Coating deviation correction control method and apparatus, and computer device and storage medium

Abstract

A coating deviation correction control method and apparatus, and a computer device and a storage medium. The method comprises: acquiring first image data and second image data that are obtained by means of respectively performing image collection on a first surface of an electrode sheet substrate and a second surface of the electrode sheet substrate within a sampling period; on the basis of relative image adjustment parameters of the first image data and the second image data, pairing consecutive frames of first images included in the first image data with consecutive frames of second images included in the second image data, so as to obtain a plurality of image combination pairs; on the basis of the first images and the second images in each image combination pair, determining an edge dislocation value of each image combination pair; acquiring an average edge dislocation value determined on the basis of a plurality of edge dislocation values, and on the basis of the average edge dislocation value, determining a target deviation correction amount during a coating process; and according to the target deviation correction amount, controlling a deviation correction component to perform coating deviation correction. The method can improve the deviation correction accuracy and the deviation correction efficiency of coating deviation correction.

Description

Coating correction control method, device, computer equipment and storage medium

[0001] Cross-references

[0002] This application refers to Chinese Patent Application No. 2024101756221, filed on February 8, 2024, entitled “Coating Correction Control 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 deviation correction control 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, coating correction mostly uses manual correction to correct the electrode coating. The correction quality of this correction method is greatly affected by the experience and quality of the correction personnel, and the correction accuracy is low and the response speed is slow.

[0007] Summary of the Invention

[0008] Based on this, it is necessary to provide a coating correction control method, device, computer equipment, computer-readable storage medium and computer program product that can improve the correction accuracy and correction efficiency in response to the above technical problems.

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

[0010] Acquire 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 within a sampling period;

[0011] 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;

[0012] Based on the image relative adjustment parameter, a first image of a continuous number of frames included in the first image data and a second image of a continuous number of frames included in the second image data are paired to obtain a plurality of image combination pairs; the image combination pairs include the first image and the second image having the same acquisition area position;

[0013] Determining an edge misalignment value for each image combination pair based on the first image and the second image in each image combination pair, wherein the edge misalignment value is used to characterize a degree of regional edge deviation between a first coating region on the first surface of the electrode substrate and a second coating region on the second surface of the electrode substrate;

[0014] Obtaining an average edge misalignment value determined based on a plurality of edge misalignment values, and determining a target deviation correction amount during the coating process according to the average edge misalignment value;

[0015] The correction components are controlled to perform coating correction according to the target correction amount.

[0016] In the above embodiment, the first surface of the electrode substrate and the second surface of the electrode substrate are imaged by image acquisition, and the image relative adjustment parameter is determined by the acquisition area interval parameter and the image size parameter. The images in the first image data and the second image data are paired according to the image relative adjustment parameter, which can effectively pair the first image and the second image with the same acquisition area position, thereby improving 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, and thus obtaining a more accurate edge misalignment value. Since the edge misalignment value of the electrode substrate during the coating process can characterize the first coating area on the first surface of the electrode substrate, it is consistent with the electrode. The degree of regional edge deviation of the second coating area on the second surface of the substrate. Therefore, the edge average misalignment value determined based on multiple edge misalignment values ​​can not only accurately reflect the overall coating area deviation degree of the first coating area and the second coating area of ​​the electrode substrate during the coating process, but also effectively reduce the influence of the determination error of the edge misalignment value on the accuracy of the subsequent target correction amount. The target correction amount in the coating process is determined according to the edge average misalignment value. When the correction component is controlled to perform coating correction according to the target correction amount, the misalignment value between the first coating area and the corresponding second coating area of ​​the electrode substrate after correction can be made close to zero, which effectively improves the correction accuracy and correction efficiency of the coating correction.

[0017] In some embodiments, determining the image relative adjustment parameter of the first image data and the second image data based on the acquisition area interval parameter and the image size parameter of the first image data and the second image data includes:

[0018] determining a ratio of a capture region interval parameter to an image size parameter of the first image data and the second image data;

[0019] The ratio is determined as an image relative adjustment parameter of the first image data and the second image data.

[0020] 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.

[0021] In some embodiments, determining a target correction amount during the coating process based on the average edge misalignment value includes:

[0022] When the absolute value of the average edge misalignment value is greater than a preset correction threshold, determining a correction direction represented by the average edge misalignment value;

[0023] The target deviation amount during the coating process is determined based on the deviation correction direction and the preset deviation correction threshold.

[0024] In the above embodiment, by calling the preset correction threshold and comparing it with the average edge misalignment value, when the absolute value of the average edge misalignment value is greater than the preset correction threshold, the target correction amount can be determined according to the correction direction represented by the average edge misalignment value and the preset correction threshold, thereby reducing the possibility of over-correction and improving the accuracy and efficiency of coating correction.

[0025] In some embodiments, determining a target correction amount during the coating process based on the average edge misalignment value includes:

[0026] When the absolute value of the average edge misalignment value is less than or equal to the preset misalignment threshold, the average edge misalignment value is rounded according to the preset validity requirement to obtain the target correction amount in the coating process.

[0027] In the above embodiment, when it is determined that the average edge misalignment value can be used for correction adjustment, the average edge misalignment value is rounded according to the preset validity requirements, so that the target correction amount can meet the use requirements of the correction component, improve the operational stability of the coating correction, and thus improve the accuracy and efficiency of the coating correction.

[0028] In some embodiments, determining the target deviation correction amount during the coating process based on the average edge misalignment value includes: determining the average edge misalignment value as the target deviation correction amount during the coating process.

[0029] In the above embodiment, by directly determining the average edge misalignment value as the target correction amount in the coating process, the efficiency of determining the target correction amount can be improved to a limited extent, thereby improving the overall correction efficiency of the coating correction.

[0030] In some embodiments, determining a plurality of image combination pairs based on the first image data and the second image data includes:

[0031] In some embodiments, determining an edge misalignment value for each image combination pair based on the first image and the second image in each image combination pair includes:

[0032] Determining, based on the first image and the second image in the image combination pair, a first distance from an edge of a coating region on a first surface of the electrode substrate in the first image to a reference edge, and a second distance from an edge of a coating region on a second surface of the electrode substrate in the second image to the reference edge;

[0033] Determining an initial misalignment value set based on the first distance and the second distance; the initial misalignment value set includes at least two initial misalignment values;

[0034] An initial average misalignment value obtained according to the initial misalignment value set is determined as the edge misalignment value of the image combination pair.

[0035] In the above embodiment, by determining a first distance from the edge of the coating area on the first surface of the electrode substrate to the reference edge in the first image, and a second distance from the edge of the coating area on the second surface of the electrode substrate to the reference edge in the second image, an initial misalignment value set of each image combination pair is determined, and then the initial average misalignment value of each initial misalignment value set is respectively determined as the edge misalignment value of each image combination pair, which can effectively improve the accuracy of the edge misalignment value, thereby providing an accurate data basis for the subsequent calculation of the target correction amount.

[0036] In some embodiments, determining, based on the first image and the second image in the image combination pair, a first distance from an edge of a coating area on the first surface of the electrode substrate in the first image to a reference edge, and a second distance from an edge of a coating area on the second surface of the electrode substrate in the second image to the reference edge, comprises:

[0037] According to the coating type of the electrode substrate, determine the number of reference edges corresponding to the edges of each coating area;

[0038] When there are two reference edges, determining 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;

[0039] determining, based on a first image in the image combination pair, a first distance from an edge of a coating region on a first surface of the electrode substrate in the first image to a corresponding target reference edge;

[0040] Based on the second image in the image combination pair, a second distance from an edge of a coating area on the second surface of the pole piece substrate in the second image to a corresponding target reference edge is determined.

[0041] In the above embodiment, the number of reference edges corresponding to the edges of each coating area is first determined by the coating type of the electrode substrate. When the number of reference edges is two, the target reference edge corresponding to the case where the least blank area is included when calculating the distance can be determined for the edge of each coating area, thereby reducing the interference caused by the blank area on the surface of the electrode substrate during the coating correction process, and effectively improving the accuracy of determining the first distance and the second distance.

[0042] In one embodiment, determining the number of reference edges corresponding to the edges of each coating area according to the coating type of the electrode substrate includes:

[0043] In the case where the coating type of the electrode substrate is one-out-two type, the number of reference edges corresponding to the edge of each coating area is determined to be one;

[0044] In the case where the coating type is not a one-out-two type, the number of reference edges corresponding to the edges of each coating region is determined to be two.

[0045] 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.

[0046] In some embodiments, controlling a correction component to correct the electrode substrate according to a target correction amount includes:

[0047] Sending a correction instruction generated based on the target correction amount to the correction component, the correction instruction is used to instruct the correction component to perform correction processing on the electrode substrate;

[0048] When the correction completion signal is received from the correction component, it is determined to enter the next sampling cycle, and the steps of obtaining the first image data obtained by image capture of the first surface of the electrode substrate and the second image data obtained by image capture of the second surface of the electrode substrate are returned within one sampling cycle.

[0049] In the above embodiment, after the correction processing is performed according to the target correction amount, the controller can directly control the system to perform the next sampling cycle. Through the closed-loop correction logic control, the target correction amount of the electrode substrate can be accurately determined in real time during the coating process, and the electrode substrate can be automatically adjusted according to the target correction amount, which effectively improves the correction accuracy and correction efficiency of the coating correction.

[0050] In a second aspect, the present application further provides a coating deviation correction control device, the device comprising:

[0051] An edge misalignment value acquisition module is configured to acquire first image data obtained by image acquisition on the first surface of the electrode substrate and second image data obtained by image acquisition on the second surface of the electrode substrate within a sampling period; determine image relative adjustment parameters for the first image data and the second image data based on acquisition area interval parameters and image size parameters of the first image data and the second image data; pair the first image of a continuous number of frames included in the first image data with the second image of a continuous number of frames included in the second image data based on the image relative adjustment parameters to obtain a plurality of image combination pairs; the image combination pairs include the first image and the second image having the same acquisition area position; determine the edge misalignment value of each image combination pair based on the first image and the second image in each image combination pair, the edge misalignment value being used to characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate;

[0052] a target deviation correction amount determination module, configured to determine a target deviation correction amount during the coating process according to an average edge misalignment value determined based on a plurality of edge misalignment values;

[0053] The correction control module is used to control the correction components to perform coating correction according to the target correction amount.

[0054] 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.

[0055] 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.

[0056] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which implements the steps of the above method when executed by a processor.

[0057] The above-mentioned coating correction control method, device, computer equipment, storage medium and computer program product, since the edge misalignment value of the electrode substrate during the coating process can characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate, the edge average misalignment value determined based on multiple edge misalignment values ​​can not only accurately reflect the overall coating area deviation degree of the first coating area and the second coating area of ​​the electrode substrate during the coating process, but also effectively reduce the impact of the determination error of the edge misalignment value on the accuracy of the subsequent target correction amount. The target correction amount in the coating process is determined according to the edge average misalignment value. When the correction component is controlled to perform coating correction according to the target correction amount, the misalignment value between the first coating area and the corresponding second coating area of ​​the electrode substrate after correction can be made close to zero, thereby effectively improving the correction accuracy and correction efficiency of the coating correction. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] 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:

[0059] FIG1 is a schematic structural diagram of a coating correction system according to one embodiment;

[0060] FIG2 is a schematic flow chart of a coating deviation correction control method according to an embodiment;

[0061] 3 is a flow chart illustrating the steps of obtaining an average edge misalignment value determined based on multiple edge misalignment values, and determining a target deviation correction amount during coating according to the average edge misalignment value, in one embodiment;

[0062] 4 is a flow chart illustrating the steps of obtaining an average edge misalignment value determined based on multiple edge misalignment values, and determining a target deviation correction amount during coating according to the average edge misalignment value, in another embodiment;

[0063] FIG5 is a schematic flow chart of the steps of obtaining multiple edge misalignment values ​​of a pole piece substrate during a coating process in one embodiment;

[0064] FIG6 is a schematic diagram of the arrangement position of an image acquisition device in one embodiment;

[0065] FIG7 is a flowchart illustrating a step of determining multiple image combination pairs based on first image data and second image data in one embodiment, wherein the image combination pairs include first images and second images having the same acquisition area position;

[0066] FIG8 is a flowchart illustrating a step of determining an edge misalignment value of each image combination pair based on the first image and the second image in each image combination pair in one embodiment;

[0067] FIG9 is a schematic diagram of a reference edge when the coating type is a one-out-two type in one embodiment;

[0068] FIG10 is a schematic diagram of a reference edge when the coating type is one-out-eight type in one embodiment;

[0069] FIG11 is a schematic flow chart of a coating deviation correction control method according to another embodiment;

[0070] FIG12 is a schematic diagram of a pole piece substrate when the coating type is one-out-four type in one embodiment;

[0071] FIG13 is a structural block diagram of a coating deviation correction control device in one embodiment;

[0072] FIG14 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0073] 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.

[0074] 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.

[0075] 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.

[0076] 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).

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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 impact the battery's ultimate performance. The dimensions of the coating's A and B surfaces, including position, width, and misalignment, significantly impact battery capacity and safety.

[0081] 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. This can cause the coating on both sides of the electrode to be misaligned. If this is not discovered and corrected in time, it may seriously affect the performance of the battery and increase the production cost of the battery. Therefore, correcting the deviation of the electrode coating is an important step to improve coating production efficiency.

[0082] In order to improve the correction accuracy and efficiency when correcting the electrode coating, multiple edge misalignment values ​​of the electrode substrate during the coating process can be obtained. Since the edge misalignment value of the electrode substrate during the coating process can characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate, the edge average misalignment value determined based on multiple edge misalignment values ​​can accurately determine the edge deviation degree of the first coating area and the second coating area of ​​the electrode substrate during the coating process. Subsequently, the target correction amount in the coating process is determined according to the edge average misalignment value, and the correction mechanism is controlled to automatically correct the electrode substrate according to the target correction amount, which can effectively improve the correction accuracy and correction efficiency of the coating correction.

[0083] The coating correction control method provided in the embodiment of the present application can be applied to the coating correction system 100 shown in Figure 1. The coating correction system 100 includes a first die 101, a second die 102, an oven 103, a correction mechanism 104 and a controller (not shown in the figure).

[0084] 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.

[0085] Among them, the controller can be communicatively connected with the first die 101, the second die 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 multiple edge misalignment values ​​of the electrode substrate 105 during the coating process, and the edge misalignment value is used to characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate. It can be understood that the first surface of the electrode substrate can be the A side or the B side, and the second surface of the electrode substrate refers to the side opposite to the first surface of the electrode substrate. The controller obtains the average edge misalignment value determined based on the multiple edge misalignment values, and determines the target correction amount in the coating process according to the average edge misalignment value, and controls the correction component to perform coating correction according to the target correction amount. Among them, the controller can be any control chip that can perform logic processing tasks, such as a microcontroller MCU.

[0086] The correction component may be any system component capable of correcting the electrode substrate 105 during the coating process. For example, in some embodiments, the correction component may be the second die head 102. In other embodiments, the correction component may be the correction mechanism 104.

[0087] In some embodiments, after the coated B surface is dried in an oven, the edge misalignment value of the A surface and the B surface of the electrode substrate can be detected by manual inspection.

[0088] 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.

[0089] 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.

[0090] In one embodiment, as shown in FIG2 , a coating correction control method is provided. The method is described by taking the controller of the coating correction system in FIG1 as an example, including the following steps:

[0091] S202, obtaining multiple edge misalignment values ​​of the electrode substrate during the coating process, the edge misalignment values ​​being used to characterize the degree of regional edge deviation between a first coating area on the first surface of the electrode substrate and a second coating area on the second surface of the electrode substrate.

[0092] 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.

[0093] In order to improve the coating efficiency, the currently commonly used coating processes are double-sided coating processes, that is, both 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.

[0094] When coating the first surface and the second surface, the area coated with the slurry is called the coating area, and the area not coated with the slurry is called the blank area, which can also be called the tab area. Therefore, the coating area of ​​the first surface is called the first coating area, and the coating area of ​​the second surface is called the second coating area. It is understandable that there can be multiple first coating areas and second coating areas on the first surface and the second surface, respectively. 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.

[0095] The edge misalignment value can be used to characterize the degree of regional edge deviation between the first and second coating regions. When there is a deviation between the edges of the first and second coating regions, the performance of the produced battery may be affected, necessitating correction. It is understood that the specific number of edge misalignment values ​​can be determined based on the specific number of first and second coating regions.

[0096] In some embodiments, the edge misalignment value can be determined based on the regional edge position of the first coating region and the regional edge position of the corresponding second coating region. It is understood that the regional edge of the coating region refers to the edge along the length direction of the coating region, which can also be called the longitudinal direction of the pole piece.

[0097] In some embodiments, the edge misalignment value can be manually measured, for example, by actually measuring the edge misalignment value between the edge of the first coating region and the edge of the corresponding second coating region using a length measuring tool. In this case, the controller can obtain multiple edge misalignment values ​​manually input by the operator for subsequent correction control.

[0098] In some embodiments, the edge misalignment value can be determined by capturing images of the first surface and the second surface using an image capture device as shown in FIG1 . 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. Misalignment detection is then performed based on the image capture data to obtain an edge misalignment value that characterizes the degree of regional edge deviation between the first coating region and the second coating region. A controller can then be in communication with the image capture device to directly determine multiple edge misalignment values ​​of the electrode substrate during the coating process based on the image data captured by the image capture device.

[0099] In some optional embodiments, the controller can obtain multiple edge misalignment values ​​of the electrode substrate during the coating process, and understand the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate based on the multiple edge misalignment values.

[0100] S204, obtaining an average edge misalignment value determined based on multiple edge misalignment values, and determining a target deviation correction amount in the coating process according to the average edge misalignment value.

[0101] The average edge misalignment value can be used to characterize the overall coating area deviation degree of all first coating areas and their corresponding second coating areas during the coating process of the electrode substrate.

[0102] In some optional embodiments, after obtaining multiple edge misalignment values ​​of the electrode substrate during the coating process, the controller can determine an average edge misalignment value based on the multiple edge misalignment values, and determine a target correction amount during the coating process based on the average edge misalignment value. Since the average edge misalignment value can characterize the overall coating area deviation degree of all first coating regions and their corresponding second coating regions during the coating process of the electrode substrate, performing coating correction based on the target correction amount determined based on the average edge misalignment value can make the overall coating area deviation degree of the electrode substrate after correction approach zero.

[0103] In some embodiments, the average edge misalignment value can be directly determined as the target correction amount during the coating process. By directly determining the average edge misalignment value as the target correction amount during the coating process, the efficiency of determining the target correction amount can be limitedly improved, thereby improving the overall correction efficiency of the coating correction process.

[0104] S206, controlling the correction component to perform coating correction according to the target correction amount.

[0105] It can be understood that there is a communication connection between the controller and the correction component. After the controller determines the target correction amount, it can control the correction component to perform coating correction according to the target correction amount.

[0106] In some embodiments, the controller can generate a correction instruction based on the target correction amount and send the correction instruction to the correction component, which instructs the correction component to correct the electrode substrate through the correction instruction. After receiving the correction instruction, the correction component interprets the correction instruction and operates according to the target correction amount contained in the correction instruction, thereby achieving the coating correction effect.

[0107] In some embodiments, the controller can control the working area of ​​the second die to move to perform coating correction. In other embodiments, the controller can also control the correction mechanism to swing up and down to correct the electrode substrate to achieve a correction effect.

[0108] In the above-mentioned coating correction control method, since the edge misalignment value of the electrode substrate during the coating process can characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate, the edge average misalignment value determined based on multiple edge misalignment values ​​can not only accurately reflect the overall coating area deviation degree of the first coating area and the second coating area of ​​the electrode substrate during the coating process, but also effectively reduce the influence of the determination error of the edge misalignment value on the accuracy of the subsequent target correction amount. The target correction amount in the coating process is determined according to the edge average misalignment value. When the correction component is controlled to perform coating correction according to the target correction amount, the misalignment value between the first coating area and the corresponding second coating area of ​​the electrode substrate after correction can be made close to zero, thereby effectively improving the correction accuracy and correction efficiency of the coating correction.

[0109] During the coating process of the electrode substrate, considering that there will be corresponding surface tension on the surface of the electrode substrate, in order not to affect the coating effect of the electrode substrate during the correction process, in some embodiments, as shown in FIG3 , S204 obtains an average edge misalignment value determined based on multiple edge misalignment values, and determines a target correction amount in the coating process according to the average edge misalignment value, including the following steps:

[0110] S302 : When the absolute value of the average edge misalignment value is greater than a preset correction threshold, determine a correction direction represented by the average edge misalignment value.

[0111] The preset correction threshold is a judgment parameter used to determine whether excessive correction will occur. It is understandable that the preset correction threshold can be determined by the designer based on the actual correction parameters of the electrode substrate and / or the correction component. When the absolute value of the average edge misalignment value is greater than the preset correction threshold, it can be said that the current average edge misalignment value is too large, that is, the degree of misalignment between the first coating area on the first surface and the corresponding second coating area on the second surface is too large. If correction is performed directly according to the average edge misalignment value, it is very likely to cause excessive correction, which may lead to wrinkles or breaks in the coating, affecting the coating effect.

[0112] The average edge misalignment value is used to characterize the degree of deviation of the overall coating area of ​​each first coating area and its corresponding second coating area of ​​the electrode substrate during the coating process. The average edge misalignment value can be positive or negative when calculated. The positive and negative here do not represent the size of the average edge misalignment value, but characterize the correction direction. For example, when it is determined that the average edge misalignment value is positive, the correction component should correct the deviation in the first correction direction. Then, when the average edge misalignment value is negative, the correction component should correct the deviation in the second correction direction. The first correction direction and the second correction direction are relative directions. 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.

[0113] In some optional embodiments, after determining the average edge misalignment value based on multiple edge misalignment values, the controller calls a preset correction threshold and compares the absolute value of the average edge misalignment value with the preset correction threshold. When the absolute value of the average edge misalignment value is greater than the preset correction threshold, it means that the absolute value of the current average edge misalignment value is too large, and there is a possibility of over-correction. The correction cannot be performed directly according to the average edge misalignment value. The controller will determine the correction direction represented by the average edge misalignment value, so as to facilitate subsequent correction according to the correction direction, thereby reducing the possibility of poor coating effect due to incorrect correction direction.

[0114] S304: Determine a target deviation correction amount during the coating process according to the deviation correction direction and a preset deviation correction threshold.

[0115] In some optional embodiments, since the preset correction threshold is a parameter used to determine whether excessive correction will occur, if the average edge misalignment value is determined to be excessive, the preset correction threshold is the currently adjustable maximum correction amount. After obtaining the correction direction represented by the average edge misalignment value, the controller can determine the target correction amount for the coating process based on the correction direction and the preset correction threshold.

[0116] For example, when the average edge misalignment value is -0.58 and the preset correction threshold is 0.5, it can be determined that the absolute value of the average edge misalignment value |0.58|> the preset correction threshold 0.5, and the controller can then determine the target correction amount to be -0.5.

[0117] In the above embodiment, by calling the preset correction threshold and comparing it with the average edge misalignment value, when the absolute value of the average edge misalignment value is greater than the preset correction threshold, the target correction amount can be determined according to the correction direction represented by the average edge misalignment value and the preset correction threshold, thereby reducing the possibility of over-correction and improving the accuracy and efficiency of coating correction.

[0118] In other embodiments, as shown in FIG. 4 , S204 obtains an average edge misalignment value determined based on multiple edge misalignment values, and determines a target correction amount in the coating process according to the average edge misalignment value, including the following steps:

[0119] S402 , when the absolute value of the average edge misalignment value is less than or equal to a preset misalignment threshold, the average edge misalignment value is rounded according to a preset validity requirement to obtain a target deviation correction amount during the coating process.

[0120] The validity requirement is a data requirement set based on the actual correction parameter requirements of the correction component. Since the average edge misalignment value is the data value obtained by averaging multiple edge misalignment values, in some cases, the average edge misalignment value may have a large number of significant digits after the decimal point, which does not meet the actual correction parameter requirements of the correction component. Therefore, designers can set the validity requirement based on the actual correction parameter requirements of the correction component. If it is determined that the average edge misalignment value can be used for correction adjustment, the average edge misalignment value can be rounded according to the preset validity requirement to obtain the target correction amount that meets the actual correction parameter requirements of the correction component.

[0121] In some embodiments, the effectiveness requirement may be that the target correction amount is a multiple of 0.1, and the controller may round off the average edge misalignment value to obtain the final target correction amount. For example, when the average edge misalignment value is 0.33, 0.3 may be determined as the target correction amount.

[0122] It can be understood that when the absolute value of the average edge misalignment value is less than or equal to the preset misalignment threshold, it can be considered that the current correction based on the average edge misalignment value will not lead to excessive correction.

[0123] Therefore, in some optional embodiments, when the average edge misalignment value is less than or equal to a preset misalignment threshold, the controller rounds the average edge misalignment value according to a preset validity requirement to obtain a target correction amount during the coating process.

[0124] In the above embodiment, when it is determined that the average edge misalignment value can be used for correction adjustment, the average edge misalignment value is rounded according to the preset validity requirements, so that the target correction amount obtained can meet the use requirements of the correction component, improve the operational stability of the coating correction, and thus improve the accuracy and efficiency of the coating correction.

[0125] The edge misalignment value detection of the electrode substrate during the coating process is an important step in the coating correction control. The accuracy of the edge misalignment value detection will directly affect the accuracy of the subsequent target correction amount. The following will use several embodiments to illustrate how to accurately obtain the edge misalignment value during the coating process.

[0126] In some embodiments, as shown in FIG5 , obtaining multiple edge misalignment values ​​of the electrode substrate during the coating process includes:

[0127] S502 , acquiring 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 within a sampling period.

[0128] To improve detection accuracy, designers can pre-set a sampling period for the image acquisition device. The image acquisition device can sample the first and second surfaces of the electrode substrate multiple times during the sampling period to obtain corresponding first and second image data. It is understood that 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. The specific number of image frames included in the first and second image data is determined by the sampling period pre-set by the designer and the operating parameters of the image acquisition device.

[0129] In some optional embodiments, the controller is communicatively connected to the image acquisition device. When entering the acquisition cycle, the controller can generate an image acquisition instruction and send the image acquisition instruction to the image acquisition device. The image acquisition device responds to the received image acquisition instruction and respectively acquires 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.

[0130] S504: Determine a plurality of image combination pairs based on the first image data and the second image data; the image combination pairs include the first image and the second image having the same acquisition area position.

[0131] 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.

[0132] In order to enable the image acquisition device to simultaneously capture images of the first surface and the second surface, as shown in FIG6 , 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.

[0133] Since the edge misalignment value is a parameter used to characterize the degree of edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area corresponding to the second surface of the electrode substrate, in order to improve the detection accuracy of the edge misalignment value, 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.

[0134] In some optional embodiments, after the controller obtains the first image data and the second image data, it 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 acquisition area position.

[0135] S506 : Determine an edge misalignment value of each image combination pair based on the first image and the second image in each image combination pair.

[0136] After obtaining multiple groups of image combination pairs, the controller can perform image processing on the first image and the second image in the multiple groups of image combination pairs, determine the regional edge misalignment value between the first coating area captured by the first image and the second coating area captured by the second image in each image combination pair, and obtain the edge misalignment value of each image combination pair.

[0137] It can be understood that in some embodiments, the first image of the image combination pair may include multiple first coating areas, and similarly, the second image may also include multiple second coating areas corresponding to the first image. The controller can obtain multiple initial edge misalignment values ​​based on the first image and the second image. The initial edge misalignment value is used to characterize the regional edge misalignment value between a certain first coating area and the corresponding second coating area, and then the average value of the multiple initial edge misalignment values ​​is determined as the edge misalignment value of the image combination pair.

[0138] In the above embodiment, image acquisition is performed on the first surface of the electrode substrate and the second surface of the electrode substrate by image acquisition, and the first image and the second image with the same acquisition area position are combined into an image combination pair, which can improve 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. When determining the edge misalignment value subsequently, it is only necessary to intuitively and accurately determine the edge misalignment value used to characterize the regional edge misalignment of the first coating area in the first image and the second coating area in the second image based on the first image and the second image in the image combination pair, thereby effectively improving the accuracy and efficiency of determining each edge misalignment value.

[0139] Furthermore, in some embodiments, as shown in FIG7 , step S504 determines a plurality of image combination pairs based on the first image data and the second image data; the image combination pairs include the first image and the second image with the same acquisition area position, and includes the following steps:

[0140] S702 : Determine relative image 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] In some embodiments, determining 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, as well as the image size parameters, includes: determining the ratio of the acquisition area interval parameters of the first image data and the second image data to the image size parameters; and determining the ratio as the image relative adjustment parameters of the first image data and the second image data.

[0146] For example, using the acquisition area interval parameter L and the image size parameter M as the image length, the controller can determine F = L / M as the image relative adjustment parameter for the first and second image data. By determining the ratio of the acquisition area interval parameter to the image size parameter for the first and second image data as the image relative adjustment parameter, the effect of inaccurate image matching caused by the different installation positions of the first and second acquisition devices can be effectively eliminated, thereby improving the matching accuracy of the image combination pairs obtained after subsequent image matching based on the image relative adjustment parameter.

[0147] S704 : Pairing 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 based on the image relative adjustment parameter to obtain a plurality of image combination pairs.

[0148] 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.

[0149] 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 FIG6 , 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.

[0150] 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.

[0151] For example, when the first acquisition device and the second acquisition device each capture 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 ensure that the areas of the first image and the second image for calculating the edge misalignment value are in the same area, Nb1 and Na3 can be determined as a group of image combination pairs, Nb2 and Na4 can be determined as a group of image combination pairs, and so on. 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), NaN).

[0152] 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 of the subsequent calculation of the misalignment value based on the paired image combination, thereby improving the accuracy and efficiency of coating correction.

[0153] After obtaining the image combination pairs including the paired first image and the second image, in some embodiments, as shown in FIG8 , determining the edge misalignment value of each image combination pair based on the first image and the second image in each image combination pair includes:

[0154] S802, based on the first image and the second image in the image combination pair, determine a first distance from the edge of the coating area on the first surface of the electrode substrate in the first image to the reference edge, and a second distance from the edge of the coating area on the second surface of the electrode substrate in the second image to the reference edge.

[0155] The reference edge can be considered as the edge of the electrode substrate along the length direction. In the image, the reference edge can be considered as the edge of the electrode substrate along the length direction in the image acquisition area corresponding to the image. Since the first acquisition device and the second acquisition device are triggered to acquire images simultaneously, the distance difference obtained by comparing the distance from the edge of each coating area to the reference edge can reflect the degree of regional edge deviation between the first coating area and the corresponding second coating area.

[0156] In some optional embodiments, after obtaining multiple sets of image combination pairs, the controller determines, based on the first image and the second image in the image combination pair, a first distance from the edge of the coating area of ​​the first coating area on the first surface of the electrode substrate in the first image to the reference edge, and a second distance from the edge of the coating area of ​​the second coating area on the second surface of the electrode substrate in the second image to the reference edge.

[0157] It can be understood that in the image, the electrode substrate has two edges along the length direction. In some embodiments, any one of the two edges can be determined as the reference edge, and the distance from the edge of the coating area of ​​each coating area to the reference edge can be calculated.

[0158] Since there are coated areas and blank areas on the electrode substrate, the blank areas are prone to wrinkling during movement due to factors such as tension. In order to reduce the interference of wrinkling of the electrode tab, in other embodiments, the controller can determine the target reference edge corresponding to the edge of each coating area according to the coating type of the electrode substrate. When determining the edge misalignment value, the controller determines the first distance 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 from the edge of the coating area on the second surface of the electrode substrate to the corresponding target reference edge.

[0159] Further, in some embodiments, S802, based on the first image and the second image in the image combination pair, determines the first distance from the edge of the coating area on the first surface of the electrode substrate in the first image to the reference edge, and the second distance from the edge of the coating area on the second surface of the electrode substrate in the second image to the reference edge, including: determining the number of reference edges corresponding to each coating area edge according to the coating type of the electrode substrate, and when the number of reference edges is two, determining the target reference edge corresponding to each coating area edge of the electrode substrate; the target reference edge is the reference edge corresponding to the case where the least blank area is included when calculating the distance between each coating area edge and the reference edge. Based on the first image in the image combination pair, determine the first distance from the edge of the coating area on the first surface of the electrode substrate in the first image to the corresponding target reference edge. Based on the second image in the image combination pair, determine the second distance from the edge of the coating area on the second surface of the electrode substrate in the second image to the corresponding target reference edge.

[0160] In the above embodiment, the number of reference edges corresponding to the edges of each coating area is first determined by the coating type of the electrode substrate. When the number of reference edges is two, the target reference edge corresponding to the case where the least blank area is included when calculating the distance can be determined for the edge of each coating area, thereby reducing the interference caused by the blank area on the surface of the electrode substrate during the coating correction process, and effectively improving the accuracy of determining the first distance and the second distance.

[0161] Determining the target reference edges corresponding to the edges of each coating area according to the coating type of the electrode substrate may include: determining the number of reference edges according to the coating type of the electrode substrate, and when the number of reference edges is two, determining the target reference edges corresponding to the edges of each coating area of ​​the electrode substrate.

[0162] In some optional embodiments, as shown in FIG9 , when the coating type is a one-out-two type, the number of reference edges may be determined to be one.

[0163] In other optional embodiments, when the coating type is not one-out-two type, the number of reference edges can be determined to be two. For example, when the coating type is one-out-three, one-out-four, one-out-six, one-out-eight, one-out-ten, one-out-twelve, etc., the number of reference edges can be determined to be two.

[0164] 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.

[0165] Figure 10 is a schematic diagram of the reference edge corresponding to the coating type of one out of eight. Taking the coating type of one out of eight as an example, it can be seen from Figure 10 that in the case of the one out of eight type, two reference lines can be used, and the controller can determine the target reference line of each coating area edge based on the distance from each coating area edge to the two reference lines, for example, the reference line with the shortest distance is determined as the target reference line of the coating area edge. The target reference line of each coating area edge can also be determined based on the number of coating areas, for example, the first reference line on the left is determined as the target reference line corresponding to the edge of each coating area in the two pairs of coating areas on the left, and the second reference line on the right is determined as the target reference line corresponding to the edge of each coating area in the two pairs of coating areas on the right.

[0166] It can be understood that different reference edges correspond to different correction directions, that is, the positive and negative values ​​of the calculated distance are also different. For example, in Figure 10, if the ± direction is defined by the misalignment value calculated by the first reference line, then the misalignment value calculated by the second reference line needs to be added with a "-".

[0167] In the case of non-one-out-two type, by setting two reference edges, the interference caused by the wrinkling of the tabs in the blank area can be effectively reduced when calculating the misalignment value, and the calculation accuracy of the edge misalignment value can be improved, thereby improving the accuracy and efficiency of coating correction.

[0168] S804: Determine an initial misalignment value set based on the first distance and the second distance; the initial misalignment value set includes at least two initial misalignment values.

[0169] Among them, the initial misalignment value refers to the regional misalignment value between the relative first coating area and the second coating area. It can be understood that a frame of image contains at least one coating area, then in a set of image combination pairs, the first image and the second image include at least one set of corresponding coating areas, that is, the first coating area and the second coating area corresponding to each other, such as the one-out-of-two type shown in Figure 9, each coating area will have two regional edges, such as edge 1 and edge 2 of the coating area on side A in Figure 9, and edge 3 and edge 4 of the coating area on side B. Therefore, each set of image combination pairs will include at least two first distances and two second distances, such as AL1, AL2 and BL1 and BL2 in Figure 9. The initial misalignment value is determined based on the two first distances and the two second distances, then each set of image combination pairs will have at least two initial misalignment values, such as AL1-BL1 and AL2-BL2.

[0170] In some optional embodiments, the controller may determine at least two initial misalignment values ​​of the image combination pair based on the acquired first distance and second distance to obtain an initial misalignment value set.

[0171] S806: Determine the initial average misalignment value obtained according to the initial misalignment value set as the edge misalignment value of the image combination pair.

[0172] After obtaining the initial misalignment value set of the image combination pair, the controller determines an initial average misalignment value according to the initial misalignment value set, and determines the initial average misalignment value as the edge misalignment value of the image combination pair.

[0173] In the above embodiment, by determining a first distance from the edge of the coating area on the first surface of the electrode substrate to the reference edge in the first image, and a second distance from the edge of the coating area on the second surface of the electrode substrate to the reference edge in the second image, an initial misalignment value set of each image combination pair is determined, and then the initial average misalignment value of each initial misalignment value set is respectively determined as the edge misalignment value of each image combination pair, which can effectively improve the accuracy of the edge misalignment value, thereby providing an accurate data basis for the subsequent calculation of the target correction amount.

[0174] After the target deviation correction amount is accurately determined, the electrode substrate can be corrected and adjusted according to the target deviation correction amount. In some embodiments, based on the coating deviation correction method shown in FIG4 , the deviation correction mechanism is controlled to correct the electrode substrate according to the target deviation correction amount, including:

[0175] A correction instruction generated based on the target correction amount is sent to the correction component, which instructs the correction component to perform correction processing on the electrode substrate. Upon receiving a correction completion signal fed back by the correction component, it is determined to enter the next sampling cycle, and the process returns to the step of acquiring 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 within the sampling cycle.

[0176] In some optional embodiments, after determining the target correction amount, the controller can generate a correction instruction based on the target correction amount, send the correction instruction to the correction component, and start the correction cycle. The correction component responds to the received correction instruction and performs correction processing on the electrode substrate. After the correction is completed, the correction component will generate a correction completion signal and feed the correction completion signal back to the controller. The controller receives the correction completion signal, determines that it can enter the next sampling cycle, and returns to execute the steps of acquiring the first image data obtained by image acquisition of the first surface of the electrode substrate within a sampling cycle, and the second image data obtained by image acquisition of the second surface of the electrode substrate.

[0177] In some embodiments, the correction component determines that the correction is completed when the correction time reaches a preset correction time. It can be understood that the preset correction time can be determined by the designer based on the movement time required for the electrode substrate to move from the position of the correction component to the image acquisition area of ​​the image acquisition device. For example, the movement time required for the electrode substrate to move from the position of the correction component to the image acquisition area can be determined as the preset correction time. When the correction time reaches the preset correction time, it means that the electrode substrate in the current image acquisition area is the electrode substrate after correction adjustment, and the controller can control the image acquisition device to continue to apply coating correction to the electrode substrate after correction.

[0178] In the above embodiment, after the correction processing is performed according to the target correction amount, the controller can directly control the system to enter the next sampling cycle. Through closed-loop correction logic control, the target correction amount of the electrode substrate can be accurately determined in real time during the coating process, and the electrode substrate can be automatically adjusted according to the target correction amount, effectively improving the correction accuracy and correction efficiency of the coating correction.

[0179] In some embodiments, as shown in FIG11 , a coating correction control method is provided, which is described by taking the coating correction system shown in FIG1 as an example. The coating correction control method specifically includes the following steps:

[0180] S1101, acquiring first image data and second image data obtained by capturing the coating surfaces A and B multiple times in a current capture cycle.

[0181] 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.

[0182] N sets of images can be generated 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 can be 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.

[0183] S1102, calculating the initial offset values ​​of each coating area of ​​coating surface A and coating surface B through offset logic.

[0184] Among them, the misalignment logic refers to the calculation logic for calculating the initial misalignment value of each coating area. The misalignment logic is explained by taking the electrode substrate with a coating type of one out of four as an example. As shown in Figure 12, the electrode substrate with a coating type of one out of four corresponds to two reference lines, and the coating 1 corresponding to the AB surface uses the first reference line as the target reference line, and the coating 2 corresponding to the AB surface uses the second reference line as the target reference line. The controller determines the distance from each coating area to the reference line, and can obtain the first distance AL1, AL2, AL3 and AL4 of the coating on the A surface, and the second distance BL1, BL2, BL3 and BL4 of the coating on the B surface. Based on the first distance and the second distance, the controller can determine the initial misalignment value of the coating on the AB surface, where AB surface misalignment 1 = AL1-BL1, AB surface misalignment 2 = AL2-BL2, AB surface misalignment 3 = AL3-BL3, and AB surface misalignment 4 = AL4-BL4. The initial misalignment values ​​calculated corresponding to misalignments 1, 2, 3, and 4 are replaced by a, b, c, and d.

[0185] S1103: Sum up the initial misalignment values ​​and take the average value as the edge misalignment value x.

[0186] The controller sums the initial misalignment values ​​for each image pair and averages them to obtain an edge misalignment value of x = (a + b + c + d) / 4. The edge misalignment value represents the degree of regional edge deviation between all first coating areas and the corresponding second coating areas in each image pair. Determining the edge misalignment value by taking the average value can better reduce the impact of the edge misalignment values ​​of certain areas with excessive deviations on the overall edge misalignment value within the image pair, providing a data foundation for subsequently obtaining an accurate average edge misalignment value.

[0187] S1104 , averaging the x values ​​in the N groups of image pairs to obtain an average edge misalignment value y.

[0188] It can be understood that N groups of picture combination pairs will have N edge misalignment values ​​x, namely x1, x2, x3...xN, and the average edge misalignment value y is obtained after taking the average, y = (x1+x2+x3+x4+x5+x6+...+xN) / N. The edge average misalignment value can characterize the overall coating area deviation degree of all the first coating areas and their corresponding second coating areas of the electrode substrate during the coating process. Similarly, by determining the edge average misalignment value by taking the average value, the error degree of the edge misalignment value determined in each group of image combination pairs can be further averaged, which effectively reduces the influence of the generation error of the edge misalignment value on the final target correction amount, improves the accuracy of the target correction amount, and thus improves the accuracy and correction efficiency of the subsequent coating correction based on the target correction amount.

[0189] S1105: The average edge misalignment value y is calculated using the correction closed-loop logic to obtain the final target correction amount Y.

[0190] It can be understood that the closed-loop correction logic refers to the calculation logic of how to determine the target correction amount Y based on the average edge misalignment value y. The following is an example of the closed-loop correction logic:

[0191] After obtaining the average edge misalignment value y, the controller compares y with a preset correction threshold value, which is 0.5.

[0192] When the absolute value of y |y|>0.5, the controller determines the target correction amount Y=0.5, and the correction direction is consistent with the correction direction represented by y.

[0193] When the absolute value of y |y|≦0.5, the controller determines the target deviation correction amount Y=rounded to 0.1 times of y.

[0194] S1106, sending the target deviation correction amount Y to the deviation correction mechanism, which receives the target deviation correction amount Y and performs a deviation correction action.

[0195] The controller generates a correction instruction based on the target correction amount Y and sends the correction instruction to the correction mechanism. The correction mechanism responds to the correction instruction, performs correction action according to the target correction amount, and enters the correction cycle. When the first correction cycle starts, the CCD will continue to take pictures and detect as the pole piece moves. When the pole piece walking distance is greater than F, a new sampling cycle will start and the controller will return to execute S1201.

[0196] The coating correction control method in this embodiment uses the AB surface size measured by CCD, calculates the correction amount through the offset closed-loop logic, and controls the correction mechanism or the coating mechanism to automatically adjust according to the correction amount, so that the offset size of the coating AB surface is within the specification requirements, effectively improving the accuracy and efficiency of the coating correction.

[0197] 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.

[0198] Based on the same inventive concept, the present application also provides a coating deviation correction control device for implementing the coating deviation correction control method. The solution provided by this device is similar to the solution described in the method. Therefore, the specific limitations of one or more coating deviation correction control device embodiments provided below can be found in the above-mentioned limitations of the coating deviation correction control method and will not be repeated here.

[0199] In one embodiment, as shown in FIG13 , a coating correction control device 1300 is provided, comprising: an edge misalignment value acquisition module 1301 , a target correction amount determination module 1302 , and a correction control module 1303 , wherein:

[0200] The edge misalignment value acquisition module 1301 is used to obtain first image data obtained by image acquisition on the first surface of the electrode substrate and second image data obtained by image acquisition on the second surface of the electrode substrate within a sampling period; determine the image relative adjustment parameters of the first image data and the second image data based on the acquisition area interval parameters and image size parameters of the first image data and the second image data; 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; the image combination pair includes the first image and the second image with the same acquisition area position; based on the first image and the second image in each image combination pair, determine the edge misalignment value of each image combination pair, the edge misalignment value is used to characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate.

[0201] The target deviation correction amount determination module 1302 is configured to determine a target deviation correction amount during the coating process according to an average edge misalignment value determined based on multiple edge misalignment values.

[0202] The deviation correction control module 1303 is used to control the deviation correction component to perform coating deviation correction according to the target deviation correction amount.

[0203] The above-mentioned coating correction control device, since the edge misalignment value of the electrode substrate during the coating process can characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate, the edge average misalignment value determined based on multiple edge misalignment values ​​can not only accurately reflect the overall coating area deviation degree of the first coating area and the second coating area of ​​the electrode substrate during the coating process, but also effectively reduce the influence of the determination error of the edge misalignment value on the accuracy of the subsequent target correction amount. The target correction amount in the coating process is determined according to the edge average misalignment value. When the correction component is controlled to perform coating correction according to the target correction amount, the misalignment value between the first coating area and the corresponding second coating area of ​​the electrode substrate after correction can be made close to zero, thereby effectively improving the correction accuracy and correction efficiency of the coating correction.

[0204] In some embodiments, the edge misalignment value acquisition 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.

[0205] In some embodiments, the target correction amount determination module is also used to: determine the correction direction represented by the average edge misalignment value when the absolute value of the average edge misalignment value is greater than the preset correction threshold; determine the target correction amount in the coating process based on the correction direction and the preset correction threshold.

[0206] In some embodiments, the target correction amount determination module is also used to: when the absolute value of the edge average misalignment value is less than or equal to the preset misalignment threshold, the edge average misalignment value is rounded according to the preset validity requirements to obtain the target correction amount in the coating process.

[0207] In one embodiment, the target deviation correction amount determination module is further configured to determine the average edge misalignment value as the target deviation correction amount during the coating process.

[0208] In some embodiments, the edge misalignment value acquisition module is also used to: determine, based on the first image and the second image in the image combination pair, a first distance from the edge of the coating area on the first surface of the electrode substrate in the first image to the reference edge, and a second distance from the edge of the coating area on the second surface of the electrode substrate in the second image to the reference edge; based on the first distance and the second distance, determine an initial misalignment value set; the initial misalignment value set includes at least two initial misalignment values; and determine the initial average misalignment value obtained according to the initial misalignment value set as the edge misalignment value of the image combination pair.

[0209] In some embodiments, the edge misalignment value acquisition module is also used to: determine the number of reference edges corresponding to the edges of each coating area according to the coating type of the electrode substrate; when the number of reference edges is two, determine the target reference edge corresponding to the edge of each coating area of ​​the electrode substrate; the target reference edge is the reference edge corresponding to the case where the least blank area is included when calculating the distance between the edge of each coating area and the reference edge; based on the first image in the image combination pair, determine the first distance from the edge of the coating area on the first surface of the electrode substrate in the first image to the corresponding target reference edge; based on the second image in the image combination pair, determine the second distance from the edge of the coating area on the second surface of the electrode substrate in the second image to the corresponding target reference edge.

[0210] In some embodiments, the edge misalignment value acquisition module is also used to: when the coating type of the electrode substrate is a one-out-two type, determine that the number of reference edges corresponding to the edge of each coating area is one; when the coating type is not a one-out-two type, determine that the number of reference edges corresponding to the edge of each coating area is two.

[0211] In one embodiment, the correction control module is also used to: send a correction instruction generated based on the target correction amount to the correction component, the correction instruction is used to instruct the correction component to perform correction processing on the electrode substrate; when receiving the correction completion instruction feedback from the correction component, determine to enter the next sampling cycle, and return to execute the steps of obtaining the first image data obtained by image acquisition for the first surface of the electrode substrate within a sampling cycle, and the second image data obtained by image acquisition for the second surface of the electrode substrate.

[0212] Each module in the above-mentioned coating correction control device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0213] In one embodiment, a computer device is provided, which may be a controller, and its internal structure diagram may be as shown in FIG14 . The computer device includes a processor, a memory, and a network interface connected via a system bus. 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 edge misalignment values, average edge misalignment values, and target correction amounts. 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 correction control method is implemented.

[0214] Those skilled in the art will understand that the structure shown in FIG14 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.

[0215] 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 correction control method are realized.

[0216] 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 correction control method are realized.

[0217] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the specific implementation steps of the above-mentioned coating correction control method.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] 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 deviation correction control method, the method comprising: Acquire 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 within a sampling period; 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, pairing a first image of a continuous number of frames included in the first image data with a second image of a continuous number of frames included in the second image data to obtain a plurality of image combination pairs; the image combination pairs include the first image and the second image having the same acquisition area position; Determining an edge misalignment value for each of the image combination pairs based on the first image and the second image in each of the image combination pairs, wherein the edge misalignment value is used to characterize a degree of regional edge deviation between a first coating region on the first surface of the electrode substrate and a second coating region on the second surface of the electrode substrate; Obtaining an average edge misalignment value determined based on the plurality of edge misalignment values, and determining a target deviation correction amount during the coating process according to the average edge misalignment value; The correction component is controlled to perform coating correction according to the target correction amount.

2. The method according to claim 1, wherein 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.

3. The method according to claim 1 or 2, wherein: Determining a target deviation correction amount in a coating process according to the average edge misalignment value includes: When the absolute value of the average edge misalignment value is greater than a preset correction threshold, determining a correction direction represented by the average edge misalignment value; A target deviation correction amount during the coating process is determined according to the deviation correction direction and the preset deviation correction threshold.

4. The method according to claim 1 or 2, wherein: Determining a target deviation correction amount in a coating process according to the average edge misalignment value includes: When the absolute value of the average edge misalignment value is less than or equal to the preset misalignment threshold, the average edge misalignment value is rounded according to the preset validity requirement to obtain the target correction amount in the coating process.

5. The method according to claim 1 or 2, wherein: Determining a target deviation correction amount in a coating process according to the average edge misalignment value includes: The average edge misalignment value is determined as the target deviation correction amount during the coating process.

6. The method according to any one of claims 1 to 5, wherein: The determining, based on the first image and the second image in each of the image combination pairs, an edge misalignment value of each of the image combination pairs comprises: determining, based on the first image and the second image in the image combination pair, a first distance from an edge of a coating region on a first surface of the electrode substrate in the first image to a reference edge, and a second distance from an edge of a coating region on a second surface of the electrode substrate in the second image to the reference edge; Determining an initial misalignment value set based on the first distance and the second distance; the initial misalignment value set includes at least two initial misalignment values; An initial average misalignment value obtained according to the initial misalignment value set is determined as the edge misalignment value of the image combination pair.

7. The method according to claim 6, wherein: The determining, based on the first image and the second image in the image combination pair, a first distance from an edge of a coating region on a first surface of the electrode substrate in the first image to a reference edge, and a second distance from an edge of a coating region on a second surface of the electrode substrate in the second image to the reference edge, comprises: According to the coating type of the electrode substrate, determine the number of reference edges corresponding to the edges of each coating area; When there are two reference edges, determining 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; determining, based on a first image in the image combination pair, a first distance from an edge of a coating region on a first surface of a pole piece substrate in the first image to a corresponding target reference edge; Based on the second image in the image combination pair, a second distance from an edge of a coating area on the second surface of the pole piece substrate in the second image to a corresponding target reference edge is determined.

8. The method according to claim 7, wherein: The method of determining the number of reference edges corresponding to the edges of each coating area according to the coating type of the electrode substrate includes: In the case where the coating type of the electrode substrate is one-out-two type, the number of reference edges corresponding to the edge of each coating area is determined to be one; In the case where the coating type is not a one-out-two type, the number of reference edges corresponding to the edges of each coating region is determined to be two.

9. The method according to any one of claims 1 to 8, wherein: The controlling of the correction component to correct the electrode substrate according to the target correction amount includes: Sending a correction instruction generated based on the target correction amount to a correction component, wherein the correction instruction is used to instruct the correction component to perform correction processing on the electrode substrate; When a correction completion signal fed back by the correction component is received, it is determined to enter the next sampling cycle, and the method of obtaining the first image data obtained by image acquisition of the first surface of the electrode substrate within a sampling cycle is returned to execute. And a step of collecting an image of the second surface of the electrode substrate to obtain second image data.

10. A coating deviation correction control device, comprising: An edge misalignment value acquisition module is configured to acquire first image data obtained by performing image acquisition on the first surface of the electrode substrate and second image data obtained by performing image acquisition on the second surface of the electrode substrate within a sampling period; determine image relative adjustment parameters of the first image data and the second image data based on acquisition area interval parameters and image size parameters of the first image data and the second image data; pair the first image of the continuous frames included in the first image data with the second image of the continuous frames included in the second image data based on the image relative adjustment parameters to obtain a plurality of image combination pairs; the image combination pairs include the first image and the second image with the same acquisition area position; determine the edge misalignment value of each image combination pair based on the first image and the second image in each image combination pair, the edge misalignment value being used to characterize the degree of regional edge deviation between the first coating area on the first surface of the electrode substrate and the second coating area on the second surface of the electrode substrate; a target deviation correction amount determination module, configured to determine a target deviation correction amount during the coating process according to an average edge misalignment value determined based on the plurality of edge misalignment values; The correction control module is used to control the correction component to correct the pole piece substrate according to the target correction amount.

11. The device according to claim 10, wherein The edge misalignment value acquisition 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.

12. The device according to claim 10 or 11, wherein The target deviation correction amount determination module is further configured to: When the absolute value of the average edge misalignment value is greater than a preset correction threshold, determining a correction direction represented by the average edge misalignment value; A target deviation correction amount during the coating process is determined according to the deviation correction direction and the preset deviation correction threshold.

13. The device according to claim 10 or 11, wherein The target correction amount determination module is also used to: when the absolute value of the edge average misalignment value is less than or equal to the preset misalignment threshold, round the edge average misalignment value according to the preset validity requirement to obtain the target correction amount in the coating process.

14. The device according to claim 10 or 11, wherein The target deviation correction amount determination module is further configured to determine the average edge misalignment value as the target deviation correction amount during the coating process.

15. The device according to any one of claims 10 to 14, wherein: The edge misalignment value acquisition module is also used to: determine, based on the first image and the second image in the image combination pair, a first distance from the edge of the coating area on the first surface of the electrode substrate in the first image to the reference edge, and a second distance from the edge of the coating area on the second surface of the electrode substrate in the second image to the reference edge; based on the first distance and the second distance, determine an initial misalignment value set; the initial misalignment value set contains at least two initial misalignment values; and determine the initial average misalignment value obtained according to the initial misalignment value set as the edge misalignment value of the image combination pair.

16. The device according to claim 15, wherein The edge misalignment value acquisition module is also used to: determine the number of reference edges corresponding to the edges of each coating area according to the coating type of the electrode substrate; when the number of reference edges is two, determine the target reference edge corresponding to the edge of each coating area of the electrode substrate; the target reference edge is the reference edge corresponding to the case where the least blank area is included when calculating the distance between the edges of each coating area and the reference edge; based on the first image in the image combination pair, determine the first distance from the edge of the coating area on the first surface of the electrode substrate in the first image to the corresponding target reference edge; based on the second image in the image combination pair, determine the second distance from the edge of the coating area on the second surface of the electrode substrate in the second image to the corresponding target reference edge.

17. The device according to claim 16, wherein The edge misalignment value acquisition module is also used to: when the coating type of the electrode substrate is a one-out-two type, determine that the number of reference edges corresponding to the edges of each coating area is one; when the coating type is not a one-out-two type, determine that the number of reference edges corresponding to the edges of each coating area is two.

18. The device according to any one of claims 10 to 17, wherein: The correction control module is also used to: send a correction instruction generated based on the target correction amount to the correction component, the correction instruction is used to instruct the correction component to perform correction processing on the electrode substrate; when receiving the correction completion signal fed back by the correction component, determine to enter the next sampling cycle, and return to execute the steps of obtaining the first image data obtained by image acquisition of the first surface of the electrode substrate within one sampling cycle, and the second image data obtained by image acquisition of the second surface of the electrode substrate.

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, wherein: 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, wherein 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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