CN103662726A - Belt tearing detection method and protective system on basis of machine vision - Google Patents
Belt tearing detection method and protective system on basis of machine vision Download PDFInfo
- Publication number
- CN103662726A CN103662726A CN201310603311.2A CN201310603311A CN103662726A CN 103662726 A CN103662726 A CN 103662726A CN 201310603311 A CN201310603311 A CN 201310603311A CN 103662726 A CN103662726 A CN 103662726A
- Authority
- CN
- China
- Prior art keywords
- belt
- light source
- led light
- video camera
- ccd video
- 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.)
- Pending
Links
Images
Abstract
The invention provides a belt tearing detection method and a protective system on the basis of machine vision. The protective system comprises an image obtaining module, an optical detection module and a protection compensation module, wherein the image obtaining module comprises a horizontal laser transmitter, a CCD camera I, a CCD camera II and a machine table base; the optical detection module comprises a tearing detection control computer; the protection compensation module comprises an LED light source I, an LED light source II, a blowing fan and a belt conveyer sealing cover; the CCD camera I, the LED light source I, the horizontal laser transmitter, the LED light source II and the CCD camera II are sequentially arranged on the machine table base from left to right, and a belt bottom face is arranged above the CCD camera I, the LED light source I, the horizontal laser transmitter, the LED light source II and the CCD camera II. The method and the system accurately, efficiently and stably detect tearing accidents which may happen during the work process of a conveyer belt.
Description
Technical field
The present invention relates to a kind of inspection method and system, relate in particular to a kind of based on machine vision belt tearing detecting method and protection system.
Background technology
Band conveyor is important tool and the equipment of the Enterprise Transportation coals such as harbour, mine, power plant, because the caused conveyer belt longitudinal tear of impurity accident happens occasionally, if found not in time, can cause whole piece belt tearing to damage, cause huge economic loss.
In order to solve this technical barrier, expert attempts by a variety of methods for anti-tear detection both at home and abroad, such as impulse detection method detect that impulsive force in belt medium is propagated, the stressed unusual condition of carrying roller is analyzed in the abnormal stressed detection of carrying roller, supersonic method detects ultrasonic propagation in belt medium, pizo-resistance method detects belt below and leaks material, embedding inlay technique and in belt, embed the feature that conductive rubber, light transmitting fiber etc., machine vision are extracted belt tearing, according to intelligent algorithm judgement etc.; Because a lot of detection meanss exist certain defect in principle, or the reason such as cost is higher, later maintenance is loaded down with trivial details, all cannot guarantee accurately, stably realize the object that belt tearing detects.
Machine vision method is the new detection means proposing in recent years, and its advantage is noncontact, without scrap build, but because the complexity of image processing algorithm can not meet the online job requirements detecting in real time, not yet in actual production, is used widely.Vision-based detection means have the congenital technical advantage of What You See Is What You Get, and along with the development of computer technology, machine vision detection method is also progressively being tending towards ripe and perfect.
Summary of the invention
The issuable accident of tearing while working in order accurately, efficiently, stably to detect conveyer belt, the invention provides based on machine vision belt tearing detecting method and protection system.
Concrete technical scheme of the present invention is as follows: based on machine vision belt tearing protection system, comprising: image collection module, optical detecting module, protection compensating module; Described image collection module, comprising: a word line laser transmitter, ccd video camera I, ccd video camera II, board base; Described optical detecting module comprises: tear to detect and control computing machine; Described protection compensating module, comprising: LED light source I, LED light source II, purging motor and band conveyor seal closure; Described ccd video camera I, LED light source I, a word line laser transmitter, LED light source II, ccd video camera II are from left to right arranged on board base successively, and the top of ccd video camera I, LED light source I, a word line laser transmitter, LED light source II, ccd video camera II is belt bottom surface; Described belt bottom surface comprises: bottom surface, belt left side, belt horizontal bottom, bottom surface, belt right side; Band conveyor seal closure is placed in board base periphery and is connected with bottom surface, belt left side, bottom surface, belt right side respectively; Described purging motor is arranged on below, bottom surface, belt right side.
Described ccd video camera I and the optical axis intersection of ccd video camera II and respectively horizontal by miter angle;
Described ccd video camera I and ccd video camera II have all been equipped with wide-angle tight shot;
A described word line laser transmitter is reduced to one dimension by the algorithm complex of tearing image characteristics extraction by two dimension;
Described optical detecting module adopts gigabit ethernet interface to be connected with described image collection module.
Based on machine vision belt tearing detecting method, be to implement in said system, concrete steps are as follows:
A, image collection module pass to optical detecting module in real time by belt surface image, for the online detection of the accident of tearing;
Tearing in b, optical detecting module detected control computing machine two two field pictures of every group processed successively;
Band conveyor seal closure in c, protection compensating module seals whole device, adopts LED light source I and LED light source II at belt bottom even light filling simultaneously.
Beneficial effect of the present invention is:
1, image collection module adopts image processing method for detection of belt tearing, has non-contacting feature, has avoided the fugitiveness that in traditional detection means, parameter coupling brings; Ccd video camera I and ccd video camera II are all carried out image acquisition to it, can guarantee the fault-tolerance of system, and while avoiding the capture region of a certain image-taking device to block, detecting device false-alarm frequently can not occur; Board base is for customized especially, guaranteed ccd video camera, LED light source and a word line laser transmitter firm and setting angle rationally.
2, optical detecting module has adopted two CCD fault tolerant mechanisms, has avoided the false-alarm and the mistake police that due to factors such as dust, illumination, bring; Optical detecting module adopts gigabit ethernet interface to be connected with described image collection module, can realize the long distance transmit between belt feeder outlet and control cabin.
3, the LED light source of protection compensating module provides enough Illumination intensity for ccd video camera in enclosure space; Adopt enclosure space and LED light source to guarantee that for light filling ccd video camera can get brilliant image under round-the-clock illumination condition; Purging motor has reduced described image-taking device and has adhered to dust; Band conveyor seal closure has guaranteed that described image-taking device is not subject to the impact of ambient light.
Accompanying drawing explanation
The present invention has accompanying drawing 1 width.
Fig. 1 is the schematic diagram of machine vision belt tearing protection system of the present invention.
Sequence number explanation in figure: 1, a word line laser transmitter, 2, ccd video camera I, 3, ccd video camera II, 4, board base, 5, LED light source I, 6, LED light source II, 7, band conveyor seal closure, 8, purging motor 9, a word line laser striped, 10, belt horizontal bottom, 11, bottom surface, belt left side, 12, bottom surface, belt right side.
The specific embodiment
Below in conjunction with the present embodiment and accompanying drawing, the present invention is further described:
Based on machine vision belt tearing protection system, comprising: image collection module, optical detecting module, protection compensating module; Described image collection module, comprising: a word line laser transmitter 1, ccd video camera I 2, ccd video camera II 3, board base 4; Described optical detecting module comprises: tear to detect and control computing machine; Described protection compensating module, comprising: LED light source I 5, LED light source II 6, purging motor 8 and band conveyor seal closure 7; Described ccd video camera I 2, LED light source I 5, a word line laser transmitter 1, LED light source II 6, ccd video camera II 3 are from left to right arranged on board base successively, and the top of ccd video camera I 2, LED light source I 5, a word line laser transmitter 1, LED light source II 6, ccd video camera II 3 is belt bottom surfaces; Described belt bottom surface comprises: bottom surface 11, belt left side, belt horizontal bottom 10, bottom surface, belt right side 12; Band conveyor seal closure 7 is placed in board base 4 peripheries and is connected with bottom surface 11, belt left side, bottom surface, belt right side 12 respectively; Described purging motor 8 is arranged on 12 belows, bottom surface, belt right side; Described ccd video camera I 2 and the optical axis intersection of ccd video camera II 3 and respectively horizontal by miter angle; Described ccd video camera I 2 and ccd video camera II 3 have all been equipped with wide-angle tight shot; A described word line laser transmitter 1 is reduced to one dimension by the algorithm complex of tearing image characteristics extraction by two dimension; Described optical detecting module adopts gigabit ethernet interface to be connected with described image collection module.
Based on machine vision belt tearing detecting method, be to implement in said system, concrete steps are as follows:
A, image collection module pass to optical detecting module in real time by belt surface image, for the online detection of the accident of tearing; The red laser striped that one word line laser transmitter 1 is 650nm to belt bottom surface wavelength of projection is as the structured light of subsidiary, and the direction of laser rays is vertical with belt transport direction; Ccd video camera I 2 and ccd video camera II 3 are arranged on respectively two ends, board base left and right, its optical axis intersection and respectively horizontal by miter angle, use wide-angle tight shot to obtain larger visual field as far as possible, guarantee that capture scope can cover the cross-sectional plane of whole belt, wherein, ccd video camera I 2 covers the visual field that comprises belt bottom surface 11, left side and belt horizontal bottom 10, and ccd video camera II 3 covers the visual field that comprises bottom surface, belt right side 12 and belt horizontal bottom 10; Because belt horizontal bottom 10 is to tear Frequent Accidents region, ccd video camera I 2 and ccd video camera II 3 are all carried out image acquisition to it, can guarantee the fault-tolerance of system, while avoiding the capture region of a certain image-taking device to block, can there is not false-alarm frequently in detecting device, one word line laser transmitter 1, ccd video camera I 2 and ccd video camera II 3 are separately fixed on board base 4, guarantee the solid and reliable of equipment.
Tearing in b, optical detecting module detected control computing machine two two field pictures of every group processed successively, first in image, extract the center-point of a word line laser striped 9, and the training for neural network as training set using the light intensity at word line laser striped 9 centers and curvature Variation, neural network after training can be fast and effeciently according to Image Feature Detection belt tearing, avoid belt surface cut simultaneously, spots etc. are given to tear and are detected the interference bringing, for the belt horizontal bottom 10 of the most easily tearing, adopt two CCD fault tolerant mechanisms, when ccd video camera I 2 detects while tearing, check the testing result of ccd video camera II 3, guarantee the accuracy of testing result, when the accident of tearing occurs, to operator's compartment, report to the police, in terminal, show with the original image convenient operation personnel that tear feature and confirm simultaneously.
Band conveyor seal closure 7 in c, protection compensating module seals whole device, adopts LED light source I 5 and LED light source II 6 at belt bottom even light filling simultaneously, in order to obtain steady and audible image for analyzing to the belt of rapid movement, need ccd video camera to capture image with high-velocity electrons shutter, and ambient lighting condition changes greatly, cannot guarantee to reach for round-the-clock 24 hours stable Illumination intensity, therefore use band conveyor seal closure 7 that whole device is sealed, adopt LED light source I 5 and LED light source II 6 at belt bottom even light filling simultaneously, so both guaranteed stable illumination condition, the smear of avoiding belt movement to bring, airtight space has also effectively suppressed dust simultaneously, cinder is the noise that image acquisition is brought.
The invention solves Machine Vision Detection means too complicated difficult problem of algorithm in tearing characteristic extraction procedure, according to the analysis of laser stripe continuity and curvature variation, judge that the accident of tearing has higher recognition accuracy, in the time of can meeting Belt Conveying machine operation, detect the requirement of real-time of the accident of tearing, non-contacting detection mode has the feature of What You See Is What You Get, has very high practical value.
Claims (6)
1. based on machine vision belt tearing protection system, it is characterized in that comprising: image collection module, optical detecting module, protection compensating module; Described image collection module, comprising: a word line laser transmitter (1), ccd video camera I (2), ccd video camera II (3), board base (4); Described optical detecting module comprises: tear to detect and control computing machine; Described protection compensating module, comprising: LED light source I (5), LED light source II (6), purging motor (8) and band conveyor seal closure (7); It is upper that described ccd video camera I (2), LED light source I (5), a word line laser transmitter (1), LED light source II (6), ccd video camera II (3) are from left to right arranged on board base (4) successively, and the top of ccd video camera I (2), LED light source I (5), a word line laser transmitter (1), LED light source II (6), ccd video camera II (3) is belt bottom surface; Described belt bottom surface comprises: bottom surface (11), belt left side, belt horizontal bottom (10), bottom surface, belt right side (12); Band conveyor seal closure (7) is placed in board base (4) periphery and is connected with bottom surface (11), belt left side, bottom surface, belt right side (12) respectively; Described purging motor (8) is arranged on below, bottom surface, belt right side (12).
2. according to claim 1 based on machine vision belt tearing protection system, it is characterized in that: described ccd video camera I (2) and the optical axis intersection of ccd video camera II (3) and respectively horizontal by miter angle.
3. according to claim 1 and 2 based on machine vision belt tearing protection system, it is characterized in that: described ccd video camera I (2) and ccd video camera II (3) have all been equipped with wide-angle tight shot.
4. according to claim 1 based on machine vision belt tearing protection system, it is characterized in that: a described word line laser transmitter (1) is reduced to one dimension by the algorithm complex of tearing image characteristics extraction by two dimension.
5. according to claim 1 based on machine vision belt tearing protection system, it is characterized in that: described optical detecting module adopts gigabit ethernet interface to be connected with described image collection module.
6. based on machine vision belt tearing detecting method, be to implement in the system described in power 1, it is characterized in that: concrete steps are as follows:
A, image collection module pass to optical detecting module in real time by belt surface image, for the online detection of the accident of tearing;
Tearing in b, optical detecting module detected control computing machine two two field pictures of every group processed successively;
Band conveyor seal closure (7) in c, protection compensating module seals whole device, adopts LED light source I (5) and LED light source II (6) at belt bottom even light filling simultaneously.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310603311.2A CN103662726A (en) | 2013-11-22 | 2013-11-22 | Belt tearing detection method and protective system on basis of machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310603311.2A CN103662726A (en) | 2013-11-22 | 2013-11-22 | Belt tearing detection method and protective system on basis of machine vision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103662726A true CN103662726A (en) | 2014-03-26 |
Family
ID=50301698
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310603311.2A Pending CN103662726A (en) | 2013-11-22 | 2013-11-22 | Belt tearing detection method and protective system on basis of machine vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103662726A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105699391A (en) * | 2016-03-24 | 2016-06-22 | 安徽工程大学 | Detecting device for belt surface of conveyer belt and detection method thereof |
| CN105823785A (en) * | 2016-05-06 | 2016-08-03 | 西安工业大学 | Conveying belt surface crack online detection device and detection method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101804907A (en) * | 2010-03-17 | 2010-08-18 | 燕山大学 | Machine vision belt tearing detecting and protecting device |
| CN102275723A (en) * | 2011-05-16 | 2011-12-14 | 天津工业大学 | Machine-vision-based online monitoring system and method for conveyer belt |
| CN102358505A (en) * | 2011-06-28 | 2012-02-22 | 太原理工大学 | Conveyor belt longitudinal-tearing online monitoring early warning device |
| CN102951426A (en) * | 2012-11-07 | 2013-03-06 | 太原理工大学 | Visual detection method of longitudinal tear of conveying belt |
-
2013
- 2013-11-22 CN CN201310603311.2A patent/CN103662726A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101804907A (en) * | 2010-03-17 | 2010-08-18 | 燕山大学 | Machine vision belt tearing detecting and protecting device |
| CN101986143A (en) * | 2010-03-17 | 2011-03-16 | 燕山大学 | Machine vision belt tear detection and protective device |
| CN102275723A (en) * | 2011-05-16 | 2011-12-14 | 天津工业大学 | Machine-vision-based online monitoring system and method for conveyer belt |
| CN102358505A (en) * | 2011-06-28 | 2012-02-22 | 太原理工大学 | Conveyor belt longitudinal-tearing online monitoring early warning device |
| CN102951426A (en) * | 2012-11-07 | 2013-03-06 | 太原理工大学 | Visual detection method of longitudinal tear of conveying belt |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105699391A (en) * | 2016-03-24 | 2016-06-22 | 安徽工程大学 | Detecting device for belt surface of conveyer belt and detection method thereof |
| CN105823785A (en) * | 2016-05-06 | 2016-08-03 | 西安工业大学 | Conveying belt surface crack online detection device and detection method |
| CN105823785B (en) * | 2016-05-06 | 2019-06-04 | 西安工业大学 | A kind of conveyer belt alligatoring on-line measuring device and detection method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101986143B (en) | Machine vision belt tear detection and protective device | |
| CN201890600U (en) | Machine vision belt tearing detecting device | |
| CN103101741B (en) | The implementation method of laser vision conveyer belt damage detection means | |
| CN102275723A (en) | Machine-vision-based online monitoring system and method for conveyer belt | |
| CN105491349A (en) | Belt group abnormal state automatic touring detection system and detection method thereof | |
| CN105181709A (en) | Combined multiple-light-source on-line detection device and method for appearance defects of brake pad | |
| CN106802215A (en) | A kind of device for detecting water leakage of water pipe and detection method | |
| CN104998835A (en) | Automatic detection and classification device for belt type lenses | |
| CN103983426B (en) | The detection of a kind of defect of optical fiber based on machine vision and sorting technique | |
| CN104792796A (en) | On-line monitoring system for mining adhesive tape operation condition based on machine vision | |
| CN110015553B (en) | Foreign matter detection and protection method for conveyor belt system based on video analysis | |
| CN103901045A (en) | Classification screening device for detecting cap quality | |
| CN111591716A (en) | Photoelectric integrated intelligent detection device for belt damage condition of conveyor | |
| CN111289529A (en) | Conveying belt tearing detection system and detection method based on AI intelligent analysis | |
| CN104512579A (en) | Defect detecting method for bracing wire on transparent packing material | |
| CN105548196B (en) | The method and apparatus of the online non-destructive testing of hard alloy top hammer | |
| US9501807B2 (en) | Detecting system and detecting method for products | |
| CN109384017A (en) | A kind of transported material method for recognizing impurities | |
| CN202351182U (en) | Online high-speed detection system for defects on surface of tinplate | |
| CN103662726A (en) | Belt tearing detection method and protective system on basis of machine vision | |
| CN203187033U (en) | Damage detecting device for laser vision conveying belt | |
| AU2021103537A4 (en) | Multi-viewpoint image acquisition method for longitudinal rip of conveyor belt based on led light source | |
| CN204620479U (en) | A kind of online coding checkout equipment | |
| CN204705679U (en) | A kind of mobile phone automatic Verification and vision inspection apparatus | |
| CN103175842B (en) | Based on CTCP version surface inspecting method and the system of machine vision |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20140326 |