Remote monitoring early-warning method of track structure disease

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...

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 is a hand-push small device that uses the principle of ultrasonic waves to detect rail defects such as fractures. This trolley can only perform flaw detection on the rails and other operations, and can only be carried out during the driving gap, and the work efficiency is low. , average 5-8km / (day×person)

Images