Pole piece preparation method and device, electronic equipment and computer readable storage medium

Abstract

The invention relates to a pole piece preparation method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: carrying out coating surface density detection on a to-be-detected pole piece according to a preset path, and obtaining a first coating density detection result corresponding to a current area; when it is determined that the surface density of the current area is poor according to the first coating density detection result, a first identification code is generated, and a second coating density detection result corresponding to the current area is detected; and generating a second identification code when the second coating density detection result determines that the surface density of the current area is poor to be eliminated. According to the scheme provided by the invention, the actual starting and ending positions of the bad area can be effectively and accurately reflected, so that the boundary positioning precision of the bad area is effectively improved, and the influence of boundary errors on the performance and safety of subsequent products is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pole piece preparation, and particularly relates to a pole piece preparation method and device, electronic equipment and a computer readable storage medium. BACKGROUND

[0002] In order to ensure the generation quality of the pole piece, the pole piece coating surface density exceeding the standard area needs to be marked and intercepted to prevent the unqualified pole piece from flowing into the subsequent process when the pole piece is produced by coating.

[0003] In the related art, when the pole piece is detected to be poorly coated, an artificial marking is usually used to mark the point position of the poor position. The above-mentioned method is easily affected by human factors, and the marking is not timely, which leads to a large error between the marked point position and the actual poor range boundary, affects the marking accuracy of the poor area, and causes the poor pole piece to still have poor residues after being removed in the subsequent process, thereby affecting the performance and safety of the battery product. SUMMARY

[0004] To solve or partially solve the problems in the related art, the present application provides a pole piece preparation method and device, electronic equipment and a computer readable storage medium, which can effectively and accurately reflect the actual start and end positions of the poor area, thereby effectively improving the boundary positioning accuracy of the poor area and reducing the influence of boundary error on the performance and safety of the subsequent product.

[0005] The first aspect of the present application provides a pole piece preparation method, comprising: performing coating surface density detection on the to-be-detected pole piece according to a preset path to obtain a first coating density detection result corresponding to a current area; when the surface density of the current area is determined to be poor according to the first coating density detection result, generating a first identification code and detecting a second coating density detection result corresponding to the current area; when the surface density of the current area is determined to be poor-eliminated according to the second coating density detection result, generating a second identification code.

[0006] In some embodiments, the coating surface density detection on the to-be-detected pole piece according to the preset path to obtain the first coating density detection result corresponding to the current area comprises: moving back and forth along the preset path perpendicular to the tape running direction of the to-be-detected pole piece to perform coating surface density detection and obtain the first coating density detection result corresponding to the current area.

[0007] In some embodiments, the method further comprises: when the surface density of the current area is determined to be poor according to the second coating density detection result, generating a third identification code.

[0008] In some embodiments, the first identification code, the second identification code and the third identification code at least include a predetermined partition number of the current area and surface density detection information.

[0009] In some embodiments, the predetermined partition number of the current area is obtained by the following method, comprising: According to a preset partition rule, the coating area of the to-be-detected pole piece is divided into a plurality of longitudinal partitions along the coating direction to obtain partition information; the partition information includes a plurality of partition numbers corresponding to the plurality of longitudinal partitions.

[0010] In some embodiments, the first identification code, the second identification code and the third identification code are all generated by a spray code process in a preset identification area of the to-be-detected pole piece.

[0011] In some embodiments, the method further comprises: determining a coating surface density bad range information according to all the first identification codes and all the second identification codes; based on the coating surface density bad range information, performing marking processing on the corresponding coating surface density bad area.

[0012] The second aspect of the present application provides a pole piece preparation device, comprising: a surface density dynamic detection module, configured to detect the coating surface density of the to-be-detected pole piece according to a preset path, to obtain a first coating density detection result corresponding to a current area and to detect a second coating density detection result corresponding to the current area; an identification spray code module, configured to generate a first identification code when the surface density of the current area is determined to be bad according to the first coating density detection result, and to generate a second identification code when the surface density of the current area is determined to be bad eliminated according to the second coating density detection result.

[0013] The third aspect of the present application provides an electronic device, comprising: a processor; and a memory having executable code stored thereon, when the executable code is executed by the processor, the processor executes the method as described above.

[0014] The fourth aspect of the present application provides a computer readable storage medium having executable code stored thereon, when the executable code is executed by the processor of the electronic device, the processor executes the method as described above.

[0015] The technical solution provided by the present application can include the following beneficial effects: The technical scheme of the present application detects the surface density of the pole piece along the preset path, generates a first identification code for marking in a timely manner when it is judged according to the first surface density detection result that the surface density of the current area is poor, effectively reduces the marking response delay, continuously monitors the second surface density detection result, generates a second identification code in a timely manner after judging that the current area is eliminated, forms a secondary verification mechanism, effectively and accurately reflects the actual start and end positions of the poor area by using the combination of the first identification code and the second identification code, and further effectively improves the boundary positioning accuracy of the poor area, and reduces the influence of boundary error on the performance and safety of subsequent products.

[0016] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and are not limiting to the present application. BRIEF DESCRIPTION OF DRAWINGS

[0017] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings, in which like reference characters refer to like parts throughout the figures, and wherein:

[0018] Figure 1 is a flowchart of a pole piece preparation method shown in an embodiment of the present application; Figure 2 is another flowchart of a pole piece preparation method shown in an embodiment of the present application; Figure 3 is another flowchart of a pole piece preparation method shown in an embodiment of the present application; Figure 4 is a structural schematic diagram of a pole piece in a pole piece preparation method shown in an embodiment of the present application; Figure 5 is a surface density measurement path schematic diagram in a pole piece preparation method shown in an embodiment of the present application; Figure 6 is another flowchart of a pole piece preparation method shown in an embodiment of the present application; Figure 7 is a structural schematic diagram of a pole piece preparation device shown in an embodiment of the present application; Figure 8 is another structural schematic diagram of a pole piece preparation device shown in an embodiment of the present application; Figure 9 is a structural schematic diagram of an electronic device shown in an embodiment of the present application. DETAILED DESCRIPTION

[0019] Embodiments of this application will now be described in more detail with reference to the accompanying drawings. While embodiments of this application are shown in the drawings, it should be understood that this application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to make this application more thorough and complete, and to fully convey the scope of this application to those skilled in the art.

[0020] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0021] It should be understood that although the terms "first," "second," "third," etc., may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0022] In related technologies, when coating defects are detected in the electrode sheet, manual labeling is usually used to mark the defective location. However, due to the influence of human factors, the marking may not be timely, resulting in a large error between the marked point and the actual defective area boundary. This affects the marking accuracy of the defective area, and even after the defective electrode sheet is removed in the subsequent process, there may still be defective residues, which affects the performance and safety of the battery product.

[0023] To address the aforementioned issues, this application provides an electrode preparation method that can effectively and accurately reflect the actual start and end positions of defective areas, thereby effectively improving the boundary positioning accuracy of defective areas and reducing the impact of boundary errors on the performance and safety of subsequent products.

[0024] The technical solutions of the embodiments of this application are described in detail below with reference to the accompanying drawings.

[0025] Figure 1 This is a schematic flowchart illustrating the electrode preparation method shown in the embodiments of this application.

[0026] See Figure 1 The electrode preparation method of this application includes: S110, perform coating density detection on the electrode to be tested according to the preset path, and obtain the first coating density detection result corresponding to the current area.

[0027] In this step, the coating density of the electrode to be tested is detected along a preset path using a detection device, and the first coating density detection result corresponding to the current area within the detection range is obtained.

[0028] The detection device may have at least one of the following functions: beta-ray surface density detection function and X-ray surface density detection function.

[0029] In the coating density detection process, the detection range of a single detection process may include multiple coating areas; adjacent coating areas may be distributed adjacently or with intervals. The coating area in this application may be a partitioned area after being partitioned according to a preset partitioning rule.

[0030] The preset path can refer to a pre-defined detection trajectory covering the electrode coating area. For example, the preset path can be a detection trajectory that moves laterally back and forth, thereby forming a continuous Z-shaped detection path relative to the electrode surface during the conveyor belt process.

[0031] S120: When it is determined that the areal density of the current area is poor based on the first coating density detection result, a first identification code is generated, and the second coating density detection result corresponding to the current area is detected.

[0032] In this step, when it is determined that there is a surface density defect in the current area based on the obtained first coating density result, a first identification code is generated by the identification code device to mark the surface density defect in the current area, and the monitoring of the second coating density detection result corresponding to the current area begins.

[0033] The second coating density result can be the result of the Nth coating density detection process for the current area after the first coating density detection result. It can be understood that as the coating density detection process continues, after obtaining the first coating density detection result, multiple coating density detections are continuously performed on the current area, and the range corresponding to each coating density detection is different. For example, the detection ranges of two adjacent coating density detection processes for the same area may partially overlap or not overlap at all.

[0034] The second coating density result can be used to confirm whether the defect persists or has been eliminated.

[0035] S130, when the second coating density test result determines that the surface density defect in the current area has been eliminated, a second identification code is generated.

[0036] In this step, when the second coating density detection result determines that the surface density defect in the current area has been eliminated, a second identification code is generated by the identification code device to mark the elimination of the surface density defect in the current area.

[0037] It should be understood that the detection positions of the current area corresponding to the first coating density detection result and the second coating density detection result are different, and the generation positions of the first identification code and the second identification code are also different.

[0038] The identification code generation process involves converting the detection result into identifiable marking information. The first and second identification codes can be in the form of QR codes generated by an inkjet printer.

[0039] In this embodiment, the electrode preparation method of this application performs coating surface density detection on the electrode along a preset path. When the surface density of the current area is determined to be defective based on the first coating surface density detection result, a first identification code is generated in a timely manner for marking, effectively reducing the marking response delay. Furthermore, the second coating surface density detection result is continuously monitored, and a second identification code is generated in a timely manner after the defect in the current area is determined to be eliminated, forming a secondary verification mechanism. By using the combination of the first and second identification codes, the actual start and end positions of the defective area are effectively and accurately reflected, thereby effectively improving the boundary positioning accuracy of the defective area and reducing the impact of boundary errors on the performance and safety of subsequent products.

[0040] Figure 2 This is another schematic flowchart illustrating the electrode preparation method shown in the embodiments of this application.

[0041] See Figure 2 The electrode preparation method of this application includes: S210, the coating density is detected by moving back and forth along a preset path perpendicular to the direction of the electrode to be tested, and the first coating density detection result corresponding to the current area is obtained.

[0042] In this step, the coating density is detected by moving the detection device back and forth along a path that is perpendicular to and the same as the direction of the electrode to be tested, and the first coating density detection result corresponding to the current area is obtained in real time.

[0043] The detection device can use a horizontal guide rail in conjunction with a servo motor to achieve a detection range that covers the horizontal dimension of the electrode sheet.

[0044] The first coating density test result can be the first coating density test result for an area with poor areal density in the current region. It can be understood that when the areal density test detects that the areal density of the current region meets the standard, the first coating density test result for that region is recorded.

[0045] When the path for detecting the surface density of the coating is at a 90-degree angle to the direction of the electrode conveying, the detection device reciprocates on the same transverse axis. In conjunction with the electrode conveying process, the detection trajectory can form a continuous Z-shaped coverage on the electrode surface, achieving full surface coverage detection.

[0046] S220, when it is determined that the areal density of the current area is poor based on the first coating density detection result, a first identification code is generated by combining the pre-determined partition number of the current area and the areal density detection information, and the second coating density detection result corresponding to the current area is detected.

[0047] In this step, when it is determined that there is a surface density defect in the current area based on the obtained first coating density result, a first identification code is generated by the identification code device to mark the surface density defect in the current area, and the monitoring of the second coating density detection result corresponding to the current area begins.

[0048] S230, when the second coating density test result determines that the surface density defect in the current area has been eliminated, a second identification code is generated; or when the second coating density test result determines that the surface density defect in the current area has been eliminated, a third identification code is generated.

[0049] In this step, the surface density defect is determined based on the second coating density detection result corresponding to the current area. When the surface density defect is eliminated, a second identification code is generated by the identification code device to mark that the surface density defect in the current area has been eliminated. When the surface density defect still exists, a third identification code is generated by the identification code device to mark that the surface density defect in the current area still exists.

[0050] The first and third identification codes can both be used to indicate surface density defects, while the second identification code is used to indicate the elimination of surface density defects.

[0051] It is understandable that when the first coating density test result indicates poor areal density, a first identifier code is generated. During subsequent continuous coating density tests, if the second coating density test result still indicates poor areal density, a third identifier code is generated. This process continues until the second coating density test result indicates the areal density defect has been eliminated, at which point a second identifier code is generated. In this way, different identifier codes correspond to different test results, achieving accurate representation of multiple test results. Furthermore, by generating multiple identifier codes, the changes in the test status of the same area at different test points can be accurately recorded, enabling dynamic updating of defect marking status and meeting the defect marking requirements for different areas with different durations of defects.

[0052] The first and third identifier codes can be generated using the same generation rules. That is, the corresponding data information, encoding rules, and presentation methods of the first and second identifier codes can be the same, thereby reducing the difficulty of identifier code generation.

[0053] The first, second, and third identification codes each include at least: a pre-determined partition number for the current region and areal density detection information. The partition number can be a unique code representing the current region after the electrode has been divided according to preset rules. The partition number can be presented using a numerical sequence or an alphanumeric combination. It should be understood that each partition number corresponds to a unique location region on the electrode, meaning that the location information of the current region on the electrode can be quickly obtained through the partition number. The areal density detection information can include parameter information of at least one of the following: judgment result and defective state.

[0054] The pre-determined partition number for the current region is obtained through the following method: dividing the coated area of ​​the electrode to be tested into multiple vertical partitions along the coating direction according to a preset partitioning rule, thus obtaining partition information; wherein the partition information includes multiple partition numbers corresponding to the multiple vertical partitions. It can be understood that multiple coated areas can be set on the electrode to be tested, and the coated surface of the electrode is divided into multiple vertical partitions along the coating direction. The total coverage area of ​​the multiple vertical partitions is greater than that of all coated areas on the electrode.

[0055] Among them, multiple vertical partitions can have a first type corresponding to the coating area and a second type corresponding to the empty foil area.

[0056] The preset partitioning rules can refer to dividing the electrode width into equal or unequal segments based on the coating direction. For example, the coated surface of the electrode can be divided into multiple longitudinal partitions using fixed-length intervals or dynamically adjusted intervals. These longitudinal partitions can be strip-shaped regions extending along the electrode's tape direction.

[0057] The first, second, and third identification codes can all be generated on a pre-defined marking area of ​​the electrode to be inspected using inkjet printing technology. Inkjet printing technology refers to a method of forming identifiable marks on the electrode surface using non-contact inkjet printing technology. For example, inkjet printers or laser marking equipment can be used to automatically generate the identification codes. The pre-defined marking area can refer to a fixed area designated for centralized generation of identification codes. Furthermore, the pre-defined marking area can be a blank area outside the electrode edge or coating area. By setting a fixed identification code generation area, all identification codes can be generated centrally within the same physical area, facilitating rapid location of defective area boundaries in subsequent slitting processes.

[0058] The identification code generation process may include the following steps: S310, determine the areal density detection information of the current area based on the first coating density detection result or the second coating density detection result.

[0059] S320: Based on the partition number corresponding to the current region and the areal density detection information, a target QR code representing the identification code is generated in the preset identification area of ​​the electrode to be tested.

[0060] Through the above-described identification code generation process, using QR codes as the identification code representation, the automated detection data collection is combined with the QR code generation mechanism to achieve real-time binding of detection results with physical locations.

[0061] Figure 3 This is another schematic flowchart illustrating the electrode preparation method shown in the embodiments of this application; Figure 4 This is a schematic diagram of the electrode structure in the electrode preparation method shown in the embodiments of this application; Figure 5 This is a schematic diagram of the areal density measurement path in the electrode preparation method shown in the embodiments of this application.

[0062] See Figures 3 to 5 To facilitate understanding of the technical solution of the electrode preparation method of this application, the following will be used as... Figure 3 Taking the electrode structure shown as an example, the process of marking areas with poor coating surface density in this application's technical solution is illustrated: S410 divides the electrode coating surface into longitudinal sections numbered 1 to 14.

[0063] Among them, the nine vertical partitions 1, 2, 5, 6, 7, 9, 10, 13, and 14 correspond to different areas on the electrode where coating exists, and the five vertical partitions 3, 4, 8, 11, and 12 correspond to the empty foil areas on the electrode.

[0064] S420, the detection device reciprocates along a fixed path at a 90-degree angle to the electrode strip direction to measure the areal density and obtains the areal density measurement results in real time.

[0065] In this process, the electrode is conveyed along the belt direction and the detection device moves back and forth laterally, forming a Z-shaped distribution of area measurement path relative to the electrode.

[0066] S430, when it is first determined from the areal density measurement results that there is an areal density defect in the corresponding longitudinal zone, a defect code is sprayed in the empty foil area at the same edge of the electrode.

[0067] For example Figure 5 As shown, the second longitudinal zone was the first to detect poor surface density (the red area of ​​the second longitudinal zone is close to the yellow measurement path), and the defect QR code "02" was sprayed on the empty foil area on the right edge of the electrode; the ninth longitudinal zone was the first to detect poor surface density (the red area of ​​the ninth longitudinal zone is close to the yellow measurement path), and the defect QR code "09" was sprayed on it.

[0068] S440, when the longitudinal zone is determined to have poor surface density for the Nth time based on the surface density measurement results, a defect code is sprayed in the empty foil area at the same edge of the electrode sheet; or when the longitudinal zone surface density defect is determined to be eliminated for the first time based on the surface density measurement results, a termination code is sprayed in the empty foil area at the same edge of the electrode sheet.

[0069] Where N is an integer greater than or equal to 2.

[0070] For example Figure 5 As shown, the second areal density measurement in the second longitudinal zone detects a defect in areal density (the intersection of the red area and the yellow measurement path in the middle of the second longitudinal zone), and a defect QR code "02" is sprayed on the empty foil area on the right edge of the electrode. The third areal density measurement in the second longitudinal zone detects the elimination of the defect in areal density (the position near the yellow measurement path at the end of the red area in the second longitudinal zone), and a termination QR code "Z02" is sprayed on the empty foil area on the right edge of the electrode. The third areal density measurement in the ninth longitudinal zone detects the elimination of the defect in areal density (the position near the yellow measurement path at the end of the red area in the ninth longitudinal zone), and a termination QR code "Z09" is sprayed on the empty foil area on the right edge of the electrode.

[0071] In this embodiment, the electrode preparation method of this application, by setting a vertical reciprocating scanning path, achieves full coverage of the coating area of ​​the electrode through a Z-shaped detection path, effectively ensuring the sufficiency of the electrode coating area density defect marking process; in addition, the method of this application also sets three identification codes, which can realize the state closed-loop marking of the defect state start-continue-terminate of the same area, effectively meeting the marking requirements for long-cycle defects, and further improving the accuracy of marking electrode coating area density defects.

[0072] Figure 6 This is another schematic flowchart illustrating the electrode preparation method shown in the embodiments of this application.

[0073] See Figure 6 The electrode preparation method of this application includes: S510, perform coating density detection on the electrode to be tested according to the preset path, and obtain the first coating density detection result corresponding to the current area.

[0074] S520: When it is determined that the areal density of the current area is poor based on the first coating density detection result, a first identification code is generated, and the second coating density detection result corresponding to the current area is detected.

[0075] S530, when the second coating density test result determines that the surface density defect in the current area has been eliminated, a second identification code is generated.

[0076] Steps S510 to S530 are the same as steps S110 to S130 in the aforementioned embodiment. For details, please refer to the relevant content of steps S110 to S130 above. They will not be repeated here.

[0077] S540, determine the coating surface density defect range information based on all first identification codes and all second identification codes.

[0078] In this step, the coating surface density defect range information is determined based on all first identification codes and all second identification codes, including the start and end positions of the marked surface density defect area.

[0079] S550 marks the corresponding areas with poor coating surface density based on the information on the range of poor coating surface density.

[0080] In this step, the start and end coordinates of the poor coating surface density area on the electrode are determined based on the information on the poor coating surface density area, and marking is performed based on the start and end coordinates of the poor coating surface density area.

[0081] The marking process can refer to marking defective areas on the electrode surface. This marking process ensures that subsequent processes (such as electrode winding or stacking and cutting) can accurately identify and remove defective products. The marking process may differ from the aforementioned process of generating identification codes.

[0082] In this process, the electrode sheet can be pre-determined based on all first identification codes and all second identification codes to determine the coating density defect range information, and then the slit electrode sheet can be marked based on the stored coating density defect range information.

[0083] In this embodiment, the electrode preparation method of this application automatically detects areas with poor coating density and marks them with identification codes. Then, the identification codes are used to automatically determine the range of poor coating density. Based on the range of poor coating density, the electrode products are precisely marked, enabling subsequent processes to effectively intercept the marked defective products. This achieves a fully closed-loop automated process for electrode products with poor coating density, from marking to interception, effectively improving the production quality of battery products.

[0084] Corresponding to the aforementioned application function implementation method embodiments, this application also provides an electrode preparation apparatus, an electronic device, and corresponding embodiments.

[0085] Figure 7 This is a schematic diagram of the electrode preparation apparatus shown in the embodiments of this application.

[0086] See Figure 7The electrode preparation apparatus 600 of this application includes: a areal density dynamic detection module 610 and an marking and coding module 620.

[0087] The areal density dynamic detection module 610 is used to detect the coating areal density of the electrode to be tested according to a preset path, obtain the first coating density detection result corresponding to the current area and detect the second coating density detection result corresponding to the current area.

[0088] In some implementations, the areal density dynamic detection module 610 can move back and forth along a preset path perpendicular to the carrying direction of the electrode to be detected to perform coating areal density detection and obtain a first coating density detection result corresponding to the current area.

[0089] The marking and coding module 620 is used to generate a first identification code when the surface density of the current area is determined to be defective based on the first coating density detection result, and to generate a second identification code when the surface density defect of the current area is determined to be eliminated based on the second coating density detection result.

[0090] In some implementations, the marking and coding module 620 can also be used to generate a third marking code when the second coating density detection result determines that the areal density of the current area is poor.

[0091] In some implementations, the first identifier, the second identifier, and the third identifier include at least: a pre-determined partition number for the current region and areal density detection information.

[0092] In some embodiments, the marking and coding module 620 can also be used to divide the coating area of ​​the electrode to be tested into multiple longitudinal partitions along the coating direction according to a preset partitioning rule, and obtain partitioning information; the partitioning information includes: multiple partition numbers corresponding to the multiple longitudinal partitions.

[0093] In some implementations, the first identification code, the second identification code, and the third identification code are all generated using inkjet printing technology to create QR code information in a preset identification area of ​​the electrode to be tested.

[0094] Figure 8 This is another schematic diagram of the electrode preparation apparatus shown in the embodiments of this application.

[0095] See Figure 8 The electrode preparation apparatus 600 of this application includes: a areal density dynamic detection module 610, a marking and coding module 620, and a defect marking module 630.

[0096] The defect marking module 630 is used to determine the coating surface density defect range information based on all first identification codes and all second identification codes; and to mark the corresponding coating surface density defect areas based on the coating surface density defect range information.

[0097] In this embodiment, the electrode preparation apparatus of this application performs coating surface density detection on the electrode along a preset path. When it is determined that the surface density of the current area is defective based on the first coating surface density detection result, a first identification code is generated in a timely manner for marking, effectively reducing the marking response delay. Furthermore, the apparatus continuously monitors the second coating surface density detection result. After it is determined that the defect in the current area has been eliminated, a second identification code is generated in a timely manner, forming a secondary verification mechanism. By using the combination of the first and second identification codes, the actual start and end positions of the defective area are effectively and accurately reflected, thereby effectively improving the boundary positioning accuracy of the defective area and reducing the impact of boundary errors on the performance and safety of subsequent products.

[0098] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated further here.

[0099] Figure 9 This is a schematic diagram of the structure of an electronic device shown in an embodiment of this application.

[0100] See Figure 9 The electronic device 1000 includes a memory 1010 and a processor 1020.

[0101] The processor 1020 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0102] Memory 1010 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. ROM may store static data or instructions required by processor 1020 or other modules of the computer. Permanent storage devices may be read-write storage devices. Permanent storage devices may be non-volatile storage devices that retain stored instructions and data even when the computer is powered off. In some embodiments, permanent storage devices use mass storage devices (e.g., magnetic or optical disks, flash memory) as permanent storage devices. In other embodiments, permanent storage devices may be removable storage devices (e.g., floppy disks, optical drives). System memory may be a read-write storage device or a volatile read-write storage device, such as dynamic random access memory. System memory may store some or all of the instructions and data required by the processor during operation. Furthermore, memory 1010 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (e.g., DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory 1010 may include a removable storage device that is readable and / or writable, such as a laser disc (CD), a read-only digital multifunction optical disc (e.g., DVD-ROM, dual-layer DVD-ROM), a read-only Blu-ray disc, an ultra-high density optical disc, a flash memory card (e.g., SD card, mini SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. Computer-readable storage media do not contain carrier waves or transient electronic signals transmitted wirelessly or via wired connections.

[0103] The memory 1010 stores executable code, which, when processed by the processor 1020, can cause the processor 1020 to execute part or all of the methods described above.

[0104] Furthermore, the method according to this application can also be implemented as a computer program or computer program product, which includes computer program code instructions for performing some or all of the steps in the method described above.

[0105] Alternatively, this application may be implemented as a computer-readable storage medium (or a non-transitory machine-readable storage medium or a machine-readable storage medium) storing executable code (or computer program or computer instruction code) thereon, which, when executed by a processor of an electronic device (or server, etc.), causes the processor to perform part or all of the steps of the methods described above according to this application.

[0106] The various embodiments of this application have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for preparing an electrode, characterized in that, include: The coating density of the electrode to be tested is detected according to the preset path, and the first coating density detection result corresponding to the current area is obtained. When it is determined that the areal density of the current area is poor based on the first coating density detection result, a first identification code is generated, and the second coating density detection result corresponding to the current area is detected; When the second coating density detection result determines that the surface density defect in the current area has been eliminated, a second identification code is generated.

2. The method according to claim 1, characterized in that, The step of detecting the coating density of the electrode to be tested according to a preset path and obtaining the first coating density detection result corresponding to the current area includes: The coating density is detected by moving back and forth along a preset path perpendicular to the direction of the electrode to be tested, and the first coating density detection result corresponding to the current area is obtained.

3. The method according to claim 1, characterized in that, The method also includes: When the second coating density detection result determines that the areal density of the current area is poor, a third identification code is generated.

4. The method according to claim 3, characterized in that, The first identification code, the second identification code, and the third identification code include at least: the pre-determined partition number of the current region and the areal density detection information.

5. The method according to claim 4, characterized in that, The pre-determined partition number of the current region is obtained through the following methods: According to the preset partitioning rules, the coating area of ​​the electrode to be tested is divided into multiple vertical partitions along the coating direction to obtain partitioning information; the partitioning information includes multiple partition numbers corresponding to the multiple vertical partitions.

6. The method according to claim 4, characterized in that, The first, second, and third identification codes are all generated using inkjet printing technology to create QR code information on the preset identification area of ​​the electrode to be tested.

7. The method according to claim 1, characterized in that, The method also includes: Information on the area of ​​poor coating density is determined based on all first identification codes and all second identification codes; Based on the information on the poor surface density of the coating, the corresponding areas with poor surface density are marked.

8. An electrode preparation apparatus, characterized in that, include: The areal density dynamic detection module is used to detect the coating areal density of the electrode to be tested according to a preset path, obtain the first coating density detection result corresponding to the current area and detect the second coating density detection result corresponding to the current area; The marking and coding module is used to generate a first identification code when the surface density of the current area is determined to be defective based on the first coating density detection result, and to generate a second identification code when the surface density defect of the current area is determined to be eliminated based on the second coating density detection result.

9. An electronic device, characterized in that, include: processor; as well as A memory having executable code stored thereon, which, when executed by the processor, causes the processor to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium having executable code stored thereon, characterized in that: When the executable code is executed by the processor of the electronic device, the processor performs the method as described in any one of claims 1-7.

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