Lithium battery diaphragm coating defect online detection device

Abstract

The invention discloses a lithium battery diaphragm coating defect on-line detection device, which comprises an image acquisition mechanism used for acquiring a coating image on the surface of a coating diaphragm; the identification control terminal is used for receiving the coating image acquired by the image acquisition mechanism and judging whether the acquired coating image meets preset conditions or not, and if the acquired coating image does not meet the preset conditions, defect areas and defect features in the coating image are acquired; and the identification mechanism is in signal control connection with the identification control terminal, and performs identification operation corresponding to the defect characteristics in the defect area of the coating diaphragm according to the defect area and the defect characteristics acquired by the identification control terminal. The invention relates to the technical field of diaphragm coating detection, through the arrangement, the diaphragm coating detection device is used for replacing manual detection, and defect characteristics of a defect area can be specifically identified in the detection process, so that rapid identification of subsequent procedures is facilitated, and the purpose of improving the detection rate and the production rate is achieved.

Description

Technical Field

[0001] The present invention belongs to the field of lithium batteries and relates to a lithium battery diaphragm coating detection technology, in particular to an online detection device for lithium battery diaphragm coating defects. Background Art

[0002] In the production process of lithium-ion battery separators, the coating process is crucial to ensure the uniformity and integrity of the separators. However, defects are prone to occur in this process due to production processes and other reasons. Specifically, common coating appearance defects include missing coating, bubbles and black spots, which will affect the further improvement of the puncture resistance of the separator. Therefore, the coating appearance quality monitoring is very important and will directly affect the production quality of the battery.

[0003] At present, most domestic isolation film manufacturers use manual detection methods to detect coating surface defects. This method will cause a large number of missed detections and false detections, and is inefficient and cannot achieve online real-time detection.

[0004] Therefore, an online detection device for lithium battery separator coating defects is needed to solve the above problems. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an online detection device for coating defects of lithium battery diaphragms, which is used to replace manual detection, and can perform specific identification operations on the defect features of the defect area during the detection process, so as to facilitate the rapid identification of subsequent processes, thereby achieving the purpose of improving the detection rate and production rate. The present invention sets an image acquisition mechanism, an identification control terminal and an identification mechanism, and uses the image acquisition mechanism to identify the coating image of the diaphragm, and then the identification control terminal determines whether the image meets the pre-set conditions. If not, the defect area and defect features in the layer image are further identified, and finally the identification mechanism is driven according to the identified defect area and defect features to perform an identification operation on the area that matches the defect features, that is, while completing the defect detection mark, the defect position can also be autonomously classified and identified, so that it can be more intuitively identified in the subsequent process, thereby achieving the purpose of improving the detection rate and production rate.

[0006] To achieve the above-mentioned object, the first aspect of the present invention provides an online detection device for coating defects of a lithium battery separator, comprising:

[0007] An image acquisition mechanism, the image acquisition mechanism is used to acquire an image of the coating on the surface of the coated diaphragm;

[0008] An identification control terminal, the identification control terminal is used to receive the coating image collected by the image collection mechanism, and determine whether the collected coating image meets the pre-set conditions, and if not, obtain the defect area and defect features in the coating image;

[0009] The identification mechanism is connected to the identification control terminal by signal control, and performs an identification operation corresponding to the defect feature in the defect area of ​​the coated diaphragm according to the defect area and defect feature acquired by the identification control terminal.

[0010] Furthermore, the image acquisition mechanism includes multiple groups of industrial cameras;

[0011] The multiple groups of industrial cameras are arranged above the coating membrane and arranged in sequence along the feeding direction of the coating membrane, so that a gap is reserved between two adjacent industrial cameras along the feeding direction of the coating membrane, and the range captured by the multiple groups of industrial cameras can cover the width direction of the coating membrane.

[0012] Furthermore, the image acquisition mechanism also includes a light source board;

[0013] The light source board is arranged below the coating membrane, and the brightness of the light source board can be adjusted, and the brightness of the light source board is proportional to the sum of the coating membrane and the coating thickness.

[0014] Furthermore, projections of the plurality of groups of industrial cameras in the vertical direction can all be located on the light source board.

[0015] Furthermore, the identification control terminal is built with a comparison module, and the comparison module compares the coating images taken by multiple groups of industrial cameras with pre-stored coating images to identify and determine whether pre-set conditions are met.

[0016] Furthermore, the identification control terminal has a built-in defect identification module and a storage module with a defect feature identification library;

[0017] When it is detected that the coating image captured by the industrial camera meets the pre-set conditions, the defect recognition module identifies the defect area and determines the defect features based on the defect feature recognition library.

[0018] Furthermore, the marking mechanism includes an inkjet tube and an ink cartridge;

[0019] The inkjet tube is arranged above the coating membrane and moves along the width direction of the coating membrane through a driving member;

[0020] The ink cartridge is connected to the inkjet tube via a flexible connecting tube with a solenoid valve;

[0021] The ink cartridges are provided in plurality, and the inks in the ink cartridges have different colors to correspond to the defect characteristics of the coated diaphragm respectively.

[0022] Furthermore, the driving component and the plurality of solenoid valves are all connected to the identification control terminal signal control.

[0023] Furthermore, the inner cavity of the inkjet tube has a number of partition chambers matching the number of ink cartridges, so as to be in corresponding communication with the plurality of ink cartridges;

[0024] Wherein, the partition chamber is configured as a ring structure with an open bottom, and a plurality of the partition chambers are concentrically arranged.

[0025] Furthermore, one-way valves are provided at the bottom openings of the plurality of separated chambers.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] By setting up an image acquisition mechanism, an identification control terminal and a marking mechanism, the image acquisition mechanism is used to identify the coating image of the diaphragm, and then the identification control terminal determines whether the image meets the pre-settings. If not, the defect area and defect features in the layer image are further identified. Finally, according to the identified defect area and defect features, the marking mechanism is driven to perform a marking operation on the area that matches the defect features. That is, while completing the defect detection marking, the defect position can also be autonomously classified and marked, so that it can be more intuitively identified in subsequent processes, thereby achieving the purpose of improving the detection rate and production rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 It is a structural schematic diagram of an online detection device for coating defects of a lithium battery separator according to an embodiment of the present invention;

[0030] Figure 2 It is a structural cross-sectional view of an inkjet tube in an online detection device for coating defects of a lithium battery diaphragm according to an embodiment of the present invention;

[0031] Figure 3 It is a bottom cross-sectional view of an inkjet tube in an online detection device for coating defects of a lithium battery diaphragm in one embodiment of the present invention;

[0032] Figure 4It is a bottom view of the inkjet tube in the on-line detection device for coating defects of lithium battery diaphragm in one embodiment of the present invention.

[0033] Figure Number:

[0034] 1. Image acquisition mechanism; 11. Industrial camera; 12. Light source board; 2. Identification control terminal; 3. Identification mechanism; 31. Inkjet tube; 32. Ink cartridge; 4. Driving part; 5. Solenoid valve; 6. Partition chamber; 7. One-way valve. DETAILED DESCRIPTION

[0035] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0036] See also Figure 1 The first embodiment of the present invention provides an online detection device for coating defects of a lithium battery separator, comprising:

[0037] The image acquisition mechanism 1 is used to acquire the coating image on the surface of the coated diaphragm.

[0038] The identification control terminal 2 is used to receive the coating image acquired by the image acquisition mechanism 1, and determine whether the acquired coating image meets the pre-settings. If not, the defect area and defect features in the coating image are obtained, so that the execution end can be controlled to perform identification operations based on the defect area and defect features.

[0039] Specifically, the identification mechanism 3 is connected to the identification control terminal 2 by signal control, and performs an identification operation corresponding to the defect feature in the defect area of ​​the coated diaphragm according to the defect area and defect feature acquired by the identification control terminal 2.

[0040] The device is provided with an image acquisition mechanism 1, an identification control terminal 2 and an identification mechanism 3. The image acquisition mechanism 1 is used to identify the coating image of the diaphragm. The identification control terminal 2 then determines whether the image meets the pre-setting. If not, the defect area and defect features in the layer image are further identified. Finally, according to the identified defect area and defect features, the identification mechanism 3 is driven to perform an identification operation on the area that matches the defect features. That is, while completing the defect detection marking, the defect position can also be autonomously classified and identified, so that it can be more intuitively identified in the subsequent process, thereby achieving the purpose of improving the detection rate and production rate.

[0041] In this embodiment, a specific image acquisition mechanism 1 is proposed to improve the acquisition effect of the coating image, so as to improve the accuracy of subsequent detection.

[0042] Specifically, the image acquisition mechanism 1 includes multiple groups of industrial cameras 11.

[0043] Among them, multiple groups of industrial cameras 11 are arranged above the coated membrane and are arranged in sequence along the feeding direction of the coated membrane, so that a gap is reserved between two adjacent industrial cameras 11 along the feeding direction of the coated membrane, and the range captured by the multiple groups of industrial cameras 11 can cover the width direction of the coated membrane. By reserving a gap between two adjacent industrial cameras 11, multiple industrial cameras 11 can stagger their shooting when shooting the area in the same width direction of the coated membrane, thereby avoiding mutual interference between the two industrial cameras 11 due to simultaneous shooting during the shooting process, that is, improving the clarity of the coating image acquisition, thereby improving the subsequent detection accuracy.

[0044] The image acquisition mechanism 1 further includes a light source board 12 for improving the clarity of images captured by the industrial camera 11 .

[0045] Specifically, the light source board 12 is disposed below the coating membrane. It should be noted that the light source emitted by the light source board 12 is a linear light source, so as to eliminate the influence of ambient light during shooting and improve the shooting effect.

[0046] The brightness of the light source panel 12 can be adjusted to correspond to different thicknesses of the coating membranes, that is, the brightness of the light source panel 12 is proportional to the sum of the thickness of the coating membrane and the coating, thereby improving the shooting effect of the coating image.

[0047] It should be noted that the adjustment of the brightness of the light source panel 12 is a conventional technical means in the prior art, so it will not be described in detail here.

[0048] It should also be noted that the projections of multiple groups of industrial cameras 11 in the vertical direction can all be located on the light source board 12, that is, the industrial cameras 11 are all located on the light source board 12, thereby avoiding the situation where the shooting effect is unclear due to the lack of light source from the light source board 12 during the shooting process of the industrial cameras 11.

[0049] In other embodiments, the identification control terminal 2 is further limited to better realize the functions of determining the coating image and identifying the defective area and defective features.

[0050] Specifically, the identification control terminal 2 is built with a comparison module (not shown in the figure), and the comparison module compares the coating images taken by multiple groups of industrial cameras 11 with pre-stored coating images to identify whether the pre-settings are met.

[0051] In addition, the identification control terminal 2 is built with a defect identification module (not shown in the figure) and a storage module with a defect feature identification library (not shown in the figure);

[0052] Specifically, when it is detected that the coating image portion taken by the industrial camera 11 meets the pre-set conditions, the defect recognition module identifies the defect area and determines the defect features based on the defect feature recognition library, thereby obtaining information on the defect area and defect features of the coating image, so as to facilitate subsequent specific identification operations in the defect area through the identification mechanism 3.

[0053] In a further embodiment, a specific marking mechanism 3 is also proposed, so as to be able to perform different marking operations according to different defect characteristics, so that subsequent processes can be identified more intuitively.

[0054] Specifically, the marking mechanism 3 includes an inkjet tube 31 and an ink cartridge 32 .

[0055] The inkjet tube 31 is disposed above the coating membrane and is moved along the width direction of the coating membrane by the driving member 4 so as to move to different defective areas for marking operations.

[0056] The ink cartridge 32 is connected to the inkjet tube 31 via a flexible connecting tube with a solenoid valve 5 .

[0057] It should be noted that there are multiple ink cartridges 32, and the ink colors in the ink cartridges 32 are different to correspond to the defect characteristics of the coated diaphragm.

[0058] In this embodiment, three ink cartridges 32 are provided to correspond to the three defect characteristics of coating membrane leakage, bubbles and black spots respectively. The defect characteristics are classified by marking with different colors of ink, so as to facilitate more intuitive identification in subsequent processes.

[0059] In addition, the driving member 4 and the plurality of solenoid valves 5 are all connected to the identification control terminal 2 via signal control.

[0060] The driving member 4 may use a motor and a lead screw in the prior art to complete the movement and feeding of the ink cartridge 32 .

[0061] like Figure 2 and Figure 3 As shown, in order to ensure that each ink cartridge 32 can be independently output from the inkjet tube 31, and to ensure that after the driving member 4 drives the inkjet tube 31 to move to a specific position according to the defective area, the spraying position will not be misaligned due to the independent spraying of the ink cartridge 32, the inkjet tube 31 is further limited here.

[0062] Specifically, the inner cavity of the inkjet tube 31 has a number of partition chambers 6 that matches the number of the ink cartridges 32 , so as to be in corresponding communication with the plurality of ink cartridges 32 .

[0063] The partition chamber 6 is configured as a ring structure with an opening at the bottom, and a plurality of the partition chambers 6 are concentrically arranged. The concentric arrangement ensures that no matter what defect characteristics the area has, the corresponding ink can be sprayed to the designated position.

[0064] like Figure 4 As shown, a one-way valve 7 is provided at the bottom opening of each of the plurality of separation chambers 6. Therefore, when one of the solenoid valves 5 is opened by the identification control terminal 2, the ink can rush out of the one-way valve 7 to complete the marking operation. When the solenoid valve 5 is in a closed state, the one-way valve 7 is reset to close the separation chamber 6 to ensure that the ink inside the chamber will not evaporate.

[0065] In this embodiment, the one-way valve 7 arranged on different separation chambers 6 can also be set to different shapes, such as a long strip or a square, so that each defect feature corresponds to a different color and a different identification shape, so as to further improve the subsequent recognition effect, and through the double recognition method, it is also possible to effectively reversely monitor whether the operation of the identification control terminal 2 is normal, to prevent errors in the identification control terminal 2 from occurring and failing to be discovered in time, thereby causing confusion in the identification.

[0066] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A lithium battery separator coating defect online detection device, characterized in that: include: An image acquisition mechanism (1), the image acquisition mechanism (1) being used to acquire an image of a coating on the surface of the coated diaphragm; An identification control terminal (2), the identification control terminal (2) is used to receive the coating image acquired by the image acquisition mechanism (1), and determine whether the acquired coating image meets the pre-set conditions, and if not, obtain the defect area and defect features in the coating image; An identification mechanism (3) is connected to the identification control terminal (2) by signal control, and performs an identification operation corresponding to the defect characteristics in the defect area of ​​the coated diaphragm according to the defect area and defect characteristics acquired by the identification control terminal (2).

2. The on-line detection device for coating defects of lithium battery separators according to claim 1, characterized in that: The image acquisition mechanism (1) comprises a plurality of groups of industrial cameras (11); The multiple groups of industrial cameras (11) are arranged above the coating membrane and are arranged in sequence along the feeding direction of the coating membrane, so that a gap is reserved between two adjacent industrial cameras (11) along the feeding direction of the coating membrane, and the range captured by the multiple groups of industrial cameras (11) can cover the width direction of the coating membrane.

3. The on-line detection device for coating defects of lithium battery separators according to claim 2, characterized in that: The image acquisition mechanism (1) also includes a light source board (12); The light source panel (12) is arranged below the coating membrane, and the brightness of the light source panel (12) can be adjusted, and the brightness of the light source panel (12) is proportional to the sum of the coating membrane and the coating thickness.

4. The on-line detection device for coating defects of lithium battery separators according to claim 3, characterized in that: The projections of the plurality of groups of industrial cameras (11) in the vertical direction can all be located on the light source board (12).

5. The on-line detection device for coating defects of lithium battery separators according to claim 2, characterized in that: The identification control terminal (2) is built with a comparison module, which compares the coating images taken by the multiple groups of industrial cameras (11) with the pre-stored coating images to identify and determine whether a preset setting is met.

6. The on-line detection device for coating defects of lithium battery separators according to claim 5, characterized in that: The identification control terminal (2) has a built-in defect identification module and a storage module with a defect feature identification library; When it is detected that the coating image captured by the industrial camera (11) meets the pre-set conditions, the defect recognition module recognizes the defect area and determines the defect features based on the defect feature recognition library.

7. The on-line detection device for coating defects of lithium battery separators according to claim 1, characterized in that: The marking mechanism (3) comprises an inkjet tube (31) and an ink cartridge (32); The inkjet tube (31) is arranged above the coating membrane and moves along the width direction of the coating membrane through a driving member (4); The ink cartridge (32) is connected to the inkjet tube (31) via a flexible connecting tube with a solenoid valve (5); A plurality of ink cartridges (32) are provided, and the inks in the ink cartridges (32) have different colors to respectively correspond to the defect characteristics of the coating diaphragm.

8. The on-line detection device for coating defects of lithium battery separators according to claim 7, characterized in that: The driving member (4) and the plurality of solenoid valves (5) are all connected to the identification control terminal (2) for signal control.

9. The on-line detection device for coating defects of lithium battery separators according to claim 7, characterized in that: The inner cavity of the inkjet tube (31) has a number of partition chambers (6) that matches the number of ink cartridges (32) so as to be in corresponding communication with the plurality of ink cartridges (32); Wherein, the partition chamber (6) is arranged as an annular structure with an open bottom, and a plurality of the partition chambers (6) are arranged concentrically.

10. The on-line detection device for coating defects of lithium battery separators according to claim 9, characterized in that: One-way valves (7) are provided at the bottom openings of the plurality of separation chambers (6).

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