CN106841213A - Detect the method and appearance images detecting system of battery diaphragm coating surface defect - Google Patents
Detect the method and appearance images detecting system of battery diaphragm coating surface defect Download PDFInfo
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- CN106841213A CN106841213A CN201611263623.3A CN201611263623A CN106841213A CN 106841213 A CN106841213 A CN 106841213A CN 201611263623 A CN201611263623 A CN 201611263623A CN 106841213 A CN106841213 A CN 106841213A
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- surface defect
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- battery diaphragm
- optical signal
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
Abstract
A kind of method and appearance images detecting system for detecting battery diaphragm coating surface defect of disclosure.The detection battery diaphragm coating surface defect method of the application, including using the online appearance images detecting system of battery diaphragm, battery diaphragm with known surface defect type is detected, the characteristic values such as geometry, the brightness of statistical analysis known surface defect type, it is sample archive that the characteristic value of each surface defect type is collected, it is compared with the detected value of testing sample by by sample archive, judges the surface defect type of testing sample；Surface defect type includes holiday, twines silk and stain foreign matter.The detection method of the application, for cannot program detection holiday, twine the surface defect such as silk and stain foreign matter, specifically provide a Sample Storehouse containing these surface defects characteristic values, it is compared with Sample Storehouse by by testing sample, it is possible to effective to detect corresponding holiday in testing sample, twine the surface defect such as silk and stain foreign matter.
Description
Technical field
The application is related to lithium ion battery separator field, more particularly to a kind of detection battery diaphragm coating surface defect
Method, and detect the appearance images detecting system of battery diaphragm coating surface defect.
Background technology
In recent years, country vigorously supports to New Energy Industry, electrical source of power association area fast development.It is well known that every
Film is indispensable material in electrical source of power.Barrier film must have the hole of certain diameter in structure, with allowing electrolyte
Ion pass through, lithium ion is moved by barrier film between both positive and negative polarity.But lithium ion reduces the crystal to be formed in charge and discharge process
It is possible to pierce through barrier film, thus it is higher to the puncture resistant Capability Requirement of barrier film, and require that membrane surface is not allow for large aperture and lacks
Fall into or macroscopic hole.Polypropylene (abbreviation PP) film, by being stretched uniaxially or biaxially, can be prepared into certain hole
The film in footpath with allow electrolyte by and obstruct little particle；And PP film surfaces coat one layer of protection materials, can improve and wear
Thorn intensity.But the problems such as have cated PP barrier films and easily holiday, stain foreign matter, bright spot occur in coating procedure, influence
The anti-further raising for wearing puncture strength.Therefore, coating PP membrane surface defects are detected using a kind of efficiently detection method
Seem particularly necessary.
At present in lithium battery diaphragm industry, the program calling and controlling defect detecting device generally write using logical language is known
Other membrane surface defect.By writing patrolling containing characteristic values such as width, height, the ratio of width to height, maximum luminance, average luminances
Language is collected, the defect of the regular shapes such as such as trachoma, bright spot, bright line can efficiently be recognized.But, for holiday, twine silk,
For the extremely irregular surface defect of the shapes such as stain foreign matter, it is difficult to by writing assembler language to control defect detecting device
To recognize differentiation.
The content of the invention
The purpose of the application be to provide it is a kind of detect battery diaphragm coating surface defect new method, and detection battery every
The appearance images detecting system of membrane coat surface defect.
To achieve these goals, the application employs following technical scheme：
The one side of the application disclose it is a kind of detect battery diaphragm coating surface defect method, including using battery every
The online appearance images detecting system of film, detects, known to statistical analysis to the battery diaphragm with known surface defect type
The characteristic values such as geometry, the brightness of surface defect type, it is sample archive that the characteristic value of each surface defect type is collected,
It is compared with the detected value of testing sample by by sample archive, judges the surface defect type of testing sample；Surface defect
Type includes holiday, twines silk and stain foreign matter.
It should be noted that in existing online appearance images detecting system, can be by the program of writing, to trachoma, bright
The defect of the regular shapes such as point, pin hole is identified, for example, the width of point, height, the ratio of width to height, a brightness etc. are sentenced
It is disconnected, to determine whether being trachoma, bright spot, bright line.But, for holiday, to twine silk, the such shape of stain foreign matter extremely irregular
Surface defect cannot then be judged simply by width, height, the ratio of width to height, brightness etc., therefore, it is impossible to pass through programming language
Realize that it judges.But, by it is substantial amounts of experiment and research find, for some production line, its occur holiday, twine
The defects such as silk, stain foreign matter can be statistical analysis；That is, the production line fixed for some, due to its each
What the technique of step was all to determine, therefore, the holiday of appearance, twine silk, stain foreign matter and non-fully without rule.Based on the hair
Existing, the application is proposed, to existing appearance, statistical analysis is carried out with holiday, the barrier film for twining silk or stain foreign matter defect, by this
The characteristic values such as a little holidays, shape, the brightness for twining silk or stain foreign matter defect, it is sample archive to collect, by comparing testing sample
Whether there is such or similar characteristic value, judge whether testing sample has corresponding surface defect type.
It is appreciated that used as sample archive, the characteristic value of its statistics is more, more comprehensive, then its for holiday, twine silk or black
The detection of point foreign matter is more accurate.Also, for different production lines, its holiday, the characteristic value for twining silk or stain foreign matter may
Can be different；As long as re-establishing sample archive according to present invention thinking.
Preferably, the hardware device of appearance images detecting system includes LED light source, collects the video camera and defect of optical signal
Detection cabinet；LED light source is arranged at immediately below battery diaphragm, video camera be arranged at it is corresponding with LED light source directly over battery diaphragm,
Defects detection cabinet is connected with camera signal, for receiving, storing and judging the optical signal that video camera is collected into.
Preferably, defect inspection machine case includes real-time detection module, parameter setting module and intelligent classification module；Inspection in real time
Survey module and receive the optical signal that video camera is collected into, and the sample archive in call parameters setup module, the optical signal that will be received
It is compared with sample archive, judges the surface defect type of testing sample；Intelligent classification module extracts real-time detection module
The characteristic values such as optical signal and surface defect type judged result, geometry, brightness to surface defect type carry out statistical
Analysis, is pooled in sample archive, and sample archive is imported into parameter setting module；Parameter setting module is received and stores sample shelves
Case, so that real-time detection module is called, also, parameter setting module receives user instruction and carries out optical signal parameters setting or surface
Defect type is defined.
It should be noted that statistical analysis is carried out in characteristic values such as the geometry to known surface defect type, brightness,
When setting up sample archive, surface defect type be user directly defined in parameter setting module, real-time detection module is by light
Signal and user-defined surface defect type transfers complete surface defect type to intelligent classification module, intelligent classification module
The characteristic values such as geometry, brightness carry out statistical analysis, and accumulate sample archive, storage to parameter setting module.
The another aspect of the application discloses a kind of appearance images detecting system for detecting battery diaphragm coating surface defect,
The hardware device of appearance images detecting system includes LED light source, video camera and defects detection cabinet；LED light source is arranged at battery
Immediately below barrier film, video camera be arranged at it is corresponding with LED light source directly over battery diaphragm, for collecting optical signal；Defect inspection machine
Case includes real-time detection module, parameter setting module and intelligent classification module；Real-time detection module is connected with camera signal, uses
In the optical signal that reception video camera is collected into, and the sample archive in call parameters setup module, the optical signal and sample that will be received
This archives is compared, and judges the surface defect type of testing sample；Intelligent classification module extracts the light letter of real-time detection module
Number and surface defect type judged result, the characteristic value such as geometry, brightness to surface defect type carries out statistical analysis, converges
In collecting sample archive, and sample archive is imported into parameter setting module；Parameter setting module is received and stores sample archive, with
Called for real-time detection module, also, parameter setting module receives user instruction and carries out optical signal parameters setting or surface defect
Type definition.
It should be noted that the appearance images detecting system of the application, compared with existing image detecting system, wherein one
Individual improvement is exactly that increased intelligent classification module, for setting up sample archive, and sample archive is imported into parameter setting module
In；Also, in detection process, holiday, the characteristic value for twining the surface defect such as silk and stain foreign matter can be stored into system, used
Judge in detection next time；Therefore, the appearance images detecting system of the application may be considered what a real-time learning updated
System.
Because the beneficial effect using above technical scheme, the application is：
The method of the battery diaphragm coating surface defects detection of the application, for cannot program detection holiday, twine silk and
The surface defects such as stain foreign matter, specifically provide a Sample Storehouse containing these surface defects characteristic values, by that will treat test sample
Product are compared with Sample Storehouse, it is possible to effective to detect corresponding holiday in testing sample, twine the table such as silk and stain foreign matter
Planar defect.
Brief description of the drawings
Fig. 1 is the FB(flow block) of battery diaphragm detection method of surface flaw in the embodiment of the present application；
Fig. 2 is the partial detection figure of battery diaphragm holiday in the embodiment of the present application；
Fig. 3 is the partial detection figure that battery diaphragm twines silk in the embodiment of the present application；
Fig. 4 is the partial detection figure of battery diaphragm stain foreign matter in the embodiment of the present application.
Specific embodiment
The application is described in further detail below by specific embodiments and the drawings.Following examples are only to the application
It is further described, should not be construed as the limitation to the application.
Embodiment
This example carries out defects detection using the online appearance images detecting system of battery diaphragm.To the membrane surface defect samples of volume 2
Product have carried out statistical analysis, and a defect and 96 stain foreign matter defects are twined including 220 holiday defects, 11.
The hardware device of the appearance images detecting system of this example includes LED light source, collects the video camera and defect of optical signal
Detection cabinet；LED light source is arranged at immediately below battery diaphragm, video camera be arranged at it is corresponding with LED light source directly over battery diaphragm,
Defects detection cabinet is connected with camera signal, for receiving, storing and judging the optical signal that video camera is collected into.This example lack
Detection cabinet is fallen into be made up of real-time detection module, parameter setting module and intelligent classification module；Wherein, real-time detection module is received
Sample archive in the optical signal that video camera is collected into, and call parameters setup module, the optical signal and sample archive that will be received
It is compared, judges the surface defect type of testing sample；Intelligent classification module extracts the optical signal and table of real-time detection module
The characteristic values such as planar defect type judged result, geometry, brightness to surface defect type carry out statistical analysis, are pooled to sample
In this archives, and sample archive is imported into parameter setting module；Parameter setting module is received and stores the sample archive, for
Real-time detection module is called, also, parameter setting module receives user instruction and carries out optical signal parameters setting or surface defect class
Type is defined.
Specific method is as follows：
(1) online appearance images detecting system device is arranged on close near winding paper web, barrier film between LED light source and
Between the video camera of collection optical signal；
(2) range of characteristic values such as holiday to barrier film, geometry value, the brightness for twining the surface defect such as silk and stain foreign matter are carried out
Statistics；
(3) it is sample archive to collect the characteristic value of the coated separator surface defect of statistics, in storage to system, each table
Planar defect corresponds to the range of characteristic values such as respective geometry value, brightness respectively.
When using, it is ensured that real-time detection module has been introduced into the surface defects characteristic value sample archive of this example statistics, will treat
The characteristic value detected in test sample product is compared with the characteristic value of Sample Storehouse, you can judge testing sample whether comprising holiday,
Twine the surface defects such as silk, stain foreign matter.
The appearance images detecting system of this example, compared with existing image detecting system, one of improvement is exactly to permit
Perhaps holiday, the characteristic value for twining the surface defect such as silk and stain foreign matter are stored in system, are judged for detection next time；Cause
This, as shown in figure 1, the system of the application is a system for real-time update, holiday that detecting system will be extracted, twines silk, black
The surface defects characteristics such as point foreign matter carry out statistical classification and accumulate sample archive by intelligent classification module, and import parameter setting mould
Block, parameter setting module receives user instruction and carries out optical signal parameters setting or surface defect type definition, then, real-time detection
The sample archive of module call parameters setup module and user define, for testing sample detection.
Using the method for this example, 2 samples are detected, as a result as shown in table 1.Partial detection figure such as Fig. 2
Shown in Fig. 4, wherein, Fig. 2 is the partial detection figure of holiday, and Fig. 3 is the partial detection figure for twining silk, and Fig. 4 is stain
The partial detection figure of foreign matter.
The battery diaphragm sample surfaces defects detection of table 1
| Holiday | Twine silk | Stain foreign matter | |
| Detection quantity | 214 | 11 | 96 |
| Actual quantity | 220 | 5 | 81 |
| Recall rate | 97.3% | 45.5% | 84.4% |
The detection such as recall rate quantity accounts for the percentage of actual quantity in table 1, as a result shows, the method for this example to holiday, twine
The recall rate of silk reaches more than 80%, and the recall rate to stain foreign matter reaches more than 40%, can effectively detect the side of having
The holiday of the undetectable irregular shape of method, twine silk and stain foreign matter surface defect.Wherein, detection quantity refers to that system detectio goes out
The defect number come；Actual quantity refers to artificial access defect picture, and what geometry, brightness according to defect were sorted out lacks
Fall into quantity.In the system, according to 2199 defect sample collected, intelligent classification module is maximum according to the characteristic parameter for extracting
Defect classification accuracy is 71.8%, and holiday detection accuracy rate is 78.5%, and stain foreign matter detection accuracy rate is 68.1%, twines silk
Detection accuracy rate is 51.9%.General defect classification is accurate during the characteristic parameter that Intelligence Classifier is extracted is directed to defect sample storehouse
Situation during rate highest so that certain class defect detection rate is high and other certain defect detection rate is low.
It should be added that, the application is mainly to holiday, twines silk, three kinds of surfaces of irregular shape of stain foreign matter
Defect has carried out statistical analysis, sets up its surface defects characteristic value Sample Storehouse so that the present processes can to this three
Surface defect is planted to be detected；But, the present processes are simultaneously only limitted to the detection of these three defects, in the present application thinking
Guidance under, the surface defects detection of more irregular shapes can also be added, be not specifically limited herein.
Above content is to combine the further description that specific embodiment is made to the application, it is impossible to assert this Shen
Specific implementation please is confined to these explanations.For the application person of an ordinary skill in the technical field, do not taking off
On the premise of conceiving from the application, some simple deduction or replace can also be made, should all be considered as belonging to the protection of the application
Scope.
Claims (4)
1. it is a kind of detect battery diaphragm coating surface defect method, it is characterised in that：Including using the online outward appearance of battery diaphragm
Image detecting system, detects to the battery diaphragm with known surface defect type, and known surface described in statistical analysis lacks
The characteristic values such as geometry, the brightness of type are fallen into, it is sample archive that the characteristic value of each surface defect type is collected, by inciting somebody to action
The sample archive is compared with the detected value of testing sample, judges the surface defect type of testing sample；The surface lacks
Falling into type includes holiday, twines silk and stain foreign matter.
2. method according to claim 1, it is characterised in that：The hardware device of the appearance images detecting system includes
LED light source, the video camera and defects detection cabinet of collecting optical signal；The LED light source is arranged at immediately below battery diaphragm, described
Video camera is arranged at corresponding with the LED light source directly over battery diaphragm, the defects detection cabinet and the camera signal
Connection, for receiving, storing and judging the optical signal that the video camera is collected into.
3. method according to claim 2, it is characterised in that：The defect inspection machine case includes real-time detection module, ginseng
Number setup module and intelligent classification module；
The real-time detection module receives the optical signal that video camera is collected into, and the sample archive in call parameters setup module,
The optical signal of reception is compared with the sample archive, the surface defect type of testing sample is judged；
The intelligent classification module extracts the optical signal and surface defect type judged result of real-time detection module, to surface defect
The characteristic values such as geometry, the brightness of type carry out statistical analysis, are pooled in sample archive, and sample archive is imported into parameter
Setup module；
The parameter setting module is received and stores the sample archive, so that real-time detection module is called, also, parameter setting
Module receives user instruction and carries out optical signal parameters setting or surface defect type definition.
4. it is a kind of detect battery diaphragm coating surface defect appearance images detecting system, it is characterised in that：The appearance images
The hardware device of detecting system includes LED light source, video camera and defects detection cabinet；
The LED light source is arranged at immediately below battery diaphragm, and the video camera is arranged at directly over battery diaphragm and the LED light
Source correspondence, for collecting optical signal；
The defect inspection machine case includes real-time detection module, parameter setting module and intelligent classification module；
The real-time detection module is connected with the camera signal, for receiving the optical signal that video camera is collected into, and calls
Sample archive in parameter setting module, the optical signal of reception is compared with the sample archive, judges testing sample
Surface defect type；
The intelligent classification module extracts the optical signal and surface defect type judged result of real-time detection module, to surface defect
The characteristic values such as geometry, the brightness of type carry out statistical analysis, are pooled in sample archive, and sample archive is imported into parameter
Setup module；
The parameter setting module is received and stores the sample archive, so that real-time detection module is called, also, parameter setting
Module receives user instruction and carries out optical signal parameters setting or surface defect type definition.
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| CN201611263623.3A CN106841213A (en) | 2016-12-30 | 2016-12-30 | Detect the method and appearance images detecting system of battery diaphragm coating surface defect |
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| CN201611263623.3A CN106841213A (en) | 2016-12-30 | 2016-12-30 | Detect the method and appearance images detecting system of battery diaphragm coating surface defect |
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Cited By (6)
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| CN109360186A (en) * | 2018-08-31 | 2019-02-19 | 广州超音速自动化科技股份有限公司 | Lithium battery diaphragm detection method, electronic equipment, storage medium and system |
| CN111638218A (en) * | 2020-05-14 | 2020-09-08 | 哈尔滨工程大学 | Method for detecting surface defects of coating |
| CN112697962A (en) * | 2020-11-20 | 2021-04-23 | 首钢京唐钢铁联合有限责任公司 | Method and system for automatically detecting defects of color-coated finished product |
| CN113030093A (en) * | 2020-12-30 | 2021-06-25 | 凌云光技术股份有限公司 | Battery diaphragm surface defect detection method and system |
| CN115829907A (en) * | 2022-04-18 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Method, device and system for detecting defects of diaphragm of composite material belt |
| CN115829906A (en) * | 2022-04-18 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Method, device and system for detecting defects of cathode pole piece of composite material belt |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109360186A (en) * | 2018-08-31 | 2019-02-19 | 广州超音速自动化科技股份有限公司 | Lithium battery diaphragm detection method, electronic equipment, storage medium and system |
| CN111638218A (en) * | 2020-05-14 | 2020-09-08 | 哈尔滨工程大学 | Method for detecting surface defects of coating |
| CN112697962A (en) * | 2020-11-20 | 2021-04-23 | 首钢京唐钢铁联合有限责任公司 | Method and system for automatically detecting defects of color-coated finished product |
| CN113030093A (en) * | 2020-12-30 | 2021-06-25 | 凌云光技术股份有限公司 | Battery diaphragm surface defect detection method and system |
| CN113030093B (en) * | 2020-12-30 | 2022-07-22 | 凌云光技术股份有限公司 | Battery diaphragm surface defect detection method and system |
| CN115829907A (en) * | 2022-04-18 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Method, device and system for detecting defects of diaphragm of composite material belt |
| CN115829906A (en) * | 2022-04-18 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Method, device and system for detecting defects of cathode pole piece of composite material belt |
| CN115829906B (en) * | 2022-04-18 | 2024-01-30 | 宁德时代新能源科技股份有限公司 | Method, device and system for detecting defects of cathode pole piece of composite material belt |
| CN115829907B (en) * | 2022-04-18 | 2024-02-23 | 宁德时代新能源科技股份有限公司 | Method, device and system for detecting defects of composite material belt diaphragm |
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Address after: 518120 No. 8 Binhai Road, Dapeng street, Dapeng New District, Shenzhen, Guangdong, China. Applicant after: Shenzhen Zhongxing new material technology Limited by Share Ltd Address before: 518020 Shenzhen, Guangdong Dapeng New District Dapeng street water head community Zhongxing Xinzhou complete equipment Co., Ltd. 3 plant 102 Applicant before: Shenzhen ZTE Innovation Material Technology Co., Ltd. |
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