CN208270445U - Track component surface defect detection apparatus based on three-dimensional measurement - Google Patents
Track component surface defect detection apparatus based on three-dimensional measurement Download PDFInfo
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- CN208270445U CN208270445U CN201820979674.4U CN201820979674U CN208270445U CN 208270445 U CN208270445 U CN 208270445U CN 201820979674 U CN201820979674 U CN 201820979674U CN 208270445 U CN208270445 U CN 208270445U
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Abstract
The detection device for the track component surface defect based on three-dimensional measurement that the utility model relates to a kind of belongs to track component surface defects detection technical method field.Track component surface defect detection apparatus based on three-dimensional measurement, it is characterised in that: including bracket, cable architecture light source, three-dimensional camera, photoelectric encoder and industrial computer, bracket is fixed on shiftable track detection vehicle；Cable architecture light source is vertically installed on bracket, and is located at right above track；Three-dimensional camera is connect at an angle with bracket, the linear striped formed in measurand for capturing line-structured light source；Photoelectric encoder is installed on the wheel of shiftable track detection vehicle, shoots linear stripe pattern for triggering and controlling three-dimensional camera；Industrial computer is connect by data line with three-dimensional camera.The utility model has the advantages that 1, can distinguish the real defect of raceway surface, while can not only identify whether fastener is lost, and can also identify situations such as whether fastener has fracture and loosen.2, the acquisition of data is stable, efficient, reliable, and measuring accuracy is high, and real result is reliable.3, applied widely.
Description
Technical field
The detection device for the track component surface defect based on three-dimensional measurement that the utility model relates to a kind of, belongs to orbit portion
Part surface defects detection technical method field.
Background technique
With the proposition of China " eight cross eight are vertical " High-speed Railway Network planning new strategy, railway traffic will be towards high speed, height
Density, comprehensive direction are developed, and also proposed to the defects detection work for the raceway surface component for ensureing safe train operation
Increasingly higher demands, the common factors for influencing safe train operation are the defects of fastener is lost, is broken and loosened state, track
Surface, which is formed, peels off various defects such as chip off-falling, scratch, conquassation, fine cracks and rail head abrasion etc..
Defect service work for track components such as track or fasteners at present depends on artificial inspection and finds identification
Defect, this method are very big to the working strength of service personnel.In addition, the raceway surface defect based on two-dimentional machine vision technique
Detection has a small amount of product appearance and carries out trial operation on the market, and since track is chronically exposed to open air, surface usually has rust
The form that mark and spot, rusty stain and spot and true defect (such as crackle, peeling, chip off-falling and conquassation) are presented in two dimensional image
Unanimously, it is difficult to distinguish the two using two dimensional image processing technique, causes the false detection rate of defect high, to need to be aided with people
Work carries out secondary-confirmation to reach defects detection.In addition, when using two-dimensional visual and image processing techniques detection fastener state, only
It can identify whether fastener has loss, cannot detect whether fastener fractures and loosen, this method still needs to human assistance maintenance, detection
Efficiency is relatively low, and detection accuracy is not high, can not carry out defect precise positioning.
Utility model content
The purpose of this utility model is to solve problems of the prior art, and providing one kind can be to Rail Surface and button
The track components such as part carry out defects detection, high degree of automation, the detection orbit portion accurate, easy to operate based on three-dimensional measurement
Part surface defect detection apparatus.
To achieve the goals above, the utility model adopts the following technical solution: the track component table based on three-dimensional measurement
Planar defect detection device, it is characterised in that: calculated including bracket, cable architecture light source, three-dimensional camera, photoelectric encoder and industry
Machine, bracket are fixed on shiftable track detection vehicle；Cable architecture light source is vertically installed on bracket, and is located at right above track；
Three-dimensional camera is connect at an angle with bracket, the linear striped formed in measurand for capturing line-structured light source；Light
Photoelectric coder is installed on the wheel of shiftable track detection vehicle, shoots linear bar graph for triggering and controlling three-dimensional camera
Picture；Industrial computer is connect by data line with three-dimensional camera.
Preferably, the bracket is two, is located at the surface of left and right sides track.
Preferably, the photoelectric encoder is mounted on axletree.
Preferably, the light of optical axis Yu the line laser transmitting of three-dimensional camera is in 45 °.
Linear laser source is set to right above raceway surface, the linear laser covering single-sided tracks surface launched and unilateral side
The fastener portion of track two sides；Photoelectric encoder at axletree converts pulse signal for mileage signal and passes pulse signal
It is defeated by three-dimensional camera, triggering and control three-dimensional camera shoot linear laser stripe image, then parsed and be generated as three-dimensional point
Cloud data, and it is transmitted to industrial computer；Data are handled by three dimensional point cloud processing software, according to three-dimensional point cloud
The space relative coordinates of data and Curvature varying judge that track component surface with the presence or absence of defect, while will test result and phase
Information storage is closed to database.
The utility model compared with prior art, has the advantages that
1, the real defect such as the rusty stain of raceway surface, spot and crackle, peeling, chip off-falling, conquassation can be distinguished, simultaneously
It can not only identify whether fastener is lost, situations such as whether fastener has fracture and loosen can also be identified.
2, the acquisition of data is stable, efficient, reliable, and measuring accuracy is high, and real result is reliable, can be to track component table
Face carries out full automatic quick detection, saves the time, improves work efficiency, can meet the requirement of on-line checking.
3, applied widely, it can be used as standalone module and be mounted on other track geometry measuring devices and independently use.
Detailed description of the invention
Fig. 1 is the utility model embodiment three-dimensional imaging schematic illustration；
Fig. 2 is that the utility model implements structural schematic diagram；
Fig. 3 is the side view of Fig. 2；
Fig. 4 is the top view of Fig. 2；
In figure, 1, linear laser source；2, three-dimensional camera；3, fixed bracket；4, photoelectric encoder；5, industrial computer；6, rail
Road.
Specific embodiment
It should be noted that the noun of locality " front and back " in the present embodiment is described according to shown in attached drawing, do not constitute
Limitations of the present invention.
1-4 is further described the utility model with reference to the accompanying drawing: the track component surface based on three-dimensional measurement lacks
Detection device is fallen into, detects vehicle, wheel (not shown) and Orbit Matching for shiftable track, it is convenient mobile in orbit,
Including fixed bracket 3, cable architecture light source 1, three-dimensional camera 2, photoelectric encoder 4 and industrial computer 5, fixed bracket 3 is two,
It is located at the surface of two tracks in left and right, wheel is placed on track 6 and track-movable；Cable architecture light source 1 is vertically set
It is placed on fixed bracket 3, and is located at right above track；Three-dimensional camera 2 is connect at an angle with fixed bracket 3, for capturing
The linear striped formed on the in-orbit road surface of cable architecture light source and single-sided tracks two sides fastener；Photoelectric encoder 4 is installed on wheel
On axis, linear stripe pattern is shot for triggering and controlling three-dimensional camera；Industrial computer 5 is connected by data line and three-dimensional camera
It connects.
Linear laser source is mounted on the fixation bracket right above raceway surface, and Vertical Launch goes out stable linear laser to quilt
Test object (raceway surface and track two sides fastener) forms linear striped.
Photoelectric encoder is mounted on axletree, and mileage signal is converted to pulse signal, is believed pulse by data line
It number is transferred to three-dimensional camera, triggering and control three-dimensional camera shoot linear stripe pattern.
Three-dimensional camera tilts on the fixation bracket that certain angle is mounted on immediately ahead of cable architecture light source, the light of three-dimensional camera
Axis and the light of line laser transmitting are in 45 °.The pulse signal that three-dimensional camera often receives a photoelectric encoder just shoots one
Linear laser stripe pattern, while wheel travels forward in orbit, forms relative motion, dynamic scan by camera and track
Raceway surface and track two sides fastener portion, parsing laser stripe generate three dimensional point cloud, are then communicated to industrial computer.
Industrial computer is handled the point cloud data of acquisition by the three dimensional point cloud processing software developed, and is calculated
The space relative coordinate and Curvature varying of errant three dimensional point cloud are realized the detection of track component surface defect and are precisely determined
Position, while will test result and relevant information storage to database.
Above-described embodiment is only preferred embodiments of the present invention, does not constitute limitations of the present invention, and three
The distance of camera distance Rail Surface is tieed up depending on practical situations, the purpose is to can take complete laser stripe
Image.Any amplification that those of ordinary skill in the art are done on the basis of the utility model, deformation are in the utility model
Protection scope in.
Claims (4)
1. the track component surface defect detection apparatus based on three-dimensional measurement detects vehicle for shiftable track, it is characterised in that: packet
Include bracket, cable architecture light source, three-dimensional camera, photoelectric encoder and industrial computer；Bracket is fixed on shiftable track detection vehicle
On；Cable architecture light source is vertically installed on bracket, and is located at right above track；Three-dimensional camera is connect at an angle with bracket,
The linear striped formed in measurand for capturing line-structured light source；Photoelectric encoder is installed on shiftable track detection vehicle
Wheel on, shoot linear stripe pattern for triggering and controlling three-dimensional camera；Industrial computer passes through data line and three-dimensional phase
Machine connection.
2. the track component surface defect detection apparatus according to claim 1 based on three-dimensional measurement, it is characterised in that: institute
Stating bracket is two, is located at the surface of two tracks.
3. the track component surface defect detection apparatus according to claim 1 or 2 based on three-dimensional measurement, feature exist
In: the photoelectric encoder is mounted on axletree.
4. the track component surface defect detection apparatus according to claim 1 based on three-dimensional measurement, it is characterised in that: three
The light of the optical axis and line laser transmitting of tieing up camera is in 45 °.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820979674.4U CN208270445U (en) | 2018-06-25 | 2018-06-25 | Track component surface defect detection apparatus based on three-dimensional measurement |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820979674.4U CN208270445U (en) | 2018-06-25 | 2018-06-25 | Track component surface defect detection apparatus based on three-dimensional measurement |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN208270445U true CN208270445U (en) | 2018-12-21 |
Family
ID=64690114
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201820979674.4U Expired - Fee Related CN208270445U (en) | 2018-06-25 | 2018-06-25 | Track component surface defect detection apparatus based on three-dimensional measurement |
Country Status (1)
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| CN (1) | CN208270445U (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109975315A (en) * | 2019-04-29 | 2019-07-05 | 南昌工程学院 | A kind of track component surface defect vision inspection car |
| CN110806411A (en) * | 2019-11-07 | 2020-02-18 | 武汉理工大学 | Unmanned aerial vehicle rail detecting system based on line structure light |
| CN111122602A (en) * | 2020-01-03 | 2020-05-08 | 重庆大学 | Three-dimensional camera-based straddle type monorail finger-shaped plate abnormity detection system and method |
| CN111650212A (en) * | 2020-07-03 | 2020-09-11 | 东北大学 | Metal surface normal direction three-dimensional information acquisition method based on linear array camera three-dimensional vision |
| CN112172863A (en) * | 2020-10-27 | 2021-01-05 | 华东交通大学 | Railway fastener defect form rapid detection vehicle |
| CN112651965A (en) * | 2021-01-14 | 2021-04-13 | 成都铁安科技有限责任公司 | Three-dimensional detection method and system for wheel tread defects |
| CN113147807A (en) * | 2021-04-20 | 2021-07-23 | 武汉理工大学 | Rail nondestructive testing trolley and rail nondestructive testing method |
| CN113418897A (en) * | 2021-06-17 | 2021-09-21 | 安徽建筑大学 | Fluorescent material excitation measuring device |
| CN115115631A (en) * | 2022-08-29 | 2022-09-27 | 深圳市信润富联数字科技有限公司 | Hub defect detection method, device, equipment and computer readable medium |
-
2018
- 2018-06-25 CN CN201820979674.4U patent/CN208270445U/en not_active Expired - Fee Related
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109975315A (en) * | 2019-04-29 | 2019-07-05 | 南昌工程学院 | A kind of track component surface defect vision inspection car |
| CN110806411A (en) * | 2019-11-07 | 2020-02-18 | 武汉理工大学 | Unmanned aerial vehicle rail detecting system based on line structure light |
| CN111122602A (en) * | 2020-01-03 | 2020-05-08 | 重庆大学 | Three-dimensional camera-based straddle type monorail finger-shaped plate abnormity detection system and method |
| CN111122602B (en) * | 2020-01-03 | 2021-03-30 | 重庆大学 | Three-dimensional camera-based straddle type monorail finger-shaped plate abnormity detection system and method |
| CN111650212A (en) * | 2020-07-03 | 2020-09-11 | 东北大学 | Metal surface normal direction three-dimensional information acquisition method based on linear array camera three-dimensional vision |
| CN112172863A (en) * | 2020-10-27 | 2021-01-05 | 华东交通大学 | Railway fastener defect form rapid detection vehicle |
| CN112651965A (en) * | 2021-01-14 | 2021-04-13 | 成都铁安科技有限责任公司 | Three-dimensional detection method and system for wheel tread defects |
| CN112651965B (en) * | 2021-01-14 | 2023-11-07 | 成都铁安科技有限责任公司 | Three-dimensional detection method and system for tread defect of wheel |
| CN113147807A (en) * | 2021-04-20 | 2021-07-23 | 武汉理工大学 | Rail nondestructive testing trolley and rail nondestructive testing method |
| CN113418897A (en) * | 2021-06-17 | 2021-09-21 | 安徽建筑大学 | Fluorescent material excitation measuring device |
| CN113418897B (en) * | 2021-06-17 | 2023-10-20 | 安徽建筑大学 | Fluorescent material excitation measuring device |
| CN115115631A (en) * | 2022-08-29 | 2022-09-27 | 深圳市信润富联数字科技有限公司 | Hub defect detection method, device, equipment and computer readable medium |
| CN115115631B (en) * | 2022-08-29 | 2022-12-09 | 深圳市信润富联数字科技有限公司 | Hub defect detection method, device, equipment and computer readable medium |
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Granted publication date: 20181221 Termination date: 20210625 |