A Track Status Detection Method Based on Ultrasonic Guided Wave Track Breakage Detection System

Abstract

A track state detection method based on an ultrasonic guided wave track breaking detection system of the present invention is specifically implemented according to the following steps: Step 1: Each ultrasonic guided wave sending unit generates an excitation signal; Step 2: The ultrasonic guided wave that receives the excitation signal converts The transducer transmits the ultrasonic guided wave signal, and the ultrasonic guided wave signal is transmitted to the ultrasonic guided wave receiving unit; Step 3: The ultrasonic guided wave receiving unit extracts the characteristic quantity of the collected ultrasonic guided wave signal, and transmits the extracted characteristic quantity to the PC The network classification unit in the computer network server; step 4: the network classification unit outputs the state of the track; step 5: comprehensively judge the states of the two parallel rails detected, and ensure the safety of the train. The invention utilizes the network classification unit to classify and judge the track state, and has high classification accuracy and strong real-time performance.

Description

technical field [0001] The invention belongs to the field of rail transit signal processing, and in particular relates to a track state detection method based on an ultrasonic guided wave track breaking detection system. Background technique [0002] In recent years, with the rapid increase in the operating mileage of China's high-speed railway lines, the rail transportation system has also made significant progress, not only in design, manufacturing and deployment, but also in safety monitoring issues. As an important part of rail transportation, the track is subject to external forces and environmental changes for a long time, and it is prone to fractures. These fractures pose a huge threat to transportation safety, ranging from train delays to accidents and casualties. On the other hand, the status of the track occupied by the train also needs to be detected in time, so as to plan and arrange the dispatching route, and prevent other trains from entering the track section,...

AI Technical Summary

Problems solved by technology

For non-stationary ultrasonic guided wave signals that are sometimes intense and sometimes slow, it is necessary to combine multiple sets of window functions with different widths; on the other hand, although wavelet transform has made great progress compared with time-frequency analysis methods, there are still wavelet base selection Complex, finite-length wavelet bases cause signal energy leakage and other problems, and will produce meaningless false components when analyzing nonlinear and non-stationary guided wave signals

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