height and some background light-absorbing cloth can be effectively removed and filtered out from the first filling area, and there is no need to consider the shape and size of the pole ears to achieve the result that the pole piece area is left after the opening operation.

[0100] Furthermore, since the pole piece is in a unified vertical direction, the pole piece width can be calculated by determining the pixel width of the pole piece area and combining it with the single pixel precision, where the pole piece width is the value of the product of the pixel width of the pole piece area and the single pixel precision.

[0101] Specifically, as an optional implementation, extracting the tab area from the second target area to determine the tab width includes:

[0102] Performing an opening operation on the second target area to obtain a third target area;

[0103] Performing expansion and shearing operations on the third target area to obtain a fourth target area; wherein the fourth target area includes the tab area;

[0104] According to the third threshold interval, performing image segmentation and closing operation on the fourth target area to obtain a fifth target area;

[0105] Filling holes in the fifth target area to obtain a second filled area;

[0106] Performing an opening operation on the second filling area to obtain the tab area;

[0107] A measurement area is constructed, and the width of the tab is determined according to the intersection of the measurement area and the tab area.

[0108] In an embodiment of the present application, after determining the pole piece area, the first target area can be subtracted from the pole piece area to obtain a second target area. An opening operation can be performed on the second target area. A rectangular structure element can be used, and the width of the rectangular structure element is set to 80 pixels and the height is set to 1 pixel, thereby obtaining a rough pole ear area, that is, the third target area.

[0109] Furthermore, the third target region is expanded by using a rectangular structure element with a width and a height of 60 pixels, and the expanded third target region is sheared to obtain a fourth target region including the tab.

[0110] In practical applications, the fourth target area is segmented according to a pre-set third threshold interval (for example, the grayscale minimum threshold can be set to 160 and the grayscale maximum threshold can be set to 255), and then the segmented fourth target area is closed, wherein a rectangular structure element with a width of 30 pixels and a height of 1 pixel can be used to obtain the fifth target area. Furthermore, the fifth target area is hole-filled to obtain a second filling area, and the second filling area is opened to obtain the lug area. When the second filling area is opened, a circular structure element can be used. Optionally, the circular structure element can be set to a radius of 20.5 pixels, which can be compatible with circular lugs, square lugs, and lugs in a shape that combines square and circular shapes, thereby realizing adaptive detection of lug width.

[0111] Since the tabs are often covered with some adhesive and are prone to noise interference such as oxidation and dirt, some small holes and broken edges can be connected through closing operations to form a complete tab outline.

[0112] Furthermore, in order to accurately measure the width of the tab, a measurement area may be constructed, and the height of the measurement area is greater than the height of the tab area. The tab width may be calculated by determining the intersection area of ​​the measurement area and the tab area.

[0113] Specifically, as an optional implementation, the constructing of the measurement area and determining the width of the tab according to the intersection of the measurement area and the tab area includes:

[0114] Determining the orientation of the pole lug according to the column coordinates of the center point of the third target area and the column coordinates of the center point of the pole piece area;

[0115] According to the first vertex and the second vertex of the tab region, a measurement region is constructed based on the orientation of the tab, a preset measurement region offset, and a measurement region width value; wherein the column coordinates and the row coordinates of the first vertex are different from the column coordinates and the row coordinates of the second vertex;

[0116] Determine an intersection area according to the intersection of the measurement area and the tab area;

[0117] The tab width is calculated based on the pixel height and single-pixel accuracy of the intersection area.

[0118] In the embodiment of the present application, when constructing the measurement area, the direction of the pole ear relative to the pole piece is first determined. Specifically, the center point of the pole ear can be determined by determining the column coordinates of the center point of the third target area, the center point of the pole piece can be determined by determining the column coordinates of the center point of the pole piece area, and then the direction of the pole ear can be determined by comparing the column coordinates of the center point of the third target area with the column coordinates of the center point of the pole piece area. Exemplarily, when the column coordinates of the center point of the third target area are smaller than the column coordinates of the center point of the pole piece area, it can be determined that in the grayscale image, the direction of the pole ear is leftward.

[0119] For example, see Figure 4 , Figure 4 It is a schematic diagram of a measurement area and a tab area provided in an embodiment of the present application, and the orientation of the tab in the grayscale image is toward the left.

[0120] Further, according to the first vertex and the second vertex of the tab region, based on the orientation of the tab, the preset offset of the measurement region and the width of the measurement region, a measurement region is constructed, such as Figure 4 As shown, the tab region is generally a rectangular region, and the first vertex and the second vertex are two vertices on the same diagonal line of the tab region, for example Figure 4 The upper left corner vertex of the middle tab region is the first vertex, and the lower right corner vertex of the tab region is the second vertex. By determining the row and column coordinates of the first vertex and the second vertex, a unique rectangular region can be defined.

[0121] Furthermore, if Figure 4 As shown, the measurement area offset refers to the offset distance of the measurement area relative to the exposed edge of the tab, and the measurement area width is the width value of the measurement area. The measurement area offset and the measurement area width can be set according to the specific application scenario requirements, and this application does not impose specific restrictions on this. By determining the tab orientation, it can be determined whether the first vertex or the second vertex is selected as the exposed edge of the tab. For example, Figure 4As shown, the upper left vertex of the tab area is the first vertex, the lower right vertex of the tab area is the second vertex, and the tab is oriented to the left, so the first vertex can be determined as the exposed edge of the tab. The center axis of the measuring area is determined by offsetting from the first vertex according to the preset measuring area offset, and according to the preset measuring area width value, the Figure 4 In the measurement area shown in , the height value of the measurement area only needs to be ensured to be greater than the height value of the tab area.

[0122] Finally, the intersection of the measurement area and the tab area is determined to obtain the intersection area. The pixel height of the intersection area corresponds to the pixel width of the tab area. The tab width can be determined by calculating the product of the pixel height of the intersection area and the single-pixel precision.

[0123] Therefore, in the embodiments of the present application, for pole pieces and pole lugs of different shapes, they can be converted into grayscale images, and then through image segmentation, opening operation, closing operation and other image processing operations, the pole piece area and the pole lug area can be identified and extracted, and the pole piece width and the pole lug width can be calculated according to the pixel width value and single pixel accuracy. Among them, the various threshold intervals adopted can be adaptively set according to the specific usage scenario requirements, which can effectively ensure the accuracy and stability of the battery pole piece and pole lug width detection.

[0124] In addition, the embodiment of the present application can also calculate the image rotation angle value through the angle between the pole piece and the horizontal axis, which can ensure that the measurement position is relatively consistent, making the measurement value more objective and accurate.

[0125] Step S300: Determine the detection results of the width of the pole piece and the width of the pole piece of the target battery according to the width of the pole piece and the width of the pole piece in the plurality of target battery images.

[0126] In an embodiment of the present application, after calculating and determining the pole piece width and the pole lug width in the target battery image, it is possible to judge whether the pole piece and the pole lug width are qualified based on whether the pole piece width and the pole lug width are within the set range, thereby determining the pole piece and the pole lug width detection results of the target battery, so as to facilitate timely screening and elimination of unqualified products.

[0127] Specifically, as an optional implementation, the plurality of target battery images include a positive electrode sheet front side shot image, a positive electrode sheet back side shot image, a negative electrode sheet front side shot image, and a negative electrode sheet back side shot image;

[0128] The step of determining the detection results of the pole piece and the pole lug width of the target battery according to the pole piece width and the pole lug width in the plurality of target battery images includes:

[0129] When the electrode sheet width and the electrode tab width in all the target battery images meet the width requirements, it is determined that the electrode sheet and the electrode tab width detection results of the target battery are qualified;

[0130] When the pole piece width and the pole lug width in any of the target battery images do not meet the width requirements, it is determined that the pole piece and pole lug width detection results of the target battery are unqualified.

[0131] In an embodiment of the present application, four shooting stations can be set up, and the four shooting stations are respectively used to shoot the front side of the positive electrode sheet, the back side of the positive electrode sheet, the front side of the negative electrode sheet and the back side of the negative electrode sheet of the target battery, so that the front side image of the positive electrode sheet, the back side image of the positive electrode sheet, the front side image of the negative electrode sheet and the back side image of the negative electrode sheet of the target battery can be obtained.

[0132] Furthermore, for the four target battery images obtained above, namely, the positive electrode sheet front side image, the positive electrode sheet back side image, the negative electrode sheet front side image and the negative electrode sheet back side image, the corresponding electrode sheet width and electrode lug width are calculated and determined respectively.

[0133] When the pole piece width and the pole lug width in all target battery images meet the width requirements, the pole piece and the pole lug width detection results of the target battery are determined to be qualified; when the pole piece width and the pole lug width in any target battery image do not meet the width requirements, the pole piece and the pole lug width detection results of the target battery are determined to be unqualified.

[0134] Therefore, the present application performs double-sided photography and inspection on the positive and negative electrodes to better adapt to possible curling of the electrodes, and through multiple inspections of multiple captured images, it can better ensure the quality of battery electrode and lug width inspection.

[0135] Of course, it is understandable that the above-mentioned setting of the number of target battery images and the judgment criteria for the detection results of the pole piece and the pole lug width of the target battery are just some optional implementation schemes provided in the embodiments of the present application. The actual application is not fixed to the implementation scheme shown in the above embodiments, and the present application does not impose specific restrictions on this.

[0136] Below, in conjunction with the specific application implementation process, the telephone state identification method provided in this application is described in detail and explained:

[0137] In an embodiment of the present application, a battery pole piece and tab width detection method is provided, which can be applied to the detection scenario of the pole piece width and tab width of the battery chip. By extracting the pole piece area and tab area in the battery image, the battery pole piece and tab width can be automatically identified and calculated without considering the pole piece shape and the tab shape. The pole piece and tab width can be effectively and adaptively detected, and unqualified products can be screened and removed in time, thereby improving the detection efficiency and accuracy, thereby effectively improving the user experience.

[0138] Specifically, a plurality of target battery images can be acquired by setting a shooting position to shoot the target battery. The shooting position can be composed of a color array industrial camera, an industrial lens, a coaxial light source, a black background plate, and a mounting bracket. For example, four shooting positions can be set, and the four shooting positions are used to shoot the positive electrode sheet front side, the positive electrode sheet back side, the negative electrode sheet front side, and the negative electrode sheet back side of the target battery, respectively, so that the positive electrode sheet front side image, the positive electrode sheet back side image, the negative electrode sheet front side image, and the negative electrode sheet back side image of the target battery can be obtained.

[0139] Furthermore, for each acquired target battery image, further image processing can be performed to convert it into a grayscale image, and the converted grayscale image can be segmented according to the first threshold interval, so that the image can be converted into a binary image, so that the target area and the background area are separated, and then the angle value of the first angle between the pole piece and the horizontal axis in the grayscale image is determined. This can be done by identifying the edge straight line of the pole piece and calculating the angle between the edge straight line of the pole piece and the horizontal horizontal axis X-axis as the first angle. By setting the sum of the angle value of the first angle and the rotation angle value to 90 degrees, it can be ensured that the pole piece is in a unified vertical direction after the image is rotated, so as to better identify and extract the pole piece area and the pole lug area. Therefore, the rotation angle value of the grayscale image can be calculated based on the angle value of the first angle, and the grayscale image is rotated counterclockwise based on the rotation angle value.

[0140] Furthermore, holes are filled in the first target area according to the second threshold interval, and an opening operation is performed on the first filled area after filling to remove small noise points, smooth boundaries and separated areas, leaving the pole area, and the pole width is calculated by determining the pixel width of the pole area and combining it with single-pixel precision.

[0141] Furthermore, after determining the pole piece area, the first target area can be subtracted from the pole piece area to obtain the second target area. The second target area can be opened by using a rectangular structure element, and the width of the rectangular structure element is set to 80 pixels and the height is set to 1 pixel, thereby obtaining a rough pole ear area, i.e., the third target area. The third target area can be expanded by using a rectangular structure element with a width and height of 60 pixels. The expanded third target area can be sheared to obtain the fourth target area containing the pole ear.

[0142] Finally, the center point of the pole lug is determined by determining the column coordinates of the center point of the third target area, the center point of the pole piece is determined by determining the column coordinates of the center point of the pole piece area, and the orientation of the pole lug is determined by comparing the column coordinates of the center point of the third target area with the column coordinates of the center point of the pole piece area. According to the first vertex and the second vertex of the pole lug area, based on the orientation of the pole lug, the preset measurement area offset and the measurement area width value, a measurement area is constructed, and the intersection of the measurement area and the pole lug area is determined to obtain the intersection area. The pixel height of the intersection area corresponds to the pixel width of the pole lug area. The pole lug width can be determined by calculating the value of the product of the pixel height of the intersection area and the single-pixel precision.

[0143] When the pole piece width and the pole lug width in all target battery images meet the width requirements, the pole piece and the pole lug width detection results of the target battery are determined to be qualified; when the pole piece width and the pole lug width in any target battery image do not meet the width requirements, the pole piece and the pole lug width detection results of the target battery are determined to be unqualified.

[0144] See also Figure 5 , Figure 5 is a schematic diagram of the structure of a battery pole piece and pole tab width detection device provided in an embodiment of the present application. The present application also provides a battery pole piece and pole tab width detection device 500, which can implement the above-mentioned battery pole piece and pole tab width detection method, and the device includes:

[0145] An image acquisition module 510 is used to acquire multiple target battery images;

[0146] A width determination module 520, used to determine the electrode sheet area and the electrode tab area of ​​each target battery image, thereby determining the electrode sheet width and the electrode tab width in each target battery image;

[0147] The width detection module 530 is used to determine the detection results of the width of the pole piece and the pole lug of the target battery according to the pole piece width and the pole lug width in the multiple target battery images.

[0148] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0149] Please refer to Figure 6 , Figure 6 : is a hardware structure diagram of an electronic device provided in an embodiment of the present application, the electronic device includes:

[0150] The processor 601 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0151] The memory 602 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 602 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 602, and the processor 601 calls and executes the battery pole piece and pole ear width detection method of the embodiment of this application;

[0152] Input / output interface 603, used to implement information input and output;

[0153] Communication interface 604, used to realize communication interaction between the device and other devices, which can be realized by wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.);

[0154] Bus 605 , which transmits information between various components of the device (e.g., processor 601 , memory 602 , input / output interface 603 , and communication interface 604 );

[0155] The processor 601 , the memory 602 , the input / output interface 603 and the communication interface 604 are connected to each other in communication within the device via a bus 605 .

[0156] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned battery pole piece and pole lug width detection method is implemented.

[0157] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiments, the functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0158] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0159] The battery pole piece and lug width detection method, device, equipment and storage medium provided in the embodiments of the present application automatically identify and calculate the battery pole piece and lug width by extracting the pole piece area and lug area in the battery image without considering the pole piece shape and the lug shape. It can effectively and adaptively detect the width of the pole piece and the lug, timely screen out and eliminate defective products, improve detection efficiency and accuracy, and thus effectively improve the user experience.

[0160] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0161] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0162] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0163] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0164] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0165] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0166] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0167] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0168] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0169] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0170] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A method for detecting the width of a battery pole piece and a pole lug, characterized in that: The method comprises the following steps: Acquire multiple target battery images; Determine the pole piece area and the pole lug area of ​​each target battery image, thereby determining the pole piece width and the pole lug width in each target battery image; According to the pole piece widths and pole lug widths in the plurality of target battery images, the pole piece and pole lug width detection results of the target battery are determined.

2. The battery pole piece and pole tab width detection method according to claim 1, characterized in that: Determining the pole piece area and the pole lug area of ​​each target battery image, thereby determining the pole piece width and the pole lug width in each target battery image, includes: Converting each of the target battery images into a grayscale image; Performing image segmentation on the grayscale image according to a first threshold interval to obtain a first target area; wherein the first target area includes a pole piece area and a pole ear area; Extracting a pole piece area from the first target area, thereby determining a pole piece width; Subtract the first target area from the pole piece area to obtain a second target area; The tab area is extracted from the second target area, thereby determining the tab width.

3. The battery pole piece and pole tab width detection method according to claim 2, characterized in that: After converting each of the target battery images into a grayscale image, the method further includes: Calculate the angle value of the first angle between the pole piece and the horizontal axis in the grayscale image; Determining a rotation angle value of the grayscale image according to the angle value of the first angle; wherein the sum of the angle value of the first angle and the rotation angle value is 90 degrees; The grayscale image is rotated counterclockwise according to the rotation angle value.

4. The battery pole piece and pole tab width detection method according to claim 2, characterized in that: The step of extracting a pole piece region from the first target region to determine a pole piece width includes: Filling holes in the first target area according to a second threshold value interval to obtain a first filled area; Performing an opening operation on the first filling area to obtain the pole piece area; Determining the pixel width of the pole piece region; The pole piece width is calculated based on the pixel width and single pixel accuracy.

5. The battery pole piece and pole tab width detection method according to claim 2, characterized in that: The step of extracting the tab area from the second target area to determine the tab width includes: Performing an opening operation on the second target area to obtain a third target area; Performing expansion and shearing operations on the third target area to obtain a fourth target area; wherein the fourth target area includes the tab area; According to the third threshold interval, performing image segmentation and closing operation on the fourth target area to obtain a fifth target area; Filling holes in the fifth target area to obtain a second filled area; Performing an opening operation on the second filling area to obtain the tab area; A measurement area is constructed, and the width of the tab is determined according to the intersection of the measurement area and the tab area.

6. The battery pole piece and pole lug width detection method according to claim 5, characterized in that: The step of constructing a measurement region and determining a width of the tab according to an intersection of the measurement region and the tab region comprises: Determining the orientation of the pole lug according to the column coordinates of the center point of the third target area and the column coordinates of the center point of the pole piece area; According to the first vertex and the second vertex of the tab region, a measurement region is constructed based on the orientation of the tab, a preset measurement region offset, and a measurement region width value; wherein the column coordinates and the row coordinates of the first vertex are different from the column coordinates and the row coordinates of the second vertex; Determine an intersection area according to the intersection of the measurement area and the tab area; The tab width is calculated based on the pixel height and single-pixel accuracy of the intersection area.

7. The battery pole piece and pole tab width detection method according to claim 1, characterized in that: The plurality of target battery images include a positive electrode sheet front side shot image, a positive electrode sheet back side shot image, a negative electrode sheet front side shot image, and a negative electrode sheet back side shot image; The step of determining the detection results of the pole piece and the pole lug width of the target battery according to the pole piece width and the pole lug width in the plurality of target battery images includes: When the electrode sheet width and the electrode tab width in all the target battery images meet the width requirements, it is determined that the electrode sheet and the electrode tab width detection results of the target battery are qualified; When the pole piece width and the pole lug width in any of the target battery images do not meet the width requirements, it is determined that the pole piece and pole lug width detection results of the target battery are unqualified.

8. A battery pole piece and pole lug width detection device, characterized in that: The device comprises: An image acquisition module, used to acquire multiple target battery images; A width determination module, used to determine the pole piece area and the pole lug area of ​​each target battery image, thereby determining the pole piece width and the pole lug width in each target battery image; The width detection module is used to determine the detection results of the width of the pole piece and the pole lug of the target battery according to the pole piece width and the pole lug width in the multiple target battery images.

9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the battery pole piece and pole lug width detection method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the battery pole piece and pole tab width detection method described in any one of claims 1 to 7 is implemented.

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