CN109001225B - Device and method for detecting fatigue crack of crane beam of crane - Google Patents
Device and method for detecting fatigue crack of crane beam of crane Download PDFInfo
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- CN109001225B CN109001225B CN201810389787.3A CN201810389787A CN109001225B CN 109001225 B CN109001225 B CN 109001225B CN 201810389787 A CN201810389787 A CN 201810389787A CN 109001225 B CN109001225 B CN 109001225B
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Abstract
The invention discloses a crane beam fatigue crack detection device and method for a crane, wherein a mounting bracket of the device is arranged on a crane, a visual identification module is arranged on the mounting bracket, a control and data processing module and a communication module are arranged on an electric cabinet of the crane, an electromagnetic reader of a triggering module is arranged on the crane Liang Zoudao platform, the visual identification module, the control and data processing module, the communication module and an upper computer are connected, and the electromagnetic reader is connected with the control and data processing module. According to the method, when the electromagnetic reader receives the electromagnetic transponder signal, the control and data processing module is triggered, the control and data processing module starts the visual recognition module to shoot the crane girder web image, the control and data processing module processes the image and then transmits the image to the communication module, and the communication module transmits the image data to the upper computer. The device and the method are based on a visual identification technology, and are used for identifying and marking the suspicious fatigue crack of the crane beam, so that the detection efficiency is improved, the detection cost is reduced, and the running safety of the crane is ensured.
Description
Technical Field
The invention relates to a device and a method for detecting fatigue cracks of crane beams.
Background
The crane is widely applied to various industrial plants, and the fatigue life of the crane beam with the steel structure is more remarkable in the section of heavy-level or overweight-level working and driving operation. The initial stage of the fatigue life problem of the crane beam is shown as a weld joint or a parent metal to generate fatigue micro-cracks, the middle stage is shown as continuous expansion of the cracks along the weld joint and the parent metal, the later stage is shown as tearing of the parent metal, and the crane beam is cracked and collapsed to generate serious structural safety accidents. In order to ensure the structural safety, the part with weak fatigue strength of the crane girder is required to be detected periodically, and after the fatigue crack is found, the crack development trend is maintained or tracked and detected according to the field condition.
Empirically, crane beam fatigue cracks typically occur at crane beam variable cross-section locations and at web upper and upper flange intersections. Because the fatigue cracks are relatively small, detection cannot be realized at all by long-distance observation, and therefore, the short-distance detection can be usually only performed by adopting modes of erecting a scaffold, hanging a hanging basket or adopting a climbing car and the like, but the methods have the defects of long detection time, large labor investment, high cost, poor safety, large production interference and the like.
Disclosure of Invention
The invention aims to solve the technical problem of providing a device and a method for detecting fatigue cracks of a crane beam of a crane, which overcome the defect of the traditional detection of the fatigue cracks of the crane beam of the crane, and based on a visual identification technology, an electromagnetic reader and an electromagnetic transponder are used for exciting a high-speed camera to shoot images, identify and mark the suspected fatigue cracks of the crane beam, so that the detection efficiency is improved, the detection cost is reduced, and the running safety of the crane is ensured.
In order to solve the technical problems, the fatigue crack detection device for the crane beam of the crane comprises a visual identification module, a mounting bracket, a control and data processing module, a communication module, a triggering module and an upper computer, wherein the mounting bracket is arranged on the crane and is positioned below the upper flange elevation of the crane beam and is opposite to the web of the crane beam of the crane, the visual identification module is arranged on the mounting bracket, the control and data processing module and the communication module are arranged on an electric cabinet of the crane, the triggering module comprises an electromagnetic reader and at least one electromagnetic transponder, the electromagnetic reader is arranged on the crane, the electromagnetic transponder is arranged on a railing of a pavement platform of the crane beam, the signal output end of the visual identification module is connected with the signal input end of the control and data processing module, the signal output end of the control and data processing module is connected with the signal input end of the communication module, the communication module transmits signals to the upper computer in a wireless mode, and the signal output end of the electromagnetic reader of the triggering module is connected with the control and data processing module.
Further, the visual recognition module comprises a high-speed camera with an optical anti-shake function and an LED light supplementing lamp.
Further, the installing support includes the shock attenuation seat and turns to the seat, visual identification module, shock attenuation seat and turn to the seat and locate in proper order and just to crane girder web of driving crane girder top flange elevation.
Further, the shock mount comprises two mounting plates which are arranged in parallel at intervals and positioning shafts which are arranged at four corners of the two mounting plates, and the positioning shafts are sleeved into springs which are positioned between the two mounting plates.
Further, the electromagnetic transponders of the triggering module are equidistantly arranged on the pavement platform railing of the crane girder at intervals.
According to the crane girder fatigue crack detection method based on the device, the crane is displaced along the crane girder, when the electromagnetic reader is opposite to the electromagnetic transponder and receives the electromagnetic transponder signal, the electromagnetic reader triggers the control and data processing module, the control and data processing module starts the visual recognition module, the visual recognition module continuously shoots crane girder web images and transmits the crane girder web images to the control and data processing module, the control and data processing module recognizes and analyzes suspicious cracks in image data and transmits the suspicious cracks to the communication module, and the communication module wirelessly transmits the processed image data to the upper computer.
Further, the control and data processing module sets the time interval of continuous shooting of the visual recognition module and the response period triggered by the electromagnetic reader.
Further, the electromagnetic transponder is provided with a unique identification code which is read by the electromagnetic reader, said identification code being written in an image taken by the visual identification module.
The device and the method for detecting the fatigue crack of the crane beam of the crane adopt the technical scheme that the mounting bracket of the device is arranged on the crane, the visual identification module is arranged on the mounting bracket, the control and data processing module and the communication module are arranged on the electric cabinet of the crane, the electromagnetic reader of the triggering module is arranged on the crane and the electromagnetic transponder is arranged on the pavement platform of the crane beam, and the visual identification module, the control and data processing module, the communication module and the upper computer are interconnected, and the electromagnetic reader is connected with the control and data processing module. When the travelling crane moves along the crane girder, the electromagnetic reader receives electromagnetic transponder signals and triggers the control and data processing module, the control and data processing module starts the visual recognition module to continuously shoot images of the crane girder web and transmit the images to the control and data processing module, the control and data processing module processes the images and then transmits the processed images to the communication module, and the communication module wirelessly transmits the processed image data to the upper computer. The device and the method overcome the defect of fatigue crack detection of the traditional crane beam of the travelling crane, identify and mark the suspected fatigue crack of the crane beam based on the visual identification technology, improve the detection efficiency, reduce the detection cost and ensure the running safety of the travelling crane.
Drawings
The invention is described in further detail below with reference to the attached drawings and embodiments:
FIG. 1 is a schematic diagram of a crane beam fatigue crack detection device for a crane in the present invention;
fig. 2 is a schematic view of the arrangement of components in the present device.
Detailed Description
As shown in fig. 1 and 2, the fatigue crack detection device for crane beam according to the present invention comprises a visual identification module 1, a mounting bracket 2, a control and data processing module 3, a communication module 4, a trigger module 5 and an upper computer 6, wherein the mounting bracket 2 is arranged on a crane 11 and is positioned below the upper flange elevation of the crane beam 12 and is opposite to the web of the crane beam 12, the visual identification module 1 is arranged on the mounting bracket 2, the control and data processing module 3 and the communication module 4 are arranged on a crane electric cabinet 31, the trigger module 5 comprises an electromagnetic reader 51 and at least one electromagnetic transponder 52, the electromagnetic reader 51 is arranged on the crane 11, the electromagnetic transponder 52 is arranged on a platform railing 13 of the crane beam 12, the signal output end of the visual identification module 1 is connected with the signal input end of the control and data processing module 3, the signal output end of the control and data processing module 3 is connected with the signal input end of the communication module 4, the communication module 4 wirelessly transmits signals to the upper computer 6, and the signal output end of the electromagnetic reader 51 of the trigger module 5 is connected with the control and data processing module 3.
Preferably, the visual recognition module 1 comprises a high-speed camera with an optical anti-shake function and an LED light supplement lamp.
Preferably, the mounting bracket 2 comprises a shock absorption seat 22 and a steering seat 21, and the visual identification module 1, the shock absorption seat 22 and the steering seat 21 are sequentially arranged on the crane 11 and positioned below the upper flange elevation of the crane beam 12 and are opposite to the web of the crane beam 12.
Preferably, the shock absorbing seat 22 comprises two mounting plates 23 arranged in parallel at intervals and positioning shafts 24 arranged at four corners of the two mounting plates 23, the positioning shafts 24 are sleeved with springs 25, and the springs 25 are positioned between the two mounting plates 23.
Preferably, the electromagnetic transponders 52 of the triggering module 5 are equidistantly arranged on the pavement platform rail 13 of the crane beam 12.
According to the crane girder fatigue crack detection method based on the device, the crane is displaced along the crane girder, when the electromagnetic reader is opposite to the electromagnetic transponder and receives the electromagnetic transponder signal, the electromagnetic reader triggers the control and data processing module, the control and data processing module starts the visual recognition module, the visual recognition module continuously shoots crane girder web images and transmits the crane girder web images to the control and data processing module, the control and data processing module recognizes and analyzes suspicious cracks in image data and transmits the suspicious cracks to the communication module, and the communication module wirelessly transmits the processed image data to the upper computer.
Preferably, the control and data processing module sets a time interval for continuous shooting by the visual recognition module and a response period triggered by the electromagnetic reader. The fatigue crack of the crane girder can be detected once a day or once a week according to the requirement, namely, once a day or once a week through the visual identification module.
Preferably, the electromagnetic transponder is provided with a unique identification code read by the electromagnetic reader, said identification code being written in an image taken by the visual identification module. The control and data processing module can identify the specific position of the crane beam where the fatigue crack occurs according to the identification code.
The device and the method detect fatigue cracks of the crane girder of the crane based on a visual identification technology, the visual identification module is arranged at the end part of the crane, the crane is used as a carrier, the part of the crane girder web which is easy to generate the fatigue cracks is shot along with the running of the crane, and the suspicious fatigue cracks in the image are identified and marked. Wherein, the traveling crane is provided with an electromagnetic reader, at least one electromagnetic transponder is correspondingly arranged on the railing of the pavement platform of the crane girder, and when the electromagnetic reader is aligned with one of the electromagnetic transponders along with the running of the traveling crane, the electromagnetic reader starts the visual recognition module to shoot the crane girder web at the position through the control and data processing module, and transmits the image to the control and data processing module to carry out fatigue crack recognition detection, and the detection result is transmitted to the upper computer through the communication module to be stored and inquired so as to track or timely process the fatigue crack; obviously, an electromagnetic transponder is arranged at a key position of the crane beam, which is easy to generate fatigue cracks, so that the position can be monitored.
Claims (8)
1. The utility model provides a crane girder fatigue crack detection device of driving which characterized in that: the automatic control device comprises a visual identification module, a mounting bracket, a control and data processing module, a communication module, a trigger module and an upper computer, wherein the mounting bracket is arranged on a crane and is positioned below the elevation of the upper flange of the crane beam and is opposite to the web of the crane beam, the visual identification module is arranged on the mounting bracket, the control and data processing module and the communication module are arranged on an electric cabinet of the crane, the trigger module comprises an electromagnetic reader and at least one electromagnetic transponder, the electromagnetic reader is arranged on the crane, the electromagnetic transponder is arranged on a railing of a pavement platform of the crane beam, the signal output end of the visual identification module is connected with the signal input end of the control and data processing module, the signal output end of the control and data processing module is connected with the signal input end of the communication module, the communication module transmits signals to the upper computer in a wireless mode, and the signal output end of the electromagnetic reader of the trigger module is connected with the control and data processing module.
2. The crane beam fatigue crack detection device according to claim 1, wherein: the visual recognition module comprises a high-speed camera with an optical anti-shake function and an LED light supplementing lamp.
3. The crane beam fatigue crack detection device according to claim 1 or 2, characterized in that: the mounting bracket comprises a shock absorption seat and a steering seat, and the visual identification module, the shock absorption seat and the steering seat are sequentially arranged below the upper flange elevation of the crane girder and are opposite to the web plate of the crane girder.
4. The crane beam fatigue crack detection device according to claim 3, wherein: the damping seat comprises two mounting plates which are arranged in parallel at intervals and positioning shafts arranged at four corners of the two mounting plates, and the positioning shafts are sleeved into springs which are positioned between the two mounting plates.
5. The crane beam fatigue crack detection device according to claim 3, wherein: electromagnetic transponders of the triggering module are arranged on the pavement platform railing of the crane beam at equal intervals.
6. A method for detecting fatigue crack of crane beam for traveling crane according to any one of claims 1 to 5, characterized in that: the crane is displaced along a track on the crane girder, when the electromagnetic reader is opposite to the electromagnetic transponder and receives an electromagnetic transponder signal, the electromagnetic reader triggers the control and data processing module, the control and data processing module starts the visual recognition module, the visual recognition module continuously shoots images of the crane girder web and transmits the images to the control and data processing module, the control and data processing module recognizes and identifies suspicious cracks in image data, analyzes and processes the suspicious cracks and transmits the suspicious cracks to the communication module, and the communication module wirelessly transmits the processed image data to the upper computer.
7. The method for detecting fatigue crack of crane beam for traveling crane according to claim 6, wherein the method comprises the steps of: the control and data processing module sets the time interval of continuous shooting of the visual identification module and the response period triggered by the electromagnetic reader.
8. The method for detecting fatigue crack of crane beam according to claim 6 or 7, wherein: the electromagnetic transponder is provided with a unique identification code which is read by the electromagnetic reader, the identification code being written in an image taken by the visual identification module.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101169380A (en) * | 2007-10-31 | 2008-04-30 | 重庆大学 | Bridge cable surface damage dynamic detection method and device |
CN101509875A (en) * | 2009-03-09 | 2009-08-19 | 北京航空航天大学 | Vision inspection device for railway bridge surface crack |
WO2014089696A1 (en) * | 2012-12-10 | 2014-06-19 | Flextronics Automotive Inc. | Vehicle electromechanical systems triggering based on image recognition and radio frequency |
CN206540846U (en) * | 2017-03-21 | 2017-10-03 | 河北工业大学 | A kind of bridge bottom crack detection system based on unmanned plane during flying platform |
CN109416315A (en) * | 2016-05-06 | 2019-03-01 | 博西迈科思公司 | Machine vision method and system |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7528868B2 (en) * | 2003-12-18 | 2009-05-05 | Eastman Kodak Company | Image metadata attachment |
CN101769877B (en) * | 2008-12-26 | 2011-07-20 | 中国铁道科学研究院基础设施检测研究所 | Track surface scratch detection system |
KR101446057B1 (en) * | 2014-04-10 | 2014-10-02 | 주식회사 에이베스트 | Apparatus for Detecting Crack of Train Railway Sleeper |
DE102014012898A1 (en) * | 2014-09-05 | 2016-03-10 | Collatz+Trojan Gmbh | RFID reader |
GB2542115B (en) * | 2015-09-03 | 2017-11-15 | Rail Vision Europe Ltd | Rail track asset survey system |
CN206399860U (en) * | 2017-01-22 | 2017-08-11 | 太原科技大学 | A kind of Bridge Crack detection means |
-
2018
- 2018-04-27 CN CN201810389787.3A patent/CN109001225B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101169380A (en) * | 2007-10-31 | 2008-04-30 | 重庆大学 | Bridge cable surface damage dynamic detection method and device |
CN101509875A (en) * | 2009-03-09 | 2009-08-19 | 北京航空航天大学 | Vision inspection device for railway bridge surface crack |
WO2014089696A1 (en) * | 2012-12-10 | 2014-06-19 | Flextronics Automotive Inc. | Vehicle electromechanical systems triggering based on image recognition and radio frequency |
CN104968532A (en) * | 2012-12-10 | 2015-10-07 | 伟创力汽车有限公司 | Vehicle electromechanical systems triggering based on image recognition and radio frequency |
CN109416315A (en) * | 2016-05-06 | 2019-03-01 | 博西迈科思公司 | Machine vision method and system |
CN206540846U (en) * | 2017-03-21 | 2017-10-03 | 河北工业大学 | A kind of bridge bottom crack detection system based on unmanned plane during flying platform |
Non-Patent Citations (1)
Title |
---|
初始缺陷对悬臂式吊车梁振动响应的影响;赵雷;科研开发;全文 * |
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