CN203144853U - Full-automatic precision monitoring device for geometric parameter variation - Google Patents
Full-automatic precision monitoring device for geometric parameter variation Download PDFInfo
- Publication number
- CN203144853U CN203144853U CN 201320011127 CN201320011127U CN203144853U CN 203144853 U CN203144853 U CN 203144853U CN 201320011127 CN201320011127 CN 201320011127 CN 201320011127 U CN201320011127 U CN 201320011127U CN 203144853 U CN203144853 U CN 203144853U
- Authority
- CN
- China
- Prior art keywords
- track
- full
- vertical displacement
- monitoring
- rail
- 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 - Lifetime
Links
Images
Landscapes
- Machines For Laying And Maintaining Railways (AREA)
Abstract
The utility model discloses a full-automatic precision monitoring device for geometric parameter variation. A pair of rail monitoring points (10) is arranged on rails (1) at each certain interval, a horizontal displacement sensor (4) and a perpendicular displacement sensor (5) transmit rail geometric parameter variation data acquired from the monitoring points to an indoor controller through a data transmitter, data acquiring and analyzing processing software reflects the rail parameter variation on a screen in a real-time variation process curve chart, and acquired data are automatically stored into a database. Compared with conventional rail detecting methods, unattended operation and full automation of monitoring of rail parameters are realized, frequent on-rail measurement of operators is avoided, potential personal safety hazards are reduced, and any safety accidents are eliminated. Besides, the full-automatic precision monitoring device has the advantages of all-weather application, full automation, intelligentization, high precision and the like, monitoring level of railway construction environment and lines is enhanced, labor intensity is reduced, operation efficiency is improved, and variation of geometric rail state parameters of railways can be remotely monitored.
Description
Technical field
The utility model belongs to the orbit measurement technical field, and what relate generally to is the device that full-automatic accurate monitoring orbit geometry parameter changes.
Background technology
Track is the infrastructure of railways train operation, directly bears pressure, impact and vibrations that rolling stock transmits, and it is passed to sleeper.Because the interaction of train and track will certainly cause the continuous variation of track geometry, this variation is the track geometry irregularity, can influence comfortableness and the safety of train fast running conversely again.Therefore, need monitor orbit geometry parameter at any time and change, and the geometric parameter of weighing the track ride comfort mainly comprises: gauge, rail to, just, superelevation, distortion etc.At present, to track ride comfort monitoring of geometric parameters, common ballasted track is manually to draw the string of a musical instrument to carry out rail to detection by veteran workman, track gauge detection level and gauge, the trackwalker carries out railway spike and other defect inspections, and this detection exists the manual detection precision low, and working strength is big, length consuming time, and the drawback that increases at railway on-line operation danger coefficient.The high ferro track then is (to be called for short rail inspection instrument by track control net, intelligent total powerstation and track geometry status measuring instrument, also be track detection car) measurements and calculations come out, though this detection accuracy of detection height, but its apparatus expensive, detect length consuming time, and need high-grade control net, personnel increase at the danger coefficient of railway on-line operation.If the above-mentioned ride comfort index of track does not reach the requirement of driving, then need track is accurately adjusted, make it satisfy the requirement of driving.
But, when running into when needing the built on stilts strengthening construction of rail track, traditional hand inspection comprises detection methods such as machinery, electronic circuit somascope, can only the line conditions when checking record and analyze, if reach train time inspection requirement, then need be equipped with the great amount of manpower resource, and the adding of human factor will certainly cause the uncertain of check result and increase the insecurity of on-line operation; And the high ferro aspect, by intelligent total powerstation and track detection car measurements and calculations, though can reach the monitoring purpose, length consuming time, labour intensity is big, and the conditional request height of working time can not be realized round-the-clock, full-automatic detection.Therefore, demand inventing the round-the-clock system that carries out the track condition monitoring automatically of a kind of energy urgently.
Summary of the invention
In view of the shortcoming of above-mentioned conventional method, the device that the utility model provides a kind of full-automatic accurate monitoring orbit geometry parameter to change reaches effectively and increases work efficiency, and reduces labour intensity, realizes the purpose that how much state parameters of remote monitoring railroad track change.Have the characteristics round-the-clock, full-automatic, intelligent, that precision is high.
The utility model realizes that the technical scheme that above-mentioned purpose is taked is: it is that the pair of tracks monitoring point is set in orbit at a certain distance that a kind of full-automatic accurate monitoring orbit geometry parameter changes, by horizontal displacement sensors and vertical displacement sensor the orbit geometry parameter delta data of gathering from the monitoring point is transferred to indoor controller by the transfer of data instrument, the data collection and analysis process software is reflected in the form that the parameter of track changes with real-time deformation conditional curve figure on the screen, and deposits the data of gathering in database automatically.
Track described in the utility model monitoring point arranges a pair of in orbit every 4-8m, all be positioned at the bottom of track, and two monitoring points that are in same cross section are perpendicular to line midline.
The device that full-automatic accurate monitoring orbit geometry parameter described in the utility model changes is connecting reinforcement on the crossbeam of described track, make the both sides of every pair of monitoring point on the described track all be welded with fixedly connected reinforcing bar, horizontal displacement sensors and vertical displacement sensor are fixed on this reinforcing bar, the horizontal movement gauge head is connected by horizontal movement measuring staff and horizontal displacement sensors, and the horizontal movement gauge head is positioned at the bottom of track and contacts with track; The vertical displacement gauge head is connected with the vertical displacement sensor by the vertical displacement measuring staff, and the vertical displacement gauge head is positioned at the bottom surface of track and contacts with track.
Horizontal displacement sensors described in the utility model and vertical displacement sensor are resistance sensor.
Horizontal displacement sensors described in the utility model and vertical displacement sensor are fixed on the reinforcing bar by welding or bolted mode.
The utility model is owing to arrange the pair of tracks monitoring point in orbit at a certain distance, by horizontal displacement sensors and vertical displacement sensor the orbit geometry parameter delta data of gathering from the monitoring point is transferred to indoor controller by the transfer of data instrument, the data collection and analysis process software is reflected in the form that the parameter of track changes with real-time deformation conditional curve figure on the screen.And with the data of gathering deposit in automatically database for inquire about, back up, delete, empty, operation such as rejecting abnormalities data.Automatically calculate gauge, superelevation, rail to the variable quantity of, distortion and height by the data in real time of real-time collection; According to working condition requirement and monitoring limit difference early warning is set, and in real time abnormal data is reported to the police.
The track detection method that the utility model is traditional relatively, make the monitoring of railroad track parameter realize the unmanned full-automation, thereby avoid the frequent upper track of personnel to measure, reduced the personal safety hidden danger of this respect, stop to take place any security incident, obtain maximum economic benefits, and has round-the-clock, full-automatic, intelligent, precision advantages of higher, construction of railways environment and path monitoring level have been improved, reduced labour intensity, improve operating efficiency, realized the variation of how much state parameters of remote monitoring railroad track.
Description of drawings
Fig. 1 is the utility model horizontal displacement monitoring sensor scheme of installation.
Fig. 2 is the utility model vertical displacement monitoring sensor scheme of installation.
Fig. 3 is that the laying floor map is installed in the utility model track geometry status monitoring point.
Among the figure: 1, track, 2, horizontal movement probe, 3, the horizontal movement measuring staff, 4, horizontal displacement sensors, 5, the vertical displacement sensor, 6, crossbeam, 7, the vertical displacement probe, 8, the vertical displacement measuring staff, 9, reinforcing bar, 10, the monitoring point.
The specific embodiment
The utility model is described in further detail below in conjunction with drawings and Examples, but the utility model does not limit to following examples.
The described full-automatic accurate monitoring of present embodiment orbit geometry parameter changing method comprises the monitoring of horizontal movement, monitoring and data acquisition transmission and the processing of vertical displacement.
As Figure 1-3, the monitoring of horizontal movement be along track 1 vertically at a certain distance d pair of tracks monitoring point 10 is set, present embodiment is every 4-8m pair of tracks monitoring point 10 to be set.The calculating benchmark of " railway repair compile rule " regulation be rail to height all be as computing unit with the 10m chord length, distortion is long as calculating base with 6.25m, selecting 4-8m to be convenient to interpolation calculates, the mean level displacement transducer is laid and is advisable with spacing 5m, and the vertical displacement sensor is laid and is advisable with 6.25m.Monitoring point 10 all is positioned at the bottom of track 1, is used for the monitoring horizontal movement, and two monitoring points 10 that are in same cross section should be perpendicular to line midline, measures the gauge that distance between every pair of monitoring point 10 is this section part accurately with track gauge.Described monitoring point 10 comprises horizontal displacement sensors 4, horizontal movement gauge head 2, horizontal movement measuring staff 3 and vertical displacement sensor 5, vertical displacement gauge head 7, vertical displacement measuring staff 8.What prosposition displacement sensor 4 and vertical displacement sensor 5 adopted is resistance sensor, and model is: RD-50A.Fixed form is: by being welded to connect reinforcing bar 9 at crossbeam 6, it is fixing to make the both sides of every pair of monitoring point 10 on the track 1 all be welded with fixedly connected reinforcing bar 9, then horizontal displacement sensors 4 is fixed on the reinforcing bar 9 by welding or bolted mode, horizontal movement gauge head 2 is connected by horizontal movement measuring staff 3 and horizontal displacement sensors 4, horizontal movement gauge head 2 is positioned at the bottom of track and contacts with track, its effect is the contact surface that adds large sensor, is convenient to monitoring vertical displacement.In the time of the occurred level displacement, when train passes through, the horizontal movement probe 2 of contact track 1 bottom and horizontal movement measuring staff 3 are along with the displacement of track is flexible, horizontal displacement sensors 4 influences the resistance value of Inside coil by the mechanical-stretching of end horizontal displacement probe 3, thereby makes acquisition module sense the variation of voltage.Can learn displacement through a series of processing such as transfer of data instrument.
Shown in Fig. 2-3, the vertical displacement monitoring is below each horizontal displacement sensors 4 at 10 positions, above-mentioned monitoring point vertical displacement sensor 5 to be set, each vertical displacement sensor 5 after the fixed distance, is convenient to the contrast in later stage and early stage to the fixed distance of crossbeam 6.Fixed form is: utilize horizontal displacement monitoring at the fixedly connected reinforcing bar 9 of crossbeam 6 welding, 5 welding of vertical displacement sensor or bolt are connected on the reinforcing bar 9, vertical displacement gauge head 7 is connected with vertical displacement sensor 5 by vertical displacement measuring staff 8, and vertical displacement gauge head 7 is positioned at the bottom surface of track 1 and contacts with track.When vertical displacement took place, vertical displacement sensor 5 influenced the resistance value of Inside coil by the mechanical-stretching of end vertical displacement probe 7 and vertical displacement measuring staff 8, thereby makes acquisition module sense the variation of voltage.Can learn displacement through a series of processing such as transfer of data instrument.
Data acquisition transmission and processing: the 10 orbit geometry parameter delta datas of gathering are transferred to indoor controller by the transfer of data instrument from the monitoring point for horizontal displacement sensors 4 and vertical displacement sensor 5, and the data collection and analysis process software will be reflected in the situation of change of the parameter variation of track on the screen with the form of real-time deformation conditional curve figure.Data acquisition and process software can arrange multiple metering system flexibly, support spot measurement, multiple spot to patrol survey, regularly measure, measure off-line measurement etc. fixed time.Multiple spot patrols when surveying and regularly measuring, but graphs such as the engineering value of real-time rendering image data, temperature value, and can check that new data of every collection refreshes figure line automatically by measuring point.The setting measurement data show and storage mode have dynamic demonstration manually to store with functions such as showing storage automatically at random and select.In the data acquisition, in time carry out data detection according to the alarming value that arranges in the sensor data, and out-of-limit data are reported to the police, send chimes of doom and screen sudden strain of a muscle warning literal etc.Image data enters database automatically, can manage mass data (greater than 1,000,000), and the data of collection can be inquired about by instrument type, design number, time, operation such as database data can be inquired about, backs up, deletes, empties, rejecting abnormalities data.The data of gathering generate report printing, can arrange statement heading and form at any time.
Claims (5)
1. a full-automatic accurate is monitored the device that orbit geometry parameter changes, it is characterized in that: pair of tracks monitoring point (10) is set on track (1) at a certain distance, track (1) the geometric parameter delta data of from the monitoring point (10) being gathered by horizontal displacement sensors (4) and vertical displacement sensor (5) is transferred to indoor controller by the transfer of data instrument, the data collection and analysis process software is reflected in the form that the parameter of track changes with real-time deformation conditional curve figure on the screen, and deposits the data of gathering in database automatically.
2. full-automatic accurate according to claim 1 is monitored the device that orbit geometry parameter changes, it is characterized in that: go up at described track (1) and every 4-8m a pair of monitoring point (10) is set, every pair of monitoring point (10) all is positioned at the bottom of track (1), and two monitoring points (10) that are in same cross section are perpendicular to line midline.
3. full-automatic accurate according to claim 1 is monitored the device that orbit geometry parameter changes, it is characterized in that: the crossbeam (6) in described track (1) is gone up connecting reinforcement (9), make the both sides of the last every pair of monitoring point of described track (1) (10) all be welded with fixedly connected reinforcing bar (9), horizontal displacement sensors (4) and vertical displacement sensor (5) are fixed on this reinforcing bar, horizontal movement gauge head (2) is connected by horizontal movement measuring staff (3) and horizontal displacement sensors, and horizontal movement gauge head (2) is positioned at the bottom of track and contacts with track; Vertical displacement gauge head (7) is connected with vertical displacement sensor (5) by vertical displacement measuring staff (8), and the vertical displacement gauge head is positioned at the bottom surface of track and contacts with track.
4. full-automatic accurate according to claim 3 is monitored the device of orbit geometry parameter changing method, and it is characterized in that: described horizontal displacement sensors (4) and vertical displacement sensor (5) are resistance sensor.
5. full-automatic accurate according to claim 3 is monitored the device of orbit geometry parameter changing method, it is characterized in that: described horizontal displacement sensors (4) and vertical displacement sensor (5) are fixed on the reinforcing bar (9) by welding or bolted mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320011127 CN203144853U (en) | 2013-01-10 | 2013-01-10 | Full-automatic precision monitoring device for geometric parameter variation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320011127 CN203144853U (en) | 2013-01-10 | 2013-01-10 | Full-automatic precision monitoring device for geometric parameter variation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203144853U true CN203144853U (en) | 2013-08-21 |
Family
ID=48972394
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201320011127 Expired - Lifetime CN203144853U (en) | 2013-01-10 | 2013-01-10 | Full-automatic precision monitoring device for geometric parameter variation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN203144853U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103031787A (en) * | 2013-01-10 | 2013-04-10 | 中铁七局集团第一工程有限公司 | Method and device for fully automatically and accurately monitoring changes of geometric parameters of track |
| EP3390723B1 (en) * | 2015-12-17 | 2020-02-05 | Siemens Mobility Pty Ltd. | Railway track displacement measurement system and method for proactive maintenance |
-
2013
- 2013-01-10 CN CN 201320011127 patent/CN203144853U/en not_active Expired - Lifetime
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103031787A (en) * | 2013-01-10 | 2013-04-10 | 中铁七局集团第一工程有限公司 | Method and device for fully automatically and accurately monitoring changes of geometric parameters of track |
| EP3390723B1 (en) * | 2015-12-17 | 2020-02-05 | Siemens Mobility Pty Ltd. | Railway track displacement measurement system and method for proactive maintenance |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103031787A (en) | Method and device for fully automatically and accurately monitoring changes of geometric parameters of track | |
| CN107064476B (en) | Road airport bituminous pavement modulus back-calculation device and method based on pavement monitoring | |
| CN111256924B (en) | Intelligent monitoring method for expansion joint of large-span high-speed railway bridge | |
| CN107858883A (en) | A kind of rail system safe condition comprehensive monitoring and intelligent analysis method | |
| CN102343922B (en) | On-line monitoring system for vibration characteristics of rapid railway turnout based on wireless sensor network | |
| CN201429413Y (en) | Pantograph performance on-line automatic detection system for high-speed trains | |
| CN103552579A (en) | Comprehensive detection train for freight heavy haul railway | |
| CN113532290B (en) | Bridge displacement monitoring system based on fusion of area distribution sensing and DIC (digital image computer) technology | |
| CN104401360A (en) | Multi-means fusion-based safety real-time monitoring method and multi-means fusion-based safety real-time monitoring system for railway track system | |
| CN102092406A (en) | Optical fiber grating sensed train wheel tread state online monitoring system | |
| WO2019185873A1 (en) | System and method for detecting and associating railway related data | |
| CN110936978B (en) | Ballastless track interlayer gap measuring method and device based on measuring trolley | |
| CN110789566A (en) | Track defect monitoring method and monitoring equipment based on axle box acceleration signal | |
| CN111516727A (en) | High-speed rail defect abnormity intelligent diagnosis and detection system and method based on double vibration measurement sensors | |
| CN100429106C (en) | Force detector and detection method for stress generated by defferent temp of long rail | |
| CN203651812U (en) | Freight heavy railway comprehensive detection train | |
| CN112550369A (en) | Switch application on-line state monitoring system | |
| CN107782785B (en) | Underground pipeline safety assessment method | |
| Stark et al. | Evaluation of tie support at transition zones | |
| CN202368605U (en) | Device for detecting rail directions of left and right rails of railway track dynamically | |
| CN203144853U (en) | Full-automatic precision monitoring device for geometric parameter variation | |
| CN203024763U (en) | Construction beam posture monitoring system | |
| CN202400107U (en) | Detection device for dynamically detecting abrasion of lateral sides of steel railway rails | |
| Šestaková et al. | Degradation-prediction models of the railway track quality | |
| CN114275003B (en) | Method for detecting and evaluating irregularity of temporary transportation track of super-long TBM tunnel under construction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CX01 | Expiry of patent term |
Granted publication date: 20130821 |
|
| CX01 | Expiry of patent term |