CN103196383A - Method for automatically detecting center distance of battery tabs - Google Patents

Method for automatically detecting center distance of battery tabs Download PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
line
lines
tabs
center distance
battery
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.)
Granted
Application number
CN2013101457471A
Other languages
Chinese (zh)
Other versions
CN103196383B (en
Inventor
潘丰
余俊荣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuxi IMV Industrial Control Equipment Co., Ltd.
Original Assignee
Jiangnan University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jiangnan University filed Critical Jiangnan University
Priority to CN201310145747.1A priority Critical patent/CN103196383B/en
Publication of CN103196383A publication Critical patent/CN103196383A/en
Application granted granted Critical
Publication of CN103196383B publication Critical patent/CN103196383B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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

A kind of automatic testing method of battery pole ear centre distance
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.
CN201310145747.1A 2013-04-23 2013-04-23 A kind of automatic testing method of battery pole ear centre distance Active CN103196383B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310145747.1A CN103196383B (en) 2013-04-23 2013-04-23 A kind of automatic testing method of battery pole ear centre distance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310145747.1A CN103196383B (en) 2013-04-23 2013-04-23 A kind of automatic testing method of battery pole ear centre distance

Publications (2)

Publication Number Publication Date
CN103196383A true CN103196383A (en) 2013-07-10
CN103196383B CN103196383B (en) 2015-11-25

Family

ID=48719088

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310145747.1A Active CN103196383B (en) 2013-04-23 2013-04-23 A kind of automatic testing method of battery pole ear centre distance

Country Status (1)

Country Link
CN (1) CN103196383B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002156211A (en) * 2000-11-21 2002-05-31 Sony Corp Product inspection method by image processing
CN101832753A (en) * 2009-03-11 2010-09-15 深圳市吉阳自动化科技有限公司 On-line detection system and method of lithium ion battery pole piece CCD
CN201837369U (en) * 2010-10-26 2011-05-18 深圳市吉阳自动化科技有限公司 Lithium battery pole piece detection equipment and lithium battery production line
CN102288108A (en) * 2010-05-07 2011-12-21 横河电机株式会社 Position measuring system
WO2012137920A1 (en) * 2011-04-07 2012-10-11 日産自動車株式会社 Electrode position detection device and electrode position detection method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002156211A (en) * 2000-11-21 2002-05-31 Sony Corp Product inspection method by image processing
CN101832753A (en) * 2009-03-11 2010-09-15 深圳市吉阳自动化科技有限公司 On-line detection system and method of lithium ion battery pole piece CCD
CN102288108A (en) * 2010-05-07 2011-12-21 横河电机株式会社 Position measuring system
CN201837369U (en) * 2010-10-26 2011-05-18 深圳市吉阳自动化科技有限公司 Lithium battery pole piece detection equipment and lithium battery production line
WO2012137920A1 (en) * 2011-04-07 2012-10-11 日産自動車株式会社 Electrode position detection device and electrode position detection method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
万学春 等: "锂电池全自动极耳折弯封盖机系统开发", 《机械工程师》, no. 1, 31 December 2009 (2009-12-31), pages 149 - 150 *
李林贺 等: "锂电池极耳超声波焊接质量分析", 《焊接技术》, vol. 41, no. 6, 30 June 2012 (2012-06-30), pages 46 - 49 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN107097009B (en) * 2017-03-20 2019-03-29 多氟多新能源科技有限公司 Lithium battery production line and tab conduction handle position finding and detection method, 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
US11948323B2 (en) 2022-07-29 2024-04-02 Contemporary Amperex Technology Co., Limited Measurement method and measurement apparatus

Also Published As

Publication number Publication date
CN103196383B (en) 2015-11-25

Similar Documents

Publication Publication Date Title
CN103196383B (en) A kind of automatic testing method of battery pole ear centre distance
CN103196373B (en) A kind of automatic testing method of battery plus-negative plate terminal lug length
CN206292271U (en) A kind of module battery core device for detecting positive and negative electrodes
CN103196375B (en) A kind of automatic testing method of battery plus-negative plate ear glue height
CN108380509A (en) LED lamp panel sorting based on machine vision and detecting system
CN204357868U (en) A kind of derrick detection foil gauge site frock
CN204406386U (en) Gravity sensing function automatic test platform and system
CN103196358A (en) Plastic thickness measuring device based on plane capacitive sensor and method thereof
CN104457821A (en) Test device and test method of proximity detector
CN108844961A (en) A kind of temperature controller case vision detection system and method
CN103575182A (en) Section location degree detecting device and section location degree detecting method
CN203116696U (en) Automatic detection device of length of positive pole lug terminal and length of negative pole lug terminal of battery
CN202752250U (en) Detective and sorting device based on multiple charge coupled devices (CCDs) and 2 dimensional (2D) laser sensor and machine hand
CN102661706A (en) Machine vision-based automatic detection method for position of hard disk magnet
CN203249889U (en) Detection device for corrosion of metal pipeline
CN201628545U (en) Measuring device for space plane flatness
CN112906602B (en) Automatic identification device and identification method for electric quantity meter of power distribution cabinet based on image processing
CN205301075U (en) Survey impact specimen fracture fibre section rate system
CN206146375U (en) System for online dimension parameter of large -scale side's rectangular pipe of many specifications detects usefulness
CN203232104U (en) Portable motor noise analyzer
CN205643248U (en) Continuous measuring apparatu in portable online hall magnetic field
CN203705319U (en) Textile and decorative fabric crease-resistant performance tester
CN203893844U (en) Automatic measurement tool for level of OHT (overhead transfer) track
CN208207793U (en) Usb interface test fixture
CN110174694A (en) A kind of acquisition of advance geologic prediction data and analysis method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

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

TR01 Transfer of patent right