Method, device and system for detecting battery component dimensions

Abstract

This application relates to a method, device, and system for detecting the dimensions of battery components. The method comprises: acquiring a digital image signal set of the battery component, which includes plates and a busbar; modeling the battery component based on the digital image signal set to obtain a three-dimensional image of the battery component; and obtaining a battery component dimension detection result based on the three-dimensional image of the battery component. This method can address the issue of damage caused by manual sizing of disassembled battery components.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method, device and system for detecting the size of battery components. Background Art

[0002] As lead-acid batteries are used in more and more areas, especially with the improvement of digitalization and information technology, the demand for battery power supply is increasing. As a result, the quality control measures for batteries are becoming more and more stringent. Not only factory inspection, but also battery product manufacturing process inspection, arrival inspection, network inspection, accident analysis and other fields have proposed dissecting batteries and deeply inspecting the battery structure. However, the residual acid extracted from the dissection of lead-acid batteries is highly corrosive, which is not conducive to manual inspection of the disassembled battery components. Summary of the Invention

[0003] Based on this, it is necessary to provide a method, device and system for detecting the size of battery components to avoid the damage caused by manual inspection of disassembled batteries in order to solve the above technical problems.

[0004] A method for detecting the size of a battery component, comprising:

[0005] Acquiring a digital image signal set of a battery component, the battery component including a plate and a busbar;

[0006] Modeling is performed based on the digital image signal set to obtain a three-dimensional image of the battery component;

[0007] A detection result of the size of the battery component is obtained based on the three-dimensional image of the battery component.

[0008] In one embodiment, before obtaining the detection result of the battery component size based on the three-dimensional image of the battery component, the method further includes:

[0009] Acquire a two-dimensional detection image of a target detection component in the battery according to the three-dimensional image, where the target detection component is one of a plate and a busbar;

[0010] Obtaining a battery component size detection result based on a three-dimensional image of the battery component, including:

[0011] The size detection result of the corresponding target detection component is obtained based on the two-dimensional detection image.

[0012] In one embodiment, obtaining a two-dimensional detection image of a target detection component in a battery based on a three-dimensional image includes:

[0013] A plurality of image points at the same preset height in a three-dimensional image are acquired, and a two-dimensional detection image is generated based on the plurality of image points; wherein the electrode plate and the bus bar are respectively located at different preset heights.

[0014] In one embodiment, obtaining a size detection result of a corresponding target detection component according to a two-dimensional detection image further includes:

[0015] Acquire shape and position feature detection parameters of battery components based on the two-dimensional detection image;

[0016] The detection results of the battery component dimensions are obtained based on the shape and position feature detection parameters and preset judgment conditions.

[0017] In one embodiment, before obtaining the shape and position feature detection parameters of the battery component according to the two-dimensional detection image, the method further includes:

[0018] Get the battery model;

[0019] Determining a corresponding target feature type according to the battery model, where the target feature type includes at least one of a straight line feature and a circle feature;

[0020] The shape and position feature detection parameters of the battery components are obtained based on the two-dimensional detection image, including:

[0021] Acquire feature detection parameters of target feature types of battery components based on the two-dimensional detection image;

[0022] The test results of the battery component dimensions are obtained based on the shape and position feature detection parameters and preset judgment conditions, including:

[0023] The detection result of the battery component size is obtained according to the feature detection parameters of the target feature type and the preset judgment conditions.

[0024] In one embodiment, obtaining a detection result of a battery component size based on a feature detection parameter of a target feature type and a preset judgment condition includes:

[0025] Obtaining a detection error of the target feature type according to a feature detection parameter of the target feature type and a preset standard parameter of the target feature type;

[0026] The detection result of the battery component size is obtained according to the detection error of the target feature type and the preset error range value.

[0027] In one embodiment, before acquiring feature detection parameters of target feature types of battery components according to the two-dimensional detection image, the method further includes:

[0028] Performing image preprocessing on the two-dimensional detection image and generating a preprocessed image;

[0029] performing edge extraction on the preprocessed image and generating an edge-extracted image of the battery component;

[0030] Acquire feature detection parameters of target feature types of battery components based on the two-dimensional detection image, including:

[0031] Perform shape and position feature detection on the edge extraction image of the battery component and generate shape and position feature detection parameters of the battery component.

[0032] A device for detecting the size of a battery component, comprising:

[0033] A signal acquisition module, configured to acquire a digital image signal set of a battery component, the battery component including a plate and a busbar;

[0034] A three-dimensional modeling module, configured to perform modeling based on the digital image signal set to obtain a three-dimensional image of the battery component;

[0035] The detection result module is used to obtain the detection result of the battery component size based on the three-dimensional image of the battery component.

[0036] A device for detecting the size of a battery component, comprising:

[0037] An image acquisition card, used for acquiring an analog image signal set of a battery component and generating a digital image signal set based on the analog image signal set;

[0038] The processor is connected to the image acquisition card, and is used to obtain a digital image signal set of a battery component, where the battery component includes a plate and a bus; perform modeling based on the digital image signal set to obtain a three-dimensional image of the battery component; and obtain a detection result of the size of the battery component based on the digital image signal.

[0039] A battery component size detection system, comprising:

[0040] An imaging device, used for capturing an analog image signal set of a battery component to be inspected;

[0041] As in the above-mentioned device for detecting the size of a battery component, wherein the image acquisition card in the device for detecting the size of a battery component is connected to the imaging device.

[0042] The aforementioned method for detecting battery component dimensions includes: acquiring a digital image signal set of the battery component, the battery component including plates and busbars; performing modeling based on the digital image signal set to obtain a three-dimensional image of the battery component; and obtaining a battery component dimension detection result based on the three-dimensional image of the battery component. The present invention utilizes the acquired digital image signal set and further performs image processing on the digital image signal set to detect the dimensions of the busbars and plates in a disassembled battery, thereby avoiding the risk of human injury associated with manual inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the conventional technology, the following briefly introduces the drawings required for use in the embodiments or the conventional technology descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 FIG1 is a flow chart of a method for detecting the size of a battery component in one embodiment;

[0045] Figure 2 Schematic diagram of the second flow chart of a method for detecting the size of a battery component in one embodiment

[0046] Figure 3 FIG3 is a flow chart of a method for detecting the size of a battery component in one embodiment;

[0047] Figure 4 FIG4 is a fourth flow chart of a method for detecting the size of a battery component in one embodiment;

[0048] Figure 5 FIG5 is a fifth flow chart of a method for detecting the size of a battery component in one embodiment;

[0049] Figure 6 Flowchart 6 of a method for detecting the size of a battery component in one embodiment

[0050] Figure 7 FIG7 is a flow chart of a method for detecting the size of a battery component in one embodiment.

[0051] Figure 8 FIG1 is a schematic diagram of a device for detecting the size of a battery component in one embodiment;

[0052] Figure 9 This is a second structural diagram of a device for detecting the size of a battery component in one embodiment;

[0053] Figure 10 Schematic diagram of the structure of a battery component size detection system in one embodiment. DETAILED DESCRIPTION

[0054] To facilitate understanding of the present application, the present application will be described more fully below with reference to the accompanying drawings. The accompanying drawings provide embodiments of the present application. However, the present application may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to make the disclosure of the present application more thorough and comprehensive.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application pertains. The terms used herein in the specification of this application are for the purpose of describing specific embodiments only and are not intended to limit this application.

[0056] It will be understood that the terms "first," "second," etc. used herein may be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish a first element from another element.

[0057] It should be noted that when an element is considered to be "connected" to another element, it can be directly connected to the other element or connected to the other element through an intervening element. In addition, the "connection" in the following embodiments should be understood as "electrical connection", "communication connection", etc., if there is transmission of electrical signals or data between the connected objects.

[0058] When used herein, the singular forms "a", "an" and "said / the" may also include plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "include / comprise" or "have" and the like specify the presence of the stated features, wholes, steps, operations, components, parts or combinations thereof, but do not exclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts or combinations thereof. In the description of this specification, the description with reference to the terms "some embodiments", "other embodiments", "ideal embodiments" and the like means that the specific features, structures, materials or features described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example.

[0059] In one embodiment, Figure 1 As shown, a method for detecting the size of a battery component is provided, including steps S100 to S300.

[0060] Step S100 , obtaining a digital image signal set of a battery component, where the battery component includes a plate and a busbar.

[0061] The digital image signal set may include continuous digital image signals and discontinuous digital image signals. That is, if corresponding to an image of a battery component, it may be a continuously captured video or discontinuous photos of the battery component captured in different directions. The different directions may be the direction of a vector formed between any two points in a coordinate system constructed by height, depth, and width.

[0062] Step S200 : Modeling is performed based on the digital image signal set to obtain a three-dimensional image of the battery component.

[0063] Step S300 : obtaining a detection result of the size of the battery component according to the three-dimensional image of the battery component.

[0064] The battery component size test results may be the actual size of each component after disassembly, or the error value obtained by comparing the actual size test value with a preset standard value, or the qualified or unqualified test results generated by comparing the error value with the error standard value. It is understood that in actual application, users can determine the test results based on their actual needs.

[0065] In this embodiment, a digital image signal set of the disassembled battery components is obtained, and the image information carried in the digital image signal set is processed to obtain the size detection results of the bus and plates of the disassembled battery. The detection process in this embodiment does not involve human contact, thus avoiding the possibility that the corrosive electrolyte in the disassembled battery may come into contact with the human body and cause human injury.

[0066] In one embodiment, Figure 2 As shown, a method for detecting the size of a battery component is provided. Before step S300, step S400 is also included. At this time, step S300 also includes step S310.

[0067] Step S400 , obtaining a two-dimensional detection image of a target detection component in the battery according to the three-dimensional image, where the target detection component is one of a plate and a busbar.

[0068] It can be understood that converting a three-dimensional image into a two-dimensional detection image is beneficial for intuitive size detection of the battery plate or busbar.

[0069] Step S310 , obtaining a size detection result of a corresponding target detection component according to the two-dimensional detection image.

[0070] In this embodiment, the size of the battery plate or busbar is detected from the image by acquiring a three-dimensional image into a two-dimensional detection image of the battery plate or busbar in a certain direction.

[0071] In one embodiment, Figure 3 As shown, a method for detecting the size of battery components is provided. The above step S400 includes: obtaining multiple image points located at the same preset height in a three-dimensional image, and generating a two-dimensional detection image based on the multiple image points; wherein the plates and the busbars are located at different preset heights respectively.

[0072] If the spatial coordinate system established in the three-dimensional image is in the x, y, and z directions, the preset height can be a certain y1 value in the y direction of the spatial coordinate system. Specifically, in the battery structure, the busbar is located above the plate. After normal disassembly, the original relative position relationship between the busbar and the plate will be retained. Therefore, in order to obtain the size detection of the plate or busbar in the three-dimensional image, it is necessary to obtain multiple image points located at the same preset height in the three-dimensional image. In this way, a cross-sectional view of the battery component in the y-axis direction can be obtained, and a two-dimensional detection image of the battery plate or the plate can be obtained from the top view. It can be understood that if the busbar detection result is to be obtained, the selected y1 value needs to be at the height position of the battery busbar; similarly, if the plate detection result is to be obtained, the selected y1 value needs to be at the height position of the battery plate.

[0073] It is understandable that if, during the actual detection process, the plates of the battery to be detected are located above the bus, the solution provided in this embodiment can still be used to convert the three-dimensional image into a two-dimensional image by appropriately adjusting the height value range.

[0074] In one embodiment, Figure 3 As shown, a method for detecting the size of a battery component is provided, and the above step S310 further includes step S311 and step S312.

[0075] Step S311: Acquire shape and position feature detection parameters of the battery components based on the two-dimensional detection image.

[0076] Feature detection is a concept in computer vision and image processing. It refers to using a computer to extract image information and determine whether each image point belongs to an image feature. The result of feature detection is to divide the points on the image into different subsets, which often belong to isolated points, continuous curves, or continuous regions. The form and position feature detection described in this embodiment refers to detecting different form and position features in the acquired two-dimensional detection image and obtaining form and position feature detection parameters. The form and position features can be circles, straight lines, angles, etc.

[0077] Step S312: Obtain the detection result of the battery component size according to the shape and position feature detection parameters and preset judgment conditions.

[0078] Specifically, after obtaining the detection parameters of the shape and position features in the image, the actual dimensions of the component in space cannot be intuitively obtained. It is necessary to establish a correspondence between the pixel positions in the image and the positions of the surface points of the spatial component to obtain the geometric dimensions of the component from the image. The established correspondence between the pixel positions in the image and the surface positions of the spatial component can be used to solve the transformation formula between image pixel distance and spatial distance.

[0079] In one embodiment, Figure 4 As shown, a method for detecting the size of battery components is provided. Before step S311, step S500 and step S600 are also included. At this time, step S311 includes step S3111, and step S312 includes step S3121.

[0080] Step S500: Obtain the battery model.

[0081] Step S600: determining a corresponding target feature type according to the battery model, where the target feature type includes at least one of a straight line feature and a circle feature.

[0082] It is understood that different battery models may have different plate and bus bar locations, and the types of plates and bus bars may also vary. The features to be detected on the plates and bus bars can be a single straight line, a single circle, or a combination of straight lines and circles.

[0083] Step S3111 , acquiring feature detection parameters of target feature types of battery components based on the two-dimensional detection image.

[0084] Step S3121 , obtaining the detection result of the battery component size according to the feature detection parameters of the target feature type and the preset judgment conditions.

[0085] In this embodiment, by obtaining the battery model and adjusting the target feature type based on the battery model, when the battery plates and busbars only include a straight line as a shape and position feature, this embodiment can adjust the target feature type to a single straight line. When the battery plates and busbars include both straight lines and circular shapes and position features, this embodiment can adjust the target feature type to a straight line and a circular shape and position feature. This allows for efficient and rapid detection results.

[0086] In one embodiment, Figure 5 As shown, a method for detecting the size of a battery component is provided, and the above-mentioned step S3121 includes step S3121a and step S3121b.

[0087] Step S3121a: Obtain a detection error of the target feature type according to the feature detection parameters of the target feature type and preset standard parameters of the target feature type.

[0088] Specifically, when the battery plates and busbars only include straight line features, the preset target feature type is a standard straight line, where a standard straight line can be a connecting line between any two points in a two-dimensional plane. This embodiment compares the characteristic detection parameters of the straight lines with the standard straight lines to obtain the straightness and parallelism of each straight line, and uses the straightness and parallelism as the detected error. The characteristic detection parameters of the straight lines include the number of straight lines included in the two-dimensional detection image and the size of the straight lines in the two-dimensional detection image. Therefore, in this embodiment, this step ends only when all straight lines have been compared.

[0089] It is understood that when the feature detection parameters of a line are compared with a standard line, the normal vector of the line to be compared is consistent with the normal vector of the standard line. For example, if the normal vector of the line to be compared is located in the x-axis direction of the plane coordinate system, then the normal vector of the standard line is also located in the x-axis direction of the plane coordinate system.

[0090] Similarly, when the battery plates and busbars also include circular line features, the preset target feature types are standard lines and standard circles. The standard line comparison process is the same as described above and is not detailed here. Similarly, this embodiment compares the circle feature detection parameters with the standard circle to obtain the roundness of each circle, as well as the coaxiality and concentricity of the comparison circle with the standard circle. The roundness, coaxiality, and concentricity are then compared with the straightness and parallelism detected by the line feature detection as the detected error.

[0091] Step S3121b: Obtain the detection result of the battery component size according to the detection error of the target feature type and the preset error range value.

[0092] Specifically, when the detection error of the target feature type is greater than the preset error range value, an unqualified test result can be output; and when the detection error of the target feature type is less than the preset error range value, a qualified test result can be output, which is conducive to the rapid screening and sorting of batteries and the elimination of unqualified batteries.

[0093] In one embodiment, the method for detecting the size of a battery component further includes sending the detection result to a display device to enable a user to monitor the detection result in real time.

[0094] In one embodiment, Figure 6 As shown, a method for detecting the size of battery components is provided. The above-mentioned step S3111 also includes step S700 and step S800. At this time, step S3111 includes step S3111a.

[0095] Step S700: performing image preprocessing on the two-dimensional detection image and generating a preprocessed image.

[0096] Specifically, image preprocessing includes image enhancement, image smoothing, image sharpening, and image denoising. Image enhancement, which can involve a distortion process, enhances useful information within an image. Its purpose is to improve the visual quality of the image, specifically for a given image application. Image smoothing is an image processing method used to highlight large image regions, low-frequency components, or the main trunk, or to suppress image noise and interfering high-frequency components. The goal is to achieve a smooth and gradual change in image brightness, reduce sudden gradients, and improve image quality. Image smoothing often blurs image boundaries and contours. To mitigate these adverse effects, image sharpening techniques are used to sharpen image edges. Image denoising is the process of reducing noise in digital images. Real-world digital images are often affected by interference from the imaging device and external environmental noise during digitization and transmission, resulting in what are known as noisy images. It should be noted that the image enhancement, image smoothing, image sharpening and image denoising in the image preprocessing in this step do not necessarily need to be performed in sequence, nor do they all need to be performed. One or more of the image enhancement, image smoothing, image sharpening and image denoising programs can be selected according to actual conditions. Technical personnel in this field can make a selection based on the imaging effect of the two-dimensional detection image or based on a preset threshold.

[0097] Step S800 : performing edge extraction on the pre-processed image and generating an edge-extracted image of the battery component.

[0098] Edge extraction refers to the processing of image contours in digital image processing. It is used to extract useful and key information from two-dimensional detection images to prevent omissions.

[0099] Step S3111a: performing shape and position feature detection on the edge extraction image of the battery component, and generating shape and position feature detection parameters of the battery component.

[0100] In this embodiment, a clear two-dimensional detection image is obtained by preprocessing and edge extraction of the image, which is beneficial to the recognition and detection of shape and position features and improves the detection accuracy.

[0101] In one embodiment, Figure 7 As shown, a method for detecting the size of a battery component is provided, including step S100, step S200, step S400, step S700, step S800, step S3111a, step S500, step S600, step S3121a and step S3121b.

[0102] Step S100 , obtaining a digital image signal set of a battery component, where the battery component includes a plate and a busbar.

[0103] Step S200 : Modeling is performed based on the digital image signal set to obtain a three-dimensional image of the battery component.

[0104] Step 400 : Acquire a two-dimensional detection image of a target detection component in the battery based on the three-dimensional image. The target detection component is one of a plate and a busbar.

[0105] Step S700: performing image preprocessing on the two-dimensional detection image and generating a preprocessed image.

[0106] Step S800 : performing edge extraction on the pre-processed image and generating an edge-extracted image of the battery component.

[0107] Step S3111a: performing shape and position feature detection on the edge extraction image of the battery component, and generating shape and position feature detection parameters of the battery component.

[0108] Step S500: Obtain the battery model.

[0109] Step S600: determining a corresponding target feature type according to the battery model, where the target feature type includes at least one of a straight line feature and a circle feature.

[0110] Step S3121a: Obtain a detection error of the target feature type according to the feature detection parameters of the target feature type and preset standard parameters of the target feature type.

[0111] Step S3121b: Obtain the detection result of the battery component size according to the detection error of the target feature type and the preset error range value.

[0112] The battery component size detection method provided in this embodiment is related to the fields of battery manufacturing, acceptance, accident analysis, etc., so as to realize automatic measurement of the sizes of internal plates and busbars of batteries of different brands.

[0113] It should be understood that although Figure 1-Figure 7 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 1-Figure 7 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The order of execution of these steps or stages is not necessarily one by one, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0114] In one embodiment, Figure 8As shown, a device 100 for detecting the size of a battery component is provided. The device 100 for detecting the size of a battery component includes: a signal acquisition module 110 , a three-dimensional modeling module 120 , and a detection result module 130 .

[0115] The signal acquisition module 110 is used to obtain a digital image signal set of the battery component, which includes a plate and a busbar; the three-dimensional modeling module 120 is used to perform modeling based on the digital image signal set to obtain a three-dimensional image of the battery component; and the detection result module 130 is used to obtain a detection result of the battery component size based on the three-dimensional image of the battery component.

[0116] For the specific definition of the detection and control device for the size of battery components, please refer to the definition of the detection method for the size of battery components mentioned above, which will not be repeated here. The various modules in the above-mentioned detection device for the size of battery components can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0117] In one embodiment, Figure 9 As shown, a device 200 for detecting the size of a battery component is provided, which includes an image acquisition card 210 and a processor 220 .

[0118] The image acquisition card 210 is used to acquire an analog image signal set of the battery component and generate a digital image signal set based on the analog image signal set. The processor 220 is connected to the image acquisition card 210 and is used to acquire a digital image signal set of the battery component, which includes a plate and a busbar. The processor 220 is used to perform modeling based on the digital image signal set to acquire a three-dimensional image of the battery component. The detection result of the battery component size is obtained based on the digital image signal.

[0119] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0120] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0121] In one embodiment, a computer program product is provided, including a computer program, which implements the steps of the above method embodiments when executed by a processor.

[0122] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0123] In one embodiment, Figure 10 As shown, a battery component size detection system 300 is provided. The battery component size detection system 300 includes an imaging device 310 and the battery component size detection apparatus 200 described above.

[0124] In one embodiment, the battery component size detection system 300 further includes a light source, a communication port provided by the battery component size detection device 200, and a display device, wherein the display device is also provided with a receiving port. The battery component size detection device 200 is further configured to transmit the detection results to the receiving port of the display device, so that the detection results can be displayed on the display device, facilitating real-time monitoring by the user.

[0125] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0126] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for detecting the size of battery components, characterized in that: include: Acquire a digital image signal set of a battery component, wherein the battery component includes a plate and a busbar; Performing modeling based on the digital image signal set to obtain a three-dimensional image of the battery component; Acquiring a two-dimensional detection image of a target detection component in the battery based on the three-dimensional image, comprising: acquiring a plurality of image points located at a same preset height in the three-dimensional image, and generating the two-dimensional detection image based on the plurality of image points; wherein the electrode plate and the busbar are located at different preset heights, respectively; and the target detection component is one of the electrode plate and the busbar; Obtaining the model of the battery; Determining a corresponding target feature type according to the battery model, where the target feature type includes at least one of a straight line feature and a circle feature; Acquiring form and position feature detection parameters of the battery component based on the two-dimensional detection image, including: acquiring feature detection parameters of the target feature type of the battery component based on the two-dimensional detection image; wherein, image information is extracted using a computer to determine the image features to which points in each two-dimensional detection image belong, and the result of the feature detection is to divide the points on the two-dimensional detection image into different subsets, wherein the subsets belong to isolated points, continuous curves, or continuous regions; Obtaining a detection error of the target feature type according to a feature detection parameter of the target feature type and a preset standard parameter of the target feature type; The detection result of the battery component size is obtained according to the detection error of the target feature type and a preset error range value.

2. The method according to claim 1, characterized in that The digital image signal set includes continuous digital image signals and discontinuous digital image signals.

3. The method according to claim 1, characterized in that The method further comprises: A cross-sectional view of the battery component in the y-axis direction is obtained, and a two-dimensional detection image of the electrode plate is obtained in a top view direction.

4. The method according to claim 2, characterized in that The method further comprises: When the battery plates and busbars only include straight line features, the preset target feature type is a standard straight line, where the standard straight line can be a connecting line between any two points in a two-dimensional plane. The feature detection parameters of the straight line are compared with the standard straight line to obtain the straightness and parallelism of each straight line, and the straightness and parallelism are used as the detected errors.

5. The method according to claim 4, characterized in that The method further comprises: When the battery plates and busbars also include circular line features, the preset target feature types are standard straight lines and standard circles. The feature detection parameters of the circle are compared with the standard circle to obtain the roundness of each circle, as well as the coaxiality and concentricity of the comparison circle and the standard circle. The roundness, coaxiality and concentricity are used together with the straightness and parallelism of the straight line feature detection as the detected errors.

6. The method according to claim 1, characterized in that The method further comprises: When the detection error of the target feature type is greater than the preset error range value, an unqualified detection result is output; when the detection error of the target feature type is less than the preset error range value, a qualified detection result can be output.

7. The method according to claim 5, characterized in that Before acquiring the feature detection parameters of the target feature type of the battery component according to the two-dimensional detection image, the method further includes: Performing image preprocessing on the two-dimensional detection image and generating a preprocessed image; performing edge extraction on the preprocessed image and generating an edge-extracted image of the battery component; The step of acquiring the feature detection parameters of the target feature type of the battery component according to the two-dimensional detection image includes: Perform shape and position feature detection on the edge extraction image of the battery component, and generate shape and position feature detection parameters of the battery component.

8. A device for detecting the size of battery components, characterized in that: include: A signal acquisition module, configured to acquire a digital image signal set of a battery component, wherein the battery component includes a plate and a busbar; a three-dimensional modeling module, configured to perform modeling based on the digital image signal set to obtain a three-dimensional image of the battery component; A detection result module is used to obtain a two-dimensional detection image of the target detection component in the battery based on the three-dimensional image, including: obtaining multiple image points located at the same preset height in the three-dimensional image, and generating the two-dimensional detection image based on the multiple image points; wherein the plate and the bus are respectively located at different preset heights; the target detection component is one of the plate and the bus; obtaining the model of the battery; determining the corresponding target feature type according to the model of the battery, the target feature type including at least one of a straight line feature and a circle feature; obtaining the shape and position feature detection parameters of the battery component according to the two-dimensional detection image, including: determining the shape and position feature detection parameters of the battery component according to the two-dimensional detection image; ... Acquire feature detection parameters of the target feature type of the battery component and acquire the corresponding size detection result of the target detection component based on the two-dimensional detection image; wherein, by using a computer to extract image information, determine the image features to which the points in each two-dimensional detection image belong, and the result of feature detection is to divide the points on the two-dimensional detection image into different subsets, and the subsets belong to isolated points, continuous curves, or continuous areas; obtain the detection error of the target feature type based on the feature detection parameters of the target feature type and the preset standard parameters of the target feature type; obtain the detection result of the size of the battery component based on the detection error of the target feature type and the preset error range value.

9. A device for detecting the size of battery components, characterized in that: include: An image acquisition card, used for acquiring an analog image signal set of a battery component and generating a digital image signal set based on the analog image signal set; a processor connected to the image acquisition card, the processor being configured to acquire a digital image signal set of a battery component, the battery component including a plate and a busbar; and perform modeling based on the digital image signal set to acquire a three-dimensional image of the battery component; Acquiring a two-dimensional detection image of a target detection component in the battery according to the three-dimensional image, including: acquiring a plurality of image points at the same preset height in the three-dimensional image, and generating the two-dimensional detection image according to the plurality of image points; wherein the plate and the bus are respectively located at different preset heights; the target detection component is one of the plate and the bus; acquiring the model of the battery; determining a corresponding target feature type according to the model of the battery, the target feature type including at least one of a straight line feature and a circle feature; acquiring shape and position feature detection parameters of the battery component according to the two-dimensional detection image, including: acquiring the The feature detection parameters of the target feature type of the battery component obtain the size detection result of the corresponding target detection component based on the two-dimensional detection image; wherein, by using a computer to extract image information, the image features to which the points in each two-dimensional detection image belong are determined, and the result of the feature detection is to divide the points on the two-dimensional detection image into different subsets, and the subsets belong to isolated points, continuous curves, or continuous areas; according to the feature detection parameters of the target feature type and the preset standard parameters of the target feature type, the detection error of the target feature type is obtained; according to the detection error of the target feature type and the preset error range value, the detection result of the battery component size is obtained.

10. A battery component size detection system, characterized in that: include: An imaging device, used for capturing an analog image signal set of a battery component to be inspected; The device for detecting the size of a battery component as described in claim 9 above; wherein the image acquisition card in the device for detecting the size of a battery component is connected to the imaging device.

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