Railway bridge section track disease monitoring method and system based on combination of grating array and video monitoring

Abstract

The invention relates to a railway bridge section track disease monitoring method and system based on combination of a grating array and video monitoring, and the method comprises the steps: arranging a fiber grating array optical cable on a track structure, carrying out the real-time collection of track state monitoring data, and transmitting the data to a background server through a fiber grating demodulator; a plurality of video cameras are installed along the whole track at intervals, and the video cameras send shot video monitoring data to a background server through video data receiving equipment; the background server judges whether the track state monitoring data collected by each measuring point is abnormal or not, if the track state monitoring data collected by a certain measuring point is abnormal, it is indicated that the possibility that the track structure has diseases exists in the area corresponding to the measuring point, and then the video monitoring data of the area is called for display; and a supervisor is assisted to identify the specific type of the disease. According to the invention, real-time monitoring and type identification of the railway track structure disease condition are realized, and the disease type is visually reflected through a video.

Description

technical field [0001] The invention belongs to the technical field of track monitoring, and in particular relates to a method and system for monitoring track diseases in railway bridge sections based on grating array and video monitoring. Background technique [0002] In railway systems such as high-speed railways, intercity railways, urban railways, and urban rail transit, tracks are one of the core technologies to ensure the safe, stable and smooth operation of high-speed trains. Due to the complex coupling relationship between layers, the external environmental loads are diverse, the mechanical behavior is complex, and the state evolution is time-dependent and sudden. If emergencies such as the failure of vibration components occur, if it is difficult to deal with them in time, it will directly affect the safe operation of trains. [0003] At present, my country's railways mainly use mobile vehicles and manual inspections to detect the state of the track structure. At t...

AI Technical Summary

Problems solved by technology

Although the traditional monitoring method has a good grasp of the relevant technical indicators and parameters of the monitoring points, on the one hand, most of the traditional monitoring methods are point monitoring, and the railway lines have the characteristics of strips, which can stretch for hundreds of kilometers. Continuous monitoring of the whole line and time domain; on the other hand, traditional monitoring methods can judge whether there is a disease in the track structure through on-site data, but cannot directly reflect the type of disease

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