Coating misalignment detection method and apparatus, computer device, and storage medium

Abstract

A coating misalignment detection method and apparatus, a computer device, and a storage medium. The coating misalignment detection method comprises: acquiring a coating type of an electrode sheet base material, and determining the number of reference edges on the basis of the coating type (S202); when there are two reference edges, determining a target reference edge corresponding to the edge of each coating area of the electrode sheet base material (S204); determining data on a first distance from the edge of a coating region on a first surface of the electrode sheet base material to the corresponding target reference edge, and data on a second distance from the edge of a coating region on a second surface of the electrode sheet base material to the corresponding target reference edge (S206); and determining a coating misalignment amount of the electrode sheet base material in the coating process on the basis of the first distance data and the second distance data (S208). The use of the method can reduce interference generated by blank regions on the surface of the electrode sheet base material during coating misalignment detection, thereby effectively improving the accuracy of coating misalignment detection.

Description

Coating misalignment detection method, device, computer equipment and storage medium

[0001] Cross-references

[0002] This application refers to Chinese Patent Application No. 2024101759855, filed on February 8, 2024, entitled “Coating misalignment detection method, device, computer equipment and storage medium”, which is incorporated into this application in its entirety by reference. Technical Field

[0003] The present application relates to the field of battery manufacturing technology, and in particular to a coating misalignment detection method, device, computer equipment and storage medium. Background Art

[0004] The battery coating process is one of the most cutting-edge and important processes in battery production. During the coating process, the stability, uniformity, size, etc. of the coating will affect the final performance of the battery.

[0005] During continuous coating, the electrode may deviate due to mechanical errors in the coating equipment, guide roller errors, vibrations, and fluctuations in the electrode tension, resulting in misalignment of the coating films on both sides of the electrode during the coating process, which in turn seriously affects the performance of the battery and increases the production cost of the battery.

[0006] In some cases, the commonly used coating misalignment detection method usually only considers the regional misalignment between the coating areas, and simply determines the difference between the coating areas of the electrode. This can easily cause the detection results to be interfered with by, for example, blank areas, thereby reducing the accuracy of the detection results.

[0007] Summary of the Invention

[0008] Based on this, it is necessary to provide a coating misalignment detection method, device, computer equipment, computer-readable storage medium and computer program product that can improve the accuracy of coating misalignment detection in order to address the above technical problems.

[0009] In a first aspect, the present application provides a coating misalignment detection method, the method comprising:

[0010] Obtain the coating type of the electrode substrate and determine the number of reference edges based on the coating type;

[0011] In the case of one-out-two coating type, the number of reference edges is determined to be one;

[0012] When the coating type is not one-out-two type, the number of reference sides is determined to be two;

[0013] When there are two reference edges, determine the target reference edges corresponding to the edges of each coating area of ​​the electrode substrate;

[0014] Determining first distance data from an edge of a coating region on a first surface of the electrode substrate to a corresponding target reference edge, and second distance data from an edge of a coating region on a second surface of the electrode substrate to a corresponding target reference edge;

[0015] The coating misalignment amount of the electrode substrate during the coating process is determined according to the first distance data and the second distance data.

[0016] In the above embodiment, when performing coating misalignment detection, the number of reference edges that conform to the actual coating situation of the electrode substrate is determined according to the coating type of the electrode substrate, so that the corresponding target reference edges can be determined for the edges of each coating area of ​​the electrode substrate according to the actual situation of the edges of each coating area of ​​the electrode substrate. Distance data is obtained by performing distance detection between the edges of each coating area and their corresponding target reference edges that conform to the actual coating situation. The coating misalignment amount of the electrode substrate is subsequently determined based on the distance data. This can reduce the interference caused by the blank area on the surface of the electrode substrate during the coating misalignment detection process, thereby effectively improving the accuracy of the coating misalignment detection.

[0017] In some embodiments, when there are two reference edges, determining the target reference edges corresponding to the edges of each coating region of the electrode substrate includes:

[0018] Acquire multiple sets of coating region edge pairs of the electrode substrate, the coating region edge pairs comprising a first coating region edge and a second coating region edge that are located on different surfaces of the electrode substrate and are opposite to each other;

[0019] Determine the edge distances from the edge of the first coating area and the edge of the second coating area to the two reference edges respectively;

[0020] The reference edge corresponding to the minimum edge distance is determined as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

[0021] In the above embodiment, by dividing the electrode substrate into multiple groups of coating area edge pairs, and determining the reference edge that has the minimum edge distance from the coating area edge in the coating area edge pair as the common target reference edge of the coating area edge pair, the accuracy and stability of the coating misalignment amount calculation can be improved when calculating the coating misalignment amount, and the probability of distance detection errors due to different selected reference edges can be reduced.

[0022] In some embodiments, determining the reference edge corresponding to the minimum edge distance as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair includes:

[0023] Arrange the distances from the edge of the first coating area and the edge of the second coating area to the two reference edges in ascending order;

[0024] The reference edge corresponding to the leading edge distance is determined as the target reference edge corresponding to the first coating region edge and the second coating region edge in the coating region edge pair.

[0025] In the above embodiment, by sorting the edge distances from the edge of the first coating area and the edge of the second coating area to the two reference edges in ascending order, the minimum edge distance can be quickly determined from multiple edge distances, effectively improving the efficiency and accuracy of determining the target reference edge.

[0026] In some embodiments, determining the reference edge corresponding to the minimum edge distance as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair includes:

[0027] Calculating first average edge distances from the edge of the first coating region and the edge of the second coating region to the first reference edge, and second average edge distances from the edge of the first coating region and the edge of the second coating region to the second reference edge respectively;

[0028] The first average edge distance and the second average edge distance are compared, and a reference edge corresponding to the minimum average edge distance is determined as a target reference edge corresponding to the first coating film area edge and the second coating film area edge in the coating film area edge pair.

[0029] In the above embodiment, by determining the first average edge distance from the edge of the first coating area and the edge of the second coating area to the first reference edge, and the second average edge distance from the edge of the first coating area and the edge of the second coating area to the second reference edge, and determining the minimum average edge distance based on the first average edge distance and the second average edge distance, the reference edge corresponding to the minimum average edge distance is determined as the target reference edge. In the process of determining the target reference edge, the influence of the edge distance calculation error can be further eliminated, thereby improving the accuracy of determining the target reference edge.

[0030] In some embodiments, determining the edge distances from the edge of the first coating region and the edge of the second coating region to the two reference edges, respectively, includes:

[0031] Acquire first image data obtained by collecting images of the first surface of the electrode substrate, and second image data obtained by collecting images of the second surface of the electrode substrate;

[0032] Determining edge position information of an edge of the first coating region and an edge of the second coating region, and reference edge position information of two reference edges based on the first image data and the second image data;

[0033] Based on the edge position information and the reference edge position information, the edge distances from the edge of the first coating film area and the edge of the second coating film area to the two reference edges are determined.

[0034] In the above embodiment, the first image data and the second image data are obtained by image acquisition, and the controller can quickly determine the edge position information representing the edge position of each coating area edge and the reference edge position information representing the position of two reference edges based on the first image data and the second image data. Then, the edge distance from the edge of the first coating area and the edge of the second coating area to the two reference edges is quickly determined based on the obtained edge position information and the reference edge position information, thereby effectively improving the determination rate and accuracy of the edge distance, and thereby improving the accuracy and efficiency of coating misalignment detection.

[0035] In some embodiments, obtaining a plurality of coating region edge pairs of a pole piece substrate includes:

[0036] Determining a plurality of image combination pairs based on first image data obtained by image acquisition of the first surface of the electrode substrate and second image data obtained by image acquisition of the second surface of the electrode substrate, wherein the image combination pairs include the first image and the second image having the same acquisition area position;

[0037] Performing image edge alignment processing on the first image and the second image;

[0038] Based on the aligned first and second images, the edge of the first coating region in the first image is matched with the edge of the second coating region in the second image to obtain multiple sets of coating region edge pairs corresponding to each image combination pair.

[0039] In the above embodiment, by combining the first image and the second image with the same acquisition area position into an image combination pair, and performing image edge alignment processing on the first image and the second image in each image combination pair, the matching accuracy of the first coating area contained in the first image and the second coating area contained in the second image in the image combination pair can be improved. When determining the coating area edge pair subsequently, the coating area edge matching can be quickly performed directly based on the aligned first image and the second image, and multiple groups of coating area edge pairs corresponding to each image combination pair can be accurately obtained, which effectively improves the coating area edge matching speed and accuracy, thereby improving the efficiency and accuracy of coating misalignment detection.

[0040] In some embodiments, a plurality of image combination pairs are determined based on first image data obtained by capturing an image of a first surface of a pole piece substrate and second image data obtained by capturing an image of a second surface of a pole piece substrate, including:

[0041] determining an image relative adjustment parameter between the first image data and the second image data according to an acquisition region interval parameter of the first image data and the second image data, and an image size parameter;

[0042] Based on the image relative adjustment parameter, the first image of the continuous frame number included in the first image data and the second image of the continuous frame number included in the second image data are paired to obtain multiple groups of image combination pairs.

[0043] In the above embodiment, the image relative adjustment parameters are determined by the acquisition area interval parameters and the image size parameters, and the images in the first image data and the second image data are paired according to the image relative adjustment parameters. This can effectively pair the first image and the second image with the same acquisition area position, thereby improving the accuracy and efficiency of subsequent determination of multiple groups of coating area edge pairs based on the paired image combination pairs.

[0044] In some embodiments, determining the image relative adjustment parameter of the first image data and the second image data based on the acquisition region interval parameter of the first image data and the second image data, and the image size parameter, includes:

[0045] determining a ratio of a capture region interval parameter and an image size parameter of the first image data and the second image data;

[0046] The ratio is determined as an image relative adjustment parameter of the first image data and the second image data.

[0047] In the above embodiment, by determining the ratio of the acquisition area interval parameter of the first image data and the second image data to the image size parameter as the image relative adjustment parameter, the influence of inaccurate image matching caused by the different setting positions of the first acquisition device and the second acquisition device can be effectively eliminated, and the matching accuracy of the image combination pair obtained after subsequent image pairing based on the image relative adjustment parameter is improved.

[0048] In some embodiments, determining the coating misalignment amount of the electrode substrate during the coating process based on the first distance data and the second distance data includes:

[0049] Determining a distance data set for each image combination pair based on the first distance data and the second distance data, the distance data set including a first distance from an edge of each first coating film area in the first image to a corresponding target reference edge, and a second distance from an edge of each second coating film area in the second image to a corresponding target reference edge;

[0050] Determining a single-frame coating misalignment amount of each image combination pair based on a first distance and a second distance in a distance data set of each image combination pair;

[0051] The average coating misalignment amount determined according to the single-frame coating misalignment amount of each image combination pair is obtained, and the average coating misalignment amount is determined as the coating misalignment amount of the electrode substrate during the coating process.

[0052] In the above embodiment, the average coating misalignment of the electrode substrate is determined by the single-frame coating misalignment of each image combination pair, and the average coating misalignment of the electrode substrate is determined as the final coating misalignment. The coating misalignment can accurately characterize the first coating area on the first surface of the electrode substrate and the degree of regional edge deviation from the corresponding second coating area on the second surface of the electrode substrate, thereby effectively improving the accuracy and detection efficiency of coating misalignment detection.

[0053] In a second aspect, the present application further provides a coating misalignment detection device, comprising:

[0054] A reference edge number determination module is used to obtain the coating type of the electrode substrate and determine the number of reference edges according to the coating type; if the coating type is a one-out-two type, the number of reference edges is determined to be one; if the coating type is not a one-out-two type, the number of reference edges is determined to be two;

[0055] The target reference edge determination module is used to determine the target reference edge corresponding to each coating area edge of the electrode substrate when there are two reference edges; the target reference edge is the reference edge corresponding to the minimum blank area when calculating the distance between each coating area edge and the reference edge;

[0056] a distance data determination module, configured to determine first distance data from an edge of a coating region on a first surface of the electrode substrate to a corresponding target reference edge, and second distance data from an edge of a coating region on a second surface of the electrode substrate to a corresponding target reference edge;

[0057] The coating misalignment amount determination module is used to determine the coating misalignment amount of the electrode substrate during the coating process based on the first distance data and the second distance data.

[0058] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0059] In a fourth aspect, the present application also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0060] In a fifth aspect, the present application also provides a computer program product, including a computer program, which implements the steps of the above method when executed by a processor.

[0061] The above-mentioned coating misalignment detection method, apparatus, computer equipment, storage medium and computer program product, when performing coating misalignment detection, first determine the number of reference edges that conform to the actual coating situation of the electrode substrate based on the coating type of the electrode substrate. When the coating type is a one-out-two type, the number of reference edges is determined to be one, and when the coating type is not a one-out-two type, the number of reference edges is determined to be two. When the number of reference edges is determined to be two, a corresponding target reference edge is determined for each coating area edge of the electrode substrate based on the actual situation of each coating area edge of the electrode substrate. When performing subsequent example detection, the coating misalignment amount of the urination substrate is determined based on the first distance data from the coating area edge on the first surface of the electrode substrate to the corresponding target reference edge, and the second distance data from the coating area edge on the second surface of the electrode substrate to the corresponding target reference edge. Compared with randomly determining a single reference edge, the technical solution of determining the coating misalignment amount of the electrode substrate based on a single reference edge is to obtain distance data by performing distance detection between the edges of each coating area and their corresponding target reference edges that conform to the actual coating situation. Subsequently, the coating misalignment amount of the electrode substrate is determined based on the distance data. This can reduce the interference caused by the blank area on the surface of the electrode substrate during the coating misalignment detection process, and effectively improve the accuracy of the coating misalignment detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments of the present application. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on the drawings without inventive work. In the drawings:

[0063] FIG1 is a schematic structural diagram of a coating correction system according to one embodiment;

[0064] FIG2 is a schematic flow chart of a coating misalignment detection method according to an embodiment;

[0065] FIG3 is a schematic flow chart of the steps of determining target reference edges corresponding to the edges of each coating region of a pole piece substrate when there are two reference edges in one embodiment;

[0066] FIG4 is a schematic diagram showing the positions of the edge of the coating area and the corresponding target reference edge in one embodiment;

[0067] 5 is a schematic flow chart of the steps of determining the edge distances from the edge of the first coating region and the edge of the second coating region to two reference edges, respectively, in one embodiment;

[0068] FIG6 is a schematic flow chart of the steps of obtaining multiple sets of coating region edge pairs of an electrode substrate in one embodiment;

[0069] FIG7 is a schematic diagram of the arrangement position of an image acquisition device in one embodiment;

[0070] FIG8 is a flowchart illustrating steps for determining multiple image combination pairs based on first image data obtained by image acquisition of the first surface of the electrode substrate and second image data obtained by image acquisition of the second surface of the electrode substrate in one embodiment;

[0071] FIG9 is a schematic flow chart of a step of determining a coating misalignment amount of a pole piece substrate during a coating process according to first distance data and second distance data in one embodiment;

[0072] FIG10 is a schematic diagram showing the reference edge setting position corresponding to the coating type of one-out-two type in one embodiment;

[0073] FIG11 is a schematic diagram showing the reference edge setting position corresponding to the coating type of one out of eight in one embodiment;

[0074] FIG12 is a schematic diagram showing the reference edge setting position corresponding to a coating type of one out of six in one embodiment;

[0075] FIG13 is a schematic flow chart of a coating misalignment detection method according to another embodiment;

[0076] FIG14 is a structural block diagram of a coating misalignment detection device according to one embodiment;

[0077] FIG15 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0078] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0079] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0080] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0081] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0082] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0083] In the description of the embodiments of the present application, unless otherwise expressly specified or limited, technical terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.

[0084] Batteries, as a power source for tools, are widely used in energy storage systems and electric vehicles. Battery production involves numerous complex processes, including mixing, coating, rolling, die-cutting, winding, liquid injection, and formation. Among these complex steps, coating is considered the most cutting-edge and critical in the production of new energy batteries.

[0085] The coating process, based on research on popular objects, involves applying one or more layers of liquid onto a substrate. During the coating process, the stability, uniformity, and dimensions of the coating all affect the battery's ultimate performance. The dimensions of the coating's AB surface, including position, width, and AB misalignment, significantly impact battery capacity and safety.

[0086] During the coating process, the electrode may deviate due to mechanical errors in the coating equipment, guide roller errors, vibrations, and fluctuations in electrode tension, causing the coating on both sides of the electrode to be misaligned. If this is not discovered and corrected in time, the battery performance may be seriously affected, increasing the production cost of the battery. Therefore, correcting the electrode coating is an important step to improve the efficiency of coating production. The amount of correction during the correction process needs to be determined based on the misalignment value obtained by the coating misalignment detection. Therefore, the accuracy of the coating misalignment detection before correction will directly affect the accuracy and efficiency of the coating correction.

[0087] At present, the commonly used technical solution for coating misalignment detection is to arbitrarily determine a single reference edge and determine the coating misalignment amount of the electrode substrate based on the single reference edge. This misalignment detection method will be more or less affected by the interference caused by the blank area on the surface of the electrode substrate during the process of determining the coating misalignment amount, such as the interference caused by wrinkles in the blank area, resulting in low accuracy in coating misalignment detection and failure to meet the user's subsequent precise correction needs.

[0088] In order to improve the correction accuracy and efficiency of the electrode coating, when performing coating misalignment detection, the number of reference edges that conform to the actual coating situation of the electrode substrate is first determined based on the coating type of the electrode substrate. When the number of reference edges is determined to be two, the corresponding target reference edges are determined for the edges of each coating area of ​​the electrode substrate based on the actual situation of the edges of each coating area of ​​the electrode substrate. The target reference edge can be considered as the reference edge with the least blank area when performing distance detection on the edges of each coating area and the reference edge. When performing subsequent distance detection, the coating misalignment amount of the electrode substrate is determined by the first distance data from the edge of the coating area on the first surface of the electrode substrate to the corresponding target reference edge, and the second distance data from the edge of the coating area on the second surface of the electrode substrate to the corresponding target reference edge. Compared with randomly determining a single reference edge, the technical solution of determining the coating misalignment amount of the electrode substrate based on a single reference edge is to obtain distance data by performing distance detection between the edges of each coating area and their corresponding target reference edges that conform to the actual coating situation. Subsequently, the coating misalignment amount of the electrode substrate is determined based on the distance data. This can reduce the interference caused by the blank area on the surface of the electrode substrate during the coating misalignment detection process, and effectively improve the accuracy of the coating misalignment detection.

[0089] Since coating misalignment detection is also part of coating deviation correction, the coating misalignment detection method provided in the embodiment of the present application can be applied to the coating deviation correction system shown in Figure 1. The coating deviation correction system 100 includes a first die head 101, a second die head 102, an oven 103, a deviation correction mechanism 104 and a controller (not shown in the figure).

[0090] Among them, the first die head 101 is used to coat the coating surface A with slurry, the second die head 102 is used to coat the coating surface B with slurry, and the oven 103 is used to dry the electrode substrate 105 coated with slurry. After the coating surfaces AB are coated with slurry and dried, correction detection can be performed to determine whether correction is required.

[0091] Among them, the controller can be communicatively connected with the first die head 101, the second die head 102 and the correction mechanism 104, and the data storage system can store the data that the controller needs to process. The data storage system can be integrated on the controller, or it can be placed on the cloud or other network servers. The controller obtains the coating type of the electrode substrate, determines the number of reference edges according to the coating type, and when the number of reference edges is two, determines the target reference edges corresponding to the edges of each coating area of ​​the electrode substrate, and then determines the first distance data from the edge of the coating area on the first surface of the electrode substrate to the corresponding target reference edge, and the second distance data from the edge of the coating area on the second surface of the electrode substrate to the corresponding target reference edge. Based on the first distance data and the second distance data, the coating misalignment amount of the electrode substrate during the coating process is determined. Among them, the controller can be any control chip that can perform logic processing tasks, such as a microcontroller MCU.

[0092] In some embodiments, after the coated B surface is dried in an oven, the distance between the A surface and the B surface of the electrode substrate can be detected manually.

[0093] In other embodiments, an image acquisition device may be provided near the end of the oven 103 to detect edge misalignment values ​​of the A and B surfaces of the electrode substrate by image acquisition. The image acquisition device may be any device capable of image acquisition, such as a charge-coupled device camera.

[0094] In this embodiment, by providing a CCD camera detection module 106 near the end of the oven 103, images of the coated surface of the electrode substrate 105 can be captured to obtain corresponding image data. Since it is necessary to accurately determine the misalignment of the AB surfaces of the electrode substrate 105 corresponding to the coating area during coating correction, only the AB surfaces of the electrode substrate 105 can be imaged simultaneously. Therefore, in this embodiment, the CCD camera detection module 106 includes a first acquisition device, namely CCD1, and a second acquisition device, namely CCD2. Among them, CCD1 is used to capture images of the coated surface A of the electrode substrate 105, and CCD2 is used to capture images of the coated surface B of the electrode substrate 105.

[0095] In one embodiment, as shown in FIG2 , a coating misalignment detection method is provided. The method is described by applying it to the controller of the coating correction system in FIG1 as an example, including the following steps:

[0096] S202, obtaining the coating type of the electrode substrate, and determining the number of reference edges according to the coating type.

[0097] Among them, the pole piece substrate refers to the lithium-ion battery current collector, that is, the coating object of the coating process, and the coating process refers to the process of applying one or more layers of slurry to the substrate. The specific material used for the pole piece substrate can be determined according to actual production needs. For example, metal semiconductor materials such as copper, aluminum, nickel and stainless steel can be used, and semiconductor materials such as carbon or composite materials can also be used. It can be understood that the pole pieces of the battery can include positive pole pieces and negative pole pieces. In some embodiments, the pole piece substrate used to produce the positive pole piece can use aluminum foil material, and the pole piece substrate used to produce the negative pole piece can use copper foil material.

[0098] The coating type of the electrode substrate refers to the material specification type corresponding to the electrode substrate after coating is completed. For example, the coating type of the electrode substrate can include one out of two, one out of three, one out of four, one out of six, one out of eight, one out of ten, one out of twelve, etc.

[0099] Among them, the reference edge can be considered as the edge of the electrode substrate along the length direction. When performing misalignment detection, one or more reference edges can be set for distance detection. The number of reference edges can be determined according to the coating type of the electrode substrate.

[0100] In some optional embodiments, when performing coating misalignment detection, the controller may obtain the coating type of the electrode substrate and determine the number of reference edges according to the coating type.

[0101] In some embodiments, the controller may determine the number of reference edges to be two if the electrode substrate, as determined by the coating type, satisfies a preset multi-reference edge setting condition. If the electrode substrate, as determined by the coating type, satisfies a preset single-reference edge setting condition, the controller may determine the number of reference edges to be one. It is understood that the multi-reference edge setting condition and the single-reference edge setting condition may be determined by the designer based on the number of tab areas or the number of coating areas in the material specification type corresponding to the actual electrode substrate.

[0102] S204 , when there are two reference edges, determining target reference edges corresponding to edges of each coating region of the electrode substrate.

[0103] Among them, since the reference edge can be considered as the edge of the electrode substrate along the length direction, when the number of reference edges is two, it can be considered that the reference edges are set at both ends of the electrode substrate along the length direction.

[0104] When coating the electrode substrate, the area coated with slurry is called the coating area, and the area not coated with slurry is called the blank area, which can also be called the tab area. Although the blank area will not be coated with slurry, during the coating process, the coating area and the blank area are affected by tension and other factors, and the blank area is prone to wrinkling during movement. Therefore, in order to minimize the interference of wrinkles in the blank area on the detection of the coating misalignment amount, the target reference edge can be selected for the edge of each coating area according to the actual situation of each coating area. It can be understood that the target reference edge can be considered as the reference edge corresponding to the case with the least blank area when the distance between the edge of the coating area and the reference edge is subsequently calculated.

[0105] In some optional embodiments, when determining that the number of reference edges is two, the controller determines corresponding target reference edges for the edges of each coating area of ​​the electrode substrate.

[0106] S206 , determining first distance data from the edge of the coating region on the first surface of the electrode substrate to the corresponding target reference edge, and second distance data from the edge of the coating region on the second surface of the electrode substrate to the corresponding target reference edge.

[0107] Among them, in order to improve the coating efficiency, the currently commonly used coating processes are double-sided coating processes, that is, the two sides of the electrode substrate are coated at the same time, and the first surface and the second surface respectively represent the two surfaces of the electrode substrate corresponding to the coating. For example, when the first surface is the coated front side of the electrode substrate, the corresponding second surface can be the coated back side corresponding to the first surface on the electrode substrate. Conversely, when the first surface is the coated back side of the electrode substrate, the corresponding second surface can be the coated front side corresponding to the first surface.

[0108] The coating area of ​​the first surface is referred to as the first coating area, and the coating area of ​​the second surface is referred to as the second coating area. It is understandable that there may be multiple first coating areas and second coating areas on the first surface and the second surface, respectively, and the specific number of the first coating areas and the second coating areas is determined according to actual production conditions. In some embodiments, the number of the first coating areas is the same as the number of the second coating areas. The regional edge of the coating area may refer to the edge along the length direction of the coating area, and may also be referred to as the longitudinal direction of the pole piece.

[0109] The first distance data includes at least two first distances, each of which is a distance parameter representing a distance from an edge of a corresponding first coating region to a target reference edge. Similarly, the second distance data also includes at least two second distances, each of which is a distance parameter representing a distance from an edge of a corresponding second coating region to a target reference edge.

[0110] In some optional embodiments, after determining the target reference edge corresponding to the edge of each coating area of ​​the electrode substrate, the controller can determine the first distance from the edge of each coating area on the first surface of the electrode substrate to the corresponding target reference edge to obtain first distance data, and determine the second distance from the edge of each coating area on the second surface of the electrode substrate to the corresponding target reference edge to obtain second distance data.

[0111] In some of these embodiments, the first distance from the edge of each coating area on the first surface of the pole piece substrate to the corresponding target reference edge, and the second distance from the edge of each coating area on the second surface of the pole piece substrate to the corresponding target reference edge can be determined by manual measurement, for example, by actually measuring the distance from the edge of each coating area to the corresponding target reference edge using a length measuring tool.

[0112] In some embodiments, the first distance from the edge of each coating area on the first surface of the electrode substrate to the corresponding target reference edge, and the second distance from the edge of each coating area on the second surface of the electrode substrate to the corresponding target reference edge can be determined by performing image capture on the first surface and the second surface using an image capture device. For example, a charge coupled device (CCD) camera can be used to simultaneously capture images of the first surface and the second surface to obtain image capture data, and then based on the image capture data, the distance from the edge of each coating area to the corresponding target reference edge is detected to obtain first distance data and second distance data.

[0113] S208 , determining a coating misalignment amount of the electrode substrate during the coating process according to the first distance data and the second distance data.

[0114] Among them, the coating misalignment amount can characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the corresponding second coating area on the second surface of the electrode substrate. The coating misalignment amount can be positive or negative. The positive and negative here do not represent the size of the coating misalignment amount, but characterize the direction of the misalignment, that is, the correction direction during the subsequent correction process. For example, when it is determined that the coating misalignment amount is a positive value and the corresponding correction direction is the first direction, then when it is determined that the coating misalignment amount is a negative value, the corresponding correction direction should be the second direction. The first direction is opposite to the second direction. If the first correction direction is left, then the second correction direction is right. If the first correction direction is right, then the second correction direction is left.

[0115] In some optional embodiments, since the first distance data includes a first distance from the edge of the coating area on the first surface to the corresponding target baseline, and the second distance data includes a second distance from the edge of the coating area on the second surface to the corresponding target baseline, the controller can determine the regional misalignment value of each first coating area on the first surface and the corresponding second coating area on the second surface based on the first distance data and the second distance data, and further determine the coating misalignment amount of the electrode substrate during the coating process.

[0116] In the above-mentioned coating misalignment detection method, when performing coating misalignment detection, the number of reference edges that conform to the actual coating conditions of the electrode substrate is first determined based on the coating type of the electrode substrate. When the number of reference edges is determined to be two, corresponding target reference edges are determined for each coating area edge of the electrode substrate based on the actual conditions of the edges of each coating area of ​​the electrode substrate. In subsequent example detection, the coating misalignment amount of the electrode substrate is determined based on first distance data from the coating area edge on the first surface of the electrode substrate to the corresponding target reference edge, and second distance data from the coating area edge on the second surface of the electrode substrate to the corresponding target reference edge. Compared to the technical solution of arbitrarily determining a single reference edge and determining the coating misalignment amount of the electrode substrate based on the single reference edge, by performing distance detection between each coating area edge and its corresponding target reference edge that conforms to the actual coating conditions to obtain distance data, and subsequently determining the coating misalignment amount of the electrode substrate based on the distance data, the interference caused by the blank area on the surface of the electrode substrate during the coating misalignment detection process can be reduced, thereby effectively improving the accuracy of coating misalignment detection.

[0117] Determining the target reference edge is a key step in reducing wrinkling interference in the blank area. In some embodiments, as shown in FIG3 , when there are two reference edges, determining the target reference edge corresponding to each coating area edge of the electrode substrate includes:

[0118] S302 , obtaining a plurality of coating region edge pairs of the electrode substrate, wherein the coating region edge pairs include a first coating region edge and a second coating region edge that are located on different surfaces of the electrode substrate and are opposite to each other.

[0119] Among them, since the coating misalignment detection is mainly a process of detecting the misalignment between the coating area on the first surface of the electrode substrate and the corresponding coating area on the second surface, the misalignment between the coating areas needs to be determined by the misalignment distance between the edges of the corresponding coating areas of the two corresponding coating areas. Therefore, when determining the target reference edge, it is necessary to make the target reference edges corresponding to the two coating area edges for determining the misalignment distance the same reference edge. As shown in Figure 4, edges 1 and 2 in coating area 1 and coating area 2 need to use the same target reference edge for misalignment distance determination, and edges 3 and 4 in coating area 3 and coating area 4 need to use another target reference edge for misalignment distance determination.

[0120] In some optional embodiments, the controller matches each first coating area on the first surface of the electrode substrate with each second coating area on the second surface of the electrode substrate, determines the second coating area corresponding to each first coating area, and obtains a coating area pair, and then matches each first coating area edge with a corresponding second coating area edge based on at least two first coating area edges of the first coating area and at least two second coating area edges of the second coating area in each coating area pair, to obtain multiple groups of coating area edge pairs of the electrode substrate.

[0121] S304: Determine the edge distances from the edge of the first coating region and the edge of the second coating region to the two reference edges.

[0122] In some optional embodiments, after obtaining multiple groups of coating area edge pairs of the electrode substrate, the controller can respectively detect the distance between the first coating area edge and the second coating area edge in each group of coating area edge pairs and the two reference edges, and determine the edge distances from the first coating area edge and the second coating area edge to the two reference edges respectively.

[0123] S306 , determining the reference edge corresponding to the minimum edge distance as the target reference edge corresponding to the first coating region edge and the second coating region edge in the coating region edge pair.

[0124] In some optional embodiments, after determining the edge distances from the first coating area edge and the second coating area edge to the two reference edges respectively, the controller can determine the reference edge corresponding to the minimum edge distance as the common target reference edge of the coating area edge pair, that is, the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

[0125] In some embodiments, the controller may sort the obtained edge distances of the first coating area edge and the second coating area edge to the two reference edges in ascending order, and determine the reference edge corresponding to the first edge distance as the common target reference edge of the coating area edge pair.

[0126] In the above embodiment, by dividing the electrode substrate into multiple groups of coating area edge pairs, and determining the reference edge that has the minimum edge distance from the coating area edge in the coating area edge pair as the common target reference edge of the coating area edge pair, the accuracy and stability of the coating misalignment amount calculation can be improved when calculating the coating misalignment amount, and the probability of distance detection errors due to different selected reference edges can be reduced.

[0127] In some embodiments, after obtaining the edge distances from the edge of the first coating area and the edge of the second coating area to the two reference edges respectively, the controller can also calculate the first average edge distance from the edge of the first coating area and the edge of the second coating area to the first reference edge, as well as the second average edge distance from the edge of the first coating area and the edge of the second coating area to the second reference edge, compare the first average edge distance with the second average edge distance, and determine the reference edge corresponding to the minimum average edge distance as the common target reference edge of the coating area edge pair.

[0128] Furthermore, in some embodiments, as shown in FIG5 , determining the edge distances from the edge of the first coating region and the edge of the second coating region to the two reference edges, respectively, includes:

[0129] S502 , obtaining first image data obtained by collecting images of the first surface of the electrode substrate, and second image data obtained by collecting images of the second surface of the electrode substrate.

[0130] Among them, in order to improve the automation and accuracy of detection, designers can set up an image acquisition device in the coating system, and use the image acquisition device to capture images of the first surface and the second surface of the electrode substrate to obtain first image data corresponding to the first surface and second image data corresponding to the second surface.

[0131] To improve detection accuracy, in some embodiments, the first image data and the second image data may be image data obtained by an image acquisition device performing multiple image captures of the first and second surfaces of the moving electrode substrate within a preset acquisition cycle. In this case, the first image data may include multiple frames of continuous first images, and the second image data may include multiple frames of continuous second images. It will be understood that the specific number of image frames included in the first and second image data is determined by a sampling cycle preset by the designer and the operating parameters of the image acquisition device.

[0132] In some optional embodiments, the controller is communicatively connected to the image acquisition device, and the image acquisition device can respond to the image acquisition instruction sent by the controller to simultaneously acquire images of the first surface of the electrode substrate and the second surface of the electrode substrate to obtain first image data and second image data.

[0133] S504 , determining edge position information of the first coating region edge and the second coating region edge, and reference edge position information of two reference edges based on the first image data and the second image data.

[0134] The edge position information is used to characterize the position of each coating area edge in the coating area edge pair in the image, such as edge label, edge position coordinates, etc. The reference edge position information is used to characterize the position of two reference edges in the image, such as reference edge label, reference edge position coordinates, etc.

[0135] In some optional embodiments, after obtaining the first image data and the second image data, the controller can determine the edge position information of the edge of the first coating area based on the first image in the first image data, determine the edge position information of the edge of the second coating area based on the second image in the second image data, and determine the reference edge position information of the two reference edges based on the first image and the second image.

[0136] S506 , based on the edge position information and the reference edge position information, determining the edge distances from the edge of the first coating region and the edge of the second coating region to the two reference edges respectively.

[0137] After obtaining the edge position information and the reference edge position information, the controller can determine the edge distances from the edge of the first coating area to the two reference edges based on the positions of the two reference edges represented by the reference edge position information and the edge position of the edge of the first coating area represented by the edge position information, and determine the edge distances from the edge of the second coating area to the two reference edges based on the positions of the two reference edges represented by the reference edge position information and the edge position of the edge of the second coating area represented by the edge position information.

[0138] In the above embodiment, the first image data and the second image data are obtained by image acquisition, and the controller can quickly determine the edge position information representing the edge position of each coating area edge and the reference edge position information representing the position of two reference edges based on the first image data and the second image data. Then, the edge distance from the edge of the first coating area and the edge of the second coating area to the two reference edges is quickly determined based on the obtained edge position information and the reference edge position information, thereby effectively improving the determination rate and accuracy of the edge distance, and thereby improving the accuracy and efficiency of coating misalignment detection.

[0139] In addition to determining the edge distance using image acquisition, the edge pairs of the coating area can also be determined by image acquisition. In some implementations, based on the coating misalignment detection method of FIG3 and FIG5 , as shown in FIG6 , S302 obtains multiple sets of edge pairs of the coating area of ​​the electrode substrate, including:

[0140] S602, determining a plurality of image combination pairs based on first image data obtained by capturing an image of the first surface of the electrode substrate and second image data obtained by capturing an image of the second surface of the electrode substrate, wherein the image combination pairs include a first image and a second image having the same capture area position.

[0141] It is understandable that in order to improve the image acquisition quality, the image of the pole piece substrate surface located on the roller is generally acquired, so as to reduce the probability of low acquisition quality caused by the shaking of the pole piece substrate in the non-roller area during the image acquisition process. During the coating process, it is impossible for the first surface and the second surface to exist on the roller at the same time.

[0142] In order to enable the image acquisition device to simultaneously capture images of the first surface and the second surface, as shown in FIG7 , the image acquisition device may include a first acquisition device and a second acquisition device, and the first acquisition device and the second acquisition device respectively simultaneously capture images of the surfaces of the electrode substrate on two rollers separated by a certain length L. It can be seen that due to the different acquisition positions, the first coating area corresponding to the first image and the second coating area corresponding to the second image simultaneously captured by the first acquisition device and the second acquisition device are not the coating areas on the front and back surfaces of the electrode substrate that are opposite to each other, and the first acquisition device and the second acquisition device will be separated by a certain number of images.

[0143] Since the edge distance is a distance parameter that characterizes the degree of deviation between the edge of the first coating area and the corresponding edge of the second coating area, in order to improve the detection accuracy of the edge distance, it is necessary to match and combine the first image contained in the first image data and the second image contained in the second image data, so that the first coating area contained in the first image and the second coating area contained in the second image in the combined image combination pair are relative areas, that is, the acquisition area positions of the first image and the second image in the image combination pair are the same.

[0144] In some optional embodiments, after the controller obtains the first image data obtained by capturing the image of the first surface of the electrode substrate and the second image data obtained by capturing the image of the second surface of the electrode substrate, the controller matches and combines the first image and the second image in the first image data and the second image data to obtain multiple groups of image combination pairs containing the first image and the second image with the same capture area position.

[0145] S604: Perform image edge alignment processing on the first image and the second image.

[0146] It can be understood that after obtaining multiple groups of image combination pairs, the controller needs to perform image edge alignment processing on the first image and the second image in each group of image combination pairs respectively, so as to more intuitively and accurately determine the degree of deviation between the edge of the first coating area in the first image and the corresponding edge of the second coating area in the second image.

[0147] S606 , based on the aligned first image and second image, matching the first coating region edge in the first image with the second coating region edge in the second image to obtain multiple coating region edge pairs corresponding to each image combination pair.

[0148] In some optional embodiments, the controller can match the edge of the first coating area in the first image with the edge of the second coating area in the second image based on the aligned first image and second image, so as to obtain multiple groups of coating area edge pairs corresponding to each image combination pair.

[0149] In the above embodiment, by combining the first image and the second image with the same acquisition area position into an image combination pair, and performing image edge alignment processing on the first image and the second image in each image combination pair, the matching accuracy of the first coating area contained in the first image and the second coating area contained in the second image in the image combination pair can be improved. When determining the coating area edge pair subsequently, the coating area edge matching can be quickly performed directly based on the aligned first image and the second image, and multiple groups of coating area edge pairs corresponding to each image combination pair can be accurately obtained, which effectively improves the coating area edge matching speed and accuracy, thereby improving the efficiency and accuracy of coating misalignment detection.

[0150] Furthermore, in some embodiments, as shown in FIG8 , determining a plurality of image combination pairs according to first image data obtained by image acquisition for the first surface of the electrode substrate and second image data obtained by image acquisition for the second surface of the electrode substrate in S602 includes the following steps:

[0151] S802 : Determine image relative adjustment parameters of the first image data and the second image data according to acquisition region interval parameters and image size parameters of the first image data and the second image data.

[0152] The acquisition area interval parameter refers to the interval parameter between the image acquisition position of the first acquisition device and the image acquisition position of the second acquisition device, for example, the distance parameter L between the first roller corresponding to the first acquisition device and the second roller corresponding to the second acquisition device.

[0153] The image size parameter can be used to characterize the image size of the captured image, for example, the image size obtained by the first capture device and the second capture device when capturing images. It can be understood that the first capture device and the second capture device have the same image size parameter.

[0154] The image relative adjustment parameter is an adjustment parameter used to match the first image in the first image data with the second image in the second image data. It can be the number of image intervals between the first and second acquisition devices. Using the image relative adjustment parameter to perform image adjustment and pairing on the first and second image data can produce multiple corresponding image pairs.

[0155] In some optional embodiments, the controller determines the image relative adjustment parameters of the first image data and the second image data according to the acquisition area interval parameters and the image size parameters of the first image data and the second image data.

[0156] In some embodiments, taking the acquisition area interval parameter as L and the image size parameter as image length M as an example, the controller may determine F=L / M as the image relative adjustment parameter of the first image data and the second image data.

[0157] S804 , pairing the first images of the consecutive frames included in the first image data with the second images of the consecutive frames included in the second image data based on the image relative adjustment parameter to obtain a plurality of image combination pairs.

[0158] The image acquisition device acquires images of the electrode substrate within a capture cycle, and the obtained first image data will include a continuous number of first frames, and the second image data will include a continuous number of second frames. The specific number of continuous frames is related to the movement distance of the electrode substrate and the image size parameter within the capture cycle. For example, if the movement distance of the electrode substrate during the capture cycle is S and the image size parameter is the image length M, the first image data will include a continuous number of first frames of N = S / M (N is an integer), and the second image data will also include N consecutive frames of the second image.

[0159] Although the number of image frames in the first image data is equal to the number of image frames in the second image data, from the acquisition environment shown in FIG7 , it can be seen that when the first acquisition device and the second acquisition device simultaneously acquire images, the first coating area and the second coating area represented by the acquired first image and the acquired second image will definitely not be relative coating areas, that is, the first image and the second image corresponding to the same frame number in the first image data and the second image data acquire different areas of the electrode substrate.

[0160] Therefore, after obtaining the image relative adjustment parameters, the controller can pair the first image of the continuous frame number contained in the first image data and the second image of the continuous frame number contained in the second image data based on the image relative adjustment parameters, and match the first image and the second image with the same acquisition area position to obtain an image combination pair, thereby obtaining multiple groups of image combination pairs.

[0161] For example, when the first acquisition device and the second acquisition device respectively acquire N images, the first image data includes Na1, Na2, Na3…NaN first images. The second image data includes Nb1, Nb2, Nb3…NbN second images. If the image relative adjustment parameter F=2, indicating that the number of image intervals between the first acquisition device and the second acquisition device is 2, in order to make the areas of the first image and the second image for calculating the edge misalignment value in the same area, Nb1 and Na3 can be determined as a group of image combination pairs, and Nb2 and Na4 can be determined as a group of image combination pairs, etc., that is, the first image data and the second image data can be matched and combined with each other including (Nb1, Na3), (Nb2, Na4)…(Nb(N-2), Na N).

[0162] In the above embodiment, the image relative adjustment parameters are determined by the acquisition area interval parameters and the image size parameters, and the images in the first image data and the second image data are paired according to the image relative adjustment parameters. This can effectively pair the first image and the second image with the same acquisition area position, thereby improving the accuracy and efficiency of subsequent determination of multiple groups of coating area edge pairs based on the paired image combination pairs.

[0163] After obtaining multiple sets of image combination pairs, the detection rate and accuracy of the coating misalignment can also be further improved by the image combination pairs. In some embodiments, as shown in FIG9 , the coating misalignment of the electrode substrate during the coating process is determined based on the first distance data and the second distance data, including:

[0164] S902: Determine a distance data set for each image combination pair based on the first distance data and the second distance data.

[0165] The first distance data is the distance data representing the distance from the edge of the coating region on the first surface of the electrode substrate to the corresponding target reference edge. When the first image data obtained by image acquisition of the first surface of the electrode substrate includes multiple frames of continuous first images, the first distance data will naturally also include the first distance from the edge of each first coating region in each frame of the first image to the corresponding target reference edge. Similarly, when the second image data obtained by image acquisition of the second surface of the electrode substrate includes multiple frames of continuous second images, the second distance data will naturally also include the second distance from the edge of each second coating region in each frame of the second image to the corresponding target reference edge.

[0166] Therefore, after obtaining the first distance data and the second distance data, the controller can assign a corresponding distance data set to each image combination pair based on the first image and the second image contained in each image combination pair. The distance data set includes the first distance from the edge of each first coating area in the first image of the image combination pair to the corresponding target reference edge, and the second distance from the edge of each second coating area in the second image to the corresponding target reference edge.

[0167] S904 , determining a single-frame coating misalignment amount of each image combination pair based on the first distance and the second distance in the distance data set of each image combination pair.

[0168] The single-frame coating misalignment amount is used to characterize the comprehensive deviation between the coating area on the first surface of the electrode substrate and the coating area corresponding to the second surface of the electrode substrate in the corresponding first image and second image.

[0169] In some optional embodiments, after the controller assigns distance data to each image combination pair to obtain a distance data set, it can determine the single-frame coating misalignment amount of each image combination pair based on the first distance and the second distance in the distance data set of each image combination pair.

[0170] For example, in a certain image combination pair, the first distance corresponding to the first image is AL1, AL2, AL3, AL4, and the second distance corresponding to the second image is BL1, BL2, BL3, BL4. Then the initial misalignment values ​​of the coating on the first surface and the second surface reflected by the first image and the second image are a=AL1-BL1, b=AL2-BL2, c=AL3-BL3, d=AL4-BL4. The controller can determine the single-frame coating misalignment amount x=(a+b+c+d) / 4 of the image combination pair.

[0171] S906 , obtaining an average coating misalignment amount determined based on the single-frame coating misalignment amount of each image combination pair, and determining the average coating misalignment amount as the coating misalignment amount of the electrode substrate during the coating process.

[0172] In some optional embodiments, after obtaining the single-frame coating misalignment amount of each image combination pair, the controller can determine the average coating misalignment amount of the electrode substrate based on the single-frame coating misalignment amount of each image combination pair, and determine the average coating misalignment amount as the coating misalignment amount used to characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the corresponding second coating area on the second surface of the electrode substrate.

[0173] For example, when there are N groups of image combination pairs, the controller can obtain N single-frame coating misalignment amounts including x1, x2, x3...xN, and then the controller can determine the average coating misalignment amount X = (x1+x2+x3+...+xN) / N as the coating misalignment amount y.

[0174] In the above embodiment, the average coating misalignment of the electrode substrate is determined by the single-frame coating misalignment of each image combination pair, and the average coating misalignment of the electrode substrate is determined as the final coating misalignment. The coating misalignment can accurately characterize the first coating area on the first surface of the electrode substrate and the degree of regional edge deviation from the corresponding second coating area on the second surface of the electrode substrate, thereby effectively improving the accuracy and detection efficiency of coating misalignment detection.

[0175] In the coating misalignment detection method, determining the number of reference edges is the primary step in improving the accuracy of coating misalignment detection. In some embodiments, obtaining the coating type of the electrode substrate and determining the number of reference edges based on the coating type includes: when the coating type is a one-out-two type, determining the number of reference edges to be one.

[0176] As shown in Figure 10, when the coating type is one-out-two type, it can be seen that when calculating the edge distance, no matter which side is used as the reference side, the number of blank areas included in the calculation process is the same. Therefore, when the coating type is one-out-two type, the controller can determine that the number of reference sides is one.

[0177] In other embodiments, the coating type of the electrode substrate is obtained, and the number of reference sides is determined according to the coating type, including: when the coating type is not a one-out-two type, determining the number of reference sides to be two.

[0178] It can be understood that when the coating type is one out of four, one out of six, one out of eight, one out of ten, one out of twelve, etc., that is, the coating type is greater than the one out of two type, when calculating the edge distance, it is necessary to consider the number of blank areas included in the calculation process. Therefore, when the coating type is not the one out of two type, the controller can determine the number of reference edges to be two.

[0179] In some embodiments, the coating type is an eight-out-one type as an example, as shown in Figure 11. In the eight-out-one type, the two groups of opposite coating areas on the left include four groups of opposite area edges, namely edge 1, edge 2, edge 3 and edge 4, and the two groups of opposite coating areas on the right also include four groups of opposite area edges, namely edge 5, edge 6, edge 7 and edge 8. It can be clearly seen from the figure that in the eight-out-one type, when the edge distance between the four groups of area edges on the left and the first reference line is calculated, the pole lug area included is the least, and when the edge distance between the four groups of area edges on the right and the second reference line is calculated, the pole lug area included is the least. Therefore, two reference edges need to be divided in the eight-out-one type, and the number of reference edges is two.

[0180] Similarly, in other embodiments, taking the coating type of one out of six as an example, as shown in FIG12 , in the one out of six type, the left group of opposing coated areas includes two groups of opposing area edges, namely, edge 1 and edge 2, and the middle group of opposing coated areas includes two groups of opposing area edges, namely, edge 3 and edge 4. Similarly, the right group of opposing coated areas includes two groups of opposing area edges, namely, edge 5 and edge 6. As can be clearly seen from the figure, in the one out of six type, when the edge distance between the two groups of area edges on the left and the first reference line is calculated, the area included is the least, and when the edge distance between the two groups of area edges on the right and the second reference line is calculated, the area included is the least. Furthermore, of the two groups of area edges in the middle, when the edge distance between edge 3 and the first reference line is calculated, the area included is the least, and when the edge distance between edge 4 and the second reference line is calculated, the area included is the least. Therefore, in the one out of eight type, two reference edges are also required, and the number of reference edges is two.

[0181] It should be noted that when there are two reference sides, the correction directions defined by the first reference side and the second reference side are opposite. Therefore, if the ± direction is defined by the misalignment amount calculated by the first reference side, then the misalignment amount calculated by the second reference side needs to be added with a "-".

[0182] In the above embodiment, when performing coating misalignment detection, the number of reference edges that conform to the actual coating situation of the electrode substrate is determined according to the coating type of the electrode substrate, so that the corresponding target reference edges can be determined for the edges of each coating area of ​​the electrode substrate according to the actual situation of the edges of each coating area of ​​the electrode substrate, providing a calculation basis for the subsequent calculation of the coating misalignment amount.

[0183] In some embodiments, a coating misalignment detection method is provided. The method is described by applying it to the coating correction system in FIG. 1 . As shown in FIG. 13 , the coating misalignment detection method specifically includes the following steps:

[0184] S1301, obtaining the coating type of the electrode substrate.

[0185] It is understandable that the controller can obtain the coating type of the current electrode substrate from the server.

[0186] S1302: When the coating type is not one-out-two, the number of reference sides is determined to be two.

[0187] It can be understood that the controller determines the number of reference sides to be two when the coating type is not one-out-two type, and determines the number of reference sides to be one when the coating type is one-out-two type.

[0188] S1303: When the number of reference sides is two, first image data and second image data obtained by capturing the coated surfaces A and B multiple times in the current capture cycle are acquired.

[0189] Among them, after entering the acquisition cycle, the controller generates an image acquisition instruction and sends the image acquisition instruction to the CCD camera detection module. The CCD camera detection module responds to the image acquisition instruction and simultaneously controls CCD1 to capture the image of the coated surface A to obtain the first image data, and controls CCD2 to capture the image of the coated surface B to obtain the second image data.

[0190] S1304: Obtain multiple groups of image combination pairs based on the first image data and the second image data.

[0191] The controller can generate N sets of images based on the first image data and the second image data, each set of images containing the first image and the second image at the same acquisition area. It is understood that when the length of each image frame is M, the total length of the N images, L = M × N, is the sampling period, where the period L < F, where F is the mechanical distance from the CCD camera to the B-side coating head, i.e., the second die head.

[0192] S1305 : Based on each image combination pair, determine the coating area edge pair corresponding to each image combination pair.

[0193] After obtaining each image combination pair, the controller first performs image edge alignment on the first image and the second image in the image combination pair. Then, based on the aligned first and second images, the controller matches the first coating area edge in the first image with the second coating area edge in the second image to obtain multiple coating area edge pairs corresponding to each image combination pair. It can be understood that the coating area edge pair includes the first coating area edge and the second coating area edge, which are located on the A and B surfaces of the electrode substrate and are opposite to each other.

[0194] S1306, determining the alignment of the edges of each coating region, and the distances from the edge of the first coating region and the edge of the second coating region to the two reference edges.

[0195] S1307: Determine the reference edge corresponding to the minimum edge distance as the common target reference edge of the coating area edge pair.

[0196] After determining the edge distances of each coating area edge pair and the edge distances of the first coating area edge and the second coating area edge to the two reference edges respectively, the controller determines the reference edge corresponding to the minimum edge distance as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

[0197] S1308, determining first distance data from the edge of the coating area on the first surface of the electrode substrate to the corresponding target reference edge, and second distance data from the edge of the coating area on the second surface of the electrode substrate to the corresponding target reference edge.

[0198] S1309: Determine a distance data set for each image combination pair based on the first distance data and the second distance data.

[0199] It can be understood that the controller determines the distance data set of each image combination pair based on the first distance data and the second distance data, and the distance set includes the first distance from the edge of each first coating area in the first image to the corresponding target reference edge, and the second distance from the edge of each second coating area in the second image to the corresponding target reference edge.

[0200] S1310: Determine the single-frame coating misalignment amount x of each image combination pair based on the distance set of each image combination pair.

[0201] Among them, if the first distance corresponding to the first image in a certain image combination pair is AL1, AL2, AL3, AL4, and the second distance corresponding to the second image is BL1, BL2, BL3, BL4, then the initial coating misalignment values ​​of the first surface and the second surface reflected by the first image and the second image are a=AL1-BL1, b=AL2-BL2, c=AL3-BL3, d=AL4-BL4, and the controller can determine the single-frame coating misalignment amount x=(a+b+c+d) / 4 of the image combination pair.

[0202] S1311, determining a coating offset amount according to a single-frame coating offset amount of each image combination pair.

[0203] After obtaining the single-frame coating misalignment amount of each image combination pair, the controller can determine the average coating misalignment amount of the electrode substrate based on the single-frame coating misalignment amount of each image combination pair, and determine the average coating misalignment amount as the coating misalignment amount.

[0204] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0205]

[0206] Based on the same inventive concept, the present application also provides a coating misalignment detection device for implementing the coating misalignment detection method mentioned above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more coating misalignment detection device embodiments provided below can be found in the above-mentioned limitations of the coating misalignment detection method and will not be repeated here.

[0207] In one embodiment, as shown in FIG14 , a coating misalignment detection device 1400 is provided, comprising: a reference edge number determination module 1401, a target reference edge determination module 1402, a distance data determination module 1403, and a coating misalignment amount determination module 1404, wherein:

[0208] The reference edge number determination module 1401 is used to obtain the coating type of the electrode substrate and determine the reference edge number according to the coating type.

[0209] The target reference edge determination module 1402 is used to determine the target reference edges corresponding to the edges of each coating area of ​​the electrode substrate when there are two reference edges.

[0210] The distance data determination module 1403 is used to determine the first distance data from the edge of the coating area on the first surface of the electrode substrate to the corresponding target reference edge, and the second distance data from the edge of the coating area on the second surface of the electrode substrate to the corresponding target reference edge.

[0211] The coating misalignment determination module 1404 is configured to determine the coating misalignment of the electrode substrate during the coating process based on the first distance data and the second distance data.

[0212] The coating misalignment detection device described above, when performing coating misalignment detection, first determines the number of reference edges that conform to the actual coating conditions of the electrode substrate based on the coating type of the electrode substrate. When the number of reference edges is determined to be two, corresponding target reference edges are determined for the edges of each coating region of the electrode substrate based on the actual conditions of the edges of each coating region of the electrode substrate. In subsequent example detection, the coating misalignment amount of the electrode substrate is determined based on first distance data from the edge of the coating region on the first surface of the electrode substrate to the corresponding target reference edge, and second distance data from the edge of the coating region on the second surface of the electrode substrate to the corresponding target reference edge. Compared to arbitrarily determining a single reference edge and determining the coating misalignment amount of the electrode substrate based on the single reference edge, by performing distance detection on each coating region edge with its corresponding target reference edge that conforms to the actual coating conditions to obtain distance data, and subsequently determining the coating misalignment amount of the electrode substrate based on the distance data, the interference caused by the blank area on the surface of the electrode substrate during the coating misalignment detection process can be reduced, thereby effectively improving the accuracy of coating misalignment detection.

[0213] In some embodiments, the target reference edge determination module is also used to: obtain multiple groups of coating area edge pairs of the electrode substrate, the coating area edge pairs including a first coating area edge and a second coating area edge respectively located on different surfaces of the electrode substrate and opposite to each other; determine the edge distances of the first coating area edge and the second coating area edge to the two reference edges respectively; and determine the reference edge corresponding to the minimum edge distance as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

[0214] In some embodiments, the target reference edge determination module is also used to: sort the edge distances of the first coating area edge and the second coating area edge to the two reference edges in ascending order; and determine the reference edge corresponding to the first edge distance as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

[0215] In some embodiments, the target reference edge determination module is also used to: respectively calculate the first average edge distance from the edge of the first coating area and the edge of the second coating area to the first reference edge, and the second average edge distance from the edge of the first coating area and the edge of the second coating area to the second reference edge; compare the first average edge distance and the second average edge distance, and determine the reference edge corresponding to the minimum average edge distance as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

[0216] In some embodiments, the target reference edge determination module is also used to: obtain first image data obtained by capturing an image of the first surface of the electrode substrate, and second image data obtained by capturing an image of the second surface of the electrode substrate; determine edge position information of the edge of the first coating area and the edge of the second coating area, as well as reference edge position information of the two reference edges based on the first image data and the second image data; based on the edge position information and the reference edge position information, determine the edge distances of the edge of the first coating area and the edge of the second coating area to the two reference edges respectively.

[0217] In some embodiments, the target reference edge determination module is also used to: determine multiple groups of image combination pairs based on first image data obtained by image capture of the first surface of the electrode substrate and second image data obtained by image capture of the second surface of the electrode substrate, the image combination pairs including a first image and a second image with the same acquisition area position; perform image edge alignment on the first image and the second image; based on the aligned first image and second image, match the edge of the first coating area in the first image with the edge of the second coating area in the second image to obtain multiple groups of coating area edge pairs corresponding to each image combination pair.

[0218] In some embodiments, the target reference edge determination module is also used to: determine the image relative adjustment parameters of the first image data and the second image data based on the acquisition area interval parameters of the first image data and the second image data, and the image size parameters; based on the image relative adjustment parameters, pair the first image of the continuous frame number contained in the first image data and the second image of the continuous frame number contained in the second image data to obtain multiple groups of image combination pairs.

[0219] In some embodiments, the target reference edge determination module is further used to: determine the ratio of the acquisition area interval parameter and the image size parameter of the first image data and the second image data; and determine the ratio as the image relative adjustment parameter of the first image data and the second image data.

[0220] In some embodiments, the coating misalignment amount determination module is also used to: determine the distance data set of each image combination pair based on the first distance data and the second distance data, the distance data set including the first distance from the edge of each first coating area in the first image to the corresponding target reference edge, and the second distance from the edge of each second coating area in the second image to the corresponding target reference edge; determine the single-frame coating misalignment amount of each image combination pair based on the first distance and the second distance in the distance data set of each image combination pair; obtain the average coating misalignment amount determined based on the single-frame coating misalignment amount of each image combination pair, and determine the average coating misalignment amount as the coating misalignment amount of the electrode substrate during the coating process.

[0221] In some embodiments, the reference edge number determination module is further used to determine the reference edge number as one when the coating type is one-out-two type; and to determine the reference edge number as two when the coating type is not one-out-two type.

[0222] Each module in the above-mentioned coating misalignment detection device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0223] In one embodiment, a computer device is provided, which can be a controller, and its internal structure diagram can be shown in Figure 15. The computer device includes a processor, a memory and a network interface connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as coating type, number of reference edges, first distance data, second distance data, coating misalignment amount, etc. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a coating misalignment detection method is implemented.

[0224] Those skilled in the art will understand that the structure shown in FIG15 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0225] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the specific implementation steps of the above-mentioned coating misalignment detection method are realized.

[0226] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the specific implementation steps of the above-mentioned coating misalignment detection method are realized.

[0227] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the specific implementation steps of the above-mentioned coating misalignment detection method.

[0228] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0229] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0230] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0231] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A coating misalignment detection method, the method comprising: Obtaining a coating type of the electrode substrate, and determining the number of reference edges according to the coating type; In the case where the coating type is a one-out-two type, the number of reference sides is determined to be one; In the case where the coating type is not a one-out-two type, determining the number of the reference sides to be two; When there are two reference edges, determine the target reference edges corresponding to the edges of the coating regions of the electrode substrate; the target reference edges are the reference edges corresponding to the minimum blank area when calculating the distance between the edges of the coating regions and the reference edges; Determine first distance data from an edge of a coating region on a first surface of the electrode substrate to a corresponding target reference edge, and second distance data from an edge of a coating region on a second surface of the electrode substrate to a corresponding target reference edge; The coating misalignment amount of the electrode substrate during the coating process is determined according to the first distance data and the second distance data.

2. The method according to claim 1, characterized in that When the number of the reference edges is two, determining the target reference edges corresponding to the edges of each coating area of ​​the electrode substrate includes: Acquire a plurality of pairs of coating region edges of the electrode substrate, wherein the coating region edge pairs include a first coating region edge and a second coating region edge that are located on different surfaces of the electrode substrate and are opposite to each other; Determine the edge distances from the edge of the first coating area and the edge of the second coating area to the two reference edges respectively; The reference edge corresponding to the minimum edge distance is determined as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

3. The method according to claim 2, characterized in that The step of determining the reference edge corresponding to the minimum edge distance as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair includes: Arrange the distances from the edge of the first coating area and the edge of the second coating area to the two reference edges in ascending order; The reference edge corresponding to the leading edge distance is determined as the target reference edge corresponding to the first coating film area edge and the second coating film area edge in the coating film area edge pair.

4. The method according to claim 2, characterized in that The step of determining the reference edge corresponding to the minimum edge distance as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair includes: Calculating first average edge distances from the first coating region edge and the second coating region edge to the first reference edge, and second average edge distances from the first coating region edge and the second coating region edge to the second reference edge respectively; The first average edge distance and the second average edge distance are compared, and a reference edge corresponding to the minimum average edge distance is determined as a target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

5. The method according to any one of claims 2 to 4, characterized in that Determining the edge distances from the edge of the first coating area and the edge of the second coating area to the two reference edges respectively includes: Acquire first image data obtained by collecting images of the first surface of the electrode substrate, and second image data obtained by collecting images of the second surface of the electrode substrate; determining edge position information of an edge of the first coating region and an edge of the second coating region, and reference edge position information of the two reference edges based on the first image data and the second image data; Based on the edge position information and the reference edge position information, the edge distances from the edge of the first coating film area and the edge of the second coating film area to the two reference edges are determined.

6. The method according to any one of claims 2 to 5, characterized in that The step of obtaining a plurality of coating region edge pairs of the electrode substrate includes: Determining a plurality of image combination pairs based on first image data obtained by image acquisition of the first surface of the electrode substrate and second image data obtained by image acquisition of the second surface of the electrode substrate, wherein the image combination pairs include the first image and the second image having the same acquisition area position; performing image edge alignment processing on the first image and the second image; Based on the aligned first image and second image, the first coating region edge in the first image is matched with the second coating region edge in the second image to obtain multiple groups of coating region edge pairs corresponding to each of the image combination pairs.

7. The method according to claim 6, characterized in that The determining of a plurality of image combination pairs based on first image data obtained by image acquisition for the first surface of the electrode substrate and second image data obtained by image acquisition for the second surface of the electrode substrate comprises: determining an image relative adjustment parameter between the first image data and the second image data according to an acquisition region interval parameter and an image size parameter of the first image data and the second image data; Based on the image relative adjustment parameter, the first images of the consecutive frames included in the first image data and the second images of the consecutive frames included in the second image data are paired to obtain a plurality of image combination pairs.

8. The method according to claim 7, characterized in that The determining, based on the acquisition area interval parameter and the image size parameter of the first image data and the second image data, the image relative adjustment parameter of the first image data and the second image data includes: determining a ratio of a capture region interval parameter to an image size parameter of the first image data and the second image data; The ratio is determined as an image relative adjustment parameter of the first image data and the second image data.

9. The method according to any one of claims 6 to 8, characterized in that The determining, according to the first distance data and the second distance data, a coating misalignment amount of the electrode substrate during the coating process includes: Determining a distance data set for each of the image combination pairs based on the first distance data and the second distance data, the distance data set comprising a first distance from an edge of each of the first coating film regions in the first image to a corresponding target reference edge, and a second distance from an edge of each of the second coating film regions in the second image to a corresponding target reference edge; Determining a single-frame coating misalignment amount of each of the image combination pairs based on a first distance and a second distance in the distance data set of each of the image combination pairs; An average coating misalignment amount determined according to the single-frame coating misalignment amount of each of the image combination pairs is obtained, and the average coating misalignment amount is determined as the coating misalignment amount of the electrode substrate during the coating process.

10. A coating misalignment detection device, comprising: A reference side number determination module is used to obtain the coating type of the electrode substrate and determine the reference side number according to the coating type; if the coating type is a one-out-two type, the reference side number is determined to be one; if the coating type is not a one-out-two type, the reference side number is determined to be two; a target reference edge determination module, configured to determine, when there are two reference edges, the target reference edges corresponding to the edges of each coating region of the electrode substrate; the target reference edges being the reference edges corresponding to the case where the least blank area is included when calculating the distance between the edges of each coating region and the reference edges; a distance data determination module, configured to determine first distance data from an edge of a coating region on a first surface of the electrode substrate to a corresponding target reference edge, and second distance data from an edge of a coating region on a second surface of the electrode substrate to a corresponding target reference edge; The coating misalignment amount determination module is used to determine the coating misalignment amount of the electrode substrate during the coating process according to the first distance data and the second distance data.

11. The device according to claim 10, characterized in that The target reference edge determination module is further configured to: Acquire a plurality of pairs of coating region edges of the electrode substrate, wherein the coating region edge pairs include a first coating region edge and a second coating region edge that are located on different surfaces of the electrode substrate and are opposite to each other; Determine the edge distances from the edge of the first coating area and the edge of the second coating area to the two reference edges respectively; The reference edge corresponding to the minimum edge distance is determined as the target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

12. The device according to claim 11, characterized in that The target reference edge determination module is further configured to: Arrange the distances from the edge of the first coating area and the edge of the second coating area to the two reference edges in ascending order; The reference edge corresponding to the leading edge distance is determined as the target reference edge corresponding to the first coating film area edge and the second coating film area edge in the coating film area edge pair.

13. The device according to claim 11, characterized in that The target reference edge determination module is further configured to: Calculating first average edge distances from the first coating region edge and the second coating region edge to the first reference edge, and second average edge distances from the first coating region edge and the second coating region edge to the second reference edge respectively; The first average edge distance and the second average edge distance are compared, and a reference edge corresponding to the minimum average edge distance is determined as a target reference edge corresponding to the first coating area edge and the second coating area edge in the coating area edge pair.

14. The device according to any one of claims 11 to 13, characterized in that The target reference edge determination module is further configured to: Acquire first image data obtained by collecting images of the first surface of the electrode substrate, and second image data obtained by collecting images of the second surface of the electrode substrate; determining edge position information of an edge of the first coating region and an edge of the second coating region, and reference edge position information of the two reference edges based on the first image data and the second image data; Based on the edge position information and the reference edge position information, the edge distances from the edge of the first coating film area and the edge of the second coating film area to the two reference edges are determined.

15. The device according to any one of claims 11 to 14, characterized in that The target reference edge determination module is further configured to: Determining a plurality of image combination pairs based on first image data obtained by image acquisition of the first surface of the electrode substrate and second image data obtained by image acquisition of the second surface of the electrode substrate, wherein the image combination pairs include the first image and the second image having the same acquisition area position; performing image edge alignment processing on the first image and the second image; Based on the aligned first image and second image, the first coating region edge in the first image is matched with the second coating region edge in the second image to obtain multiple groups of coating region edge pairs corresponding to each of the image combination pairs.

16. The device according to claim 15, characterized in that The target reference edge determination module is further configured to: determining an image relative adjustment parameter between the first image data and the second image data according to an acquisition region interval parameter and an image size parameter of the first image data and the second image data; Based on the image relative adjustment parameter, the first images of the consecutive frames included in the first image data and the second images of the consecutive frames included in the second image data are paired to obtain a plurality of image combination pairs.

17. The device according to claim 16, characterized in that The target reference edge determination module is further configured to: determining a ratio of a capture region interval parameter to an image size parameter of the first image data and the second image data; The ratio is determined as an image relative adjustment parameter of the first image data and the second image data.

18. The device according to any one of claims 15 to 17, characterized in that The coating misalignment amount determination module is also used for: Determining a distance data set for each of the image combination pairs based on the first distance data and the second distance data, the distance data set comprising a first distance from an edge of each of the first coating film regions in the first image to a corresponding target reference edge, and a second distance from an edge of each of the second coating film regions in the second image to a corresponding target reference edge; Determining a single-frame coating misalignment amount of each of the image combination pairs based on a first distance and a second distance in the distance data set of each of the image combination pairs; An average coating misalignment amount determined according to the single-frame coating misalignment amount of each of the image combination pairs is obtained, and the average coating misalignment amount is determined as the coating misalignment amount of the electrode substrate during the coating process.

19. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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

21. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.

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