CN203422319U - Nondestructive testing system for lithium battery - Google Patents
Nondestructive testing system for lithium battery Download PDFInfo
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- CN203422319U CN203422319U CN201320144924.XU CN201320144924U CN203422319U CN 203422319 U CN203422319 U CN 203422319U CN 201320144924 U CN201320144924 U CN 201320144924U CN 203422319 U CN203422319 U CN 203422319U
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Abstract
The utility model discloses a nondestructive testing system for a lithium battery. The nondestructive testing system can be used for testing swelling of the battery and can intelligently and rapidly recognize the swelling of the battery. The nondestructive testing system is provided with a material conveying belt, a motor, an elastic piece, an infrared positioning device, a high-definition camera, an LED illumination plate, an MCU (microprogrammed control unit) embedded plate and a computer, wherein the high-definition camera is connected with the computer through the MCU embedded plate; and the infrared positioning device is assembled below the LED illumination plate and on the edge of the material conveying belt.
Description
Technical field
The utility model belongs to the defects detection field based on machine vision, concretely, relates to a kind of lithium battery nondestructive detection system of identifying battery inflatable.
Background technology
Surface imperfection is external defect, and it shows as the place that has " difference " with normal product surface form.This " difference " often human eye is visible, and therefore, the traditional detection method of surface defects of products is artificial detection method.It is more that manual detection is affected by the subjective factors such as people's mood, thinking, makes testing result have great unreliability, and the testing result of this nonstandard parasexuality is unfavorable for the control of product quality, brings a lot of labile factors.And hand labor intensity is large, and testing cost is high; Testing result and defect form are unfavorable for record and preserve, be unfavorable for information system management.Just because of manual detection exists above-mentioned deficiency, therefore need a kind of more advanced method to carry out surface defects detection.In recent years, along with the high speed development of electronic technology, computer technology, the software and hardware technology of machine vision obtains develop rapidly, for the online detection of surface defects of products provides a kind of preferred plan.With " machine ", replace human eye, carry out surface defects detection, overcome the efficiency and the not high problem of precision that manually at product, detect, greatly enhance productivity and automaticity.
Lithium battery is high with its specific discharge capacity, good cycle, and the life-span is long, high temperature performance is good, and operating voltage is high, and security is good, without memory, advantages of environment protection, becomes rapidly the main driving power of the electronic products such as mobile phone, computer, digital camera, video camera, PDA.The production of lithium battery at present begins to take shape, and increasing throughput requirements is had higher requirement to the robotization of production line for manufacturing battery.And in Production Process of Lithium Battery, due to bad, the battery internal water content overproof of encapsulation, change into flow process extremely, the reason such as the SEI film that changes into is first unstable, there is chemical reaction and produce gas in battery inside, there is ballooning in power brick, cause battery performance to occur of serious failure, this part battery must be picked out again and process before dispatching from the factory.The method that current most lithium battery manufacturer adopts artificial hand to touch and observe to the sorting of inflatable lithium battery, judges by observing the configuration of surface of lithium battery and pinching piezoelectric battery whether inside exists gas.This method depends on sensation and the micro-judgment of operating worker, and efficiency is low and detect effect and depend on human factor.Thereby the detection method of being badly in need of a kind of intelligent and high-efficiency is enhanced productivity.
Utility model content
For overcoming the low and shortcoming such as be subject to that subjective factor affects of the efficiency of above-mentioned manual detection lithium battery inflatable, the utility model proposes a kind of lithium battery nondestructive detection system, this detection system can be identified inflatable battery automatically, and selected and fall out, there is contactless, full-automatic, accuracy of detection high.
The technical solution of the utility model is as follows:
A kind of lithium battery nondestructive detection system, be provided with material conveyor belt, motor, shell fragment, infrared positioning apparatus, high-definition camera, LED illuminatian plate, MCU embedded board and computer, high-definition camera is connected with computer by MCU embedded board, infrared positioning apparatus is located at LED illuminatian plate below, material conveyor belt edge.
Described material conveyor belt is the crawler belt of black background, to alleviate ground unrest in image processing process, disturbs the impact on recognition speed.
Described LED illuminatian plate is cross, the horizontal LED lamp of row and the sub-lamp of a row vertical LED, consists of, and is controlled the light on and off of its horizontal row and the sub-lamp of vertical row by MCU embedded board.
Due to the utilization of technique scheme, the utlity model has following beneficial effect:
1. the utility model adopts machine vision technique, by obtaining the luminance picture of lithium battery monomer under LED illuminatian plate irradiates, through MCU embedded board, be uploaded to computer and carry out Extraction of Geometrical Features, by the support vector machine based on RBF, carry out discriminator, when inflatable battery being detected, computer give the alarm signal controlling shell fragment by inflatable battery bullet from material conveyor belt, reach the object of sorting.
2. the utility model adopts machine vision technique, full automation is controlled, and simple to operate, accuracy of detection is high, for lithium battery inflatable in production run detects, provide a kind of intelligence effective detection method, can be widely used in as inflatable pick-up unit, using on lithium battery production line.
Accompanying drawing explanation
Fig. 1 is the lithium battery inflatable detection architecture schematic diagram based on machine vision;
Fig. 2 is the lithium battery inflatable detection architecture upward view based on machine vision;
Fig. 3 is the utility model inflatable overhaul flow chart.
Embodiment
Below in conjunction with drawings and Examples, the utility model is further described:
As shown in Figure 1,1 is material conveyor belt, and 2 is motor, and 3 is shell fragment, and 4 is infrared positioning apparatus, and 5 is battery cell, and 6 is high definition high-definition camera (with further reference to Fig. 2), and 7 is LED illuminatian plate (with further reference to Fig. 2), and 8 is MCU embedded board, and 9 is computer.
1. motor is set.The power lead of motor is connected with the driver module of MCU embedded system 8, by computer, issues control command, and the rotating speed of motor is set, and controls MCU drive motor.
2. transmit battery.Battery 5 is just being put on travelling belt, and travelling belt 1 starts.Infrared positioning apparatus 4 is connected with MCU driver module, detect battery whether be transported to high-definition camera 6 under (being surveyed area).If arrival surveyed area, MCU control travelling belt motor 2 stops operating.
3. gather image.Battery 5 stops under high-definition camera 6, and light source 7LED illuminatian plate is according to the light on and off pattern closure or openness of appointment.When taking first image, horizontal LED lamp is bright; While taking second image, vertical LED lamp is bright, and the image of twice shooting is as the feature samples of a battery.High-definition camera 6 takes corresponding cell image, after MCU embedded system pre-service (jpeg image compression), through winding displacement, is uploaded to computer 9.
4. Classification and Identification.In computer 9, by detecting recognition unit, the cell image gathering is carried out to inflatable detection, and return to testing result and control shell fragment 3 and travelling belt motor 2 by MCU embedded system 8.If inflatable battery, shell fragment 3 by this battery bullet from travelling belt; If normal battery, motor 2 drives travelling belt 1 to continue to roll forward, transports battery and leaves travelling belt.Testing result is kept at MySQL database and facilitates follow-up consulting.
5. repeat 2-4 step, until need to detect without battery.
Above-described embodiment is only explanation technical conceive of the present invention and feature, and its object is to allow person skilled in the art can understand content of the present invention, can not limit the scope of the invention with this.All equivalences that Spirit Essence is done according to the present invention change or revise, within all should being encompassed in protection scope of the present invention.
Claims (3)
1. a lithium battery nondestructive detection system, it is characterized in that being provided with material conveyor belt, motor, shell fragment, infrared positioning apparatus, high-definition camera, LED illuminatian plate, MCU embedded board and computer, high-definition camera is connected with computer by MCU embedded board, infrared positioning apparatus is located at LED illuminatian plate below, material conveyor belt edge.
2. a kind of lithium battery nondestructive detection system according to claim 1, is characterized in that the crawler belt that described material conveyor belt is black background.
3. a kind of lithium battery nondestructive detection system according to claim 1, is characterized in that, described LED illuminatian plate is cross, horizontal row LED lamp and vertical row LED lamp, consists of, and is controlled the light on and off of its horizontal and vertical row by MCU embedded board.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320144924.XU CN203422319U (en) | 2013-03-27 | 2013-03-27 | Nondestructive testing system for lithium battery |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320144924.XU CN203422319U (en) | 2013-03-27 | 2013-03-27 | Nondestructive testing system for lithium battery |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203422319U true CN203422319U (en) | 2014-02-05 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201320144924.XU Expired - Fee Related CN203422319U (en) | 2013-03-27 | 2013-03-27 | Nondestructive testing system for lithium battery |
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| CN (1) | CN203422319U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104634934A (en) * | 2015-01-26 | 2015-05-20 | 惠州亿纬锂能股份有限公司 | On-line detection method and device for battery material |
| CN106841209A (en) * | 2016-12-28 | 2017-06-13 | 杭州慧芯智能科技有限公司 | One kind is based on big data self study chemical fiber wire ingot intelligence outward appearance detecting system and method |
| CN112848970A (en) * | 2021-02-20 | 2021-05-28 | 广州橙行智动汽车科技有限公司 | Monitoring method and device and vehicle |
-
2013
- 2013-03-27 CN CN201320144924.XU patent/CN203422319U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104634934A (en) * | 2015-01-26 | 2015-05-20 | 惠州亿纬锂能股份有限公司 | On-line detection method and device for battery material |
| CN106841209A (en) * | 2016-12-28 | 2017-06-13 | 杭州慧芯智能科技有限公司 | One kind is based on big data self study chemical fiber wire ingot intelligence outward appearance detecting system and method |
| CN112848970A (en) * | 2021-02-20 | 2021-05-28 | 广州橙行智动汽车科技有限公司 | Monitoring method and device and vehicle |
| CN112848970B (en) * | 2021-02-20 | 2022-12-13 | 广州橙行智动汽车科技有限公司 | Monitoring method and device and vehicle |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140205 Termination date: 20150327 |
|
| EXPY | Termination of patent right or utility model |