Defect detection system and defect detection method

Abstract

The present application relates to the technical field of batteries. Provided are a defect detection system and a defect detection method. The defect detection system comprises: a conveying apparatus, which is used for conveying a battery electrode sheet to be subjected to detection; a photographic apparatus, which is arranged facing the conveying apparatus, and is used for capturing an image of the battery electrode sheet conveyed by the conveying apparatus, wherein the image of the battery electrode sheet is used for detection to determine whether there is a defect region; a laser scanner, which is arranged facing the conveying apparatus, and is used for receiving location information of the defect region, and scanning the defect region when the conveying apparatus has conveyed the defect region to a region where the laser scanner faces, so as to obtain height information of the defect region; and an analysis apparatus, which is used for determining the defect type of the defect region on the basis of image information of the defect region and the height information of the defect region. The present application can realize the defect detection of battery electrode sheets, can lower the risk of incorrect recognition of defects of the battery electrode sheets, and can improve the defect recognition efficiency.

Description

Defect detection system and defect detection method

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese patent application number 202410258751.7 filed with the Chinese Patent Office on March 7, 2024, entitled “Defect Detection System, Defect Detection Method and Related Equipment,” the entire contents of which are incorporated by reference into this application. Technical Field

[0003] The present application relates to the field of battery technology, and in particular to a defect detection system and a defect detection method. Background Art

[0004] Defects in battery pole pieces can affect battery performance, including reduced coulombic efficiency, rate capability, and capacity. Serious defects in battery pole pieces can even pose a risk of combustion or explosion. Therefore, defect detection of battery pole pieces is essential.

[0005] Summary of the Invention

[0006] The purpose of the embodiments of the present application is to provide a defect detection system and a defect detection method for realizing defect detection of battery pole pieces.

[0007] An embodiment of the present application provides a defect detection system, comprising: a conveying device for conveying a battery electrode to be inspected; a photographing device, disposed toward the conveying device, for photographing an image of the battery electrode conveyed by the conveying device to determine whether there is a defective area in the battery electrode; a laser scanner, disposed toward the conveying device, for receiving position information of the defective area, and scanning the defective area to obtain height information of the defective area when the conveying device conveys the defective area to the area toward which the laser scanner is directed; and an analyzing device, for determining the defect type of the defective area based on the image information of the defective area and the height information of the defective area.

[0008] In the above implementation, a camera is used to capture the battery electrode sheet being conveyed by the conveyor, thereby detecting the image of the battery electrode sheet and preliminarily detecting the defect area in the image of the battery electrode sheet. A laser scanner is then used to scan the defect area to obtain height information of the defect area. Finally, an analysis device is used to determine the defect type of the defect area by combining the image information and the height information of the defect area, thereby achieving defect detection for the battery electrode sheet. In addition, compared to defect detection using only the image of the battery electrode sheet, the solution of the embodiment of the present application combines the image information and the height information of the defect area, which more accurately identifies the defect type of the defect area and reduces the risk of misidentification of battery electrode sheet defects. In addition, in the solution of the embodiment of the present application, the laser scanner only needs to scan the defect area, without scanning the entire electrode sheet. This, on the one hand, reduces the amount of data obtained by the laser scanner, allowing the analysis device to quickly complete the identification of the defect type, thereby improving the efficiency of defect identification. On the other hand, the laser scanner can spend more time scanning the defect area, which can achieve higher scanning accuracy, thereby improving the accuracy of defect identification.

[0009] Furthermore, the conveying device is also used to: reduce the conveying speed of the battery electrode when the shooting device continuously captures multiple defect areas within a preset time period and the first defect area among the multiple defect areas reaches the area toward which the laser scanner is directed; the conveying device is also used to: restore the conveying speed of the battery electrode when the last defect area among the multiple defect areas leaves the area toward which the laser scanner is directed.

[0010] In the above implementation scheme, by reducing the transmission speed of the battery electrode when multiple defective areas are continuously photographed within a preset time period, more scanning time can be reserved for the laser scanner, thereby reducing the risk of missing defective areas.

[0011] Furthermore, the conveying device includes a conveyor belt; the battery electrode is conveyed along the first direction on the conveyor belt; the laser scanner is configured to: return to the initial position and sleep after scanning the defect area; the initial position is the position toward the center of the second direction of the conveyor belt; the second direction is perpendicular to the first direction.

[0012] In the above implementation, the laser scanner is configured to return to the center of the second direction of the conveyor belt and sleep after scanning the defect area. In this way, when the defect area arrives next time, no matter where the defect area is located in the second direction of the pole piece, the displacement length of the laser scanner will not exceed half the width of the conveyor belt, thereby reducing the displacement time of the laser scanner in the process of tracking the defect area and improving the detection efficiency.

[0013] Furthermore, the analysis device is specifically used to determine the defect type of the defect area based on the image information of the defect area captured by the shooting device and the height information of the defect area when the height information of the defect area does not meet the preset qualification standard.

[0014] In the above implementation scheme, the analysis device first determines whether the height information meets the preset qualification standards. When the height information of the defect area does not meet the preset qualification standards, the defect type of the defect area is determined based on the image information of the defect area captured by the shooting device and the height information of the defect area. In this way, unnecessary analysis of defects whose height information meets the preset qualification standards can be avoided, power consumption can be reduced, and defect recognition efficiency can be improved.

[0015] Furthermore, the shooting device is configured to perform continuous shooting at a preset time interval; wherein: any two frames of images shot continuously at the preset time interval are continuous and have no overlap, or any two frames of images shot continuously at the preset time interval are continuous and the overlapping area is smaller than a preset area threshold.

[0016] In the above implementation, by configuring any two frames of images captured continuously by the camera to be continuous, the camera will not miss any area of ​​the battery electrode, thus achieving complete inspection of the battery electrode and preventing the omission of defective areas. Furthermore, by configuring any two frames of images captured continuously by the camera to be continuous and non-overlapping, or with an overlapping area less than a preset area threshold, the problem of excessive overlap between two consecutive frames of images resulting in a reduction in the image area actually inspected each time, thereby affecting defect detection efficiency, can be avoided.

[0017] Furthermore, the conveying device includes a conveyor belt; the battery electrode is conveyed along a first direction on the conveyor belt; the shooting device includes a first shooting device and a second shooting device; the laser scanner includes a first laser scanner and a second laser scanner; the first shooting device is arranged toward the first side of the conveyor belt, and the second shooting device is arranged toward the second side of the conveyor belt; the first laser scanner is arranged toward the first side of the conveyor belt and is communicatively connected with the first shooting device for receiving the position information of the defective area transmitted by the first shooting device; the second laser scanner is arranged toward the second side of the conveyor belt and is communicatively connected with the second shooting device for receiving the position information of the defective area transmitted by the second shooting device.

[0018] In the above implementation scheme, by setting the first shooting device and the first laser scanner toward the first side of the conveyor belt, and setting the second shooting device and the second laser scanner toward the second side of the conveyor belt, defects can be detected on both sides of the pole piece at the same time, thereby improving the detection efficiency.

[0019] Furthermore, the image information of the defect area includes the grayscale value of the defect area; the analysis device is specifically used to: match the grayscale value of the defect area and the height information of the defect area with the preset grayscale value range and height range of each defect type, respectively, to obtain the defect type of the defect area.

[0020] In the above implementation scheme, the preset grayscale value range and height range of each defect type are pre-set for matching, and then the grayscale value of the defect area and the height information of the defect area are matched with the preset grayscale value range and height range of each defect type respectively, so that the defect type of the defect area can be determined quickly and accurately.

[0021] Furthermore, the defect detection system also includes a marking machine; the marking machine is communicatively connected to the analysis device and is arranged toward the conveying device; the marking machine is used to receive the defect type of the defect area, and when the conveying device transfers the defect area from the area where the laser scanner is facing to the area where the marking machine is facing, the marking machine is used to mark the defect area according to the defect type of the defect area.

[0022] In the above implementation, a marking machine is provided and configured to receive the defect type of a defective area and mark the defective area according to the defect type when a conveyor device transfers the defective area from the area facing the laser scanner to the area facing the marking machine. This allows subsequent processing to intuitively identify the location of the defective area in the battery electrode sheet, thereby removing the defective portion of the battery electrode sheet and reducing the risk of installing a defective battery electrode sheet in the battery.

[0023] An embodiment of the present application also provides a method for detecting defects in a battery electrode, comprising: photographing the battery electrode to obtain an image of the battery electrode; detecting a defective area in the image; sending position information of the defective area to a laser scanner so that the laser scanner scans the defective area to obtain height information of the defective area; and sending image information of the defective area to an analysis device so that the analysis device determines the defect type of the defective area based on the image information of the defective area and the height information of the defective area sent by the laser scanner.

[0024] The above-mentioned implementation scheme can realize defect detection of battery pole pieces. In addition, compared with defect detection using only the image of the battery pole piece, the scheme of the embodiment of the present application combines the image information of the defect area and the height information of the defect area, which is more accurate in identifying the defect type of the defect area and reduces the risk of misidentification of battery pole piece defects. In addition, in the scheme of the embodiment of the present application, the laser scanner only needs to scan the defect area and does not need to scan the entire pole piece. On the one hand, this reduces the amount of data obtained by the laser scanner, allowing the analysis device to quickly complete the identification of the defect type and improve the efficiency of defect identification. On the other hand, the laser scanner can spend more time scanning the defect area, which can make the scanning accuracy higher, thereby improving the accuracy of defect identification.

[0025] Furthermore, the method also includes: when multiple defect areas are continuously photographed within a preset time length, sending a control signal to the conveying device of the battery electrode sheet, so that the conveying device reduces the conveying speed of the battery electrode sheet after a preset first time length, and restores the conveying speed of the battery electrode sheet after a preset second time length; wherein the preset first time length is: the time length for the conveying device to deliver the first defect area among the multiple defect areas to the area toward which the laser scanner is directed; the preset second time length is: the preset first time length plus the time length for the conveying device to deliver the last defect area among the multiple defect areas out of the area toward which the laser scanner is directed.

[0026] An embodiment of the present application also provides a method for detecting defects in a battery electrode, the method comprising: receiving position information of a defective area of ​​the battery electrode from a photographing device; when a conveying device transmits the defective area to a target area, scanning the defective area to obtain height information of the defective area, and transmitting the height information of the defective area to an analysis device, so that the analysis device determines the defect type of the defective area based on the height information of the defective area and the image information of the defective area captured by the photographing device.

[0027] The above-mentioned implementation scheme can realize defect detection of battery pole pieces. In addition, compared with defect detection using only images of battery pole pieces, the scheme of the embodiment of the present application combines the image information of the defect area and the height information of the defect area, which is more accurate in identifying the defect type of the defect area and reduces the risk of misidentification of battery pole piece defects. In addition, the scheme of the embodiment of the present application only needs to scan the defect area, and there is no need to scan the entire pole piece. On the one hand, this reduces the amount of data obtained by scanning, allowing the analysis device to quickly complete the identification of the defect type and improve the efficiency of defect identification. On the other hand, more time can be spent on scanning the defect area, which can make the scanning accuracy higher, thereby improving the accuracy of defect identification.

[0028] An embodiment of the present application also provides a method for detecting defects in a battery electrode, the method comprising: receiving image information of a defective area of ​​the battery electrode from a photographing device; receiving height information of the defective area of ​​the battery electrode from a laser scanner; wherein the height information of the defective area is obtained by the laser scanner by scanning the defective area based on the position information of the defective area determined by the photographing device; and determining the defect type of the defective area based on the image information of the defective area and the height information of the defective area.

[0029] The above-mentioned implementation scheme can realize defect detection of battery pole pieces. In addition, compared with defect detection using only the image of the battery pole piece, the scheme of the embodiment of the present application combines the image information of the defect area and the height information of the defect area, which is more accurate in identifying the defect type of the defect area and reduces the risk of misidentification of battery pole piece defects. In addition, in the scheme of the embodiment of the present application, the laser scanner only needs to scan the defect area and does not need to scan the entire pole piece. On the one hand, this reduces the amount of data obtained by the laser scanner, allowing the analysis device to quickly complete the identification of the defect type and improve the efficiency of defect identification. On the other hand, the laser scanner can spend more time scanning the defect area, which can make the scanning accuracy higher, thereby improving the accuracy of defect identification.

[0030] An embodiment of the present application also provides a photographing device, comprising: a first communication unit; a camera for photographing images of battery pole pieces; a first memory storing programs; a first processor, respectively connected to the first communication unit, the camera, and the first memory for executing one or more of the programs stored in the first memory to control the camera and the first communication unit to perform photographing and data transmission, respectively, to implement the aforementioned first set of battery pole piece defect detection method.

[0031] An embodiment of the present application also provides a laser scanner, comprising: a laser probe, a second communication unit, a second processor and a second memory; the second processor is respectively communicated with the second communication unit, the laser probe and the second memory, and is used to execute one or more of the programs stored in the second memory to control the laser probe and the second communication unit to perform scanning and data transmission respectively, so as to implement the aforementioned second set of battery electrode defect detection methods.

[0032] An embodiment of the present application also provides an analysis device, comprising: a third communication unit, a third processor and a third memory; the third processor is communicatively connected to the third communication unit and the third memory, respectively, and is used to execute one or more programs stored in the third memory to implement the aforementioned third set of battery electrode defect detection methods.

[0033] BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope.

[0035] FIG1 is a schematic diagram of the basic structure of a defect detection system provided in an embodiment of the present application;

[0036] FIG2 is a schematic diagram of a defect area provided in an embodiment of the present application;

[0037] FIG3 is a schematic structural diagram of a more specific defect detection system provided in an embodiment of the present application;

[0038] FIG4 is a schematic structural diagram of a specific defect detection system provided in an embodiment of the present application;

[0039] FIG5 is a schematic diagram of an interactive flow of a battery electrode defect detection method provided in an embodiment of the present application.

[0040] The accompanying drawings in the specific implementation manner are as follows:

[0041] Conveying device 1; photographing device 2; laser scanner 3; battery electrode 4; defective area 5; marking machine 6; first photographing device 21; second photographing device 22; first laser scanner 31; second laser scanner 32. DETAILED DESCRIPTION

[0042] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0044] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0045] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0046] Lithium-ion batteries are secondary batteries that use lithium ions as the active cathode material. They offer high energy density, long cycle life, and are lightweight. Their internal structure consists of a positive electrode, a negative electrode, a separator, and an electrolyte. The positive electrode is typically made of an oxide (such as a ternary material) or a phosphate (such as a lithium iron phosphate), while the negative electrode is a carbon material. The electrolyte is often an organic liquid or polymer gel. Lithium-ion batteries are widely used in mobile devices, new energy vehicles, energy storage systems, and other fields.

[0047] The coating process of lithium-ion batteries involves evenly coating the prepared positive and negative electrode slurries on copper foil or aluminum foil through a coating machine to form positive and negative electrode sheets. If the sheet (i.e., battery sheet) has defects, such as agglomerates, pinholes, metal leakage, etc., it will affect the battery performance to varying degrees, including reducing coulombic efficiency, affecting rate performance, and reducing battery capacity. Severe defects in battery sheets may even lead to the risk of combustion or explosion. Therefore, in the production of lithium-ion batteries, real-time online detection and removal of defective sheets to improve battery quality and reduce defective product rates are of great significance to ensuring battery performance and safety.

[0048] Related technologies primarily rely on single CCD image processing to identify defects and their types. This method can only perceive the depth or height of a defective area based on color differences between different areas in the image. Its recognition accuracy depends on the maturity of the algorithm. Furthermore, it is difficult to accurately identify defects with less distinct colors, often leading to misidentification of battery electrode defects.

[0049] In order to more accurately detect defects in battery electrodes, a defect detection system is provided in an embodiment of the present application. See Figure 1, which is a schematic diagram of the basic structure of the defect detection system provided in an embodiment of the present application, including: a conveying device 1, a photographing device 2, a laser scanner 3, and an analysis device (not shown in the figure). Among them:

[0050] The conveying device 1 is used to convey the battery electrode 4 to be inspected.

[0051] In the embodiment of the present application, as shown in FIG1 , the conveying device 1 may include a motor (not shown) and a roller. The motor may drive the roller to rotate, thereby moving the battery electrode sheet 4 along a first direction (i.e., the positive direction of the y-axis in the figure). In addition, the conveying device 1 may further include a conveyor belt (not shown) to move the battery electrode sheet 4 along the conveyor belt along the first direction.

[0052] The photographing device 2 is disposed toward the conveying device 1 and is used to photograph the image of the battery electrode 4 conveyed by the conveying device 1 to determine whether there is a defective area 5 in the battery electrode 4 .

[0053] In the embodiment of the present application, the shooting device 2 is arranged toward the conveying device 1, which means that the shooting part of the shooting device 2, such as the camera, is arranged toward the conveying device 1, so that the shooting device 2 can shoot the battery electrode 4 conveyed on the conveying device 1.

[0054] In the embodiment of the present application, the photographing device 2 can be implemented by, but is not limited to, a CCD camera.

[0055] In the embodiment of the present application, after capturing the image of the battery electrode 4 , the photographing device 2 may perform defect detection on the image of the battery electrode 4 and preliminarily determine the defective area 5 in the image.

[0056] Optionally, the camera 2 may determine, based on the color deviations of different regions in the image, regions with larger deviations as defect regions 5. For example, a standard pixel value may be pre-set, and then a set of pixel values ​​whose absolute difference between the pixel value and the standard pixel value is greater than a preset deviation threshold may be determined as defect regions 5.

[0057] Optionally, the photographing device 2 may also use a pre-trained image recognition model to recognize the image of the battery electrode 4 to obtain the defective area 5 in the image.

[0058] In an embodiment of the present application, the photographing device 2 may also send the photographed image to an analysis device or other device with image recognition capability for defect detection. The detection method is as described above and will not be repeated here.

[0059] In an embodiment of the present application, the camera 2 can be configured to continuously capture images at preset time intervals. Specifically, any two frames captured continuously at the preset time interval are continuous and non-overlapping, or any two frames captured continuously at the preset time interval are continuous and the overlapping area is less than a preset area threshold. Thus, because any two frames captured continuously are continuous, the battery electrode 4 can be fully captured as an image, reducing the risk of missing defective areas 5. Furthermore, if any two frames captured continuously do not overlap, or if the overlapping area is less than a preset area threshold, this can avoid the problem of excessive overlap between two consecutive frames, which results in a reduction in the image area of ​​each actual inspection, thereby affecting defect detection efficiency.

[0060] In an embodiment of the present application, when there is an overlapping area between any two frames of images taken continuously, the subsequently taken images can be deduplicated using an image recognition algorithm or the like.

[0061] The laser scanner 3 is set toward the conveying device 1, and is used to receive the position information of the defect area 5. When the conveying device 1 conveys the defect area 5 to the area toward which the laser scanner 3 is directed, the laser scanner 3 scans the defect area 5 to obtain the height information of the defect area 5.

[0062] In the embodiment of the present application, the laser scanner 3 can be a point laser scanner or a line laser scanner.

[0063] In the embodiment of the present application, the laser scanner 3 is arranged toward the conveying device 1, which means that the scanning part of the laser scanner 3, such as the laser probe, is arranged toward the conveying device 1, so that the laser scanner 3 can scan the battery electrode 4 conveyed on the conveying device 1.

[0064] In the embodiment of the present application, the height information obtained by the laser scanner 3 refers to the height difference between the point scanned by the laser scanner 3 and the reference plane. For example, the laser scanner 3 can scan the distance L1 between the scanned point and the laser scanner 3, and the distance L2 between the reference plane of the battery electrode 4 and the laser scanner 3 can be pre-set in the laser scanner 3. The difference between the two distances is the height information of the scanned point. Among them, L2-L1 is positive, indicating that the scanned point is higher than the reference plane of the battery electrode 4, and L2-L1 is negative, indicating that the scanned point is lower than the reference plane of the battery electrode 4. In the embodiment of the present application, the scanned point refers to the scanned point in the battery electrode 4.

[0065] In the embodiment of the present application, the height information obtained by the laser scanner 3 may also refer to the distance between the point scanned by the laser scanner 3 and the laser scanner 3. After the laser scanner 3 sends the height information to the analysis device, the analysis device calculates the height difference of the point scanned by the laser scanner 3 relative to the reference plane based on the height information of each point in the defect area 5 and the preset distance L2 between the reference plane of the battery electrode 4 and the laser scanner 3.

[0066] In the embodiment of the present application, the laser scanner 3 can obtain the position information of the detected defect area 5 from the photographing device 2 or from other devices that detect the defect area 5 on the image.

[0067] In the embodiment of the present application, the position information of the defective area 5 may include only the position of the identified defective area 5 , or may be the position of a regular area including the defective area 5 .

[0068] For example, since a curve can be expressed by a function, the position information of the defect area 5 can be expressed by converting the contour curve of the defect area 5 into a functional expression. For example, a functional expression of the contour curve of the defect area 5 can be constructed with the point in the defect area 5 closest to the laser scanner 3 as the origin, and the functional expression and the coordinates of the origin relative to the laser scanner 3 are notified to the laser scanner 3.

[0069] As another example, the position information of the smallest rectangle containing the defective area 5 can be used as the position information of the defective area 5 to inform the laser scanner 3. For example, as shown in FIG2 , x max , x min ,y max ,y min Transmitted to laser scanner 3, (x max ,y max ), (x max ,y min ), (x min ,y max ), (x min ,y min ) The four points constitute the minimum rectangle containing the defective area 5. max is the maximum value of the defect area 5 in the second direction (a direction perpendicular to the first direction, represented as the positive direction of the x-axis in FIG1 ), min is the minimum value of the defect area 5 in the second direction, y max is the maximum value of the defect area 5 in the first direction, y min is the minimum value of the defect area 5 in the first direction.

[0070] In the embodiment of the present application, when the laser scanner 3 is a line laser scanner, since the line laser scanner can scan all points on a line segment at the same time, when the width of the defect area 5 in the second direction does not exceed the length of the line segment that can be scanned by the line laser scanner, the position information of the defect area 5 sent to the laser scanner 3 may also include only one point coordinate and the length of the defect area 5 in the first direction. For example, the point coordinates (x′, y′) and y′ may be sent. min ,in y′=y max After receiving the position information, the line laser scanner adjusts its own position to the position where the center is aligned with the point (x′, y′), and after the coordinate point (x′, y′) reaches the area facing the line laser scanner, the line laser scanner starts scanning.

[0071] In the above example, considering that it takes time for the line laser scanner to adjust its position to the position where the center is aligned with the point (x′, y′), the time when the line laser scanner starts scanning can be set. Wherein, l is the distance from the coordinate point (x′, y′) to the line laser scanner in the first direction, v1 and v2 represent the speed of the conveying device 1 conveying the battery electrode 4 and the displacement speed of the line laser scanner, respectively. Indicates taking and The larger value in .

[0072] In the above example, considering that Greater than That is, the online laser scanner starts scanning after adjusting its position to the position where the center is aligned with the point (x′, y′). At this time, some defect areas 5 may have been transmitted out of the scanning area of ​​the online laser scanner, which means there may be a risk of missed detection. Therefore, Greater than In this case, the conveying device 1 is notified to reduce the conveying speed so that the line laser scanner can adjust its position to the position where the center is aligned with the point (x′, y′) before the point (x′, y′) arrives.

[0073] In the embodiment of the present application, the scanning duration of the laser scanner 3 is Where Δy represents the length of the defect area 5 in the first direction, Δy=y max -y min .

[0074] In an embodiment of the present application, as shown in FIG1 , the battery electrode 4 can be conveyed on a conveyor belt along a first direction. The laser scanner 3 can be configured to return to an initial position and sleep after scanning the defective area 5. The initial position is the position facing the center of the conveyor belt in the second direction (i.e., the center position of the x-axis in FIG1 ). This ensures that the next time the defective area 5 arrives, no matter where the defective area 5 is located in the second direction of the electrode, the displacement length of the laser scanner 3 will not exceed half the width of the conveyor belt, thereby reducing the displacement time of the laser scanner 3 in the process of tracking the defective area 5 and improving detection efficiency.

[0075] The analyzing device is used to determine the defect type of the defect area 5 based on the image information of the defect area 5 and the height information of the defect area 5.

[0076] In the embodiment of the present application, the analysis device may be a device with data processing capabilities, which may be integrated into the photographing device 2, the laser scanner 3, or even the transmission device 1, or may be implemented as an independent device.

[0077] In an embodiment of the present application, after receiving the height information of the defect area 5 scanned by the laser scanner 3, the analysis device can first determine whether the height information of the defect area 5 meets the preset qualification standard. In the case that the height information of the defect area 5 does not meet the preset qualification standard, the analysis device determines the defect type of the defect area 5 based on the image information of the defect area 5 captured by the shooting device 2 and the height information of the defect area 5. In the case that the height information of the defect area 5 meets the preset qualification standard, it can be considered that there is no defect in the defect area 5. At this time, the analysis device can no longer perform the operation of determining the defect type of the defect area 5 based on the image information of the defect area 5 captured by the shooting device 2 and the height information of the defect area 5. In this way, unnecessary analysis of defects whose height information meets the preset qualification standard can be avoided, power consumption can be reduced, and defect recognition efficiency can be improved.

[0078] In an embodiment of the present application, optionally, a method for determining whether the height information of the defective area 5 meets the preset qualification standard may include: calculating the absolute value of the height information of each point in the defective area 5, calculating the average of each absolute value, and determining whether the average value meets the preset qualification standard. Alternatively, calculating the absolute value of the height information of each point in the defective area 5, and determining whether the maximum value of each absolute value meets the preset qualification standard. Alternatively, when the height information of the defective area 5 is the distance between the point scanned by the laser scanner 3 and the laser scanner 3, the analysis device may first calculate the height difference of each point scanned by the laser scanner 3 relative to the reference plane, use the height difference as the latest height information of the defective area 5, and then determine whether the height information of the defective area 5 meets the preset qualification standard in the aforementioned manner.

[0079] In an embodiment of the present application, the preset qualification standard can be set based on the acceptable deviations between each point specified in the product standard of the battery electrode 4 and the reference plane of the battery electrode 4. For example, the preset qualification standard can be set to a threshold value that is less than or equal to the acceptable deviations between each point specified in the product standard and the reference plane of the battery electrode 4. When the average of the absolute values ​​of the height information of the defective region 5 is less than or equal to the threshold value, the height information of the defective region 5 is considered to meet the preset qualification standard. Alternatively, when the maximum value of the absolute values ​​of the height information of the defective region 5 is less than or equal to the threshold value, the height information of the defective region 5 is considered to meet the preset qualification standard. Alternatively, when the maximum value of the height information of the defective region 5 is less than or equal to a first preset threshold value, and the minimum value of the height information of the defective region 5 is greater than or equal to a second preset threshold value, the height information of the defective region 5 is considered to meet the preset qualification standard. The first preset threshold value and the second preset threshold value can be set based on the acceptable deviations between each point specified in the product standard of the battery electrode 4 and the reference plane of the battery electrode 4.

[0080] In an embodiment of the present application, the image information of the defective area 5 may include the grayscale value of each pixel point of the defective area 5. The preset grayscale value range and height range of each defect type may be pre-set in the analysis device. The analysis device may be specifically used to match the grayscale value of the defective area 5 and the height information of the defective area 5 with the preset grayscale value range and height range of each defect type, respectively, to obtain the defect type of the defective area 5. In this way, by pre-setting the preset grayscale value range and height range of each defect type for matching, and then matching the grayscale value of the defective area 5 and the height information of the defective area 5 with the preset grayscale value range and height range of each defect type, respectively, the defect type of the defective area 5 can be quickly and accurately determined.

[0081] In the above embodiment, the analyzing device may obtain image information of the defective area 5 from the photographing device 2 , and obtain height information of the defective area 5 from the laser scanner 3 .

[0082] In the above embodiment, after obtaining the image information of the defect area 5 and the height information of the defect area 5, the analysis device can match the grayscale value of the defect area 5 and the height information of the defect area 5 with the preset grayscale value range and height range of each defect type, respectively, and then determine the defect type corresponding to the matched preset grayscale value range and height range as the defect type of the defect area 5.

[0083] In the above embodiment, when the height information of the defect area 5 is the distance between the point scanned by the laser scanner 3 and the laser scanner 3, the analysis device can first calculate the height difference between the point scanned by each laser scanner 3 and the reference plane, and use the height difference as the latest height information of the defect area 5.

[0084] In the above embodiment, the method of matching the grayscale value of the defect area 5 and the height information of the defect area 5 with the preset grayscale value range and height range of each defect type can be: calculating the grayscale average of the grayscale value of each pixel point in the defect area 5 and the height average of the absolute value of the height information of each point in the defect area 5, and then matching the grayscale average and the height average with the preset grayscale value range and height range of each defect type respectively.

[0085] For example, the preset grayscale value range of defect type 1 is grayscale value a1 to grayscale value a2, and the height range is h1 to h2. The preset grayscale value range of defect type 2 is grayscale value b1 to grayscale value b2, and the height range is h3 to h4. If the grayscale average value is both within the range of grayscale value a1 to grayscale value a2 and grayscale value b1 to grayscale value b2, and the height average value is within the range of h3 to h4, then it can be determined that the type of defect area 5 is defect type 2.

[0086] In the above embodiment, the method of matching the grayscale value of the defect area 5 and the height information of the defect area 5 with the preset grayscale value range and height range of each defect type can also be: calculating the grayscale average of the grayscale value of each pixel point in the defect area 5, calculating the first height average of the positive value in the height information of each point in the defect area 5, calculating the second height average of the negative value in the height information of each point in the defect area 5, and then matching the grayscale average with the preset grayscale value range of each defect type, matching the first height average with the preset positive height range of each defect type, and matching the second height average with the preset negative height range of each defect type.

[0087] For example, the preset grayscale value range of defect type 1 is grayscale value a1 to grayscale value a2, the positive height range is H1 to H2, and the negative height range is h1 to h2. The preset grayscale value range of defect type 2 is grayscale value b1 to grayscale value b2, the positive height range is H3 to H4, and the negative height range is h3 to h4. If the grayscale average value is both within the range of grayscale value a1 to grayscale value a2 and grayscale value b1 to grayscale value b2, and the first height average value is within H1 to H2, and the second height average value is within h1 to h2, then it can be determined that the type of defect area 5 is defect type 1.

[0088] In an embodiment of the present application, the image information of the defective area 5 may also be image information of a color image. In this case, the image information of the defective area 5 may include the pixel value of each pixel point within the defective area 5. Similar to the above, a preset pixel value range and height range may be preset for each defect type. After obtaining the image information of the defective area 5 and the height information of the defective area 5, the analysis device may match the pixel value of the defective area 5 and the height information of the defective area 5 with the preset pixel value range and height range for each defect type, respectively, and then determine the defect type corresponding to the matched preset pixel value range and height range as the defect type of the defective area 5. The specific method for matching the pixel value of the defective area 5 and the height information of the defective area 5 with the preset pixel value range and height range for each defect type is consistent with the method for matching the grayscale value of the defective area 5 and the height information of the defective area 5 with the preset grayscale value range and height range for each defect type, respectively, as described above. The grayscale value may be replaced with the pixel value, and further description thereof will be omitted.

[0089] In the embodiment of the present application, the scanning effect of the laser scanner 3 is not only related to the scanning speed of the laser scanner 3 itself, but also to the conveying speed of the battery electrode sheet 4 by the conveyor 1. Considering the possibility of continuous occurrence of defective areas 5 in actual applications, since different defective areas 5 may be distributed at different locations on the battery electrode sheet 4, this may cause significant displacement pressure on the laser scanner 3, potentially leading to the risk of missed detection. To reduce the risk of missed detection, in the embodiment of the present application, the conveyor 1 can be configured to: reduce the conveying speed of the battery electrode sheet 4 if the camera 2 continuously captures multiple defective areas 5 within a preset time period, and the first of the multiple defective areas 5 reaches the area directed by the laser scanner 3; and resume the conveying speed of the battery electrode sheet 4 if the last of the multiple defective areas 5 leaves the area directed by the laser scanner 3. In this way, when faced with continuous occurrence of defective areas 5, by reducing the conveying speed of the battery electrode sheet 4, more scanning time is left for the laser scanner 3, thereby reducing the risk of missed detection of defective areas 5.

[0090] In the embodiment of the present application, the preset duration can be set by the engineer according to actual needs, but it is not a limitation. In the embodiment of the present application, after the shooting device 2 continuously shoots multiple defective areas 5 within the preset duration, it can actively notify the conveying device 1 of the situation. The information in the notification can include the distance L1 of the first defective area 5 from the area facing the laser scanner 3, and the distance L2 of the last point of the last defective area 5 in the first direction from the area facing the laser scanner 3. In this way, based on L1, L2, the conveying speed of the conveying device 1 to the battery electrode 4, and the adjusted conveying speed, the conveying device 1 can calculate the time when the first defective area 5 arrives at the area facing the laser scanner 3, and the time when the last defective area 5 among the multiple defective areas 5 leaves the area facing the laser scanner 3, thereby realizing the regulation of the conveying speed.

[0091] In the embodiment of the present application, the conveying device 1 can adjust the conveying speed based on the number of defective areas 5 continuously photographed by the camera 2 within a preset time period. For example, assuming that the number of defective areas 5 continuously photographed by the camera 2 within a preset time period is n, the conveying speed can be adjusted to 1 / n of the original speed.

[0092] In an embodiment of the present application, as shown in FIG3 , the defect detection system may further include a marking machine 6. The marking machine 6 is in communication with the analysis device and is disposed toward the conveying device 1. The marking machine 6 is used to receive the defect type of the defective area 5 and, when the conveying device 1 transfers the defective area 5 from the area toward which the laser scanner 3 is directed to the area toward which the marking machine 6 is directed, mark the defective area 5 according to the defect type of the defective area 5. This allows the subsequent processing flow to intuitively discover the location of the defective area 5 in the battery electrode 4, thereby removing the defective portion of the battery electrode 4 and reducing the risk of inserting the defective battery electrode 4 into the battery.

[0093] In the embodiment of the present application, the marking machine 6 is arranged toward the conveying device 1, which means that the marking printing mechanism of the marking machine 6 is arranged toward the conveying device 1, so that the marking machine 6 can mark the battery electrode 4 conveyed on the conveying device 1.

[0094] In the embodiment of the present application, as shown in FIG4 , the photographing device 2 may include a first photographing device 21 and a second photographing device 22. The laser scanner 3 may include a first laser scanner 31 and a second laser scanner 32.

[0095] The first camera 21 is positioned toward the first side of the conveyor belt of the conveyor device 1, and the second camera 22 is positioned toward the second side of the conveyor belt. The first side and the second side are the two opposing sides of the conveyor belt when conveying the battery electrode sheet 4. It is understood that the conveyor belt may bend while conveying the battery electrode sheet 4, as shown in Figure 4. However, the surface of the battery electrode sheet 4 remains unchanged after the bend.

[0096] The first laser scanner 31 is disposed toward the first side of the conveyor belt and is in communication with the first camera 21, and is configured to receive the position information of the defective area 5 transmitted by the first camera 21. The second laser scanner 32 is disposed toward the second side of the conveyor belt and is in communication with the second camera 22, and is configured to receive the position information of the defective area 5 transmitted by the second camera 22.

[0097] It can be understood that the first photographing device 21 , the second photographing device 22 , the first laser scanner 31 and the second laser scanner 32 are all connected to the analysis device for communication.

[0098] In this way, by setting up the first shooting device 21, the second shooting device 22, the first laser scanner 31 and the second laser scanner 32, it is possible to simultaneously shoot the two sides of the battery electrode 4, and then simultaneously perform defect detection on the two sides of the electrode, thereby improving the detection efficiency.

[0099] In the above embodiment, the conveyor belt can be made of a transparent material, or can be set up with a hollow structure, or can be set up in the form of a conveyor rail, so that the first shooting device 21 and the second shooting device 22 can simultaneously shoot the two sides of the battery electrode 4, so that the first laser scanner 31 and the second laser scanner 32 can scan the two sides of the battery electrode 4.

[0100] Based on the above defect detection system, the embodiment of the present application further provides a battery electrode defect detection method, as shown in FIG5 , comprising:

[0101] S501: The photographing device photographs the battery electrode to obtain an image of the battery electrode.

[0102] In the embodiment of the present application, before the photographing device photographs the battery pole piece, the battery pole piece to be inspected can be placed on the conveying device and the conveying device can be started.

[0103] In the embodiment of the present application, the image of the battery electrode taken by the photographing device may be a grayscale image or a color image.

[0104] In an embodiment of the present application, the photographing device can continuously photograph the battery electrode at a preset time interval. Any two frames of images taken at the preset time interval are continuous and non-overlapping, or any two frames of images taken at the preset time interval are continuous and the overlapping area is less than a preset area threshold.

[0105] In an embodiment of the present application, when any two frames of images taken continuously at a preset time interval are continuous and overlapped, an image recognition algorithm can be used to identify the area in the later-taken image that overlaps with the earlier-taken image, and perform deduplication processing.

[0106] In some optional implementations of the embodiments of the present application, when the photographing device continuously photographs multiple defective areas within a preset time period, a control signal may be sent to a conveying device of the battery electrode sheet, so that the conveying device reduces the conveying speed of the battery electrode sheet after a preset first time period, and restores the conveying speed of the battery electrode sheet after a preset second time period;

[0107] Among them, the preset first time length is: the time length for the conveying device to deliver the first defect area among multiple defect areas to the area where the laser scanner is facing; the preset second time length is: the preset first time length plus the time length for the conveying device to deliver the last defect area among multiple defect areas out of the area where the laser scanner is facing.

[0108] S502: Detect defective areas in the image.

[0109] The above step S502 can be executed by a photographing device, or by other devices with data processing capabilities. FIG5 illustrates a solution executed by a photographing device.

[0110] S503: Sending the position information of the defective area to the laser scanner.

[0111] The above step S503 may be performed by a device that detects defective areas, for example, by a photographing device.

[0112] S504: Send image information of the defective area to the analysis device.

[0113] The above step S504 may be performed by a device that detects defective areas, for example, by a photographing device.

[0114] It can be understood that there is no timing restriction between step S504 and step S503 and between step S505 and S506.

[0115] S505: After receiving the position information of the defective area of ​​the battery electrode and the conveying device transferring the defective area to the target area, the laser scanner scans the defective area to obtain height information of the defective area.

[0116] In an embodiment of the present application, the location information of the defect area may include the distance between the defect area and the area facing the laser scanner. Based on the distance and the transmission speed of the transmission device, the laser scanner can calculate its own start-up time and start scanning when the start-up time arrives.

[0117] In an optional implementation of the embodiment of the present application, the laser scanner can be controlled to return to an initial position and sleep after each scan of the defect area is completed. The initial position is a position toward the center of the second direction of the conveyor belt.

[0118] S506: The laser scanner transmits the height information of the defect area to the analysis device.

[0119] S507 : Upon receiving the image information of the defective area and the height information of the defective area, the analyzing device determines the defect type of the defective area according to the image information of the defective area and the height information of the defective area.

[0120] Optionally, the analysis device may first determine whether the height information of the defective area meets a preset qualification standard. If the height information of the defective area does not meet the preset qualification standard, the analysis device determines the defect type of the defective area based on the image information of the defective area and the height information of the defective area. If the height information of the defective area meets the preset qualification standard, it can be considered that the deviation in height (or depth) of the defective area is acceptable, and it can be considered that the defective area does not have a defect, and thus the operation of determining the defect type of the defective area based on the image information of the defective area and the height information of the defective area is no longer performed.

[0121] Optionally, the image information of the defect area may include a grayscale value of the defect area. One feasible implementation method for determining the defect type of the defect area based on the image information and height information of the defect area is to match the grayscale value of the defect area and the height information of the defect area with a preset grayscale value range and height range for each defect type, respectively, to obtain the defect type of the defect area.

[0122] In an embodiment of the present application, after determining the defect type of the defect area, the analysis device can send the location information and defect type of the defect area to the marking machine, so that after the defect area reaches the area toward which the marking machine is heading, the marking machine can mark the defect area according to the defect type of the defect area.

[0123] For the sake of brevity, some of the contents described in the embodiments of the defect detection system are also applicable to the defect detection method section and will not be repeated here.

[0124] Based on the defect detection system and defect detection method provided in the embodiment of the present application, defect detection of battery pole pieces can be achieved. In addition, compared with defect detection using only the image of the battery pole piece, the solution of the embodiment of the present application combines the image information of the defect area and the height information of the defect area, which is more accurate in identifying the defect type of the defect area and reduces the risk of misidentification of battery pole piece defects. In addition, in the solution of the embodiment of the present application, the laser scanner only needs to scan the defect area and does not need to scan the entire pole piece. On the one hand, this reduces the amount of data obtained by the laser scanner, allowing the analysis device to quickly complete the identification of the defect type and improve the efficiency of defect identification. On the other hand, the laser scanner can spend more time scanning the defect area, which can make the scanning accuracy higher, thereby improving the accuracy of defect identification.

[0125] Based on the same inventive concept, an embodiment of the present application further provides a photographing device comprising: a first communication unit; a camera for capturing images of a battery electrode; a first memory storing a program; and a first processor, communicatively coupled to the first communication unit, the camera, and the first memory, for executing one or more of the programs stored in the first memory to control the camera and the first communication unit to perform photographing and data transmission, respectively, thereby implementing the steps of the aforementioned battery electrode defect detection method that can be performed by the photographing device. In this embodiment, the photographing device may be, but is not limited to, a CCD camera. In this embodiment, the photographing device may also include additional components, which are not limited by this application.

[0126] Based on the same inventive concept, an embodiment of the present application further provides a laser scanner comprising: a laser probe, a second communication unit, a second processor, and a second memory; the second processor is respectively connected to the second communication unit, the laser probe, and the second memory, and is configured to execute one or more programs stored in the second memory to control the laser probe and the second communication unit to perform scanning and data transmission, respectively, thereby implementing the steps in the aforementioned battery electrode defect detection method that can be performed by the laser scanner. In this embodiment, the laser scanner can be a line laser scanner or a point laser scanner. In this embodiment, the laser scanner can also have additional components, such as a control rod for controlling the displacement of the laser probe.

[0127] Based on the same inventive concept, an embodiment of the present application further provides an analysis device comprising: a third communication unit, a third processor, and a third memory; the third processor is communicatively coupled to the third communication unit and the third memory, respectively, and is configured to execute one or more programs stored in the third memory to implement the steps of the aforementioned battery electrode defect detection method that can be performed by the analysis device. In this embodiment, the analysis device can be, but is not limited to, a server, an intelligent computing platform, a computer host, or other device with data analysis and processing capabilities. In this embodiment, the analysis device can also include additional components, which are not limited by this embodiment of the present application.

[0128] In the embodiment of the present application, the first communication unit, the second communication unit and the third communication unit can be implemented using wireless or wired communication modules, for example, they can be implemented using Bluetooth, WiFi, USB (Universal Serial Bus) and other communication modules, but this is not a limitation.

[0129] In the embodiment of the present application, the first processor, the second processor, and the third processor may be processor cores or processor chips, or other circuits that can be configured and run by programs, but this is not a limitation.

[0130] In the embodiment of the present application, the first memory, the second memory and the third memory can be RAM (Random Access Memory), ROM (Read-Only Memory), flash memory, etc., but are not limited to this.

[0131] Based on the same inventive concept, embodiments of the present application further provide a computer-readable storage medium, such as a floppy disk, an optical disk, a hard disk, a flash memory, a USB flash drive, an SD (Secure Digital Memory Card), an MMC (Multimedia Card), etc., in which one or more programs for implementing the aforementioned steps are stored. These one or more programs can be executed by multiple processors to implement the operations performed by the aforementioned camera, laser scanner, or analysis device. These will not be further described herein.

[0132] To facilitate understanding of the solution of the embodiment of the present application, the following is an example of the solution of the embodiment of the present application, taking the shooting device as a CCD camera, the laser scanner as a line laser scanner, and the structure of the defect detection system as shown in FIG4 as an example:

[0133] As shown in Figure 4, a first CCD camera and a second CCD camera are mounted on the upper and lower sides of the transport area of ​​the battery electrode 4, respectively, to calibrate the defect areas 5 and their locations on the upper and lower surfaces of the battery electrode 4. A motor in the conveyor 1 drives a roller to move the battery electrode 4 in the positive y-axis direction. The image capture frequency of the first and second CCD cameras is set according to the transport speed of the conveyor 1, ensuring that the two frames of images are continuous and have no overlap.

[0134] When the first CCD camera recognizes the defective area 5, the first line laser scanner is activated from sleep.

[0135] The first CCD camera determines whether multiple defective areas 5 appear within the visible range of a single-sided battery electrode 4. If so, it instructs the conveyor 1 to reduce its conveying speed when the first of these areas 5 reaches the scanning area of ​​the first line laser scanner. The first CCD camera transmits the positional information of the defective area 5 to the control lever of the first line laser scanner, which executes a displacement command, causing the first line laser scanner to scan the defective area 5. (The operating logic of the second CCD camera and the second line laser scanner is identical to that of the first CCD camera and the first line laser scanner and is not further described here.)

[0136] The position information of the defect area 5 can be expressed as: (x′, y′), where y′=y max .x max , x min ,y max They represent the maximum value, minimum value and maximum value of the x-coordinate of the defect contour, respectively. The initial position of the line laser scanner is located at the center of the second direction. The time for performing the scan is l is the horizontal distance from the origin (x′, y′) to the line laser scanner, v1 and v2 represent the pole piece walking speed and the displacement speed of the line laser scanner on the control rod respectively; the scanning duration Where Δy represents the length of the defect area 5 in the y-axis direction, Δy=y max -y min ,y min Indicates the minimum y-coordinate value of the defect outline. After the scan is completed, the line laser scanner returns to its initial position and goes into sleep mode. If a shutdown is performed, it needs to resume operation.

[0137] The point cloud scanned by the line laser scanner (i.e., the height information of the defect area 5) is quickly analyzed to obtain the distance between the extreme points (highest point and lowest point) and the reference plane, and to determine whether the parameter information in the z-axis direction (height, depth) meets the standard. If it meets the standard, it is released. If not, the defect type is identified by combining the image information of the defect area 5 and the height information of the defect area 5 scanned by the line laser scanner, and the marking machine 6 is commanded to perform the marking operation in the corresponding defect area 5.

[0138] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0139] In addition, the units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0140] Furthermore, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0141] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A defect detection system, characterized in that: include: A conveying device, used for conveying the battery electrode to be inspected; a photographing device, disposed toward the conveying device, for photographing an image of the battery electrode sheet conveyed by the conveying device to determine whether there is a defective area in the battery electrode sheet; a laser scanner, disposed toward the conveying device, configured to receive position information of the defective area and, when the conveying device conveys the defective area to the area toward which the laser scanner is directed, scan the defective area to obtain height information of the defective area; The analyzing device is used to determine the defect type of the defect area according to the image information of the defect area and the height information of the defect area.

2. The defect detection system according to claim 1, wherein: The conveying device is further configured to reduce the conveying speed of the battery electrode sheet when the photographing device continuously photographs multiple defective areas within a preset time period and the first defective area among the multiple defective areas reaches the area toward which the laser scanner is directed; The conveying device is further used to restore the conveying speed of the battery electrode when the last defective area among the multiple defective areas leaves the area toward which the laser scanner is directed.

3. The defect detection system according to claim 1, wherein: The conveying device includes a conveyor belt; the battery electrode is conveyed along the first direction on the conveyor belt; The laser scanner is configured to: return to an initial position and sleep after scanning the defect area; The initial position is a position toward the center of the second direction of the conveyor belt; the second direction is perpendicular to the first direction.

4. The defect detection system according to any one of claims 1 to 3, characterized in that: The analyzing device is specifically configured to determine the defect type of the defect area based on the image information of the defect area captured by the photographing device and the height information of the defect area when the height information of the defect area does not meet a preset qualification standard.

5. The defect detection system according to any one of claims 1 to 3, characterized in that: The photographing device is configured to take photos continuously at preset time intervals; Wherein: any two frames of images continuously shot at the preset time interval are continuous and have no overlap, or any two frames of images continuously shot at the preset time interval are continuous and the overlapping area is smaller than a preset area threshold.

6. The defect detection system according to any one of claims 1 to 3, characterized in that: The conveying device includes a conveyor belt; the battery electrode is conveyed along the first direction on the conveyor belt; The shooting device includes a first shooting device and a second shooting device; the laser scanner includes a first laser scanner and a second laser scanner; The first camera is disposed toward the first side of the conveyor belt, and the second camera is disposed toward the second side of the conveyor belt; The first laser scanner is disposed toward the first surface of the conveyor belt and is in communication with the first photographing device, and is configured to receive position information of the defective area transmitted by the first photographing device; The second laser scanner is arranged toward the second surface of the conveyor belt and is in communication with the second photographing device, so as to receive the position information of the defective area transmitted by the second photographing device.

7. The defect detection system according to any one of claims 1 to 3, characterized in that: The image information of the defective area includes a grayscale value of the defective area; The analyzing device is specifically used to match the grayscale value of the defect area and the height information of the defect area with the preset grayscale value range and height range of each defect type, respectively, to obtain the defect type of the defect area.

8. The defect detection system according to any one of claims 1 to 3, characterized in that: The defect detection system also includes a marking machine; The marking machine is in communication with the analyzing device and is disposed toward the conveying device; The marking machine is used to receive the defect type of the defect area and mark the defect area according to the defect type of the defect area when the conveying device transfers the defect area from the area where the laser scanner is facing to the area where the marking machine is facing.

9. A method for detecting defects in battery pole pieces, characterized in that: include: photographing the battery electrode to obtain an image of the battery electrode; detecting a defective area in the image; Sending the position information of the defect area to a laser scanner so that the laser scanner scans the defect area to obtain height information of the defect area; The image information of the defect area is sent to an analyzing device, so that the analyzing device determines the defect type of the defect area based on the image information of the defect area and the height information of the defect area sent by the laser scanner.

10. The battery electrode defect detection method according to claim 9, characterized in that: The method further comprises: When multiple defective areas are continuously photographed within a preset time period, a control signal is sent to a conveying device of the battery electrode sheet, so that the conveying device reduces the conveying speed of the battery electrode sheet after a preset first time period, and restores the conveying speed of the battery electrode sheet after a preset second time period; Among them, the preset first time length is: the time length for the conveying device to deliver the first defect area among the multiple defect areas to the area where the laser scanner is facing; the preset second time length is: the preset first time length plus the time length for the conveying device to deliver the last defect area among the multiple defect areas out of the area where the laser scanner is facing.

11. A method for detecting defects in battery pole pieces, characterized in that: The method comprises: receiving location information of the defective area of ​​the battery electrode from a photographing device; When the conveying device transfers the defective area to the target area, the defective area is scanned to obtain height information of the defective area, and the height information of the defective area is transmitted to the analysis device, so that the analysis device determines the defect type of the defective area based on the height information of the defective area and the image information of the defective area captured by the shooting device.

Images