CN101738224A - Working condition detecting method, device and system - Google Patents
Working condition detecting method, device and system Download PDFInfo
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- CN101738224A CN101738224A CN200810225522A CN200810225522A CN101738224A CN 101738224 A CN101738224 A CN 101738224A CN 200810225522 A CN200810225522 A CN 200810225522A CN 200810225522 A CN200810225522 A CN 200810225522A CN 101738224 A CN101738224 A CN 101738224A
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Abstract
The embodiment of the invention relates to a working condition detecting method, a device and a system, wherein the working condition detecting method comprises the following steps: acquiring the image information of a belt conveyer, analyzing and processing the image information, and judging the working condition of the belt conveyer. The working condition detecting device comprises an acquiring unit, a processing unit and a detecting unit, wherein the acquiring unit is used for acquiring the image information of the belt conveyer; the processing unit is used for analyzing and processing the image information; and the detecting unit is used for judging the working condition of the belt conveyer according to the information processed by the processing unit. By acquiring the image information of the belt conveyer and analyzing and processing the image information to judge the working condition of the belt conveyer, the working condition detecting method, device and system avoid the complexity of providing a plurality of sensors and improve the reliability and the sensitivity of detection.
Description
Technical field
The present invention relates to the operating mode detection technique, relate in particular to a kind of contactless Working condition detecting method, Apparatus and system of belt conveyor; Belong to technical field of automation.
Background technology
Nowadays, as a kind of important transmission equipment, the application of belt conveyor is very extensive, but because the working environment of belt conveyor and condition of work are quite complicated, various burst accidents can occur unavoidably.In order to guarantee the belt conveyor operate as normal; few go out and even accidents happened; perhaps when accident occurring, can in time find and repair; real-time working condition monitoring and fault diagnosis technology to belt conveyor has proposed more and more higher requirement; particularly at sideslip, coal piling, foreign matter, the vertically on-line monitoring and the comprehensive protecting technology of common major accidents such as tearing tape, fire; these technology are monitored specific operating mode based on corresponding sensor is installed respectively.
For example in the belt conveyor course of work; owing to bulk foreign matter such as wedge angle spoil, coal cinder and rectangular iron etc. are fallen to block on the conveying belt and are caused the conveying belt longitudinal tear; its tear portion is mainly in the feeding point; must be protected, several discerption detecting devices commonly used at present have: excellent type detecting device, fishing line formula pick-up unit, vibration testing type pick-up unit or the like.For example be used for anti-DXM type anti-deflection device, mining sideslip switch (KPT1) the type anti-deflection device of protection partially again; the CY1 type cigarette checking device that is used for the smog protection is used for the coal potential electrode formula sensor that has the leakproof ring of coal piling protection and the physical construction collision type sensor of band contact.
Though more than detect many with the protective device kind; but its basic functional principle is closely similar; promptly exchange by various sensors, signal processor and surrounding signals; and then offer control system analysis, judge and make a strategic decision; but because applied environment and complicated condition; often sensitivity is not high in actual applications for sensor, and reliability is lower, and the life-span is also shorter.
Summary of the invention
The embodiment of the invention provides a kind of Working condition detecting method, Apparatus and system, to realize that the various operating modes of belt conveyor are carried out high reliability ground to be detected in real time.
The embodiment of the invention provides a kind of Working condition detecting method, and this method comprises: the image information of gathering belt conveyor; Above-mentioned image information is carried out analyzing and processing, judge the operating mode of above-mentioned belt conveyor.
The embodiment of the invention provides a kind of operating mode pick-up unit, and this device comprises: collecting unit, the image information that is used to gather belt conveyor; Processing unit is used for above-mentioned image information is carried out analyzing and processing; Detecting unit is used for judging the operating mode of above-mentioned belt conveyor according to the information after the processing unit processes.
The embodiment of the invention provides a kind of working condition detection system, this system comprises: operating mode pick-up unit and belt conveyor, wherein the operating mode pick-up unit is used to gather the image information of above-mentioned belt conveyor, above-mentioned image information is carried out analyzing and processing, and judge the operating mode of above-mentioned belt conveyor according to the information after the analyzing and processing.
Above-mentioned Working condition detecting method, Apparatus and system, by gathering the image information of belt conveyor, and above-mentioned image information carried out analyzing and processing to judge the operating mode of belt conveyor, and avoided being provided with the complicacy of a plurality of sensors, improved the reliability and the sensitivity that detect.
Description of drawings
Fig. 1 is the process flow diagram of Working condition detecting method embodiment of the present invention;
Fig. 2 for conveying belt among the Working condition detecting method embodiment of the present invention at t
N-1Image synoptic diagram constantly;
Fig. 3 for conveying belt among the Working condition detecting method embodiment of the present invention at t
nImage synoptic diagram constantly;
Fig. 4 is the image synoptic diagram during sideslip not of conveying belt among the Working condition detecting method embodiment of the present invention;
Fig. 5 is the image synoptic diagram during belt deflection among the Working condition detecting method embodiment of the present invention;
Fig. 6 is the image synoptic diagram during longitudinal tear not of conveying belt among the Working condition detecting method embodiment of the present invention;
Fig. 7 is the image synoptic diagram during the conveying belt longitudinal tear among the Working condition detecting method embodiment of the present invention;
Fig. 8 is the image synoptic diagram when not having windrow among the Working condition detecting method embodiment of the present invention;
Fig. 9 is the image synoptic diagram when having windrow among the Working condition detecting method embodiment of the present invention;
Figure 10 is the image synoptic diagram when not having foreign matter among the Working condition detecting method embodiment of the present invention;
Figure 11 is the image synoptic diagram when having foreign matter among the Working condition detecting method embodiment of the present invention;
Image synoptic diagram when Figure 12 normally moves for belt conveyor among the Working condition detecting method embodiment of the present invention;
Figure 13 is the image synoptic diagram during the belt conveyor overload operation among the Working condition detecting method embodiment of the present invention;
Figure 14 is the structural representation of operating mode pick-up unit embodiment of the present invention;
Figure 15 is the structural representation of working condition detection system embodiment of the present invention.
Embodiment
Further specify the technical scheme of the embodiment of the invention below in conjunction with the drawings and specific embodiments.
As shown in Figure 1, be the process flow diagram of Working condition detecting method embodiment of the present invention, this method comprises:
In the above-mentioned steps 101, the image information that the collection belt conveying reaches can realize by a plurality of cameras are set above belt conveyor; In the above-mentioned steps 102, the operating mode of belt conveyor comprises a lot of parameters, the for example detection of the detection of the differentiation of longitudinal tear degree, smog and the dust of the travelling speed of belt conveyor, sideslip degree, conveying belt, windrow, foreign matter and detection of overload or the like, illustrate implementation procedure of the present invention at these parameter informations respectively below, wherein, the B among Fig. 2-Figure 13 all represents conveying belt:
1, judge the travelling speed of belt conveyor:
By timing acquiring to adjacent two width of cloth images in unique point, and the displacement of above-mentioned unique point calculated; For example, in the present embodiment by gathering among Fig. 2 conveying belt B at t
N-1Conveying belt B is at t among unique point A constantly and Fig. 3
nDisplacement L between unique point A constantly, calculate the travelling speed v of belt conveyor according to following formula:
Wherein, Δ t=t
n-t
N-1L is the displacement of unique point A in two width of cloth images; Δ t represents the working time of belt conveyor, and α is the Geometric corrections coefficient.
In addition, as Fig. 2, shown in Figure 3, the unique point on the conveying belt can be provided with a plurality of, and concrete number is provided with as required, but generally, unique point can be divided into two kinds of the intrinsic local geometric point combination of conveying belt or material and the artificial marks of doing in belt edges in advance.
2, judge whether sideslip of belt conveyor: compare with the local standard picture of preserving by realtime graphic, calculate the sideslip side-play amount of belt of belt conveyor with described belt conveyor.For example, can by the record conveyor normally move the time as shown in Figure 4 the conveying belt left hand edge and the spacing l of image left hand edge
0, the spacing l of conveying belt left hand edge and image left hand edge among the Fig. 5 of measurement collection in real time
1, calculate the offset l of conveying belt:
Δl＝l
0-l
1
Wherein, when Δ l＞0, be left sideslip; Otherwise then be right sideslip.
3, judge whether belt conveyor exists longitudinal tear: in the belt conveyor course of work, owing to bulk foreign matter such as wedge angle spoil, coal cinder and rectangular iron etc. are fallen to block on the conveying belt and caused the conveying belt longitudinal tear.Because foreign matter is stuck in the crack, and belt is broadened.Whether the width by conveying belt in the measurement image broadens, and can judge whether longitudinal tear of conveying belt.X among Fig. 6
0The expression conveying belt is i.e. just often the width, the x among Fig. 7 of longitudinal tear not
1Width behind the expression conveying belt longitudinal tear is worked as x
0＜x
1The time, can assert conveying belt generation longitudinal tear phenomenon.
4, Smoke Detection: because mechanical reason, conveying belt and idler pulley generation frictional heat produce smog, and then breaking out of fire, can prevent fire by the monitoring to smog.Judge smog and judge in the image have the method for dust more approaching by image by image; But because the color pastiness of smog, and the color of the color of dust and material is basic identical, so, can distinguish smog and dust by analysis to different colours in the image.
5, windrow detects: the windrow phenomenon mainly occurs in conveyor head or other emptying points; By analyzing the image of gathering the emptying point of coming, monitor the profile size of stockpile, when the profile of stockpile surpasses predetermined value, then judge the windrow phenomenon takes place.The predetermined value of above-mentioned stockpile can be provided with as required, for example, the profile size of stockpile C among Fig. 8 can be made as predetermined value, when the profile size of stockpile C among Fig. 9 during greater than above-mentioned predetermined value, then can confirm to have taken place among Fig. 9 the windrow phenomenon.
6, foreign matter detects: it mainly is the article that detect on the conveying belt whether influential conveyor safe handling that foreign matter detects, as: club, microscler iron, people etc.What mainly deliver because of conveyor is loose unpacked material, its shape and foreign matter have obvious difference, so by the next image of real-time analysis collection, can find foreign matter, for example compare by the shape with material on the conveying belt in the image of Figure 10 and Figure 11 and club D, judging D is foreign matter.
7, overload detects: for loose unpacked material, whether conveyor overloads, and can judge according to its materials flow width.The width of measuring the materials flow E among Figure 12 by Flame Image Process is y1, and the width of the materials flow E among Figure 13 is y2, as y2 during greater than y1, is judged as overload operation.In addition, through demarcating or pass through the moving stocking angle and the bulk density of known material, can also calculate the size of operational throughput.
Above-mentioned Working condition detecting method, by gathering the image information of belt conveyor, and above-mentioned image information carried out analyzing and processing to judge the operating mode of belt conveyor, avoided a plurality of sensors being set in a plurality of positions of conveying belt, reduce the complicacy that detects, improved the reliability and the sensitivity that detect.
As shown in figure 14, be the structural representation of operating mode pick-up unit embodiment of the present invention, this device comprises: collecting unit 11, the image information that is used to gather belt conveyor; Processing unit 12 is used for above-mentioned image information is carried out analyzing and processing; Detecting unit 13 is used for judging the operating mode of above-mentioned belt conveyor according to the information after processing unit 12 processing.
Wherein, above-mentioned collecting unit can be embedded in the entity with processing unit and detecting unit; certainly; also can separately be arranged on as required in the different entities; but which kind of set-up mode no matter; as long as it comprises the function that above-mentioned collecting unit, processing unit and detecting unit has, all belong to the technical scheme that the present invention will protect.
Above-mentioned operating mode pick-up unit, gather the image information of belt conveyor by collecting unit, by processing unit above-mentioned image information is carried out analyzing and processing, and judge the operating mode of belt conveyor by detecting unit, avoided a plurality of sensors being set in a plurality of positions of conveying belt, reduce the complicacy that detects, improved the reliability and the sensitivity that detect.
As shown in figure 15, structural representation for working condition detection system embodiment of the present invention, this system comprises: operating mode pick-up unit 1 and belt conveyor 2, wherein operating mode pick-up unit 1 is used to gather the image information of above-mentioned belt conveyor 2, above-mentioned image information is carried out analyzing and processing, and judge the operating mode of above-mentioned belt conveyor 2 according to the information after the analyzing and processing.
Above-mentioned working condition detection system, by gathering the image information of belt conveyor, and above-mentioned image information carried out analyzing and processing to judge the operating mode of belt conveyor, avoided a plurality of sensors being set in a plurality of positions of conveying belt, reduce the complicacy that detects, improved the reliability and the sensitivity that detect.
It should be noted that at last: above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment the present invention is had been described in detail, those of ordinary skill in the art is to be understood that: it still can be made amendment to the technical scheme that aforementioned each embodiment put down in writing, and perhaps part technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. Working condition detecting method is characterized in that comprising:
Gather the image information of belt conveyor;
Described image information is carried out analyzing and processing, judge the operating mode of described belt conveyor.
2. Working condition detecting method according to claim 1 is characterized in that the image information of described collection belt conveyor comprises:
Characteristic point information in adjacent two width of cloth images of timing acquiring belt conveyor;
Described described image information is carried out analyzing and processing, the operating mode of judging described belt conveyor comprises:
Calculate the travelling speed of belt conveyor by displacement to the unique point in described adjacent two width of cloth images.
3. Working condition detecting method according to claim 1 is characterized in that described described image information being carried out analyzing and processing, and the operating mode of judging described belt conveyor comprises:
The realtime graphic of described belt conveyor is compared with the local standard picture of preserving, calculate the sideslip side-play amount of belt of belt conveyor.
4. Working condition detecting method according to claim 1 is characterized in that described described image information being carried out analyzing and processing, and the operating mode of judging described belt conveyor comprises:
By the width of the conveying belt in the belt conveyor image relatively, whether the conveying belt of determining belt conveyor longitudinal tear.
5. Working condition detecting method according to claim 1 is characterized in that described described image information being carried out analyzing and processing, and the operating mode of judging described belt conveyor comprises:
By the different colours in the belt conveyor image is analyzed, distinguish smog and dust.
6. Working condition detecting method according to claim 1 is characterized in that described described image information being carried out analyzing and processing, and the operating mode of judging described belt conveyor comprises:
Identify the position of windrow point in the belt conveyor, and the image outline of described position is analyzed;
When described image outline greater than predetermined value, then confirm the material generation windrow phenomenon of described position.
7. Working condition detecting method according to claim 1 is characterized in that described described image information being carried out analyzing and processing, and the operating mode of judging described belt conveyor comprises:
Materials flow picture shape on the belt conveyor is analyzed, identified foreign matter.
8. Working condition detecting method according to claim 1 is characterized in that described described image information being carried out analyzing and processing, and the operating mode of judging described belt conveyor comprises:
By the materials flow width on the belt conveyor is measured, calculate the size of materials flow operational throughput, judge whether overload operation.
9. operating mode pick-up unit is characterized in that comprising:
Collecting unit, the image information that is used to gather belt conveyor;
Processing unit is used for described image information is carried out analyzing and processing;
Detecting unit is used for judging the operating mode of described belt conveyor according to the information after the processing unit processes.
10. working condition detection system, comprise operating mode pick-up unit and belt conveyor, it is characterized in that described operating mode pick-up unit, be used to gather the image information of described belt conveyor, described image information is carried out analyzing and processing, and judge the operating mode of described belt conveyor according to the information after the analyzing and processing.
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| CN200810225522A CN101738224A (en) | 2008-11-04 | 2008-11-04 | Working condition detecting method, device and system |
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| CN200810225522A CN101738224A (en) | 2008-11-04 | 2008-11-04 | Working condition detecting method, device and system |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102502207A (en) * | 2011-11-08 | 2012-06-20 | 中国矿业大学 | Fault detection device for belt conveyer |
| CN102673979A (en) * | 2012-06-12 | 2012-09-19 | 青岛科技大学 | Method and device for judging deviation of conveying belt |
| CN102991998A (en) * | 2012-10-04 | 2013-03-27 | 昆山特力伯传动科技有限公司 | Conveyor belt anomaly detection system |
| CN103787044A (en) * | 2014-02-11 | 2014-05-14 | 三峡大学 | Overload processing system and method of hydropower engineering belt conveyer |
| CN104670840A (en) * | 2014-12-24 | 2015-06-03 | 辽宁巨峰科技有限公司 | Bulk-material conveying belt running monitoring device |
| CN105059868A (en) * | 2015-06-01 | 2015-11-18 | 中国矿业大学 | Mining belt conveyor belt breakage detection device and detection method |
| CN105083912A (en) * | 2015-07-07 | 2015-11-25 | 青岛科技大学 | Conveyer belt deviation detecting method based on image identification |
| CN105173614A (en) * | 2015-10-28 | 2015-12-23 | 中国矿业大学(北京) | Belt longitudinal tearing detection method based on image discontinuous point detection |
| CN105819160A (en) * | 2016-05-07 | 2016-08-03 | 安徽盛运重工机械有限责任公司 | Intelligent conveyor running system and method |
| CN107043000A (en) * | 2017-06-15 | 2017-08-15 | 西安科技大学 | A kind of belt conveyer safe and intelligent safeguards system based on machine vision |
| CN109205317A (en) * | 2017-06-30 | 2019-01-15 | 智仁画像科技有限公司 | Powder transfer device |
| CN105491349B (en) * | 2015-12-31 | 2019-03-26 | 天津市三特电子有限公司 | The automatic Perambulated inspection system of belt group abnormality and its detection method |
| CN110040468A (en) * | 2018-01-15 | 2019-07-23 | 中冶长天国际工程有限责任公司 | A kind of method for diagnosing faults and device of belt feeder |
| CN110902315A (en) * | 2019-12-10 | 2020-03-24 | 浙江蓝卓工业互联网信息技术有限公司 | Belt deviation state detection method and system |
| CN112193763A (en) * | 2020-10-29 | 2021-01-08 | 河南理工大学 | Belt deviation detection system of belt conveyor |
| CN113501282A (en) * | 2021-09-13 | 2021-10-15 | 山东金科星机电股份有限公司 | Memory management system based on image data processing and use method |
| WO2023171624A1 (en) * | 2022-03-07 | 2023-09-14 | Ｊｆｅスチール株式会社 | Belt conveyance state detection device and belt conveyance state detection method |
-
2008
- 2008-11-04 CN CN200810225522A patent/CN101738224A/en active Pending
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| CN102502207A (en) * | 2011-11-08 | 2012-06-20 | 中国矿业大学 | Fault detection device for belt conveyer |
| CN102673979A (en) * | 2012-06-12 | 2012-09-19 | 青岛科技大学 | Method and device for judging deviation of conveying belt |
| CN102673979B (en) * | 2012-06-12 | 2014-06-11 | 青岛科技大学 | Method and device for judging deviation of conveying belt |
| CN102991998A (en) * | 2012-10-04 | 2013-03-27 | 昆山特力伯传动科技有限公司 | Conveyor belt anomaly detection system |
| CN102991998B (en) * | 2012-10-04 | 2015-02-25 | 昆山特力伯传动科技有限公司 | Conveyor belt anomaly detection system |
| CN103787044B (en) * | 2014-02-11 | 2016-01-20 | 三峡大学 | Hydroelectric project belt-type transport plane overload disposal system and method |
| CN103787044A (en) * | 2014-02-11 | 2014-05-14 | 三峡大学 | Overload processing system and method of hydropower engineering belt conveyer |
| CN104670840B (en) * | 2014-12-24 | 2017-02-22 | 辽宁巨峰科技有限公司 | Bulk-material conveying belt running monitoring device |
| CN104670840A (en) * | 2014-12-24 | 2015-06-03 | 辽宁巨峰科技有限公司 | Bulk-material conveying belt running monitoring device |
| CN105059868A (en) * | 2015-06-01 | 2015-11-18 | 中国矿业大学 | Mining belt conveyor belt breakage detection device and detection method |
| CN105059868B (en) * | 2015-06-01 | 2017-04-05 | 中国矿业大学 | A kind of mine belt conveyor broken belt detection method |
| CN105083912A (en) * | 2015-07-07 | 2015-11-25 | 青岛科技大学 | Conveyer belt deviation detecting method based on image identification |
| CN105173614A (en) * | 2015-10-28 | 2015-12-23 | 中国矿业大学(北京) | Belt longitudinal tearing detection method based on image discontinuous point detection |
| CN105491349B (en) * | 2015-12-31 | 2019-03-26 | 天津市三特电子有限公司 | The automatic Perambulated inspection system of belt group abnormality and its detection method |
| CN105819160A (en) * | 2016-05-07 | 2016-08-03 | 安徽盛运重工机械有限责任公司 | Intelligent conveyor running system and method |
| CN107043000A (en) * | 2017-06-15 | 2017-08-15 | 西安科技大学 | A kind of belt conveyer safe and intelligent safeguards system based on machine vision |
| CN107043000B (en) * | 2017-06-15 | 2018-10-12 | 西安科技大学 | A kind of belt conveyer safe and intelligent safeguards system based on machine vision |
| CN109205317A (en) * | 2017-06-30 | 2019-01-15 | 智仁画像科技有限公司 | Powder transfer device |
| CN109205317B (en) * | 2017-06-30 | 2020-12-22 | 智仁画像科技有限公司 | Powder conveying device |
| CN110040468A (en) * | 2018-01-15 | 2019-07-23 | 中冶长天国际工程有限责任公司 | A kind of method for diagnosing faults and device of belt feeder |
| CN110902315A (en) * | 2019-12-10 | 2020-03-24 | 浙江蓝卓工业互联网信息技术有限公司 | Belt deviation state detection method and system |
| CN110902315B (en) * | 2019-12-10 | 2022-04-01 | 浙江蓝卓工业互联网信息技术有限公司 | Belt deviation state detection method and system |
| CN112193763A (en) * | 2020-10-29 | 2021-01-08 | 河南理工大学 | Belt deviation detection system of belt conveyor |
| CN113501282A (en) * | 2021-09-13 | 2021-10-15 | 山东金科星机电股份有限公司 | Memory management system based on image data processing and use method |
| WO2023171624A1 (en) * | 2022-03-07 | 2023-09-14 | Ｊｆｅスチール株式会社 | Belt conveyance state detection device and belt conveyance state detection method |
| JP7473085B2 (en) | 2022-03-07 | 2024-04-23 | Ｊｆｅスチール株式会社 | Belt conveyance state detection device and belt conveyance state detection method |
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Application publication date: 20100616 |