CN103196383A - Method for automatically detecting center distance of battery tabs - Google Patents
Method for automatically detecting center distance of battery tabs Download PDFInfo
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- CN103196383A CN103196383A CN2013101457471A CN201310145747A CN103196383A CN 103196383 A CN103196383 A CN 103196383A CN 2013101457471 A CN2013101457471 A CN 2013101457471A CN 201310145747 A CN201310145747 A CN 201310145747A CN 103196383 A CN103196383 A CN 103196383A
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Abstract
The invention discloses a method for automatically detecting center distance of battery tabs. The detection system comprises an image processing unit, a motion control unit, a real-time monitoring unit and an upper computer, wherein the image processing unit performs software processing analysis on the acquired image to detect the size of the center distance of the tabs, namely the process comprises the steps: finding reference lines I1 and I2, a bottom reference line I8, and segments I4, I5, I6 and I7 through an image recognition method; fitting a central line I3 through the lines I1 and I2, respectively determining the vertexes R1 and R2 of positive and negative tabs through the intersection of the lines I4 and I5 and the intersection of the lines I6 and I7, and respectively determining base points R3 and R4 of the positive and negative tabs through the intersection of the lines I4 and I8 and the intersection of the lines I6 and I8; and respectively calculating the distances W1-W4 from the points R1-R4 to the central line I3, wherein the value is the center distance of the tabs. According to the method, the size of the center distance of the battery tabs can be rapidly, accurately and automatically detected.
Description
Technical field
Patent of the present invention relates to a kind of product size detection method, relates in particular to a kind of automatic testing method of the battery pole ear centre distance based on machine vision, belongs to the product detection range.
Background technology
Lug is a kind of starting material of producing the lithium ion polymer battery product, and for example the battery of mobile phone of using in the life, bluetooth battery, Notebook Battery etc. all need to use lug.Battery is the branch both positive and negative polarity, and lug is exactly the metal electricity body that from electric core both positive and negative polarity is extracted.In the battery of mobile phone production run, it is very important operation together before the cell package that the positive and negative lug of battery is carried out dimensional measurement, and different specification of battery has different technological requirements to the size of lug.
The battery outward appearance that need to detect as shown in Figure 1, mainly battery being made positive and negative lug is that the size of lug centre distance is examined to the distance of center line.
At present, in the battery production process, size detection at lug, most of enterprise relies on traditional measuring method usually, as utilize instruments such as milscale, vernier caliper or gauge to measure, and needing to rely on a large amount of manually finishing, this not only increases cost of labor and handling cost, and because human eye fatigability and have instability, so can't guarantee the accuracy rate that detects.In addition, along with the lifting of production-scale expansion and production line travelling speed, there is greatly restriction in manual detection in speed, can't reach the requirement of modern industry line speed.
Summary of the invention
Be the accuracy rate that improves the battery pole ear size detection and speed, reduction manual detection cost, patent of the present invention provides a kind of battery pole ear size automatic testing method based on machine vision.
The gordian technique scheme that patent of the present invention adopts is: adopt image software Treatment Analysis method that battery pole ear centre distance is detected (as shown in Figure 4):
(1) finds datum line I1, I2, bottom datum line I8, line segment I4, I5, I6 and I7 by pattern-recognition method.
(2) simulate center line I3 by line I1 and line I2, determine summit R1, the R2 of positive and negative lug respectively by I4 line and I5 line, I6 line and I7 line intersection point, determined basic point R3, the R4 of positive and negative lug by I4 line, I8 line and I6 line, I8 line intersection point respectively.
(3) calculate a R1~R4 respectively to distance W 1~W4 of center line I3, this value is lug centre distance.
Detection system comprises graphics processing unit, motion control unit, real-time monitoring unit and host computer.Graphics processing unit carries out the software Treatment Analysis with the image that collects, and the detection data after will handling are sent to host computer; Host computer also provides man-machine interface except to motion control card sends control command, is used for showing in real time the current detection situation, and record is also preserved and detected data and substandard products image.This interface comprises mainly that index parameter setting, detected state show, real time data shows and four function menus such as alarm logging, realizes purpose to the real time and on line monitoring of total system with this.
Compare with existing method, the usefulness of the inventive method is: utilize machine vision technique to gather the image information of battery pole ear fast, real-time online is stablized precise and high efficiency and is carried out size and detect automatically, native system is also established automatic warning, show testing result in real time, realize that battery pole ear centre distance size detects automatically.
Description of drawings
Accompanying drawing 1 is the battery outside drawing that needs detection.
Accompanying drawing 2 is structure principle charts of a kind of battery pole ear centre distance dimension automatic detection device based on machine vision.
Accompanying drawing 3 is testing process figure of a kind of battery pole ear centre distance dimension automatic detection device based on machine vision.
Accompanying drawing 4 is battery plus-negative plate terminal lug locations drawing.
Numbering 1 is industrial black-white CCD, the 2nd in the accompanying drawing 2, industrial lens, the 3rd, the blue backlight, the 4th of LED, monitor station, the 5th, product to be measured, the 6th, anchor clamps, the 7th, transparent plane glass plate, the 8th, host computer, the 9th, PLC, the 10th, 7250I/O card, the 11st, mechanical arm controller, the 12nd, mechanical arm.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described further.
At first set the technological parameter of current batch of lug at host computer (8), then start detection.
When beginning to detect, product to be measured (5) is by the material loading zone that manually is placed on monitor station (4), PLC (9) control anchor clamps (6) action, fix product to be measured (5), again by the slide rail on PLC (9) the control monitor station (4) with product to be measured (5) move to industrial CCD (1) under, it is the appointed area of organic transparency glass plate (7) top in the middle of the monitor station (4), the back PLC (9) that puts in place sends the unlatching light signal to 7250I/O card (10), after the blue backlight of LED (3) is opened, PLC (9) sends trigger pip by host computer (8) to CCD (1), and CCD (1) finishes capture and handles through embedded software:
The edge fitting method adopts the Find-Line kit of VisionPro, is provided with the black white contrast threshold value after program, and the noise that elimination is noisy arranges double threshold, guarantees accuracy.
The point fit line, the LineBasectPoints function in the Creation kit of use VisionPro realizes that this function ultimate principle is at first to find two end points, simulates the perpendicular bisector of 2 definite line segments thus then.Here, selected two end points are respectively the mid point of Fig. 3 middle conductor L1, L2, and the perpendicular bisector that simulates is the centre line L 3 shown in Fig. 3.
Then the current detection data result is sent to host computer (8).
Host computer (8) will detect data and default parameter value and compare and judge and send corresponding control command and give mechanical arm controller (11): if specification product, then send the OK signal to mechanical arm controller (11), mechanical arm controller (11) control mechanical arm (12) grasps product, and delivers to the specification product put area; If substandard product then sends the NG signal to mechanical arm controller (11), mechanical arm controller (11) control mechanical arm (12) grasps substandard products, and it is delivered to the substandard products zone.
More than being preferred embodiment of the present invention and oneself, is not that the present invention is done any pro forma restriction, and any simple modification, equivalent variations and modification that every foundation technical spirit of the present invention is done above embodiment all belong in the scope of invention technical scheme.
Claims (3)
1. the automatic testing method of a battery pole ear centre distance is characterized in that, finds datum line I1, I2, bottom datum line I8, line segment I4, I5, I6 and I7 by pattern-recognition method.
2. according to the automatic testing method of the described a kind of battery pole ear centre distance of claim 1, it is characterized in that, simulate center line I3 by line I1 and line I2, determine summit R1, the R2 of positive and negative lug respectively by I4 line and I5 line, I6 line and I7 line intersection point, determined basic point R3, the R4 of positive and negative lug by I4 line, I8 line and I6 line, I8 line intersection point respectively.
3. according to the automatic testing method of the described a kind of battery pole ear centre distance of claim 1, it is characterized in that calculate a R1~R4 respectively to distance W 1~W4 of center line I3, this value is lug centre distance.
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Cited By (6)
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CN107097009A (en) * | 2017-03-20 | 2017-08-29 | 多氟多(焦作)新能源科技有限公司 | Lithium battery production line and the conductive handle position finding and detection method of lug, welder |
CN107941805A (en) * | 2017-12-01 | 2018-04-20 | 无锡先导智能装备股份有限公司 | Battery core quality determining method |
CN109269420A (en) * | 2018-08-31 | 2019-01-25 | 广州超音速自动化科技股份有限公司 | Naked battery core apparent size and pole piece deviation correction detection method, equipment, medium and system |
CN110779446A (en) * | 2019-11-08 | 2020-02-11 | 广东利元亨智能装备股份有限公司 | Battery detection method and device, electronic equipment and battery detection system |
CN112577421A (en) * | 2019-12-11 | 2021-03-30 | 广东利元亨智能装备股份有限公司 | Battery cell detection method, device and equipment |
WO2024021016A1 (en) * | 2022-07-29 | 2024-02-01 | 宁德时代新能源科技股份有限公司 | Measurement method and measurement apparatus |
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CN107097009A (en) * | 2017-03-20 | 2017-08-29 | 多氟多(焦作)新能源科技有限公司 | Lithium battery production line and the conductive handle position finding and detection method of lug, welder |
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CN109269420A (en) * | 2018-08-31 | 2019-01-25 | 广州超音速自动化科技股份有限公司 | Naked battery core apparent size and pole piece deviation correction detection method, equipment, medium and system |
CN110779446A (en) * | 2019-11-08 | 2020-02-11 | 广东利元亨智能装备股份有限公司 | Battery detection method and device, electronic equipment and battery detection system |
CN112577421A (en) * | 2019-12-11 | 2021-03-30 | 广东利元亨智能装备股份有限公司 | Battery cell detection method, device and equipment |
WO2024021016A1 (en) * | 2022-07-29 | 2024-02-01 | 宁德时代新能源科技股份有限公司 | Measurement method and measurement apparatus |
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Effective date of registration: 20190702 Address after: 214128 Room 201, Building C, 3 Yuanxi Road, Binhu District, Wuxi City, Jiangsu Province Patentee after: Wuxi IMV Industrial Control Equipment Co., Ltd. Address before: 214122 Jiangnan University, 1800 Lihu Avenue, Wuxi City, Jiangsu Province Patentee before: Jiangnan University |
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