A lithium battery separator PVDF roller coating online production line glue leakage detection system and device

Abstract

The invention discloses a system and device for detecting glue leakage in an online production line of PVDF roller coating for lithium battery diaphragms, comprising a main control terminal, on which a detection unit is connected, for accurately detecting PVDF leakage of lithium battery diaphragms; the detection unit comprises a reflection station, for detecting ceramic and PVDF leakage; a transmission station, for detecting ceramic leakage; and an algorithm module, which is connected to the transmission station via a transmission harness, and which shields the detection of ceramic leakage at the reflection station by calculating the position and type of defects, in combination with the detection defects of the transmission station, so as to achieve the effect of detecting PVDF leakage, wherein a high-brightness line scanning light source module is arranged on the reflection station; a detection station for reflection of the upper and lower surfaces of the lithium battery diaphragm is added, and the pixel accuracy reaches 0.08 mm / pixel, and the software algorithm shields the detection of ceramic leakage at the reflection station by calculating the position and type of defects, in combination with the detection defects of the transmission station.

Description

Technical Field

[0001] The invention belongs to the technical field of PVDF roller coating online detection, and specifically relates to a lithium battery diaphragm PVDF roller coating online production line glue leakage detection system and device. Background Art

[0002] In the structure of lithium batteries, the diaphragm is one of the key inner components. The main function of the diaphragm is to separate the positive and negative electrodes of the battery to prevent the two electrodes from contacting and short-circuiting. In addition, it also has the function of allowing electrolyte ions to pass through. The electrolyte of lithium batteries is usually an organic solvent, such as dimethyl carbonate. PVDF membrane has good chemical stability and mechanical strength, which can effectively prevent electrolyte leakage and short-circuit. In the production of PVDF layer, it is necessary to detect whether there is leakage in the PVDF layer to ensure that normal use is not affected in the future.

[0003] At present, in the conventional detection scheme, the detection of PVDF coating leakage is directly abandoned, or a better detection angle is adjusted by adding a reflection station. However, this method lacks a defect merging algorithm and cannot distinguish between ceramic coating leakage and PVDF coating leakage. At the same time, since the thickness of the PVDF coating is very thin and transparent, there is only a transmission station, which cannot detect PVDF coating leakage on the lithium battery separator. Summary of the invention

[0004] The purpose of the present invention is to provide a lithium battery separator PVDF roller coating online production line leakage detection system and device to solve the problem mentioned in the above background technology that in the current conventional detection scheme, the detection of PVDF leakage is directly abandoned, or a better detection angle is adjusted by adding a reflection station, but this method lacks a defect merging algorithm and cannot distinguish between ceramic leakage and PVDF leakage.

[0005] To achieve the above object, the present invention provides the following technical solution: a lithium battery separator PVDF roller coating online production line glue leakage detection system, comprising a main control terminal, connected to the main control terminal

[0006] Detection unit, used to accurately detect PVDF leaks on lithium battery separators;

[0007] The detection unit comprises

[0008] Reflection station for detecting ceramic and PVDF leaks;

[0009] Transmission station, used to detect ceramic leaks;

[0010] It also includes an algorithm module, which is connected to the transmission station through a transmission harness. The algorithm module calculates the location and type of defects, combines the detection defects of the transmission station, shields the detection of ceramic coating leaks at the reflection station, and achieves the effect of detecting PVDF coating leaks.

[0011] Preferably, a high-brightness line-scanning light source module is provided on the reflection station, and the high-brightness line-scanning light source module is inclined toward the PVDF to be detected.

[0012] Preferably, the high-brightness line scanning light source module is provided with an angle adjustment module, and the angle adjustment module is used to adjust the tilt angle of the high-brightness line scanning light source module, wherein the adjustment range of the tilt angle is 30-40°.

[0013] Preferably, the data backup module is wirelessly connected to the main control terminal and the external cloud platform.

[0014] Preferably, the algorithm method of the algorithm module includes

[0015] a. Image processing algorithm:

[0016] Firstly, the ceramic leak-coating images detected at the transmission station are preprocessed, including contrast enhancement and denoising.

[0017] Apply image segmentation algorithms, such as Otsu algorithm and region growing algorithm, to segment the missed coating area;

[0018] Apply morphological operations, such as opening and closing operations, to optimize the segmentation results, and finally merge multiple adjacent missed coating areas into a whole through the defect merging algorithm;

[0019] b. Deep learning algorithm:

[0020] Using deep learning algorithms, such as convolutional neural networks and recurrent neural networks, to detect leaks, first collect a large number of ceramic images detected at transmission stations and their corresponding label data;

[0021] Train a deep learning model. When a new image is input, the model can automatically identify the missed coating areas and merge multiple adjacent missed coating areas into a whole through the defect merging algorithm.

[0022] c. Machine Learning Algorithms:

[0023] Machine learning algorithms, such as support vector machines and decision trees, are used for leak detection. First, a large number of ceramic images detected at transmission stations and their corresponding label data are collected;

[0024] Apply feature engineering methods to extract features of the image and train a machine learning model;

[0025] When a new image is input, the model can automatically identify the missed coating areas and merge multiple adjacent missed coating areas into a whole through a defect merging algorithm.

[0026] Preferably, it also includes a data backup module, which backs up the results of each detection by the detection unit and makes corresponding records.

[0027] The present invention also discloses a lithium battery diaphragm roller coating online production line leakage detection device, comprising an algorithm module, a cover plate is provided on the top of the algorithm module, a placement groove is provided on the cover plate and one side of the algorithm module, a connecting groove is extended upward from the center of the placement groove, the connecting groove is connected with the interior of the algorithm module, an air pipe is bonded to the bottom end surface of the cover plate, and air holes are equidistantly distributed on the bottom end surface of the air pipe, one end of the air pipe is closed, and the other end is connected through the connecting groove, a micro air pump is also installed in the placement groove, and the air outlet end of the air pump is connected to the air pipe, and in use, gas can be blown into the air pipe by the micro air pump, and then the gas in the air pipe will be discharged through the air holes, so as to cool the entire interior of the algorithm module.

[0028] Preferably, a data interface is provided on one side of the algorithm module, and a heat dissipation slot is provided on the other side.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] Add a detection station for the upper and lower surface reflections of the lithium battery separator, with a pixel accuracy of 0.08mm / pixel. The software algorithm calculates the location and type of defects, combines the detection defects of the transmission station, and shields the detection of ceramic coating leaks at the reflection station; it can also distinguish between ceramic coating leaks and PVDF coating leaks on lithium battery separators. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a system diagram of the present invention;

[0032] Figure 2 It is a structural diagram of the algorithm module of the present invention;

[0033] Figure 3 It is a bottom view of the connection between the cover plate and the air pipe of the present invention.

[0034] In the figure:

[0035] 100, algorithm module; 100a, data interface; 100b, heat dissipation slot; 100c, placement slot; 100d, connection slot;

[0036] 101. Cover plate; 102. Air pipe; 102a. Air vent. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Example 1

[0039] See also Figures 1 to 3 The present invention provides a technical solution: a lithium battery separator PVDF roller coating online production line glue leakage detection system, including a main control terminal, connected to the main control terminal

[0040] Detection unit, used to accurately detect PVDF leaks on lithium battery separators;

[0041] The detection unit includes

[0042] Reflection station for detecting ceramic and PVDF leaks;

[0043] Transmission station, used to detect ceramic leaks;

[0044] It also includes an algorithm module 100, which is connected to the transmission station through a transmission line bundle. The algorithm module 100 calculates the location and type of defects, combines the detection defects of the transmission station, shields the detection of ceramic coating leaks at the reflection station, and achieves the effect of detecting PVDF coating leaks.

[0045] In this embodiment, preferably, a high-brightness line scanning light source module is provided on the reflection station, and the high-brightness line scanning light source module is inclined toward the PVDF to be detected.

[0046] In this embodiment, preferably, an angle adjustment module is provided on the high-brightness line scanning light source module, and the angle adjustment module is used to adjust the tilt angle of the high-brightness line scanning light source module, wherein the adjustment range of the tilt angle is 30°.

[0047] In this embodiment, preferably, the data backup module is wirelessly connected to the main control terminal and the external cloud platform.

[0048] In this embodiment, preferably, the algorithm method of the algorithm module 100 includes

[0049] a. Image processing algorithm:

[0050] Firstly, the ceramic leak-coating images detected at the transmission station are preprocessed, including contrast enhancement and denoising.

[0051] Apply image segmentation algorithms, such as Otsu algorithm and region growing algorithm, to segment the missed coating area;

[0052] Apply morphological operations, such as opening and closing operations, to optimize the segmentation results, and finally merge multiple adjacent missed coating areas into a whole through the defect merging algorithm;

[0053] b. Deep learning algorithm:

[0054] Using deep learning algorithms, such as convolutional neural networks and recurrent neural networks, to detect leaks, first collect a large number of ceramic images detected at transmission stations and their corresponding label data;

[0055] Train a deep learning model. When a new image is input, the model can automatically identify the missed coating areas and merge multiple adjacent missed coating areas into a whole through the defect merging algorithm.

[0056] c. Machine Learning Algorithms:

[0057] Machine learning algorithms, such as support vector machines and decision trees, are used for leak detection. First, a large number of ceramic images detected at transmission stations and their corresponding label data are collected;

[0058] Apply feature engineering methods to extract features of the image and train a machine learning model;

[0059] When a new image is input, the model can automatically identify the missed coating areas and merge multiple adjacent missed coating areas into a whole through a defect merging algorithm.

[0060] In this embodiment, preferably, a data backup module is also included, and the data backup module backs up the results of each detection by the detection unit and makes corresponding records.

[0061] The present invention also discloses a device for detecting glue leakage in an online production line of a lithium battery diaphragm PVDF roller coating, comprising an algorithm module 100. A cover plate 101 is arranged on the top of the algorithm module 100. A placement groove 100c is provided on the cover plate 101 and one side of the algorithm module 100. A connecting groove 100d is extended upward from the center of the placement groove 100c. The connecting groove 100d is connected to the interior of the algorithm module 100. An air pipe 102 is bonded to the bottom end surface of the cover plate 101. Air holes 102a are equidistantly distributed on the bottom end surface of the air pipe 102. One end of the air pipe 102 is closed, and the other end is connected through the connecting groove 100d. A micro air pump is also installed in the placement groove 100c. The air outlet end of the air pump is connected to the air pipe 102. In use, gas can be blown into the air pipe 102 by the micro air pump, and then the gas in the air pipe 102 is discharged through the air holes 102a, so that the entire interior of the algorithm module 100 is cooled.

[0062] In this embodiment, preferably, a data interface 100a is provided on one side surface of the algorithm module 100, and a heat dissipation slot 100b is provided on the other side surface.

[0063] Example 2

[0064] The difference from the embodiment 1 is that an angle adjustment module is provided on the high-brightness line scanning light source module, and the angle adjustment module is used to adjust the tilt angle of the high-brightness line scanning light source module, wherein the adjustment range of the tilt angle is 40°.

[0065] Although embodiments of the present invention have been shown and described (see the above detailed description for details), it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A lithium battery separator PVDF roller coating online production line glue leakage detection system, including a main control terminal, characterized in that: The main control terminal is connected to Detection unit, used to accurately detect PVDF leaks on lithium battery separators; The detection unit comprises Reflection station for detecting ceramic and PVDF leaks; Transmission station, used to detect ceramic leaks; It also includes an algorithm module (100), wherein the algorithm module (100) is connected to the transmission station via a transmission line bundle, and the algorithm module (100) calculates the position and type of the defect, combines the defect detection of the transmission station, and shields the detection of ceramic coating leakage at the reflection station.

2. A lithium battery separator PVDF roller coating online production line glue leakage detection system according to claim 1, characterized in that: The reflection station is provided with a high-brightness line scanning light source module, and the high-brightness line scanning light source module is inclined toward the PVDF to be detected.

3. A lithium battery separator PVDF roller coating online production line glue leakage detection system according to claim 2, characterized in that: The high-brightness line scanning light source module is provided with an angle adjustment module, and the angle adjustment module is used to adjust the tilt angle of the high-brightness line scanning light source module, wherein the adjustment range of the tilt angle is 30-40°.

4. A lithium battery separator PVDF roller coating online production line glue leakage detection system according to claim 1, characterized in that: It also includes a data backup module, which is wirelessly connected to the main control terminal and the external cloud platform.

5. The lithium battery separator PVDF roller coating online production line leakage detection system according to claim 1, characterized in that: The algorithm method of the algorithm module (100) includes: a. Image processing algorithm: Firstly, the ceramic leak-coating images detected at the transmission station are preprocessed, including contrast enhancement and denoising. Apply image segmentation algorithm to segment the missed coating area; Morphological operations are applied to optimize the segmentation results, and finally multiple adjacent coating leakage areas are merged into a whole through defect merging algorithm; b. Deep learning algorithm: First, a large number of ceramic images detected by transmission stations and their corresponding label data are collected; Train a deep learning model. When a new image is input, the model can automatically identify the missed coating areas and merge multiple adjacent missed coating areas into a whole through the defect merging algorithm. c. Machine Learning Algorithms: First, a large number of ceramic images detected by transmission stations and their corresponding label data are collected; Apply feature engineering methods to extract features of the image and train a machine learning model; When a new image is input, the model can automatically identify the missed coating areas and merge multiple adjacent missed coating areas into a whole through a defect merging algorithm.

6. A lithium battery separator PVDF roller coating online production line glue leakage detection system according to claim 1, characterized in that: It also includes a data backup module, which backs up the results of each detection by the detection unit and makes corresponding records.

7. A device for detecting glue leakage in an online production line of a lithium battery separator PVDF roller coating, comprising the algorithm module (100) as claimed in any one of claims 1 to 6, characterized in that: A cover plate (101) is provided on the top of the algorithm module (100); a placement groove (100c) is provided on one side of the cover plate (101) and the algorithm module (100); a connection groove (100d) is provided at the center of the placement groove (100c) and extends upward; the connection groove (100d) is communicated with the interior of the algorithm module (100); an air pipe (102) is bonded to the bottom end surface of the cover plate (101); air holes (102a) are evenly distributed on the bottom end surface of the air pipe (102); one end of the air pipe (102) is closed, and the other end is connected to the connection groove (100d); a micro air pump is also installed in the placement groove (100c); the air outlet end of the air pump is connected to the air pipe (102).

8. The device for detecting glue leakage in an online production line of a lithium battery separator PVDF roller coating according to claim 7, characterized in that: One side surface of the algorithm module (100) is provided with a data interface (100a), while the other side surface is provided with a heat dissipation slot (100b).

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