Battery electrolyte leakage detection system and method

Abstract

A battery electrolyte leakage detection system, comprising an image collection assembly (10), a light source assembly (11), and an industrial personal computer (12), which is connected to both of the image collection assembly (10) and the light source assembly (11), wherein the light source assembly (11) may face a target surface of a battery to be subjected to detection, and is used for projecting target detection light to the target surface of said battery; the image collection assembly (10) may be disposed around the light source assembly (11), and is used for collecting image data of the target surface of said battery and outputting multi-channel image data corresponding to the target surface; and the industrial personal computer (12) can be used for acquiring the multi-channel image data from the image collection assembly, and performing electrolyte leakage detection on said battery on the basis of the multi-channel image data, so as to obtain an electrolyte leakage detection result. A more accurate electrolyte leakage detection result for a target surface of a battery can be obtained on the basis of multi-channel image data, and the accuracy of the electrolyte leakage detection result is relatively high. The present application further relates to a battery electrolyte leakage detection method.

Description

Battery leakage detection system and method CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application is related to the Chinese Patent Application No. 2024108256560 entitled "Battery leakage detection system and method" filed on June 24, 2024, which is incorporated by reference in its entirety. TECHNICAL FIELD

[0002] The present application relates to the technical field of batteries, and in particular to a battery leakage detection system and method. BACKGROUND

[0003] In the process of battery production, there may be a situation that electrolyte overflows from the top cover of the battery during the liquid injection process, which will affect the performance of the battery. Therefore, it is very important to detect the battery leakage.

[0004] In the related art, whether the battery has liquid leakage is detected by manual visual inspection. However, the related art has the problem of low accuracy of leakage detection. SUMMARY

[0005] In view of the above problems, the present application provides a battery leakage detection system and method, which can solve the problem of low accuracy of leakage detection in the related art.

[0006] In a first aspect, the embodiments of the present application provide a battery leakage detection system, which comprises an image acquisition component, a light source component, and an industrial computer connected with the image acquisition component and the light source component respectively.

[0007] The light source component is directed towards a target surface of a battery to be detected, and is configured to project target detection light to the target surface of the battery.

[0008] The image acquisition component is arranged around the light source component, and is configured to acquire image data of the target surface of the battery and output multi-channel image data corresponding to the target surface.

[0009] The industrial computer is configured to acquire the multi-channel image data from the image acquisition component, and perform leakage detection on the battery according to the multi-channel image data to obtain a leakage detection result.

[0010] In the embodiment of the present application, the multi-channel image data corresponding to the target surface of the battery to be detected is obtained by combining the light source assembly and the image acquisition assembly, so that the industrial computer can detect the liquid leakage of the battery according to the multi-channel image data corresponding to the target surface. Since the image data of each channel can be used to indicate the liquid leakage of the target surface of the battery in the channel, the multi-channel image data in the embodiment of the present application can more clearly and completely indicate the liquid leakage of the target surface of the battery in different channels, and therefore, the liquid leakage detection result of the target surface of the battery can be more accurately obtained according to the multi-channel image data, and the accuracy of the liquid leakage detection result is higher.

[0011] In some embodiments, the light source assembly comprises: a preset light source part arranged opposite to the target surface of the battery;

[0012] The preset light source part is configured to project target detection light to the target surface of the battery according to preset light emission setting parameters.

[0013] In the embodiment of the present application, the preset light source part projects the target detection light to the target surface according to the preset light emission setting parameters, so that the detection light projected to the target surface can more clearly reflect the defects of the target surface, so that the image acquisition assembly can acquire the multi-channel image data which can more clearly reflect the liquid leakage of the target surface.

[0014] In some embodiments, the light source assembly further comprises an optical mirror arranged between the target surface and the preset light source part; and the image acquisition assembly is arranged above the light source assembly.

[0015] The preset light source part is configured to project target detection light to the target surface through the optical mirror according to preset light emission setting parameters; and the target detection light is sinusoidal fringe light.

[0016] The image acquisition assembly is specifically configured to acquire image data of the target surface of the battery through the optical mirror, and output multi-channel image data corresponding to the target surface.

[0017] In the embodiment of the present application, the light source assembly can comprise a preset light source part and an optical mirror, and the image acquisition assembly is arranged above the light source assembly. The preset light source part can project sinusoidal fringe light to the target surface through the optical mirror according to preset light emission setting parameters, so that the image acquisition assembly can acquire image data of the target surface of the battery through the optical mirror, and output multi-channel image data corresponding to the target surface. Since the multi-channel image data is obtained under the irradiation of the sinusoidal fringe light, it can show the bright and dark conditions of the target surface under the irradiation of the sinusoidal fringe light, which is conducive to clearly showing the liquid leakage of the target surface, and therefore, the multi-channel image data corresponding to the target surface output by the embodiment of the present application is conducive to further improving the accuracy of the liquid leakage detection.

[0018] In some embodiments, the image acquisition component is arranged opposite to the target surface of the battery.

[0019] The preset light source component is configured to project target detection light to the target surface according to preset light emission setting parameters, and the target detection light comprises annular sector light.

[0020] In the embodiments, the light source component can include a preset light source component, and the image acquisition component is arranged opposite to the target surface of the battery. The preset light source component can project annular sector light to the target surface according to preset light emission setting parameters, so that the image acquisition component can acquire image data of the target surface of the battery and output multi-channel image data corresponding to the target surface. Since the multi-channel image data is obtained under the irradiation of the annular sector light, it can show the light and dark changes of the target surface under different degrees of illumination, which is conducive to clearly showing the liquid leakage of the target surface. Therefore, the multi-channel image data corresponding to the target surface output by the embodiments can further improve the accuracy of the liquid leakage detection.

[0021] In some embodiments, the battery liquid leakage detection system includes a first image detection mechanism and a second image detection mechanism arranged symmetrically, wherein the first image detection mechanism includes a first image acquisition component and a first light source component, and the second image detection mechanism includes a second image acquisition component and a second light source component.

[0022] The first light source component is arranged towards a first target surface of the battery to be detected, and is configured to project first target detection light to the first target surface of the battery.

[0023] The second light source component is arranged towards a second target surface of the battery to be detected, and is configured to project second target detection light to the second target surface of the battery. The first target surface and the second target surface are two surfaces arranged symmetrically in the battery.

[0024] The first image acquisition component is configured to acquire image data of the first target surface of the battery and output multi-channel image data corresponding to the first target surface.

[0025] The second image acquisition component is configured to acquire image data of the second target surface of the battery and output multi-channel image data corresponding to the second target surface.

[0026] The industrial computer is configured to perform liquid leakage detection on the battery according to the acquired multi-channel image data corresponding to the first target surface and the multi-channel image data corresponding to the second target surface, and obtain a liquid leakage detection result.

[0027] In the embodiment of the present application, the battery liquid leakage detection system comprises the first image detection mechanism and the second image detection mechanism arranged symmetrically, the first image detection mechanism is used to acquire the multi-channel image data corresponding to the first target surface of the battery, and the second image detection mechanism is used to acquire the multi-channel image data corresponding to the second target surface of the battery, so that the industrial computer can detect the liquid leakage of different target surfaces of the battery according to the multi-channel image data of the different target surfaces of the battery. It can be seen that the symmetric liquid leakage detection method in the embodiment of the present application is beneficial to improve the liquid leakage detection efficiency.

[0028] In some embodiments, the battery liquid leakage detection system comprises the third image detection mechanism and the fourth image detection mechanism arranged side by side, wherein the third image detection mechanism comprises a third image acquisition assembly and a third light source assembly, and the fourth image detection mechanism comprises a fourth image acquisition assembly and a fourth light source assembly.

[0029] The third light source assembly is arranged towards the first region of the target surface of the battery to be detected, and is used to project the third target detection light to the first region of the target surface of the battery.

[0030] The fourth light source assembly is arranged towards the second region of the target surface of the battery to be detected, and is used to project the fourth target detection light to the second region of the target surface of the battery. The first region and the second region are different regions of the target surface along the length direction.

[0031] The third image acquisition assembly is used to acquire the image data of the first region of the target surface, and output the multi-channel image data corresponding to the first region of the target surface.

[0032] The fourth image acquisition assembly is used to acquire the image data of the second region of the target surface, and output the multi-channel image data corresponding to the second region of the target surface.

[0033] The industrial computer is used to detect the liquid leakage of the battery according to the acquired multi-channel image data corresponding to the first region of the target surface and the multi-channel image data corresponding to the second region of the target surface, and obtain the liquid leakage detection result.

[0034] In the embodiment of the present application, the battery liquid leakage detection system comprises the third image detection mechanism and the fourth image detection mechanism arranged side by side, the third image detection mechanism is used to acquire the multi-channel image data corresponding to the first region of the target surface of the battery, and the fourth image detection mechanism is used to acquire the multi-channel image data corresponding to the second region of the target surface of the battery, so that the industrial computer can detect the liquid leakage of different regions of the target surface of the battery according to the multi-channel image data of the different regions of the target surface. It can be seen that the side-by-side liquid leakage detection method in the embodiment of the present application is beneficial to further improve the accuracy of the liquid leakage detection.

[0035] In some embodiments, the battery liquid leakage detection system further comprises a transmission track, a containing assembly and a driving assembly; the image acquisition assembly and the light source assembly are arranged around the transmission track;

[0036] The containing assembly is arranged on the transmission track and is used to carry the battery to be detected; the target surface of the battery faces a direction perpendicular to the extension direction of the transmission track;

[0037] The driving assembly is connected with the transmission track or the containing assembly to drive the containing assembly to move along the transmission track;

[0038] The transmission track is used to move the battery to be detected from the liquid leakage detection position to the film coating position.

[0039] In the embodiments of the present application, the combination of the transmission track, the containing assembly and the driving assembly can realize the intelligent transportation of the battery to be detected along the preset transmission line, so that the liquid leakage detection of different batteries to be detected can be performed in sequence, thereby improving the efficiency of liquid leakage detection.

[0040] In some embodiments, the battery liquid leakage detection system further comprises a control device connected with the driving assembly and the image acquisition assembly respectively;

[0041] The control device is used to control the driving assembly to drive the containing assembly to move along the transmission track to the corresponding liquid leakage detection position, and control the image acquisition assembly to detect the multi-channel image data of the target surface of the battery.

[0042] In the embodiments of the present application, the control device can realize the linkage control of the driving assembly and the image acquisition assembly, which can improve the control flexibility of the battery liquid leakage detection system, thereby improving the efficiency of liquid leakage detection.

[0043] In some embodiments, the control device is further connected with an industrial computer;

[0044] The control device is further used to receive the liquid leakage detection result sent by the industrial computer, and determine whether the battery to be detected meets the preset production requirement according to the comparison between the liquid leakage detection result and the preset defect condition, wherein the preset defect condition is used to indicate a plurality of preset liquid leakage defect conditions that do not meet the preset production requirement.

[0045] In the embodiments of the present application, the control device determines whether the battery to be detected meets the preset production requirement by comparing the liquid leakage detection result with the preset defect condition, so that the preset operation can be performed in time when it is determined that the battery does not meet the preset production requirement, thereby relieving the rework process due to the battery not meeting the production requirement, and improving the production efficiency of the battery.

[0046] In some embodiments, the battery liquid leakage detection system further comprises a sliding track, a cantilever and a grabbing component; the sliding track is arranged above the conveying track through a support frame, a first end of the cantilever is movably arranged on the sliding track, and the grabbing component is arranged at a tail end of the cantilever; an extension direction of the sliding track is perpendicular to an extension direction of the conveying track.

[0047] The control device is specifically configured to: in a case where it is determined that the battery to be detected does not meet the preset production requirement, control the cantilever to move above the battery along the sliding track, and control the grabbing component to grab the battery along an extension direction of the cantilever, so as to move the battery to a preset waste area arranged near the conveying track.

[0048] The battery liquid leakage detection system in the embodiments of the present application can further comprise a sliding track, a cantilever and a grabbing component arranged above the conveying track. The sliding track is arranged above the conveying track through a support frame, a first end of the cantilever is movably arranged on the sliding track, and the grabbing component can be arranged at a tail end of the cantilever. In a case where it is determined that the battery to be detected does not meet the preset production requirement, the cantilever is controlled to move above the battery along the sliding track by the control device, and the grabbing component is controlled to grab the battery along an extension direction of the cantilever, so as to move the battery to a preset waste area. In this way, the battery that does not meet the preset production requirement can be flexibly screened out, so that the battery that does not meet the preset production requirement can be processed accordingly, and only the battery that meets the preset production requirement can be conveyed to the next preparation and detection process, which can alleviate the situation that the battery does not meet the production requirement and needs to be returned to the process, thereby facilitating the production efficiency of the battery.

[0049] In some embodiments, the industrial computer is specifically configured to:

[0050] perform image fusion processing on the multi-channel image data to obtain a target fusion image;

[0051] perform liquid leakage detection processing on the target fusion image to obtain a liquid leakage detection result.

[0052] In the embodiments of the present application, the target fusion image obtained by the fusion processing on the multi-channel image data is used for liquid leakage detection processing. Since the target fusion image is an image obtained by the fusion of multi-channel image data, it can provide more and richer liquid leakage conditions of the target surface. Therefore, the target fusion image is used for liquid leakage detection processing, which is conducive to further improving the accuracy of liquid leakage detection.

[0053] In some embodiments, the industrial computer is specifically configured to:

[0054] performing preset processing on the target fusion image to obtain a target binary image, wherein a pixel value of a pixel point in a non-defect area in the target binary image is a first preset value, and a pixel value of a pixel point in a defect area in the target binary image is a second preset value, wherein the second preset value is greater than the first preset value;

[0055] determining a liquid leakage detection result according to the target binary image.

[0056] In the embodiments of the present application, the target binary image is obtained by performing preset processing on the target fusion image, and the liquid leakage detection result is determined according to the target binary image. Since the boundaries between the defect area and the non-defect area in the target binary image are obvious, the liquid leakage detection result is determined according to the target binary image, which is beneficial to more accurately and quickly determine the liquid leakage detection result.

[0057] In a second aspect, the embodiments of the present application provide a battery liquid leakage detection method, which is applied to the industrial computer in the battery liquid leakage detection system.

[0058] obtaining, from the image acquisition assembly in the battery liquid leakage detection system, multi-channel image data corresponding to a target surface of a battery to be detected;

[0059] performing liquid leakage detection on the battery according to the multi-channel image data to obtain a liquid leakage detection result.

[0060] In the embodiments of the present application, since the multi-channel image data corresponding to the target surface can accurately indicate the defect condition of the target surface of the battery, the accuracy of the defect detection according to the multi-channel image data is high.

[0061] In some embodiments, performing liquid leakage detection on the battery according to the multi-channel image data to obtain a liquid leakage detection result includes:

[0062] performing image fusion processing according to the multi-channel image data to obtain a target fusion image;

[0063] performing liquid leakage detection processing according to the target fusion image to obtain a liquid leakage detection result.

[0064] In some embodiments, performing liquid leakage detection processing according to the target fusion image to obtain a liquid leakage detection result includes:

[0065] performing preset processing on the target fusion image to obtain a target binary image, wherein a pixel value of a pixel point in a non-defect area in the target binary image is a first preset value, and a pixel value of a pixel point in a defect area in the target binary image is a second preset value, wherein the second preset value is greater than the first preset value;

[0066] determining a liquid leakage detection result according to the target binary image.

[0067] In some embodiments, the liquid leakage detection result is determined according to the target binary image, including:

[0068] The target binary image is comprehensively detected based on a preset liquid leakage detection rule to determine whether a liquid leakage area exists in the target binary image, wherein the preset liquid leakage detection rule is used to indicate a plurality of preset liquid leakage defect reference information.

[0069] In some embodiments, the liquid leakage detection result is determined according to the target binary image, including:

[0070] An area image containing each defect area in the target binary image is extracted;

[0071] The area image is input into a preset liquid leakage detection model to determine whether a liquid leakage area exists in the area image.

[0072] In some embodiments, the target fusion image is obtained by performing image fusion processing on the multi-channel image data, including:

[0073] The multi-channel image data is subjected to image fusion processing to obtain an initial fusion image;

[0074] If the uniformity of the gray values of different pixels in the initial fusion image is less than a preset uniformity, the initial fusion image is subjected to flat field correction processing to obtain the target fusion image.

[0075] In some embodiments, the target binary image is obtained by performing a preset processing on the target fusion image, including:

[0076] The target fusion image and the initial fusion image are subjected to image difference processing to identify a defect area in the target fusion image;

[0077] The defect area and the non-defect area in the target fusion image are subjected to binary processing to obtain the target binary image.

[0078] In some embodiments, the method further includes:

[0079] The liquid leakage detection result is sent to a control device in a battery liquid leakage detection system to instruct the control device to compare the liquid leakage detection result with a preset defect condition to determine whether the battery to be detected meets a preset production requirement, wherein the preset defect condition is used to indicate a plurality of preset liquid leakage defect conditions that do not meet the preset production requirement.

[0080] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the specific embodiments of the present application can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. Attached Figure Description

[0081] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiments below. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0082] Figure 1 is a schematic diagram of the structure of a battery leakage detection system provided in some embodiments of this application;

[0083] Figure 2 is a schematic diagram of the structure of a battery leakage detection system provided in some other embodiments of this application;

[0084] Figure 3 is a schematic diagram of the external structure of the image acquisition component and the light source component provided in some embodiments of this application;

[0085] Figure 4 is a schematic diagram of the internal structure of the image acquisition component and the light source component provided in some embodiments of this application;

[0086] Figure 5 is a schematic diagram of the structure of a battery leakage detection system provided in some other embodiments of this application;

[0087] Figure 6 is a schematic diagram of the structure of a battery leakage detection system provided in some other embodiments of this application;

[0088] Figure 7 is a schematic diagram of the structure of a battery leakage detection system provided in some other embodiments of this application;

[0089] Figure 8 is a three-dimensional structural schematic diagram of a battery leakage detection system provided in some embodiments of this application;

[0090] Figure 9 is a front view structural schematic diagram of a battery leakage detection system provided in some embodiments of this application;

[0091] Figure 10 is a top view of a battery leakage detection system provided in some embodiments of this application;

[0092] Figure 11 is an overall schematic diagram of a battery leakage detection system provided in some embodiments of this application;

[0093] Figure 12 is a schematic diagram of the setting method of the image detection mechanism provided in the embodiment of this application;

[0094] Figure 13 is a schematic flowchart of a battery leakage detection method provided in some embodiments of this application;

[0095] Figure 14 is a schematic flowchart of a battery leakage detection method provided in some other embodiments of this application;

[0096] FIG. 15 is a flowchart of a battery liquid leakage detection method according to some embodiments of the present application;

[0097] FIG. 16 is a structural diagram of a battery liquid leakage detection device according to some embodiments of the present application. DETAILED DESCRIPTION

[0098] The embodiments of the technical solutions of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore only serve as examples, and cannot limit the protection scope of the present application.

[0099] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms in the specification and claims of the present application and the above description of the drawings are intended to cover non-exclusive inclusion.

[0100] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more (including two), unless otherwise explicitly specified.

[0101] The battery liquid leakage detection system and method provided by the embodiments of the present application can be applied to the battery liquid leakage detection application scenario; of course, it can also be applied to the detection of other defects on the surface of the battery, such as concave-convex defect detection and / or scratch defect detection, etc.

[0102] Generally, the production process of the battery includes a plurality of preparation detection procedures, wherein the plurality of preparation detection procedures can include but are not limited to the liquid injection process and the blue film packaging process. During the production process of the battery, the battery may, for example, have electrolyte overflow from the top cover of the battery in the liquid injection process, which can cause the following blue film packaging process to be not tight enough, and bubbles to be generated between the blue film and the surface of the battery, which can affect the safety performance of the battery. Therefore, it is very important to detect the liquid leakage of the battery.

[0103] In the related art, whether the battery has liquid leakage is detected by manual visual inspection. However, the related art has the problem of low accuracy of liquid leakage detection, which may have the risk of omission.

[0104] In order to solve the problem of low accuracy of liquid leakage detection in the related art, the embodiment of the present application proposes that the multi-channel image data corresponding to the surface of the battery to be detected can be collected, and the surface of the battery is detected for liquid leakage according to the multi-channel image data. Since the image data of each channel can be used to indicate the liquid leakage of the battery surface in the channel, the multi-channel image data in the embodiment of the present application can more clearly and completely indicate the liquid leakage of the battery surface in different channels, and therefore the liquid leakage of the battery surface can be more accurately detected according to the multi-channel image data.

[0105] Based on the above consideration, the embodiment of the present application proposes that the multi-channel image data corresponding to the target surface of the battery to be detected is obtained by combining the light source assembly and the image acquisition assembly, so that the industrial computer detects the liquid leakage of the battery according to the multi-channel image data corresponding to the target surface. Since the image data of each channel can be used to indicate the liquid leakage of the target surface of the battery in the channel, the multi-channel image data in the embodiment of the present application can more clearly and completely indicate the liquid leakage of the target surface of the battery in different channels, and therefore the liquid leakage detection result of the target surface of the battery can be more accurately obtained according to the multi-channel image data, and the accuracy of the liquid leakage detection result is higher.

[0106] In some embodiments, FIG. 1 is a structural schematic diagram of a battery liquid leakage detection system provided by some embodiments of the present application. As shown in FIG. 1, the battery liquid leakage detection system of the embodiment of the present application can include but is not limited to: an image acquisition assembly 10, a light source assembly 11, and an industrial computer 12 (or can be referred to as a visual industrial computer) connected with the image acquisition assembly 10 and the light source assembly 11 respectively.

[0107] The light source assembly 11 in the embodiment of the present application can be directed to the target surface of the battery to be detected, and used to project target detection light to the target surface of the battery. The target surface of the battery can include but is not limited to at least one of the following: the top surface of the battery, the bottom surface of the battery, the main side surface (or referred to as the large side surface) of the battery, and the auxiliary side surface (or referred to as the small side surface) of the battery; the area of the main side surface of the battery is larger than that of the auxiliary side surface. For example, the light source assembly 11 can be directed to the main side surface of the battery, so that the target detection light can be projected to the main side surface of the battery; of course, the light source assembly 11 can also be directed to other required detection surfaces of the battery to be detected.

[0108] The target detection light involved in the embodiment of the present application can be the detection light that can reflect the defects of the target surface when irradiated on the target surface. For example, the target detection light can include but is not limited to sinusoidal fringe light or ring sector light. The ring sector light can refer to the light emitted by the different sector partitions of the ring light source being lit in turn.

[0109] The image acquisition component 10 in the embodiments of the present application can be arranged around the light source component 11, and is configured to acquire image data of the target surface of the battery and output multi-channel image data corresponding to the target surface.

[0110] The multi-channel image data involved in the embodiments of the present application can include, but is not limited to, at least one of the following: grayscale image data, depth image data, X-phase image data, Y-phase image data, diffuse reflection image data, gloss image data, black-and-white image data, 2D image data. The image data of each channel can be used to indicate the leakage condition of the target surface of the battery in the channel, that is, the multi-channel image data can be used to indicate the leakage condition of the target surface in multiple channels, and therefore, the multi-channel image data in the embodiments of the present application can more clearly and completely indicate the leakage condition of the target surface of the battery.

[0111] In a possible implementation manner, the image acquisition component 10 in the embodiments of the present application can include, but is not limited to, a plurality of data cameras, and different data cameras can be used to acquire image data of different channels.

[0112] In another possible implementation manner, the image acquisition component 10 in the embodiments of the present application can include, but is not limited to, a hybrid data camera, and the hybrid data camera can output multi-channel image data.

[0113] It should be understood that the hybrid data camera has different operation modes, and the operation modes of the hybrid data camera in the embodiments of the present application can include, but are not limited to, a phase deflection mode or a photometric stereo mode, so that multi-channel image data can be acquired. The phase deflection mode of the hybrid data camera is essentially a method for measuring the height of the object surface by using the principle of phase measurement deflection (PMD), thereby obtaining 2.5D image information. The photometric stereo mode of the hybrid data camera is a method for estimating the geometry of the object surface by using a plurality of light sources, which restores the geometry and reflection characteristics of the object surface by acquiring a plurality of object images illuminated by light sources in different directions (due to the change of the direction of the light source, different regions of the object surface will be illuminated to different degrees, thereby producing changes in brightness on the image).

[0114] In the implementation manner, the hybrid data camera can output multi-channel image data by using one camera, and therefore, the cost of the battery leakage detection system can be saved.

[0115] For example, the image acquisition component 10 can directly acquire image data of the target surface of the battery to output multi-channel image data corresponding to the target surface. The image acquisition component 10 directly acquiring image data of the target surface of the battery can mean that the image acquisition component 10 is directed to the target surface to acquire image data of the target surface.

[0116] In another example, the image acquisition component 10 can indirectly acquire the image data of the target surface of the battery to output the multi-channel image data corresponding to the target surface. In this case, the image acquisition component 10 indirectly acquiring the image data of the target surface of the battery can mean that the image acquisition component 10 can be directed towards an optical mirror that can reflect the image of the target surface to indirectly acquire the image data of the target surface.

[0117] Of course, the image acquisition component 10 can also acquire the image data of the target surface of the battery in other ways and output the multi-channel image data corresponding to the target surface.

[0118] It should be understood that the image acquisition component 10 and the light source component 11 in the embodiments of the present application can be referred to as an image detection mechanism, which can be used to detect the multi-channel image data corresponding to the target surface of the battery and send it to the industrial computer 12.

[0119] The industrial computer 12 in the embodiments of the present application can be used to acquire the multi-channel image data from the image acquisition component 10 and perform liquid leakage detection on the battery according to the multi-channel image data to obtain a liquid leakage detection result.

[0120] It should be understood that the image acquisition component 10 can send the multi-channel image data directly to the industrial computer 12, or can be forwarded to the industrial computer 12 through an intermediate device; of course, it can also be sent to the industrial computer in other ways, which is not limited in the embodiments of the present application.

[0121] It should be noted that in the embodiments of the present application, the image acquisition component 10 can send its own multi-channel image data to the industrial computer 12, so that the industrial computer 12 can directly acquire its own multi-channel image data, or can send address information for storing the multi-channel image data to the industrial computer 12, so that the industrial computer 12 can acquire its own multi-channel data based on the address information.

[0122] In a possible implementation, the industrial computer 12 can perform image fusion processing on part or all of the multi-channel image data corresponding to the target surface to obtain a target fusion image, and perform liquid leakage detection processing according to the target fusion image to obtain a liquid leakage detection result. The target fusion image can include but is not limited to a 2D image and / or a 2.5D image. Since the target fusion image is obtained by fusing multiple multi-channel image data, the target fusion image can provide more and richer liquid leakage conditions of the target surface.

[0123] For example, the industrial computer can perform image fusion processing on the grayscale image data, the depth image data, the X-phase image data and the Y-phase image data in the multi-channel image data corresponding to the target surface to obtain a target fusion image.

[0124] In another possible implementation, the industrial computer 12 can input the multi-channel image data corresponding to the target surface into the first preset liquid leakage detection model to obtain a liquid leakage detection result.

[0125] The first preset liquid leakage detection model involved in the embodiments of the present application can include, but is not limited to, a pre-trained artificial intelligence (AI) model (or referred to as a deep learning model, etc.). For example, the first preset liquid leakage detection model can include, but is not limited to, a YOLOV5 model, which is a high-efficiency and accurate target detection model.

[0126] It should be understood that, in the case that the image format of the obtained multi-channel image data does not conform to the preset format, the industrial computer can perform image format conversion on the obtained multi-channel image data corresponding to the target surface before performing liquid leakage detection on the battery according to the multi-channel image data corresponding to the target surface of the battery, so as to facilitate liquid leakage detection on the battery according to the converted multi-channel image data.

[0127] In the case that the image format of the obtained multi-channel image data conforms to the preset format, the industrial computer can directly perform liquid leakage detection on the battery according to the multi-channel image data corresponding to the target surface of the battery.

[0128] Of course, the industrial computer can also perform liquid leakage detection on the battery according to the multi-channel image data corresponding to the target surface of the battery in other manners.

[0129] Since the image data of each channel can be used to indicate the liquid leakage condition of the target surface of the battery in the channel, i.e., the multi-channel image data can be used to indicate the liquid leakage conditions of the target surface in multiple channels, the multi-channel image data in the embodiments of the present application can more clearly and completely indicate the liquid leakage conditions of the target surface of the battery in different channels, and therefore, the industrial computer can more accurately obtain the liquid leakage detection result of the target surface of the battery according to the multi-channel image data.

[0130] For example, the liquid leakage detection result in the embodiments of the present application can include, but is not limited to, whether there is a liquid leakage area on the target surface of the battery, and corresponding liquid leakage area information when there is a liquid leakage area, wherein the liquid leakage area information can include, but is not limited to, the position of the liquid leakage area and / or the size of the liquid leakage area.

[0131] In conclusion, the battery liquid leakage detection system in the embodiment of the present application can include an image acquisition component, a light source component, and an industrial computer connected with the image acquisition component and the light source component respectively. The light source component can be directed towards the target surface of the battery to be detected, and used to project target detection light to the target surface of the battery. The image acquisition component can be arranged around the light source component, and used to acquire image data of the target surface of the battery, and output multi-channel image data corresponding to the target surface. The industrial computer can be used to acquire the multi-channel image data from the image acquisition component, and perform liquid leakage detection on the battery according to the multi-channel image data, to obtain a liquid leakage detection result. It can be seen that, compared with the manual visual inspection method in the related art, the multi-channel image data corresponding to the target surface of the battery to be detected is acquired by the light source component and the image acquisition component in combination in the embodiment of the present application, so as to facilitate the industrial computer to perform liquid leakage detection on the battery according to the multi-channel image data corresponding to the target surface. Since the image data of each channel can be used to indicate the liquid leakage condition of the target surface of the battery in the channel, the multi-channel image data in the embodiment of the present application can more clearly and completely indicate the liquid leakage condition of the target surface of the battery in different channels, and therefore, the liquid leakage detection result of the target surface of the battery can be more accurately obtained according to the multi-channel image data, and the accuracy of the liquid leakage detection result is higher.

[0132] In some embodiments, on the basis of the above-mentioned embodiments, the present embodiment makes an exemplary introduction to the related content of "the industrial computer 12 performs liquid leakage detection on the battery according to the multi-channel image data, to obtain a liquid leakage detection result".

[0133] The industrial computer 12 in the embodiment of the present application can be specifically used for: performing image fusion processing on the multi-channel image data to obtain a target fusion image; and performing liquid leakage detection processing according to the target fusion image to obtain a liquid leakage detection result.

[0134] Exemplarily, the industrial computer 12 can perform image fusion processing on part or all of the multi-channel image data corresponding to the target surface to obtain a target fusion image.

[0135] In a possible implementation manner, the industrial computer 12 can be specifically used for: performing preset processing on the target fusion image to obtain a target binary image, and determining the liquid leakage detection result according to the target binary image; wherein the pixel value of the pixel point in the non-defect area of the target binary image is a first preset value, and the pixel value of the pixel point in the defect area of the target binary image is a second preset value, wherein the second preset value is greater than the first preset value.

[0136] For example, the pixel point in the defect area of the target binary image is a white pixel point, and the pixel point in the non-defect area is a black pixel point.

[0137] Exemplarily, the preset processing in the embodiments of the present application can include but is not limited to at least one of the following: image difference processing, filtering processing, and binarization processing.

[0138] In the embodiments of the present application, the industrial computer obtains a target binarization image by performing preset processing on the target fusion image, and determines the leakage detection result according to the target binarization image. Since the boundary between the defect area and the non-defect area in the target binarization image is obvious, the leakage detection result can be determined more accurately and quickly according to the target binarization image.

[0139] In another possible implementation, the industrial computer 12 can be specifically configured to: obtain the leakage detection result by inputting the target fusion image into a second preset leakage detection model.

[0140] The second preset leakage detection model involved in the embodiments of the present application can include but is not limited to a pre-trained AI model.

[0141] Of course, the industrial computer can also perform leakage detection processing on the target fusion image in other manners to obtain the leakage detection result.

[0142] In summary, in the embodiments of the present application, the industrial computer obtains a target fusion image by performing image fusion processing on the multi-channel image data, and further performs leakage detection processing on the target fusion image to obtain a leakage detection result. It can be seen that, in the embodiments of the present application, the target fusion image obtained by the fusion processing of the multi-channel image data is used for leakage detection processing. Since the target fusion image is an image obtained by the fusion of multi-channel image data, it can provide more and richer leakage conditions of the target surface. Therefore, the leakage detection processing on the target fusion image can further improve the accuracy of the leakage detection.

[0143] In some embodiments, FIG. 2 is a structural schematic diagram of a battery leakage detection system provided by another embodiment of the present application. On the basis of the above-mentioned embodiment, the present embodiment exemplarily introduces and describes the related content of the above-mentioned light source assembly 11. As shown in FIG. 2, the light source assembly 11 of the present embodiment can include but is not limited to a preset light source piece 110 arranged opposite to the target surface of the battery, so as to project target detection light to the target surface of the battery.

[0144] For example, the light source assembly 11 can be arranged opposite to the target surface of the battery in parallel, so that the target detection light can be projected onto the target surface of the battery in parallel. For another example, the light source assembly 11 can be arranged opposite to the target surface of the battery at a certain inclination angle, so that the target detection light can be projected onto the target surface of the battery at a certain inclination angle.

[0145] The preset light source 110 in the embodiments of the present application can be used to project target detection light to the target surface of the battery according to preset light emission setting parameters. The preset light emission setting parameters can be used to indicate the setting parameters of the target detection light emitted by the preset light source 110. For example, the preset light emission setting parameters can include, but are not limited to, light emission type and / or light emission period.

[0146] For example, in the case that the light emission type in the preset light emission setting parameters is a sine stripe light type, the target detection light projected by the preset light source 110 to the target surface of the battery can be a sine stripe light.

[0147] For another example, in the case that the light emission type in the preset light emission setting parameters is a ring sector light type, the target detection light projected by the preset light source 110 to the target surface of the battery can be a ring sector light.

[0148] It should be understood that the preset light source 110 can be a composite light source, which can emit different target detection light according to different preset light emission setting parameters. Alternatively, the preset light source 110 can be different independent light sources, which can emit corresponding target detection light according to preset light emission setting parameters.

[0149] In the embodiments of the present application, the preset light source 110 can make the detection light projected to the target surface more clearly reflect the defects of the target surface by projecting the target detection light to the target surface of the battery according to the preset light emission setting parameters, so that the image acquisition assembly 10 can acquire multi-channel image data that more clearly reflects the liquid leakage of the target surface.

[0150] In a possible implementation, as shown in FIG. 2, the light source assembly 11 can further include an optical mirror 111 arranged between the target surface of the battery and the preset light source 110. Correspondingly, the image acquisition assembly 10 can be arranged above the light source assembly 11, so that the image acquisition assembly 10 can indirectly acquire image data of the target surface of the battery through the optical mirror 111. The optical mirror 111 can include, but is not limited to, a half-mirror.

[0151] The preset light source 110 in the embodiments of the present application can be used to project target detection light to the target surface through the optical mirror 111 according to preset light emission setting parameters. The target detection light can include a sine stripe light. For example, the preset light source 110 can be a programmable screen light source, which can emit a sine stripe light according to preset light emission setting parameters. Of course, the preset light source 110 can also be other light sources that can emit a sine stripe light.

[0152] The image acquisition assembly 10 in the embodiments of the present application can be specifically used to acquire image data of the target surface of the battery through the optical mirror 111 and output corresponding multi-channel image data of the target surface.

[0153] It should be understood that, in the case that the target detection light is projected to the target surface of the battery, the target surface will reflect part of the target detection light (or simply referred to as reflected detection light) to the optical mirror 111, and the optical mirror 111 can reflect the reflected detection light reflected by the target surface back to the image acquisition assembly 10, so that the image acquisition assembly 10 can indirectly acquire the image data of the target surface of the battery by acquiring the reflected detection light reflected by the optical mirror 111, so as to obtain the multi-channel image data corresponding to the target surface.

[0154] For example, in the case that the preset light source 110 is a programmable screen light source and the image acquisition assembly 10 is a hybrid data camera, the running mode of the hybrid data camera can adopt a phase deflection mode, so as to obtain the multi-channel image data (or referred to as phase deflection effect diagram) corresponding to the target surface, so that the industrial computer can perform liquid leakage detection according to the phase deflection effect diagram corresponding to the target surface.

[0155] In the embodiment of the present application, the light source assembly can include a preset light source and an optical mirror, and the image acquisition assembly is arranged above the light source assembly. The preset light source can project sinusoidal fringe light to the target surface through the optical mirror according to the preset light emission setting parameter, so that the image acquisition assembly can acquire the image data of the target surface of the battery through the optical mirror, and output the multi-channel image data corresponding to the target surface. Since the multi-channel image data is the image data obtained under the irradiation of the sinusoidal fringe light, it can show the bright and dark conditions of the target surface under the irradiation of the sinusoidal fringe light, which is conducive to clearly showing the liquid leakage condition of the target surface, and therefore, the multi-channel image data corresponding to the target surface output by the embodiment of the present application is conducive to further improving the accuracy of liquid leakage detection.

[0156] In another possible implementation, as shown in FIG. 2, the light source assembly 11 can include but is not limited to a preset light source 110 arranged opposite to the target surface of the battery. Correspondingly, the image acquisition assembly 10 can be arranged opposite to the target surface of the battery, so that the image acquisition assembly 10 can directly acquire the image data of the target surface of the battery.

[0157] The preset light source 110 in the embodiment of the present application can be used to project target detection light to the target surface according to preset light emission setting parameters; wherein the target detection light can include annular sector light. For example, the preset light source 110 can be a partitioned multi-frequency flash light source, which can emit annular sector light of different sectors in sequence according to the preset light emission setting parameters; of course, the preset light source 110 can also be other light sources that can emit annular sector light.

[0158] The image acquisition component 10 and the preset light source 110 in the embodiments of the present application are arranged opposite to the target surface of the battery, and can directly acquire image data of the target surface of the battery to output multi-channel image data corresponding to the target surface.

[0159] For example, when the preset light source 110 is a partitioned multi-frequency flash light source and the image acquisition component 10 is a hybrid data camera, the operation mode of the hybrid data camera can adopt a photometric stereo mode, so that multi-channel image data (or a photometric stereo effect diagram) corresponding to the target surface can be obtained.

[0160] In the embodiments of the present application, the light source assembly can include a preset light source, and the image acquisition component is arranged opposite to the target surface of the battery. The preset light source can project annular sector light to the target surface according to preset light emission setting parameters, so that the image acquisition component can acquire image data of the target surface of the battery and output multi-channel image data corresponding to the target surface. Since the multi-channel image data is image data obtained under annular sector light irradiation, it can show the light and dark changes of the target surface under different degrees of illumination, which is conducive to clearly showing the liquid leakage of the target surface, and therefore, the multi-channel image data corresponding to the target surface output by the embodiments of the present application is conducive to further improving the accuracy of liquid leakage detection.

[0161] For the convenience of understanding, the following embodiments of the present application take the image acquisition component 10 including a hybrid data camera and the light source assembly 11 including a preset light source 110 (such as a programmable screen light source) and an optical mirror 111 as an example to exemplarily introduce and describe the related content of the image acquisition component 10 and the light source assembly 11.

[0162] FIG. 3 is a schematic diagram of the appearance structure of the image acquisition component and the light source assembly provided by some embodiments of the present application, and FIG. 4 is a schematic diagram of the internal structure of the image acquisition component and the light source assembly provided by some embodiments of the present application. As shown in FIGS. 3 and 4, the image acquisition component 10 can be a hybrid data camera, which can be arranged above the light source assembly 11 through a first mounting bracket 13. For example, the image acquisition component 10 can be concentrically mounted with the light source assembly 11. It should be noted that the image acquisition component 10 can move up and down on the first mounting bracket 13, so that the height of the image acquisition component 10 can be adjusted, thereby the image acquisition area of the image acquisition component 10 can be adjusted.

[0163] As shown in FIG. 3, the light source assembly 11 can be provided with a detection window W facing the target surface of the battery, so as to facilitate the transmission of detection light.

[0164] As shown in FIG. 4, the light source assembly 11 can include a programmable screen light source 110 and an optical mirror 111, where the optical mirror 111 can be a half-mirror. The programmable screen light source 110 can project target detection light, which passes through the optical mirror 111 to irradiate the target surface of the battery to be detected. In the case where the target detection light is projected on the target surface of the battery, the target surface will reflect part of the target detection light (or simply referred to as reflected detection light) to the optical mirror 111, and the optical mirror 111 can reflect the reflected detection light reflected by the target surface back to the image acquisition assembly 10, so that the image acquisition assembly 10 can indirectly acquire the image data of the target surface of the battery by acquiring the reflected detection light reflected by the optical mirror 111, to obtain the multi-channel image data corresponding to the target surface, so that the industrial computer 12 can detect the defects (such as liquid leakage detection) of the mirror surface or mirror-like surface object based on the multi-channel image data.

[0165] It should be understood that in the case where the preset light source 110 is a partitioned multi-frequency flash light source, the optical mirror 111 in FIG. 4 can be omitted, and the image acquisition assembly 10 can be arranged towards the target surface of the battery.

[0166] In some embodiments, on the basis of the above embodiments, considering that there can be liquid leakage on the surfaces of the battery to be detected, in order to improve the liquid leakage detection efficiency, in the embodiments of the present application, the battery liquid leakage detection system can include different image detection mechanisms (which can include but are not limited to image acquisition assemblies and light source assemblies) for different target surfaces of the battery, where the different image detection mechanisms can be used to detect the multi-channel image data of the different target surfaces of the battery to be detected, so that the industrial computer can respectively detect the liquid leakage of the different target surfaces of the battery according to the multi-channel image data of the different target surfaces of the battery, to obtain the liquid leakage detection results of the different target surfaces of the battery. Wherein, the liquid leakage detection result of any target surface of the battery can include but is not limited to whether there is a liquid leakage area on the target surface of the battery, and the corresponding liquid leakage area information when there is a liquid leakage area.

[0167] For ease of understanding, in the embodiments of the present application, the battery liquid leakage detection system is taken as an example to illustrate the related content of the battery liquid leakage detection system, which is symmetrically arranged.

[0168] In some embodiments, FIG. 5 is a structural schematic diagram of a battery liquid leakage detection system provided by some embodiments of the present application. As shown in FIG. 5, the battery liquid leakage detection system can include a first image detection mechanism T1 and a second image detection mechanism T2 arranged symmetrically. The first image detection mechanism T1 can include a first image acquisition component T1_10 and a first light source component T1_11, and the second image detection mechanism T2 can include a second image acquisition component T2_10 and a second light source component T2_11. The first image acquisition component T1_10 can be arranged around the first light source component T1_11, and the second image acquisition component T2_10 can be arranged around the second light source component T2_11.

[0169] The first light source component T1_11 in the embodiments of the present application can be directed towards a first target surface S1 of a battery to be detected, for projecting a first target detection light towards the first target surface S1 of the battery.

[0170] The second light source component T2_11 in the embodiments of the present application can be directed towards a second target surface S2 of the battery to be detected, for projecting a second target detection light towards the second target surface S2 of the battery. The first target surface S1 and the second target surface S2 can be two surfaces arranged symmetrically in the battery. It should be understood that the first target surface S1 and the second target surface S2 are illustrated as two main sides of the battery in FIG. 5. It should be noted that the first target surface S1 and the second target surface S2 can also be two surfaces arranged asymmetrically.

[0171] It should be noted that the implementation of the first light source component T1_11 and the second light source component T2_11 in the embodiments of the present application can refer to the related content of the light source component 11 described in the above embodiments, which will not be described here.

[0172] The first image acquisition component T1_10 in the embodiments of the present application can be used to acquire image data of the first target surface S1 of the battery, and output multi-channel image data corresponding to the first target surface S1.

[0173] The second image acquisition component T2_10 in the embodiments of the present application can be used to acquire image data of the second target surface S2 of the battery, and output multi-channel image data corresponding to the second target surface S2.

[0174] It should be noted that the implementation of the first image acquisition component T1_10 and the second image acquisition component T2_10 in the embodiments of the present application can refer to the related content of the image acquisition component 10 described in the above embodiments, which will not be described here.

[0175] The industrial computer 12 in the embodiments of the present application can be used to perform liquid leakage detection on the battery according to the obtained multi-channel image data corresponding to the first target surface S1 and the multi-channel image data corresponding to the second target surface S2, and obtain a liquid leakage detection result.

[0176] For example, the industrial computer 12 can perform liquid leakage detection on the first target surface S1 of the battery according to the multi-channel image data corresponding to the first target surface S1, and obtain a liquid leakage detection result of the first target surface S1, and perform liquid leakage detection on the second target surface S2 of the battery according to the multi-channel image data corresponding to the second target surface S2, and obtain a liquid leakage detection result of the second target surface S2.

[0177] It should be noted that the implementation of the industrial computer 12 performing liquid leakage detection on the target surface of the battery according to the multi-channel image data corresponding to the target surface to obtain a liquid leakage detection result of the target surface can refer to the related content in the above embodiments, which will not be described here.

[0178] It should be understood that in the embodiments of the present application, the two image detection mechanisms arranged symmetrically can synchronously detect the multi-channel image data of different target surfaces of the battery, which is beneficial to improve the liquid leakage detection efficiency.

[0179] In summary, in the embodiments of the present application, the battery liquid leakage detection system comprises the first image detection mechanism and the second image detection mechanism arranged symmetrically, the first image detection mechanism is used to obtain the multi-channel image data corresponding to the first target surface of the battery, and the second image detection mechanism is used to obtain the multi-channel image data corresponding to the second target surface of the battery, so that the industrial computer can perform liquid leakage detection on different target surfaces of the battery according to the multi-channel image data of different target surfaces of the battery. It can be seen that the symmetric liquid leakage detection method in the embodiments of the present application is beneficial to improve the liquid leakage detection efficiency.

[0180] In some embodiments, on the basis of the above embodiments, considering that the image acquisition area of the image acquisition component in the image detection mechanism is limited, in the case that the image acquisition area of the image acquisition component cannot cover all areas of the target surface of the battery, the battery liquid leakage detection system in the embodiments of the present application can comprise a plurality of image detection mechanisms arranged side by side, wherein different image detection mechanisms can be used to detect the multi-channel image data of different areas of the target surface of the battery to be detected, so that the industrial computer can perform liquid leakage detection on different areas of the target surface of the battery according to the multi-channel image data of different areas respectively, to obtain the liquid leakage detection results of different areas of the target surface, thereby further improving the accuracy of liquid leakage detection.

[0181] It should be understood that the image acquisition regions corresponding to different image detection mechanisms can be different, but there can be some overlap between the image acquisition regions corresponding to adjacent image detection mechanisms.

[0182] For ease of understanding, in the embodiments of the present application, the battery liquid leakage detection system includes two image detection mechanisms arranged side by side as an example, and the related content of the battery liquid leakage detection system is exemplarily introduced and described.

[0183] In some embodiments, FIG. 6 is a structural schematic diagram of a battery liquid leakage detection system provided by another embodiment of the present application, as shown in FIG. 6, the battery liquid leakage detection system can include a third image detection mechanism T3 and a fourth image detection mechanism T4 arranged side by side. Wherein, the third image detection mechanism T3 can include a third image acquisition component T3_10 and a third light source component T3_11, and the fourth image detection mechanism includes a fourth image acquisition component T4_10 and a fourth light source component T4_11. Wherein, the third image acquisition component T3_10 can be arranged around the third light source component T3_11, and the fourth image acquisition component T4_10 can be arranged around the fourth light source component T4_11.

[0184] The third light source component T3_11 in the embodiments of the present application can be directed to a first region P1 of the target surface of the battery to be detected, for projecting third target detection light to the first region P1 of the target surface of the battery.

[0185] The fourth light source component T4_11 in the embodiments of the present application can be directed to a second region P2 of the target surface of the battery to be detected, for projecting fourth target detection light to the second region P2 of the target surface of the battery; wherein, the first region P1 and the second region P2 can be different regions of the target surface along the length direction. It should be understood that in FIG. 6, the main side of the battery can be used as the target surface. It should be noted that the first region P1 and the second region P2 can also be different regions of the target surface divided along the length direction. For example, the target surface is evenly divided into two regions along the length direction, one region is the first region P1, and the other region is the second region P2.

[0186] It should be noted that the third light source component T3_11 and the fourth light source component T4_11 in the embodiments of the present application can be implemented in the manner as described above with reference to the related content of the light source component 11, which will not be described here.

[0187] The third image acquisition component T3_10 in the embodiments of the present application can be used to acquire image data of the first region P1 of the target surface, and output multi-channel image data corresponding to the first region P1 of the target surface.

[0188] The fourth image acquisition component T4_10 in the embodiment of the present application can be used to acquire image data of the second region P2 of the target surface, and output multi-channel image data corresponding to the second region P2 of the target surface.

[0189] It should be noted that the implementation of the third image acquisition component T3_10 and the fourth image acquisition component T4_10 in the embodiment of the present application can refer to the related content of the image acquisition component 10 involved in the above embodiments, which will not be repeated here.

[0190] The industrial computer 12 in the embodiment of the present application can be used to perform liquid leakage detection on the battery according to the multi-channel image data corresponding to the first region P1 of the target surface and the multi-channel image data corresponding to the second region P2 of the target surface, and obtain a liquid leakage detection result.

[0191] For example, the industrial computer 12 can perform liquid leakage detection on the first region P1 of the target surface of the battery according to the multi-channel image data corresponding to the first region P1 of the target surface, and obtain a liquid leakage detection result of the first region P1 of the target surface, and perform liquid leakage detection on the second region P2 of the target surface of the battery according to the multi-channel image data corresponding to the second region P2 of the target surface, and obtain a liquid leakage detection result of the second region P2 of the target surface.

[0192] It should be noted that the implementation of the industrial computer 12 performing liquid leakage detection on the region of the target surface of the battery according to the multi-channel image data corresponding to the region of the target surface, and obtaining a liquid leakage detection result of the region of the target surface, can refer to the related content of the industrial computer 12 performing liquid leakage detection on the target surface of the battery according to the multi-channel image data of the target surface in the above embodiments, which will not be repeated here.

[0193] It should be understood that in the embodiment of the present application, the two image detection mechanisms arranged side by side can synchronously detect the multi-channel image data of different regions of the target surface of the battery, which is beneficial to improve the liquid leakage detection efficiency.

[0194] In summary, in the embodiment of the present application, the battery liquid leakage detection system comprises the third image detection mechanism and the fourth image detection mechanism arranged side by side, the third image detection mechanism is used to acquire multi-channel image data corresponding to the first region of the target surface of the battery, and the fourth image detection mechanism is used to acquire multi-channel image data corresponding to the second region of the target surface of the battery, so that the industrial computer can perform liquid leakage detection on different regions of the target surface of the battery according to the multi-channel image data of different regions of the target surface. It can be seen that the embodiment of the present application adopts the method of regional liquid leakage detection, which is beneficial to further improve the accuracy of liquid leakage detection.

[0195] It should be noted that the side-by-side arrangement of the image detection mechanism in the above embodiments of the present application can be combined with each other.

[0196] In some embodiments, on the basis of the above embodiments, considering that there are many preparation detection procedures in the battery preparation process, in order to facilitate the improvement of the battery preparation detection efficiency, the battery to be detected can be transmitted through the transmission track, so that the battery to be detected can be transmitted from the liquid leakage detection procedure to the next preparation detection procedure (such as the film wrapping procedure) according to the preset transmission route (or logistics line).

[0197] FIG. 7 is a structural schematic diagram of a battery liquid leakage detection system according to some embodiments of the present application. As shown in FIG. 7, the battery liquid leakage detection system can further include a transmission track 14, a containing assembly 15, and a driving assembly 16 (or referred to as a first driving assembly).

[0198] For example, the image acquisition assembly 10 and the light source assembly 11 can be arranged around the transmission track 14, so that the light source assembly 11 can be directed towards the target surface of the battery to be detected to project the target detection light onto the target surface of the battery, and the image acquisition assembly 10 can acquire the image data of the target surface of the battery and output the corresponding multi-channel image data of the target surface.

[0199] The transmission track 14 in the embodiments of the present application can be used to move the battery to be detected from the liquid leakage detection position to the film wrapping position, so that the film wrapping procedure can be performed on the battery to be detected at the film wrapping position.

[0200] It should be noted that when the next preparation detection procedure of the liquid leakage detection procedure is not the film wrapping procedure, the transmission track 14 can move the battery to be detected from the liquid leakage detection position to the position corresponding to the corresponding preparation detection procedure.

[0201] The containing assembly 15 in the embodiments of the present application can be arranged on the transmission track 14 and used to carry the battery to be detected. For example, the containing assembly 15 can include but is not limited to a tray; of course, it can also be other forms of containing assemblies.

[0202] It should be understood that the target surface of the battery can be directed towards a direction perpendicular to the extension direction of the transmission track, so that the light source assembly 11 arranged around the transmission track 14 can be directed towards the target surface of the battery to be detected to project the target detection light onto the target surface of the battery.

[0203] The driving assembly 16 in the embodiments of the present application can be connected with the transmission track 14 or the containing assembly 15 to drive the containing assembly 15 to move along the transmission track, so that the battery in the containing assembly 15 can move along the transmission route.

[0204] Exemplarily, any driving assembly involved in the embodiments of the present application can include but is not limited to a motor.

[0205] For example, the driving assembly can be connected with the transmission track 14, and move the transmission track 14 to drive the containing assembly 15 to move along the transmission track 14. For another example, the driving assembly can be connected with the containing assembly 15, and move the containing assembly 15 to drive the containing assembly 15 to move along the transmission track 14.

[0206] Of course, the driving assembly can also drive the containing assembly 15 to move along the transmission track 14 in other ways.

[0207] In summary, the battery liquid leakage detection system in the embodiments of the present application can also include a transmission track, a containing assembly arranged on the transmission track and used for carrying a battery to be detected, and a driving assembly connected with the transmission track or the containing assembly. The driving assembly can drive the containing assembly to move along the transmission track, so as to move the battery to be detected from the liquid leakage detection position to the envelope position. It can be seen that, in the embodiments of the present application, the combination of the transmission track, the containing assembly and the driving assembly can realize the intelligent transportation of the battery to be detected along a preset transmission line, so that the liquid leakage detection can be performed on different batteries to be detected in sequence, thereby facilitating the improvement of the liquid leakage detection efficiency.

[0208] In some embodiments, on the basis of the above-mentioned embodiments, considering the linkage control of the driving assembly and / or the image acquisition assembly, as shown in FIG. 7, the battery liquid leakage detection system in the embodiments of the present application can also include a control device 17 connected with the driving assembly 16 and the image acquisition assembly 10 respectively. Exemplarily, the control device can include but is not limited to a programmable logic controller (PLC) device.

[0209] The control device 17 in the embodiments of the present application can be used to control the driving assembly 16 to drive the containing assembly 15 to move along the transmission track 14 to the corresponding liquid leakage detection position, and control the image acquisition assembly 10 to detect the multi-channel image data corresponding to the target surface of the battery.

[0210] Exemplarily, the control device 17 can control the driving assembly 16 to drive the containing assembly 15 to move along the transmission track 14 to the corresponding liquid leakage detection position, and in the case that the containing assembly 15 moves to the corresponding liquid leakage detection position, the control device 17 can control the image acquisition assembly 10 to detect the multi-channel image data corresponding to the target surface of the battery in the containing assembly 15.

[0211] For example, by means that the position positioning component can be arranged at the corresponding liquid leakage detection position of the image acquisition component 10, when the containing component 15 moves to the corresponding liquid leakage detection position, the position positioning component can send the arrival indication information to the control device, so that the control device can control the driving component 16 to stop driving the containing component 15 to move along the transmission track 14, and control the image acquisition component 10 to detect the multi-channel image data corresponding to the target surface of the battery. Wherein, the position positioning component can include but not limited to a position sensor.

[0212] Of course, the control device can also determine whether the containing component 15 moves to the corresponding liquid leakage detection position by other means.

[0213] It should be understood that in the case of symmetrically arranging the corresponding image detection mechanism on both sides of the transmission track of the battery, when the control device determines that the containing component 15 moves to the liquid leakage detection position corresponding to the symmetrically arranged image detection mechanism, the control device can control the symmetrically arranged image detection mechanism to respectively detect the multi-channel image data corresponding to the corresponding target surface.

[0214] In the case of arranging a plurality of image detection mechanisms along the transmission track of the battery, when the control device determines that the containing component 15 moves to the liquid leakage detection position corresponding to a certain image detection mechanism, the control device can control the corresponding image detection mechanism to detect the multi-channel image data of the corresponding region of the corresponding target surface.

[0215] In summary, in the embodiment of the present application, the battery liquid leakage detection system is provided with a control device connected with the driving component and the image acquisition component respectively, wherein the control device can control the driving component to drive the containing component to move along the transmission track to the corresponding liquid leakage detection position, and control the image acquisition component to detect the multi-channel image data corresponding to the target surface of the battery. It can be seen that in the embodiment of the present application, the control device can realize the linkage control of the driving component and the image acquisition component, which can improve the control flexibility of the battery liquid leakage detection system, thereby facilitating the improvement of the efficiency of liquid leakage detection.

[0216] In some embodiments, on the basis of the above-mentioned embodiments, as shown in FIG. 7, the control device 17 of the embodiment of the present application can also be connected with the industrial computer 12, and the control device 17 can be further used for: receiving the liquid leakage detection result sent by the industrial computer 12, and determining whether the battery to be detected meets the preset production requirement according to the comparison between the liquid leakage detection result and the preset defect condition. Wherein, the preset defect condition can be used to indicate a plurality of preset liquid leakage defect conditions that do not meet the preset production requirement.

[0217] For example, the liquid leakage detection result in the embodiment of the present application can include but not limited to whether there is a liquid leakage area on the target surface of the battery, and the corresponding liquid leakage area information when there is a liquid leakage area.

[0218] For example, if the leakage area information of the target surface of the battery indicated by the leakage detection result matches the leakage area information corresponding to a preset leakage defect condition, the control device can determine that the battery does not meet the preset production requirement. If the leakage area information of the target surface of the battery indicated by the detection result does not match the leakage area information corresponding to all preset leakage defect conditions, the control device can determine that the battery meets the preset production requirement.

[0219] It can be seen that, in the embodiments of the present application, the control device determines whether the battery to be detected meets the preset production requirement by comparing the leakage detection result with the preset defect condition, so that when it is determined that the battery does not meet the preset production requirement, the preset operation can be performed in time, thereby alleviating the situation of rework due to the battery not meeting the production requirement, and improving the production efficiency of the battery. The preset operation can include but is not limited to outputting a leakage alarm prompt information or controlling the screening mechanism in the battery leakage detection system to move the battery to a preset waste area. For example, the leakage alarm prompt information can include but is not limited to sound alarm prompt information and / or light alarm prompt information.

[0220] It should be noted that, in the embodiments of the present application, the industrial computer 12 can also compare the leakage detection result with the preset defect condition to determine whether the battery to be detected meets the preset production requirement, and send the leakage detection result to the control device, wherein the leakage detection result can also be used to indicate whether the battery meets the preset production requirement. It should be understood that if the leakage detection result indicates that the battery meets the preset production requirement, the leakage detection result can also be referred to as OK result; if the leakage detection result indicates that the battery does not meet the preset production requirement, the leakage detection result can also be referred to as NG result.

[0221] In some embodiments, on the basis of the above-mentioned embodiments, in order to facilitate understanding, the overall structure of the battery leakage detection system is exemplarily introduced and described by taking the example of symmetrically arranging the image detection mechanism in combination with the transmission track, the containing assembly and the image detection mechanism in the embodiments of the present application.

[0222] FIG. 8 is a perspective view of a battery liquid leakage detection system according to some embodiments of the present application, FIG. 9 is a front view of the battery liquid leakage detection system according to some embodiments of the present application, and FIG. 10 is a top view of the battery liquid leakage detection system according to some embodiments of the present application. As shown in FIGS. 8-10, the battery liquid leakage detection system can include, but is not limited to, a transmission track 14, a containing assembly 15, and two image detection mechanisms T disposed on opposite sides, wherein each image detection mechanism T can include, but is not limited to, an image acquisition assembly 10 and a light source assembly 11. The containing assembly 15 can be disposed on the transmission track 14 to carry the battery to be detected. The transmission track 14 can be symmetrically provided with two image detection mechanisms T on both sides, so that the light source assembly 11 in each image detection mechanism T can face the target surface of the battery to be detected to project target detection light onto the target surface of the battery, and the image acquisition assembly 10 in the image detection mechanism T can acquire image data of the target surface of the battery and output multi-channel image data corresponding to the target surface.

[0223] In some embodiments, based on the above-mentioned embodiments, in order to screen out batteries that do not meet the preset production requirements, the control device can control the screening mechanism to move the battery to a preset waste area when it is determined that the battery does not meet the preset production requirements. The preset waste area can be used to store batteries that do not meet the preset production requirements. For example, the preset waste area can include, but is not limited to, a waste box disposed around the transmission track 14 of the battery.

[0224] As shown in FIGS. 8 and 9, the battery liquid leakage detection system according to some embodiments of the present application can further include a sliding track 18, a cantilever 19, and a grabbing assembly 20.

[0225] The sliding track 18 according to some embodiments of the present application can be disposed above the transmission track 14 through a support frame, and the leading end of the cantilever 19 can be movably disposed on the sliding track 18, so that the position of the cantilever 19 can be flexibly moved. The extension direction of the sliding track 18 can be perpendicular to the extension direction of the transmission track 14.

[0226] The grabbing assembly 20 according to some embodiments of the present application can be disposed at the trailing end of the cantilever 19, so that it can move along with the cantilever 19.

[0227] The control device according to some embodiments of the present application can be specifically used to control the cantilever 19 to move above the battery to be detected along the sliding track 18 and control the grabbing assembly 20 to grab the battery along the extension direction of the cantilever 19 to move the battery to the preset waste area 21 disposed around the transmission track 14 when it is determined that the battery to be detected does not meet the preset production requirements.

[0228] For example, the control device can control the cantilever 19 to move along the sliding track 18 by controlling a second driving assembly (not shown in the figure) connected with the cantilever 19 or the sliding track 18.

[0229] For example, the second driving assembly can be connected with the cantilever 19 to drive the cantilever 19 to move along the sliding track 18. For another example, the second driving assembly can be connected with the sliding track 18 to drive the sliding track 18 to move so as to drive the cantilever 19 to move along the sliding track 18.

[0230] Of course, the control device can also control the cantilever 19 to move along the sliding track 18 in other ways.

[0231] For example, the control device can control the grabbing assembly 20 to grab the battery along the extension direction of the cantilever 19 by controlling a third driving assembly (not shown in the figure) connected with the grabbing assembly 20.

[0232] Of course, the control device can also control the grabbing assembly 20 to grab the battery along the extension direction of the cantilever 19 in other ways.

[0233] It should be understood that the control device can also be used to control the transmission track 14 to continue to transmit the battery to a liquid leakage detection position corresponding to a next image detection mechanism or a next preparation detection process in a case where it is determined that the battery meets the preset production requirements.

[0234] In summary, the battery liquid leakage detection system provided by the embodiments of the present application can further include a sliding track, a cantilever and a grabbing assembly arranged above the transmission track. The sliding track is arranged above the transmission track by a support frame, the cantilever has a movable first end arranged on the sliding track, and the grabbing assembly is arranged at a terminal end of the cantilever. In a case where it is determined that the battery to be detected does not meet the preset production requirements, the control device can control the cantilever to move above the battery along the sliding track and control the grabbing assembly to grab the battery along the extension direction of the cantilever so as to move the battery to a preset waste area, so that the batteries that do not meet the preset production requirements can be flexibly screened out, so that the batteries that meet the preset production requirements can be transmitted to a next preparation detection process, and the situation that the batteries do not meet the production requirements and need to be returned to a previous process can be alleviated, thereby facilitating the production efficiency of the batteries.

[0235] In some embodiments, FIG. 11 is a schematic diagram of a battery liquid leakage detection system provided by some embodiments of the present application. As shown in FIG. 11, the battery liquid leakage detection system Sys provided by the embodiments of the present application can include but is not limited to a transmission mechanism Tra, an image detection mechanism T, an industrial computer 12, a control device 17 and a screening mechanism Scr.

[0236] Exemplarily, the industrial computer 12 in the embodiment of the present application can be provided with at least one of the following: preset liquid leakage detection software, preset light source setting software, and a manufacturing enterprise production process execution system (MES). The preset liquid leakage detection software can be used for detecting liquid leakage of the battery according to the multi-channel image data corresponding to the target surface of the battery; the preset light source setting software can be used for setting the light emission setting parameters (for example, light emission type and / or light emission period, etc.) in the light source assembly 11; and the MES can include, but is not limited to, production record information of each battery.

[0237] Exemplarily, the transmission mechanism Tra can include, but is not limited to, a transmission track 14, a containing assembly 15, and a first driving assembly 16. The image detection mechanism T can include, but is not limited to, the image acquisition assembly 10 and the light source assembly 11. The screening mechanism Scr can include, but is not limited to, a sliding track 18, a cantilever 19, and a grabbing assembly 20.

[0238] In combination with FIGS. 8 and 9, the light source assembly 11 in the embodiment of the present application can be arranged around the sliding track 18 through a second mounting bracket (not shown in FIGS. 8 and 9), so that the light source assembly 11 can be arranged opposite to the target surface of the battery.

[0239] It should be noted that the image acquisition assembly 10 in the embodiment of the present application has a wide precision compatible range, a wide field of view compatible range, and a higher detection requirement compatible requirement. In order to meet the liquid leakage detection requirement, the XY direction precision of the image acquisition assembly 10 in the embodiment of the present application needs to reach at least 0.009 mm. In addition, in order to meet the compatibility requirement of different sizes of batteries, the image acquisition assembly 10 in the embodiment of the present application is designed to move the battery and can be detected in one or more times.

[0240] In the embodiment of the present application, through the single-station battery incoming material mode, although the detection space reserved for the image detection mechanism is limited, the occupied volume is small through the simultaneous acquisition of two main side surfaces, and the space requirement can be met.

[0241] For example, for the requirement of liquid leakage detection precision height ≥ 0.1 mm and liquid leakage detection area ≥ 0.25 mm 2 , the XY direction precision of the image acquisition assembly 10 in the embodiment of the present application needs to reach 0.009 mm.

[0242] For another example, for the requirement of liquid leakage defect detection and the requirement of 15 mm below the top cover surface of the battery in the production line, the field of view size of the image acquisition assembly 10 in the embodiment of the present application needs to reach at least 50*30 mm.

[0243] It should be noted that the related content of each component in the embodiments of the present application can refer to the related content in the above embodiments, which will not be described here.

[0244] In some embodiments, on the basis of the above embodiments, for the convenience of understanding, the setting mode of the image detection mechanism is exemplarily introduced and described in the embodiments of the present application by taking the mode of combining the transmission track 14 and setting the image detection mechanism on the side as an example and the mode of setting the image detection mechanism side by side as an example.

[0245] FIG. 12 is a schematic diagram of the setting mode of the image detection mechanism provided by the embodiments of the present application. As shown in FIG. 12, n sets of symmetrical image detection mechanisms T can be arranged along the transmission track 14, wherein different image detection mechanisms T can be respectively used to detect the multi-channel image data of the corresponding region of the target surface of the corresponding battery Bat. Exemplarily, the control device can control the first driving assembly in the transmission mechanism to drive the battery-carrying assembly 15 to move along the transmission track 14. When the control device determines that the battery-carrying assembly 15 moves to the liquid leakage detection position corresponding to the image detection mechanism T, the control device can control the first driving assembly to stop running, control the image detection mechanism T corresponding to the liquid leakage detection position to detect the multi-channel image data of the corresponding region in the corresponding target surface, and send the multi-channel image data to the industrial computer 12.

[0246] It should be understood that, when the battery Bat moves to the liquid leakage detection position 1 of the first set of symmetrical image detection mechanisms T, the multi-channel image data of the corresponding region of the corresponding target surface can be detected by the first set of symmetrical image detection mechanisms T; when the battery Bat moves to the liquid leakage detection position 2 of the second set of symmetrical image detection mechanisms T, the multi-channel image data of the corresponding region of the corresponding target surface can be detected by the second set of symmetrical image detection mechanisms T; when the battery Bat moves to the liquid leakage detection position n of the n th set of symmetrical image detection mechanisms T, the multi-channel image data of the corresponding region of the corresponding target surface can be detected by the n th set of symmetrical image detection mechanisms T, wherein n can be an integer greater than 2.

[0247] For example, when the control device determines that the battery-carrying assembly 15 moves to the liquid leakage detection position 1 corresponding to the first set of image detection mechanisms T, the control device can control the first driving assembly to stop running and control the first set of image detection mechanisms T to detect the multi-channel image data of the corresponding region in the corresponding target surface.

[0248] Further, the industrial computer 12 can perform liquid leakage detection on the battery according to the multi-channel image data, obtain a liquid leakage detection result, and send the liquid leakage detection result to the control device.

[0249] Further, the control device determines whether the battery meets the preset production requirement according to the liquid leakage detection result. It should be understood that if it is determined that the battery meets the preset production requirement, the liquid leakage detection result can also be referred to as an OK result; if it is determined that the battery does not meet the preset production requirement, the liquid leakage detection result can also be referred to as an NG result.

[0250] If it is determined that the battery meets the preset production requirement, the control device controls the first driving assembly in the conveying mechanism to drive the containing assembly 15 carrying the battery to continue to move along the conveying track 14 until the containing assembly 15 moves to a liquid leakage detection position corresponding to the next image detection mechanism T or moves to the next preparation detection process. It should be noted that in the case where the containing assembly 15 moves to the liquid leakage detection position corresponding to the next image detection mechanism T, the liquid leakage detection process can be referred to in the above-mentioned embodiments, which will not be described here.

[0251] If it is determined that the battery does not meet the preset production requirement, the control device can control the screening mechanism to move the battery to a preset waste area.

[0252] It should be noted that the industrial computer 12 can also obtain the multi-channel image data detected by all the image detection mechanisms T, and perform liquid leakage detection on the battery according to the multi-channel image data of each image detection mechanism T to obtain the corresponding liquid leakage detection result.

[0253] In summary, in the embodiment of the present application, before the battery is subjected to the blue film wrapping process, the multi-channel image data of the corresponding region in the target surface of the battery can be detected by the image detection mechanism, and the liquid leakage of the battery can be detected in combination with the machine vision algorithm. In addition, the battery liquid leakage detection process of the embodiment of the present application can form an effective standardized process, which is conducive to improving the stability and consistency of the liquid leakage detection.

[0254] For example, in the case where the target surface is the main side surface of the battery, the present application can detect the electrolyte leakage defect in the region below a preset length from the top cover weld (the defect size can be: N*N mm 2 , and the detection accuracy length can be greater than or equal to a preset accuracy), wherein the preset length can include but is not limited to 15 mm, N can include but is not limited to 2, and the preset accuracy can include but is not limited to 2 mm.

[0255] For ease of understanding, the steps of the battery liquid leakage detection process CT and the corresponding time consumption in the following embodiments of the present application are exemplarily introduced.

[0256] Table 1 is a schematic table of the battery liquid leakage detection process CT provided by the embodiment of the present application.

[0257]

[0258] Table 1 is a schematic table of the battery liquid leakage detection process CT provided by the embodiment of the application. As shown in Table 1, the process starts from the control device controlling the image acquisition assembly to acquire the multi-channel image data corresponding to the target surface of the battery, and ends when the control device performs the OK action or the NG action. The process with a relatively long time consumption is the leakage detection processing process performed by the industrial computer, and the total cumulative time length can be 270 ms to 300 ms. It can be seen that the efficiency of the battery liquid leakage detection process of the embodiment of the application is relatively high.

[0259] In some embodiments, FIG. 13 is a flowchart of a battery liquid leakage detection method provided by some embodiments of the application. In the embodiment of the application, the method is applied to the industrial computer in the battery liquid leakage detection system described above. In the embodiment of the application, the related content of the battery liquid leakage detection system can be referred to the related content of the above-mentioned embodiments, which will not be described here. As shown in FIG. 13, the method of the embodiment of the application can include the following steps:

[0260] In step S1301, the industrial computer acquires the multi-channel image data corresponding to the target surface of the battery to be detected from the image acquisition assembly in the battery liquid leakage detection system.

[0261] In this step, the industrial computer can acquire the multi-channel image data corresponding to the target surface of the battery detected by the image detection mechanism in the battery liquid leakage detection system.

[0262] In one possible implementation, the industrial computer can receive the multi-channel image data corresponding to the target surface of the battery sent by the image acquisition assembly or the intermediate device.

[0263] In another possible implementation, the industrial computer can receive the address information for storing the multi-channel image data sent by the image acquisition assembly or the intermediate device, and acquire the multi-channel image data corresponding to the target surface of the battery according to the address information.

[0264] Of course, the industrial computer can also acquire the multi-channel image data corresponding to the target surface of the battery to be detected by other ways.

[0265] In step S1302, the industrial computer performs liquid leakage detection on the battery according to the multi-channel image data, and obtains a liquid leakage detection result.

[0266] In this step, the industrial computer can perform liquid leakage detection on the battery according to the multi-channel image data corresponding to the target surface of the battery, and obtain a liquid leakage detection result.

[0267] In a possible implementation, the industrial computer can perform image fusion processing on part or all of the multi-channel image data corresponding to the target surface to obtain a target fusion image, and perform liquid leakage detection processing on the target fusion image according to a preset liquid leakage detection processing to obtain a liquid leakage detection result. The target fusion image can include, but is not limited to, a 2D image and / or a 2.5D image, and can provide more and richer liquid leakage conditions.

[0268] For example, the industrial computer can perform image fusion processing on the gray image data, the depth image data, the X-phase image data, and the Y-phase image data in the multi-channel image data corresponding to the target surface to obtain the target fusion image.

[0269] In another possible implementation, the industrial computer can input the multi-channel image data corresponding to the target surface into a first preset liquid leakage detection model to obtain the liquid leakage detection result.

[0270] Of course, the industrial computer can also perform liquid leakage detection on the battery in other manners according to the multi-channel image data corresponding to the target surface of the battery.

[0271] Since the image data of each channel can be used to indicate the liquid leakage condition of the target surface of the battery in the channel, that is, the multi-channel image data can be used to indicate the liquid leakage condition of the target surface in multiple channels, the multi-channel image data corresponding to the target surface in the embodiment of the present application can more clearly and completely indicate the liquid leakage condition of the target surface of the battery, and therefore, the industrial computer can more accurately obtain the liquid leakage detection result of the target surface of the battery according to the multi-channel image data.

[0272] To sum up, in the embodiment of the present application, the industrial computer obtains the multi-channel image data corresponding to the target surface of the battery to be detected from the image acquisition assembly in the battery liquid leakage detection system, and performs liquid leakage detection on the battery according to the multi-channel image data to obtain a liquid leakage detection result. Compared with the manual visual inspection method in the related art, since the multi-channel image data corresponding to the target surface in the embodiment of the present application can more clearly and completely indicate the liquid leakage condition of the target surface of the battery, the liquid leakage detection method according to the multi-channel image data can more accurately obtain the liquid leakage detection result of the target surface of the battery, and the accuracy of the liquid leakage detection result is higher.

[0273] In some embodiments, on the basis of the above-mentioned embodiments, the industrial computer in the embodiments of the present application can also send the liquid leakage detection result to the control device in the battery liquid leakage detection system, so as to instruct the control device to compare the liquid leakage detection result with the preset defect condition, and determine whether the battery to be detected meets the preset production requirement, so that the preset operation can be performed in time in the case that the battery does not meet the preset production requirement, thereby relieving the situation of rework due to the battery not meeting the production requirement, and facilitating to improve the production efficiency of the battery. For example, the preset defect condition can be used to indicate a plurality of preset liquid leakage defect conditions that do not meet the preset production requirement.

[0274] In some embodiments, FIG. 14 is a flowchart of a battery liquid leakage detection method provided by another embodiment of the present application. On the basis of the above-mentioned embodiments, the embodiment of the present application makes an exemplary introduction and description of the related content of “detecting liquid leakage of the battery according to the multi-channel image data to obtain a liquid leakage detection result” in the above-mentioned step S1302. As shown in FIG. 14, the method of the embodiment of the present application can include the following steps:

[0275] Step S1302A: performing image fusion processing on the multi-channel image data to obtain a target fusion image.

[0276] In this step, the industrial computer can perform image fusion processing on part or all of the multi-channel image data corresponding to the target surface to obtain a target fusion image.

[0277] In one possible implementation, the multi-channel image data is subjected to image fusion processing to obtain an initial fusion image; if the uniformity of the gray values of different pixel points in the initial fusion image is less than a preset uniformity, the initial fusion image is subjected to flat field correction processing to obtain a target fusion image.

[0278] The flat field correction processing involved in the embodiments of the present application refers to an image processing technology for improving the quality of digital imaging. The main purpose is to correct the brightness or color non-uniformity in the image caused by various reasons, so as to improve the image quality. After the flat field correction processing, the brightness of different regions will be more uniform, and the artifacts, noise and other influences will be reduced. In general, the principle of flat field correction can be based on correction using a reference image called “flat field image” or “flat field graph”. This reference image is obtained by illuminating a uniform light source onto a sensor, which captures the response non-uniformity of the sensor and the light difference in different regions.

[0279] In this implementation, the industrial computer can perform image fusion processing on part or all of the multi-channel image data to obtain an initial fusion image.

[0280] Further, the industrial computer judges whether the uniformity of the gray values of different pixel points in the initial fusion image is not less than a preset uniformity, that is, judges whether the gray values of different pixel points in the initial fusion image are uniformly distributed. If the uniformity of the gray values of different pixel points in the initial fusion image is less than the preset uniformity, that is, the gray values of different pixel points in the initial fusion image are not uniformly distributed, the industrial computer can perform flat field correction processing on the initial fusion image to obtain a target fusion image (or referred to as a background consistency image), so that the gray values of different pixel points in the target fusion image are uniformly distributed (or referred to as the image is more balanced), so as to facilitate more accurate liquid leakage detection processing according to the target fusion image.

[0281] It should be understood that if the uniformity of the gray values of different pixel points in the initial fusion image is not less than the preset uniformity, that is, the gray values of different pixel points in the initial fusion image are uniformly distributed, the industrial computer can take the initial fusion image as the target fusion image.

[0282] In another possible implementation, the industrial computer can directly perform image fusion processing on the multi-channel image data corresponding to the target surface to obtain the target fusion image, without judging whether the gray values of different pixel points in the initial fusion image are uniformly distributed.

[0283] Of course, the industrial computer can also obtain the target fusion image through other ways of image fusion processing according to the multi-channel image data.

[0284] Step S1302B, performing liquid leakage detection processing according to the target fusion image to obtain a liquid leakage detection result.

[0285] In one possible implementation, the industrial computer can obtain the liquid leakage detection result by inputting the target fusion image into a second preset liquid leakage detection model.

[0286] In another possible implementation, the industrial computer can obtain the target binary image by performing a preset processing on the target fusion image, and determine the liquid leakage detection result according to the target binary image.

[0287] For example, the preset processing in the embodiments of the present application can include but is not limited to at least one of the following: image difference processing, filtering processing, and binary processing.

[0288] For example, the pixel value of the pixel point in the non-liquid leakage area of the target binary image can be a first preset value, and the pixel value of the pixel point in the liquid leakage area of the target binary image can be a second preset value, wherein the second preset value is greater than the first preset value. For example, the pixel point in the liquid leakage area of the target binary image is a white pixel point, and the pixel point in the non-liquid leakage area is a black pixel point.

[0289] For ease of understanding, the following examples of the present application are described in relation to the "pre-set processing of the target fusion image to obtain a target binary image".

[0290] For example, the image difference processing is performed on the target fusion image and the initial fusion image to identify the defect region in the target fusion image; and the binary processing is performed on the defect region and the non-defect region in the target fusion image to obtain the target binary image.

[0291] In the embodiments of the present application, the industrial computer can perform the image difference processing on the target fusion image and the initial fusion image to identify the defect region in the target fusion image, so that the defect region and the non-defect region can be initially separated.

[0292] The image difference processing involved in the embodiments of the present application is an image processing technology for analyzing and processing the pixel intensity change in an image. Generally, the difference between the current image and the fixed background image can be calculated, or the difference between two consecutive images can be calculated. It should be understood that the initial fusion image in the embodiments of the present application can be equivalent to the fixed background image, and the difference between the target fusion image and the initial fusion image is calculated.

[0293] Further, the industrial computer can perform the binary processing on the defect region and the non-defect region in the target fusion image to obtain the target binary image, wherein the boundary between the defect region and the non-defect region in the target binary image is obvious.

[0294] It should be noted that, considering that there can be noise points in the detection image, the industrial computer can perform filtering processing on the target fusion image and the initial fusion image respectively to filter out the noise points in the corresponding image, and then perform the image difference processing on the filtered target fusion image and the initial fusion image. Alternatively, the industrial computer can perform filtering processing on the identified defect region and the non-defect region in the target fusion image to filter out the noise points in the corresponding region.

[0295] Further, the industrial computer can input the target fusion image into a pre-set processing model to obtain the target binary image.

[0296] Of course, the industrial computer can also perform pre-set processing on the target fusion image in other ways to obtain the target binary image.

[0297] For ease of understanding, the following examples of the present application are described in relation to the "determination of the liquid leakage detection result according to the target binary image".

[0298] Exemplarily, the industrial computer can perform comprehensive detection on the target binary image based on a preset liquid leakage detection rule to determine whether a liquid leakage area exists in the target binary image.

[0299] The preset liquid leakage detection rule in the embodiment of the application can be used to indicate a plurality of preset liquid leakage defect reference information. The preset liquid leakage defect reference information can include, but is not limited to, at least one of the following: a liquid leakage defect reference size, a liquid leakage defect reference gray value, and a liquid leakage defect reference confidence. It should be understood that the preset liquid leakage detection rule can be pre-configured for a user or can be obtained from other devices, and the embodiment of the application does not limit this.

[0300] In the embodiment of the application, the industrial computer can recognize the defect information (for example, defect size, defect gray value, and / or defect position, etc.) of each defect area in the target binary image by performing analysis processing on the target binary image, and match the defect information of each defect area with the plurality of preset liquid leakage defect reference information indicated by the preset liquid leakage detection rule respectively, to determine whether there is a defect area that matches any of the preset liquid leakage defect reference information indicated by the preset liquid leakage detection rule in each defect area, so as to filter out the non-liquid leakage area (or referred to as pseudo-liquid leakage area) in each defect area in the target binary image.

[0301] Exemplarily, if the defect size corresponding to any defect area belongs to the liquid leakage defect reference size in any of the preset liquid leakage defect reference information indicated by the preset defect detection rule, the gray value corresponding to any defect area belongs to the liquid leakage defect reference gray value in any of the preset liquid leakage defect reference information indicated by the preset defect detection rule, and / or the confidence corresponding to any defect area belongs to the liquid leakage defect reference confidence in any of the preset liquid leakage defect reference information indicated by the preset defect detection rule, the industrial computer can determine that the defect information of the defect area matches the preset liquid leakage defect reference information indicated by the preset defect detection rule, so as to determine the defect area as a liquid leakage area.

[0302] It should be noted that the industrial computer can also obtain the confidence information corresponding to each defect area in the target binary image by performing analysis processing on the target binary image.

[0303] Exemplarily, the industrial computer can extract a region image containing each defect area in the target binary image; input the region image into a preset liquid leakage detection model (or referred to as a third preset liquid leakage detection model) to determine whether a liquid leakage area exists in the region image.

[0304] In the embodiment of the present application, the industrial computer can recognize each defect area in the target binary image by performing analysis processing on the target binary image, and extract a region image containing each defect area in the target binary image. Further, the industrial computer can input the region image into the third preset liquid leakage detection model to obtain whether there is a liquid leakage area in the region image and corresponding liquid leakage area information when there is a liquid leakage area.

[0305] In another example, on the one hand, the industrial computer can perform comprehensive detection on the target binary image based on a preset liquid leakage detection rule to obtain a first liquid leakage detection result. On the other hand, the industrial computer can extract a region image containing each defect area in the target binary image, and input the region image into the third preset liquid leakage detection model to obtain a second liquid leakage detection result. Further, the industrial computer can combine the above two liquid leakage detection results to comprehensively determine whether there is a liquid leakage area in the target binary image and corresponding liquid leakage area information when there is a liquid leakage area.

[0306] In another example, the industrial computer can input the target binary image into the fourth preset liquid leakage detection model to obtain a liquid leakage detection result.

[0307] Of course, the industrial computer can also determine the liquid leakage detection result in other ways according to the target binary image.

[0308] In the embodiment of the present application, the industrial computer obtains the target binary image by performing a preset processing on the target fusion image, and determines the liquid leakage detection result according to the target binary image. Since the defect area and the non-defect area in the target binary image are clearly divided, it is beneficial to more accurately and quickly determine the liquid leakage detection result.

[0309] In summary, in the embodiment of the present application, the target fusion image is obtained by performing image fusion processing on the multi-channel image data, and further, the liquid leakage detection result is obtained by performing liquid leakage detection processing on the target fusion image. As can be seen, in the embodiment of the present application, the target fusion image is obtained by performing image fusion processing on the multi-channel image data, and further, the liquid leakage detection result is obtained by performing liquid leakage detection processing on the target fusion image. Since the target fusion image is an image obtained by fusing multi-channel image data, it can provide more and richer defect conditions, and therefore, the liquid leakage detection processing on the target fusion image is beneficial to further improve the accuracy of liquid leakage detection.

[0310] In some embodiments, FIG. 15 is a flowchart of a battery liquid leakage detection method provided by another embodiment of the present application. On the basis of the above-mentioned embodiments, the overall process of battery liquid leakage detection is exemplarily introduced and described in the embodiment of the present application. As shown in FIG. 15, the method of the embodiment of the present application can include the following steps:

[0311] In step S1501, the industrial computer obtains multi-channel image data corresponding to the target surface of the battery to be detected from the image acquisition component.

[0312] In step S1502, the industrial computer performs image fusion processing according to the multi-channel image data to obtain an initial fusion image.

[0313] In step S1503, the industrial computer determines whether the uniformity of the gray values of different pixel points in the initial fusion image is not less than a preset uniformity.

[0314] If the uniformity of the gray values of different pixel points in the initial fusion image is less than the preset uniformity, step S1504 is performed; if the uniformity of the gray values of different pixel points in the initial fusion image is not less than the preset uniformity, step S1505 is performed.

[0315] In step S1504, the industrial computer performs flat field correction processing on the initial fusion image to obtain a target fusion image.

[0316] In step S1505, the industrial computer takes the initial fusion image as the target fusion image.

[0317] In step S1506, the industrial computer performs image difference processing according to the target fusion image and the initial fusion image to identify a defect region in the target fusion image.

[0318] In step S1507, the industrial computer performs filtering processing on the defect region and the non-defect region in the target fusion image to filter out noise points in the corresponding regions.

[0319] In step S1508, the industrial computer performs binarization processing on the defect region and the non-defect region in the target fusion image to obtain a target binarization image.

[0320] In step S1509, the industrial computer performs analysis processing on the target binarization image to identify each defect region in the target binarization image.

[0321] In step S1510, the industrial computer filters non-leakage regions in each defect region in the target binarization image based on a preset leakage detection rule to obtain a first leakage detection result.

[0322] In step S1511, the industrial computer extracts a region image containing each defect region in the target binarization image.

[0323] In step S1512, the industrial computer inputs the region image into a third preset leakage detection model to obtain a second leakage detection result.

[0324] It should be understood that the industrial computer can save the second leakage detection result in the case where the second leakage detection result indicates that there is a leakage region.

[0325] In step S1513, the industrial computer determines whether there is a liquid leakage area in the target binary image according to the first liquid leakage detection result and the second liquid leakage detection result, and corresponding liquid leakage area information when the liquid leakage area exists.

[0326] In step S1514, the industrial computer displays the liquid leakage area information and the target fusion image when it is determined that the liquid leakage area exists.

[0327] In step S1515, the industrial computer outputs a liquid leakage alarm prompt information when it is determined that the liquid leakage area exists.

[0328] In step S1516, the industrial computer saves the liquid leakage detection result when it is determined that the liquid leakage area exists.

[0329] It should be noted that the implementation manners of each step in the embodiments of the present application can refer to the related contents in the above embodiments, which will not be described here.

[0330] It should be understood that, although each step in the flowchart involved in the above embodiments is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise stated herein, the execution of these steps has no strict sequence limitation, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in the above embodiments can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0331] Based on the same inventive concept, the embodiments of the present application also provide a battery liquid leakage detection device for implementing the above-mentioned battery liquid leakage detection method. The problem-solving implementation scheme provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more battery liquid leakage detection device embodiments provided below can refer to the limitations of the battery liquid leakage detection method in the above text, which will not be described here.

[0332] In some embodiments, FIG. 16 is a structural schematic diagram of a battery liquid leakage detection device provided by some embodiments of the present application. The battery liquid leakage detection device Dev provided by the embodiments of the present application can be applied to the industrial computer in the battery liquid leakage detection system in the above embodiments of the present application. As shown in FIG. 16, the battery liquid leakage detection device Dev of the embodiments of the present application can include an acquisition module 1601 and a detection module 1602.

[0333] The acquisition module 1601 is configured to acquire, from an image acquisition component in the battery liquid leakage detection system, multi-channel image data corresponding to a target surface of a battery to be detected.

[0334] The detection module 1602 is configured to perform liquid leakage detection on the battery according to the multi-channel image data, to obtain a liquid leakage detection result.

[0335] In some embodiments, the detection module 1602 includes:

[0336] a fusion unit configured to perform image fusion processing on the multi-channel image data to obtain a target fusion image;

[0337] a detection unit configured to perform liquid leakage detection processing on the target fusion image to obtain the liquid leakage detection result.

[0338] In some embodiments, the detection unit is specifically configured to:

[0339] perform a preset processing on the target fusion image to obtain a target binary image, wherein a pixel value of a pixel point in a non-defect region in the target binary image is a first preset value, and a pixel value of a pixel point in a defect region in the target binary image is a second preset value, wherein the second preset value is greater than the first preset value;

[0340] determine the liquid leakage detection result according to the target binary image.

[0341] In some embodiments, the detection unit is specifically configured to:

[0342] perform comprehensive detection on the target binary image based on a preset liquid leakage detection rule to determine whether a liquid leakage region exists in the target binary image, wherein the preset liquid leakage detection rule is used to indicate a plurality of preset liquid leakage defect reference information.

[0343] In some embodiments, the detection unit is specifically configured to:

[0344] extract a region image containing each defect region in the target binary image;

[0345] input the region image into a preset liquid leakage detection model to determine whether a liquid leakage region exists in the region image.

[0346] In some embodiments, the fusion unit is specifically configured to:

[0347] perform image fusion processing on the multi-channel image data to obtain an initial fusion image;

[0348] if a uniformity of gray values of different pixel points in the initial fusion image is less than a preset uniformity, perform flat-field correction processing on the initial fusion image to obtain the target fusion image.

[0349] In some embodiments, the detection unit is specifically configured to:

[0350] According to the image difference processing of the target fusion image and the initial fusion image, the defect area in the target fusion image is identified;

[0351] The defect area and the non-defect area in the target fusion image are binarized to obtain a target binary image.

[0352] In some embodiments, the battery liquid leakage detection device can further include:

[0353] The sending module is configured to send the liquid leakage detection result to a control device in the battery liquid leakage detection system, so as to instruct the control device to compare the liquid leakage detection result with a preset defect condition, and determine whether the battery to be detected meets a preset production requirement, wherein the preset defect condition is used to indicate a plurality of preset liquid leakage defect conditions that do not meet the preset production requirement.

[0354] The battery liquid leakage detection device provided by the embodiments of the present application can be used to execute the technical solutions in the battery liquid leakage detection method embodiments of the present application, and the implementation principles and technical effects are similar, which will not be repeated here.

[0355] The above-mentioned various modules of the battery liquid leakage detection device can be all or partially realized by software, hardware and combinations thereof. The above-mentioned various modules can be embedded in or independent of the processor in the industrial computer in hardware form, or can be stored in the memory in the industrial computer in software form, so as to be called and executed by the processor to execute the operations corresponding to the above-mentioned various modules.

[0356] In some embodiments, the embodiments of the present application also provide an industrial computer, which can include a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the technical solutions in the battery liquid leakage detection method embodiments of the present application, and the implementation principles and technical effects are similar, which will not be repeated here.

[0357] In some embodiments, a computer readable storage medium having a computer program stored thereon is also provided, and the computer program is executed by the processor to realize the technical solutions in the battery liquid leakage detection method embodiments of the present application, and the implementation principles and technical effects are similar, which will not be repeated here.

[0358] In some embodiments, a computer program product including a computer program is also provided, and the computer program is executed by the processor to realize the technical solutions in the battery liquid leakage detection method embodiments of the present application, and the implementation principles and technical effects are similar, which will not be repeated here.

[0359] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiments of each method. Any reference to memory, database or other medium used in each embodiment provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The processor involved in each embodiment provided by the present application can be a general-purpose processor, central processing unit, graphics processing unit, digital signal processor, programmable logic device, quantum computing-based data processing logic device, etc., without being limited thereto.

[0360] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the above embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the specification of the present application. Especially, as long as there is no structural conflict, each technical feature mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed in the text, but includes all technical solutions falling within the scope of the claims.

Claims

1. A battery liquid leakage detection system, wherein, The battery liquid leakage detection system comprises an image acquisition assembly, a light source assembly, and an industrial computer connected with the image acquisition assembly and the light source assembly respectively; The light source assembly is directed towards a target surface of the battery to be detected, and is configured to project target detection light towards the target surface of the battery; The image acquisition assembly is arranged around the light source assembly, and is configured to acquire image data of the target surface of the battery and output multi-channel image data corresponding to the target surface; The industrial computer is configured to acquire the multi-channel image data from the image acquisition assembly, and perform liquid leakage detection on the battery according to the multi-channel image data to obtain a liquid leakage detection result.

2. The battery liquid leakage detection system of claim 1, wherein, The light source assembly comprises a preset light source arranged opposite to the target surface of the battery; The preset light source is configured to project the target detection light towards the target surface of the battery according to preset light emission setting parameters.

3. The battery liquid leakage detection system of claim 2, wherein, The light source assembly further comprises an optical mirror arranged between the target surface and the preset light source; and the image acquisition assembly is arranged above the light source assembly. The preset light source is configured to project the target detection light towards the target surface through the optical mirror according to the preset light emission setting parameters; and the target detection light is sinusoidal fringe light. The image acquisition assembly is specifically configured to acquire image data of the target surface of the battery through the optical mirror, and output multi-channel image data corresponding to the target surface.

4. The battery liquid leakage detection system of claim 2, wherein, The image acquisition assembly is arranged opposite to the target surface of the battery. The preset light source is configured to project the target detection light towards the target surface according to the preset light emission setting parameters; and the target detection light comprises annular sector light.

5. The battery liquid leakage detection system of any one of claims 1-4, wherein, The battery liquid leakage detection system comprises first and second image detection mechanisms arranged symmetrically, wherein the first image detection mechanism comprises a first image acquisition assembly and a first light source assembly, and the second image detection mechanism comprises a second image acquisition assembly and a second light source assembly; The first light source assembly is directed towards a first target surface of the battery to be detected, and is configured to project first target detection light towards the first target surface of the battery; The second light source assembly is directed towards a second target surface of the battery to be detected, and is configured to project second target detection light towards the second target surface of the battery; wherein the first target surface and the second target surface are two surfaces arranged symmetrically in the battery; The first image acquisition assembly is configured to acquire image data of the first target surface of the battery and output multi-channel image data corresponding to the first target surface; The second image acquisition assembly is configured to acquire image data of the second target surface of the battery and output multi-channel image data corresponding to the second target surface; The industrial computer is configured to perform liquid leakage detection on the battery according to the acquired multi-channel image data corresponding to the first target surface and the multi-channel image data corresponding to the second target surface, and obtain a liquid leakage detection result.

6. The battery liquid leakage detection system of any one of claims 1-5, wherein, The battery liquid leakage detection system comprises a third image detection mechanism and a fourth image detection mechanism arranged side by side, wherein the third image detection mechanism comprises a third image acquisition assembly and a third light source assembly, and the fourth image detection mechanism comprises a fourth image acquisition assembly and a fourth light source assembly; The third light source assembly is directed towards a first region of a target surface of the battery to be detected, and is configured to project third target detection light onto the first region of the target surface of the battery; The fourth light source assembly is directed towards a second region of the target surface of the battery to be detected, and is configured to project fourth target detection light onto the second region of the target surface of the battery; wherein the first region and the second region are different regions obtained by dividing the target surface along a length direction; The third image acquisition assembly is configured to acquire image data of the first region of the target surface, and output multi-channel image data corresponding to the first region of the target surface; The fourth image acquisition assembly is configured to acquire image data of the second region of the target surface, and output multi-channel image data corresponding to the second region of the target surface; The industrial computer is configured to perform liquid leakage detection on the battery according to the acquired multi-channel image data corresponding to the first region of the target surface and the multi-channel image data corresponding to the second region of the target surface, and obtain a liquid leakage detection result.

7. The battery liquid leakage detection system of any one of claims 1-6, wherein, The battery liquid leakage detection system further comprises a transmission track, a containing assembly and a driving assembly; the image acquisition assembly and the light source assembly are arranged around the transmission track; The containing assembly is arranged on the transmission track and is configured to carry the battery to be detected; wherein the target surface of the battery is directed towards a direction perpendicular to an extension direction of the transmission track; The driving assembly is connected to the transmission track or the containing assembly to drive the containing assembly to move along the transmission track; The transmission track is configured to move the battery to be detected from a liquid leakage detection position to a film wrapping position.

8. The battery liquid leakage detection system of claim 7, wherein, The battery liquid leakage detection system further comprises a control device connected to the driving assembly and the image acquisition assembly, respectively; The control device is configured to control the driving assembly to drive the containing assembly to move along the transmission track to a corresponding liquid leakage detection position, and control the image acquisition assembly to detect multi-channel image data corresponding to the target surface of the battery.

9. The battery liquid leakage detection system of claim 8, wherein, The control device is further connected to the industrial computer; The control device is further configured to receive the liquid leakage detection result sent by the industrial computer, and determine whether the battery to be detected meets a preset production requirement according to a comparison between the liquid leakage detection result and a preset defect condition, wherein the preset defect condition is configured to indicate a plurality of preset liquid leakage defect conditions that do not meet the preset production requirement.

10. The battery liquid leakage detection system of claim 9, wherein, The battery liquid leakage detection system further comprises a sliding track, a cantilever and a grabbing component; the sliding track is arranged above the conveying track through a support frame; the cantilever is movably arranged at the front end of the sliding track; and the grabbing component is arranged at the tail end of the cantilever; the extension direction of the sliding track is perpendicular to the extension direction of the conveying track. The control device is specifically configured to: in the case that the battery to be detected does not meet the preset production requirements, control the cantilever to move above the battery along the sliding track, and control the grabbing component to grab the battery along the extension direction of the cantilever, so as to move the battery to a preset waste area arranged near the conveying track.

11. The battery liquid leakage detection system of any one of claims 1-10, wherein, The industrial computer is specifically configured to: perform image fusion processing on the multi-channel image data to obtain a target fusion image; perform liquid leakage detection processing on the target fusion image to obtain the liquid leakage detection result.

12. The battery liquid leakage detection system of claim 11, wherein, The industrial computer is specifically configured to: perform preset processing on the target fusion image to obtain a target binary image, wherein the pixel value of a pixel point in a non-defect area in the target binary image is a first preset value, and the pixel value of a pixel point in a defect area in the target binary image is a second preset value, wherein the second preset value is greater than the first preset value; determine the liquid leakage detection result according to the target binary image.

13. A method of detecting battery fluid leakage, wherein, The method is applied to an industrial computer in a battery liquid leakage detection system as claimed in any one of claims 1 to 12; the method comprises: obtaining multi-channel image data corresponding to a target surface of a battery to be detected from an image acquisition component in the battery liquid leakage detection system; performing liquid leakage detection on the battery according to the multi-channel image data to obtain a liquid leakage detection result.

14. The method of claim 13, wherein, The liquid leakage detection on the battery according to the multi-channel image data to obtain a liquid leakage detection result comprises: performing image fusion processing on the multi-channel image data to obtain a target fusion image; performing liquid leakage detection processing on the target fusion image to obtain the liquid leakage detection result.

15. The method of claim 14, wherein, The liquid leakage detection processing on the target fusion image to obtain the liquid leakage detection result comprises: performing preset processing on the target fusion image to obtain a target binary image, wherein the pixel value of a pixel point in a non-defect area in the target binary image is a first preset value, and the pixel value of a pixel point in a defect area in the target binary image is a second preset value, wherein the second preset value is greater than the first preset value; determining the liquid leakage detection result according to the target binary image.

16. The method of claim 15, wherein, The determination of the liquid leakage detection result according to the target binary image comprises: comprehensively detecting the target binary image based on a preset liquid leakage detection rule to determine whether there is a liquid leakage area in the target binary image; wherein the preset liquid leakage detection rule is used to indicate a plurality of preset liquid leakage defect reference information.

17. The method of claim 15, wherein, The determination of the liquid leakage detection result according to the target binary image comprises: extracting a region image containing each defect area in the target binary image; The region image is input into a preset liquid leakage detection model to obtain whether there is a liquid leakage region in the region image.

18. The method of any one of claims 15-17, wherein, The image fusion processing is performed on the multi-channel image data to obtain a target fusion image, including: The image fusion processing is performed on the multi-channel image data to obtain an initial fusion image. If the uniformity of the gray values of different pixel points in the initial fusion image is less than a preset uniformity, the initial fusion image is subjected to flat field correction processing to obtain the target fusion image.

19. The method of claim 18, wherein, The target fusion image is subjected to preset processing to obtain a target binary image, including: The target fusion image is subjected to image difference processing with the initial fusion image to identify a defect region in the target fusion image; The defect region and a non-defect region in the target fusion image are subjected to binary processing to obtain the target binary image.

20. The method of any one of claims 13-19, wherein, The method further includes: The liquid leakage detection result is sent to a control device in the battery liquid leakage detection system to instruct the control device to compare the liquid leakage detection result with a preset defect condition to determine whether the battery to be detected meets a preset production requirement, wherein the preset defect condition is used to indicate a plurality of preset liquid leakage defect conditions that do not meet the preset production requirement.

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