Pole piece edge positioning detection system based on optical imaging

Abstract

The utility model provides a pole piece edge positioning detection system based on optical imaging, which comprises an image acquisition device, a first industrial light source and a second industrial light source, the first industrial light source is arranged on the back side of a pole piece transportation device, the second industrial light source and the image acquisition device are arranged on the front side of the pole piece transportation device, and the image acquisition device is arranged on the back side of the pole piece transportation device. The image acquisition device is used for acquiring a pole piece image, the first industrial light source is used for providing light intensity penetrating through a conveying belt in the pole piece conveying device, and the second industrial light source is used for ensuring the surface brightness of the pole piece. The device can effectively distinguish the pole piece from the belt after dust accumulation, and is higher in positioning efficiency and precision, simple in implementation scheme, easy to use and higher in feasibility. The scheme is not only suitable for positioning the pole piece for defect detection of the cutting and stacking all-in-one machine, but also suitable for positioning related products which can fall dust and are relatively low in thickness.

Description

Technical Field

[0001] The utility model relates to the technical field of pole piece detection, in particular to a pole piece edge positioning detection system based on optical imaging. Background Art

[0002] With the rapid development of fields such as electric vehicles and wearable devices, as a key energy storage device, the quality and safety of lithium batteries have received extensive attention. And the pole piece of the lithium battery is one of the core components of the lithium battery. The defect detection effect of the pole piece in the production process of the pole piece not only affects the battery performance, but also may cause safety problems. Therefore, it is crucial to perform efficient and accurate defect detection on the surface of the lithium battery pole piece.

[0003] When most pole piece production equipment performs pole piece defect detection, the pole piece is in the process of being transported. During the transportation of the pole piece, since dust is likely to fall on the surface of the pole piece, the color of the surface of the transportation belt becomes very similar to the color of the pole piece. At this time, how to quickly locate the position of the pole piece on the transportation belt to complete the corresponding defect detection has become a major problem. Summary of the Utility Model

[0004] In order to achieve the above objects and other advantages of the present utility model, the object of the present utility model is to provide a pole piece edge positioning detection system based on optical imaging, including an image acquisition device, a first industrial light source, and a second industrial light source. The first industrial light source is installed on the back of the pole piece transportation device, and the second industrial light source and the image acquisition device are installed on the front of the pole piece transportation device. The image acquisition device is used to acquire pole piece images, the first industrial light source is used to provide the light intensity penetrating the conveyor belt in the pole piece transportation device, and the second industrial light source is used to ensure the surface brightness of the pole piece.

[0005] Further, the image acquisition device includes an industrial camera and an industrial lens, and the industrial lens is installed on the industrial camera.

[0006] Further, the shooting direction of the industrial camera is perpendicular to the movement direction of the pole piece, and the horizontal center line of the industrial camera coincides with the center line of the movement direction of the pole piece.

[0007] Further, the industrial camera is a TDI line array scanning camera.

[0008] Further, the propagation direction of the illumination light of the first industrial light source is perpendicular to the pole piece.

[0009] Further, the propagation direction of the illumination light of the second industrial light source forms an acute angle with the pole piece.

[0010] Further, both the first industrial light source and the second industrial light source are white strip industrial light sources.

[0011] Furthermore, the first industrial light source is a white strip-shaped industrial light source with an illuminance of 130 Klux or more.

[0012] Furthermore, the second industrial light source is a white strip-shaped industrial light source with an illuminance of 50 Klux or more.

[0013] Furthermore, both the first industrial light source and the second industrial light source are constantly on light sources.

[0014] Compared with the prior art, the beneficial effects of the embodiments of the present utility model are as follows:

[0015] The present utility model provides a pole piece edge positioning detection system based on optical imaging, which can effectively distinguish between the pole piece and the belt after dust accumulation, and has higher positioning efficiency and accuracy. The implementation scheme is simple and easy to use, with high feasibility. This solution is not only applicable to the pole piece positioning in the defect detection of the slitting and stacking machine, but also applicable to the positioning of related products that will drop dust and have a low thickness.

[0016] The above description is only an overview of the technical solution of the present utility model. In order to be able to understand the technical means of the present utility model more clearly and implement it in accordance with the content of the description, the following takes the preferred embodiments of the present utility model and combines them with the attached drawings for detailed description as follows. The specific implementation manners of the present utility model are given in detail by the following embodiments and their attached drawings. Description of the Drawings

[0017] The drawings described herein are used to provide a further understanding of the present utility model and form a part of this application. The schematic embodiments of the present utility model and their descriptions are used to explain the present utility model and do not constitute an improper limitation to the present utility model. In the drawings:

[0018] Figure 1 It is a schematic diagram of the pole piece edge positioning detection system based on optical imaging in Embodiment 1;

[0019] Figure 2 It is the imaging effect of the existing solution;

[0020] Figure 3 It is the imaging effect of Embodiment 1.

[0021] In the figure: 1. Image acquisition device; 11. Industrial camera; 12. Industrial lens; 2. First industrial light source; 3. Second industrial light source; 4. Pole piece transportation device; 41. Conveyor belt; 5. Pole piece. Detailed Implementation Manner

[0022] Next, in combination with the attached drawings and specific implementation manners, the present utility model will be further described. It should be noted that on the premise of no conflict, the following described embodiments or technical features can be combined with each other arbitrarily to form new embodiments.

[0023] In the following description, suffixes such as "component" or "unit" used to represent components are only for the convenience of describing the present utility model, and have no specific meaning in themselves. Therefore, "component" and "unit" can be used interchangeably.

[0024] Embodiment 1

[0025] The pole piece edge positioning detection system based on optical imaging is not only applicable to the pole piece positioning for defect detection of the slitting and laminating machine, but also applicable to the positioning of related products with falling dust and low thickness. As Figure 1 shown, the system includes an image acquisition device 1, a first industrial light source 2, and a second industrial light source 3. The first industrial light source 2 is installed on the back of the pole piece transportation device 4, and the second industrial light source 3 and the image acquisition device 1 are installed on the front of the pole piece transportation device 4. The image acquisition device 1 is used to acquire pole piece images, the first industrial light source 2 is used to provide the light intensity penetrating the conveyor belt 41 in the pole piece transportation device 4, and the second industrial light source 3 is used to ensure the surface brightness of the pole piece 5. In this embodiment, the conveyor belt 41 is a bright yellow belt for carrying the pole piece 5.

[0026] In some embodiments, as Figure 1 shown, the image acquisition device 1 includes an industrial camera 11 and an industrial lens 12, and the industrial lens 12 is installed on the industrial camera 11.

[0027] Since the exposure time of a conventional line array scanning camera needs to be very low when meeting the maximum line frequency, in the application of pole piece defect detection of the slitting and laminating machine, a second industrial light source 3 with a very high intensity is required to ensure that the gray value of the pole piece surface in the captured image meets the algorithm detection requirements. And because the intensity of the second industrial light source 3 is very high, the intensity of the first industrial light source 2 penetrating the belt must be less than that of the second industrial light source 3. Therefore, a line array scanning camera with an image brightness much greater than that of a conventional line array scanning camera under the same light source scheme needs to be selected to reduce the intensity of the second industrial light source 3 so that the intensity of the first industrial light source 2 penetrating the belt is still greater than that of the second industrial light source 3. To match the above conditions, the industrial camera 11 in this embodiment is a TDI line array scanning camera, and the industrial lens 12 is a high-definition lens adapted to the TDI line array scanning camera. Specifically, a 256-line TDI line array scanning camera can be selected, and its brightness is 256 times that of a conventional line array scanning camera.

[0028] After imaging tests and considering the imaging characteristics of the TD I linear array scanning camera, the shooting direction of the industrial camera 11 is perpendicular to the moving direction of the pole piece 5, that is, the shooting direction of the industrial camera 11 forms a 90° angle with the moving direction of the pole piece. When the horizontal center line of the industrial camera 11 coincides with the center line of the moving direction of the pole piece 5, the difference in imaging gray values between the edge of the pole piece and the background belt is the largest (the difference is ≥150 when there is no dust and ≥70 when there is dust), and the imaging effect of the edge of the pole piece is the best and the clarity is the highest, as Figure 3 shown. Figure 3 The imaging effect shown is significantly improved compared to Figure 2 the imaging effect shown.

[0029] In some embodiments, the product is placed horizontally with the back facing up. The propagation direction of the illumination light of the first industrial light source 2 is perpendicular to the pole piece 5, and the propagation direction of the illumination light of the second industrial light source 3 forms an acute angle with the pole piece 5, preferably a 45° angle; the shooting direction of the industrial camera 11 is perpendicular to the moving direction of the pole piece, and the horizontal center line of the camera coincides with the center line of the moving direction of the pole piece.

[0030] Since the first industrial light source 2 is on the back of the belt and dust will accumulate on the surface of the belt after long-term operation, a large light source intensity needs to be selected. And the second industrial light source 3 is on the front of the belt, only the brightness of the surface of the pole piece needs to be ensured, so the selected light source intensity is general. Therefore, in this embodiment, the illuminance of the first industrial light source 2 is above 130 Klux, and the illuminance of the second industrial light source 3 is above 50 Klux.

[0031] Since dust will fall from the surface of the pole piece onto the belt, after long-term operation, it will cause the pole piece to be unable to be located during defect detection. Due to the above imaging characteristics, combined with the fact that the surface material of the pole piece itself is black carbon powder and the gray value is low during imaging, it is necessary to increase the gray value of the background imaging, thereby effectively improving the contrast between the pole piece and the background. Therefore, in this embodiment, a high-intensity strip light source is used and placed on the back of the belt and on the handling path of the pole piece. Specifically, the first industrial light source 2 is a white strip industrial light source with an illuminance above 130 Klux, and the second industrial light source 3 is a white strip industrial light source with an illuminance above 50 Klux.

[0032] The detection steps of the system: Turn on the first industrial light source 2 and the second industrial light source 3 (both the first industrial light source 2 and the second industrial light source 3 are constantly on light sources), the conveyor belt 41 of the pole piece transport device 4 drives the pole piece 5 to start moving, the industrial camera 11 starts to take pictures, after the industrial camera 11 collects a certain number of rows, the picture taking is completed, the image is saved, and the visual algorithm reads the image and locates the pole piece 5.

[0033] In view of the problem that dust drops during the handling of the above-mentioned pole piece, resulting in the color of the pole piece being almost the same as the background color and making it difficult to locate the pole piece during defect detection, the present utility model proposes a pole piece edge positioning and detection system based on optical imaging, which can achieve rapid positioning during defect detection of the pole piece during handling, and at the same time reduce the over-inspection rate caused by difficult positioning in subsequent algorithms.

[0034] It should also be noted that the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, commodity or device including the said element.

[0035] This specification can be described in the general context of computer-executable instructions executed by a computer, such as program units. Generally, program units include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The specification can also be practiced in a distributed computing environment, where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program units can be located in local and remote computer storage media including storage devices.

[0036] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and reference can be made to the corresponding parts of the method embodiments for the relevant content.

[0037] The above is only for the embodiments of this specification and is not used to limit one or more embodiments of this specification. For those skilled in the art, one or more embodiments of this specification can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of one or more embodiments of this specification.

Claims

1. The pole piece edge positioning and detection system based on optical imaging, characterized in that: It includes an image acquisition device, a first industrial light source, and a second industrial light source. The first industrial light source is installed on the back of the pole piece transportation device, and the second industrial light source and the image acquisition device are installed on the front of the pole piece transportation device. The image acquisition device is used to acquire pole piece images, the first industrial light source is used to provide the light intensity that penetrates the conveyor belt in the pole piece transportation device, and the second industrial light source is used to ensure the surface brightness of the pole piece.

2. The edge positioning detection system for pole pieces based on optical imaging according to claim 1, characterized in that: The image acquisition device includes an industrial camera and an industrial lens, and the industrial lens is installed on the industrial camera.

3. The edge positioning detection system for the pole piece based on optical imaging according to claim 2, characterized in that: The shooting direction of the industrial camera is perpendicular to the moving direction of the pole piece, and the horizontal center line of the industrial camera coincides with the center line of the moving direction of the pole piece.

4. The edge positioning detection system for the pole piece based on optical imaging according to claim 2, wherein: The industrial camera is a TDI linear array scanning camera.

5. The edge positioning detection system for the pole piece based on optical imaging according to claim 1, characterized in that: The propagation direction of the illumination light of the first industrial light source is perpendicular to the pole piece.

6. The edge positioning detection system for the pole piece based on optical imaging according to claim 5, wherein: The propagation direction of the illumination light of the second industrial light source forms an acute angle with the pole piece.

7. The edge positioning detection system for the pole piece based on optical imaging according to claim 1, characterized in that: Both the first industrial light source and the second industrial light source are white strip industrial light sources.

8. The edge positioning detection system for the pole piece based on optical imaging according to claim 7, wherein: The first industrial light source is a white strip industrial light source with an illuminance of more than 130 Klux.

9. The edge positioning detection system for the pole piece based on optical imaging according to claim 8, wherein: The second industrial light source is a white strip industrial light source with an illuminance of more than 50 Klux.

10. The edge positioning detection system for pole pieces based on optical imaging according to claim 1, wherein: Both the first industrial light source and the second industrial light source are constant light sources.

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