CN100577488C - Method for on-line monitoring running state of high speed strain - Google Patents
Method for on-line monitoring running state of high speed strain Download PDFInfo
- Publication number
- CN100577488C CN100577488C CN200510033563A CN200510033563A CN100577488C CN 100577488 C CN100577488 C CN 100577488C CN 200510033563 A CN200510033563 A CN 200510033563A CN 200510033563 A CN200510033563 A CN 200510033563A CN 100577488 C CN100577488 C CN 100577488C
- Authority
- CN
- China
- Prior art keywords
- wheel
- rail
- laser displacement
- laser
- running state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Abstract
The invention discloses a kind of method for on-line monitoring running state of high speed strain, in the bilateral symmetry of every rail two laser displacement detectors are set, each laser detector is positioned on the same axis; The laser that laser detector sends projects train wheel obliquely from the bottom side of rail, laser detector scanning detects and draws the train wheel end face to laser detector distance and side-play amount thereof, and the industrial computer that is transferred to behind the high-speed data acquisition (HSDA) treatment circuit in the detecting test station writes down, analyzes, shows; With distance between the adjacent wheel shaft is the interval, and the bilateral symmetry at every rail is provided with two detectors again, detects the synchronous shift information of four wheels of same bogie truck, realizes the online detection of train bogie truck rotating torque.The present invention as monitoring target, really realizes the real-time detection of running state at high-speed motion with the wheel rail dynamics parameter of vehicle, for safety of railway traffic provides effective technical guarantee, has crucial social benefit.
Description
Technical field
The present invention relates to a kind of method for on-line monitoring running state of high speed strain.
Background technology
In recent years for adapting to railway high speed, heavily stressed development need, the new and high technology of many maturations is used widely in railway, such as satellite positioning tech, two, three generations's infrared axle temperature detection technology, various inspection techniques, bearing fault Dynamic Non-Destruction Measurement, on-site noise are analyzed or the like, are all guaranteeing to have brought into play vital function aspect the traffic safety.At present, domestic rolling stock on-line detecting system measuring ability mainly contains:
● ATIS;
● the flat wheel of wheel tread detects-differentiates automatically the flat wheel of the tread fault by vehicle;
● infrared axle temperature detects-and to differentiate bearing temperature automatically unusual;
● vehicle wheel load and super unbalance loading detect;
This class technical equipment is shaped in the road substantially, and progressively finds application.The configuration of external vehicle security apparatus and to the online detection of vehicle safety all for the such consideration of passenger's personal safety first.Abroad early, in the online detection this respect of railway security research starting radical function equipment as:
● the automatic monitor for continuously diagnostic system of track and equipment;
● the rolling stock safety performance parameter monitoring system that vehicle-mounted and road is other;
● real-time wheel diagnosis system comprises: wheel flat, lose circle, attachment, reach the detection of dynamic of load; Wheel is to size detection; Take turns right dynamic carrying out flaw detection;
● the online detection of train brake block abrasion;
● the vehicle identification checking system.
● the infrared journal temperature detection system is the generation that prevents to fire the axle, cut serious accidents such as axle.
But the comprehensive equipment of vehicle online measuring technique both at home and abroad all has the following disadvantages:
● be subjected to the restriction of field condition and measurement technique, what most of measurement technique was taked is to measure indirectly but not direct measuring, adopt axle temperature or sound intensity detection technique, flat wheel detection employing shock measurement technology etc. as bearing fault, though physical quantity and the vehicle trouble measured have stronger correlativity, but owing to be not the direct measurement of primitive character, be subjected to the influence of sensor responding system and test environment bigger, be difficult to really possess quantitation capabilities, the encashment ratio of failure prediction is on the low side;
● existing measurement technique is subjected to the restriction of tested condition bigger, running velocity particularly, be limited to 120km/h on the infrared measure of axle-temperature speed of a motor vehicle, and flat wheel detector should be used below 70km/h, these equipment all are difficult to be applied to the detection of high speed train, and the response under the low speed incentive condition is to reflect that the system architecture under high frequency, the high strength incentive condition responds, and that is to say that existing technical equipment can not detect the real running state of high speed train in the structural dynamics proof;
● the know-why of existing technical equipment, product function, equipment are often one to one, a detection technique will realize by an equipment, causes equipment scale huge, makes troubles for application and daily attention, the system integration is the equipment aspect, but not the principle aspect.
Summary of the invention
The object of the present invention is to provide the method for on-line monitoring running state of high speed strain of a kind of wheel rail dynamics parameter with vehicle, really realize the condition monitoring in the train high-speed cruising process as monitoring target.
Purpose of the present invention can realize by following technical measures: the bilateral symmetry at every rail is provided with two laser displacement detectors, and each laser displacement detector is positioned on the same axis; The laser that the laser displacement detector sends projects train wheel obliquely from the bottom side of rail, the laser displacement detector scanning detects and draws the train wheel end face to laser displacement detector distance and side-play amount thereof, is transferred to industrial computer record, analysis, demonstration in the detecting test station behind the high-speed data acquisition (HSDA) treatment circuit; With distance between the adjacent wheel shaft is the interval, and the bilateral symmetry at every rail is provided with two laser displacement detectors again, and the laser displacement detector of setting up also is positioned on the same axis; The laser displacement detector detects the synchronous shift information of four wheels of the same bogie truck of adjacent wheel shaft separately, realizes the online detection of train bogie truck rotating torque.
Laser detector scanning detects and draws the train wheel end face to the laser detector distance, the location information that once obtains is directly related with wheel profile and athletic posture thereof, and the single order of displacement signal and second derivative are the speed and the acceleration/accel of wheel movement, when train wheel breaks down (as flat wheel of tread or bearing fault), sudden change will appear in displacement signal, and promptly its speed or acceleration signal will present significant change.That is to say at laser detector and detect on the basis of displacement information, kinetic parameter analysis by wheel movement just can realize the wheel Fault Diagnosis, directly on wheel, obtain owing to information simultaneously, transmission link in the middle of default, therefore this fault diagnosis technology can be realized quantitative forecast.
Described each laser detector is made up of LASER Light Source, photopotential dependent sensor and imaging len; Photopotential dependent sensor and imaging len are positioned on the optical axis of these lens by its imaging relations, LASER Light Source projects train wheel from 25 ° obliquely～40 ° angles, bottom side of rail, LASER Light Source obtains the displacement information of high precision, high frequency sound through the photopotential dependent sensor that the train wheel catoptric imaging arrives by subsequent conditioning circuit.
Described high-speed data acquisition (HSDA) treatment circuit is taked the mode of three grades of concurrent processings, the sequential of extensive programmable gate array (CPLD) control high-speed data acquisition (HSDA), high speed numerical processor (DSP) carries out pretreatment to original signal, and central process unit (CPU) is finished data communication and module working state administration.
The present invention is by being provided with two wheel sensores at interval on rail, the utilization electromagnetic induction principle, when wheel passes through wheel sensor, to produce an impulse singla, two pulse time differences that produce by two wheel sensores can be predicted running velocity continuously, thereby realize the control to laser displacement detector and data acquisition system.
In the normal uniform movement process, act on four wheels of same bogie truck to make a concerted effort be 0, synthetic rotating torque also is 0, but at bogie structure unusual (distortion or irregular wear etc.), wheel dimensional parameters is cooperated under the situation of overproof, bearing or tread fault, the same group of instantaneous resultant moment of bogie truck is not 0 just.
The rotating torque detection model under the prerequisite of hypothesis same steering framing wheel heavy phase etc., by the synthesis analysis to four wheel displacement vectors and velocity vector, just can obtain the direction and the size of same bogie truck resultant moment as shown in Figure 1.
Be to realize the continuous detecting of vehicle and accurately forecast, set up wheel data bank, vehicle wheel to life cycle in its important technical parameter all among data bank, utilize RF identification (RFID) technology, set up vehicle wheel to identify label.Storage wheel is fixed on the train bottom to the electronic tag of numbering and important maintenance and running state information, radio-frequency antenna is installed in the centre of two rails, apart from laser detector 15～20 meter amperes dress, card reader connects in system database by the license number identification main frame at detecting test station scene.Like this for the wheel in a certain interval to abnormity early warning information, can notify next interval emphasis tracking and monitoring, in main interval, can directly failure message be write electronic tag, and the notice dispatching system arranges fault to dispose and maintenance schedule.
Since adopt high frequency sound, high-resolution laser displacement detecting, high-speed signal acquisition and data handing, and realization high speed train tread is put down and is taken turns, bearing is unusual, the on-line monitoring of rotating torque, realizes taking turns quantitative measurment and accurate pre-alarm to the major failure form; Realize the quantitative forecast of flat wheel of tread and bearing fault, realized the on-line monitoring of the real-time rotating torque of high speed train.The real real-time detection that realizes running state at high-speed motion for safety of railway traffic provides effective technical guarantee, has crucial social benefit.
Different with the existing car number identification system of present railway systems, car number identification system only is identified to vehicle, is applied to vehicle scheduling, and wheel is paid close attention to the right running state of wheel to identifying more refinement; The information of car number identification system is unidirectional, only read in, and state recognition information of the present invention is beidirectional (can read in real time and write), really realizes the real-time electronic information system management.
Description of drawings
Fig. 1 is the rotating torque detection model;
Fig. 2 is the erection plan of laser detector on rail;
Fig. 3 is the imaging optical path figure of laser detector;
Fig. 4 is a high-speed data acquisition (HSDA) treatment circuit functional block diagram;
Fig. 5 is the connection block diagram of the device of realization the inventive method.
The specific embodiment
As Fig. 2, shown in Figure 3, in the bilateral symmetry of every rail two laser displacement detectors are set, each laser detector is positioned on the same axis; Described each laser detector is made up of LASER Light Source, photopotential dependent sensor and imaging len; Photopotential dependent sensor and imaging len are positioned at by its imaging relations on the optical axis of these lens, and LASER Light Source projects train wheel in 36 ° of angles, the photopotential dependent sensor that LASER Light Source arrives through the train wheel catoptric imaging obliquely from the bottom side of rail.Laser detector is installed in the box, and the laser that laser detector sends projects train wheel obliquely from the bottom side of rail, and laser detector scanning detects and draws the train wheel end face to laser detector distance and side-play amount thereof.
At first the sensor adjusting device is connected with rail by binding bolt in rail foot, with on the excessive piece adjusting device platform, laser detector is installed on the excessive piece then.Finish and just can adjust and demarcate the mounting structure parameter after laser detector is installed by caliberating device.
With distance between the adjacent wheel shaft is the interval, and the bilateral symmetry at every rail is provided with two detectors again, and each detector is positioned on the same axis; Detector detects the synchronous shift information of (the same bogie truck) of four wheels of adjacent wheel shaft separately, realizes the online detection of train bogie truck rotating torque.
By two wheel sensores are set on rail at interval, the utilization electromagnetic induction principle, when wheel passes through wheel sensor, to produce an impulse singla, two pulse time differences that produce by two wheel sensores can be predicted running velocity continuously, thereby realize the control to laser detector and data acquisition system.
The pulse time that wheel sensor produces is respectively t1, t2, and distance be d, and then running velocity is v=d/ (t2-t1), the delay time t3 that just can technology samples, sampling time length t4.
The high-speed data acquisition (HSDA) treatment circuit is taked the mode of three grades of concurrent processings, as shown in Figure 4, data acquisition processing circuit mainly comprises the extensive programmable gate array (CPLD) that is used to control the high-speed data acquisition (HSDA) sequential, be used for original signal is carried out pretreated high speed numerical processor (DSP), finish the central process unit (CPU) of data communication and module working state administration.Module has the ability of 4 tunnel high-speed data acquisition (HSDA)s, and concrete technical parameter is as follows:
● passage frequency response: 600kHz is (3dB)
● channel gain error≤0.001
● passage phase shift difference≤0.1 °
● passage signal to noise ratio≤10mv (peak-peak)
● single channel AD acquisition rate: 10M/s
● single channel metadata cache: 1M (16bit)
●AD：14bit，±2.5v，10MHz
● DSP:TMS320VC5402, dominant frequency 200MHz
● dynamic range of signals: 30dB
● communication interface: RS485
Behind the high-speed data acquisition (HSDA) treatment circuit, be transferred to industrial computer record, analysis, demonstration in the detecting test station.
Be to realize the continuous detecting of vehicle and accurately forecast, set up wheel data bank, vehicle wheel to life cycle in its important technical parameter all among data bank, utilize RF identification (RFID) technology, set up vehicle wheel to identify label.Storage wheel is fixed on the train bottom to the electronic tag of numbering and important maintenance and running state information, radio-frequency antenna is installed in the centre of two rails, apart from laser detector 15～20 meter amperes dress, card reader connects in system database by the license number identification main frame at detecting test station scene.Like this for the wheel in a certain interval to abnormity early warning information, can notify next interval emphasis tracking and monitoring, in main interval, can directly failure message be write electronic tag, and the notice dispatching system arranges fault to dispose and maintenance schedule.
As shown in Figure 5, make the systematization of high speed train state monitoring apparatus, realized the quantitative forecast of flat wheel of tread and bearing fault, realized the on-line monitoring of the real-time rotating torque of high speed train with this method.W1, W2 are wheel sensor in the system construction drawing, M1～M8 is a laser detector, RF is the license number identification aerial, these rail limits sensors constitute search coverages, when train by the time system enter the real-time data acquisition state, by the work schedule of W1, W2 control system, acquisition station is made of front end processor and industrial computer, finish acquisition of signal and data analysis, analysis result connects the control of access central database through network, finishes failure analysis, forecast and processing.
Claims (3)
1, a kind of method for on-line monitoring running state of high speed strain is provided with two laser displacement detectors in the bilateral symmetry of every rail, and each laser displacement detector is positioned on the same axis; The laser that the laser displacement detector sends projects train wheel obliquely from the bottom side of rail, the laser displacement detector scanning detects and draws the train wheel end face to laser displacement detector distance and side-play amount thereof, is transferred to industrial computer record, analysis, demonstration in the detecting test station behind the high-speed data acquisition (HSDA) treatment circuit;
It is characterized in that with distance between the adjacent wheel shaft be the interval, the bilateral symmetry at every rail is provided with two laser displacement detectors again, and the laser displacement detector of setting up also is positioned on the same axis; The laser displacement detector detects the synchronous shift information of four wheels of the same bogie truck of adjacent wheel shaft separately, realizes the online detection of train bogie truck rotating torque.
2, a kind of method for on-line monitoring running state of high speed strain according to claim 1, it is characterized in that described high-speed data acquisition (HSDA) treatment circuit takes the mode of three grades of concurrent processings, extensive programmable gate array is the sequential of CPLD control high-speed data acquisition (HSDA), high speed numerical processor is that DSP carries out pretreatment to original signal, and central process unit is that CPU finishes data communication and module working state administration.
3, a kind of method for on-line monitoring running state of high speed strain according to claim 1, it is characterized in that on rail, being provided with at interval two wheel sensores, when wheel passes through wheel sensor, to produce an impulse singla, two pulse time differences that produce by two wheel sensores can be predicted running velocity continuously, thereby realize the control to laser displacement detector and data acquisition system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200510033563A CN100577488C (en) | 2005-03-16 | 2005-03-16 | Method for on-line monitoring running state of high speed strain |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200510033563A CN100577488C (en) | 2005-03-16 | 2005-03-16 | Method for on-line monitoring running state of high speed strain |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1693125A CN1693125A (en) | 2005-11-09 |
| CN100577488C true CN100577488C (en) | 2010-01-06 |
Family
ID=35352298
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200510033563A Expired - Fee Related CN100577488C (en) | 2005-03-16 | 2005-03-16 | Method for on-line monitoring running state of high speed strain |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100577488C (en) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101376394B (en) * | 2007-08-30 | 2011-02-16 | 北京佳讯飞鸿电气股份有限公司 | Vehicle derailing early warning method based on steel rail deformation / stress parameters |
| CN101607565B (en) * | 2008-06-16 | 2013-06-19 | 唐德尧 | Ground on-line monitoring device and ground on-line monitoring method for steel rail cracks |
| CN101954916B (en) * | 2010-09-06 | 2012-04-18 | 耿直 | Track on-line monitoring method and track on-line monitoring system |
| CN102880086B (en) * | 2012-10-22 | 2015-02-04 | 北京航空航天大学 | Device and method for controlling dynamic measurement of geometric parameters of train wheel set |
| CN103448755B (en) * | 2013-05-28 | 2016-01-20 | 武汉钢铁(集团)公司 | Rail locomotive operational monitoring diagnostic method and system |
| CN105329258B (en) * | 2015-11-20 | 2017-03-15 | 重庆微标科技股份有限公司 | It is applied to signal acquisition circuit, the apparatus and system of magnet steel on-line fault diagnosis |
| CN105865788A (en) * | 2016-04-07 | 2016-08-17 | 成都铁安科技有限责任公司 | Array acoustic detection method for train bearing defect online monitoring |
| CN106289823B (en) * | 2016-10-11 | 2019-02-15 | 南京拓控信息科技股份有限公司 | A kind of locomotive serpentine locomotion detection system and its detection method |
| CN107719413B (en) * | 2017-10-10 | 2019-03-22 | 上海应用技术大学 | Railway wheelset tyre tread fault detection means and method based on magnetic memory detection technology |
| CN109889988B (en) * | 2017-12-06 | 2022-05-24 | 北京亿阳信通科技有限公司 | Method and device for analyzing network condition based on subway scene communication record |
| CN108507807A (en) * | 2018-05-22 | 2018-09-07 | 中国铁道科学研究院铁道建筑研究所 | Detection method, the device and system of track |
| CN109050575B (en) * | 2018-06-27 | 2020-01-14 | 广州市奥特创通测控技术有限公司 | Data integration acquisition method in online movement of train wheels |
| CN109696123A (en) * | 2018-12-29 | 2019-04-30 | 广州微易轨道交通科技有限公司 | Vehicle critical component morpheme detection method based on line laser detection technique |
| CN110457966B (en) * | 2019-07-05 | 2024-04-09 | 郑州铁总智能科技有限公司 | Intelligent marking plate information management system for railway vehicle axle |
| CN110626380B (en) * | 2019-09-19 | 2020-08-11 | 中铁第四勘察设计院集团有限公司 | Motor train unit positive line detection method |
-
2005
- 2005-03-16 CN CN200510033563A patent/CN100577488C/en not_active Expired - Fee Related
Non-Patent Citations (2)
| Title |
|---|
| 射频识别技术及其在铁路轮对检修中的应用. 郑均昶，马敏书.现代计算机，第11期. 2001 |
| 射频识别技术及其在铁路轮对检修中的应用. 郑均昶，马敏书.现代计算机，第11期. 2001 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN1693125A (en) | 2005-11-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100577488C (en) | Method for on-line monitoring running state of high speed strain | |
| CN100396529C (en) | Online detection mthod and device for train wheel pair size | |
| CN111257415B (en) | Tunnel damage detection management system based on mobile train vibration signal | |
| CN103322936B (en) | Wheelset profile on-line monitoring method | |
| CN108928366A (en) | A kind of 5T comprehensive detection system and detection method | |
| CN105675101A (en) | OBD-based vehicle quality dynamic measuring device and measuring method | |
| CN105923014B (en) | A kind of track transition Amplitude Estimation method based on evidential reasoning rule | |
| CN107554558A (en) | Running mechanism of train portion safety detection prewarning apparatus | |
| CN102874278A (en) | Vehicle-mounted detection method fusing vehicle speed information and axle box vertical acceleration information for wheel flats | |
| CN109050575B (en) | Data integration acquisition method in online movement of train wheels | |
| CN109278796A (en) | A kind of vehicular wheel out of round degree detection system | |
| Hoelzl et al. | On-board monitoring for smart assessment of railway infrastructure: A systematic review | |
| CN109903558A (en) | A kind of road and bridge vehicular load monitoring system and monitoring method | |
| Kundu et al. | A review on condition monitoring technologies for railway rolling stock | |
| Lan et al. | Experimental study on wayside monitoring method of train dynamic load based on strain of ballastless track slab | |
| CN210591925U (en) | Axle box vibrating wheel diameter difference detection system | |
| Zeng et al. | Reconstruction of vehicle-induced vibration on concrete pavement using distributed fiber optic | |
| Siddiqui et al. | IoT Based Railway Track Faults Detection and Localization Using Acoustic Analysis | |
| Brzozowski et al. | A weigh-in-motion system with automatic data reliability estimation | |
| Bhardwaj et al. | Signal feature extraction and combination to enhance the detection and localization of railroad track irregularities | |
| Karimpour et al. | A novel method in light-rail condition monitoring using smartphones | |
| CN104501929A (en) | Vehicle strain weighing system | |
| CN114674458A (en) | Temperature detection method, device and system of magnetic suspension train and server | |
| RU2749559C1 (en) | Method and layout scheme for identifying a rail transport wheel | |
| Pîrvan et al. | Infrastructure independent rail quality diagnosis and monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| ASS | Succession or assignment of patent right |
Owner name: AOTE CHUANGTONG MEASURE CONTROL TECHNOLOGY CO., L Free format text: FORMER OWNER: KESITONG TECHNOLOGY CO., LTD., GUANGZHOU CITY; APPLICANT Effective date: 20080222 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20080222 Address after: Guangzhou City, Guangdong province martyrs Road No. 102, room 1707, Hua Sheng Building, 1705 north tower post encoding: 510095 Applicant after: Kesitong Technology Co., Ltd., Guangzhou Address before: Postal code 703, 60 high tech Road, Gaotang New District, Guangzhou, Guangdong, Tianhe District, China Post Code: 510520 Applicant before: Guangzhou Ke Shi Tong Technology Co., Ltd. Co-applicant before: SHANGHAI FUDAN UNIVERSITY SCIENCE PARK CO., LTD. |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20100106 Termination date: 20200316 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |