Methods, apparatus, equipment and media for determining the causes of printing defects in solar cells.

Abstract

This invention relates to a method, apparatus, equipment, and medium for determining the causes of printing defects in solar cells, belonging to the technical field of photovoltaic module manufacturing. The method includes: acquiring all EL images of solar cell strings within a preset period, and using the acquired EL images as first EL images to be processed; selecting EL images of solar cell strings exhibiting abnormalities from the first EL images to be processed, and using the selected EL images as second EL images to be processed; acquiring first printing process information corresponding to the first EL images to be processed; determining second printing process information based on the first and second EL images to be processed; determining the cause of the printing defect based on the first and second printing process information; and displaying the cause of the printing defect. This application improves the efficiency of determining the causes of defects in the printing process.

Description

Technical Field

[0001] This application relates to the technical field of photovoltaic module manufacturing, and in particular to a method, apparatus, equipment and medium for determining the causes of printing defects in solar cells. Background Technology

[0002] Solar energy is a green, efficient, and inexhaustible new energy source and an important component of renewable resources. In solar energy applications, photovoltaic power generation is an important application method, among which crystalline silicon solar cells dominate the photovoltaic power generation field.

[0003] Compared to other types of commercially available cells, crystalline silicon solar cells have higher conversion efficiency, and high-efficiency back-contact cells and back-contact modules are the main trend in the development of crystalline silicon photovoltaic modules.

[0004] The manufacturing process of the back contact assembly mainly involves: first, using a printing press to apply insulating adhesive to the battery cells; then, sending the printed battery cells into a stringer for stringing; and finally, performing EL image inspection on the stringed battery cells. When the EL image is abnormal due to printing issues, all printing presses need to be stopped, and each printing press needs to be printed separately to investigate the cause of the defect, resulting in low efficiency in identifying the cause of the defect. Summary of the Invention

[0005] To improve the efficiency of determining the causes of defects in the cell printing process, this application provides a method, apparatus, equipment, and medium for determining the causes of cell printing defects.

[0006] Firstly, this application provides a method for determining the causes of printing defects in battery cells, employing the following technical solution:

[0007] A method for determining the cause of printing defects in battery cells includes:

[0008] When the preset period is reached, acquire all battery string EL images within the preset period, and use the acquired battery string EL images as the first EL images to be processed;

[0009] Select the battery string EL image that shows an anomaly from the first EL image to be processed, and use the selected battery string EL image as the second EL image to be processed;

[0010] Obtain the first printing process information corresponding to the first EL image to be processed, wherein the first printing process information includes insulating adhesive material information, printing machine number and process parameter formula;

[0011] The second printing process information to be processed is determined based on the first printing process information to be processed and the second EL image to be processed.

[0012] The cause of the printing defect in the battery cell is determined based on the first printing process information to be processed and the second printing process information to be processed.

[0013] The reasons for the poor printing of the battery cells are displayed.

[0014] By adopting the above technical solution, the battery string EL images within a preset period are combined with printing process information to automatically analyze and determine the causes of printing defects in battery cells. This greatly improves the efficiency of determining the causes of defects in the printing process compared to the method of stopping all printing machines and printing on each machine separately to investigate the causes of defects.

[0015] Optionally, determining the cause of printing defects in the battery cells based on the first printing process information to be processed and the second printing process information to be processed includes:

[0016] The second printing process information to be processed is classified to obtain multiple first categories;

[0017] The first category is classified to obtain multiple second categories, and the second categories are used as the data set to be calculated.

[0018] Select a second category from the dataset to be calculated as the category to be calculated.

[0019] Calculate the yield rate of the battery strings corresponding to the category to be calculated;

[0020] Determine whether the yield rate is less than a preset yield rate threshold;

[0021] If so, the category to be calculated is taken as the cause of poor battery cell printing; otherwise, a second category is selected from the remaining second categories in the data set to be calculated as the category to be calculated, and the step of calculating the yield rate of the battery string corresponding to the category to be calculated is repeated.

[0022] By adopting the above technical solution, the second printing process information to be processed is gradually classified to form a set of data to be calculated. One of the second categories in the set of data to be calculated is selected as the category to be calculated, and the yield rate of the category to be calculated is calculated. When the yield rate is less than the preset yield rate threshold, the category to be calculated is determined to be the cause of the defective battery cell printing. When the yield rate is not less than the preset yield rate threshold, other second categories are selected in the set of data to be calculated for calculation and comparison, so as to quickly locate the cause of the defective battery cell printing.

[0023] Optionally, calculating the yield rate of the battery strings corresponding to the category to be calculated includes:

[0024] Obtain the first total amount of the second EL image to be processed, which includes the category to be calculated;

[0025] Obtain the second total amount of the first EL image to be processed;

[0026] The yield rate is calculated based on the first total and the second total.

[0027] Optionally, before the step of calculating the yield rate of the battery strings corresponding to the category to be calculated in the loop, the method further includes:

[0028] The second EL image to be processed, which contains the category to be calculated, is removed from the first EL image to be processed.

[0029] By adopting the above technical solution, the second EL image to be processed that has a yield rate of not less than a preset yield rate threshold is removed from the first EL image to be processed, thereby reducing the error in calculating the yield rate of other second categories in the dataset to be calculated and improving accuracy.

[0030] Optionally, the second EL image to be processed and the printing process information corresponding to the second image to be processed can be displayed.

[0031] Optionally, before acquiring all battery string EL images within the preset period, the method further includes:

[0032] Obtain the flower basket ID and printing process information, and bind the flower basket ID and printing process information;

[0033] Obtain the serial welding machine number and the flower basket ID, and bind the flower basket ID to the serial welding machine number;

[0034] Obtain the EL image of the battery string and bind the EL image of the battery string to the serial number of the string welding machine.

[0035] By adopting the above technical solution, binding the basket ID with the printing process information, binding the basket ID with the serial number of the welding machine, and binding the basket ID with the serial number of the welding machine, the printing process information of abnormal battery string EL images can be quickly traced, which facilitates the tracing of the cause of battery cell printing defects.

[0036] Optional, also includes:

[0037] Each of the string welding machine numbers corresponds to multiple basket IDs, and each basket ID corresponds to the same printing process information.

[0038] Secondly, this application provides a device for determining the cause of printing defects in battery cells, which adopts the following technical solution:

[0039] A device for determining the cause of printing defects in battery cells, comprising:

[0040] The module is used to acquire all battery string EL images within the preset period when the preset period is reached, and to use the acquired battery string EL images as the first EL images to be processed.

[0041] The selection module is used to select the battery string EL image that shows an abnormality from the first EL image to be processed, and use the selected battery string EL image as the second EL image to be processed.

[0042] The acquisition module is used to acquire the first printing process information to be processed corresponding to the first EL image to be processed, wherein the first printing process information to be processed includes insulating adhesive material information, printing machine number and process parameter formula;

[0043] The first determining module is used to determine the second printing process information to be processed based on the first printing process information to be processed and the second EL image to be processed.

[0044] The second determining module is used to determine the cause of printing defects in the battery cells based on the first printing process information to be processed and the second printing process information to be processed.

[0045] The display module is used to display the reasons for the printing defects of the battery cells.

[0046] By adopting the above technical solution, the battery string EL images within a preset period are combined with printing process information to automatically analyze and determine the causes of printing defects in battery cells. This significantly improves the efficiency of determining the causes of defects in the printing process compared to the previous method of shutting down all printing machines and printing on each machine separately to investigate the causes of defects.

[0047] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0048] An electronic device includes a processor and a memory, wherein the processor is coupled to the memory;

[0049] The processor is configured to execute a computer program stored in the memory, causing the electronic device to perform the method as described in any of the first aspects.

[0050] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0051] A computer-readable storage medium includes a computer program or instructions that, when executed on a computer, cause the computer to perform the method as described in any of the first aspects. Attached Figure Description

[0052] Figure 1This is a flowchart illustrating a method for determining the causes of printing defects in battery cells in this embodiment.

[0053] Figure 2 This is a structural block diagram illustrating the connection relationship between a printer, a stringer, and a flower basket in this embodiment.

[0054] Figure 3 This is a structural block diagram illustrating the sub-step S105 in this embodiment.

[0055] Figure 4 This is a structural block diagram illustrating a device for determining the cause of printing defects in battery cells in this embodiment.

[0056] Figure 5 This is a structural block diagram illustrating an electronic device in this embodiment. Detailed Implementation

[0057] The present application will be further described in detail below with reference to the accompanying drawings.

[0058] This specific embodiment is merely an explanation of this application and is not intended to limit it. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0059] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0060] Furthermore, the term "and / or" in this article 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, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0061] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0062] This application provides a method for determining the cause of printing defects in battery cells. This method can be executed by an electronic device, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet computer, desktop computer, etc., but is not limited to these.

[0063] like Figure 1 As shown, a method for determining the causes of printing defects in battery cells, applied to an enterprise database, is described in its main process flow as follows (steps S101 to S106):

[0064] Step S101: When the preset period is reached, acquire all battery string EL images within the preset period, and use the acquired battery string EL images as the first EL images to be processed.

[0065] In this embodiment, the flower basket ID, printing process information, stringer number, and battery string EL image need to be bound together first, so as to quickly trace the printing process information of the battery string EL image.

[0066] Specifically, the process involves obtaining the basket ID and printing process information, and binding the basket ID and printing process information together; obtaining the stringer number and basket ID, and binding the basket ID with the stringer number; and obtaining the battery string EL image, and binding the battery string EL image with the stringer number. Each stringer number corresponds to multiple basket IDs, and each basket ID corresponds to the same printing process information.

[0067] In this embodiment, the flower basket is used to feed the printed battery cells into the stringer for stringing to obtain battery strings. Each flower basket corresponds to an ID, and each stringer and printing machine corresponds to multiple flower baskets. Each flower basket corresponds to only one stringer and one printing machine. Each stringer and printing machine corresponds to a specific number. In this embodiment, the number of the stringer is called the stringer number, and the number of the printing machine is called the printing machine number.

[0068] like Figure 2 As shown, the relationship between the printing press, the stringer, and the basket is explained. The battery cells printed by the printing press 1, printing press 2, and printing press 3 are stringed by the stringer 1 through the basket. Specifically, the printing press 1 corresponds to baskets 1-1, 1-2, and 1-3, the printing press 2 corresponds to baskets 2-1, 2-2, and 2-3, and the printing press 3 corresponds to baskets 3-1, 3-2, and 3-3.

[0069] The insulating adhesive material information and process parameter formula may be different for each printing press. Therefore, the printing press number, insulating adhesive material information, and process parameter formula are used as printing process information.

[0070] In this embodiment, the electronic device obtains the flower basket ID and the printing process information corresponding to the flower basket ID, and binds the flower basket ID and the printing process information corresponding to the flower basket ID. For example, the printing process information of printing machine 1 is bound to flower basket 1-1, flower basket 1-2 and flower basket 1-3 respectively.

[0071] In this embodiment, a barcode is affixed to the flower basket, and the barcode includes a flower basket ID. Before the battery cells in the flower basket enter the stringer, the barcode scanner on the stringer scans and reads the barcode of the flower basket to determine the flower basket ID. The barcode scanner sends the flower basket ID to the stringer, which stores the flower basket ID and sends the stringer number and flower basket number to an electronic device. The electronic device receives the stringer number and flower basket number and binds the stringer number and flower basket number.

[0072] After the stringing machine finishes stringing the battery cells, it performs EL image inspection on the completed battery strings and assigns numbers to the EL images. The EL image numbers of battery strings in the same basket within the same stringing machine are interconnected, meaning they are bound to the stringing machine through the EL image numbers. For example, the EL image numbers of the battery strings in basket 1-1 in stringing machine 1 are 1-1-1 and 1-1-2, and the EL image numbers of the battery strings in basket 2-1 in stringing machine 1 are 2-1-1 and 2-1-2.

[0073] In this embodiment, the electronic device analyzes the battery string EL image pairs within a preset period to analyze the causes of defects in the battery cell printing process. The preset period can be 1 day, 1 week, or can be set according to the needs of the staff, and is not specifically limited thereto. When the preset period is reached, the electronic device acquires all battery string EL images within the preset period and uses the battery string EL images within the preset period as the first EL images to be processed.

[0074] Step S102: Select the battery string EL image that shows abnormality from the first EL image to be processed, and use the selected battery string EL image as the second EL image to be processed;

[0075] In this embodiment, the electronic device automatically analyzes the EL images of battery strings that are abnormal, and the EL images of battery strings that are abnormal in the first EL image to be processed are used as the second EL image to be processed.

[0076] One method for automatically analyzing abnormal battery string EL images is to input the first EL image to be processed into a trained neural network model to obtain the second EL image to be processed.

[0077] Step S103: Obtain the first printing process information corresponding to the first EL image to be processed, wherein the first printing process information includes insulating adhesive material information, printing machine number and process parameter formula;

[0078] In this embodiment, the electronic device queries the first printing process information corresponding to the first image to be processed by the battery string EL image number of the first EL image to be processed. The first printing process information includes the printing machine number, insulating adhesive material information, and process parameter formula.

[0079] Step S104: Determine the second printing process information based on the first printing process information to be processed and the second EL image to be processed;

[0080] In this embodiment, the second printing process information corresponding to the second EL image to be processed is selected by the battery string EL image number of the second EL image to be processed. The second processing information includes the printing machine number, insulating adhesive material information and process parameter formula.

[0081] Step S105: Determine the cause of printing defects in the battery cells based on the first printing process information to be processed and the second printing process information to be processed.

[0082] Among them, such as Figure 3 As shown, step S105 includes the following sub-steps (steps S1051 to S1057):

[0083] Step S1051: Classify the second printing process information to be processed to obtain multiple first categories;

[0084] Step S1052: Classify the first category to obtain multiple second categories, and use the second categories as the data set to be calculated;

[0085] In this embodiment, the second printing process information to be processed is divided into three categories: insulating adhesive material information, printing machine number, and process parameter formula. These three categories are designated as the first category. The first category may correspond to multiple second categories. For example, the printing machine number includes A1, A2, and A3; the insulating adhesive material information includes B1, B2, and B3; and the process parameter formula includes C1, C2, and C3. Among these, A1, A2, A3, B1, B2, B3, and C1, C2, C3 are the second categories, and the data set to be calculated includes A1, A2, A3, B1, B2, B3, and C1, C2, C3.

[0086] Step S1053: Select a second category from the dataset to be calculated as the category to be calculated;

[0087] Step S1054: Calculate the yield rate of the battery strings corresponding to the category to be calculated;

[0088] Specifically, the process involves obtaining a first total number of the second EL images to be processed, which includes the categories to be calculated; obtaining a second total number of the first EL images to be processed; and calculating the yield rate based on the first and second total numbers.

[0089] Among them, the formula is adopted. Calculate the yield rate of the second category, where YR is the yield rate.

[0090] In this embodiment, a second category is arbitrarily selected from A1, A2, A3, B1, B2, B3, C1, C2, and C3 as the category to be calculated. For example, A1 is selected.

[0091] A1 yield rate:

[0092] Step S1055: Determine whether the yield rate is less than the preset yield rate threshold. If yes, proceed to step S1056; otherwise, proceed to step S1057.

[0093] Step S1056: The classification to be calculated is used as the cause of poor cell printing.

[0094] Step S1057 involves selecting one of the remaining second categories in the dataset to be calculated as the category to be calculated, and iteratively calculating the yield rate of the battery strings corresponding to the category to be calculated. Before the step of iteratively calculating the yield rate of the battery strings corresponding to the category to be calculated, the method further includes: removing the second EL image containing the category to be calculated from the first EL image to be processed.

[0095] In this embodiment, when the electronic device obtains the yield rate of A1, it compares the yield rate of A1 with a preset yield rate threshold. When the yield rate of A1 is less than the preset yield rate threshold, A1 is regarded as the cause of poor battery cell printing, and the comparison is stopped. When the yield rate of A1 is not less than the preset yield rate threshold, the second EL image to be processed containing A1 is removed, that is, the number of second EL images to be processed containing A1 is subtracted from the second total, and then the yield rates of other second categories in the data set to be calculated are calculated.

[0096] In this embodiment, one of the second categories A2, A3, B1, B2, B3, C1, C2, and C3 is selected as the category to be calculated. The steps of step S1054 are repeated. When all the second categories have been calculated and compared and there is no category with a yield rate lower than the preset yield rate threshold, it is determined that there is no reason for the battery cell printing defect.

[0097] Step S106: Display the reasons for the poor printing of the battery cells.

[0098] Step S106 further includes displaying the second EL image to be processed and the printing process information corresponding to the second EL image to be processed.

[0099] In this embodiment, when the cause of the battery cell printing defect is determined, the cause of the battery cell printing defect, the second EL image to be processed, and the printing process information corresponding to the second image to be processed are displayed so that the staff can quickly locate the cause of the battery cell printing defect.

[0100] In this embodiment, this application can only investigate one type of printing defect for battery cells at a time. When there are multiple printing defects for battery cells, they can also be investigated in the next preset cycle. By combining the EL images of the battery string within the preset cycle with the printing process information, the printing defects for battery cells are automatically analyzed and determined, thereby improving the efficiency of determining the causes of defects.

[0101] Figure 4 A structural block diagram of a battery cell printing defect determination device 200 provided in this application.

[0102] like Figure 4 As shown, the device 200 for determining the cause of printing defects in solar cells mainly includes:

[0103] The module 201 is used to acquire all battery string EL images within the preset period when the preset period is reached, and to use the acquired battery string EL images as the first EL images to be processed.

[0104] The selection module 202 is used to select the battery string EL image that shows abnormality from the first EL image to be processed, and use the selected battery string EL image as the second EL image to be processed.

[0105] The acquisition module 203 is used to acquire the first printing process information corresponding to the first EL image to be processed, wherein the first printing process information to be processed includes insulating adhesive material information, printing machine number and process parameter formula;

[0106] The first determining module 204 is used to determine the second printing process information to be processed based on the first printing process information to be processed and the second EL image to be processed.

[0107] The second determining module 205 is used to determine the cause of printing defects in the battery cell based on the first printing process information to be processed and the second printing process information to be processed.

[0108] Display module 206 is used to display the reasons for poor printing of battery cells.

[0109] In this optional embodiment, the second determining module 205 includes:

[0110] The first classification submodule is used to classify the second printing process information to be processed, resulting in multiple first classifications;

[0111] The second classification submodule is used to classify each first category and obtain multiple second categories corresponding to each first category;

[0112] The calculation submodule is used to calculate the yield rate of battery strings corresponding to the second category in the first category;

[0113] The determination submodule is used to determine the second category in the first category as the cause of defect when the yield rate is less than the preset yield rate threshold;

[0114] The loop submodule is used to iteratively calculate the yield rate of the battery strings corresponding to the second category in the first category until the yield rate comparison of the second category in all the first categories is completed.

[0115] As an optional implementation of this embodiment, the battery cell printing defect determination device 200 further includes:

[0116] The rejection module is used to reject the second EL image to be processed in the second category, which contains the reasons for defects, from the first EL image before the step of cyclically calculating the yield rate of the second category in the first category.

[0117] As an optional implementation of this embodiment, the calculation submodule is specifically used for:

[0118] Determine the first total quantity of the second EL images to be processed corresponding to the second category containing the defect reasons; determine the second total quantity of the first EL images to be processed corresponding to the second category containing the defect reasons; calculate the yield rate based on the first total quantity and the second total quantity.

[0119] As an optional implementation of this embodiment, the battery cell printing defect determination device 200 further includes:

[0120] The information display module is used to display the second EL image to be processed and the printing process information corresponding to the second EL image to be processed.

[0121] As an optional implementation of this embodiment, the battery cell printing defect determination device 200 further includes:

[0122] The first binding module is used to obtain the flower basket ID and printing process information, and bind the flower basket ID and printing process information.

[0123] The second binding module is used to obtain the string welding machine number and the flower basket ID, and bind the flower basket ID to the string welding machine number;

[0124] The third binding module is used to acquire the battery string EL image and bind the battery string EL image with the string welding machine number;

[0125] Each string welding machine number corresponds to multiple basket IDs, and each basket ID corresponds to the same printing process information.

[0126] The functional modules in the embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part. If the function is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause an electronic device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of a method for determining the cause of poor battery cell printing according to various embodiments of this application.

[0127] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and modules described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0128] Figure 5 This is a structural block diagram of an electronic device 300 provided in an embodiment of this application. (See diagram below.) Figure 5 As shown, the electronic device 300 includes a memory 301, a processor 302, and a communication bus 303; the memory 301 and the processor 302 are connected via the communication bus 303. The memory 301 stores a method for determining the cause of poor printing of battery cells, as provided in the above embodiment, which can be loaded and executed by the processor 302.

[0129] The memory 301 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 301 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the method for determining the cause of printing defects in battery cells provided in the above embodiments. The data storage area may store data involved in the method for determining the cause of printing defects in battery cells provided in the above embodiments.

[0130] Processor 302 may include one or more processing cores. Processor 302 executes instructions, programs, code sets, or instruction sets stored in memory 301, and calls data stored in memory 301 to perform various functions and process data as described in this application. Processor 302 may be at least one of the following: Application-Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), controller, microcontroller, and microprocessor. It is understood that, for different devices, the electronic devices used to implement the functions of processor 302 may also be other types, and this application embodiment does not specifically limit the specific implementation.

[0131] The communication bus 303 may include a path for transmitting information between the aforementioned components. The communication bus 303 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 303 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The symbol is represented by a single double arrow, but this does not mean that there is only one bus or one type of bus.

[0132] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in the above embodiments, a method for determining the cause of printing defects in battery cells.

[0133] In this embodiment, the computer-readable storage medium can be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium can be a portable computer disk, a hard disk, a USB flash drive, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), spoofing random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory stick, floppy disk, optical disk, magnetic disk, mechanical encoding device, or any combination thereof.

[0134] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0135] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A method for determining the cause of printing defects in battery cells, characterized in that, include: When the preset period is reached, acquire all battery string EL images within the preset period, and use the acquired battery string EL images as the first EL images to be processed; Select the battery string EL image that shows an anomaly from the first EL image to be processed, and use the selected battery string EL image as the second EL image to be processed; Obtain the first printing process information corresponding to the first EL image to be processed, wherein the first printing process information includes insulating adhesive material information, printing machine number and process parameter formula; The second printing process information to be processed is determined based on the first printing process information to be processed and the second EL image to be processed. Determining the cause of printing defects in battery cells based on the first and second printing process information to be processed includes: classifying the second printing process information to be processed to obtain multiple first categories; classifying the first categories to obtain multiple second categories, and using the second categories as a set of data to be calculated; selecting one second category from the set of data to be calculated as the category to be calculated; calculating the yield rate of the battery string corresponding to the category to be calculated; determining whether the yield rate is less than a preset yield rate threshold; if yes, then the category to be calculated is used as the cause of printing defects in battery cells; if no, then the second EL image to be processed containing the category to be calculated is removed from the first EL image to be processed, and one second category from the remaining second categories in the set of data to be calculated is selected as the category to be calculated, and the step of calculating the yield rate of the battery string corresponding to the category to be calculated is repeated. The reasons for the poor printing of the battery cells are displayed.

2. The method according to claim 1, characterized in that, The calculation of the yield rate of the battery strings corresponding to the category to be calculated includes: Obtain the first total amount of the second EL image to be processed, which includes the category to be calculated; Obtain the second total amount of the first EL image to be processed; The yield rate is calculated based on the first total and the second total.

3. The method according to claim 1, characterized in that, Also includes: Display the second EL image to be processed and the printing process information corresponding to the second image to be processed.

4. The method according to claim 1, characterized in that, Before acquiring all battery string EL images within the preset period, the method further includes: Obtain the flower basket ID and printing process information, and bind the flower basket ID and printing process information; Obtain the serial welding machine number and the flower basket ID, and bind the flower basket ID to the serial welding machine number; Obtain the EL image of the battery string and bind the EL image of the battery string to the serial number of the string welding machine.

5. The method according to claim 4, characterized in that, Also includes: Each of the string welding machine numbers corresponds to multiple basket IDs, and each basket ID corresponds to the same printing process information.

6. A device for determining the cause of printing defects in battery cells, characterized in that, include: The module is used to acquire all battery string EL images within the preset period when the preset period is reached, and to use the acquired battery string EL images as the first EL images to be processed. The selection module is used to select the battery string EL image that shows an abnormality from the first EL image to be processed, and use the selected battery string EL image as the second EL image to be processed. The acquisition module is used to acquire the first printing process information to be processed corresponding to the first EL image to be processed, wherein the first printing process information to be processed includes insulating adhesive material information, printing machine number and process parameter formula; The first determining module is used to determine the second printing process information to be processed based on the first printing process information to be processed and the second EL image to be processed. The second determining module is used to determine the cause of printing defects in battery cells based on the first printing process information to be processed and the second printing process information to be processed. The module includes: classifying the second printing process information to be processed to obtain multiple first categories; classifying the first categories to obtain multiple second categories, and using the second categories as a data set to be calculated; selecting one second category from the data set to be calculated as the category to be calculated; calculating the yield rate of the battery string corresponding to the category to be calculated; determining whether the yield rate is less than a preset yield rate threshold; if yes, then the category to be calculated is used as the cause of printing defects in battery cells; if no, then the second EL image containing the category to be calculated is removed from the first EL image, and one of the remaining second categories in the data set to be calculated is selected as the category to be calculated, and the steps of calculating the yield rate of the battery string corresponding to the category to be calculated are repeated. The display module is used to indicate the cause of the printing defects in the battery cells.

7. An electronic device, characterized in that, It includes a processor and a memory, wherein the processor is coupled to the memory; The processor is configured to execute a computer program stored in the memory, causing the electronic device to perform the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, It includes a computer program or instructions that, when run on a computer, cause the computer to perform the method as described in any one of claims 1 to 5.

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