Battery case-cover welding system and spot inspection method therefor

Abstract

A battery case-cover welding system and a spot inspection method therefor. The system comprises a calibration block, the calibration block comprising: a battery profiled member, and the battery profiled member comprising a top surface, first side surface connected to the top surface by means of a first edge, a second side surface connected to the top surface by means of a second edge, a third side surface connected to the top surface by means of a third edge, and a fourth side surface connected to the top surface by means of a fourth edge; a first surface feature unit, a second surface feature unit, a third surface feature unit, and a fourth surface feature unit, which are respectively arranged close to the first edge, the second edge, the third edge, and the fourth edge, and are all located on the top surface; and a first side-surface feature unit, a second side-surface feature unit, a third side-surface feature unit, and a fourth side-surface feature unit, which are respectively arranged close to the first edge, the second edge, the third edge, and the fourth edge, and are respectively located on the first side surface, the second side surface, the third side surface, and the fourth side surface. By means of the spot inspection method, whether a failure occurs in the battery case-cover welding system can be determined.

Description

Battery shell cover welding system and inspection method thereof

[0001] Cross-references

[0002] This application refers to Chinese patent application No. 202410192200.5 filed on February 21, 2024, entitled “Battery Shell Cover Welding System and Inspection Method Thereof”, which is incorporated into this application in its entirety by reference. Technical Field

[0003] The present application relates to the field of detection technology, and in particular to a battery shell cover welding system and a spot inspection method for the battery shell cover welding system. Background Art

[0004] In the industry, the battery case cover welding system is a very critical part, which is used to ensure that the quality and performance of the produced batteries meet the standards, thereby ensuring the safety, reliability and performance of the entire manufactured product.

[0005] Determining whether the battery shell cover welding system is working properly is a key link in ensuring the stable and reliable operation of the battery shell cover welding system. By inspecting the battery shell cover welding system, some potential faults can be prevented, and problems can be discovered and resolved in a timely manner when they occur. For the measurement data collected by the battery shell cover welding system, its accuracy can only be guaranteed under the premise that the battery shell cover welding system is working properly, so as to facilitate subsequent quality analysis and improvement. Inspection of the battery shell cover welding system can detect and correct problems that may cause defects or defective products. For example, damaged light sources, dirty lenses, loose cable connections, etc. may affect the normal operation of the system. Recording relevant data and test results when inspecting the battery shell cover welding system helps to establish a historical record and traceability of system maintenance, which is crucial for quality management, troubleshooting and improvement processes, and can provide valuable information and basis.

[0006] How to ensure that the battery shell cover welding system can work stably and reliably and achieve its benefits is a technical problem that needs to be urgently solved in this field.

[0007] Summary of the Invention

[0008] The present application aims to solve at least one of the technical problems in the background technology. To this end, one purpose of the present application is to provide a battery case cover welding system and a spot inspection method for the battery case cover welding system to ensure that the battery case cover welding system can work stably and reliably.

[0009] The embodiment of the first aspect of the present application provides a battery shell cover welding system, comprising: a calibration block, comprising: a battery contour body, the battery contour body comprising a top surface, a first side surface connected to the top surface through a first edge, a second side surface connected to the top surface through a second edge, a third side surface connected to the top surface through a third edge, and a fourth side surface connected to the top surface through a fourth edge; a first surface feature, a second surface feature, a third surface feature, and a fourth surface feature, which are respectively arranged near the first edge, the second edge, the third edge, and the fourth edge, and are all located on the top surface; a first side feature, a second side feature, a third side feature, and a fourth side feature, which are respectively arranged near the first edge, the second edge, the third edge, and the fourth edge, and are respectively located on the first edge, the second edge, the third edge, and the fourth edge. a first side, a second side, a third side and a fourth side; an image acquisition component, comprising a first camera, a second camera, a third camera and a fourth camera, the first camera being located obliquely above the first edge and used to acquire detection images of the first surface feature and the first side feature, the second camera being located obliquely above the second edge and used to acquire detection images of the second surface feature and the second side feature, the third camera being located obliquely above the third edge and used to acquire detection images of the third surface feature and the third side feature, and the fourth camera being located obliquely above the fourth edge and used to acquire detection images of the fourth surface feature and the fourth side feature; and a host computer being configured to determine the hardware inspection result of the image acquisition component according to the detection image acquired by the image acquisition component.

[0010] In the technical solution of the embodiment of the present application, by providing corresponding surface features and side features on the top surface and four side surfaces of the battery profiling body on the calibration block, it is possible to perform spot inspections on the four cameras at specific positions of the image acquisition component. This can determine whether the image acquisition component of the battery shell cover welding system has a fault, thereby promptly discovering and resolving the problem, ensuring the normal operation of the battery shell cover welding system, improving the accuracy and reliability of the measurement, and thus ensuring the accuracy of the hardware spot inspection results. Compared with traditional manual measurement methods, the above embodiment reduces manual intervention, not only increasing the detection speed and thus improving production efficiency, but also reducing the possibility of human error.

[0011] In some embodiments, each of the first, second, third, and fourth surface features includes multiple surface feature portions, the multiple surface feature portions being spaced apart along the extension direction of the corresponding adjacent edges among the first, second, third, and fourth edges, and each of the first, second, third, and fourth side features includes multiple side feature portions, the multiple side feature portions being spaced apart along the extension direction of the corresponding adjacent edges among the first, second, third, and fourth edges. By providing multiple surface feature portions and multiple side feature portions on the top surface and four side surfaces of the battery contoured body, respectively, the image acquisition unit can capture multiple feature portions at a time, thereby effectively improving the efficiency of spot inspections and the accuracy of subsequent determinations of whether the battery case cover welding system is faulty. Furthermore, the multiple feature portions are spaced apart along corresponding adjacent edges, which can reduce interference when determining the individual feature portions from their detection images, thereby enabling more accurate capture of images of the multiple feature portions.

[0012] In some embodiments, each of the plurality of surface features includes a first dimension parallel to the corresponding adjacent edge and the top surface, and a second dimension perpendicular to the corresponding adjacent edge and parallel to the top surface, wherein one of the first and second dimensions of the plurality of surface features varies along the extension direction of the corresponding adjacent edge according to a first preset variation rule, and each of the plurality of side features includes a fourth dimension perpendicular to the corresponding side of the first, second, third, and fourth sides, wherein the fourth dimension of the plurality of side features varies along the extension direction of the corresponding adjacent edge according to a second preset variation rule. The specific dimensions of the surface features and side features on the battery contour provided in this embodiment have a preset variation rule, which eliminates the need to rely on comparison of a single measurement value, makes inspections more robust, and more accurately determines the operating status of the battery case cover welding system, thereby improving the accuracy and reliability of fault diagnosis.

[0013] In some embodiments, each of the plurality of surface features further includes a third dimension perpendicular to the top surface, wherein the other of the first and second dimensions of the plurality of surface features is equal to one another, and the third dimensions of the plurality of surface features are equal to one another, and each of the plurality of side features further includes a fifth dimension parallel to the corresponding side and the corresponding adjacent edge, and a sixth dimension parallel to the corresponding side and perpendicular to the corresponding adjacent edge, wherein the fifth dimensions of the plurality of side features are equal to one another, and the sixth dimensions of the plurality of side features are equal to one another. The above embodiment improves the efficiency of spot inspection by setting the other dimensions of the plurality of surface features / side features to be equal, so that the upper computer does not need to consider these dimensions when determining the hardware spot inspection results.

[0014] In some embodiments, the host computer is configured to determine spot inspection judgment parameters based on the detection images captured by the first camera, the second camera, the third camera, and the fourth camera, and to determine the hardware spot inspection results based on the spot inspection judgment parameters; wherein the spot inspection judgment parameters include the detection value of one of the first and second dimensions of the multiple surface feature portions of each surface feature, and the detection value of the fourth dimension of the multiple side feature portions of each side feature. This embodiment allows the host computer to only obtain the dimensions of the multiple surface feature portions / side feature portions that follow a preset variation pattern based on the detection images captured by the image acquisition unit when determining the hardware spot inspection results, thereby improving the efficiency of spot inspections.

[0015] In some embodiments, determining the hardware inspection result using inspection judgment parameters includes: for each surface feature, determining a first detection variation pattern of the multiple surface feature portions of the surface feature based on the detection value of one of the first and second dimensions of the multiple surface feature portions of the surface feature; for each side feature, determining a second detection variation pattern of the multiple side feature portions of the side feature based on the detection value of the fourth dimension of the multiple side feature portions of the side feature; comparing the first detection variation pattern of each surface feature and the second detection variation pattern of each side feature with the first preset variation pattern of the surface feature and the second preset variation pattern of the side feature, respectively; and determining whether the hardware inspection result passes based on the comparison results. The specific dimensions of the surface feature portions and the side feature portions on the battery contour provided in this embodiment have preset variation patterns, which eliminates reliance on comparison of a single measurement value, makes the inspection more robust, and more accurately determines the operating status of the battery case cover welding system, thereby improving the accuracy and reliability of fault diagnosis.

[0016] In some embodiments, the host computer is further configured to determine the software inspection results of the visual inspection software in the host computer, including: obtaining at least one defect picture of the battery shell cover including at least one welding defect; determining the defect detection results of at least one defect picture through the visual inspection software, and determining the software inspection results of the battery shell cover welding system based on the defect detection results. The above embodiment obtains the defect detection results of the preset defect pictures by utilizing the visual inspection software of the host computer, and based on the defect detection results, the software inspection results of the visual inspection software of the battery shell cover welding system can be judged, thereby timely discovering and solving problems, ensuring the normal operation of the battery shell cover welding system, improving the accuracy and reliability of the measurement, and thus ensuring the accuracy of the detection results. Compared with the traditional manual measurement method, the above embodiment reduces manual intervention, not only improves the detection speed, thereby improving production efficiency, but also reduces the possibility of human error.

[0017] In some embodiments, the defect detection result of at least one defect image includes the detection defect data of the welding defect included in at least one defect image, and determining the software inspection result of the battery shell cover welding system based on the defect detection result includes: obtaining the actual defect data of the welding defect included in at least one defect image; and determining whether the software inspection result passes based on the detection defect data and the actual defect data. The above embodiment obtains the defect detection result of the preset defect image by using the visual inspection software of the host computer, and based on the defect detection result, the software inspection result of the visual inspection software of the battery shell cover welding system can be judged, so as to timely discover and solve problems, ensure the normal operation of the battery shell cover welding system, improve the accuracy and reliability of measurement, and thus ensure the accuracy of the detection results. Compared with the traditional manual measurement method, the above embodiment reduces manual intervention, not only improves the detection speed, thereby improving production efficiency, but also reduces the possibility of human error.

[0018] In some embodiments, the actual defect data includes the actual defect type of the welding defect included in at least one defect image, the detected defect data includes the detected defect type of the welding defect included in at least one defect image, and determining whether the software inspection result passes based on the detected defect data and the actual defect data includes: comparing the actual defect type of the welding defect included in the at least one defect image with the detected defect type; and in response to the actual defect type of the first welding defect included in a first defect image in the at least one defect image being different from the detected defect type, determining that the software inspection result fails. The above embodiment can conveniently and effectively perform software parameter inspections of the battery case cover welding system by specifically comparing the actual defect type of the sample image with the detected defect type.

[0019] In some embodiments, an indicator mark is provided on the top surface to indicate the orientation of the calibration block relative to the image acquisition assembly. This embodiment facilitates determining the orientation of the calibration block, thereby ensuring that the image acquisition assembly sequentially captures images of surface and side features at specific locations for comparison with the theoretical dimensions of the surface and side features at the corresponding locations pre-stored in the system. This ensures the accuracy of the inspection results.

[0020] In some embodiments, the image acquisition assembly further includes a mounting bracket, and the first camera, the second camera, the third camera, and the fourth camera are connected to the mounting bracket and are movable relative to the mounting bracket. The above embodiment can adjust the position of the camera to improve the effectiveness of the captured detection image.

[0021] In some embodiments, the mounting bracket includes a first vertical support portion, a second vertical support portion, a first lateral support portion, a second lateral support portion, and a base plate, wherein the first vertical support portion and the second vertical support portion are fixed to the base plate at a predetermined distance, the first lateral support portion and the second lateral support portion are connected between the first vertical support portion and the second vertical support portion at a predetermined distance, and wherein the first camera, the second camera, the third camera, and the fourth camera are movably connected to the base plate. Such an embodiment can increase the stability of the mounting bracket, thereby improving the effectiveness of the detection images captured by the cameras mounted thereon.

[0022] In some embodiments, the first vertical support portion and the second vertical support portion are arranged in parallel and perpendicular to the base plate, and the first lateral support portion and the second lateral support portion are arranged in parallel and parallel to the base plate. Such an embodiment can increase the stability of the mounting bracket, thereby improving the effectiveness of the detection image captured by the camera mounted thereon.

[0023] In some embodiments, at least one of the first vertical support portion, the second vertical support portion, the first lateral support portion, and the second lateral support portion is provided with a hollow portion. The above embodiment can reduce the weight of the mounting bracket and save costs.

[0024] In some embodiments, the spacing between the plurality of surface features of each surface feature and the spacing between the plurality of side features of each side feature are determined based on the detection accuracy of the first camera, the second camera, the third camera, and the fourth camera. This embodiment can improve the effectiveness of the surface features and side features in the captured detection image.

[0025] An embodiment of the second aspect of the present application provides a spot inspection method for a battery shell cover welding system, which is executed in a battery shell cover welding system according to the present disclosure. The spot inspection method includes: obtaining detection images of a first surface feature, a second surface feature, a third surface feature, a fourth surface feature, a first side feature, a second side feature, a third side feature, and a fourth side feature; determining a spot inspection judgment parameter based on the detection image; determining hardware spot inspection results of the first camera, the second camera, the third camera, and the fourth camera based on the spot inspection judgment parameter; and obtaining at least one defect picture of the battery shell cover including at least one welding defect; determining the defect detection result of at least one defect picture through the system's visual inspection software; and determining the software spot inspection result of the visual inspection software based on the defect detection result.

[0026] The above-mentioned embodiment system obtains the detection images of the surface features and side features on the calibration block, and obtains the inspection judgment parameters based on the detection images to determine the hardware inspection results of the system, and obtains the defect detection results of the preset defect images by using the visual inspection software of the host computer, and judges the software inspection results of the visual inspection software of the battery shell cover welding system based on the defect detection results. In this way, problems can be discovered and solved in a timely manner, ensuring the normal operation of the battery shell cover welding system, improving the accuracy and reliability of the measurement, and thus ensuring the accuracy of the detection results. Compared with the traditional manual measurement method, the above-mentioned embodiment reduces manual intervention, not only improves the detection speed, thereby improving production efficiency, but also reduces the possibility of human error.

[0027] In some embodiments, the first camera and the third camera are arranged relative to each other, and the second camera and the fourth camera are arranged relative to each other, and acquiring detection images of the first surface feature, the second surface feature, the third surface feature, the fourth surface feature, the first side feature, the second side feature, the third side feature, and the fourth side feature includes: moving the first camera and the third camera along the extension direction of the first edge and the extension direction of the third edge, respectively, to acquire detection images of the first surface feature and the first side feature, the third surface feature and the third side feature; and moving the second camera and the fourth camera along the extension direction of the second edge and the extension direction of the fourth edge, respectively, to acquire detection images of the second surface feature and the second side feature, the fourth surface feature and the fourth side feature. The above embodiment improves the efficiency of acquiring detection images while avoiding interference between the cameras during movement by first moving two of the relatively arranged cameras relative to the corresponding edges to acquire detection images, and then moving the other two relatively arranged cameras relative to the corresponding edges to acquire detection images.

[0028] In some embodiments, each of the first, second, third, and fourth surface features includes a plurality of surface feature portions, each of the plurality of surface feature portions including a first dimension parallel to a corresponding adjacent edge of the first, second, third, and fourth edges and the top surface, and a second dimension perpendicular to the corresponding adjacent edge and parallel to the top surface, wherein one of the first and second dimensions of the plurality of surface feature portions varies according to a first preset variation rule, and each of the first, second, third, and fourth side features includes a plurality of side feature portions, each of the plurality of side feature portions including a fourth dimension perpendicular to an oppositely located side of the first, second, third, and fourth sides, wherein the fourth dimensions of the plurality of side feature portions vary according to a second preset variation rule, and wherein the spot inspection determination parameters include a detection value of one of the first and second dimensions of the plurality of surface feature portions of each surface feature and a detection value of the fourth dimension of the plurality of side feature portions of each side feature. The above embodiment enables, when performing hardware spot inspection results, to obtain only the dimensions of the plurality of surface feature portions / side feature portions that comply with the preset variation rule based on the inspection image acquired by the image acquisition unit, thereby improving spot inspection efficiency.

[0029] In some embodiments, determining the hardware spot inspection results of the first, second, third, and fourth cameras based on the spot inspection judgment parameters includes: for each surface feature, determining a first detection variation pattern of the multiple surface feature portions of the surface feature based on the detection value of one of the first and second dimensions of the multiple surface feature portions of the surface feature; for each side feature, determining a second detection variation pattern of the multiple side feature portions of the side feature based on the detection value of the fourth dimension of the multiple side feature portions of the side feature; comparing the first detection variation pattern of each surface feature and the second detection variation pattern of each side feature with the first preset variation pattern of the surface feature and the second preset variation pattern of the side feature, respectively; and determining whether the hardware spot inspection result passes based on the comparison results. The specific dimensions of the surface features and side features on the battery contour provided in this embodiment have preset variation patterns, which eliminates reliance on comparison of a single measurement value, makes the inspection more robust, and more accurately determines the operating status of the battery case cover welding system, thereby improving the accuracy and reliability of fault diagnosis.

[0030] In some embodiments, the defect detection result of at least one defect image includes the detection defect data of the welding defect included in at least one defect image, and determining the software inspection result of the visual inspection software based on the defect detection result includes: obtaining the actual defect data of the welding defect included in at least one defect image; and determining whether the software inspection result passes based on the detection defect data and the actual defect data. The above embodiment obtains the defect detection result of the preset defect image by using the visual inspection software of the host computer, and based on the defect detection result, the software inspection result of the visual inspection software of the battery shell cover welding system can be judged, so as to timely discover and solve problems, ensure the normal operation of the battery shell cover welding system, improve the accuracy and reliability of measurement, and thus ensure the accuracy of the detection results. Compared with the traditional manual measurement method, the above embodiment reduces manual intervention, not only improves the detection speed, thereby improving production efficiency, but also reduces the possibility of human error.

[0031] In some embodiments, the actual defect data includes the actual defect type of the welding defect included in at least one defect image, the detected defect data includes the detected defect type of the welding defect included in at least one defect image, and determining whether the software inspection result passes based on the detected defect data and the actual defect data includes: comparing the actual defect type of the welding defect included in the at least one defect image with the detected defect type; and in response to the actual defect type of the first welding defect included in a first defect image in the at least one defect image being different from the detected defect type, determining that the software inspection result fails. The above embodiment can conveniently and effectively perform software parameter inspections of the battery case cover welding system by specifically comparing the actual defect type of the sample image with the detected defect type.

[0032] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the multiple drawings represent the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments disclosed in the present application and should not be regarded as limiting the scope of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on the drawings without paying creative work.

[0034] FIG1 is a schematic diagram of a battery case cover welding system according to some embodiments of the present application;

[0035] FIG2 is a front view schematic diagram of the relative positions of a camera and a calibration block in some embodiments of the present application;

[0036] FIG3 is a perspective view of a calibration block according to some embodiments of the present application;

[0037] FIG4 is a front view of a top surface of a calibration block according to some embodiments of the present application;

[0038] FIG5 is an enlarged view of a portion of the top surface of the calibration block of FIG4 ;

[0039] FIG6 is a front view of a second side of a calibration block according to some embodiments of the present application;

[0040] FIG7 is a front view of a first side of a calibration block according to some embodiments of the present application;

[0041] FIG8 is a flow chart of a spot inspection method for a battery case cover welding system according to some embodiments of the present application;

[0042] FIG9 is a schematic diagram of a first camera and a third camera scanning relative to a first edge and a third edge, respectively, according to some embodiments of the present application;

[0043] FIG10 is a schematic diagram of the second camera and the fourth camera scanning relative to the second edge and the fourth edge respectively in some embodiments of the present application.

[0044] Description of reference numerals:

[0045] Battery case cover welding system 1000;

[0046] Image acquisition assembly 100; first camera 110; second camera 120; third camera 130; fourth camera 140; mounting bracket 150; first vertical support portion 151; second vertical support portion 152; first lateral support portion 153; hollow portion 1531; second lateral support portion 154; bottom plate 155; guide rail 1551;

[0047] Calibration block 500; battery contour 510; top surface 511; first edge 511-1; first side 512, second edge 511-2; second side 513; third edge 511-3; fourth edge 511-4; first surface feature 521; second surface feature 522; first surface feature 5211; second surface feature 5212; third surface feature 5213; fourth surface feature 5221; third surface feature 523; fourth surface feature 524; fifth surface feature 5222; sixth surface feature 5223; first dimension 522X of the sixth surface feature; A second dimension 522Y of the sixth surface feature portion; a seventh surface feature portion 5231; an eighth surface feature portion 5232; a ninth surface feature portion 5233; a tenth surface feature portion 5241; an eleventh surface feature portion 5242; a twelfth surface feature portion 5243; a first side feature 531; a second side feature 532; a first side feature portion 5311; a second side feature portion 5312; a third side feature portion 5313; a fourth side feature portion 5321; a fifth side feature portion 5322; a sixth side feature portion 5323; a fourth dimension 532Z of the sixth side feature portion; and an indicator mark 540. DETAILED DESCRIPTION

[0048] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0050] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0051] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0052] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0053] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0054] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0055] In the description of the embodiments of the present application, unless otherwise expressly specified or limited, technical terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.

[0056] Currently, judging from the development of the market situation, the application of power batteries is becoming more and more extensive. As the application fields of power batteries continue to expand, their market demand is also constantly increasing.

[0057] With the development of modern industry, battery case cover welding systems are becoming increasingly important in the market. They play a vital role in various industries, monitoring and ensuring product quality, safety, and performance, while also playing a key role in production efficiency and cost control. For example, in the manufacturing industry, battery case cover welding systems can monitor product size, shape, appearance, and other characteristics in real time on the production line through automated, precise measurement and analysis, ensuring that the product meets the expected quality level. This not only improves product consistency and stability, but also enhances the company's competitiveness in the market. Battery case cover welding systems are not only used in energy storage power systems such as hydropower, thermal power, wind power, and solar power stations, but are also widely used in electric vehicles such as electric bicycles, electric motorcycles, and electric vehicles, as well as in military equipment and aerospace, among other fields.

[0058] In actual production activities, the battery shell cover welding system may produce various faults, which further lead to defects or defective products. For example, a damaged light source, a dirty lens, a loose cable connection, etc. may affect the normal operation of the battery shell cover welding system. At this time, judging whether the battery shell cover welding system is working properly is a key link to ensure the stable and reliable operation of the battery shell cover welding system. By inspecting the battery shell cover welding system, some potential faults can be prevented, and problems can be discovered and resolved in time when they occur. For the measurement data collected by the battery shell cover welding system, its accuracy can only be guaranteed under the premise that the battery shell cover welding system is working properly, so as to facilitate subsequent quality analysis and improvement. The current technology is to manually inspect the battery shell cover welding system, but this method has a certain degree of human subjectivity, and the inspection accuracy is not guaranteed.

[0059] Based on the above-mentioned technical problems discovered, a battery shell cover welding system 1000 and a spot inspection method 700 of the battery shell cover welding system 1000 are provided, which can accurately and effectively determine whether there is a fault in the battery shell cover welding system 1000 to ensure that the battery shell cover welding system 1000 can work stably and reliably.

[0060] The embodiment of the present application is applied to a battery shell cover welding system 1000 in the production process of various batteries (for example, power batteries or energy storage batteries, for example, square shell batteries, cylindrical batteries or soft pack batteries, etc.).

[0061] The battery case cover welding system 1000 and the inspection method 700 of the present application are described below with reference to the accompanying drawings.

[0062] Figure 1 is a schematic diagram of a battery case cover welding system 1000 according to some embodiments of the present application; Figure 2 is a front view schematic diagram of the relative positions of a camera and a calibration block 500 according to some embodiments of the present application. The battery case cover welding system 1000 is described in detail below in conjunction with Figures 1 and 2.

[0063] As shown in Figures 1 and 2, a battery case cover welding system 1000 provided in some embodiments of the present application includes: a calibration block 500, including: a battery contour body 510, the battery contour body 510 including a top surface 511, a first side surface 512 connected to the top surface 511 through a first edge 511-1, a second side surface 513 connected to the top surface 511 through a second edge 511-2, a third side surface (for example, a side opposite to the first side surface 512, not shown) connected to the top surface 511 through a third edge 511-3, and a fourth side surface 513 connected to the top surface 511 through a fourth edge 511-2. -4 adjacent to the fourth side (e.g., the side opposite to the second side 513, not shown); the first surface feature 521, the second surface feature 522, the third surface feature 523, and the fourth surface feature 524 are respectively arranged near the first edge 511-1, the second edge 511-2, the third edge 511-3, and the fourth edge 511-4, and are all located on the top surface 511; the first side feature 531, the second side feature 532, the third side feature (e.g., similar to the first side feature, not shown) and the fourth side feature (e.g., similar to the second side feature) , not shown), are respectively arranged close to the first edge 511-1, the second edge 511-2, the third edge 511-3 and the fourth edge 511-4, and are respectively located on the first side 512, the second side 513, the third side and the fourth side; the image acquisition component 100 includes a first camera 110, a second camera 120, a third camera 130 and a fourth camera 140, the first camera 110 is located obliquely above the first edge 511-1 and is used to collect detection images of the first surface feature 521 and the first side feature 531, the second camera 120 is located at the second edge 511-2 is obliquely above and used to collect detection images of the second surface feature 522 and the second side feature 532, the third camera 130 is located obliquely above the third edge 511-3 and used to collect detection images of the third surface feature 523 and the third side feature, and the fourth camera 140 is located obliquely above the fourth edge 511-4 and used to collect detection images of the fourth surface feature 524 and the fourth side feature; and a host computer (not shown) is configured to determine the hardware inspection result of the image acquisition component 100 based on the detection image collected by the image acquisition component 100.

[0064] The top surface 511 refers to the upper surface of the stating block 500 in the placement direction when the image acquisition component is capturing images, that is, the surface opposite to the surface on which it is placed, so that the image acquisition component 100 diagonally above it can capture the surface features thereon.

[0065] The battery profiling body 510 refers to a profiling part that is the same or similar in shape and size to a battery. Since the battery shell cover welding system 1000 is used to detect the welding quality of the battery shell cover, the shape and size of the calibration block 500 are set to be the same or similar in shape and size to the battery, which can improve the accuracy of the battery shell cover welding system 1000 inspection for the battery. In the case where the battery is a rectangular parallelepiped or a cube, the battery profiling body 510 includes: a top surface 511, and a first side surface 512, a second side surface 513, a third side surface, and a fourth side surface that are respectively connected to the four edges of the top surface 511 (i.e., the first edge 511-1, the second edge 511-2, the third edge 511-3, and the fourth edge 511-4). In this case, the first edge 511-1, the second edge 511-2, the third edge 511-3, and the fourth edge 511-4 enclose the top surface 511.

[0066] A first surface feature 521 is provided on the top surface 511 of the battery shaped body 510 near the first edge 511-1, a second surface feature 522 is provided on the top surface 511 of the battery shaped body 510 near the second edge 511-2, a third surface feature 523 is provided on the top surface 511 of the battery shaped body 510 near the third edge 511-3, and a fourth surface feature 524 is provided on the top surface 511 of the battery shaped body 510 near the fourth edge 511-4.

[0067] A first side feature 531 is provided on the first side 512 of the battery shaped body 510 near the first edge 511-1, a second side feature 532 is provided on the second side 513 of the battery shaped body 510 near the second edge 511-2, a third side feature (for example, similar to the first side feature, not shown) is provided on the third side of the battery shaped body 510 near the third edge 511-3, and a fourth side feature (for example, similar to the second side feature, not shown) is provided on the fourth side of the battery shaped body 510 near the fourth edge 511-4.

[0068] As shown in Figure 3 , the surface features and side features on the battery profiling block can be configured as grooves or protrusions, and their cross-sectional shapes can be rectangular, square, circular, etc. For example, they can be obtained using laser lithography or a CNC milling machine. The structures and shapes of the first surface feature 521, the second surface feature 522, the third surface feature 523, the fourth surface feature 524, the first side feature 531, the second side feature 532, the third side feature, and the fourth side feature can be identical, partially identical and partially different, or completely different.

[0069] In this context, "close" can refer to two parts being very close to each other, or to two parts being against or in contact with each other. As shown in FIG3 , second surface feature 522 is disposed close to second edge 511-2, i.e., very close to second edge 511-2. Second side feature 532 is disposed close to second edge 511-2, i.e., one side of second side feature 532 is in contact with second edge 511-2. When second side feature 532 is configured as a groove, a portion of the groove is exposed to top surface 511.

[0070] The specific types of the first camera 110, the second camera 120, the third camera 130, and the fourth camera 140 are not limited. For example, the first camera 110, the second camera 120, the third camera 130, and the fourth camera 140 can be a charge coupled device (CCD) industrial camera or a complementary metal oxide semiconductor (CMOS) industrial camera. For another example, a line scan camera or an area scan camera can be used. The first camera 110, the second camera 120, the third camera 130, and the fourth camera 140 can be the same type of camera or different types of cameras. If the image acquisition component 100 includes a light source, the light source can be provided externally to the camera or integrated with the camera.

[0071] The first camera 110, the second camera 120, the third camera 130, and the fourth camera 140 can be scanned in various ways, with no specific limitation, as long as the dimensional data collected from the calibration block can be used to determine whether the battery case cover welding system 1000 has a fault. Specific scanning methods include, for example, row-by-row or column-by-column scanning, depth scanning, and area scanning.

[0072] In some examples, as shown in FIG. 1 , the image acquisition assembly 100 may further include a mounting bracket 150 , and the first camera 110 , the second camera 120 , the third camera 130 , and the fourth camera 140 are connected to the mounting bracket 150 and are movable relative to the mounting bracket.

[0073] In some examples, as shown in FIG1 , the mounting bracket 150 includes a first vertical support portion 151, a second vertical support portion 152, a first lateral support portion 153, a second lateral support portion 154, and a base plate 155. The first camera 110, the second camera 120, the third camera 130, and the fourth camera 140 are movably connected to the base plate 155. In some examples, a guide rail 1551 is provided on the base plate 155. The first camera 110, the second camera 120, the third camera 130, and the fourth camera 140 can move relative to the mounting bracket 150 along the guide rail 1551. In some examples, the first vertical support portion 151 and the second vertical support portion 152 are arranged parallel to each other and spaced apart. Both are perpendicular to and fixed to the base plate 155. In some examples, the first lateral support portion 153 and the second lateral support portion 154 are arranged parallel to each other and spaced apart between the first vertical support portion 151 and the second vertical support portion 152. The first lateral support portion 153 and the second lateral support portion 154 are also parallel to the base plate 155. In some other embodiments, the mounting bracket may include only one or more than two vertical support portions and / or only one or more than two lateral support portions. Furthermore, the vertical support portions may not be perpendicular to the base plate, nor may the two vertical support portions be parallel to each other. Similarly, the lateral support portions may not be parallel to the base plate, nor may the two lateral support portions be parallel to each other, and the present disclosure is not limited thereto.

[0074] In some examples, at least one of the first vertical support portion 151, the second vertical support portion 152, the first lateral support portion 153, and the second lateral support portion 154 may be provided with a hollow portion to reduce the weight of the mounting bracket. For example, as shown in FIG1 , the first lateral support portion 153 is provided with a hollow portion 1531.

[0075] As shown in Figures 1 and 3, since the first edge 511-1 and the third edge 511-3 are arranged opposite to each other, and the second edge 511-2 and the fourth edge 511-4 are arranged opposite to each other, since the four cameras respectively capture images of the surfaces connected by these edges, correspondingly, the first camera 110 and the third camera 130 are arranged opposite to each other, and the second camera 120 and the fourth camera 140 are arranged opposite to each other.

[0076] When the image acquisition component 100 acquires an image of the calibration block 500, the first camera 110 is located obliquely above the first edge 511-1. For example, as shown in FIG2 , the first camera 110 is located outside the first edge 511-1 (i.e., the calibration block 500) and above the first edge 511-1. Similarly, the second camera 120 is located obliquely above the second edge 511-2, the third camera 130 is located obliquely above the third edge 511-3, and the fourth camera 140 is located obliquely above the fourth edge 511-4, which is the same as the first camera 110 described above and will not be described in detail here. In some embodiments, the camera can move along the corresponding adjacent edge and can rotate around its axis that is consistent with the extension direction of the corresponding adjacent edge (for example, within a certain angle range (for example, a range of about 32° to the left and right) or within a range of 360°), so as to better obtain the detection image of the corresponding surface features and side features.

[0077] By providing corresponding surface features and side features on the top surface 511 and four side surfaces of the battery contour body 510 on the calibration block 500, it is possible to perform spot inspections on the four cameras at specific locations of the image acquisition assembly 100. This allows for determining whether the image acquisition assembly 100 of the battery shell cover welding system 1000 has a fault, thereby promptly discovering and resolving the problem, ensuring the normal operation of the battery shell cover welding system 1000, and improving the accuracy and reliability of the measurement, thereby ensuring the accuracy of the hardware spot inspection results. Compared to traditional manual measurement methods, the above embodiment reduces manual intervention, not only increasing detection speed and thus production efficiency, but also reducing the possibility of human error.

[0078] According to some embodiments of the present application, each of the first surface feature 521, the second surface feature 522, the third surface feature 523, and the fourth surface feature 524 includes a plurality of surface feature portions, and the plurality of surface feature portions are arranged at intervals in the extension direction of the corresponding adjacent edges among the first edge 511-1, the second edge 511-2, the third edge 511-3, and the fourth edge 511-4, and each of the first side feature 531, the second side feature 532, the third side feature, and the fourth side feature includes a plurality of side feature portions, and the plurality of side feature portions are arranged at intervals in the extension direction of the corresponding adjacent edges among the first edge 511-1, the second edge 511-2, the third edge 511-3, and the fourth edge 511-4.

[0079] As shown in Figures 3 to 5, the first surface feature 521 near the first edge 511-1 includes a plurality of surface features, such as a first surface feature 5211, a second surface feature 5212, and a third surface feature 5213. These surface features are spaced apart on the top surface 511 in the direction in which the first edge 511-1 extends. The second surface feature 522 near the second edge 511-2 includes a plurality of surface features, such as a fourth surface feature 5221, a fifth surface feature 5222, and a sixth surface feature 5223. These surface features are spaced apart on the top surface 511 in the direction in which the second edge 511-2 extends. The third surface feature 523 near the third edge 511-3 includes a plurality of surface features, such as a seventh surface feature 5231, an eighth surface feature 5232, and a ninth surface feature 5233. These surface features are spaced apart on the top surface 511 in the direction in which the third edge 511-3 extends. The fourth surface feature 524 near the fourth edge 511 - 4 includes a plurality of surface features, for example, a tenth surface feature 5241 , an eleventh surface feature 5242 , and a twelfth surface feature 5243 . These surface features are spaced apart on the top surface 511 in the extending direction of the fourth edge 511 - 4 .

[0080] As shown in Figures 3, 6, and 7, a first side feature 531 near the first edge 511-1 includes a plurality of side features, such as a first side feature 5311, a second side feature 5312, and a third side feature 5313, which are spaced apart on the first side 512 in the direction in which the first edge 511-1 extends. A second side feature 532 near the second edge 511-2 includes a plurality of side features, such as a fourth side feature 5321, a fifth side feature 5322, and a sixth side feature 5323, which are spaced apart on the second side in the direction in which the second edge 511-2 extends. A third side feature near the third edge 511-3 includes a plurality of side features (not shown), which are spaced apart on the third side in the direction in which the third edge 511-3 extends. A fourth side feature near the fourth edge 511-4 includes a plurality of surface features (not shown), which are spaced apart on the fourth side in the direction in which the fourth edge 511-4 extends.

[0081] The intervals of the above-mentioned interval arrangement may be determined according to the detection accuracy of the corresponding camera.

[0082] By respectively arranging multiple surface feature portions and multiple side feature portions on the top surface 511 and four side surfaces of the battery contoured body 510, and arranging them at intervals along the corresponding adjacent edges, the image acquisition component can not only obtain images of multiple feature portions more accurately but also obtain multiple feature portions at one time, thereby effectively improving the efficiency of spot inspection and the accuracy of subsequent determination of whether the battery shell cover welding system 1000 has a fault.

[0083] Alternatively, the plurality of surface features and the plurality of side features may also be spaced apart on the correspondingly located surfaces and not along the correspondingly adjacent edges.

[0084] According to some embodiments of the present application, each of the multiple surface feature portions includes a first dimension parallel to the corresponding adjacent edge and the top surface and a second dimension perpendicular to the corresponding adjacent edge and parallel to the top surface, wherein one of the first dimension and the second dimension of the multiple surface feature portions changes along the extension direction of the corresponding adjacent edge according to a first preset change rule, and each of the multiple side feature portions includes a fourth dimension perpendicular to the corresponding side among the first side, the second side, the third side and the fourth side, wherein the fourth dimension of the multiple side feature portions changes along the extension direction of the corresponding adjacent edge according to a second preset change rule.

[0085] As shown in Figure 5, taking the sixth surface feature 5223 as an example, the sixth surface feature 5223 includes a first dimension 522X parallel to the second edge 511-2 and the top surface 511, that is, the length dimension, and a second dimension 522Y perpendicular to the second edge 511-2 and parallel to the top surface 511, that is, the width dimension.

[0086] As shown in FIG. 5 , taking the sixth side feature portion as an example, the sixth side feature portion 5323 includes a fourth dimension 532Z perpendicular to the second side surface 513 , ie, a depth dimension.

[0087] If the side feature is a groove, the fourth dimension may be the depth of the side feature relative to the side. Alternatively, if the side feature is a protrusion, the fourth dimension may be the height of the side feature relative to the side.

[0088] The type of the first preset change rule is not limited. For example, the value of one of the first and second dimensions of the plurality of surface features may increase or decrease in equal proportion, change proportionally with a certain slope and intercept (where the slope is not 0), etc. Specifically, for example, the first dimensions of the plurality of surface features disposed near the second edge 511-2 change according to a fixed difference, i.e., the first dimensions of the fourth surface feature 5221, the fifth surface feature 5222, and the sixth surface feature 5223 increase in sequence according to a fixed difference, such as 0.8 millimeters (mm), 1.0 mm, and 1.2 mm, respectively. For another example, the second dimensions of the plurality of surface features change according to a fixed difference, i.e., the second dimensions of the seventh surface feature, the eighth surface feature, and the ninth surface feature increase in sequence according to a fixed difference, such as 0.8 mm, 1.0 mm, and 1.2 mm, respectively.

[0089] The type of the second preset variation pattern is not limited. For example, the fourth dimensions of multiple side features can increase or decrease in equal proportion, change proportionally with a certain slope and intercept (where the slope is not zero), etc. Specifically, for example, the fourth dimensions of the fourth side feature 5321, the fifth side feature 5322, and the sixth side feature 5323 can change according to a fixed difference. That is, the fourth dimensions of the fourth side feature 5321, the fifth side feature 5322, and the sixth side feature 5323 increase in sequence according to a fixed difference, such as 0.02 mm, 0.06 mm, and 0.10 mm, respectively. The variation pattern of the first dimension, the second dimension, and the fourth dimension can be set as needed.

[0090] During the actual use of industrial cameras, certain data offsets will occur. This type of offset can be divided into two types: linear offset and nonlinear offset. Linear offset means that the measured data and the actual value have the same linear characteristics (for example, the measured change law of the measurement data of the first size of multiple surface features is consistent with the actual change law of the actual data). The linear offset can be corrected by compensation, that is, a fixed value. The linear offset is acceptable in actual production. Therefore, after setting the preset change law, it is possible to determine whether the battery shell cover welding system 1000 has a fault by the change law of the actual data and the change law of the measured data.

[0091] The specific dimensions of the surface feature parts and side feature parts on the battery contoured body 510 provided in this embodiment have a preset variation pattern, which no longer requires reliance on the comparison of a single measurement value, making the inspection more robust and enabling more accurate judgment of the working status of the battery shell cover welding system 1000, thereby improving the accuracy and reliability of fault diagnosis.

[0092] According to some embodiments of the present application, each of the multiple surface features further includes a third dimension perpendicular to the top surface, wherein the other of the first dimension and the second dimension of the multiple surface features is equal to each other, and the third dimensions of the multiple surface features are equal to each other, and each of the multiple side features further includes a fifth dimension parallel to the corresponding side and the corresponding adjacent edge and a sixth dimension parallel to the corresponding side and perpendicular to the corresponding adjacent edge, wherein the fifth dimensions of the multiple side features are equal to each other, and the sixth dimensions of the multiple side features are equal to each other.

[0093] Regarding the third dimension, taking the sixth surface feature portion as an example, the sixth surface feature portion also includes a third dimension perpendicular to the top surface 511 , and its characteristics are the same as the fourth dimension except for the different perpendicular planes, and are not shown here again.

[0094] As for the fifth and sixth dimensions, taking the sixth side feature portion as an example, the sixth side feature portion also includes a fifth dimension parallel to the second side 513 and the second edge 511-2, and a sixth dimension parallel to the second side 513 and perpendicular to the second edge 511-2. Except for the different parallel surfaces, its characteristics are the same as the first and second dimensions and are not shown here.

[0095] Taking the second surface feature 522 as an example, the first dimensions of the fourth surface feature portion 5221, the fifth surface feature portion 5222, and the sixth surface feature portion 5223 increase in sequence according to a fixed difference, for example, 0.8 mm, 1.0 mm, and 1.2 mm, respectively, while the second dimensions of the fourth surface feature portion 5221, the fifth surface feature portion 5222, and the sixth surface feature portion 5223 are equal to each other, for example, 1 mm, etc., and the third dimensions of the fourth surface feature portion 5221, the fifth surface feature portion 5222, and the sixth surface feature portion 5223 are equal to each other, for example, 0.2 mm, etc.

[0096] Taking the features of the second side 513 as an example, the fourth dimensions of the fourth side feature portion 5321, the fifth side feature portion 5322, and the sixth side feature portion 5323 increase in sequence according to a fixed difference, for example, 0.02 mm, 0.06 mm, and 0.10 mm, respectively, while the fifth dimensions of the fourth side feature portion 5321, the fifth side feature portion 5322, and the sixth side feature portion 5323 are equal to each other, and the sixth dimensions of the fourth side feature portion 5321, the fifth side feature portion 5322, and the sixth side feature portion 5323 are equal to each other.

[0097] In the above embodiment, other dimensions of the plurality of surface feature parts / side feature parts are set to be equal, so that when the host computer determines the hardware inspection result, these dimensions that remain equal do not need to be considered, thereby improving the efficiency of the inspection.

[0098] According to some embodiments of the present application, the host computer is configured to: determine the spot inspection judgment parameters based on the detection images captured by the first camera 110, the second camera 120, the third camera 130 and the fourth camera 140, and determine the hardware spot inspection results based on the spot inspection judgment parameters; wherein the spot inspection judgment parameters include the detection value of one of the first size and the second size of the multiple surface feature parts of each surface feature and the detection value of the fourth size of the multiple side feature parts of each side feature.

[0099] That is, for example, using the second camera 120 as an example, the host computer determines spot inspection parameters based on the inspection image captured by the second camera 120. The spot inspection parameters include the detection values ​​of the first dimension of the plurality of surface features of the second surface feature 522 that varies according to a first preset variation pattern, and the detection values ​​of the fourth dimension of the plurality of side features of the second side feature 532 that varies according to a second preset variation pattern. The host computer then determines the hardware spot inspection result based on the spot inspection parameters. For example, the hardware spot inspection result is determined based on the spot inspection parameters and the actual values ​​of the first dimension of the plurality of surface features of the second surface feature 522 and the actual values ​​of the fourth dimension of the plurality of side features of the second side feature 532. For example, the detection values ​​of the first dimension of the plurality of surface features of the second surface feature 522 and the detection values ​​of the fourth dimension of the plurality of side features of the second side feature 532 are compared with the actual values ​​of the two, and the hardware spot inspection result is determined based on the comparison results (e.g., whether they are consistent, or whether they fall within the tolerance or standard deviation of the corresponding actual values). Alternatively, the hardware inspection result may be determined based on whether the detected values ​​of the first dimension of the plurality of surface features of the second surface feature 522 and the detected values ​​of the fourth dimension of the plurality of side features of the second side feature 532 respectively satisfy a first preset variation rule and a second preset variation rule. Alternatively, the hardware inspection result may be determined based on whether the detected values ​​of the first dimension of the plurality of surface features of the second surface feature 522 and the detected values ​​of the second dimension (i.e., area) and the detected values ​​of the fourth dimension of the plurality of side features of the second side feature 532 respectively satisfy a first preset variation rule and a second preset variation rule (e.g., whether the variation rule of the product of the detected value / the detected value is consistent with or similar to the preset variation rule). Additionally, the inspection judgment parameters may further include the detected value of the third dimension of the plurality of surface features of each surface feature and at least one of the detected values ​​of the sixth dimension and the seventh dimension of the plurality of side features of each side feature.

[0100] The above embodiment enables the host computer to only obtain the dimensions of multiple surface features / side features according to a preset variation rule based on the detection image obtained by the image acquisition unit when determining the hardware inspection result, thereby improving the efficiency of the inspection.

[0101] According to some embodiments of the present application, the host computer is also configured to determine the software inspection results of the visual inspection software in the host computer, including: obtaining at least one defect picture of the battery shell cover including at least one welding defect; determining the defect detection results of at least one defect picture through the visual inspection software, and determining the software inspection results of the battery shell cover welding system based on the defect detection results.

[0102] Defect images can be collected during the actual inspection of workpieces using the battery case cover welding system 1000, or they can be obtained from a sample image library, where the sample image library is collected from the operation history of the battery case cover welding system 1000. Specifically, the sample images can be collected through manual verification and classification by the quality inspection department, or they can be automatically identified and stored by the battery case cover welding system 1000.

[0103] In addition, the defect detection results of this embodiment can include information on the type of welding defects, information on the number of welding defects, descriptions of the shape of welding defects, optical information of welding defects (such as color, texture), and confidence levels of welding defect results. The software inspection results can be determined based on the above-mentioned defect detection results and the actual defect conditions of the defect images. For example, the two are compared, and the software inspection results are determined based on the comparison results (for example, whether they are consistent, or whether the difference or ratio is within a preset threshold range). Alternatively, the software inspection results can be determined based on whether the above-mentioned defect detection results meet specific requirements.

[0104] The visual inspection software is a functional module in the battery case cover welding system 1000 for determining whether the image captured by the image acquisition component 100 contains defects.

[0105] The sample image of this embodiment has at least one type of welding defect, which can be defects such as cold welding and broken welding of the battery shell cover detected by the battery shell cover welding system 1000.

[0106] The above embodiment utilizes the visual inspection software of the host computer to obtain the defect detection results of the preset defect images. Based on the defect detection results, the software inspection results of the visual inspection software of the battery case cover welding system 1000 can be determined, thereby promptly discovering and resolving problems, ensuring the normal operation of the battery case cover welding system 1000, improving the accuracy and reliability of the measurement, and thus ensuring the accuracy of the inspection results. Compared with traditional manual measurement methods, the above embodiment reduces human intervention, not only increasing the inspection speed and thus improving production efficiency, but also reducing the possibility of human error.

[0107] An indicator mark is also provided on the top surface to indicate the placement direction of the calibration block relative to the image acquisition component.

[0108] As shown in Figures 3 and 4 , top surface 511 is provided with an indicator mark to indicate the feeding direction. Specifically, the end with the indicator mark faces the camera so that the end facing the camera enters the camera's scanning range first. This allows the camera to scan the various surface features and side features in a predetermined order. The indicator mark can be any shape, for example, a shape formed by an arrangement of several circular features as shown in Figure 3, or a linear notch.

[0109] The above embodiment ensures that the image acquisition component 100 sequentially captures images of surface features and side features at specific locations for comparison with the theoretical dimensions of the surface features and side features at the corresponding locations pre-stored in the system, thereby ensuring the accuracy of the inspection results.

[0110] As shown in Figure 8, an embodiment of the second aspect of the present application provides a spot inspection method 700 of a battery shell cover welding system 1000 (as shown in Figures 1 to 7). The spot inspection method 700 is executed in the battery shell cover welding system 1000 according to the present disclosure, and the spot inspection method 700 includes: step S701, obtaining detection images of the first surface feature, the second surface feature, the third surface feature, the fourth surface feature, the first side feature, the second side feature, the third side feature and the fourth side feature; step S702, determining the spot inspection judgment parameter based on the detection image; step S703, determining the hardware spot inspection results of the first camera, the second camera, the third camera and the fourth camera based on the spot inspection judgment parameter; and step S704, obtaining at least one defect picture of the battery shell cover including at least one welding defect; step S705, determining the defect detection result of at least one defect picture through the visual inspection software of the battery shell cover welding system; and step S706, determining the software spot inspection result of the visual inspection software based on the defect detection result.

[0111] The above method can be executed at the host computer of the battery case cover welding system 1000.

[0112] The spot inspection determination parameters include a detection value of one of a first size and a second size of the plurality of surface feature portions of each surface feature and a detection value of a fourth size of the plurality of side feature portions of each side feature.

[0113] For example, using the second camera 120 as an example, the host computer determines spot inspection judgment parameters based on the inspection image captured by the second camera 120. The spot inspection judgment parameters include the detection values ​​of the first dimension of the plurality of surface features of the second surface feature 522 that varies according to a first preset variation pattern, and the detection values ​​of the fourth dimension of the plurality of side features of the second side feature 532 that varies according to a second preset variation pattern. The host computer then determines the hardware spot inspection result based on the spot inspection judgment parameters. For example, the hardware spot inspection result is determined based on the spot inspection judgment parameters and the actual values ​​of the first dimension of the plurality of surface features of the second surface feature 522 and the actual values ​​of the fourth dimension of the plurality of side features of the second side feature 532. For example, the detection values ​​of the first dimension of the plurality of surface features of the second surface feature 522 and the detection values ​​of the fourth dimension of the plurality of side features of the second side feature 532 are compared with the actual values ​​of the two, and the hardware spot inspection result is determined based on the comparison results (e.g., whether they are consistent, or whether they fall within the tolerance or standard deviation of the corresponding actual values). Alternatively, the hardware inspection result may be determined based on whether the detected values ​​of the first dimension of the plurality of surface features of the second surface feature 522 and the detected values ​​of the fourth dimension of the plurality of side features of the second side feature 532 respectively satisfy a first preset variation rule and a second preset variation rule. Alternatively, the hardware inspection result may be determined based on whether the detected values ​​of the first dimension of the plurality of surface features of the second surface feature 522 and the detected values ​​of the second dimension (i.e., area) and the detected values ​​of the fourth dimension of the plurality of side features of the second side feature 532 respectively satisfy a first preset variation rule and a second preset variation rule (e.g., whether the variation rule of the product of the detected value / the detected value is consistent with or similar to the preset variation rule). Additionally, the inspection judgment parameters may further include the detected value of the third dimension of the plurality of surface features of each surface feature and at least one of the detected values ​​of the sixth dimension and the seventh dimension of the plurality of side features of each side feature.

[0114] Additionally, the spot inspection judgment parameter may further include at least one of a detection value of a third dimension of the plurality of surface feature portions of each surface feature and a detection value of a sixth dimension and a seventh dimension of the plurality of side feature portions of each side feature.

[0115] Defect images can be collected during the actual inspection of workpieces using the battery case cover welding system 1000, or they can be obtained from a sample image library, where the sample image library is collected from the operation history of the battery case cover welding system 1000. Specifically, the sample images can be collected through manual verification and classification by the quality inspection department, or they can be automatically identified and stored by the battery case cover welding system 1000.

[0116] In addition, the defect detection results of this embodiment may include information on the type of welding defects, information on the number of welding defects, and descriptions of the shape of welding defects, optical information of welding defects (such as color, texture), and confidence levels of welding defect results. The sample image of this embodiment may have at least one type of welding defect, such as a cold weld or broken weld, detected by the battery shell cover welding system 1000. The software inspection results may be determined based on the above-mentioned defect detection results and the actual defect conditions of the defect image. For example, the two are compared, and the software inspection results are determined based on the comparison results (for example, whether they are consistent, or the difference or ratio is within a preset threshold range). Alternatively, the software inspection results may be determined based on whether the above-mentioned defect detection results meet specific requirements.

[0117] The visual inspection software is a functional module in the battery case cover welding system 1000 for determining whether the image captured by the image acquisition component 100 contains defects.

[0118] The above-mentioned embodiment system obtains the detection images of the surface features and side features on the calibration block 500, and obtains the inspection judgment parameters based on the detection images to determine the hardware inspection results of the system, and obtains the defect detection results of the preset defect images by using the visual inspection software of the host computer, and judges the software inspection results of the visual inspection software of the battery shell cover welding system 1000 based on the defect detection results. In this way, problems can be discovered and solved in a timely manner, ensuring the normal operation of the battery shell cover welding system 1000, improving the accuracy and reliability of the measurement, and thus ensuring the accuracy of the detection results. Compared with the traditional manual measurement method, the above-mentioned embodiment reduces manual intervention, not only improves the detection speed, thereby improving production efficiency, but also reduces the possibility of human error.

[0119] According to some embodiments of the present application, the first camera 110 and the third camera 130 are arranged relative to each other, and the second camera 120 and the fourth camera 140 are arranged relative to each other, and step S701, obtaining detection images of the first surface feature, the second surface feature, the third surface feature, the fourth surface feature, the first side feature, the second side feature, the third side feature and the fourth side feature includes: moving the first camera and the third camera respectively relative to the extension direction of the first edge and the extension direction of the third edge to collect detection images of the first surface feature and the first side feature, the third surface feature and the third side feature; and moving the second camera and the fourth camera respectively relative to the extension direction of the second edge and the extension direction of the fourth edge to collect detection images of the second surface feature and the second side feature, the fourth surface feature and the fourth side feature.

[0120] As shown in FIG9 , the first camera 110 and the third camera 130 are moved (for example, simultaneously or sequentially, and the movement directions of the two cameras can be the same or opposite) relative to the extension direction of the first edge 511-1 and the extension direction of the third edge 511-3, respectively, to collect detection images of the first surface feature and the first side feature, the third surface feature and the third side feature. In this article, "movement" refers to relative movement, that is, it can be camera movement or movement of the calibration block 500. The above-mentioned movement of the first camera 110 and the third camera 130 relative to the extension direction of the first edge 511-1 and the extension direction of the third edge 511-3, respectively, can refer to the first camera 110 and the third camera 130 moving along the extension direction L1 of the first edge 511-1 and the extension direction L3 of the third edge 511-3, respectively, or it can refer to the first camera 110 and the third camera 130 being stationary, while the calibration block 500 moves along the extension direction of the first edge 511-1 and the extension direction of the third edge 511-3.

[0121] Next, as shown in FIG10 , the second camera 120 and the fourth camera 140 are moved (for example, simultaneously or sequentially, and the movement directions of the two cameras can be the same or opposite) relative to the extension direction of the second edge 511-2 and the extension direction of the fourth edge 511-4, respectively, to collect detection images of the second surface feature and the second side feature, the fourth surface feature and the fourth side feature. In this article, "movement" refers to relative movement, that is, it can be camera movement or movement of the calibration block. The above-mentioned movement of the second camera 120 and the fourth camera 140 relative to the extension direction of the second edge 511-2 and the extension direction of the fourth edge 511-4, respectively, can refer to the second camera 120 and the fourth camera 140 moving along the extension direction L2 of the second edge 511-2 and the extension direction L4 of the fourth edge 511-4, respectively, or it can refer to the second camera 120 and the fourth camera 140 being stationary, while the calibration block 500 moves along the extension direction of the second edge 511-2 and the extension direction of the fourth edge 511-4.

[0122] The above embodiment first moves two of the relatively arranged cameras relative to the corresponding edges to obtain detection images, and then moves the other two relatively arranged cameras relative to the corresponding edges to obtain detection images, thereby improving the efficiency of collecting detection images while avoiding interference between the cameras during movement.

[0123] According to some embodiments of the present application, each of the first, second, third, and fourth surface features includes a plurality of surface feature portions, each of the plurality of surface feature portions includes a first dimension parallel to a correspondingly adjacent edge among the first, second, third, and fourth edges and the top surface, and a second dimension perpendicular to the correspondingly adjacent edge and parallel to the top surface, wherein one of the first and second dimensions of the plurality of surface feature portions changes according to a first preset change rule, and each of the first, second, third, and fourth side features includes a plurality of side feature portions, each of the plurality of side feature portions includes a fourth dimension perpendicular to a relatively located side among the first, second, third, and fourth sides, wherein the fourth dimensions of the plurality of side feature portions change according to a second preset change rule, and wherein the inspection judgment parameter includes a detection value of one of the first and second dimensions of the plurality of surface feature portions of each surface feature and a detection value of the fourth dimension of the plurality of side feature portions of each side feature.

[0124] For example, using the second camera 120 as an example, the host computer determines spot inspection judgment parameters based on the inspection image captured by the second camera 120. The spot inspection judgment parameters include the detection values ​​of the first dimension of the multiple surface features of the second surface feature 522 that varies according to a first preset variation pattern, and the detection values ​​of the fourth dimension of the multiple side features of the second side feature 532 that varies according to a second preset variation pattern. The hardware spot inspection result can then be determined based on whether the detection values ​​of the first dimension of the multiple surface features of the second surface feature 522 and the detection values ​​of the fourth dimension of the multiple side features of the second side feature 532 satisfy the first preset variation pattern and the second preset variation pattern, respectively. Alternatively, the hardware spot inspection result can also be determined based on whether the product (i.e., area) of the detection values ​​of the first dimension and the detection values ​​of the second dimension of the multiple surface features of the second surface feature 522 and the detection values ​​of the fourth dimension of the multiple side features of the second side feature 532 satisfy the first preset variation pattern and the second preset variation pattern, respectively (e.g., whether the variation pattern of the detection value / the product of the detection values ​​is consistent with or similar to the preset variation pattern).

[0125] The above embodiment enables only the dimensions of multiple surface features / side features according to a preset variation rule to be obtained based on the detection image acquired by the image acquisition unit when performing hardware spot inspection results, thereby improving the efficiency of spot inspection.

[0126] According to some embodiments of the present application, step S703, determining the hardware inspection results of the first camera, the second camera, the third camera and the fourth camera based on the inspection judgment parameters includes: for each surface feature, based on the detection value of one of the first size and the second size of the multiple surface feature parts of the surface feature, determining the first detection change law of the multiple surface feature parts of the surface feature; for each side feature, based on the detection value of the fourth size of the multiple side feature parts of the side feature, determining the second detection change law of the multiple side feature parts of the side feature; comparing the first detection change law of each surface feature and the second detection change law of each side feature with the first preset change law of the surface feature and the second preset change law of the side feature, respectively; and determining whether the hardware inspection result is passed based on the comparison result.

[0127] In response to the fact that the change pattern of the detection values ​​of the first size / second size of multiple surface feature parts of a certain surface feature and / or the change pattern of the detection values ​​of the fourth size of multiple side feature parts of a certain side feature are respectively consistent with the first preset change pattern and the second preset change pattern (for example, inconsistent, or not similar, etc.), the hardware inspection result is determined to be failed, that is, there is a fault in the camera that collects the certain surface feature and / or the certain side feature.

[0128] The specific dimensions of the surface feature parts and side feature parts on the battery contoured body 510 provided in this embodiment have a preset variation pattern, which no longer requires reliance on the comparison of a single measurement value, making the inspection more robust and enabling more accurate judgment of the working status of the battery shell cover welding system 1000, thereby improving the accuracy and reliability of fault diagnosis.

[0129] According to some embodiments of the present application, the defect detection result of at least one defect image includes detection defect data of the welding defect included in at least one defect image, and step S706, determining the software inspection result of the visual inspection software based on the defect detection result includes: obtaining the actual defect data of the welding defect included in at least one defect image; and determining whether the software inspection result is passed based on the detection defect data and the actual defect data.

[0130] If the detected defect result is consistent with the actual defect data or the difference is within the characteristic range, the software inspection result is determined to be passed, indicating that the visual inspection software is not faulty. If a detected defect result is inconsistent with the corresponding actual defect data or the difference is not within the characteristic range, the software inspection result is determined to be failed, indicating that the visual inspection software is faulty.

[0131] The above embodiment utilizes the visual inspection software of the host computer to obtain the defect detection results of the preset defect images. Based on the defect detection results, the software inspection results of the visual inspection software of the battery case cover welding system 1000 can be determined, thereby promptly discovering and resolving problems, ensuring the normal operation of the battery case cover welding system 1000, improving the accuracy and reliability of the measurement, and thus ensuring the accuracy of the inspection results. Compared with traditional manual measurement methods, the above embodiment reduces human intervention, not only increasing the inspection speed and thus improving production efficiency, but also reducing the possibility of human error.

[0132] The actual defect data includes the actual defect type of the welding defect included in at least one defect image, the detected defect data includes the detected defect type of the welding defect included in at least one defect image, and based on the detected defect data and the actual defect data, determining whether the software inspection result is passed includes: comparing the actual defect type of the welding defect included in at least one defect image with the detected defect type; and in response to the actual defect type of the first welding defect included in the first defect image in at least one defect image being different from the detected defect type, determining that the software inspection result is failed.

[0133] That is, if the actual defect type of a defect in the defect image is different from the detected defect type obtained through inspection, then the threshold parameter used by the visual inspection software to determine whether the defect is a first defect may be biased. Therefore, the above embodiment can be used to determine whether the threshold parameter used by the visual inspection software to determine the first defect is biased.

[0134] The above embodiment can conveniently and effectively check the software parameters of the battery case cover welding system 1000 by specifically comparing the actual defect types of the sample images with the detected defect types.

[0135] As shown in Figures 1 to 6, the battery shell cover welding system 1000 includes: a calibration block 500, including: a battery contour body 510, the battery contour body 510 includes a top surface 511, a first side surface 512 connected to the top surface 511 through a first edge 511-1, a second side surface 513 connected to the top surface 511 through a second edge 511-2, a third side surface connected to the top surface 511 through a third edge 511-3, and a fourth side surface connected to the top surface 511 through a fourth edge 511-4. The first surface feature 521, the second surface feature 522, the third surface feature 523 and the fourth surface feature 524 are respectively arranged close to the first edge 511-1, the second edge 511-2, the third edge 511-3 and the fourth edge 511-4, and are all located on the top surface 511; the first side feature 531, the second side feature 532, the third side feature and the fourth side feature are respectively arranged close to the first edge 511-1, the second edge 511-2, the third edge 511-3 and the fourth edge The edges 511-4 are arranged and are respectively located on the first side 512, the second side 513, the third side and the fourth side; the image acquisition component 100 includes a first camera 110, a second camera 120, a third camera 130 and a fourth camera 140, the first camera 110 is located obliquely above the first edge 511-1 and is used to acquire detection images of the first surface feature 521 and the first side feature 531, the second camera 120 is located obliquely above the second edge 511-2 and is used to acquire detection images of the second surface feature 522 and the second side feature 532, the third camera 130 is located obliquely above the third edge 511-3 and is used to acquire detection images of the third surface feature 523 and the third side feature, and the fourth camera 140 is located obliquely above the fourth edge 511-4 and is used to acquire detection images of the fourth surface feature 524 and the fourth side feature; and a host computer is configured to determine the hardware inspection result of the image acquisition component 100 according to the detection image acquired by the image acquisition component 100.

[0136] Each of the first surface feature 521, the second surface feature 522, the third surface feature 523 and the fourth surface feature 524 includes a plurality of surface feature portions, and the plurality of surface feature portions are arranged at intervals in the extension direction of the corresponding adjacent edges among the first edge 511-1, the second edge 511-2, the third edge 511-3 and the fourth edge 511-4, and each of the first side feature 531, the second side feature 532, the third side feature and the fourth side feature includes a plurality of side feature portions, and the plurality of side feature portions are arranged at intervals in the extension direction of the corresponding adjacent edges among the first edge 511-1, the second edge 511-2, the third edge 511-3 and the fourth edge 511-4. Each of the multiple surface feature portions includes a first dimension parallel to the corresponding adjacent edge and the top surface 511 and a second dimension perpendicular to the corresponding adjacent edge and parallel to the top surface 511, wherein one of the first dimension and the second dimension of the multiple surface feature portions changes according to a first preset change rule along the extension direction of the corresponding adjacent edge, while the other dimensions of the multiple surface feature portions remain unchanged, and each of the multiple side feature portions includes a fourth dimension perpendicular to the corresponding side among the first side 512, the second side 513, the third side and the fourth side, wherein the fourth dimension of the multiple side feature portions changes according to a second preset change rule along the extension direction of the corresponding adjacent edge, while the other dimensions of the multiple side feature portions remain unchanged.

[0137] The host computer is configured to: acquire inspection images of the first surface feature 521, the second surface feature 522, the third surface feature 523, the fourth surface feature 524, the first side feature 531, the second side feature 532, the third side feature, and the fourth side feature; determine inspection judgment parameters based on the inspection images; determine hardware inspection results of the first camera 110, the second camera 120, the third camera 130, and the fourth camera 140 based on the inspection judgment parameters; acquire at least one defect image of the battery case cover including at least one weld defect; determine defect detection results of the at least one defect image using visual inspection software of the battery case cover welding system; and determine software inspection results of the visual inspection software based on the defect detection results. The inspection judgment parameters include a detection value of one of the first and second dimensions of multiple surface feature portions of each surface feature, and a detection value of the fourth dimension of multiple side feature portions of each side feature. The actual defect data includes the actual defect type of the weld defect included in the at least one defect image, and the detected defect data includes the detected defect type of the weld defect included in the at least one defect image.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and they should all be included in the scope of the claims and specification of the present application. In particular, as long as there is no structural conflict, the various technical features mentioned in the various embodiments can be combined in any way. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A battery case cover welding system, comprising: Calibration block, including: a battery contoured body, the battery contoured body comprising a top surface, a first side surface connected to the top surface via a first edge, a second side surface connected to the top surface via a second edge, a third side surface connected to the top surface via a third edge, and a fourth side surface connected to the top surface via a fourth edge; a first surface feature, a second surface feature, a third surface feature, and a fourth surface feature, disposed adjacent to the first edge, the second edge, the third edge, and the fourth edge, respectively, and all located on the top surface; a first side feature, a second side feature, a third side feature, and a fourth side feature, respectively disposed adjacent to the first edge, the second edge, the third edge, and the fourth edge, and respectively located on the first side, the second side, the third side, and the fourth side; an image acquisition component, comprising a first camera, a second camera, a third camera, and a fourth camera, wherein the first camera is located obliquely above the first edge and is used to acquire detection images of the first surface feature and the first side feature, the second camera is located obliquely above the second edge and is used to acquire detection images of the second surface feature and the second side feature, the third camera is located obliquely above the third edge and is used to acquire detection images of the third surface feature and the third side feature, and the fourth camera is located obliquely above the fourth edge and is used to acquire detection images of the fourth surface feature and the fourth side feature; and The host computer is configured to determine the hardware inspection result of the image acquisition component based on the detection image acquired by the image acquisition component, wherein each of the first surface feature, the second surface feature, the third surface feature, and the fourth surface feature comprises a plurality of surface feature portions, the plurality of surface feature portions being arranged at intervals in the extension direction of the corresponding adjacent edges among the first edge, the second edge, the third edge, and the fourth edge; and Each of the first side feature, the second side feature, the third side feature, and the fourth side feature includes a plurality of side feature portions, and the plurality of side feature portions are spaced apart in an extension direction of the corresponding adjacent edges among the first edge, the second edge, the third edge, and the fourth edge.

2. The system according to claim 1, wherein: Each of the plurality of surface features comprises a first dimension parallel to the corresponding proximate edge and the top surface and a second dimension perpendicular to the corresponding proximate edge and parallel to the top surface, wherein the first dimension of the plurality of surface features is One of the first size and the second size changes along the extension direction of the corresponding adjacent edge according to a first preset change rule, and Each of the multiple side feature portions includes a fourth dimension perpendicular to the corresponding side among the first side, the second side, the third side and the fourth side, wherein the fourth dimensions of the multiple side feature portions change according to a second preset change rule along the extension direction of the corresponding adjacent edges.

3. The system according to claim 2, wherein: The plurality of surface features each further comprises a third dimension perpendicular to the top surface, wherein the other of the first and second dimensions of the plurality of surface features are equal to one another, and the third dimensions of the plurality of surface features are equal to one another, and Each of the plurality of side features further includes a fifth dimension parallel to the corresponding side and the corresponding adjacent edge, and a sixth dimension parallel to the corresponding side and perpendicular to the corresponding adjacent edge, wherein the fifth dimensions of the plurality of side features are equal to one another, and the sixth dimensions of the plurality of side features are equal to one another.

4. The system according to claim 2, wherein: The host computer is configured as follows: determining spot inspection judgment parameters based on the detection images collected by the first camera, the second camera, the third camera, and the fourth camera, and Determine the hardware spot inspection result according to the spot inspection judgment parameter; The inspection and determination parameters include a detection value of one of the first and second dimensions of the plurality of surface feature portions of each surface feature and a detection value of a fourth dimension of the plurality of side feature portions of each side feature.

5. The method according to claim 4, wherein Determining the hardware spot inspection result according to the spot inspection judgment parameter includes: For each surface feature, determining a first detection variation rule of the plurality of surface feature portions of the surface feature based on the detected value of the one of the first size and the second size of the plurality of surface feature portions of the surface feature; For each side feature, determining a second detection variation pattern of the plurality of side feature portions of the side feature based on the detection values ​​of the fourth dimension of the plurality of side feature portions of the side feature; Comparing the first detected variation rule of each surface feature and the second detected variation rule of each side feature with the first preset variation rule of the surface feature and the second preset variation rule of the side feature, respectively; and Based on the comparison result, it is determined whether the hardware inspection result passes.

6. The system according to any one of claims 1 to 5, wherein: The host computer is further configured to determine a software inspection result of the visual inspection software in the host computer, including: Acquire at least one defect image of the battery case cover including at least one welding defect; determining a defect detection result of the at least one defect image by the visual inspection software, and The software inspection result of the battery shell cover welding system is determined according to the defect detection result.

7. The method according to claim 6, wherein: The defect detection result of the at least one defect image includes detection defect data of the welding defect included in the at least one defect image, and determining the software inspection result of the battery case cover welding system according to the defect detection result includes: Acquiring actual defect data of the welding defect included in the at least one defect image; and Based on the detected defect data and the actual defect data, it is determined whether the software spot check result passes.

8. The method according to claim 7, wherein: The actual defect data includes an actual defect type of the welding defect included in the at least one defect image, the detected defect data includes a detected defect type of the welding defect included in the at least one defect image, and determining whether the software spot inspection result passes based on the detected defect data and the actual defect data includes: comparing the actual defect type of the welding defect included in the at least one defect image with the detected defect type; and In response to an actual defect type of a first welding defect included in a first defect image of the at least one defect image being different from a detected defect type, it is determined that the software spot inspection result fails.

9. The system according to any one of claims 1 to 8, wherein: An indicator mark is also provided on the top surface for indicating the placement direction of the calibration block relative to the image acquisition component.

10. The system according to any one of claims 1 to 9, wherein: The image acquisition assembly further includes a mounting bracket, and the first camera, the second camera, the third camera, and the fourth camera are connected to the mounting bracket and are movable relative to the mounting bracket.

11. The system according to claim 10, wherein: The mounting bracket includes a first vertical support portion, a second vertical support portion, a first transverse support portion, a second transverse support portion and a base plate, wherein the first vertical support portion and the second vertical support portion are fixed to the base plate at a certain distance, the first transverse support portion and the second transverse support portion are connected between the first vertical support portion and the second vertical support portion at a certain distance, and wherein the first camera, the second camera, the third camera and the fourth camera are movably connected to the base plate.

12. The system according to claim 11, wherein The first vertical supporting portion and the second vertical supporting portion are arranged in parallel and perpendicular to the bottom plate, and the first horizontal supporting portion and the second horizontal supporting portion are arranged in parallel and parallel to the bottom plate.

13. The system according to claim 11 or 12, wherein: A hollow portion is provided on at least one of the first vertical supporting portion, the second vertical supporting portion, the first horizontal supporting portion, and the second horizontal supporting portion.

14. The system according to any one of claims 1 to 13, wherein: The intervals of the spaced arrangement of the plurality of surface feature portions of each surface feature and the intervals of the spaced arrangement of the plurality of side feature portions of each side feature are determined according to the detection accuracy of the first camera, the second camera, the third camera, and the fourth camera.

15. A spot inspection method for a battery case cover welding system, the spot inspection method being performed in the battery case cover welding system according to any one of claims 1 to 14, the spot inspection method comprising: Acquire detection images of the first surface feature, the second surface feature, the third surface feature, the fourth surface feature, the first side feature, the second side feature, the third side feature, and the fourth side feature; Determining spot inspection judgment parameters according to the detection image; Determining hardware spot inspection results of the first camera, the second camera, the third camera, and the fourth camera according to the spot inspection judgment parameters; as well as Acquire at least one defect image of the battery case cover including at least one welding defect; determining a defect detection result of the at least one defect image by visual inspection software of the system; as well as A software inspection result of the visual inspection software is determined according to the defect detection result.

16. The inspection method according to claim 15, wherein: The first camera and the third camera are arranged opposite to each other, and the second camera and the fourth camera are arranged opposite to each other, and acquiring detection images of the first surface feature, the second surface feature, the third surface feature, the fourth surface feature, the first side feature, the second side feature, the third side feature, and the fourth side feature includes: moving the first camera and the third camera relative to an extension direction of the first edge and an extension direction of the third edge, respectively, to capture detection images of the first surface feature and the first side feature, the third surface feature and the third side feature; and The second camera and the fourth camera are moved relative to the extension direction of the second edge and the extension direction of the fourth edge respectively to collect detection images of the second surface feature and the second side feature, the fourth surface feature and the fourth side feature.

17. The method according to claim 15 or 16, wherein Each of the first, second, third, and fourth surface features includes a plurality of surface feature portions, each of the plurality of surface feature portions includes a first dimension parallel to a correspondingly adjacent edge among the first, second, third, and fourth edges and the top surface, and a second dimension perpendicular to the correspondingly adjacent edge and parallel to the top surface, wherein one of the first and second dimensions of the plurality of surface feature portions changes according to a first preset change rule, and each of the first, second, third, and fourth side features includes a plurality of side feature portions, each of the plurality of side feature portions includes a fourth dimension perpendicular to a relatively located side among the first, second, third, and fourth sides, wherein the fourth dimensions of the plurality of side feature portions change according to a second preset change rule, and The inspection and determination parameters include a detection value of one of the first and second dimensions of the plurality of surface feature portions of each surface feature and a detection value of a fourth dimension of the plurality of side feature portions of each side feature.

18. The method according to claim 17, wherein Determining hardware spot inspection results of the first camera, the second camera, the third camera, and the fourth camera according to the spot inspection judgment parameter includes: For each surface feature, determining a first detection variation rule of the plurality of surface feature portions of the surface feature based on the detected value of the one of the first size and the second size of the plurality of surface feature portions of the surface feature; For each side feature, determining a second detection variation pattern of the plurality of side feature portions of the side feature based on the detection values ​​of the fourth dimension of the plurality of side feature portions of the side feature; The first detection variation rule of each surface feature and the second detection variation rule of each side feature are respectively compared with the comparing the first preset variation rule of the surface feature with the second preset variation rule of the side feature; and Based on the comparison result, it is determined whether the hardware inspection result passes.

19. The method according to any one of claims 15 to 18, wherein The defect detection result of the at least one defect image includes detection defect data of the welding defect included in the at least one defect image, and determining the software inspection result of the visual inspection software based on the defect detection result includes: Acquiring actual defect data of the welding defect included in the at least one defect image; and Based on the detected defect data and the actual defect data, it is determined whether the software spot check result passes.

20. The method according to claim 19, wherein The actual defect data includes an actual defect type of the welding defect included in the at least one defect image, the detected defect data includes a detected defect type of the welding defect included in the at least one defect image, and determining whether the software spot inspection result passes based on the detected defect data and the actual defect data includes: comparing the actual defect type of the welding defect included in the at least one defect image with the detected defect type; and In response to an actual defect type of a first welding defect included in a first defect image of the at least one defect image being different from a detected defect type, it is determined that the software spot inspection result fails.

Images