Remote monitoring early-warning method of track structure disease

A remote monitoring and track technology, which is applied to railway car body parts, railway vehicle shape measuring instruments, railway auxiliary equipment, etc. High accuracy, avoid the effect of missed detection and false detection

Active Publication Date: 2017-09-29
EAST CHINA JIAOTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main detection parameters of the rail inspection vehicle include: gauge, direction, level and height, etc. These parameters mainly reflect the geometric position of the track structure, and cannot truly reflect the running state of the track structure in real time
In addition, the flaw detection trolley

Method used

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  • Remote monitoring early-warning method of track structure disease
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  • Remote monitoring early-warning method of track structure disease

Examples

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Embodiment

[0024] Example: such as Figure 1-3 As shown, this embodiment specifically relates to a remote monitoring and early warning method for track structure defects. In this method, the rail 3, the wheel 2, the bottom plate and the track of the car body 11 when different types of rolling stock are running under different working conditions are firstly calculated. For the sample noise data in the space area formed by the board 4, before the departure of the train 1, the model of the rolling stock and the line data are input in the train 1 in advance, and the standard noise data of different mileages of the line are automatically generated on the basis of the sample noise data , and store the standard noise data in the standard noise database of the server 9; utilize the acoustic sensor 7 to collect the vehicle bottom noise radiation data in the train 1 operation process during the train 1 operation; Comparative analysis, when the deviation between the vehicle bottom noise radiation d...

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Abstract

The invention discloses a remote monitoring early-warning method of a track structure disease. The remote monitoring early-warning method comprises the steps of calculating normal track noise data when different locomotive trains run under different working conditions, and regarding the normal track noise data as sample noise data; generating standard noise data of different mileages of a track line on the basis of the sample noise data; using a sound transducer to collect train bottom noise radiation data in a train running process; conducting comparative analysis on the train bottom noise radiation data and the standard noise data, and judging that disease characteristics occur in a track structure when the deviation of the train bottom noise radiation data and the standard noise data is larger that a disease threshold value. The remote monitoring early-warning method of the track structure disease has the advantage that a detection device is installed on a running train, the situation of the track can be subjected to real-time and rapid detection, and the problem that the artificial detection is low in efficiency is solved.

Description

technical field [0001] The invention belongs to the technical field of rail transit vibration and noise, and in particular relates to a remote monitoring and early warning method for rail structure diseases. Background technique [0002] With the development of railways and urban rail transit, the speed of trains is getting higher and higher, and the frequency of train departures is getting higher and higher. The resulting difficulty in ensuring the safety of track structures is very prominent. Therefore, how to quickly, effectively and timely It is necessary to ensure the safe operation of high-speed railways and other rail transits to discover the problems of track structure diseases and respond quickly and take decisive countermeasures. [0003] At present, there are two commonly used inspection methods at home and abroad to find track structure defects. One is to rely on the inspection of railway construction workers, and to inspect along the line by naked eyes and exper...

Claims

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Application Information

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IPC IPC(8): B61K9/08
CPCB61K9/08
Inventor 罗锟罗晖冯青松张鹏飞黄大维
Owner EAST CHINA JIAOTONG UNIVERSITY
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