Loaded type rail health state dynamic monitoring and intelligent analysis system and method

Abstract

The invention discloses a rail health state dynamic monitoring and analysis method. The method comprises the following steps: mounting signal collection hardware to a bogie of an operating train; ensuring that the signal collection hardware collects rail health state information during the operation of a train; analyzing collected rail health state data through a data analysis software; ensuring that data analysis software is loaded in a computer mounted in the body of the operating train or loaded in a cloud server. A loaded type rail health state dynamic monitoring and intelligent analysis system integrates devices, such as an inertial navigation system component, an ultrasonic flaw detection component, a laser displacement sensor, a laser silhouette sensor and a line-scan digital camera, in a modular manner, is loaded in the operating train, dynamically collects various rail health state dynamic parameters including rail dynamic geometrical shapes and positions, vehicle body accelerated speed, rail defect, and sleeper and fastener defect, at high frequency within operation period, realizes operation and detection integration, and accurately and finely guides rail maintenance.

Description

technical field [0001] The invention relates to the field of intelligent monitoring of key rail transit facilities and equipment, in particular to a dynamic monitoring and intelligent analysis system and detection method for a mounted track health state. Background technique [0002] Tracks are the basis for the operation of railways and subway trains, and their health status directly affects operational safety, maintenance costs and passenger comfort. Under the repeated action of train loads and under the influence of factors such as line structure and geographical environment, the track health status continues to deteriorate. In order to keep the track in good health and ensure the safety of operation, it is necessary to timely and accurately grasp its health status through detection, monitoring and other means, and to carry out maintenance and repair operations in a timely manner. [0003] At present, track managers at home and abroad generally use large-scale profession...

AI Technical Summary

Problems solved by technology

[0005] 1) Separation of transportation and inspection, the existing inspection operations must be carried out within the skylight time after the normal operation of the operating train, and cannot be carried out during the operating hours;

[0006] 2) There is a lack of integration of testing items. One testing device can only detect the same type of health status parameters, and cannot detect multiple types of parameters at the same time;

[0007] 3) The detection frequency is low, and the existing detection method is periodic detection, which makes it difficult to dynamically collect track health status parameters at high frequency;

[0008] 4) The purchase cost of large-scale professional inspection vehicles is high, often tens of millions, and it is difficult to purchase in batches; small-scale professional inspection instruments need to be manually pushed or hand-held, which is inefficient

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