CN109000555A - Vehicle bottom compensation device, system and method for bow net on-line monitoring - Google Patents
Vehicle bottom compensation device, system and method for bow net on-line monitoring Download PDFInfo
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- CN109000555A CN109000555A CN201711052259.0A CN201711052259A CN109000555A CN 109000555 A CN109000555 A CN 109000555A CN 201711052259 A CN201711052259 A CN 201711052259A CN 109000555 A CN109000555 A CN 109000555A
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- rail
- image
- bow net
- line monitoring
- compensation device
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
Abstract
The present invention relates to rail vehicle bow net on-line monitoring technique field, a kind of vehicle bottom compensation device for bow net on-line monitoring, system and method are provided.The device includes the compensation device ontology that vehicle bottom is arranged in, compensation device ontology is equipped with image capture device and light source, this method is the structure reflected light that light source irradiates that formation includes rail longitudinal direction profile on rail, image capture device is from the image for acquiring the structure reflected light with the direction that rail forms an angle, collect substantially S-shaped structure reflected light, when rail vehicle shifts, the S-shaped structure reflected light can occur to scale deformation accordingly, the image to match with collected structure reflected light image is found out in image library, using transversal displacement corresponding to the image to match and sidewinder the offset data that offset monitors on-line as bow net, offset data feedback accuracy of the invention is high, speed is fast, and it is not easily susceptible to the influence of the environmental factors such as landform, stability is strong, it is not susceptible to failure.
Description
Technical field
The present invention relates to rail vehicle bow net on-line monitoring technique fields, and in particular to it is a kind of for bow net on-line monitoring
Vehicle bottom compensation device, system and method.
Background technique
Traditional bow net on-line monitoring is periodically monitored to contact net Pantograph-OCS system using contact net monitoring car, with
The continuous of city steel-rail train is popularized, and the requirement being safely operated to contact net and pantograph is higher and higher, it is therefore desirable to can arrange
The device of real-time monitoring contact net and pantograph operating status on vehicle detects and evaluates during train operation being flowed for bow net
Performance, whether comparative analysis pantograph and the physical aspect of contact net are damaged by way of Image Acquisition, judge on contact net
Whether there is hanger, provides actual track test data for the optimization of the performance of contact net and pantograph, department provides dimension for operation
Repair foundation.
Some online bow net on-line monitoring equipments are had been provided on the rail vehicles such as high-speed rail, motor-car at present, these equipment are set
It sets at the top of rail vehicle, for acquiring the image data of pantograph and contact net, according to monitoring data and historical information
What comparison and analysis meter calculated leads the geometry parameter informations such as height, stagger, judges pantograph and contact net with the presence or absence of different
Often.
In monitoring process, since rail spacing is slightly larger than the wheel spacing of vehicle, and the bogie of rail vehicle also has one
Fixed elasticity, therefore rail vehicle is at runtime, car body can occur small lateral shift and sidewinder offset, thus influence roof
To the accurate judgement of bow net position, lead to the wrong report of failure, therefore, for car body shake, offset in driving conditions to geometric parameters
Error caused by number detection is modified, and the accuracy to the monitoring of bow net geometric parameter is very necessary.
It is directed to the acquisition of bow net geometric parameter measurement offset data at present, obliquity sensor is usually cooperated by rangefinder
It realizes, but the mode of this kind of monitoring car volume morphing is inaccurate, and device is complicated, accurately decline is obvious after long-time service, makes
It is short with the service life.
Summary of the invention
The object of the present invention is to provide a kind of structures simply, can provide accurate rail vehicle migration for bow net monitoring
The device and method of parameter.
To achieve the above object, the present invention provides a kind of vehicle bottom compensation device for bow net on-line monitoring, the devices
Compensation device ontology including vehicle bottom is arranged in, the compensation device ontology are equipped with image capture device and light source, the light
Structure reflected light of the source for longitudinal profile of the irradiation formation including the rail on rail, described image acquire the view of equipment
It is all or part of to cover the structure reflected light, and the acquisition direction of described image acquisition equipment and the rail it is axial mutually
At angle.
Preferably, the light source is linear light source laser.
Preferably, longitudinal direction irradiation of the Linear Laser that the linear light source laser issues along the rail.
Preferably, the light vertical irradiation that the light source issues is to the rail.
Preferably, the compensation device ontology is higher than the axle of rail vehicle.
Preferably, top of the described image acquisition equipment between the rail of two sides.
Preferably, the compensation device ontology is equipped with two groups of image capture devices and light source, two groups of image capture devices
Rail with light source respectively with two sides matches.
The present invention also provides a kind of bow net on-line monitoring system, which includes supervising online for bow net as described above
The vehicle bottom compensation device of survey.
Preferably, this further includes image processing apparatus, and described image processing unit is for analyzing and handling bow net image letter
Breath and the structure reflected light image information.
The present invention also provides a kind of vehicle bottom compensation methodes for bow net on-line monitoring, and irradiation, which is formed, on rail includes
The structure reflected light of rail longitudinal direction profile is being schemed from the image for acquiring the structure reflected light with the direction that rail forms an angle
As finding out the image to match with collected structure reflected light image in library, by track corresponding to the image to match
Vehicle shift amount information and sidewinder the offset data that angle is monitored on-line as bow net.
The present invention provides through on rail irradiation formed include rail longitudinal direction profile structure reflected light, then from steel
The direction that rail forms an angle acquires the image of the structure reflected light, thus collects substantially S-shaped structure reflected light, with
The offset of rail vehicle, the S-shaped structure reflected light can occur to deform accordingly, find out in image library anti-with collected structure
The image that light image matches is penetrated, using transversal displacement corresponding to the image to match and sidewinders offset as bow net
The offset data of on-line monitoring, the offset data feedback accuracy is high, and speed is fast, and is not easily susceptible to the shadow of the environmental factors such as landform
It rings, stability is strong, is not susceptible to failure.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram one of bow net on-line monitoring system of the embodiment of the present invention；
Fig. 2 is a kind of schematic diagram two of bow net on-line monitoring system of the embodiment of the present invention.
In figure:
1, rail vehicle；2, compensation device ontology；21, light source；22, image capture device；3, bow net monitoring modular；4, steel
Rail；5, hanger.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Referring to figs. 1 and 2, a kind of vehicle bottom for bow net on-line monitoring provided in an embodiment of the present invention compensates dress
It sets, the compensation device ontology 2 including vehicle bottom is arranged in, compensation device ontology 2 is mounted on the bottom of rail vehicle 1 by hanger 5,
Compensation device ontology 2 is equipped with image capture device 22 and light source 21, which can be visible images and adopt
Collect equipment or infrared image acquiring equipment, when image capture device 22 is infrared image acquiring equipment, light source 21 should also be chosen
Infrared light light source；Light source 21 is radiated at obliquely on rail 4, and irradiation forms longitudinal profile including rail 4 on rail 4
Structure reflected light, that is to say, that the outer contour shape of 4 side of rail can be embodied in structure reflected light, i.e., it is substantially S-shaped；Image
The visual field for acquiring equipment 22 completely or partially covers the structure reflected light, and the acquisition direction of image capture device 22 and rail
4 axial direction is angled therebetween, therefore also substantially S-shaped from the collected structure reflected light of the visual angle of image capture device 22 institute, but
Actual profile compared to I-shaped 4 side of rail is deformed.
The present embodiment additionally provides a kind of vehicle bottom compensation method for bow net on-line monitoring, and this method is, on rail 4
Irradiation forms the structure reflected light including the longitudinal profile of rail 4, acquires structure reflection from the direction to form an angle with rail 4
The image of light finds out the image to match with collected structure reflected light image in image library, by the image to match institute
Corresponding transversal displacement and sidewinder the offset data that offset is monitored on-line as bow net.
In monitoring process, when lateral shift occurs for rail vehicle 1, image capture device 22 and monitored rail 4 it
Between distance change therewith, lateral scaling can also occur for S-shaped structure reflected light accessed by image capture device 22
Deformation；When rail vehicle 1 sidewinders offset, horizontal distance and vertical distance of the image capture device 22 relative to rail 4
Changes will occur, therefore horizontal and vertical contracting can also occur for S-shaped structure reflected light accessed by image capture device 22
Deformation is put, with the change of 1 offset of rail vehicle, image capture device 22 acquires the S-shaped structure reflected light with different view
Also different degrees of deformation can occur.
Image capture device 22 the S-shaped structure reflected light of each collected form can embody rail vehicle 1
A kind of specific posture, and then can determine at this time to bow net monitoring compensating parameter, that is to say, that the S-shaped of every kind of form
Structure reflected light is corresponding with one group of compensating parameter, and the S-shaped structure reflected light of different shape is corresponding with corresponding compensating parameter closes
The acquisition of system and record can also can be obtained by three-dimensional software simulated implementation in 1 actual motion of rail vehicle.Thus
To provide offset data with analysis by the monitoring to S-shaped structure reflected light for the monitoring of bow net geometric parameter.
The present invention can be directly bow net geometric parameter monitoring feedback about car body offset by way of Image Acquisition
Offset data, feedback accuracy is high, and speed is fast, and is not easily susceptible to the influence of the environmental factors such as landform, and stability is strong, is not susceptible to
Failure；And the analysis of vehicle base map picture and processing can share an image processing apparatus with the bow net monitoring modular 3 of roof, therefore
Simplify structure, reduce costs, offset data to the modified response speed of bow net monitoring data faster.
In some embodiments, light source 21 is 21 laser of linear light source, and the light that laser light source 21 issues is concentrated, and brightness is high,
It is possible thereby to make image capture device 22 collect the structure reflected light that rail profile is clear, resolution is high, therefore can be accurate
The S-shaped structure reflected light got under current visual angle.
Further, the Linear Laser that 21 laser of linear light source issues is irradiated along the longitudinal direction of rail 4, and the light that light source 21 issues
Vertical irradiation is to rail 4, therefore no matter what kind of lateral shift compensation device ontology 2 occurs and sidewinder offset, laser light source 21
The structure reflected light that formation is irradiated on rail 4 can keep vertical state, that is to say, that S-shaped structure reflected light itself is always
It will not occur flexible and tilt, the scaling of the collected sigmoid curve of such image capture device 22 institute, which changes, is only dependent upon image
The visual angle change of equipment 22 is acquired, therefore can more accurately feed back the transversal displacement of errant vehicle 1 and sidewinder offset,
And then greatly improve the accuracy of offset data.
In addition, compensation device ontology 2 is preferably higher than the axle of rail vehicle 1, therefore this compensation device will not influence rail
The passage capacity of road vehicle 1.
In some embodiments, top of the image capture device 22 between two sides rail 4, such setting position is not
Will increase the profile of 1 two sides of rail vehicle, and image capture device 22 acquire be rail 4 inside and top side, compared to rail
The outside in road, ambient light photograph is weaker, thus the extraction of structure reflected light influenced by bias light it is lower.
Compensation device ontology 2 is equipped with two groups of image capture devices 22 and light source 21, two groups of image capture devices 22 and light
Source 21 matches with the rail 4 of two sides respectively, i.e. each group of image capture device 22 and the corresponding monitoring side rail 4 of light source 21,
It can be with the rail 4 of Simultaneous Monitoring two sides, therefore when excessively curved, due to bend by two groups of image capture devices 22 and light source 21
Rail spacing is wider than the rail spacing of straight way, and the spacing of image capture device 22 and the siding track positioned at curve inner side can be than usual
It is big, so it will cause biggish errors if feeding back corresponding compensating parameter with this, and just due to synchronous to two sides rail 4
Monitoring, therefore can know that rail spacing at this time is to increase, that is, know and work as front truck by two groups of image capture devices 22
It is excessively curved, eventually by the comprehensive analysis to 22 acquired image of two sides image capture device, can to compensating parameter into
Row amendment, in order to avoid there is large error.
The present embodiment additionally provides a kind of bow net on-line monitoring system, which includes online for bow net as described above
The vehicle bottom compensation device of monitoring can accurately be obtained the offset parameter of vehicle by the compensation device, therefore bow net is supervised
More accurate bow net geometric parameter data can be obtained for survey.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of vehicle bottom compensation device for bow net on-line monitoring, which is characterized in that the compensation device including vehicle bottom is arranged in
Ontology, the compensation device ontology are equipped with image capture device and light source, and the light source is used for the irradiation on rail and forms packet
The structure reflected light of longitudinal profile of the rail is included, the visual field that described image acquires equipment completely or partially covers the structure
Reflected light, and the acquisition direction of described image acquisition equipment and the axial direction of the rail are angled therebetween.
2. the vehicle bottom compensation device according to claim 1 for bow net on-line monitoring, which is characterized in that the light source is
Linear light source laser.
3. the vehicle bottom compensation device according to claim 2 for bow net on-line monitoring, which is characterized in that the linear light source
Longitudinal direction irradiation of the Linear Laser that laser issues along the rail.
4. the vehicle bottom compensation device according to claim 1 for bow net on-line monitoring, which is characterized in that the light source hair
Light vertical irradiation out is to the rail.
5. the vehicle bottom compensation device according to claim 1 for bow net on-line monitoring, which is characterized in that the compensation dress
Set the axle that ontology is higher than rail vehicle.
6. the vehicle bottom compensation device according to claim 1 for bow net on-line monitoring, which is characterized in that described image is adopted
Collect top of the equipment between the rail of two sides.
7. the vehicle bottom compensation device according to claim 6 for bow net on-line monitoring, which is characterized in that the compensation dress
Ontology is set equipped with two groups of image capture devices and light source, two groups of image capture devices and light source the rail phase with two sides respectively
Match.
8. a kind of bow net on-line monitoring system, which is characterized in that be used for bow net including as claimed in any one of claims 1 to 8
The vehicle bottom compensation device of on-line monitoring.
9. bow net on-line monitoring system according to claim 8, which is characterized in that it further include image processing apparatus, it is described
Image processing apparatus is for analyzing and handling bow net image information and the structure reflected light image information.
10. a kind of vehicle bottom compensation method for bow net on-line monitoring, which is characterized in that it includes rail that irradiation, which is formed, on rail
The structure reflected light of longitudinal profile, from the image for acquiring the structure reflected light with the direction that rail forms an angle, in image library
In find out the image to match with collected structure reflected light image, by lateral shift corresponding to the image to match
Measure and sidewinder the offset data that offset is monitored on-line as bow net.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711052259.0A CN109000555A (en) | 2017-10-30 | 2017-10-30 | Vehicle bottom compensation device, system and method for bow net on-line monitoring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711052259.0A CN109000555A (en) | 2017-10-30 | 2017-10-30 | Vehicle bottom compensation device, system and method for bow net on-line monitoring |
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| Publication Number | Publication Date |
|---|---|
| CN109000555A true CN109000555A (en) | 2018-12-14 |
Family
ID=64573119
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711052259.0A Pending CN109000555A (en) | 2017-10-30 | 2017-10-30 | Vehicle bottom compensation device, system and method for bow net on-line monitoring |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113446946A (en) * | 2021-06-24 | 2021-09-28 | 中国铁道科学研究院集团有限公司 | Dynamic compensation method and device for track geometric detection data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102897192A (en) * | 2012-10-18 | 2013-01-30 | 成都唐源电气有限责任公司 | Detection system for urban railway traffic contact rail and detection method thereof |
| US9288374B1 (en) * | 2012-09-10 | 2016-03-15 | Amazon Technologies, Inc. | Systems and methods for updating camera characteristics using a remote computing device |
| CN206420439U (en) * | 2016-12-29 | 2017-08-18 | 江苏新绿能科技有限公司 | Contact net geometric parameter detection means based on machine vision |
| CN107176176A (en) * | 2017-06-27 | 2017-09-19 | 宝鸡中车时代工程机械有限公司 | Subway catenary design with remote control function |
| CN207649543U (en) * | 2017-10-30 | 2018-07-24 | 北京华开领航科技有限责任公司 | Underbody compensation device and system for bow net on-line monitoring |
-
2017
- 2017-10-30 CN CN201711052259.0A patent/CN109000555A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9288374B1 (en) * | 2012-09-10 | 2016-03-15 | Amazon Technologies, Inc. | Systems and methods for updating camera characteristics using a remote computing device |
| CN102897192A (en) * | 2012-10-18 | 2013-01-30 | 成都唐源电气有限责任公司 | Detection system for urban railway traffic contact rail and detection method thereof |
| CN206420439U (en) * | 2016-12-29 | 2017-08-18 | 江苏新绿能科技有限公司 | Contact net geometric parameter detection means based on machine vision |
| CN107176176A (en) * | 2017-06-27 | 2017-09-19 | 宝鸡中车时代工程机械有限公司 | Subway catenary design with remote control function |
| CN207649543U (en) * | 2017-10-30 | 2018-07-24 | 北京华开领航科技有限责任公司 | Underbody compensation device and system for bow net on-line monitoring |
Non-Patent Citations (1)
| Title |
|---|
| 郑锐等: "基于图像处理的振动补偿方法在接触轨检测中的应用", 城市轨道交通研究, no. 1, pages 91 - 94 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113446946A (en) * | 2021-06-24 | 2021-09-28 | 中国铁道科学研究院集团有限公司 | Dynamic compensation method and device for track geometric detection data |
| CN113446946B (en) * | 2021-06-24 | 2023-02-17 | 中国铁道科学研究院集团有限公司 | Dynamic compensation method and device for track geometric detection data |
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