Marking method, device and computer equipment for continuous composite tape

Abstract

The application discloses a kind of marking processing method and device of continuous composite material belt.The method comprises the following steps: collecting the first image sequence of continuous composite material belt;Multiple images in the first image sequence are spliced according to the acquisition sequence, and the image to be detected including at least one pole piece structure is obtained;If it is identified that two pole piece edges are included in the image to be detected, the position of the second pole piece edge in the continuous composite material belt in the acquisition sequence is marked as the pole piece position of the continuous composite material belt.The method determines the pole piece position by identifying the pole piece edge in the continuous composite material belt, obtains the specific position information of pole piece, and accurately marks and processes the continuous composite material belt.

Description

Technical Field

[0001] This application relates to the field of lithium battery technology, and in particular to a marking processing method, apparatus, computer equipment, storage medium and computer program product for continuous composite strips. Background Technology

[0002] With the development of new energy technologies and environmental protection requirements, lithium batteries are widely used, for example in new energy vehicles, mobile phones, and laptops. Therefore, battery quality is crucial, and how to efficiently and accurately control battery quality during the production process has become a pressing issue for battery manufacturers.

[0003] Battery quality assessment involves inspecting the quality of the basic electrode sheets during the production process. For the lamination process, accurate electrode segmentation significantly impacts electrode quality. Traditional segmentation methods rely on the winding process, and current methods cannot segment and mark continuous composite strips. Summary of the Invention

[0004] Therefore, it is necessary to provide a marking method, apparatus, computer equipment, computer-readable storage medium, and computer program product for continuous composite strips that can perform segmented marking processing on continuous composite strips, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a marking method for continuous composite strips. The method includes:

[0006] Acquire the first image sequence of the continuous composite strip;

[0007] Multiple images from the first image sequence are stitched together in the acquisition order to obtain an image to be detected that includes at least one polariform structure.

[0008] If the image to be detected includes two electrode edges, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip.

[0009] In the above embodiments, by acquiring images of a continuous composite strip, a first image sequence is obtained. Multiple images in the first image sequence are spliced ​​together according to the acquisition order to obtain an image to be detected that includes at least one electrode structure. If two electrode edges are identified in the image to be detected, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode segment position of the continuous composite strip. By using image recognition technology, the electrode edges in the continuous composite strip are identified and the electrode segment positions are determined according to the electrode distribution characteristics in the continuous composite strip, and the specific position information of the electrode is obtained, so as to accurately perform segmentation and marking processing on the continuous composite strip.

[0010] In one embodiment, the marking process for continuous composite strips further includes:

[0011] If it is detected that the image to be detected contains only one pole edge, then the image to be detected is stitched together with the next frame image adjacent to the image to be detected in the first image sequence, and the image to be detected is updated.

[0012] In the above embodiments, when only one electrode edge is identified in the image to be detected, a new image to be detected is obtained by stitching the image to be detected with the next frame image adjacent to the image to be detected; the electrode edge is re-identified on the new image to be detected to improve the accuracy of segmentation and marking of continuous composite strips.

[0013] In one embodiment, the marking process of the continuous composite strip further includes the step of using the image where the edge of the second electrode is located as the first frame image for stitching the next image to be detected, returning multiple images in the image sequence stitched in the acquisition order to obtain an image to be detected including at least one electrode structure.

[0014] In the above embodiments, when the position of the previous electrode segment in the continuous composite strip is determined, the image of the edge of the second electrode corresponding to the previous electrode segment position is used as the first frame image for stitching the next image to be detected; the step of returning to stitching multiple images in the image sequence according to the acquisition order to obtain an image to be detected including at least one electrode structure is carried out, and all electrode segment positions in the continuous composite strip are obtained in sequence, thus completing the segmentation and marking processing of the continuous composite strip and ensuring the integrity of the marking information of the continuous composite strip.

[0015] In one embodiment, the first image sequence is acquired from a first surface of the continuous composite strip, and the method further includes:

[0016] A second image sequence is acquired during the transport of the continuous composite strip to the lamination process; the second image sequence is acquired from the second side of the continuous composite strip; the first side and the second side are opposite sides of the continuous composite strip;

[0017] For the second image sequence, multiple images in the second image sequence are stitched together in the acquisition order to obtain a detection image including at least one electrode structure; if two electrode edges are identified in the detection image, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode splitting position of the continuous composite strip, and the electrode splitting position of the continuous composite strip on the second surface is obtained.

[0018] When the electrode separator positions on the first side and the second side of the continuous composite strip are the same, the electrode separator positions of the continuous composite strip are determined.

[0019] In the above embodiments, by acquiring image sequences of two opposite sides of a continuous composite strip, multiple images in the image sequence are stitched together according to the acquisition order to obtain a detection image including at least one electrode structure. If two electrode edges are identified in the detection image, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode segment position of the continuous composite strip. The electrode segment positions of the continuous composite strip on the first and second sides are obtained respectively. The final electrode segment position of the continuous composite strip is determined by judging whether the electrode segment positions on the first and second sides are the same electrode segment position. Based on determining the specific position information of the electrode, the accuracy of the continuous composite strip segmentation and marking process is further improved.

[0020] In one embodiment, the marking process for continuous composite strips further includes:

[0021] If no electrode edge is detected in the image to be detected, the image to be detected is output to perform anomaly detection on the continuous composite strip.

[0022] In the above embodiments, during the marking of the electrode positions on the continuous composite strip, image recognition is used to output the image to be inspected if no electrode edge is detected in the image to be inspected. Based on the output image to be inspected and the previously determined electrode positions, abnormal positions on the continuous composite strip are determined. By determining the abnormal positions, abnormal parts of the continuous composite strip can be quickly and accurately identified and abnormalities can be detected, ensuring the quality of the electrode positions on the continuous composite strip.

[0023] In one embodiment, the marking process for continuous composite strips further includes:

[0024] Based on the position of the electrode, determine the edge spacing between the edge of the first electrode and the edge of the second electrode in the acquisition sequence;

[0025] If the edge spacing meets the spacing requirements of the continuous composite strip electrode, extract the image between the edge of the first electrode and the edge of the second electrode, and output the electrode unit image.

[0026] In the above embodiments, based on determining the electrode positions of the continuous composite strip, the edge spacing between the edges of the first and second electrodes in the acquisition sequence is determined according to the electrode positions. By detecting whether the edge spacing meets the spacing requirements of the electrode segments of the continuous composite strip, an electrode unit image between the edges of the first and second electrodes in the acquisition sequence is output; thus, an electrode unit image of the electrode units on the continuous composite strip is obtained; the electrode unit image can be used for strip detection of the continuous composite strip and to locate the specific detection position of the continuous composite strip.

[0027] In one embodiment, determining the edge spacing between the first electrode edge and the second electrode edge includes:

[0028] Obtain the position coordinates of the first electrode edge and the second electrode edge in the image to be detected;

[0029] The edge spacing between the edges of the first electrode and the second electrode is obtained based on the position coordinates.

[0030] In the above embodiments, by obtaining the position coordinates of the first electrode edge and the second electrode edge in the image to be detected, the edge spacing between the first electrode edge and the second electrode edge is calculated based on the position coordinates under the same image coordinates, thereby improving the accuracy and reliability of the edge spacing.

[0031] In one embodiment, after extracting the image between the edges of the first electrode and the second electrode and outputting the electrode unit image if the edge spacing meets the spacing requirements of the continuous composite strip electrode, the method further includes:

[0032] Extract the image features of the polarimeter unit image;

[0033] Based on the image features, it is detected whether the electrode unit image meets the cell segmentation conditions;

[0034] If the cell cutting conditions are met, it is determined whether the cumulative length of multiple consecutive electrode units in the continuous composite strip meets the cell length requirements; wherein, a cell includes a preset number of electrode units;

[0035] If the cell length requirement is met, mark the cell cutting position.

[0036] In the above embodiments, after marking the electrode positions of the continuous composite strip and determining that the edge spacing between the edges of the first and second electrodes in the acquisition sequence meets the spacing requirements of the continuous composite strip electrode division, an electrode unit image is output. Image feature detection is performed on the electrode unit image to determine whether the cell segmentation conditions are met, and whether the cumulative length of multiple consecutive electrode units in the continuous composite strip meets the cell length requirements; if both the cell segmentation conditions and the cell length requirements are met, the cell segmentation position is determined. By performing electrode and cell segmentation processing on the continuous composite strip, the cell to which each electrode unit belongs can be determined. Furthermore, the data of the continuous composite strip in each process can be specifically bound to the corresponding electrode unit and the corresponding cell, enabling data traceability of the continuous composite strip.

[0037] In one embodiment, detecting whether the electrode unit image meets the cell segmentation conditions based on the image features includes:

[0038] Detect whether the difference in the number of anode and cathode tabs in the image features meets the quantity difference requirement in the cell segmentation conditions;

[0039] If the quantity difference requirement in the cell segmentation conditions is met, detect whether the cell tail identifier in the image features meets the tail identifier requirement in the cell segmentation conditions;

[0040] If the tail identification requirement in the cell splitting conditions is met, the cell splitting conditions are determined to be met.

[0041] In the above embodiments, based on whether the difference in the number of anode and cathode tabs in the image features of the detected electrode unit image meets the quantity difference requirement in the cell segmentation conditions, and whether the tail mark of the cell meets the tail mark requirement in the cell segmentation conditions, a preliminary and accurate judgment is made as to whether the cell segmentation conditions are met.

[0042] In one embodiment, the marking of the cell's cutting position includes:

[0043] The position of the cell tail in the image feature within the continuous composite strip is marked as the cell cutting position.

[0044] In the above embodiments, the position of the battery cell tail in the image feature within the continuous composite strip is marked as the cell cutting position, ensuring the integrity of the battery cell.

[0045] In one embodiment, before the marked cell cutting position, the method further includes:

[0046] Acquire the image acquisition pulse values ​​of the continuous composite strip during the transportation to the lamination process;

[0047] The detection process checks whether the image acquisition pulse value meets the pulse requirements for cell segmentation.

[0048] In the above embodiments, when determining the quantity difference requirement in the cell cutting conditions based on the difference in the number of anode and cathode tabs in the image features of the detected electrode unit image, and determining the tail mark requirement in the cell cutting conditions based on the tail mark of the cell, the cell cutting position is corrected by acquiring the image acquisition pulse value of the continuous composite strip during the transportation to the stacking process, thereby improving the accuracy of marking the cell cutting position.

[0049] Secondly, this application also provides a marking processing apparatus for continuous composite strips. The apparatus includes:

[0050] The image acquisition module is used to acquire the first image sequence of the continuous composite strip during the transportation to the lamination process;

[0051] The image to be detected determination module is used to stitch together multiple images in the first image sequence according to the acquisition order to obtain an image to be detected including at least one polariform structure.

[0052] The electrode segmentation module is used to mark the position of the second electrode edge in the continuous composite strip as the electrode segmentation position of the continuous composite strip if it is found that the image to be detected includes two electrode edges.

[0053] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0054] Acquire the first image sequence of the continuous composite strip;

[0055] Multiple images from the first image sequence are stitched together in the acquisition order to obtain an image to be detected that includes at least one polariform structure.

[0056] If the image to be detected includes two electrode edges, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip.

[0057] Fourthly, this application also provides a marking processing system for a continuous composite strip. The processing system includes an image acquisition component, an encoder, a memory, and a computer device as described above. The image acquisition component supports the continuous composite strip, and during the strip's operation, it drives the encoder to trigger the image acquisition component to acquire images. The computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the following steps:

[0058] Acquire the first image sequence of the continuous composite strip;

[0059] Multiple images from the first image sequence are stitched together in the acquisition order to obtain an image to be detected that includes at least one polariform structure.

[0060] If the image to be detected includes two electrode edges, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip.

[0061] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0062] Acquire the first image sequence of the continuous composite strip;

[0063] Multiple images from the first image sequence are stitched together in the acquisition order to obtain an image to be detected that includes at least one polariform structure.

[0064] If the image to be detected includes two electrode edges, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip.

[0065] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0066] Acquire the first image sequence of the continuous composite strip;

[0067] Multiple images from the first image sequence are stitched together in the acquisition order to obtain an image to be detected that includes at least one polariform structure.

[0068] If the image to be detected includes two electrode edges, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip.

[0069] Details of one or more embodiments of this application are set forth in the following drawings and description. Other features, objects, and advantages of this application will become apparent from the specification, drawings, and claims. Attached Figure Description

[0070] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0071] Figure 1 This is an application environment diagram of the marking process method for continuous composite strips in one embodiment;

[0072] Figure 2 This is a flowchart illustrating a marking process for a continuous composite strip in one embodiment;

[0073] Figure 3a This is a distribution diagram of the continuous composite strip in one embodiment;

[0074] Figure 3b This is an imaging schematic diagram of a non-first position of the stacked composite strip in one embodiment;

[0075] Figure 4 This is a schematic diagram of the image acquisition buffer for a continuous composite strip in one embodiment;

[0076] Figure 5 This is a flowchart illustrating a marking process for a continuous composite strip in another embodiment;

[0077] Figure 6 This is a schematic diagram of the non-starting and ending images of the continuous stacked composite strip of anode in one embodiment, and a schematic diagram of the electrode unit image.

[0078] Figure 7a This is a schematic diagram of the imaging of the first side of the continuous composite strip including the tail sheet and the electrode unit image in one embodiment;

[0079] Figure 7b This is a schematic diagram of the imaging of the second side of the continuous composite strip including the tail sheet and the electrode unit image in one embodiment;

[0080] Figure 8 This is a schematic diagram of image stitching of a continuous composite strip in one embodiment;

[0081] Figure 9 This is a flowchart illustrating a cell separation process in one embodiment;

[0082] Figure 10 This is a flowchart illustrating the cell separation process in another embodiment;

[0083] Figure 11 This is a schematic diagram of an electrode unit image in one embodiment;

[0084] Figure 12 This is a flowchart illustrating a marking process for a continuous composite strip in another embodiment;

[0085] Figure 13 This is a structural block diagram of a marking and processing device for a continuous composite strip in one embodiment;

[0086] Figure 14 This is an internal structural diagram of a computer device in one embodiment;

[0087] Figure 15 This is a structural block diagram of a marking and processing system for a continuous composite strip in one embodiment;

[0088] Figure 16 This is a schematic diagram of the hardware layout corresponding to the marking processing system of a continuous composite strip in one embodiment. Detailed Implementation

[0089] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0090] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0091] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0092] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0093] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0094] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0095] In the description of the embodiments of this application, the technical terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0096] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0097] Currently, with the increasingly widespread application of power batteries, the power sources for related new energy vehicles are also developing rapidly. However, there are still many problems in battery production. As the core component of power batteries, the battery cell plays a crucial role. For batteries, the battery cell determines the quality and performance of the battery product, and also affects the battery's range and capacity.

[0098] To improve the quality of battery products, it is necessary to inspect the quality of battery electrodes. One way to improve electrode quality is by detecting defects in the battery strip material. Currently, power batteries are formed through winding. When inspecting defects in the strip material of wound power batteries, a linear scan camera acquires image information, and after offline training to obtain an electrode defect feature library, images are acquired cyclically. Defect detection is then performed on the acquired images in conjunction with the electrode defect feature library until the entire battery electrode has been inspected, at which point defects are automatically marked. During the inspection process, encoder signals, in conjunction with a PLC, mark and record the defect locations. This method only involves recording defects and physically marking them based on the current length of the strip material; it does not address how to differentiate the electrodes in the composite strip material after continuous stacking of anode and cathode.

[0099] Currently, the production and forming of power batteries typically employs a winding process, which differs from the lamination process. Lamination involves cutting the positive and negative electrodes into small pieces and then stacking them with a separator to form a small battery cell. The winding process, on the other hand, involves stirring, coating, cold pressing, cutting and slitting, welding, winding, top sealing, electrolyte injection, formation, and shaping to obtain the power battery. Because these two processes differ, the testing methods for wound-formed power batteries cannot accurately distinguish the electrodes in the composite strip formed by continuously laminating the anode and cathode, nor can they mark the electrodes within the continuous composite strip, and they cannot locate defects during defect detection.

[0100] Based on the above considerations, an image sequence is obtained by acquiring images of the continuous composite strip; multiple images in the first image sequence are stitched together in the acquisition order to obtain an image to be detected that includes at least one electrode structure; if two electrode edges are identified in the image to be detected, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode segment position of the continuous composite strip; by identifying the electrode edges in the continuous composite strip to determine the electrode segment position, the specific position information of the electrode is obtained, and the continuous composite strip is accurately segmented and marked.

[0101] By utilizing image recognition technology, and based on the distribution characteristics of electrode sheets in a continuous composite strip, the electrode edges within the strip are identified to determine the electrode separation positions. This allows for accurate electrode differentiation within the composite strip after continuous anode-cathode lamination, obtaining specific electrode location information. Based on this information, the continuous composite strip is then segmented and marked. Furthermore, since the length of the continuous composite strip and the number of cell layers are known, the number of cell layers containing the electrode within the continuous composite strip can also be determined based on the electrode length.

[0102] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0103] The marking method for continuous composite strips provided in this application is illustrated by taking the application of this method to a terminal as an example. It can be understood that this method can also be applied to a server, and can also be applied to a system including a terminal and a server, and can be implemented through the interaction between the terminal and the server.

[0104] The image acquisition unit in the pulse-triggered terminal acquires images of the continuous composite strip as it moves upwards, obtaining a first image sequence of the continuous composite strip. Multiple images from the first image sequence are then stitched together in the acquisition sequence to obtain a test image including at least one electrode structure. If two electrode edges are detected in the test image, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode splitting position of the continuous composite strip. The continuous composite strip can be, but is not limited to, a continuous composite strip with a continuous anode. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices; it can also be process equipment used for continuous composite strips.

[0105] Optionally, the marking method for continuous composite strips provided in this application embodiment can also be applied to, for example... Figure 1 The application environment shown includes station 1, station 2, ..., and station n. The marking and processing method for the continuous composite strip corresponds to the target station among station 1, station 2, ..., and station n. Image acquisition devices (including different types of cameras, such as line scan cameras) acquire images of the continuous composite strip at the target station. The image acquisition devices and the terminal communicate via a network.

[0106] The encoder triggers the image acquisition device to acquire the first image sequence of the continuous composite strip and caches the acquired first image sequence in the device buffer area; the terminal obtains the first image sequence from the device buffer area, splices multiple images in the first image sequence according to the acquisition order, and obtains the image to be detected including at least one electrode structure; if the image to be detected is found to include two electrode edges, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode position of the continuous composite strip.

[0107] In one embodiment, such as Figure 2 As shown, a marking method for continuous composite strips is provided. Taking the application of this method to a terminal as an example, the method includes the following steps:

[0108] Step 202: Acquire the first image sequence of the continuous composite strip.

[0109] The continuous composite strip includes a base strip and layered structures laminated onto the base strip. The layered structures and their corresponding base strips together constitute an electrode structure. The continuous composite strip may include one or more sequentially arranged electrode structures, and the base strip in multiple electrode structures is the same base strip; that is, from the perspective of each electrode structure, the base strip as a whole is continuous. This embodiment uses a continuous composite strip with a continuous anode as an example for illustration. The base strip consists of a diaphragm and an anode strip, and the layered structure includes a cathode sheet, a cathode tab, and an anode tab. In other words, the continuous composite strip with a continuous anode consists of a diaphragm, an anode strip, a cathode sheet, a cathode tab, and an anode tab.

[0110] Optionally, before acquiring the first image sequence of the continuous composite strip, the process may further include: determining a preset length of the anode strip; cutting the anode strip according to the preset length to obtain at least one anode strip segment; covering each anode strip segment with a diaphragm to obtain a base strip; and sequentially setting a layer structure on the upper and lower layers of the base strip to obtain a continuous composite strip. The preset length is predetermined; setting the layer structure includes sequentially setting cathode plates, cathode tabs, and anode tabs on the upper and lower layers of the base strip. It can be understood that in the production process of the continuous anode laminated composite strip, after cutting the anode strip to a preset length, covering the upper and lower layers of the anode strip with a diaphragm, and alternately attaching cathode plates to the upper and lower layers, a continuous anode laminated composite strip is obtained. The continuous composite strip is a continuous anode laminated composite strip, and its specific laminated composite strip distribution diagram is as follows... Figure 3a As shown, a complete laminated composite strip mainly consists of upper and lower diaphragms 111 and 112 wrapping the anode strip 110, and then alternately laminated with upper cathode sheet 108 and lower cathode sheet 109; the cathode tabs and anode tabs are in... Figure 3a It cannot be displayed in the text. For example... Figure 3b The image shown is a schematic diagram of the stacked composite strip at a non-head and tail position in one embodiment, including a cathode sheet 101, a cathode tab 102, an anode tab 103 (the anode is not visible), a diaphragm region 104 (the cathode is not visible on the reverse side, but exposes the same cathode tab as 102), electrode edges 105 and 106, which are electrode edges of different cathode sheets.

[0111] The continuous anode laminated composite strip includes two sides. The first image sequence acquired here can be an image sequence of any one side of the continuous anode laminated composite strip, or it can be an image sequence acquired of both sides of the continuous anode laminated composite strip. In this embodiment, the first image sequence is taken as an example of an image sequence of one side of the continuous anode laminated composite strip.

[0112] It is understandable that continuous anode laminated composite strips are used in a lamination process to form batteries. These strips need to be transported to the battery production process according to a predetermined conveying direction, where they undergo a lamination process to form battery cells. The first image sequence of the continuous anode laminated composite strips is not limited to a single step in the battery production process. For example, the first image sequence could be a sequence of images of the continuous anode laminated composite strips during transport to the lamination process.

[0113] Specifically, the terminal acquires images of the continuous anode laminated composite strip along its conveyor belt direction at a preset acquisition frequency, obtaining a first image sequence of either the front or back of the continuous anode laminated composite strip; the images in the acquired first image sequence are then stitched together in the acquisition order and cached in the image buffer area. For example... Figure 4 The diagram shown illustrates an image acquisition buffer for a stacked composite strip in one embodiment. Image acquisition is assumed to be triggered according to a preset acquisition frequency, and the images are sequentially stitched into the image buffer area based on a first-in, first-out principle. Figure 4 The image acquisition order and image caching order are 401->402->403->404->…->n; therefore, the splicing order and the detection image acquisition order must also be 401->402->403->404->…->n.

[0114] Step 204: Assemble multiple images from the first image sequence in the acquisition order to obtain an image to be detected that includes at least one polarimetric structure.

[0115] Among them, according to Figure 4 The acquisition sequence shown is used to stitch together multiple images from the first image sequence to obtain at least one image to be detected, which includes an electrode structure.

[0116] Specifically, multiple images from the first image sequence cached in the image cache are stitched together in the order of acquisition to obtain a detection image of fixed height; wherein, the fixed height is used to ensure that the obtained detection image includes at least one polarimetric structure.

[0117] Step 206: If two electrode edges are identified in the image to be detected, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip.

[0118] In this context, "two electrode edges" refers to the edges of two consecutive, different cathode electrodes on the same surface of a continuous stacked composite anode. This means that the electrode edges here are the edges of corresponding cathode electrodes at the same location. For example, a cathode electrode includes an upper electrode edge and a lower electrode edge, and the two electrode edges identified can be, but are not limited to, the upper electrode edges of two consecutive, different cathode electrodes. The two electrode edges include a first electrode edge and a second electrode edge; the first and second electrode edges are determined according to the order in which the images to be detected are identified, and this order is the same as the image acquisition order.

[0119] Specifically, the terminal acquires the conveying direction of the continuous anode laminated composite strip (i.e., the transmission direction of the continuous anode laminated composite strip). Based on the conveying direction, an edge-finding algorithm is used to perform image recognition on the image to be detected, determine the target region in the image to be detected, and identify whether there are two electrode edges in the image corresponding to the target region. If two electrode edges are identified in the image to be detected, the position of the second electrode edge in the laminated composite strip in the acquisition sequence is marked as the electrode splitting position of the laminated composite strip, and the position coordinates of the two electrode edges in the image to be detected are acquired respectively to obtain the position information of the two electrode edges.

[0120] In the above-mentioned marking and processing method for continuous composite strips, an image sequence is obtained by acquiring images of the continuous composite strip; multiple images in the first image sequence are spliced ​​together according to the acquisition order to obtain an image to be detected including at least one electrode structure; if two electrode edges are identified in the image to be detected, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode segment position of the continuous composite strip; by identifying the electrode edges in the continuous composite strip to determine the electrode segment position, the specific position information of the electrode is obtained, and the continuous composite strip is accurately segmented and marked.

[0121] In another embodiment, such as Figure 5 As shown, a marking method for continuous composite strips is provided. Taking the application of this method to a terminal, with the continuous composite strip being a continuous anode composite strip as an example, the method includes the following steps:

[0122] Step 502: Acquire the first image sequence of the continuous composite strip.

[0123] Step 504: Assemble multiple images from the first image sequence in the acquisition order to obtain an image to be detected that includes at least one polarimetric structure.

[0124] Step 506: Determine if there is an edge to the electrode; if yes, proceed to step 516; otherwise, proceed to step 508.

[0125] Specifically, the image to be detected is identified. If electrode edges are present, step 516 is executed; if electrode edges are not present, step 508 is executed.

[0126] Step 508: The image to be detected is stitched into the segmented buffer area.

[0127] Step 510: Determine whether the image height in the current segmented buffer exceeds the set maximum buffer height. If yes, proceed to step 514; otherwise, proceed to step 515.

[0128] Step 514: If the image height in the current segmented buffer exceeds the set maximum buffer height, output the image to be detected and perform anomaly detection on the continuous composite strip.

[0129] Step 512: Concatenate the image to be detected with the next frame image adjacent to the image to be detected in the first image sequence, update the image to be detected, and return to step 506.

[0130] Specifically, if the image height in the current segmented buffer does not exceed the set maximum buffer height, the image in the current segmented buffer, including the image to be detected, is spliced ​​with the next frame image adjacent to the image to be detected in the first image sequence to obtain a spliced ​​image. Multiple images in the spliced ​​image are spliced ​​according to the image acquisition order to obtain the updated image to be detected, and the process returns to step 506.

[0131] Step 516: Determine if there are two electrode edges. If yes, proceed to step 518; otherwise, proceed to step 508.

[0132] Specifically, if two electrode edges are detected in the image to be detected, step 518 is executed; if only one electrode edge is detected in the image to be detected, step 508 is executed.

[0133] Step 518: If two electrode edges are identified in the image to be detected, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip.

[0134] Specifically, the images to be detected are identified according to the acquisition sequence. If the edges of the first electrode and the second electrode are identified on the image to be detected, the position of the second electrode edge in the stacked composite strip in the acquisition sequence is marked as the electrode position of the stacked composite strip.

[0135] Optionally, in one embodiment, if it is identified that the image to be detected includes only one pole edge, the image to be detected is stitched together with the next frame image adjacent to the image to be detected in the first image sequence to update the image to be detected.

[0136] Specifically, if only one electrode edge is identified in the image to be detected, the image to be detected is stitched into the segmented buffer according to the acquisition order. If the current image height in the segmented buffer does not exceed the set maximum buffer height, the cached image to be detected is stitched with the next frame image adjacent to the image to be detected in the first image sequence, the image to be detected is updated, and the electrode edge is re-identified on the new image to be detected, thereby improving the accuracy of segmented marking processing of continuous composite strips.

[0137] Furthermore, if the current image height in the segmented buffer exceeds the set maximum buffer height, the image currently cached in the segmented buffer is output, and the image data in the segmented buffer is cleared; an image anomaly prompt message is generated; this image anomaly prompt message is used to prompt the user terminal to perform anomaly detection on the currently cached image in the segmented buffer, and to determine the anomaly on the corresponding continuous composite strip through anomaly detection, and to determine the current anomaly position information based on the previous electrode position.

[0138] Optionally, in one embodiment, a first image sequence of the first side of the continuous composite strip is acquired; multiple images in the first image sequence are stitched together in the acquisition order to obtain a test image including at least one electrode structure; if two electrode edges are identified in the test image, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode position of the continuous composite strip on the first side.

[0139] A second image sequence is acquired during the transport of the continuous composite strip to the lamination process. This second image sequence is obtained from the second side of the continuous composite strip, with the first and second sides being opposite to each other. Multiple images from the second image sequence are stitched together in the acquisition order to obtain an image to be inspected, which includes at least one electrode structure. If two electrode edges are identified in the image to be inspected, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode splitting position of the continuous composite strip, thus obtaining the electrode splitting position of the continuous composite strip on the second side. When the electrode splitting positions on the first and second sides of the continuous composite strip are the same, the electrode splitting position of the continuous composite strip is determined.

[0140] It is understandable that, for the same continuous composite strip, under the condition that there are no abnormalities in the continuous composite strip, the electrode positions determined on opposite sides of the continuous composite strip are the same. By determining whether the electrode positions on the first and second sides are the same electrode positions, the final electrode positions of the continuous composite strip are determined. Based on the determination of the specific position information of the electrode, the accuracy of the segmentation and marking process of the continuous composite strip is further improved.

[0141] Step 520: Determine the edge spacing between the edges of the first and second electrodes in the acquisition sequence based on the position of the electrode separator.

[0142] Specifically, based on the position of the electrode, the position coordinates of the first electrode edge and the second electrode edge in the image to be detected are determined in the acquisition sequence, and the position coordinates of the two electrode edges are obtained; based on the position coordinates of the first electrode edge and the second electrode edge, the edge spacing between the first electrode edge and the second electrode edge is determined.

[0143] Step 522: If the edge spacing meets the spacing requirements of the continuous composite strip electrode, extract the image between the edge of the first electrode and the edge of the second electrode, and output the electrode unit image.

[0144] The spacing requirements are preset. Each electrode unit image includes a complete electrode structure.

[0145] Furthermore, the continuous anode laminated composite strip includes the first and last plates, which can be understood as the first and last electrode plates of the cell; the imaging diagram of the laminated composite strip at the last plate position is different from that at non-first and last plate positions. For example... Figure 6 The diagram illustrates an embodiment of an imaging schematic of a non-first and last sheet of a continuous stacked composite anode strip and an image of an electrode unit. In this diagram, 101 is the cathode sheet, 102 is the cathode tab, 103 is the anode tab (the anode is not visible), 104 is the diaphragm region (the cathode is not visible on the reverse side, but exposes the same cathode tab as 102), and 105 and 106 are the upper electrode edges of the cathode electrodes. Using the aforementioned marking method for the continuous stacked composite anode strip, by continuously identifying the upper electrode edges 105 and 106 of two cathode electrodes and judging based on parameters such as the number of tabs and image height, the image to be detected corresponding to the continuous stacked composite strip is decomposed into a unit image 107, i.e., an electrode unit image. This electrode unit image contains only one visible cathode and one visible diaphragm region.

[0146] Understandably, images are acquired from both sides of the continuous composite strip. If the edge spacing meets the spacing requirements of the electrode sheets in the continuous composite strip, the image between the edges of the first and second electrode sheets is extracted, and the electrode unit images of both sides of the continuous composite strip are output. For example... Figure 7a The image shown is a schematic diagram of the first side of the continuous composite strip, including the tail sheet and an image of the electrode unit, in one embodiment; wherein 201 and 204 are the diaphragm area, 202 and 206 are the cell identifiers (i.e., blank areas), 203 is the anode tab, and 205 is a blank area. It can be understood that, at positions other than the beginning and end, 205 should be the cathode tab. Figure 7bThe image shown is a schematic diagram of the second side of the continuous composite strip, including the tail sheet and an image of the electrode unit, in one embodiment. 301 and 304 are the diaphragm area, 302 and 306 are cell markers (i.e., blank areas), 303 is the anode tab, and 305 is a blank area. It can be understood that, at positions other than the beginning and end, 305 should be the cathode tab. Figure 7a and Figure 7b This is an image diagram of the front and back sides of a continuous composite strip and an image of the electrode unit after segmentation; wherein, the first side can be either the front or the back side, and the second side can be either the front or the back side.

[0147] Optionally, in one embodiment, after obtaining the electrode unit image, the electrode unit image is stored; by performing strip detection (e.g., strip appearance detection) on the electrode unit image, it is identified whether there are any abnormalities in the corresponding continuous composite strip, and the continuous composite strip corresponding to each electrode unit image is marked, thereby binding the production data in the production process with the electrode unit image.

[0148] Step 524: Use the image containing the edge of the second pole piece as the first frame image for stitching the next image to be detected, and return to step 504.

[0149] Specifically, the image where the edge of the second electrode is located is used as the first frame image for stitching the next image to be detected. The process of stitching multiple images in the first image sequence according to the acquisition order is continued to obtain the image to be detected including at least one electrode structure. The electrode separation process is completed on the stacked composite strip, and the electrode units on the stacked composite strip are marked to obtain the marking information of each electrode unit on the stacked composite strip.

[0150] In one embodiment, images in the image buffer are sequentially stitched together in the order of 401->404->…N to form an image of a certain height. Figure 8 As shown, for Figure 8 Image 501 in the image uses an edge-finding algorithm to search for edges along the conveyor direction. It checks if the first edge 505 of image 501 has been found. If not, the image is placed in the segmented buffer. If it exists, the coordinates of the current position are recorded, and it is then determined whether two edges already exist (e.g., ...). Figure 8(505 and 506 in the image); if there are two electrode edges in the acquisition sequence, the position of the second electrode edge in the stacked composite strip is marked as the electrode segment position of the stacked composite strip; based on the electrode segment position, the edge spacing between the first and second electrode edges in the acquisition sequence is determined; if the edge spacing meets the spacing requirements of the electrode segments in the stacked composite strip, the image between the first and second electrode edges is extracted, and the electrode unit image is output. The image where the second electrode edge is located is used as the first frame image for stitching the next image to be detected, and the process of stitching multiple images in the first image sequence according to the acquisition sequence is continued to obtain the image to be detected including at least one electrode structure. That is, the image between the two edges (which can be called an image) is extracted and combined with... Figure 8 As shown, it can be that image data above 506 pixels is cleared, and images below 506 pixels are moved to the starting position of the segmented buffer, with the default starting position being used as the position of the first edge of the next pole piece.

[0151] If the edge spacing does not meet the spacing requirements of the continuous composite strip electrode, manual intervention is carried out to detect abnormalities in the continuous composite strip.

[0152] In this process, if the image to be detected does not meet the segmentation conditions, the currently detected image is stitched into the segmentation buffer in sequence (e.g., if the detection order is 501->502->503->504, then the stitching order from top to bottom is also 501->502->503->504). Then, it is determined whether the image height in the current segmentation buffer exceeds the set maximum buffer height. If it does, the image in the current buffer is output, the image data in the segmentation buffer is cleared, and manual intervention is performed to detect anomalies in the stacked composite strip. If not, the image to be detected is stitched with the next frame image adjacent to it in the first image sequence, the image to be detected is updated, and the process of finding edges continues.

[0153] In the above-mentioned marking method for continuous anode laminated composite strips, a first image sequence of the continuous anode laminated composite strip is acquired; multiple images in the first image sequence are stitched together in the acquisition order to obtain an image to be detected, including at least one electrode structure; the positions of the electrode segments of the continuous anode laminated composite strip are accurately marked based on the number of identified electrode edges in the image to be detected. Based on the marked electrode segment positions, the edge spacing between the first and second electrode edges in the image acquisition order is obtained. When the edge spacing meets the spacing requirements of the electrode segments in the laminated composite strip, an electrode unit image of the electrode unit on the laminated composite strip is obtained. The electrode unit image can be used for strip detection of the laminated composite strip. Simultaneously, after determining the position of the previous electrode segment in the continuous anode laminate composite strip, the image of the edge of the second electrode corresponding to the previous electrode segment position is used as the first frame image for stitching the next image to be detected; the process of stitching multiple images in the image sequence according to the acquisition order to obtain an image to be detected including at least one electrode structure is repeated, and all electrode segment positions in the continuous anode laminate composite strip are obtained in sequence, thus completing the segmentation and marking processing of the continuous anode laminate composite strip and ensuring the integrity of the marking information of the continuous anode laminate composite strip.

[0154] In one embodiment, such as Figure 9 As shown, a cell processing method is provided. Taking the application of this step to a terminal, with the continuous composite strip being a continuous composite strip with continuous anode as an example, the method includes:

[0155] Step 902: Extract image features from the polarimeter unit image.

[0156] Among them, the battery cell is the core component of a power battery. For a specific power battery, the number of cell layers and the cell length are known. For a battery obtained by stacking composite strips with continuous anodes, the number of cell layers and the cell length are also known. Image features include the number of anode and cathode tabs and the cell tail identifier. The cell tail identifier is an identifier for a single cell, and in the electrode unit image, the cell tail identifier is represented by a specific pixel value. In the continuous composite strips with continuous anodes, the position corresponding to the cell tail identifier is the cutting position of the anode strip, which is displayed as a blank area in the electrode unit image (e.g., ...). Figure 7a 202 and 206, Figure 7b (302 and 306 in the text). The electrode unit image includes electrode unit images of the beginning and end of the continuous stacked composite strip of anodes, as well as electrode unit images of non-beginning and end images.

[0157] Specifically, the Blob algorithm is used to identify the electrode unit image and determine the first target region, the second target region, and the third target region in the electrode unit image; features are extracted from the first target region, the second target region, and the third target region to obtain the corresponding number of cathode tabs, the number of anode tabs, and the tail mark of the cell, respectively.

[0158] Step 904: Based on the image features, detect whether the electrode unit image meets the cell segmentation conditions.

[0159] Among them, the cell segmentation conditions include unequal numbers of cathode tabs and anode tabs, and the presence of blank areas in the electrode unit image.

[0160] Specifically, the Blob algorithm is used to detect whether the difference in the number of anode and cathode tabs in the image features meets the quantity difference requirement in the cell segmentation conditions. If the quantity difference requirement is met, the image features of the cell tail identifier are checked to see if they meet the tail identifier requirement in the cell segmentation conditions. If the tail identifier requirement is met, the cell segmentation conditions are determined to be met. Further, if the electrode unit image meets the cell segmentation conditions, then the electrode unit image is the tail electrode unit image in the continuous anode laminated composite strip. Optionally, if the difference in the number of anode and cathode tabs in the image features of the electrode unit image meets the quantity difference requirement in the cell segmentation conditions, and the cell tail identifier meets the tail identifier requirement in the cell segmentation conditions (i.e., the blank area), then the image corresponding to the electrode unit image is the tail image in the continuous composite strip.

[0161] Step 906: If the cell cutting conditions are met, determine whether the cumulative length of multiple consecutive electrode units in the continuous composite strip meets the cell length requirements; wherein, a cell includes a preset number of electrode units.

[0162] Step 908: If the cell length requirement is met, mark the cell cutting position.

[0163] Specifically, if the cell length requirement is met, the position of the cell tail marker in the image feature within the continuous composite strip is marked as the cell cutting position. Further, based on the cell length requirement, the cell to which each electrode unit image belongs and the layer number of that cell are determined. In subsequent production processes, the production data of each process is linked to each electrode unit image, the cell to which each electrode unit image belongs, and the layer number of that cell, facilitating data storage and production data traceability.

[0164] In addition, when performing fault and defect detection on electrode unit images, the faulty cell and the number of faulty layers can be determined based on the electrode unit image where the defect is located, thereby achieving accurate fault location and shortening the time for troubleshooting fault locations.

[0165] In the above embodiments, after marking the electrode positions of the continuous composite strip and determining that the edge spacing between the first and second electrode edges in the acquisition sequence meets the spacing requirements of the continuous composite strip's electrode positions, an electrode unit image is output. Image feature detection is performed on the electrode unit image to determine whether the cell segmentation conditions are met, and whether the cumulative length of multiple consecutive electrode units in the continuous composite strip meets the cell length requirements. When both the cell segmentation conditions and cell length requirements are met, the cell segmentation position is determined. By performing electrode and cell segmentation processing on the continuous composite strip, the cell to which each electrode unit belongs can be determined; and by specifically binding the data of the continuous composite strip in each process to the corresponding electrode unit and the corresponding cell, data traceability and data storage of the continuous composite strip can be achieved.

[0166] In another embodiment, such as Figure 10 As shown, a cell processing method is provided. Taking the application of this method to a terminal, with the continuous composite strip being a continuous composite strip with continuous anode as an example, the method includes:

[0167] Step 1002: Extract image features from the polar unit image.

[0168] Step 1004: Obtain the difference in the number of anode and cathode ears in the image features.

[0169] Specifically, the number of cathode tabs and the number of anode tabs in the image features are obtained, and the difference between the number of cathode tabs and the number of anode tabs is obtained.

[0170] Step 1006: Determine whether the quantity difference requirement in the cell splitting conditions is met. If yes, proceed to step 1008; otherwise, end.

[0171] Specifically, determine whether the difference in the number of anode and cathode tabs meets the quantity difference requirement in the cell splitting conditions. If yes, proceed to step 1008; otherwise, end.

[0172] Step 1008: Does the tail marking requirement in the cell splitting conditions meet? If yes, proceed to step 1010; otherwise, end.

[0173] Specifically, if the quantity difference requirement in the cell segmentation conditions is met, the cell tail identifier in the detection image features is checked to see if it meets the tail identifier requirement in the cell segmentation conditions. If it meets the tail identifier requirement in the cell segmentation conditions, the cell segmentation conditions are determined to be met.

[0174] Step 1010: Determine if the cell length requirement is met. If yes, proceed to step 1012; otherwise, end.

[0175] Specifically, if the cell cutting conditions are met, it is determined whether the cumulative length of multiple consecutive electrode units in the continuous composite strip meets the cell length requirements; wherein, a cell includes a preset number of electrode units;

[0176] Step 1012: Obtain the image acquisition pulse value of the continuous composite strip during the transportation to the lamination process.

[0177] Among them, the image acquisition pulse value refers to the number of encoder pulses from the end piece to the first piece in the continuous composite strip.

[0178] Step 1014: Detect whether the image acquisition pulse value meets the pulse requirements for cell cutting.

[0179] Among them, the pulse requirement for cell segmentation refers to the image acquisition pulse value that a cell length must meet.

[0180] Step 1016: If the pulse requirement is met, mark the position of the cell tail in the image feature in the continuous composite strip as the cell cutting position.

[0181] Specifically, if the pulse requirements are met, the position of the cell tail identifier in the image features within the laminated composite strip is marked as the cell's cutting position. The PLC obtains the current strip's virtual code, and all electrodes between the first and last electrodes of the current cell are sequentially bound to the virtual code. The current strip's virtual code can be understood as the virtual code of the current cell; the virtual code refers to the identifier used to mark different cells, and can be numbers, letters, or combinations of numbers and letters.

[0182] In one embodiment, the obtained electrode unit image is as follows: Figure 11As shown, 601 is the diaphragm area, and 604 is the blank area. The Blob algorithm is used to detect the number of anode tabs in area 602 and the number of cathode tabs in area 603. It is then determined whether the number of anode and cathode tabs is consistent. If they are the same, a defect detection is performed. If they are different, the Blob algorithm is used to determine whether the tail marking requirement in the cell segmentation conditions is met (i.e., whether there is a blank area 605). If it does not exist, a defect detection is performed. If it exists, it is determined whether the cell length requirement is met, i.e., whether the cumulative image height of the current cell meets the cell segmentation conditions (i.e., whether it is within one cell strip length specification). If the conditions are not met, manual intervention is required. If they are met, the image acquisition pulse value of the laminated composite material strip during the transportation to the lamination process is obtained, that is, the number of encoder pulses in the interval from the tail sheet to the first sheet is calculated, and it is determined whether the image acquisition pulse value meets the pulse requirements for cell cutting. If the pulse requirements are met, the position of the cell tail mark in the image feature in the laminated composite material strip is marked as the cell cutting position. The virtual code of the current material strip is obtained through the PLC, and all the electrodes between the first and last electrodes of the current cell are bound to the virtual code in sequence. If the pulse requirements are not met, an abnormal alarm is triggered, and manual intervention is required.

[0183] In this embodiment, when the difference in the number of anode and cathode tabs in the image features of the detected electrode unit image meets the quantity difference requirement in the cell cutting condition, and the tail mark of the cell meets the tail mark requirement in the cell cutting condition, the cell cutting position is corrected by acquiring the image acquisition pulse value of the continuous composite material strip during the transportation to the stacking process, thereby improving the accuracy of marking the cell cutting position. At the same time, the data of the continuous composite material strip in each process is specifically bound to the corresponding electrode unit and the cell corresponding to the electrode unit, which enables the data storage and traceability of the continuous composite material strip.

[0184] In another embodiment, such as Figure 12 As shown, a marking method for continuous composite strips is provided. Taking the application of this step to a terminal, and the continuous composite strip being an anode-continuous continuous composite strip as an example, the method includes:

[0185] Step 1202: Acquire the first image sequence of the continuous composite strip.

[0186] Step 1204: Assemble multiple images from the first image sequence in the acquisition order to obtain an image to be detected that includes at least one polarimetric structure.

[0187] Step 1206: Identify the image to be detected. If there are electrode edges, proceed to step 1216; if there are no electrode edges, proceed to step 1208.

[0188] Step 1208: The image to be detected is stitched into the segmented buffer area.

[0189] Step 1210: Determine whether the image height in the current segmented buffer exceeds the set maximum buffer height. If yes, proceed to step 1214; otherwise, proceed to step 1212.

[0190] Step 1214: If the image height in the current segmented buffer exceeds the set maximum buffer height, output the image to be detected and perform anomaly detection on the continuous composite strip.

[0191] Step 1212: Concatenate the image to be detected with the next frame image adjacent to the image to be detected in the first image sequence, update the image to be detected, and return to step 1206.

[0192] Step 1216: Determine if there are two electrode edges. If yes, proceed to step 1218; otherwise, proceed to step 1208.

[0193] Step 1218: If two electrode edges are identified in the image to be detected, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip.

[0194] Step 1220: Determine the edge spacing between the edges of the first and second electrodes in the acquisition sequence based on the position of the electrode separator.

[0195] Step 1222: If the edge spacing meets the spacing requirements of the continuous composite strip electrode, extract the image between the edge of the first electrode and the edge of the second electrode, and output the electrode unit image.

[0196] Step 1224: Extract image features from the polar unit image.

[0197] Step 1226: Detect whether the electrode unit image meets the cell segmentation conditions. If yes, proceed to step 1228; otherwise, end.

[0198] Specifically, the method detects whether the difference in the number of anode and cathode tabs in the image features meets the quantity difference requirement in the cell segmentation conditions; where the quantity difference requirement in the cell segmentation conditions means that the difference in the number of anode and cathode tabs is not a preset value (i.e., 0). If the quantity difference requirement in the cell segmentation conditions is met, the method detects whether the cell tail identifier in the image features meets the tail identifier requirement in the cell segmentation conditions; if the tail identifier requirement in the cell segmentation conditions is met, the cell segmentation conditions are determined to be met.

[0199] Step 1228: Determine if the cell length requirement is met; if yes, proceed to step 1230; otherwise, end.

[0200] Specifically, it is determined whether the cell cutting conditions are met. If the cell cutting conditions are met, it is determined whether the cumulative length of multiple consecutive electrode units in the laminated composite strip meets the cell length requirements. Here, a cell includes a preset number of electrode units.

[0201] Step 1230: If the cell length requirement is met, mark the cell cutting position.

[0202] Specifically, if the cell length requirement is met, the position of the cell tail marker in the image feature within the laminated composite strip is marked as the cell cutting position. The current strip's virtual code is obtained via PLC, and all electrodes between the first and last electrodes of the current cell are sequentially bound to the virtual code. The current strip's virtual code can be understood as the virtual code of the current cell.

[0203] In the above embodiments, after marking the electrode positions of the laminated composite strip and determining that the edge spacing between the first and second electrode edges in the acquisition sequence according to the electrode positions meets the spacing requirements of the laminated composite strip electrode division, an electrode unit image is output. Image feature detection is performed on the electrode unit image to determine whether the cell segmentation conditions are met, and whether the cumulative length of multiple consecutive electrode units in the laminated composite strip meets the cell length requirements; if both the cell segmentation conditions and the cell length requirements are met, the cell segmentation position is determined. By performing electrode and cell segmentation processing on the continuous laminated composite strip of the anode, the cell to which each electrode unit belongs can be determined; and by specifically binding the data of the laminated composite strip in each process to the corresponding electrode unit and the corresponding cell, data traceability and data storage of the laminated composite strip can be achieved.

[0204] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0205] Based on the same inventive concept, this application also provides a marking processing apparatus for continuous composite strips for implementing the marking processing method for continuous composite strips described above. The solution provided by this apparatus is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the marking processing apparatus for continuous composite strips provided below can be found in the limitations of the marking processing method for continuous composite strips described above, and will not be repeated here.

[0206] In one embodiment, such as Figure 13 As shown, a marking and processing device for continuous composite strips is provided, comprising: an image acquisition module 1302, a target image determination module 1304, and an electrode sheet segmentation module 1306, wherein:

[0207] Image acquisition module 1302 is used to acquire the first image sequence of the continuous composite strip during the transportation to the lamination process.

[0208] The image to be detected determination module 1304 is used to stitch together multiple images in the first image sequence according to the acquisition order to obtain an image to be detected including at least one polarimetric structure.

[0209] The electrode segmentation module 1306 is used to mark the position of the second electrode edge in the continuous composite strip as the electrode segmentation position of the continuous composite strip if it is found that the image to be detected includes two electrode edges.

[0210] In the aforementioned marking and processing device for continuous composite strip, an image sequence is obtained by acquiring images of the continuous composite strip; multiple images in the first image sequence are spliced ​​together according to the acquisition order to obtain an image to be detected including at least one electrode structure; if two electrode edges are identified in the image to be detected, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode segment position of the continuous composite strip; by identifying the electrode edges in the continuous composite strip to determine the electrode segment position, the specific position information of the electrode is obtained, and the continuous composite strip is accurately segmented and marked.

[0211] In one embodiment, the image to be detected determination module 1304 is further configured to, when the identification result of the electrode segmentation module 1306 is that the image to be detected includes only one electrode edge, stitch the image to be detected with the next frame image adjacent to the image to be detected in the first image sequence to update the image to be detected.

[0212] In one embodiment, the image determination module 1304 is further configured to, after the electrode segmentation module 1306 marks the position of the electrode segment, use the image where the edge of the second electrode is located as the first frame image for stitching the next image to be detected, and re-stitch multiple images in the image sequence according to the acquisition order to obtain an image to be detected including at least one electrode structure.

[0213] Optionally, in one embodiment, the image acquisition module 1302 is further configured to acquire a second image sequence during the transport of the continuous composite strip to the lamination process; the second image sequence is acquired from the second side of the continuous composite strip; the first side and the second side are opposite sides of the continuous composite strip.

[0214] Optionally, in one embodiment, the image to be detected determination module 1304 is further configured to stitch together multiple images in the second image sequence according to the acquisition order to obtain an image to be detected including at least one electrode structure; if it is identified that the image to be detected includes two electrode edges, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode splitting position of the continuous composite strip, thereby obtaining the electrode splitting position of the continuous composite strip on the second surface.

[0215] The electrode segmentation module 1306 is also used to determine the electrode segmentation position of the continuous composite strip when the electrode segmentation position on the first side and the electrode segmentation position on the second side are the same.

[0216] In one embodiment, a marking processing device for continuous composite strip is provided. In addition to an image acquisition module 1302, a test image determination module 1304, and an electrode segmentation module 1306, it may further include: an anomaly detection module, an edge spacing determination module, an electrode unit image output module, an image feature module, a cell segmentation detection module, and a segmentation position marking module, wherein:

[0217] The anomaly detection module is used to output the image to be detected if the edge of the electrode is not detected in the image to be detected, and to perform anomaly detection on the continuous composite strip.

[0218] The edge spacing determination module is used to determine the edge spacing between the edges of the first and second electrodes in the acquisition sequence based on the position of the electrode separator.

[0219] The electrode unit image output module is used to extract the image between the edges of the first electrode and the second electrode if the edge spacing meets the spacing requirements of the continuous composite strip electrode division, and output the electrode unit image.

[0220] The edge spacing determination module is also used to obtain the position coordinates of the first electrode edge and the second electrode edge in the image to be detected; and to obtain the edge spacing between the first electrode edge and the second electrode edge based on the position coordinates.

[0221] The image feature module is used to extract image features from the polar unit image.

[0222] The cell detection module is used to detect whether the electrode unit image meets the cell segmentation conditions based on image features. If the cell segmentation conditions are met, it determines whether the cumulative length of multiple consecutive electrode units in the continuous composite strip meets the cell length requirements. Here, a cell includes a preset number of electrode units.

[0223] The cutting position marking module is used to mark the cutting position of the battery cell if it meets the cell length requirements.

[0224] The cell segmentation detection module is also used to detect whether the difference in the number of anode and cathode tabs in the image features meets the quantity difference requirement in the cell segmentation conditions. If it meets the quantity difference requirement in the cell segmentation conditions, it detects whether the tail mark in the image features meets the tail mark requirement in the cell segmentation conditions. If it meets the tail mark requirement in the cell segmentation conditions, it is determined that the cell segmentation conditions are met.

[0225] The cutting position marking module is also used to mark the position of the battery cell tail in the image features in the continuous composite strip as the cutting position of the battery cell.

[0226] The cell separation detection module is also used to acquire image acquisition pulse values ​​during the transportation of continuous composite strips to the stacking process; and to detect whether the image acquisition pulse values ​​meet the pulse requirements for cell separation.

[0227] Each module in the aforementioned marking and processing device for continuous composite strips can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0228] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0229] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 14As shown. The computer device includes a processor, memory, communication interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a marking method for continuous composite strips. The display screen can be a liquid crystal display (LCD) or an electronic ink display. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse. Those skilled in the art will understand that… Figure 14 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0230] Based on the same inventive concept, this application also provides a marking system for continuous composite strips for implementing the marking method for continuous composite strips described above. The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the marking system for continuous composite strips provided below can be found in the limitations of the marking method for continuous composite strips described above, and will not be repeated here.

[0231] In one embodiment, such as Figure 15 As shown, a marking processing system for a continuous composite strip is provided. The processing system includes an image acquisition component, an encoder, a memory, and a computer device as described above. The image acquisition component supports the continuous composite strip, and the continuous composite strip drives the encoder to work during the running of the strip, triggering the image acquisition component to acquire images.

[0232] The image acquisition component includes a photographing roller and a line scan camera. The photographing roller supports the continuous composite material strip, and a set of line scan cameras are respectively set at corresponding positions on the photographing roller. During the operation of the continuous composite material strip, the encoder is activated to trigger the line scan cameras to acquire images. Optionally, a set of line scan cameras and a linear light source can be respectively set at corresponding positions on the photographing roller to capture images of the front and back sides of the material strip, thereby improving the quality of the acquired images.

[0233] In one embodiment, such as Figure 16 The diagram shows the hardware layout of a marking system for a continuous composite strip. During the strip's conveyor belt operation, two imaging rollers are installed, supporting the front and back sides of the strip respectively. A linear scan camera and a linear light source are positioned at corresponding positions on the two rollers to capture images of the front and back sides of the strip. During the strip's movement, an encoder triggers the linear scan cameras to capture images. Specifically, A101 is the linear scan camera for front-side detection, A102 is the front-side detection light source, A103 is the front-side detection imaging roller / encoding roller, A104 is the back-side detection linear scan camera, A105 is the back-side detection light source, and A103 is the back-side detection imaging roller / encoding roller.

[0234] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0235] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0236] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0237] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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.

[0238] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A marking process for a continuous composite strip, characterized in that, The method includes: Acquire a first image sequence of a continuous composite strip; wherein the continuous composite strip includes a continuous base strip and multiple layered structures composited on the base strip, the base strip includes a diaphragm and a strip, and the layered structures include a cathode tab, an anode tab, and an electrode sheet with the opposite polarity to the strip; Multiple images from the first image sequence are stitched together in the acquisition order to obtain an image to be detected, including at least one electrode structure; wherein, multiple images are acquired from either side of the continuous composite strip along the preset conveying direction of the strip to obtain the first image sequence. If the image to be detected includes two electrode edges, the position of the second electrode edge in the continuous composite strip in the acquisition sequence is marked as the electrode position of the continuous composite strip; wherein, the electrode edge is the edge of the electrode on the same surface of the continuous composite strip in the direction of the strip, and the second electrode edge is the electrode edge of the latter of the two electrodes in the direction of the strip.

2. The method according to claim 1, characterized in that, The method further includes: If it is detected that the image to be detected contains only one pole edge, then the image to be detected is stitched together with the next frame image adjacent to the image to be detected in the first image sequence, and the image to be detected is updated.

3. The method according to claim 1, characterized in that, The method further includes: The step of using the image containing the edge of the second electrode as the first frame image for stitching the next image to be detected, and returning multiple images in the image sequence stitched in the acquisition order to obtain an image to be detected including at least one electrode structure.

4. The method according to claim 1, characterized in that, The first image sequence is acquired from the first surface of the continuous composite strip, and the method further includes: A second image sequence is acquired during the transport of the continuous composite strip to the lamination process; the second image sequence is acquired from the second side of the continuous composite strip; the first side and the second side are opposite sides of the continuous composite strip; For the second image sequence, multiple images in the second image sequence are stitched together in the acquisition order to obtain a detection image including at least one electrode structure; if two electrode edges are identified in the detection image, the position of the second electrode edge in the continuous composite strip in the acquisition order is marked as the electrode splitting position of the continuous composite strip, and the electrode splitting position of the continuous composite strip on the second surface is obtained. When the electrode separator positions on the first side and the second side of the continuous composite strip are the same, the electrode separator positions of the continuous composite strip are determined.

5. The method according to claim 1, characterized in that, The method further includes: If no electrode edge is detected in the image to be detected, the image to be detected is output to perform anomaly detection on the continuous composite strip.

6. The method according to any one of claims 1 to 5, characterized in that, The method further includes: Based on the position of the electrode, determine the edge spacing between the edge of the first electrode and the edge of the second electrode in the acquisition sequence; If the edge spacing meets the spacing requirements of the continuous composite strip electrode, extract the image between the edge of the first electrode and the edge of the second electrode, and output the electrode unit image.

7. The method according to claim 6, characterized in that, Determining the edge spacing between the edges of the first electrode and the second electrode includes: Obtain the position coordinates of the first electrode edge and the second electrode edge in the image to be detected; The edge spacing between the edges of the first electrode and the second electrode is obtained based on the position coordinates.

8. The method according to claim 6, characterized in that, After extracting the image between the edges of the first electrode and the second electrode and outputting the electrode unit image, if the edge spacing meets the spacing requirements of the continuous composite strip electrode, the method further includes: Extract the image features of the polarimeter unit image; Based on the image features, it is detected whether the electrode unit image meets the cell segmentation conditions; If the cell cutting conditions are met, it is determined whether the cumulative length of multiple consecutive electrode units in the continuous composite strip meets the cell length requirements; wherein, a cell includes a preset number of electrode units; If the cell length requirement is met, mark the cell cutting position.

9. The method according to claim 8, characterized in that, The step of detecting whether the electrode unit image meets the cell segmentation conditions based on the image features includes: Detect whether the difference in the number of anode and cathode tabs in the image features meets the quantity difference requirement in the cell segmentation conditions; If the quantity difference requirement in the cell segmentation conditions is met, detect whether the cell tail identifier in the image features meets the tail identifier requirement in the cell segmentation conditions; If the tail identification requirement in the cell splitting conditions is met, the cell splitting conditions are determined to be met.

10. The method according to claim 9, characterized in that, The marking positions of the battery cells include: The position of the cell tail in the image feature within the continuous composite strip is marked as the cell cutting position.

11. The method according to claim 9, characterized in that, Before marking the cutting positions of the battery cells, the method further includes: Acquire the image acquisition pulse values ​​of the continuous composite strip during the transportation to the lamination process; The detection process checks whether the image acquisition pulse value meets the pulse requirements for cell segmentation.

12. A marking and processing device for a continuous composite strip, characterized in that, The device includes: An image acquisition module is used to acquire the first image sequence of the continuous composite strip during the transportation to the lamination process; wherein the continuous composite strip includes a continuous base strip and multiple layer structures laminated on the base strip, the base strip includes a diaphragm and a strip, and the layer structures include a cathode tab, an anode tab, and an electrode sheet with the opposite polarity to the strip. The image to be detected determination module is used to stitch together multiple images in the first image sequence according to the acquisition order to obtain an image to be detected including at least one electrode structure; wherein, along the preset conveying direction of the conveyor belt, multiple images are acquired on either side of the front or back of the continuous composite conveyor belt to obtain the first image sequence; The electrode segmentation module is used to mark the position of the second electrode edge in the continuous composite strip as the electrode segmentation position of the continuous composite strip if it is detected that the image to be detected includes two electrode edges; wherein, the electrode edge is the edge of the electrode on the same surface of the continuous composite strip, on the side of the strip in the conveying direction, and the second electrode edge is the electrode edge of the latter of two electrodes in the continuous conveying direction.

13. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 11.

14. A marking system for continuous composite strips of batteries, characterized in that, The processing system includes an image acquisition component, an encoder, a memory, and a computer device as described in claim 13. The image acquisition component supports the continuous composite strip, and the continuous composite strip drives the encoder to work during the operation of the strip, triggering the image acquisition component to acquire images.

15. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 11.

16. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 11.

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