CN104655644A - Method and device for automatically detecting defects of lithium battery pole piece - Google Patents
Method and device for automatically detecting defects of lithium battery pole piece Download PDFInfo
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- CN104655644A CN104655644A CN201510082341.2A CN201510082341A CN104655644A CN 104655644 A CN104655644 A CN 104655644A CN 201510082341 A CN201510082341 A CN 201510082341A CN 104655644 A CN104655644 A CN 104655644A
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Abstract
The invention discloses a method and a device for automatically detecting the defects of a lithium battery pole piece. The method comprises the steps of (1) collecting lithium battery pole piece samples with various defects in an off-line way, and acquiring the corresponding defect characteristics to obtain defect characteristic database; (2) setting the acquisition parameter of a linear charge coupled device (CCD) image sensor; (3) acquiring the image of the lithium battery pole piece to be tested by using the linear CCD image sensor; (4) carrying detect detection on the image acquired by the linear CCD image sensor by a personal computer (PC); (5) repeating the step (3) and the step (4) until the detection for the whole lithium battery pole piece is finished. The method and the device are capable of automatically detecting and recording the defect area of the lithium battery pole piece, and have the advantages of being intelligent, high in efficiency and high in accuracy.
Description
Technical field
The present invention relates to optical camera image deflects detection technique method, particularly a kind of automatic testing method of lithium battery pole slice defect and device.
Background technology
The slurry of preparation normally just containing active substance of ion battery pole piece applies and/or fills on the current collector, dry, calendering, wherein calendering technology comprises and being passed through from the gap between two running rollers of calender by pole piece, on pole piece, pressure is applied by running roller, regulate the running roller gap of calender two running rollers, obtain the pole piece of desired thickness exactly.But in coating calendering technology process, projection usually appears that coating lacks block, in pole piece, dew paper tinsel, cut, crackle, the defects such as particle.Current detection method mainly relies on human eye detection, instead of forms an automatic detection in the technological process of coating.In addition, pole piece needs to carry out dual coating, and offline inspection relates to and again reeling to battery pole piece band, and artificial and equipment cost all will increase.
Summary of the invention
In order to the above-mentioned shortcoming overcoming prior art is with not enough, the object of the present invention is to provide a kind of automatic testing method of lithium battery pole slice defect, detect accurate quick, enhance productivity and cost-saving.
Another object of the present invention is to provide the device of the automatic testing method realizing above-mentioned lithium battery pole slice defect.
Object of the present invention is achieved through the following technical solutions:
An automatic testing method for lithium battery pole slice defect, comprises the following steps:
(1) the various defect sample of collected offline lithium battery pole slice, obtain corresponding defect characteristic, obtain defect characteristic storehouse;
(2) acquisition parameter of Linear Array CCD Image Sensor is set;
(3) Linear Array CCD Image Sensor starts the image gathering lithium battery pole slice to be measured;
(4) PC carries out defects detection to the image that Linear Array CCD Image Sensor collects:
(4-1) Threshold segmentation is carried out to the image that Linear Array CCD Image Sensor collects;
(4-2) lack block, protrusion defect detects: Morphological scale-space is carried out to the image that Threshold segmentation in (4-1) obtains, the image carried out after Morphological scale-space and the image before process are done difference processing, screen in the difference image obtained, filter out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-3) reveal paper tinsel, scratch defects detects: medium filtering is carried out to the image that Threshold segmentation in (4-1) obtains, dynamic threshold is done to the image after filtering, then Morphological scale-space is carried out to the image that threshold value obtains, and do difference processing with the image before process, screen in the difference image obtained, filter out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-4) crackle, grain defect detect: will Threshold segmentation obtains in (4-1) image copy by gray-scale value assignment lithium battery pole slice correctly applying section, again the image after assignment and the image before assignment are carried out difference processing, the difference image obtained is carried out Morphological scale-space, and section after the treatment filters out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-5) the defect section that (4-2), (4-3) and (4-4) obtain is carried out merging treatment, using the section of gained after merging treatment as final defect section;
(5) step (3) to (4) is repeated until detect end to whole lithium battery pole slice.
The described lithium battery pole slice to be measured of step (3) is placed on conveyer, is provided with flaw labeling device above conveyer;
Also following steps are carried out after carrying out step (4-5):
(4-6) transfer rate of conveyer is constant, Linear Array CCD Image Sensor is fixed to the distance of flaw labeling device, and the position calculated on the lithium battery pole slice to be measured corresponding to image of the current collection of Linear Array CCD Image Sensor arrives the time needed for flaw labeling device;
If (4-6) defect detected, the defect section obtained in calculation procedure (4-5) relative to whole two field picture starting point and final position, record this collection and start to current duration, according to above result, in conjunction with current collection image corresponding to lithium battery pole slice to be measured on position arrive time needed for flaw labeling device, calculate the time that the starting point of defect section and terminal arrive flaw labeling device;
(4-7) according to the result of (4-6) gained, flaw labeling device, after the delay corresponding time, marks respectively to the reference position of the defect section of lithium battery pole slice to be measured.
Realize the automatic detection device of the lithium battery pole slice defect of said method, comprise
Linear Array CCD Image Sensor, for carrying out image acquisition to lithium battery pole slice to be measured;
PC, stores defect characteristic storehouse; For processing the image of lithium battery pole slice to be measured, filtering out the section of the defect characteristic met in defect characteristic storehouse, drawing testing result.
Described linear array CCD image is two, is respectively used to carry out image acquisition to the upper and lower surface of lithium battery pole slice to be measured.
The automatic detection device of described lithium battery pole slice defect, also comprises conveyer and flaw labeling device; Described conveyer is used for transmitting lithium battery pole slice to be measured; Described flaw labeling device is used for marking according to the reference position of testing result to lithium battery pole slice defect section to be measured of PC.
Compared with prior art, the present invention has the following advantages and beneficial effect;
1, the recognition accuracy of method of the present invention to lithium battery pole slice defect is high, can detect the scarce block that pole piece is common, projection, dew paper tinsel, cut, crackle, the defects such as particle.
2, method defects detection speed of the present invention is fast, for dissimilar defect, design special detection algorithm respectively and detect, make algorithm model simple, detection speed is accelerated, and algorithm can be applied at the transmitting device that has certain requirements for speed.
3, method of the present invention is because testing process is without the need to artificial participation, and the automaticity of lithium battery pole slice production testing is high, and production efficiency is high, and structure is simple, and cost is low.
Accompanying drawing explanation
Fig. 1 is the composition schematic diagram of the automatic detection device of the lithium battery pole slice defect of embodiments of the invention.
Fig. 2 is the composition schematic diagram of the pole piece defect detecting system of embodiments of the invention.
Fig. 3 is the process flow diagram of the automatic testing method of the lithium battery pole slice defect of embodiments of the invention.
Fig. 4 is the particular flow sheet of the defect detection procedure of embodiments of the invention.
Embodiment
Below in conjunction with embodiment, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
Embodiment
As shown in Figure 1, the automatic detection device of the lithium battery pole slice defect of the present embodiment comprises PC 1, Linear Array CCD Image Sensor 2, linear LED light source 3, conveyer 4, battery pole piece 5 and flaw labeling device 6.Described PC 1 is laid respectively at the double-edged Linear Array CCD Image Sensor 2 of battery pole piece be connected by connecting line with two, and described linear LED light source 3 is fixed with the relative position of Linear Array CCD Image Sensor 2.Described conveyer 4 is for transmitting battery pole piece 5, and described flaw labeling device 6 is for marking the defective pole piece section of any one side.
Pole piece defect detecting system is provided with, for carrying out with Linear Array CCD Image Sensor, flaw labeling device the application program that communicates in PC.
As shown in Figure 2, pole piece defect detecting system comprises scarce block, protrusion detection unit, dew paper tinsel, scratch detection unit, crackle, particle detection unit and merging treatment unit.In the process of pole piece defects detection, first with scarce block, protrusion detection unit, pole piece defect is detected, then detect by dew paper tinsel, the defect of scratch detection unit to pole piece, then detect by crackle, the defect of particle detection unit to pole piece, last merging treatment unit to above three unit detect the defect section obtained and carry out merging treatment.
As shown in Figure 3, the automatic testing method of the lithium battery pole slice defect of the present embodiment, comprises the following steps:
(1) the various defect sample of collected offline lithium battery pole slice, obtain corresponding defect characteristic, obtain defect characteristic storehouse;
(2) acquisition parameter of Linear Array CCD Image Sensor is set;
(3) Linear Array CCD Image Sensor starts the image gathering lithium battery pole slice to be measured;
(4) PC carries out defects detection to the image that Linear Array CCD Image Sensor collects, as shown in Figure 4:
(4-1) Threshold segmentation is carried out to the image that Linear Array CCD Image Sensor collects;
(4-2) Morphological scale-space is carried out to the image that Threshold segmentation in (4-1) obtains, the image carried out after Morphological scale-space and the image before process are done difference processing, screen in the difference image obtained, filter out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-3) medium filtering is carried out to the image that Threshold segmentation in (4-1) obtains, dynamic threshold is done to the image after filtering, then Morphological scale-space is carried out to the image that threshold value obtains, and do difference processing with the image before process, screen in the difference image obtained, filter out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-4) image copy Threshold segmentation in (4-1) obtained by the gray-scale value assignment of coating section correct on lithium battery pole slice, again the image after assignment and the image before assignment are carried out difference processing, the difference image obtained is carried out Morphological scale-space, and section after the treatment filters out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-5) the defect section that (4-2), (4-3) and (4-4) obtain is carried out merging treatment, using the section of gained after merging treatment as final defect section;
(4-6) transfer rate of conveyer is constant, Linear Array CCD Image Sensor is fixed to the distance of flaw labeling device, and the position calculated on the lithium battery pole slice to be measured corresponding to image of the current collection of Linear Array CCD Image Sensor arrives the time needed for flaw labeling device;
If (4-6) defect detected, the defect section obtained in calculation procedure (4-5) relative to whole two field picture starting point and final position, record this collection and start to current duration, according to above result, in conjunction with current collection image corresponding to lithium battery pole slice to be measured on position arrive time needed for flaw labeling device, calculate the time that the starting point of defect section and terminal arrive flaw labeling device;
(4-7) according to the result of (4-6) gained, flaw labeling device, after the delay corresponding time, marks respectively to the reference position of the defect section of lithium battery pole slice to be measured;
(5) step (3) to (4) is repeated until detect end to whole lithium battery pole slice.
Above-described embodiment is the present invention's preferably embodiment; but embodiments of the present invention are not limited by the examples; change, the modification done under other any does not deviate from Spirit Essence of the present invention and principle, substitute, combine, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (5)
1. an automatic testing method for lithium battery pole slice defect, is characterized in that, comprises the following steps:
(1) the various defect sample of collected offline lithium battery pole slice, obtain corresponding defect characteristic, obtain defect characteristic storehouse;
(2) acquisition parameter of Linear Array CCD Image Sensor is set;
(3) Linear Array CCD Image Sensor starts the image gathering lithium battery pole slice to be measured;
(4) PC carries out defects detection to the image that Linear Array CCD Image Sensor collects:
(4-1) Threshold segmentation is carried out to the image that Linear Array CCD Image Sensor collects;
(4-2) lack block, protrusion defect detects: Morphological scale-space is carried out to the image that Threshold segmentation in (4-1) obtains, the image carried out after Morphological scale-space and the image before process are done difference processing, screen in the difference image obtained, filter out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-3) reveal paper tinsel, scratch defects detects: medium filtering is carried out to the image that Threshold segmentation in (4-1) obtains, dynamic threshold is done to the image after filtering, then Morphological scale-space is carried out to the image that threshold value obtains, and do difference processing with the image before process, screen in the difference image obtained, filter out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-4) crackle, grain defect detect: will Threshold segmentation obtains in (4-1) image copy by gray-scale value assignment lithium battery pole slice correctly applying section, again the image after assignment and the image before assignment are carried out difference processing, the difference image obtained is carried out Morphological scale-space, and section after the treatment filters out the section of the defect characteristic met in defect characteristic storehouse as defect section;
(4-5) the defect section that (4-2), (4-3) and (4-4) obtain is carried out merging treatment, using the section of gained after merging treatment as final defect section;
(5) step (3) to (4) is repeated until detect end to whole lithium battery pole slice.
2. the automatic testing method of lithium battery pole slice defect according to claim 1, is characterized in that, the described lithium battery pole slice to be measured of step (3) is placed on conveyer, is provided with flaw labeling device above conveyer;
Also following steps are carried out after carrying out step (4-5):
(4-6) transfer rate of conveyer is constant, Linear Array CCD Image Sensor is fixed to the distance of flaw labeling device, and the position calculated on the lithium battery pole slice to be measured corresponding to image of the current collection of Linear Array CCD Image Sensor arrives the time needed for flaw labeling device;
If (4-6) defect detected, the defect section obtained in calculation procedure (4-5) relative to whole two field picture starting point and final position, record this collection and start to current duration, according to above result, in conjunction with current collection image corresponding to lithium battery pole slice to be measured on position arrive time needed for flaw labeling device, calculate the time that the starting point of defect section and terminal arrive flaw labeling device;
(4-7) according to the result of (4-6) gained, flaw labeling device, after the delay corresponding time, marks respectively to the reference position of the defect section of lithium battery pole slice to be measured.
3. realize the automatic detection device of the lithium battery pole slice defect of the automatic testing method of lithium battery pole slice defect described in claim 1, it is characterized in that, comprise
Linear Array CCD Image Sensor, for carrying out image acquisition to lithium battery pole slice to be measured;
PC, stores defect characteristic storehouse; For processing the image of lithium battery pole slice to be measured, filtering out the section of the defect characteristic met in defect characteristic storehouse, drawing testing result.
4. the automatic detection device of lithium battery pole slice defect according to claim 3, is characterized in that, described linear array CCD image is two, is respectively used to carry out image acquisition to the upper and lower surface of lithium battery pole slice to be measured.
5. the automatic detection device of lithium battery pole slice defect according to claim 4, is characterized in that, also comprises conveyer and flaw labeling device; Described conveyer is used for transmitting lithium battery pole slice to be measured; Described flaw labeling device is used for marking according to the reference position of testing result to lithium battery pole slice defect section to be measured of PC.
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Cited By (18)
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| CN104916814A (en) * | 2015-06-26 | 2015-09-16 | 宁德时代新能源科技有限公司 | Processing system and method for lithium powder of lithium ion battery pole piece |
| CN108732507A (en) * | 2018-05-21 | 2018-11-02 | 中国科学技术大学 | A kind of lithium battery defect detecting device based on battery temperature field and visible images |
| CN108956626A (en) * | 2018-07-23 | 2018-12-07 | 广州超音速自动化科技股份有限公司 | Tab welding point defect detection device and its detection method |
| CN109324060A (en) * | 2018-10-11 | 2019-02-12 | 广东德尔智慧工厂科技有限公司 | A kind of lithium electropaining cloth surface defects detection system |
| CN109358070A (en) * | 2018-08-31 | 2019-02-19 | 广州超音速自动化科技股份有限公司 | Pole piece detection method, electronic equipment, storage medium and system |
| CN109580652A (en) * | 2018-10-30 | 2019-04-05 | 广州超音速自动化科技股份有限公司 | A kind of quality of battery pole piece detection method, electronic equipment and storage medium |
| CN109598721A (en) * | 2018-12-10 | 2019-04-09 | 广州市易鸿智能装备有限公司 | Defect inspection method, device, detection device and the storage medium of battery pole piece |
| CN109709102A (en) * | 2019-01-17 | 2019-05-03 | 广州超音速自动化科技股份有限公司 | Die-cutting machine lithium battery pole slice physical imperfection detection system, method and device |
| CN109741323A (en) * | 2019-01-09 | 2019-05-10 | 广州市顶丰自动化设备有限公司 | Pole piece detection method, device, computer equipment and the storage medium of lithium battery |
| CN109870459A (en) * | 2019-02-21 | 2019-06-11 | 武汉武大卓越科技有限责任公司 | The track plates crack detection method of non-fragment orbit |
| CN109886918A (en) * | 2019-01-14 | 2019-06-14 | 广州量子激光智能装备有限公司 | Wire drawing burr detection method, electronic equipment and the storage medium of lithium battery pole slice |
| CN110288584A (en) * | 2019-06-27 | 2019-09-27 | 常州固高智能装备技术研究院有限公司 | Ceramic hot-dip aluminizing detection method of surface flaw and device based on machine vision |
| CN110554053A (en) * | 2019-08-12 | 2019-12-10 | 广州超音速自动化科技股份有限公司 | Battery coating defect detection equipment |
| CN112213315A (en) * | 2019-06-25 | 2021-01-12 | 欧姆龙株式会社 | Appearance inspection management system, device, method and storage medium |
| CN112455098A (en) * | 2019-09-09 | 2021-03-09 | 无锡先导智能装备股份有限公司 | Pole piece marking method and pole piece marking system |
| CN112669295A (en) * | 2020-12-30 | 2021-04-16 | 上海电机学院 | Lithium battery pole piece defect detection method based on secondary threshold segmentation theory |
| CN113739751A (en) * | 2021-08-26 | 2021-12-03 | 东莞市创明电池技术有限公司 | Battery pole piece winding production quality detection method |
| CN115993104A (en) * | 2023-03-23 | 2023-04-21 | 杭州百子尖科技股份有限公司 | Method for positioning thickness measuring defect code spraying of new energy battery pole piece production line |
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| CN104916814A (en) * | 2015-06-26 | 2015-09-16 | 宁德时代新能源科技有限公司 | Processing system and method for lithium powder of lithium ion battery pole piece |
| CN108732507A (en) * | 2018-05-21 | 2018-11-02 | 中国科学技术大学 | A kind of lithium battery defect detecting device based on battery temperature field and visible images |
| CN108956626A (en) * | 2018-07-23 | 2018-12-07 | 广州超音速自动化科技股份有限公司 | Tab welding point defect detection device and its detection method |
| CN109358070A (en) * | 2018-08-31 | 2019-02-19 | 广州超音速自动化科技股份有限公司 | Pole piece detection method, electronic equipment, storage medium and system |
| CN109324060A (en) * | 2018-10-11 | 2019-02-12 | 广东德尔智慧工厂科技有限公司 | A kind of lithium electropaining cloth surface defects detection system |
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| CN109598721A (en) * | 2018-12-10 | 2019-04-09 | 广州市易鸿智能装备有限公司 | Defect inspection method, device, detection device and the storage medium of battery pole piece |
| CN109598721B (en) * | 2018-12-10 | 2021-08-31 | 广州市易鸿智能装备有限公司 | Defect detection method and device for battery pole piece, detection equipment and storage medium |
| CN109741323A (en) * | 2019-01-09 | 2019-05-10 | 广州市顶丰自动化设备有限公司 | Pole piece detection method, device, computer equipment and the storage medium of lithium battery |
| CN109886918A (en) * | 2019-01-14 | 2019-06-14 | 广州量子激光智能装备有限公司 | Wire drawing burr detection method, electronic equipment and the storage medium of lithium battery pole slice |
| CN109709102A (en) * | 2019-01-17 | 2019-05-03 | 广州超音速自动化科技股份有限公司 | Die-cutting machine lithium battery pole slice physical imperfection detection system, method and device |
| CN109870459A (en) * | 2019-02-21 | 2019-06-11 | 武汉武大卓越科技有限责任公司 | The track plates crack detection method of non-fragment orbit |
| CN109870459B (en) * | 2019-02-21 | 2021-07-06 | 武汉光谷卓越科技股份有限公司 | Track slab crack detection method for ballastless track |
| CN112213315A (en) * | 2019-06-25 | 2021-01-12 | 欧姆龙株式会社 | Appearance inspection management system, device, method and storage medium |
| CN110288584A (en) * | 2019-06-27 | 2019-09-27 | 常州固高智能装备技术研究院有限公司 | Ceramic hot-dip aluminizing detection method of surface flaw and device based on machine vision |
| CN110288584B (en) * | 2019-06-27 | 2023-06-23 | 常州固高智能装备技术研究院有限公司 | Ceramic hot dip aluminizing surface defect detection method and device based on machine vision |
| CN110554053A (en) * | 2019-08-12 | 2019-12-10 | 广州超音速自动化科技股份有限公司 | Battery coating defect detection equipment |
| CN112455098A (en) * | 2019-09-09 | 2021-03-09 | 无锡先导智能装备股份有限公司 | Pole piece marking method and pole piece marking system |
| CN112669295A (en) * | 2020-12-30 | 2021-04-16 | 上海电机学院 | Lithium battery pole piece defect detection method based on secondary threshold segmentation theory |
| CN113739751A (en) * | 2021-08-26 | 2021-12-03 | 东莞市创明电池技术有限公司 | Battery pole piece winding production quality detection method |
| CN115993104A (en) * | 2023-03-23 | 2023-04-21 | 杭州百子尖科技股份有限公司 | Method for positioning thickness measuring defect code spraying of new energy battery pole piece production line |
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Application publication date: 20150527 |