CN110554053A - Battery coating defect detection equipment - Google Patents

Battery coating defect detection equipment Download PDF

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Publication number
CN110554053A
CN110554053A CN201910741464.0A CN201910741464A CN110554053A CN 110554053 A CN110554053 A CN 110554053A CN 201910741464 A CN201910741464 A CN 201910741464A CN 110554053 A CN110554053 A CN 110554053A
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CN
China
Prior art keywords
image sensor
pole piece
battery
battery pole
coating defect
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910741464.0A
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Chinese (zh)
Inventor
张俊峰
叶长春
易群生
黄家富
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Guangzhou Supersonic Automation Technology Co Ltd
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Guangzhou Supersonic Automation Technology Co Ltd
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Publication date
Application filed by Guangzhou Supersonic Automation Technology Co Ltd filed Critical Guangzhou Supersonic Automation Technology Co Ltd
Priority to CN201910741464.0A priority Critical patent/CN110554053A/en
Publication of CN110554053A publication Critical patent/CN110554053A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/01Arrangements or apparatus for facilitating the optical investigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined

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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention discloses a battery coating defect detection device, and belongs to the field of defect detection. The battery coating defect detection equipment comprises a conveying assembly and a detection assembly, wherein the conveying assembly is used for conveying a battery pole piece to be detected; a detection assembly including an image sensor and a light source assembly including a light emitting member; the light-emitting part is used for emitting light rays which are inclined relative to the surface of the battery pole piece so as to generate a bright field; the image sensor is used for collecting the image of the surface of the battery pole piece in a bright field. The battery coating defect detection equipment can effectively highlight the defect characteristics and is beneficial to improving the defect detection effect.

Description

Battery coating defect detection equipment
Technical Field
The invention relates to the field of defect detection, in particular to a battery coating defect detection device.
background
at present, in the process of manufacturing batteries, a coater is required to coat a battery pole piece to uniformly coat the uniformly stirred slurry on a current collector, and the coating effect has an important influence on the battery capacity, internal resistance, safety and the like. During the battery coating process, due to the selection of the coating mode and the difference of related control parameters, coating defects may exist, such as: the pole piece surface coating has the phenomena of cracking, falling, crumpling, indentation, foil leakage, improper coating size, irregular particle and pit and the like. Therefore, in order to ensure the coating quality, defect detection is also needed after the battery coating.
However, in the prior art, the coating defects of the battery are generally detected by a manual detection method, and the detection method has low efficiency, is easy to cause the condition of missing detection and has poor detection effect; although the prior art has detection equipment for detecting the coating effect of the battery, the defect identification is not sensitive enough, and the detection is easy to miss.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a battery coating defect detection device capable of improving the detection effect.
the purpose of the invention is realized by adopting the following technical scheme:
a battery coating defect detection apparatus comprising:
The conveying assembly is used for conveying the battery pole piece to be detected;
A detection assembly including an image sensor and a light source assembly including a light emitting member; the light-emitting part is used for emitting light rays which are inclined relative to the surface of the battery pole piece so as to generate a bright field; the image sensor is used for acquiring the image of the surface of the battery pole piece in the bright field.
Furthermore, the image sensor is obliquely arranged relative to the surface of the battery pole piece to be detected, and the image sensor is used for acquiring the image of the surface of the battery pole piece at an oblique angle.
Furthermore, the light source assembly further comprises a light shielding plate, the light shielding plate is arranged between the battery pole piece and the image sensor, and the light shielding plate is provided with an avoidance groove; the image sensor is configured to acquire a view field aligned with the avoidance groove, so as to acquire an image of the surface of the battery pole piece through the avoidance groove.
Further, the device also comprises a frame;
The light source assembly further comprises a first mounting frame which is rotatably connected with the rack, and the light emitting piece is fixed on the first mounting frame; the first mounting frame is used for driving the luminous piece to rotate relative to the rack, so that the inclination angle of the luminous piece relative to the surface of the battery pole piece is changed.
Further, the device also comprises a frame;
The detection assembly further comprises a second mounting frame rotatably connected with the rack; the image sensor is fixed on the frame; the second mounting rack is used for driving the image sensor to rotate relative to the rack, so that the inclination angle of the image sensor relative to the battery pole piece is changed;
The light source assembly further comprises a first mounting frame which is rotatably connected with the rack, and the shading plate is fixed on the first mounting frame; the first mounting rack is used for driving the shading plate to rotate relative to the rack, so that the position of the avoiding groove is changed.
Further, the device also comprises an encoder and a control system; when the conveying assembly drives the battery pole piece to move, the battery pole piece drives the encoder to rotate; the encoder is used for sending a photographing signal to the control system when the encoder rotates, and the control system is used for controlling the image sensor to photograph after receiving the photographing signal.
further, the light source is a line scanning bar light source.
Further, the image sensor is a line camera.
further, the system also comprises a data processing unit and an early warning unit;
The data processing unit is used for receiving the image sent by the image sensor and splicing and identifying defects of the acquired image;
The early warning unit is used for carrying out defect early warning according to the defect identification result of the data processing unit.
compared with the prior art, the invention has the beneficial effects that: the coating defect can be highlighted, the comprehensiveness of defect characteristics in the image acquired by the image sensor can be improved, the missing rate can be reduced, and the coating defect detection effect can be improved.
drawings
FIG. 1 is a first schematic structural diagram of a defect detection apparatus for battery coating according to the present invention;
FIG. 2 is an enlarged view of portion A of FIG. 1;
FIG. 3 is a schematic structural diagram of a battery coating defect detecting apparatus according to the present invention;
FIG. 4 is an enlarged view of portion B of FIG. 3;
FIG. 5 is a flow chart of the detection of the coating defect detection apparatus of the present invention;
FIG. 6 is a schematic diagram of the operation of the apparatus for detecting coating defects of a battery according to the present invention;
FIG. 7 is a schematic view of an interface for operation of the control system of the present invention;
In the figure: 10. a transfer assembly; 21. an image sensor; 221. a light emitting member; 222. a visor; 2221. an avoidance groove; 31. a first mounting bracket; 32. a second mounting bracket; 90. and (4) battery pole pieces.
Detailed Description
the present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
referring to fig. 1-7, the present embodiment provides a device for detecting coating defects of a battery, including: a frame, a conveying assembly 10 and a detection assembly; in this embodiment, the conveying assembly 10 is a conveying roller set formed by a plurality of conveying rollers in a matching manner, the conveying rollers are mounted on the frame, and the flexible battery pole piece 90 to be detected is conveyed along the length direction of the battery pole piece 90 under the rotation of the conveying rollers; the detecting assembly includes an image sensor 21 and a light source assembly, as shown in fig. 3 and 4, the light source assembly includes a light emitting element 221; the light-emitting member 221 is used for emitting light inclined relative to the surface of the battery pole piece 90 to generate a bright field; the image sensor 21 is used to capture an image of the surface of the battery pole piece 90 in bright field.
In the present embodiment, the image sensor 21 is an industrial CCD camera, specifically, a black-and-white line camera; in other embodiments, the image sensor 21 may be a color line camera or an area camera.
in the present embodiment, the light emitting member 221 is an industrial light source, specifically, a line scan bar light source.
On the basis of above-mentioned structure, this embodiment configures illuminating part 221 into the light of relative battery pole piece 90 surface slope of emitting toward battery pole piece 90 surface, when the bubble that battery pole piece 90 coating layer exists, shrivelled, the mar, when beating unevenness's such as wrinkle defect, can avoid the unobvious condition of unsmooth defect, defect characteristics can effectively be highlighted for the image that image sensor 21 can gather can contain more comprehensive defect characteristics, can reduce the omission factor, effectively promote detection effect.
referring to fig. 3 and 4, preferably, the image sensor 21 and the light-emitting element 221 in this embodiment are configured in a staggered axis arrangement, that is, configured in a non-coaxial arrangement, that is, the light path from the image sensor 21 to the battery pole piece 90 is staggered from the light path from the light-emitting element 221 to the battery pole piece 90, so as to prevent light from directly irradiating the surface of the battery pole piece 90 to generate glare, and especially, when metal is exposed on the surface of the battery pole piece 90, prevent light emitted from the light source from being directly reflected to the image sensor 21, and prevent the defect image acquisition effect of the image sensor 21 from being affected by the glare.
Preferably, in order to improve the collected image and enable the defect characteristics to be more comprehensively embodied and improve the sensitivity of defect characteristic collection of the image sensor 21, the image sensor 21 is obliquely arranged relative to the surface of the battery pole piece 90 to be detected, and the image sensor 21 is used for collecting the image of the surface of the battery pole piece 90 at an oblique angle; through the arrangement of the structure, if a thin adhesive tape is attached on the surface of the coating area by mistake or a tiny wrinkle exists in the coating area, the image sensor 21 collects images at an inclined angle, so that even if a tiny concave-convex defect exists, the collected images collected by the image sensor 21 can be displayed, the identification rate can be improved, and the omission ratio can be reduced.
Referring to fig. 2, preferably, in order to avoid the stray light affecting the image acquisition of the image sensor 21, the light source assembly further includes a light shielding plate 222, the light shielding plate 222 is disposed between the battery pole piece 90 and the image sensor 21, and the light shielding plate 222 is provided with an avoiding groove 2221; the image sensor 21 is configured to capture a view field aligned with the avoidance slot 2221, thereby capturing an image of the surface of the battery pole piece 90 through the avoidance slot 2221.
On the basis of above-mentioned structure, in order to detect the detection demand of pole piece according to waiting to detect of difference, configure light source subassembly, determine module into inclination adjustable structure in this embodiment, specifically realize through following structure:
Referring to fig. 3 and 4, the defect detecting apparatus further includes a frame; the light source assembly further comprises a first mounting bracket 31 rotatably connected with the frame, and the light-emitting member 221 is fixed on the first mounting bracket 31; the first mounting frame 31 is used for driving the light-emitting member 221 to rotate relative to the frame, so that the inclination angle α of the light-emitting member 221 relative to the surface of the battery pole piece 90 changes; the light shielding plate 222 is fixed to the first mounting frame 31; the first mounting bracket 31 is used for driving the light shielding plate 222 to rotate relative to the frame, so that the position of the avoiding groove 2221 is changed; the detection assembly further comprises a second mounting bracket 32 rotatably connected to the frame; the image sensor 21 is fixed to the chassis; the second mounting bracket 32 is used for driving the image sensor 21 to rotate relative to the frame, so that the inclination angle β of the image sensor 21 relative to the battery pole piece 90 changes.
in the present embodiment, the angles α and β are configured to be unequal, so as to prevent light from being directly reflected to the image sensor 21 at the position of the foil leakage on the surface of the battery pole piece 90 after the light is emitted from the light source, which causes glare and affects the image capturing effect.
In other embodiments, glare may also be avoided by disposing a polarizer on the image sensor 21.
specifically, when the light emitting member 221 rotates, the α angle can be adjusted, so that the defect is effectively highlighted; when the image sensor 21 rotates, the beta angle can be adjusted, so that the image sensor 21 can shoot some defect features which are difficult to shoot, and the recognition rate is improved; when the light shielding plate 222 rotates, the position of the avoiding groove 2221 can be adjusted, so that the image sensor 21 can capture an image of the surface of the battery pole piece 90 through the avoiding groove 2221.
The detection speed is less than or equal to 5m/min, the detection width is less than or equal to 450mm, the detection precision is 0.5mm, and the line camera adopted in the embodiment is an 8k camera.
Preferably, an encoder and a control system are also included; when the conveying assembly 10 drives the battery pole piece 90 to move, the battery pole piece 90 triggers the encoder to rotate; the encoder sends a photographing signal to the control system, and the control system is used for controlling the image sensor 21 to take a picture after receiving the photographing signal.
preferably, the system also comprises a data processing unit and an early warning unit; the data processing unit is used for receiving the image sent by the image sensor 21 and splicing and identifying defects of the acquired image; the early warning unit is used for carrying out defect early warning according to the defect identification result of the data processing unit.
referring to fig. 5 and 6, the process of detecting coating defects of the battery of the present embodiment includes:
After the pole piece is coated with the coating and dried, the encoder triggers the linear array camera to take pictures, the data processing unit receives images sent by the linear array camera, the collected images are spliced to obtain target images, the target images are subjected to defect extraction to obtain defect areas, characteristic values of the defect areas are calculated, the defects are classified and matched according to the characteristic values, the defect types are determined, whether defect characteristic threshold values exceed preset values or not is judged, if the defect characteristic values exceed the threshold values, the data processing unit sends early warning signals to the early warning unit, the early warning unit carries out direct early warning shutdown operation, or the marking assembly is controlled to carry out marking operation on the defect positions.
The data processing unit in the embodiment realizes the identification of the pole piece coating defects by using an algorithm combining deep learning and image characteristic analysis.
Referring to fig. 7, when the battery coating defect apparatus of the present embodiment is used for detection, the type of defect to be detected can be selected, and a defect threshold can be set on the control system.
the above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.

Claims (9)

1. A battery coating defect detection apparatus, comprising:
the conveying assembly is used for conveying the battery pole piece to be detected;
a detection assembly including an image sensor and a light source assembly including a light emitting member; the light-emitting part is used for emitting light rays which are inclined relative to the surface of the battery pole piece so as to generate a bright field; the image sensor is used for acquiring the image of the surface of the battery pole piece in the bright field.
2. The battery coating defect detecting apparatus of claim 1, wherein:
The image sensor is obliquely arranged relative to the surface of the battery pole piece to be detected and is used for collecting the image of the surface of the battery pole piece at an oblique angle.
3. The battery coating defect detecting apparatus of claim 2, wherein:
The light source component also comprises a light screen, the light screen is arranged between the battery pole piece and the image sensor, and is provided with an avoidance groove; the image sensor is configured to acquire a view field aligned with the avoidance groove, so as to acquire an image of the surface of the battery pole piece through the avoidance groove.
4. the battery coating defect detecting apparatus of claim 3, wherein:
the device also comprises a frame;
the light source assembly further comprises a first mounting frame which is rotatably connected with the rack, and the light emitting piece is fixed on the first mounting frame; the first mounting frame is used for driving the luminous piece to rotate relative to the rack, so that the inclination angle of the luminous piece relative to the surface of the battery pole piece is changed.
5. The battery coating defect detecting apparatus of claim 3, wherein:
The device also comprises a frame;
the detection assembly further comprises a second mounting frame rotatably connected with the rack; the image sensor is fixed on the frame; the second mounting rack is used for driving the image sensor to rotate relative to the rack, so that the inclination angle of the image sensor relative to the battery pole piece is changed;
the light source assembly further comprises a first mounting frame which is rotatably connected with the rack, and the shading plate is fixed on the first mounting frame; the first mounting rack is used for driving the shading plate to rotate relative to the rack, so that the position of the avoiding groove is changed.
6. The battery coating defect detecting apparatus of claim 1, wherein:
The device also comprises an encoder and a control system; when the conveying assembly drives the battery pole piece to move, the battery pole piece drives the encoder to rotate; the encoder is used for sending a photographing signal to the control system when the encoder rotates, and the control system is used for controlling the image sensor to photograph after receiving the photographing signal.
7. The battery coating defect detecting apparatus of claim 1, wherein:
the light source is a linear scanning bar-shaped light source.
8. The battery coating defect detecting apparatus of claim 1, wherein:
the image sensor is a line-scan camera.
9. The battery coating defect detecting apparatus of claim 1, wherein:
The system also comprises a data processing unit and an early warning unit;
The data processing unit is used for receiving the image sent by the image sensor and splicing and identifying defects of the acquired image;
The early warning unit is used for carrying out defect early warning according to the defect identification result of the data processing unit.
CN201910741464.0A 2019-08-12 2019-08-12 Battery coating defect detection equipment Pending CN110554053A (en)

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Cited By (4)

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CN111495702A (en) * 2020-05-26 2020-08-07 苏州凌威新能源科技有限公司 Detection control system and method for pole piece coating size
CN111879778A (en) * 2020-06-29 2020-11-03 浙江双元科技开发有限公司 Lithium cell module CCD visual detection device
CN114782429A (en) * 2022-06-17 2022-07-22 深圳市菲尼基科技有限公司 Image-based lithium battery defect detection method, device, equipment and storage medium
WO2023272421A1 (en) * 2021-06-28 2023-01-05 Shenzhen Xpectvision Technology Co., Ltd. Battery film testing with imaging systems

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Cited By (5)

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Publication number Priority date Publication date Assignee Title
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CN111879778A (en) * 2020-06-29 2020-11-03 浙江双元科技开发有限公司 Lithium cell module CCD visual detection device
WO2023272421A1 (en) * 2021-06-28 2023-01-05 Shenzhen Xpectvision Technology Co., Ltd. Battery film testing with imaging systems
CN114782429A (en) * 2022-06-17 2022-07-22 深圳市菲尼基科技有限公司 Image-based lithium battery defect detection method, device, equipment and storage medium

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