High-speed railway track condition dynamic monitoring device

A technology for dynamic monitoring and high-speed railways, which is applied in the direction of railway vehicle shape measuring devices, railway car body parts, railway auxiliary equipment, etc. performance and comprehensive risk, and the effect of improving monitoring accuracy

Active Publication Date: 2020-08-25
ZHENGZHOU RAILWAY VOCATIONAL & TECH COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This existing technology only analyzes the accident situation by comparing the original vibration information with the detected real-time vibration information. Due to the difference in the actual operation conditions of the high-speed rail such as speed, load, and wind direction, the collected vibration information is random and difficult to pass. Compare the original data to analyze whether there is a fault; and the method of using the gauge detection device to detect the gauge of the railway track requires the track detection vehicle to drive the laser ranging device to move to realize the detection of the gauge, but it does not reflect the high speed of the high-speed train when it is running at high speed. changes in the situation, and cannot cope with the dynamic monitoring of complex train operation conditions

Method used

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  • High-speed railway track condition dynamic monitoring device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] A high-speed railway track condition dynamic monitoring device, comprising a gauge detection module 1 and a vehicle-mounted analysis module 3 connected thereto, a track vibration detection module 2 and a local industrial computer 4 connected thereto, and a remote server 5; the remote server 5 They are respectively connected to the on-board analysis module 3 and the local industrial computer 4 for communication.

[0029]The gauge detection module 1 includes a high-speed camera module 1-1 and a laser distance measuring module 1-2; the high-speed camera module 1-1 and the laser distance measuring module 1-2 are all connected with the on-board analysis module 3, and the high-speed The camera module 1-1 is installed at the bottom of the train to take pictures of the train wheels and tracks; the laser distance measuring module 1-2 is installed on two opposite wheel hubs, and the distance between the two hubs is measured multiple times by means of opposite shots, and then the d...

Embodiment 2

[0038] A method for dynamic monitoring of high-speed railway track conditions, using the above-mentioned device, and comprising the following steps:

[0039] Step 1. Gauge measurement: use the laser ranging module 1-2 installed on the two opposite wheel hubs to measure the distance between the two hubs multiple times to calculate the gauge, and start the high-speed camera module 1-1 when the gauge exceeds the preset threshold Take multiple images of train wheels and tracks;

[0040] Step 2. Judgment of gauge state: extract the image features of the rails and wheels from the multiple pictures of the train wheels and tracks taken, and then judge whether the rails are in an abnormal deformation state;

[0041] Step 3, comprehensive monitoring: record the corresponding position when it is judged that the rail is in an abnormally deformed state, and further monitor the rail. The further monitoring includes the monitoring of internal defects of the rail, track vibration and the foun...

Embodiment 3

[0044] In this embodiment, others are the same as Embodiment 2, and the difference is that the step of judging whether the rail is in an abnormally deformed state in said step 2 is specifically:

[0045] Extract the image features of the rails and wheels from the captured images, the image features include texture features, shape features and local feature points, use the BRJEF algorithm to select several pixel point pairs in the field around the feature points of the rails and wheels, and pass Compare the gray values ​​of these point pairs with the gray values ​​of the normal rails and wheels in the database, and then obtain a concatenated binary bit string to describe each feature point, and use the Hamming distance to calculate the gray values ​​of the rails and wheels Whether the value exceeds the threshold to determine whether the rail is in an abnormal deformation state.

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Abstract

The invention discloses a high-speed railway track condition dynamic monitoring device which comprises a track gauge detection module, a vehicle-mounted analysis module connected with the track gaugedetection module, a track vibration detection module, a local industrial personal computer connected with the track vibration detection module and a remote server. The remote server is in communication connection with the vehicle-mounted analysis module and the local industrial personal computer. The actual condition of the high-speed railway track can be comprehensively analyzed through multiplemonitoring modes, the false alarm phenomenon is prevented, the working efficiency is improved, and the cost is reduced.

Description

technical field [0001] The invention relates to the technical field of track monitoring, in particular to a dynamic monitoring device for track conditions of high-speed railways. Background technique [0002] The track of a high-speed train will have different degrees of geometric changes due to various influences. On the one hand, it is the load pressure on the track during the running of the train; Such deformation will cause various potential safety hazards in the operation of the train. Therefore, it is very necessary to dynamically monitor the track, find changes in the track in time, and take a series of measures to eliminate these potential safety hazards. [0003] At present, the monitoring of railway tracks is carried out by manual measurement or by using intelligent electronic devices for monitoring. For example, CN201720445643.6 discloses a high-speed rail track safety online monitoring system based on existing communication optical fibers. The distributed optica...

Claims

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Application Information

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IPC IPC(8): B61K9/08
CPCB61K9/08
Inventor 王正位
Owner ZHENGZHOU RAILWAY VOCATIONAL & TECH COLLEGE
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