CN117969533B - Insulation coating detection method, device, system, equipment and storage medium - Google Patents

Abstract

The present application relates to an insulating coating detection method, device, system, equipment and storage medium. The method includes: obtaining an image to be inspected of an insulating coating area on an electrode sheet to be inspected, determining a temperature abnormality area on the insulating coating area according to the image to be inspected, and obtaining coating information of the temperature abnormality area when there is an overlap between the temperature abnormality area and the weld print area in the insulating coating area, thereby determining a coating detection result of the insulating coating area according to the coating information. The image to be inspected includes temperature information of different areas in the insulating coating area, and the coating information includes a coating thickness determined according to the pixel value of the temperature abnormality area. In the above method, the image to be inspected including the temperature information can accurately reflect the coating condition on the electrode sheet to be inspected, is not affected by ambient light, improves the reliability of the acquired image to be inspected, and correspondingly improves the accuracy of the coating detection result, takes into account the weld print area, and improves the reliability of the coating detection result.

Description

Insulation coating detection method, device, system, equipment and storage medium

Technical Field

The present application relates to the field of battery technology, and in particular to an insulating coating detection method, device, system, equipment and storage medium.

Background technique

With the widespread use of batteries, battery safety performance has become a focus of attention.

Taking power batteries as an example, in the relevant technology, in the cathode slitting process of the power battery production process, in order to reduce the molten beads and burrs in the slitting process, an insulating coating is usually applied to the cathode slitting edge, and the applied insulating coating is inspected to avoid the impact of poor coating on battery reliability.

However, the detection of insulating coating in the related art has the problem of poor accuracy.

Summary of the invention

Based on this, it is necessary to provide an insulating coating detection method, device, system, equipment and storage medium to address the above-mentioned technical problems, which can improve the accuracy of coating detection results.

In a first aspect, an embodiment of the present application provides an insulating coating detection method, comprising:

Acquire an image to be inspected of the insulating coating area on the electrode sheet to be inspected; the image to be inspected includes temperature information of different areas in the insulating coating area;

Determine the temperature abnormality area on the insulating coating area according to the image to be inspected;

When the temperature abnormality region overlaps with the weld mark region in the insulating coating region, the coating information of the temperature abnormality region is obtained; the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality region;

Based on the coating information, the coating inspection result of the insulating coating area is determined.

In an embodiment of the present application, an image to be inspected of the insulating coating area on the electrode sheet to be inspected is obtained to determine the temperature anomaly area on the insulating coating area according to the image to be inspected, and when the temperature anomaly area overlaps with the weld mark area in the insulating coating area, the coating information of the temperature anomaly area is obtained, so as to determine the coating detection result of the insulating coating area according to the coating information. Among them, the image to be inspected includes the temperature information of different areas in the insulating coating area, and the coating information includes the coating thickness determined according to the pixel value of the temperature anomaly area. In the above method, the coating detection is performed using the image to be inspected including the temperature information of different areas in the insulating coating area. The image to be inspected including the temperature information can accurately reflect the coating condition on the electrode sheet to be inspected, is not affected by ambient light, improves the reliability of the acquired image to be inspected, and correspondingly improves the accuracy of the coating detection result, and takes into account the weld mark area on the insulating coating area, thereby improving the reliability of the coating detection result.

In one embodiment, obtaining an image to be inspected of an insulating coating area on an electrode sheet to be inspected includes:

Obtain the temperature field of different areas on the surface of the insulating coating area;

The image to be inspected is generated according to the temperature fields of different areas on the surface of the insulating coating area.

In the embodiment of the present application, the temperature fields of different areas on the surface of the insulating coating area are obtained to generate the image to be inspected according to the temperature fields of different areas on the surface of the insulating coating area. In the above method, by using a single data source, namely the temperature field, to generate the image to be inspected, the acquisition method of the image to be inspected including temperature information is simplified, and the acquisition convenience is improved, thereby improving the acquisition efficiency of the image to be inspected and the detection efficiency.

In one embodiment, determining the abnormal temperature area on the insulating coating area according to the image to be inspected includes:

Obtain the temperature quantization value of each pixel in the image to be inspected;

An area consisting of pixel points whose temperature quantization values are within a preset range is extracted from the image to be inspected as the temperature abnormality area on the insulating coating area.

In the embodiment of the present application, the temperature quantization value of each pixel in the image to be inspected is obtained to extract the area composed of pixels whose temperature quantization values are within a preset range from the image to be inspected as the temperature abnormality area on the insulating coating area. In the above method, the temperature abnormality area is determined based on the temperature quantization value of each pixel, and the temperature quantization value of each pixel can accurately reflect the actual temperature distribution on the insulating coating area, thereby improving the accuracy of the temperature abnormality area determined based on the temperature quantization value.

In one embodiment, the method further comprises:

When there is no overlap between the abnormal temperature area and the weld mark area, it is determined that the coating inspection result of the insulating coating area is qualified.

In the embodiment of the present application, when the temperature abnormality area and the weld mark area do not overlap, the coating detection result of the insulating coating area is determined to be qualified. In the above method, the short circuit risk is accurately estimated based on whether the temperature abnormality area and the weld mark area overlap, thereby improving the accuracy and reliability of the coating detection result.

In one embodiment, obtaining coating information of an abnormal temperature region includes:

Obtaining the area of the temperature abnormality region and obtaining the coating thickness of the temperature abnormality region;

The area and coating thickness of the region are determined as coating information of the temperature abnormality region.

In the embodiment of the present application, the area of the temperature abnormality region is obtained, and the coating thickness of the temperature abnormality region is obtained, so that the area and the coating thickness are determined as the coating information of the temperature abnormality region. In the above method, the coating information includes not only the area but also the thickness, which improves the diversity of information. The coating detection results can be determined from the two aspects of area and thickness in the future, which improves the comprehensiveness of the detection and correspondingly improves the accuracy and reliability of the coating detection results.

In one embodiment, obtaining the coating thickness in the temperature abnormality area includes:

Obtain target pixel points in the temperature anomaly area;

The thickness corresponding to the pixel value of the target pixel point is determined as the coating thickness.

In the embodiment of the present application, by obtaining the target pixel point in the temperature anomaly area, the thickness corresponding to the pixel value of the target pixel point is determined as the coating thickness. In the above method, it is not necessary to determine the coating thickness based on all the pixel points in the temperature anomaly area, but only representative target pixel points are needed to determine the coating thickness, which greatly reduces the amount of data processing, saves processing time, improves processing efficiency, and simultaneously improves the coating detection efficiency.

In one embodiment, obtaining the coating thickness in the temperature abnormality area includes:

Obtain the pixel value of each pixel in the temperature anomaly area;

Determine the pixel average value of the temperature abnormal area according to the pixel value of each pixel point in the temperature abnormal area;

The coating thickness corresponding to the pixel average value is determined as the coating thickness in the temperature abnormality area.

In the embodiment of the present application, the pixel value of each pixel point in the temperature anomaly region is obtained, and the pixel average value of the temperature anomaly region is determined according to the pixel value of each pixel point in the temperature anomaly region, so that the coating thickness corresponding to the pixel average value is determined as the coating thickness of the temperature anomaly region. In the above method, the coating thickness is determined based on all the pixel points in the temperature anomaly region, which improves the representativeness of the obtained coating thickness for the entire temperature anomaly region, reduces the influence of individual error points on the coating thickness, and thus improves the reliability of the obtained coating thickness in the temperature anomaly region.

In one embodiment, the coating information includes coating thickness and area; and determining the coating detection result of the insulating coating area according to the coating information includes:

Determine the thickness test result of the insulating coating area according to the coating thickness;

In the case where the thickness test result is unqualified, the coating test result is determined to be unqualified;

When the thickness test result is qualified, the coating test result is determined based on the area.

In the embodiment of the present application, when the coating information includes the coating thickness and the regional area, the thickness detection result of the insulating coating area is determined according to the coating thickness. When the thickness detection result is unqualified, the coating detection result is determined to be unqualified; when the thickness detection result is qualified, the coating detection result is determined according to the regional area. In the above method, the detection of both the area and thickness of the temperature abnormality area is taken into account to comprehensively determine the coating detection result, which improves the accuracy and reliability of the coating detection result while improving the comprehensiveness of the detection.

In one embodiment, determining the thickness detection result of the insulating coating area according to the coating thickness includes:

In the case where the coating thickness is less than or equal to the thickness threshold, determining that the thickness test result of the insulating coating area is unqualified;

When the coating thickness is greater than the thickness threshold, it is determined that the thickness detection result of the insulating coating area is qualified.

In the embodiment of the present application, when the coating thickness is less than or equal to the thickness threshold, the thickness detection result of the insulating coating area is determined to be unqualified; when the coating thickness is greater than the thickness threshold, the thickness detection result of the insulating coating area is determined to be qualified. In the above method, the detection result is determined based on the threshold comparison method, which simplifies the determination process, saves time, and improves the determination efficiency of the thickness detection result.

In one embodiment, determining the coating detection result according to the area of the region includes:

When the area of the region is less than or equal to the area threshold, the coating test result is determined to be qualified;

When the area of the region is greater than the area threshold, the coating inspection result is determined to be unqualified.

In the embodiment of the present application, when the area of the region is less than or equal to the area threshold, the coating detection result of the insulating coating region is determined to be qualified; when the area of the region is greater than the area threshold, the coating detection result of the insulating coating region is determined to be unqualified. In the above method, the detection result is determined based on the threshold comparison method, which simplifies the determination process, saves time, and improves the determination efficiency of the coating detection result.

In one embodiment, before acquiring the image to be inspected of the insulating coating area on the electrode sheet to be inspected, the method further includes:

Acquire a visible light image of the insulating coating area;

Determine the initial inspection result of the insulating coating area based on the visible light image;

When the initial inspection result is unqualified, the step of acquiring an inspection image of the insulating coating area on the electrode sheet to be inspected is performed.

In an embodiment of the present application, before obtaining the image of the insulating coating area on the electrode sheet to be inspected, a visible light image of the insulating coating area is obtained to determine the initial inspection result of the insulating coating area based on the visible light image, and when the initial inspection result is unqualified, the step of obtaining the image of the insulating coating area on the electrode sheet to be inspected is performed. In the above method, the insulating coating area on the electrode sheet to be inspected is initially inspected using a visible light image, and the insulating coating area is re-inspected using an image to be inspected that is different from the visible light image. The reliability of the coating inspection result obtained in the end is improved by the double inspection method, and the utilization rate of the electrode sheet is improved. At the same time, the timeliness of the visible light image acquisition is strong, and the initial inspection process is simple and fast, which can speed up the inspection efficiency of qualified electrode sheets to be inspected, thereby improving the inspection efficiency of batch inspection.

In a second aspect, the embodiment of the present application further provides an insulating coating detection system, comprising:

Infrared camera equipment and detection host; the infrared camera equipment's collection angle of view is set directly at the insulating coating area of the electrode sheet to be inspected;

Infrared camera equipment, used for collecting the image to be inspected of the insulating coating area on the electrode sheet to be inspected; the image to be inspected includes temperature information of different areas in the insulating coating area;

The detection host is used to determine the temperature abnormality area on the insulating coating area according to the image to be inspected, and obtain the coating information of the temperature abnormality area when there is overlap between the temperature abnormality area and the weld mark area in the insulating coating area; determine the coating detection result of the insulating coating area according to the coating information; the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area.

In one embodiment, the insulating coating detection system further comprises a visible light camera; the collection angle of the visible light camera is set to face the insulating coating area of the electrode sheet to be inspected;

Visible light camera equipment is used to collect visible light images of the insulating coating area.

In a third aspect, the embodiment of the present application further provides an insulating coating detection device, comprising:

An image acquisition module is used to acquire an image to be inspected of the insulating coating area on the electrode sheet to be inspected; the image to be inspected includes temperature information of different areas in the insulating coating area;

An abnormality determination module, used to determine the temperature abnormality area on the insulating coating area according to the image to be inspected;

A coating detection module, used for obtaining coating information of the temperature abnormality area when there is overlap between the temperature abnormality area and the weld print area in the insulating coating area; the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area;

The result determination module is used to determine the coating detection result of the insulating coating area according to the coating information.

In a fourth aspect, an embodiment of the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps in the insulating coating detection method provided in any one of the embodiments of the first aspect are implemented.

In a fifth aspect, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the insulating coating detection method provided in any one of the embodiments in the first aspect above are implemented.

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

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of an application of an insulating coating detection system in one embodiment;

FIG2 is a schematic diagram of the structure of an insulating coating detection system in one embodiment;

FIG3 is a schematic flow chart of an insulating coating detection method in one embodiment;

FIG4 is a schematic diagram of a coating state of an insulating coating on an insulating coating area in one embodiment;

FIG5 is a schematic diagram of a process of obtaining an image to be inspected in one embodiment;

FIG6 is a schematic diagram of a process for determining an abnormal temperature region in one embodiment;

FIG7 is a schematic diagram of a process for obtaining coating information in one embodiment;

FIG8 is a schematic diagram of a process for obtaining coating thickness in one embodiment;

FIG9 is a schematic diagram of a process for obtaining coating thickness in another embodiment;

FIG10 is a schematic diagram of a process for determining coating detection results in another embodiment;

FIG11 is a schematic diagram of a process for determining a thickness detection result in one embodiment;

FIG12 is a schematic diagram of a process for determining coating detection results in another embodiment;

FIG13 is a schematic flow chart of an insulating coating detection method in another embodiment;

FIG14 is a schematic flow chart of an insulating coating detection method in another embodiment;

FIG. 15 is a structural block diagram of an insulating coating detection device in one embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

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

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

In the description of the embodiments of the present application, the term "and/or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships, for example, A and/or B, which may represent: A exists alone, A and B exist at the same time, and B exists alone. In the description of the embodiments of the present application, the term "plurality" refers to more than two (including two), unless otherwise clearly and specifically defined.

With the widespread use of batteries, battery safety performance has become a focus of attention.

Taking power batteries as an example, the battery cell is the main structure of the battery, and the electrode sheet is the main structure of the battery cell, which generally includes the cathode sheet and the anode sheet. In the production process of power batteries, the whole roll of electrode sheets is usually cut into pieces to obtain electrode sheets that meet the size requirements.

In the cathode slitting process of the power battery production process, in order to reduce the molten beads and burrs in the slitting process, an insulating coating is usually applied to the cathode slitting edge, and the applied insulating coating is inspected to timely discover and remedy the poor coating, thereby reducing the occurrence of safety problems such as cell short circuit caused by the molten beads/burrs generated by the slitting and piercing the isolation membrane and overlapping the anode during the periodic use of the battery cell.

In the related art, manual visual inspection is usually used for sampling inspection, which is not only time-consuming and labor-intensive, but also requires the finished battery cells to be disassembled to check whether the cathode sheets in the battery cells are leaking. There are also serious hysteresis and material waste problems.

In order to free up manpower and improve the timeliness of detection, image detection methods are introduced in relevant technologies. Cameras are installed at locations where there may be coating leaks to detect coating images captured by the cameras. The difference between the cathode film and the insulating coating in the image is used to determine whether there is coating leak detection result on the cathode film.

However, the camera relies on visible light to present images, and is therefore limited by ambient light. Especially in the case of reflections, it is difficult to distinguish the cathode film and the insulating coating based on the coating image captured by the camera. Therefore, the detection of the insulating coating in the related art has the problem of poor accuracy.

Based on this, an embodiment of the present application provides an insulating coating detection method, which uses an image to be inspected that includes temperature information of different areas in the insulating coating area to perform coating detection. The image to be inspected that includes temperature information can accurately reflect the coating condition on the electrode sheet to be inspected and is not affected by ambient light, thereby achieving the technical effect of improving the reliability of the acquired image to be inspected and the accuracy of the coating detection results.

The insulating coating detection method provided in the embodiment of the present application can be applied to the insulating coating detection system. Therefore, before describing the process of the insulating coating detection method in detail, the insulating coating detection system provided in the embodiment of the present application will be described first.

As shown in Fig. 1, in one embodiment, the present application provides an insulating coating detection system, including: an infrared camera device 100 and a detection host 200. The acquisition viewing angle of the infrared camera device 100 is set to the insulating coating area of the electrode sheet to be inspected.

The infrared camera device 100 is used to collect an image to be inspected of the insulating coating area on the electrode sheet to be inspected; the image to be inspected includes temperature information of different areas in the insulating coating area.

The detection host 200 is used to determine the temperature abnormality area on the insulating coating area according to the image to be inspected, and when the temperature abnormality area overlaps with the weld mark area in the insulating coating area, obtain the coating information of the temperature abnormality area; determine the coating detection result of the insulating coating area according to the coating information; the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area.

The electrode sheet to be tested is an electrode sheet in a battery cell. For example, the electrode sheet to be tested may be a cathode sheet in a battery cell. The insulating coating area on the electrode sheet to be tested is an area where a hot melt adhesive insulating coating is applied to the surface of the electrode sheet to be tested. The insulating coating is used to protect the weld marks on the electrode sheet.

The infrared camera device 100 can be used to collect infrared thermal images, and the infrared camera device 100 is set with a collection angle facing the insulating coating area of the electrode sheet to be inspected, so as to collect an infrared thermal image of the insulating coating area on the electrode sheet to be inspected, as the image to be inspected of the insulating coating area on the electrode sheet to be inspected. Exemplarily, in the case where the electrode sheet to be inspected is coated with an insulating coating on both sides, the insulating coating detection system may include two infrared camera devices 100, which are respectively arranged on both sides of the electrode sheet to be inspected, and the collection angle of each infrared camera device 100 is set facing the insulating coating area.

The infrared camera device 100 includes an infrared detector and an optical imaging unit. The infrared detector is used to receive infrared radiation energy on the surface of the insulating coating area and transmit the infrared radiation energy to the optical imaging unit, which converts the infrared radiation energy into an image signal to form an infrared thermal image of the insulating coating area.

The detection host 200 can communicate with the infrared camera device 100 to obtain the image to be inspected captured by the infrared camera device 100, determine the temperature abnormality area on the insulating coating area in the image to be inspected based on the temperature information of different areas in the insulating coating area included in the image to be inspected, and further analyze the temperature abnormality area to determine the coating detection result of the insulating coating area.

The insulating coating on the electrode to be inspected is hot melt adhesive, which has a higher temperature than the electrode to be inspected. Therefore, if the coating is uniform, the temperature information in the image to be inspected should be relatively uniform. However, if the temperature information in the image to be inspected is unevenly distributed, some are high and some are low, the area with lower temperature is the area of missed coating (such as the area without hot melt adhesive or the area with thin coating), which is the area to be paid attention to in coating inspection.

Based on this, for example, the detection host 200 can determine the area with a temperature less than a preset temperature threshold according to the temperature information of different areas in the image to be inspected, and use the area as the temperature abnormality area, and can further read the setting information of the weld print, determine the weld print area in the insulating coating area, and obtain the positional relationship between the temperature abnormality area and the weld print area in the insulating coating area, so as to obtain the coating information of the temperature abnormality area when there is an overlap between the temperature abnormality area and the weld print area in the insulating coating area, and determine the coating detection result of the insulating coating area according to the coating information. Among them, the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area.

In the embodiment of the present application, the provided insulating coating detection system includes: an infrared camera device and a detection host. The acquisition angle of the infrared camera device is set to the insulating coating area of the electrode sheet to be inspected; the infrared camera device is used to collect the image to be inspected of the insulating coating area on the electrode sheet to be inspected; the detection host is used to determine the temperature abnormality area on the insulating coating area according to the image to be inspected, and when the temperature abnormality area overlaps with the weld mark area in the insulating coating area, obtain the coating information of the temperature abnormality area; according to the coating information, determine the coating detection result of the insulating coating area. Among them, the image to be inspected includes the temperature information of different areas in the insulating coating area, and the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area. In the above insulating coating detection system, the image to be inspected including the temperature information of different areas in the insulating coating area is used to perform coating detection. The image to be inspected including the temperature information can accurately reflect the coating coating condition on the electrode sheet to be inspected, is not affected by ambient light, improves the reliability of the acquired image to be inspected, and correspondingly improves the accuracy of the coating detection result, and takes into account the weld mark area on the insulating coating area, thereby improving the reliability of the coating detection result.

In one embodiment, as shown in FIG. 2 , the insulating coating detection system includes not only an infrared camera 100 but also a visible light camera 300 , and the acquisition viewing angle of the visible light camera 300 is also set to the insulating coating area of the electrode sheet to be inspected.

The visible light camera device 300 is used to collect visible light images of the insulating coating area. Exemplarily, the visible light camera device 300 is a charge coupled device (CCD) camera. The visible light image is an RGB image.

Optionally, the visible light camera device 300 and the infrared camera device 100 can be set independently or bundled. Exemplarily, the visible light camera device 300 and the infrared camera device 100 can be bundled so that the visible light camera device 300 and the infrared camera device 100 can obtain the visible light image and the image to be inspected of the insulating coating area on the electrode sheet to be inspected at the same acquisition angle.

The detection host 200 can communicate with the visible light camera device 300 to obtain the visible light image collected by the visible light camera device 300, and determine the coating detection result of the insulating coating area based on the visible light image.

Exemplarily, the detection host 200 can obtain the image to be inspected captured by the infrared camera device 100 and the visible light image captured by the visible light camera device 300, and determine the first detection result of the insulating coating area based on the image to be inspected, and determine the second detection result of the insulating coating area based on the visible light image, and then determine the coating detection result of the insulating coating area according to the first detection result and the second detection result; it can also first use the visible light image to perform an initial inspection on the insulating coating area on the electrode sheet to be inspected to obtain a preliminary inspection result, and if the preliminary inspection result is unqualified, use the image to be inspected to re-inspect the insulating coating area on the electrode sheet to be inspected, and use the re-inspection result obtained as the final coating detection result.

In this embodiment of the present application, the insulating coating detection system provided also includes a visible light camera. The acquisition angle of the visible light camera is set directly at the insulating coating area of the electrode sheet to be inspected, and is used to collect visible light images of the insulating coating area. The above-mentioned insulating coating detection system includes both infrared camera equipment and visible light camera equipment, which can collect different types of images of the insulating layer area, so as to realize coating detection of the insulating coating area on the electrode sheet to be inspected based on different types of images, thereby reducing false detection or missed detection caused by relying on a single type of image, and improving the accuracy of batch detection while improving the accuracy of single detection.

Those skilled in the art will appreciate that the structures shown in FIGS. 1 and 2 are merely block diagrams of partial structures related to the embodiments of the present application, and do not constitute a limitation on the insulating coating detection system to which the embodiments of the present application are applied. A specific insulating coating detection system may include more or fewer components than those shown in the figures, or combine certain components, or have a different arrangement of components.

Next, the insulating coating detection method provided in the embodiment of the present application is described in detail, and the method is applied to the detection host in FIG. 1 as an example for explanation. In one embodiment, as shown in FIG. 3, the insulating coating detection method provided includes the following steps:

S310, obtaining an image to be inspected of the insulating coating region on the electrode sheet to be inspected; the image to be inspected includes temperature information of different regions in the insulating coating region.

The electrode sheet to be tested is an electrode sheet in a battery cell. For example, the electrode sheet to be tested may be a cathode sheet in a battery cell. The insulating coating area on the electrode sheet to be tested is an area on the surface of the electrode sheet to be tested where a hot melt insulating coating is applied.

Optionally, the detection host can communicate with the temperature sensor and the visible light camera device to obtain the temperature information of different areas in the insulating coating area on the electrode sheet to be inspected collected by the temperature sensor, and obtain the regional image of the insulating coating area through the visible light camera device to mark the temperature information of different areas at the corresponding positions in the regional image, and obtain the image to be inspected of the insulating coating area on the electrode sheet to be inspected.

Exemplarily, the visible light imaging device can be set at the position of the insulating coating area on the electrode sheet to be inspected to directly obtain a regional image of the insulating coating area. It can also obtain an initial image of the electrode sheet to be inspected, and then crop the portion of the insulating coating area on the electrode sheet to be inspected from the initial image according to the coating boundary to obtain a regional image of the insulating coating area.

Optionally, the detection host can also communicate with the infrared camera device to obtain the image to be inspected formed based on the temperature field of different areas on the surface of the insulating coating area. The infrared detector in the infrared camera device receives the infrared radiation energy on the surface of the insulating coating area, and converts the infrared radiation energy on the surface of the insulating coating area into a temperature value according to the conversion relationship between the radiation energy and the temperature, thereby forming the temperature field of different areas on the surface of the insulating coating area. The image to be inspected formed based on the temperature field of the insulating coating area is the infrared thermal image of the insulating coating area.

S320, determining the temperature abnormality area on the insulating coating area according to the image to be inspected.

Optionally, after obtaining the image to be inspected including temperature information, the detection host can compare the temperature information of different regions in the image to be inspected with the preset temperature condition to determine the region on the insulating coating region that does not meet the preset temperature condition and use it as the temperature abnormality region on the insulating coating region. Exemplarily, the temperature information includes a temperature value, the preset temperature condition includes a temperature threshold, and the detection host can compare the temperature values of different regions with the temperature threshold to determine the temperature abnormality region on the insulating coating region.

To improve the efficiency of determining the temperature abnormality area, the temperature abnormality area can also be determined by a preset temperature detection model. Optionally, the detection host can input the image to be detected into a preset temperature detection model to obtain the temperature abnormality area on the insulating coating area.

The temperature detection model is a machine learning model for detecting abnormal temperature areas in an image. Exemplarily, the temperature detection model is a neural network model trained using a large number of sample images with abnormal temperature areas annotated.

Optionally, the detection host is equipped with a pre-trained temperature detection model. After the detection host obtains the image to be detected in the insulating coating area, the image to be detected is input into the temperature detection model, and the temperature detection model identifies the temperature abnormal area in the image to be detected and uses it as the temperature abnormal area on the insulating coating area. This simplifies the process of determining the temperature abnormal area and correspondingly improves the efficiency of determining the temperature abnormal area.

The area with lower temperature in the insulating coating area is the coating leakage area. Based on this, the detection host can regard the area with temperature value less than the temperature threshold in the insulating coating area as the temperature abnormality area.

S330. When the temperature abnormality region overlaps with the weld mark region in the insulating coating region, obtain coating information of the temperature abnormality region; the coating information includes a coating thickness determined according to a pixel value of the temperature abnormality region.

The insulating coating applied on the electrode sheet to be inspected is used to protect the weld marks on the electrode sheet to be inspected. The coating information of the temperature abnormality area is used to characterize the actual coating state of the temperature abnormality area. The coating thickness of the temperature abnormality area is the thickness of the insulating coating applied on the temperature abnormality area.

It should be noted that the temperature abnormality area overlaps with the weld mark area, indicating that the weld mark is not covered by the insulating coating, but is missed, or the coating is thin, and the actual coating state of the temperature abnormality area needs to be further determined. For example, as shown in FIG4 , the temperature abnormality area B on the insulating coating area S overlaps with the weld mark area P.

Optionally, after obtaining the abnormal temperature region in the insulating coating region, the detection host may obtain the positional relationship between the abnormal temperature region and the weld print region in the insulating coating region to determine whether the abnormal temperature region and the weld print region overlap, and if there is an overlap, further obtain the coating information of the abnormal temperature region, which may specifically include the coating thickness determined based on the pixel value of the abnormal temperature region. Exemplarily, the coating information of the abnormal temperature region may also include at least one of the area of the abnormal temperature region, the position of the missing coating, or the level of the missing coating.

Optionally, for coating thickness, the detection host can determine the coating thickness corresponding to the pixel value in the temperature anomaly area according to the corresponding relationship between the pixel value and the coating thickness to obtain the coating thickness in the temperature anomaly area. For example, the coating thickness corresponding to the pixel values of all pixels in the temperature anomaly area is obtained, and the average value of all coating thicknesses is taken as the coating thickness in the temperature anomaly area. For the abnormality level, the detection host can compare the temperature value of the temperature anomaly area with the abnormality level table to determine the level of coating leakage in the temperature anomaly area. Among them, the abnormality level table includes coating leakage levels corresponding to different temperature ranges. For the coating leakage position, the detection host can also obtain the position of the temperature anomaly area in the electrode sheet to be inspected to obtain the coating leakage position.

S340: Determine the coating detection result of the insulating coating area according to the coating information.

The coating detection result may include the detected coating information, and may also include a qualified or unqualified determination result obtained based on the coating information.

Optionally, after the detection host obtains the coating information of the temperature abnormality area, the coating information can be directly used as the coating detection result of the insulating coating area, or the coating information can be compared with the corresponding coating conditions to obtain the coating detection result of whether the coating information meets the coating conditions. Exemplarily, when the coating information meets the corresponding coating conditions, the detection host determines that the coating detection result of the insulating coating area is qualified; conversely, when the coating information does not meet the corresponding coating conditions, the detection host determines that the coating detection result of the insulating coating area is unqualified.

In an embodiment of the present application, an image to be inspected of the insulating coating area on the electrode sheet to be inspected is obtained to determine the temperature anomaly area on the insulating coating area according to the image to be inspected, and when the temperature anomaly area overlaps with the weld mark area in the insulating coating area, the coating information of the temperature anomaly area is obtained, so as to determine the coating detection result of the insulating coating area according to the coating information. Among them, the image to be inspected includes the temperature information of different areas in the insulating coating area, and the coating information includes the coating thickness determined according to the pixel value of the temperature anomaly area. In the above method, the coating detection is performed using the image to be inspected including the temperature information of different areas in the insulating coating area. The image to be inspected including the temperature information can accurately reflect the coating condition on the electrode sheet to be inspected, is not affected by ambient light, improves the reliability of the acquired image to be inspected, and correspondingly improves the accuracy of the coating detection result, and takes into account the weld mark area on the insulating coating area, thereby improving the reliability of the coating detection result.

The image to be inspected including temperature information can be obtained based on the temperature field on the surface of the insulating coating area. Based on this, in one embodiment, as shown in FIG5 , the above S310, obtaining the image to be inspected of the insulating coating area on the electrode sheet to be inspected, includes:

S510, obtaining the temperature fields of different areas on the surface of the insulating coating area.

The temperature field of the insulating coating area is used to characterize the temperature distribution on the insulating coating area.

Optionally, the detection host can obtain the temperature values of different areas on the surface of the insulating coating area by contact measurement, or can obtain the temperature values of different areas on the surface of the insulating coating area by non-contact measurement, thereby forming a temperature field including temperature values at different positions. Exemplarily, the contact measurement method includes contacting the insulating coating area with a temperature sensor, and forming a temperature field based on the temperature value collected by the temperature sensor; the non-contact measurement method includes receiving the thermal radiation energy of the insulating coating area, and forming a temperature field based on the received thermal radiation energy, and because there is no need to contact the insulating coating area, the safety and reliability of temperature field acquisition can be correspondingly improved.

S520, generating an image to be inspected according to the temperature fields of different areas on the surface of the insulating coating area.

Among them, the temperature field, the image to be inspected and the insulating coating area correspond one to one, that is, each position point on the insulating coating area corresponds to the temperature value at the corresponding position in the temperature field, and corresponds to the pixel value at the corresponding position in the image to be inspected. The temperature value in the temperature field and the pixel value in the inspection image can be converted to each other.

Optionally, after obtaining the temperature field of different areas on the surface of the insulating coating area, the detection host can convert the temperature values at different positions of the temperature field into pixel values, and form the image to be inspected of the corresponding insulating coating area from the converted pixel values at different positions. Exemplarily, the pixel value can be a grayscale value. The detection host converts each temperature value in the temperature field corresponding to the insulating coating area into a grayscale value according to the conversion relationship that the larger the temperature value, the smaller the grayscale value, to form the image to be inspected of the corresponding insulating coating area.

In the embodiment of the present application, the temperature fields of different areas on the surface of the insulating coating area are obtained to generate the image to be inspected according to the temperature fields of different areas on the surface of the insulating coating area. In the above method, by using a single data source, namely the temperature field, to generate the image to be inspected, the acquisition method of the image to be inspected including temperature information is simplified, and the acquisition convenience is improved, thereby improving the acquisition efficiency of the image to be inspected and the detection efficiency.

The temperature information in the image to be inspected can be represented by the temperature quantization value of each pixel in the image to be inspected. Based on this, in one embodiment, as shown in FIG6 , the above S320, determining the temperature abnormal area on the insulating coating area according to the image to be inspected, includes:

S610: Obtain the temperature quantization value of each pixel in the image to be inspected.

Exemplarily, the temperature quantization value may be a temperature value corresponding to a pixel point, or may be a pixel value converted from a temperature value, such as a grayscale value.

Optionally, the detection host may obtain the temperature value of each pixel in the image to be detected as the temperature quantization value of the corresponding pixel, or may obtain the grayscale value of each pixel in the image to be detected as the temperature quantization value of the corresponding pixel.

S620: extracting from the image to be inspected an area consisting of pixels whose temperature quantization values are within a preset range as an abnormal temperature area on the insulating coating area.

The preset range may be a temperature value range or a grayscale value range, and a temperature value/grayscale value of a pixel point within the preset range indicates that the pixel point belongs to a coating-missing area in the insulating coating area.

Optionally, after obtaining the temperature quantization value of each pixel in the image to be inspected, for each pixel, the detection host compares the temperature quantization value of the pixel with a preset range to determine the pixel within the preset range based on the comparison result, and uses the area formed by the pixel points in the image to be inspected that are within the preset range as the temperature abnormality area on the insulating coating area.

In the embodiment of the present application, the temperature quantization value of each pixel in the image to be inspected is obtained to extract the area composed of pixels whose temperature quantization values are within a preset range from the image to be inspected as the temperature abnormality area on the insulating coating area. In the above method, the temperature abnormality area is determined based on the temperature quantization value of each pixel, and the temperature quantization value of each pixel can accurately reflect the actual temperature distribution on the insulating coating area, thereby improving the accuracy of the temperature abnormality area determined based on the temperature quantization value.

The temperature abnormality area and the insulating coating area may not overlap. In one embodiment, the method further includes:

When there is no overlap between the abnormal temperature area and the weld mark area, it is determined that the coating inspection result of the insulating coating area is qualified.

There is no overlap between the abnormal temperature area and the weld mark area, indicating that the weld mark is covered by the insulating coating and is not missed. For example, as shown in FIG4 , the abnormal temperature area A on the insulating coating area S does not overlap with the weld mark area P.

Optionally, when it is determined that there is no overlap between the temperature abnormality area and the weld mark area, indicating that the weld mark is covered by the insulating coating and the risk of the weld mark being exposed and causing a short circuit in the battery cell is low, the detection host determines that the coating detection result of the insulating coating area is qualified.

In the embodiment of the present application, when the temperature abnormality area and the weld mark area do not overlap, the coating detection result of the insulating coating area is determined to be qualified. In the above method, the short circuit risk is accurately estimated based on whether the temperature abnormality area and the weld mark area overlap, thereby improving the accuracy and reliability of the coating detection result.

The coating information of the temperature abnormality region includes the area and coating thickness of the temperature abnormality region. Based on this, in one embodiment, as shown in FIG. 7 , the coating information of the temperature abnormality region is obtained in the above S330, including:

S710, obtaining the area of the temperature abnormality region, and obtaining the coating thickness of the temperature abnormality region.

Optionally, the detection host can determine the regional area and coating thickness of the temperature abnormality region based on the pixels in the temperature abnormality region. Exemplarily, for the regional area, the detection host can count the number of pixels in the temperature abnormality region, and determine the total area corresponding to all pixels in the temperature abnormality region based on the correspondence between a single pixel and the area, as the regional area of the temperature abnormality region. For the coating thickness, the detection host can determine the coating thickness corresponding to the pixel values of all pixels in the temperature abnormality region based on the correspondence between the pixel value and the coating thickness, and obtain the average value of all coating thicknesses as the coating thickness of the temperature abnormality region.

S720: Determine the area and coating thickness of the region as coating information of the temperature abnormality region.

Optionally, after obtaining the area and coating thickness of the temperature abnormality region, the detection host may use the area and coating thickness together as coating information of the temperature abnormality region.

In the embodiment of the present application, the area of the temperature abnormality region is obtained, and the coating thickness of the temperature abnormality region is obtained, so that the area and the coating thickness are determined as the coating information of the temperature abnormality region. In the above method, the coating information includes not only the area but also the thickness, which improves the diversity of information. The coating detection results can be determined from the two aspects of area and thickness in the future, which improves the comprehensiveness of the detection and correspondingly improves the accuracy and reliability of the coating detection results.

Pixel points with different pixel values in the temperature abnormality region correspond to different coating thicknesses. Based on this, in one embodiment, as shown in FIG8 , obtaining the coating thickness in the temperature abnormality region in S710 includes:

S810, acquiring target pixel points in the temperature abnormality area.

Exemplarily, the target pixel is a pixel at the center of the temperature abnormality area.

Optionally, the detection host may extract the region boundary of the temperature anomaly region, obtain the geometric center of the region boundary as the center position of the temperature anomaly region, and use the pixel point at the center position as the target pixel point.

S820: Determine the coating thickness corresponding to the pixel value of the target pixel as the coating thickness of the temperature abnormality area.

Optionally, after obtaining the target pixel point in the temperature anomaly area, the detection host can obtain the pixel value of the target pixel point, and determine the coating thickness corresponding to the pixel value of the target pixel point based on the corresponding relationship between the pixel value and the coating thickness, so as to determine the coating thickness as the coating thickness in the temperature anomaly area.

In the embodiment of the present application, by obtaining the target pixel point in the temperature anomaly area, the thickness corresponding to the pixel value of the target pixel point is determined as the coating thickness. In the above method, it is not necessary to determine the coating thickness based on all the pixel points in the temperature anomaly area, but only representative target pixel points are needed to determine the coating thickness, which greatly reduces the amount of data processing, saves processing time, improves processing efficiency, and simultaneously improves the coating detection efficiency.

In order to improve the representativeness of the coating thickness for the entire temperature abnormality region, the coating thickness may also be determined based on all pixels in the temperature abnormality region. Based on this, in one embodiment, as shown in FIG9 , the coating thickness of the temperature abnormality region is obtained in S710, including:

S910, obtaining the pixel value of each pixel point in the temperature abnormality area.

Optionally, the detection host may obtain a pixel value, such as a grayscale value, of each pixel point in the temperature abnormality area.

S920. Determine a pixel average value of the temperature abnormality region according to the pixel value of each pixel point in the temperature abnormality region.

Optionally, after obtaining the pixel value of each pixel point in the temperature abnormality area, the detection host averages all pixel values to obtain a pixel average value of the temperature abnormality area.

S930: Determine the coating thickness corresponding to the pixel average value as the coating thickness in the temperature abnormality area.

Optionally, an average pixel value of the temperature abnormality area is obtained, and the detection host determines the coating thickness corresponding to the average pixel value according to the corresponding relationship between the pixel value and the coating thickness, so as to determine the coating thickness as the coating thickness of the temperature abnormality area.

In the embodiment of the present application, the pixel value of each pixel point in the temperature anomaly region is obtained, and the pixel average value of the temperature anomaly region is determined according to the pixel value of each pixel point in the temperature anomaly region, so that the coating thickness corresponding to the pixel average value is determined as the coating thickness of the temperature anomaly region. In the above method, the coating thickness is determined based on all the pixel points in the temperature anomaly region, which improves the representativeness of the obtained coating thickness for the entire temperature anomaly region, reduces the influence of individual error points on the coating thickness, and thus improves the reliability of the obtained coating thickness in the temperature anomaly region.

In the case where the coating information includes coating thickness and area, in one embodiment, as shown in FIG. 10 , the above S340, determining the coating detection result of the insulating coating area according to the coating information, includes:

S1010. Determine a thickness detection result of the insulating coating area according to the coating thickness.

Optionally, when the coating information includes the coating thickness and the area of the region, the detection host may first detect the coating thickness to obtain the thickness detection result of the insulating coating region. Exemplarily, the detection host may compare the coating thickness of the temperature abnormality region with the preset thickness condition to determine whether the coating thickness of the temperature abnormality region meets the preset thickness condition. Wherein, if the coating thickness meets the preset thickness condition, the thickness detection result of the insulating coating region is determined to be qualified; conversely, if the coating thickness does not meet the preset thickness condition, the thickness detection result of the insulating coating region is determined to be unqualified.

S1020. When the thickness test result is unqualified, determine that the coating test result is unqualified.

Optionally, when the thickness test result is unqualified, indicating that the electrode sheet to be tested has a high risk of short circuit, the testing host does not need to determine the area of the region, and can directly determine that the coating test result is unqualified.

S1030. When the thickness test result is qualified, determine the coating test result according to the area of the region.

Optionally, when the thickness test result is qualified, it indicates that the electrode sheet to be tested has a short circuit risk, but the risk level still needs to be further determined, and the detection host further determines the area of the region to determine the coating detection result. Exemplarily, the detection host can compare the area of the temperature abnormality region with the preset area condition to determine whether the area of the temperature abnormality region meets the preset area condition. Among them, when the area meets the preset area condition, the coating detection result of the insulating coating area is determined to be qualified; conversely, when the area does not meet the preset thickness condition, the coating detection result of the insulating coating area is determined to be unqualified.

In the embodiment of the present application, when the coating information includes the coating thickness and the regional area, the thickness detection result of the insulating coating area is determined according to the coating thickness. When the thickness detection result is unqualified, the coating detection result is determined to be unqualified; when the thickness detection result is qualified, the coating detection result is determined according to the regional area. In the above method, the detection of both the area and thickness of the temperature abnormality area is taken into account to comprehensively determine the coating detection result, which improves the accuracy and reliability of the coating detection result while improving the comprehensiveness of the detection.

The preset thickness condition includes a thickness threshold. In one embodiment, as shown in FIG11 , the above S1010, determining the thickness detection result of the insulating coating area according to the coating thickness, includes:

S1110. When the coating thickness is less than or equal to the thickness threshold, determine that the thickness detection result of the insulating coating area is unqualified.

The thickness threshold is the lower limit value that satisfies the preset thickness condition. If the coating thickness is greater than the thickness threshold, it indicates that the preset thickness condition is satisfied; if the coating thickness is less than or equal to the thickness threshold, it indicates that the preset thickness condition is not satisfied.

Optionally, after obtaining the coating thickness in the temperature abnormality area, the detection host may compare the coating thickness with a thickness threshold, and determine that the thickness detection result of the insulating coating area is unqualified when the coating thickness is less than or equal to the thickness threshold.

S1120. When the coating thickness is greater than the thickness threshold, determine that the thickness detection result of the insulating coating area is qualified.

Optionally, after obtaining the coating thickness in the temperature abnormality area, the detection host may compare the coating thickness with a thickness threshold, and determine that the thickness detection result of the insulating coating area is qualified when the coating thickness is greater than the thickness threshold.

In the embodiment of the present application, when the coating thickness is less than or equal to the thickness threshold, the thickness detection result of the insulating coating area is determined to be unqualified; when the coating thickness is greater than the thickness threshold, the thickness detection result of the insulating coating area is determined to be qualified. In the above method, the detection result is determined based on the threshold comparison method, which simplifies the determination process, saves time, and improves the determination efficiency of the thickness detection result.

The preset area condition includes an area threshold. In one embodiment, as shown in FIG12 , the coating detection result is determined according to the area of the region in S1030, including:

S1210. When the area of the region is less than or equal to the area threshold, determine that the coating detection result is qualified.

The area threshold is the upper limit value that satisfies the preset thickness condition. If the area of the region is less than or equal to the area threshold, it means that the preset area condition is met; if the area of the region is greater than the area threshold, it means that the preset area condition is not met.

Optionally, after obtaining the area of the temperature abnormality area, the detection host may compare the area with an area threshold, and determine that the coating detection result of the insulating coating area is qualified when the area is less than or equal to the area threshold.

S1220. When the area of the region is greater than the area threshold, determine that the coating inspection result is unqualified.

Optionally, after obtaining the area of the abnormal temperature region, the detection host may compare the area with an area threshold, and determine that the coating detection result of the insulating coating region is unqualified when the area is greater than the area threshold.

In the embodiment of the present application, when the area of the region is less than or equal to the area threshold, the coating detection result of the insulating coating region is determined to be qualified; when the area of the region is greater than the area threshold, the coating detection result of the insulating coating region is determined to be unqualified. In the above method, the detection result is determined based on the threshold comparison method, which simplifies the determination process, saves time, and improves the determination efficiency of the coating detection result.

To improve the reliability of detection, in one embodiment, as shown in FIG13 , before the above S310, obtaining the image to be inspected of the insulating coating area on the electrode sheet to be inspected, the method further includes:

S1310, acquiring a visible light image of the insulating coating area.

The visible light image is an image captured by a visible light camera. Exemplarily, the visible light camera is a charge coupled device (CCD) camera. The visible light image is an RGB image.

Optionally, the detection host can communicate with the visible light camera device to obtain a visible light image of the insulating coating area captured by the visible light camera device. Exemplarily, the visible light camera device can be set at the position of the insulating coating area on the electrode sheet to be inspected to directly obtain a visible light image of the insulating coating area, and can also obtain an initial image of the electrode sheet to be inspected, and then cut out the portion of the insulating coating area on the electrode sheet to be inspected from the initial image according to the coating boundary to obtain a visible light image of the insulating coating area.

S1320. Determine the initial inspection result of the insulating coating area based on the visible light image.

The preliminary inspection result is used to characterize whether there is a coating-missing area in the insulating coating area. If there is no coating-missing area, the preliminary inspection result is qualified; if there is a coating-missing area, the preliminary inspection result is unqualified. For example, if the preliminary inspection result is unqualified, the preliminary inspection result may also include coating-missing information of the identified coating-missing area, such as coating-missing position, coating-missing area, coating-missing grade, etc.

Optionally, after obtaining the visible light image of the insulating coating area, the detection host can input the visible light image into a pre-selected and trained coating leakage detection model, and the coating leakage detection model identifies the coating leakage area in the visible light image and outputs a preliminary inspection result. The detection host can also determine based on the pixel difference between the coating leakage area and the normal area in the insulating coating area.

S1330: When the initial inspection result is unqualified, the step of obtaining an image of the insulating coating area on the electrode sheet to be inspected is performed.

Optionally, when the initial inspection result is qualified, the inspection host does not need to execute the step of acquiring the inspection image of the insulating coating area on the electrode sheet to be inspected, and can continue to inspect the next electrode sheet to be inspected.

Visible light images are easily affected by ambient light, which may cause false detection of missed coating areas and cannot accurately reflect the coating conditions on the insulating coating area. Therefore, if the initial inspection result is unqualified, the insulating coating area on the electrode sheet to be inspected needs to be re-inspected.

Optionally, when the initial inspection result is unqualified, the inspection host executes the step of acquiring the image to be inspected of the insulating coating area on the electrode sheet to be inspected, so as to perform a re-inspection using the image to be inspected which is different from the visible light image.

In an embodiment of the present application, before obtaining the image of the insulating coating area on the electrode sheet to be inspected, a visible light image of the insulating coating area is obtained to determine the initial inspection result of the insulating coating area based on the visible light image, and when the initial inspection result is unqualified, the step of obtaining the image of the insulating coating area on the electrode sheet to be inspected is performed. In the above method, the insulating coating area on the electrode sheet to be inspected is initially inspected using a visible light image, and the insulating coating area is re-inspected using an image to be inspected that is different from the visible light image. The reliability of the coating inspection result obtained in the end is improved by the double inspection method, and the utilization rate of the electrode sheet is improved. At the same time, the timeliness of the visible light image acquisition is strong, and the initial inspection process is simple and fast, which can speed up the inspection efficiency of qualified electrode sheets to be inspected, thereby improving the inspection efficiency of batch inspection.

In one embodiment, as shown in FIG14 , the present application further provides an insulating coating detection method, comprising the following steps:

S1401, determining a preliminary inspection result of the insulating coating area on the electrode sheet to be inspected according to a visible light image of the insulating coating area;

S1402, when the initial inspection result is unqualified, obtaining the temperature field of different areas on the surface of the insulating coating area according to the infrared radiation energy of the surface of the insulating coating area on the electrode sheet to be inspected;

S1403, generating an image to be inspected of the insulating coating area according to the temperature fields of different areas on the surface of the insulating coating area;

S1404, obtaining the gray value of each pixel in the image to be inspected;

S1405, extracting from the image to be inspected an area consisting of pixels whose grayscale values are within a preset range as an abnormal temperature area on the insulating coating area;

S1406, obtaining a positional relationship between the temperature abnormality area and the weld mark area in the insulating coating area;

S1407, when the temperature abnormality area and the weld mark area do not overlap, determining that the coating test result of the insulating coating area is qualified;

S1408. When the temperature abnormality region overlaps with the weld print region, obtain the area and coating thickness of the temperature abnormality region;

S1409, when the coating thickness is less than or equal to the thickness threshold, determining that the thickness detection result of the insulating coating area is unqualified, and accordingly, the coating detection result is unqualified;

S1410, when the coating thickness is greater than the thickness threshold, determining that the thickness detection result of the insulating coating area is qualified;

S1411. When the thickness test result is qualified and the area of the region is less than or equal to the area threshold, determine that the coating test result is qualified;

S1412: When the thickness test result is qualified and the area of the region is greater than the area threshold, determine that the coating test result is unqualified.

The specific process in the above steps can be found in the relevant steps in the above embodiments, which will not be repeated here.

It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

In one embodiment, as shown in FIG. 15 , an insulating coating detection device is provided, comprising: an image acquisition module 1501 , an abnormality determination module 1502 , a coating detection module 1503 and a result determination module 1504 ; wherein,

The image acquisition module 1501 is used to acquire an image to be inspected of the insulating coating area on the electrode sheet to be inspected; the image to be inspected includes temperature information of different areas in the insulating coating area;

The abnormality determination module 1502 is used to determine the temperature abnormality area on the insulating coating area according to the image to be inspected;

The coating detection module 1503 is used to obtain coating information of the temperature abnormality area when there is overlap between the temperature abnormality area and the welding mark area in the insulating coating area; the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area;

The result determination module 1504 is used to determine the coating detection result of the insulating coating area according to the coating information.

In one embodiment, the image acquisition module 1501 includes:

The temperature acquisition submodule is used to obtain the temperature field of different areas on the surface of the insulating coating area;

The image generation submodule is used to generate an image to be inspected according to the temperature field of different areas on the surface of the insulating coating area.

In one embodiment, the anomaly determination module 1502 includes:

The acquisition submodule is used to obtain the temperature quantization value of each pixel in the image to be inspected;

The area submodule is used to extract the area composed of pixel points whose temperature quantization values are within a preset range from the image to be inspected as the temperature abnormality area on the insulating coating area.

In one embodiment, the above device further comprises:

The non-overlapping module is used to determine that the coating inspection result of the insulating coating area is qualified when there is no overlap between the temperature abnormality area and the welding print area.

In one embodiment, the coating detection module 1503 includes:

The coating submodule is used to obtain the area of the temperature abnormality region and the coating thickness of the temperature abnormality region;

The information submodule is used to determine the area and coating thickness of the region as coating information of the temperature abnormality region.

In one embodiment, the coating submodule includes:

Pixel unit, used to obtain target pixel points in the temperature abnormality area;

The thickness unit is used to determine the thickness corresponding to the pixel value of the target pixel point as the coating thickness.

In one embodiment, the coating submodule includes:

A pixel value unit, used to obtain the pixel value of each pixel point in the temperature anomaly area;

An averaging unit, used to determine a pixel average value of the temperature abnormality region according to the pixel value of each pixel point in the temperature abnormality region;

The coating unit is used to determine the coating thickness corresponding to the pixel average value as the coating thickness of the temperature abnormal area.

In one embodiment, the coating information includes coating thickness and area; the result determination module 1504 includes:

A thickness result submodule, used to determine the thickness detection result of the insulating coating area according to the coating thickness;

A first result submodule, for determining that the coating test result is unqualified when the thickness test result is unqualified;

The second result submodule is used to determine the coating detection result according to the area of the region when the thickness detection result is qualified.

In one embodiment, the thickness result submodule includes:

A first result unit is used to determine that the thickness detection result of the insulating coating area is unqualified when the coating thickness is less than or equal to the thickness threshold;

The second result unit is used to determine that the thickness detection result of the insulating coating area is qualified when the coating thickness is greater than the thickness threshold.

In one embodiment, the second result submodule includes:

A first coating unit, used to determine that the coating test result is qualified when the area of the region is less than or equal to the area threshold;

The second coating unit is used to determine that the coating detection result is unqualified when the area of the region is greater than the area threshold.

In one embodiment, the above device further comprises:

A visible light module, used to obtain a visible light image of the insulating coating area;

A preliminary inspection module, used to determine the preliminary inspection result of the insulating coating area based on the visible light image;

The re-inspection module is used to execute the step of obtaining the image to be inspected of the insulating coating area on the electrode sheet to be inspected when the initial inspection result is unqualified.

Each module in the above insulating coating detection device can be implemented in whole or in part by software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

The image to be inspected of the insulating coating area on the electrode sheet to be inspected is obtained; the image to be inspected includes temperature information of different areas in the insulating coating area; the temperature abnormality area on the insulating coating area is determined according to the image to be inspected; when the temperature abnormality area overlaps with the weld mark area in the insulating coating area, the coating information of the temperature abnormality area is obtained; the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area; and the coating detection result of the insulating coating area is determined according to the coating information.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

The temperature fields of different areas on the surface of the insulating coating area are obtained; and the image to be inspected is generated according to the temperature fields of different areas on the surface of the insulating coating area.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

The temperature quantization value of each pixel in the image to be inspected is obtained; and the area formed by the pixel points whose temperature quantization values are within a preset range is extracted from the image to be inspected as the temperature abnormality area on the insulating coating area.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

When there is no overlap between the abnormal temperature area and the weld mark area, it is determined that the coating inspection result of the insulating coating area is qualified.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

The area of the temperature abnormality region and the coating thickness of the temperature abnormality region are obtained; and the area of the region and the coating thickness are determined as the coating information of the temperature abnormality region.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

Obtain a target pixel point in the temperature anomaly area; and determine the thickness corresponding to the pixel value of the target pixel point as the coating thickness.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

Obtaining the pixel value of each pixel point in the temperature abnormality area; determining the pixel average value of the temperature abnormality area according to the pixel value of each pixel point in the temperature abnormality area; and determining the coating thickness corresponding to the pixel average value as the coating thickness of the temperature abnormality area.

In one embodiment, the coating information includes coating thickness and area; when the processor executes the computer program, the following steps are also implemented:

The thickness test result of the insulating coating area is determined according to the coating thickness; when the thickness test result is unqualified, the coating test result is determined to be unqualified; when the thickness test result is qualified, the coating test result is determined according to the area of the area.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

When the coating thickness is less than or equal to the thickness threshold, the thickness detection result of the insulating coating area is determined to be unqualified; when the coating thickness is greater than the thickness threshold, the thickness detection result of the insulating coating area is determined to be qualified.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

When the area of the region is less than or equal to the area threshold, the coating detection result is determined to be qualified; when the area of the region is greater than the area threshold, the coating detection result is determined to be unqualified.

In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

Obtain a visible light image of the insulating coating area; determine a preliminary inspection result of the insulating coating area based on the visible light image; if the preliminary inspection result is unqualified, execute the step of obtaining an image to be inspected of the insulating coating area on the electrode sheet to be inspected.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

The image to be inspected of the insulating coating area on the electrode sheet to be inspected is obtained; the image to be inspected includes temperature information of different areas in the insulating coating area; the temperature abnormality area on the insulating coating area is determined according to the image to be inspected; when the temperature abnormality area overlaps with the weld mark area in the insulating coating area, the coating information of the temperature abnormality area is obtained; the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area; and the coating detection result of the insulating coating area is determined according to the coating information.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

The temperature fields of different areas on the surface of the insulating coating area are obtained; and the image to be inspected is generated according to the temperature fields of different areas on the surface of the insulating coating area.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

The temperature quantization value of each pixel in the image to be inspected is obtained; and the area formed by the pixel points whose temperature quantization values are within a preset range is extracted from the image to be inspected as the temperature abnormality area on the insulating coating area.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

When there is no overlap between the abnormal temperature area and the weld mark area, it is determined that the coating inspection result of the insulating coating area is qualified.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

The area of the temperature abnormality region and the coating thickness of the temperature abnormality region are obtained; and the area of the region and the coating thickness are determined as the coating information of the temperature abnormality region.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

Obtain a target pixel point in the temperature anomaly area; and determine the thickness corresponding to the pixel value of the target pixel point as the coating thickness.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

Obtaining the pixel value of each pixel point in the temperature abnormality area; determining the pixel average value of the temperature abnormality area according to the pixel value of each pixel point in the temperature abnormality area; and determining the coating thickness corresponding to the pixel average value as the coating thickness of the temperature abnormality area.

In one embodiment, the coating information includes coating thickness and area; when the computer program is executed by the processor, the following steps are also implemented:

The thickness test result of the insulating coating area is determined according to the coating thickness; when the thickness test result is unqualified, the coating test result is determined to be unqualified; when the thickness test result is qualified, the coating test result is determined according to the area of the area.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

When the coating thickness is less than or equal to the thickness threshold, the thickness detection result of the insulating coating area is determined to be unqualified; when the coating thickness is greater than the thickness threshold, the thickness detection result of the insulating coating area is determined to be qualified.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

When the area of the region is less than or equal to the area threshold, the coating detection result is determined to be qualified; when the area of the region is greater than the area threshold, the coating detection result is determined to be unqualified.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

Obtain a visible light image of the insulating coating area; determine a preliminary inspection result of the insulating coating area based on the visible light image; if the preliminary inspection result is unqualified, execute the step of obtaining an image to be inspected of the insulating coating area on the electrode sheet to be inspected.

In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

The image to be inspected of the insulating coating area on the electrode sheet to be inspected is obtained; the image to be inspected includes temperature information of different areas in the insulating coating area; the temperature abnormality area on the insulating coating area is determined according to the image to be inspected; when the temperature abnormality area overlaps with the weld mark area in the insulating coating area, the coating information of the temperature abnormality area is obtained; the coating information includes the coating thickness determined according to the pixel value of the temperature abnormality area; and the coating detection result of the insulating coating area is determined according to the coating information.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

The temperature fields of different areas on the surface of the insulating coating area are obtained; and the image to be inspected is generated according to the temperature fields of different areas on the surface of the insulating coating area.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

The temperature quantization value of each pixel in the image to be inspected is obtained; and the area formed by the pixel points whose temperature quantization values are within a preset range is extracted from the image to be inspected as the temperature abnormality area on the insulating coating area.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

When there is no overlap between the abnormal temperature area and the weld mark area, it is determined that the coating inspection result of the insulating coating area is qualified.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

The area of the temperature abnormality region and the coating thickness of the temperature abnormality region are obtained; and the area of the region and the coating thickness are determined as the coating information of the temperature abnormality region.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

Obtain a target pixel point in the temperature anomaly area; and determine the thickness corresponding to the pixel value of the target pixel point as the coating thickness.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

Obtaining the pixel value of each pixel point in the temperature abnormality area; determining the pixel average value of the temperature abnormality area according to the pixel value of each pixel point in the temperature abnormality area; and determining the coating thickness corresponding to the pixel average value as the coating thickness of the temperature abnormality area.

In one embodiment, the coating information includes coating thickness and area; when the computer program is executed by the processor, the following steps are also implemented:

The thickness test result of the insulating coating area is determined according to the coating thickness; when the thickness test result is unqualified, the coating test result is determined to be unqualified; when the thickness test result is qualified, the coating test result is determined according to the area of the area.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

When the coating thickness is less than or equal to the thickness threshold, the thickness detection result of the insulating coating area is determined to be unqualified; when the coating thickness is greater than the thickness threshold, the thickness detection result of the insulating coating area is determined to be qualified.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

When the area of the region is less than or equal to the area threshold, the coating detection result is determined to be qualified; when the area of the region is greater than the area threshold, the coating detection result is determined to be unqualified.

In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

Obtain a visible light image of the insulating coating area; determine a preliminary inspection result of the insulating coating area based on the visible light image; if the preliminary inspection result is unqualified, execute the step of obtaining an image to be inspected of the insulating coating area on the electrode sheet to be inspected.

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, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this 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 memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access 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 and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

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

The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims (14)

1. An insulating coating detection method, characterized in that the method comprises:

Acquiring an image to be detected of an insulating coating area on an electrode sheet to be detected; the image to be detected comprises temperature information of different areas in the insulating coating area;

acquiring a temperature quantization value of each pixel point in the image to be detected;

Extracting a region formed by pixel points with temperature quantized values within a preset range from the image to be detected, and taking the region as a temperature abnormal region on the insulating coating region;

acquiring coating information of the temperature anomaly region under the condition that the temperature anomaly region and a welding region in the insulating coating region are overlapped; the coating information comprises the coating thickness determined according to the pixel value of the temperature abnormal region;

determining a coating detection result of the insulating coating region according to the coating information;

and under the condition that the temperature abnormal region and the welding region are not overlapped, determining that the coating detection result of the insulating coating region is qualified.

2. The method of claim 1, wherein the acquiring the image of the region of the insulating coating on the electrode sheet to be inspected comprises:

Acquiring temperature fields of different areas on the surface of the insulating coating area;

and generating the image to be detected according to the temperature fields of different areas on the surface of the insulating coating area.

3. The method of claim 1, wherein the obtaining coating information for the temperature anomaly region comprises:

acquiring the area of the temperature abnormal area and the coating thickness of the temperature abnormal area;

and determining the area and the coating thickness as coating information of the abnormal temperature area.

4. A method according to claim 3, wherein said obtaining the coating thickness of the temperature anomaly region comprises:

Acquiring a target pixel point in the temperature abnormal region;

and determining the thickness corresponding to the pixel value of the target pixel point as the coating thickness.

5. A method according to claim 3, wherein said obtaining the coating thickness of the temperature anomaly region comprises:

acquiring pixel values of all pixel points in the temperature abnormal region;

determining a pixel average value of the temperature anomaly region according to the pixel values of all the pixel points in the temperature anomaly region;

and determining the coating thickness corresponding to the pixel average value as the coating thickness of the temperature anomaly region.

6. The method of any one of claims 1-5, wherein the coating information further comprises a zone area; the determining the coating detection result of the insulating coating area according to the coating information comprises the following steps:

Determining a thickness detection result of the insulating coating region according to the coating thickness;

under the condition that the thickness detection result is unqualified, determining that the coating detection result is unqualified;

And under the condition that the thickness detection result is qualified, determining the coating detection result according to the area of the area.

7. The method of claim 6, wherein said determining a thickness measurement of said insulating coating region based on said coating thickness comprises:

Determining that the thickness detection result of the insulating coating region is unqualified under the condition that the thickness of the coating is smaller than or equal to a thickness threshold value;

And under the condition that the thickness of the coating is larger than the thickness threshold value, determining that the thickness detection result of the insulating coating area is qualified.

8. The method of claim 6, wherein said determining said coating detection result from said area comprises:

Under the condition that the area of the area is smaller than or equal to an area threshold value, determining that the coating detection result is qualified;

and under the condition that the area of the area is larger than the area threshold value, determining that the coating detection result is unqualified.

9. The method according to any one of claims 1-5, wherein prior to said acquiring the image of the area of the insulating coating on the electrode sheet to be inspected, the method further comprises:

Obtaining a visible light image of the insulating coating region;

determining a primary detection result of the insulating coating area according to the visible light image;

and executing the step of acquiring the to-be-detected image of the insulating coating area on the electrode plate to be detected under the condition that the primary detection result is unqualified.

10. An insulation coating detection system, the insulation coating detection system comprising: an infrared camera device and a detection host; the acquisition view angle of the infrared camera equipment is just set in the insulation coating area of the electrode slice to be detected;

The infrared camera equipment is used for collecting images to be detected of the insulating coating area on the electrode sheet to be detected; the image to be detected comprises temperature information of different areas in the insulating coating area;

the detection host is used for acquiring a temperature quantized value of each pixel point in the image to be detected, extracting a region formed by the pixel points with the temperature quantized values within a preset range from the image to be detected, serving as a temperature abnormal region on the insulating coating region, and acquiring coating information of the temperature abnormal region under the condition that the temperature abnormal region is overlapped with a welding region in the insulating coating region; determining a coating detection result of the insulating coating region according to the coating information; the coating information comprises the coating thickness determined according to the pixel value of the temperature abnormal region; and under the condition that the temperature abnormal region and the welding region are not overlapped, determining that the coating detection result of the insulating coating region is qualified.

11. The system of claim 10, wherein the insulating coating detection system further comprises a visible light camera device; the acquisition view angle of the visible light camera equipment is opposite to the insulating coating area of the electrode slice to be detected;

The visible light camera equipment is used for collecting visible light images of the insulating coating area.

12. An insulating coating detection unit, said unit comprising:

the image acquisition module is used for acquiring an image to be detected of the insulating coating area on the electrode sheet to be detected; the image to be detected comprises temperature information of different areas in the insulating coating area;

The anomaly determination module is used for obtaining a temperature quantization value of each pixel point in the image to be detected; extracting a region formed by pixel points with temperature quantized values within a preset range from the image to be detected, and taking the region as a temperature abnormal region on the insulating coating region;

The coating detection module is used for acquiring coating information of the temperature abnormal region under the condition that the temperature abnormal region is overlapped with a welding region in the insulating coating region; the coating information comprises the coating thickness determined according to the pixel value of the temperature abnormal region;

The result determining module is used for determining a coating detection result of the insulating coating area according to the coating information;

And the non-overlapping module is used for determining that the coating detection result of the insulating coating area is qualified under the condition that the temperature abnormal area and the welding area are not overlapped.

13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 9 when the computer program is executed.

14. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 9.