CN105571501A - Brake-shoe detection system and method - Google Patents
Brake-shoe detection system and method Download PDFInfo
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- CN105571501A CN105571501A CN201610074380.2A CN201610074380A CN105571501A CN 105571501 A CN105571501 A CN 105571501A CN 201610074380 A CN201610074380 A CN 201610074380A CN 105571501 A CN105571501 A CN 105571501A
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- image
- brake shoe
- image acquisition
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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
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
Abstract
The embodiment of the invention discloses a brake-shoe detection system and method. The system includes an image acquisition device which is arranged on an image monitoring point and is connected with an image acquisition industrial personal computer through a Gigabit Ethernet interface and is used for acquiring the brake-shoe image of an operating train on the image monitoring point, the image acquisition industrial personal computer which is connected with the image acquisition device and a server and is used for remotely controlling the image acquisition device and transmitting the image acquired by the image acquisition device to the server, and the server which is connected with the image acquisition industrial personal computer and is used for detecting the image transmitted by the image acquisition industrial personal computer so as to judge the abrasion degree of brake-shoes and judge whether the brake-shoes are cracked and damaged. The Brake-shoe detection system and method provided by the implementation of the invention can automatically detect the wear and damage of the brake-shoes of the passing train.
Description
Technical field
The embodiment of the present invention relates to technical field of visual measurement, particularly relates to a kind of brake shoe detection system and method.
Background technology
Railway construction develop rapidly, safety requirements is important foundation.In the face of railway speed increase increasing extent is large, train speed is more and more higher, heavy haul train gets more and more, the requirements at the higher level of mixed running and the high present situation of train density and Leap-forward Development of Railway, guarantee that the task of safety of railway traffic is very arduous.
Railway main office provides high-quality and efficient tractive force guarantee for transportation by railroad, according to " railway locomotive equipment de-sign specification " (TB10004-2008), " Chinese Railway main office is about printing and distributing the notice of instruction strengthened locomotive service capacity and build " of formulating (iron is always transported (2013) No. 90) file, wherein propose about automatically detecting brake shoe thickness, when exceeding warning value or limit value, detection system should carry out the testing requirement of early warning, alarm in time.
Brake shoe is a kind of Tread brake device that current railroad train generally uses, and press tread or video disc by brake shoe and produce powerful friction force and make train braking, therefore, brake block abrasion is serious, changes frequent.In order to traffic safety, railroad checks to manually one by one, but, train One's name is legion, a train even has close to 100 brake shoes, needs a large amount of manpower financial capacity, therefore, need the automatic checkout system setting up management maintenance to detect brake shoe thickness.
Summary of the invention
For above-mentioned technical matters, embodiments provide a kind of brake shoe detection system and method, automatically to detect wearing and tearing through train brake shoe and breakage.
On the one hand, embodiments provide a kind of brake shoe detection system, described system comprises:
Image collecting device, it is arranged on image monitoring point, is connected with image acquisition industrial computer by kilomega network interface, for gathering the brake shoe image of running train on described image monitoring point;
Image acquisition industrial computer, is connected with described image collecting device and server respectively, and for image collecting device described in Long-distance Control, and the image transmitting arrived by described image acquisition device is to described server;
Server, is connected with described image acquisition industrial computer, for detecting the image that described image acquisition industrial computer transmits, to judge the degree of wear of described brake shoe, and whether has crack and breakage.
On the other hand, the embodiment of the present invention additionally provides a kind of brake shoe detection method, and described method comprises:
By being arranged in the brake shoe image of the image acquisition device on image monitoring point through train;
By described brake shoe image uploading to server;
Judged the degree of wear of described brake shoe by described server, and whether have crack and breakage.
The brake shoe detection system that the embodiment of the present invention provides and method, by being laid in the brake shoe image of the image acquisition device on image monitoring point through train, and by image acquisition industrial computer by the image uploading that collects to server, last server is again analyzed the brake shoe image received, and achieves the degree of wear to brake shoe, whether has the automatic detection of crack and breakage.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, other features, objects and advantages of the present invention will become more obvious:
Fig. 1 is the structured flowchart of the brake shoe detection system that first embodiment of the invention provides;
Fig. 2 is the brake shoe image that the brake shoe detection system provided by first embodiment of the invention collects;
Fig. 3 is the process flow diagram of the brake shoe detection method that second embodiment of the invention provides.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not entire infrastructure.
First embodiment
Present embodiments provide a kind of technical scheme of brake shoe detection system.In this technical scheme, on each image monitoring point on rail, placement of images harvester.Described image collecting device can at train through the brake shoe image of out-of-date collection through train, and the brake shoe image collected is transferred to server analysis, to obtain the degree of wear of the train brake shoe of collected image and whether to have crackle, breakage by network connection.
See Fig. 1, described brake shoe detection system comprises: image collecting device 11, image acquisition industrial computer 12 and server 13.
Described image collecting device 11 further comprises: wheel detector 111, PLC112, dual laser device (not shown) and high speed imaging sensor 113.
In the present embodiment, according to the design feature of locomotive brake shoe, be total to design arrangement four image monitoring points, detect the brake shoe of AM/BAM bogie respectively.Image collecting device 11 on each image monitoring point is made up of a high speed imaging sensor 113 and a dual laser device, is installed on the both sides of track respectively.Described high speed imaging sensor 113 Trig control signal comes from wheel detector and PLC112, and can position relationship described in strict guarantee between high speed imaging sensor 113 and brake shoe.
Described wheel detector 111 can detect the process of wheel, and is detecting that wheel is through out-of-date, triggers described high speed imaging sensor 113 gather described brake shoe image by described PLC112.
The image collecting device be arranged in the present embodiment on four image check points shares a PLC112.By described shared PLC112, can realize the precise acquisition through the brake shoe image of vehicle on four image acquisition points.The effect of described PLC112 is specifically, triggers according to the detection signal of described wheel detector 111 image acquisition, the transmission that dual laser device and high speed imaging sensor carry out brake shoe.That is, described PLC112 carries the function of drive control module in described image collecting device 11.
Under the driving of the trigger pip that described dual laser device can send at described wheel detector, send two line-structured lights.Described high speed imaging sensor 113 responds to the line-structured light that described dual laser device sends, and gathers described brake shoe image.
Described high speed imaging sensor 113 selects ROSA series kilomega network camera.ROSA series kilomega network camera is a area array cameras, also i.e. a imaging tool of carrying out image acquisition in units of face, can the complete target image of disposable acquisition.It has measurement image advantage intuitively, in shape, the size of target object, the measurement application of the even aspect such as temperature plays vital imaging effect.
And ROSA series kilomega network camera meets GigEVision1.2 consensus standard, also meets GeniCam1.1 standard simultaneously.ROSA series kilomega network camera low-profile, interface is simple, and compatible with the I/O interface of multiple manufacturer, is user-friendly to.
Described high speed imaging sensor 113 has gigabit networking interface (GigE).Export data by described gigabit networking interface, the transfer rate of 1Gb/s can meet the requirement of native system to high-speed transfer.By network, Long-distance Control can be carried out to video camera, and can easily realize multiple cameras collaborative work, be convenient to system debug and daily servicing.
By above-mentioned hardware circuit and parts, described image collecting device 11 can complete the highly effective gathering to brake shoe image.And, the brake shoe image gathered by described image collecting device 11 has following characteristics: do not have fuzzy (blur), undistorted (tilting), good contrast, good dynamic range, line by line scan, resolution reaches needed for systematic analysis precision, frame rate enough takes the train of high-speed mobile, very high low-light (level) responds and sensitivity, and resistance to extreme meteorological condition.Fig. 2 shows the brake shoe image gathered by described image collecting device 11.
Described image acquisition industrial computer 12 is connected with described image collecting device 11 by network.Preferably, described image acquisition industrial computer 12 is connected with described image collecting device 11 by a switch.By being connected with the network between described image collecting device 11, described image acquisition industrial computer 12 can receive the brake shoe image collected by described image collecting device 11, and further described brake shoe image is forwarded to described server 13.In addition, by being connected with the network between described image collecting device 11, described image acquisition industrial computer 12 can realize the Long-distance Control to described image collecting device 11.
Described server 13 is connected with described image acquisition industrial computer 12 by network.Preferably, described server 13 is connected with described image acquisition industrial computer 12 by a switch.By being connected with the network between described image acquisition industrial computer 12, described server 13 can get described image acquisition industrial computer 12 forward by described image collecting device 11 to brake shoe image.
After getting described brake shoe image, described server 13, by the parsing to described brake shoe image, detects the brake shoe breakdown such as brake shoe thickness, disappearance, end notches automatically.Exceed warning value or limit value once various detected value, described server 13 can carry out early warning, alarm in time.
Concrete, described server 13, by running central line pick-up, the positioning feature point to described brake shoe image, calculates the thickness of described brake shoe, to determine the degree of wear of described brake shoe.Meanwhile, described server is by operation to the rim detection of described brake shoe image and location, and whether detect described brake shoe has crack and breakage.Detection according to above-mentioned two kinds of testing processes was met, and described server determines whether that needs carry out early warning timely, warning.
The present embodiment is by each image monitoring point on rail, placement of images harvester, there is described image acquisition device brake shoe image, and by the brake shoe image uploading that collects to server, whether detected described brake shoe image by server, achieve the degree of wear to brake shoe, have the automatic detection of crack and breakage more respectively.
Second embodiment
Present embodiments provide a kind of technical scheme of brake shoe detection method.In this technical scheme, described brake shoe detection method comprises: by being arranged in the brake shoe image of the image acquisition device on image monitoring point through train; By described brake shoe image uploading to server; Judged the degree of wear of described brake shoe by described server, and whether have crack and breakage.
See Fig. 3, described brake shoe detection method comprises:
S31, by being arranged in the brake shoe image of the image acquisition device on image monitoring point through train.
Described image collecting device is arranged on image acquisition point, is made up of wheel detector, PLC, dual laser device and high speed imaging sensor.Further, described image collecting device has higher image acquisition frame per second, can collect the brake shoe image of the train of high speed process.
S32, by described brake shoe image uploading to server.
Preferably, described image collecting device after collecting described brake shoe image, through image acquisition industrial computer by described brake shoe image uploading to described server.Described image acquisition industrial computer, except forwarding described brake shoe image, can also carry out Long-distance Control to described image collecting device.
S33, is judged the degree of wear of described brake shoe by described server, and whether has crack and breakage.
Preferably, described server to the central line pick-up of brake shoe image and positioning feature point, calculates the thickness of described brake shoe, to determine the degree of wear of described brake shoe by operation.And, described server is also by running Image semantic classification, rim detection and the surperficial edge local of connection, wheel surface edge and brake shoe to brake shoe image, analyze brake shoe with or without obvious crack and breakage, thus realize the degree of wear of described brake shoe, the accurate judgement whether having crack and breakage.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, to those skilled in the art, the present invention can have various change and change.All do within spirit of the present invention and principle any amendment, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a brake shoe detection system, is characterized in that, comprising:
Image collecting device, it is arranged on image monitoring point, is connected with image acquisition industrial computer by kilomega network interface, for gathering the brake shoe image of running train on described image monitoring point;
Image acquisition industrial computer, is connected with described image collecting device and server respectively, and for image collecting device described in Long-distance Control, and the image transmitting arrived by described image acquisition device is to described server;
Server, is connected with described image acquisition industrial computer, for detecting the image that described image acquisition industrial computer transmits, to judge the degree of wear of described brake shoe, and whether has crack and breakage.
2. system according to claim 1, is characterized in that, described image collecting device comprises:
Wheel detector, for detecting on described image monitoring point whether have wheel;
Programmable logic controller (PLC) PLC, is connected with described wheel detector, carries out image acquisition, the transmission of brake shoe for triggering dual laser device and high speed imaging sensor according to the detection signal of described wheel detector;
Dual laser device, is connected with described PLC, for producing structured light under the triggering of described PLC;
High speed imaging sensor, is connected with described PLC, for gathering brake shoe image under the triggering of described PLC.
3. system according to claim 1 and 2, is characterized in that, described high speed imaging sensor is CMOS type imageing sensor.
4. system according to claim 3, is characterized in that, described high speed imaging sensor possesses kilomega network interface.
5. system according to claim 4, is characterized in that, described high speed imaging sensor meets GigEVision1.2 agreement and GeniCam1.1 standard.
6. system according to claim 1 and 2, is characterized in that, described image collecting device is connected with described image acquisition industrial computer is long-range by switch, and described server is also connected with described image acquisition industrial computer by switch.
7. system according to claim 1 and 2, is characterized in that, described server calculates the thickness of described brake shoe by central line pick-up, positioning feature point, to determine the degree of wear of described brake shoe.
8. system according to claim 1 and 2, is characterized in that, described server is by rim detection and location, and whether detect described brake shoe has crack and breakage.
9. a brake shoe detection method, is characterized in that, comprising:
By being arranged in the brake shoe image of the image acquisition device on image monitoring point through train;
By described brake shoe image uploading to server;
Judged the degree of wear of described brake shoe by described server, and whether have crack and breakage.
10. method according to claim 9, is characterized in that, described server determines the degree of wear of described brake shoe by central line pick-up, positioning feature point, and whether has crack and breakage by brake shoe described in rim detection and detection and localization.
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CN201610074380.2A CN105571501A (en) | 2016-02-02 | 2016-02-02 | Brake-shoe detection system and method |
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CN201610074380.2A CN105571501A (en) | 2016-02-02 | 2016-02-02 | Brake-shoe detection system and method |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108507472A (en) * | 2018-03-19 | 2018-09-07 | 江南大学 | A kind of safe automobile air bag strip of paper used for sealing size non-contact vision detection method |
CN114593681A (en) * | 2020-12-07 | 2022-06-07 | 北京格灵深瞳信息技术有限公司 | Thickness measuring method, thickness measuring apparatus, electronic device, and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201016002Y (en) * | 2006-12-26 | 2008-02-06 | 曹亮 | Structural light recognizing railway vehicle fittings application state test apparatus |
CN101246090A (en) * | 2008-02-01 | 2008-08-20 | 大连交通大学 | Image monitoring method and device for fatigue test of brake-regulating machine |
CN102937413A (en) * | 2012-11-21 | 2013-02-20 | 西南交通大学 | Brake shoe abrasion detection device based on image processing technology |
CN104457596A (en) * | 2014-12-18 | 2015-03-25 | 成都铁安科技有限责任公司 | Train brake pad abrasion detection method |
CN104482865A (en) * | 2014-12-18 | 2015-04-01 | 北京安铁软件技术有限公司 | Method and system for brake thickness detection |
-
2016
- 2016-02-02 CN CN201610074380.2A patent/CN105571501A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201016002Y (en) * | 2006-12-26 | 2008-02-06 | 曹亮 | Structural light recognizing railway vehicle fittings application state test apparatus |
CN101246090A (en) * | 2008-02-01 | 2008-08-20 | 大连交通大学 | Image monitoring method and device for fatigue test of brake-regulating machine |
CN102937413A (en) * | 2012-11-21 | 2013-02-20 | 西南交通大学 | Brake shoe abrasion detection device based on image processing technology |
CN104457596A (en) * | 2014-12-18 | 2015-03-25 | 成都铁安科技有限责任公司 | Train brake pad abrasion detection method |
CN104482865A (en) * | 2014-12-18 | 2015-04-01 | 北京安铁软件技术有限公司 | Method and system for brake thickness detection |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108507472A (en) * | 2018-03-19 | 2018-09-07 | 江南大学 | A kind of safe automobile air bag strip of paper used for sealing size non-contact vision detection method |
CN114593681A (en) * | 2020-12-07 | 2022-06-07 | 北京格灵深瞳信息技术有限公司 | Thickness measuring method, thickness measuring apparatus, electronic device, and storage medium |
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Application publication date: 20160511 |