A railway inspection method and system based on computer vision and ultrasonic flaw detection

Abstract

The invention discloses a railway detection method and system based on computer vision and ultrasonic flaw detection. The railway image in front of the train is collected through a camera, the ultrasonic flaw detection signal of the rail in front of the vehicle is collected through an ultrasonic flaw detection device, and environmental data is collected through an environmental sensing device; the camera, Ultrasonic flaw detection devices are arranged side by side to collect the same point information of the track at the same time; the neural network model is used to identify and obtain image track defect data; the ultrasonic track defect data is obtained through waveform feature analysis; based on the collected data at the same time, the obtained The image track defect data, ultrasonic track defect data and environmental data are analyzed and verified, and the track defect optimization data of the track point is obtained. The present invention can accurately and quickly obtain the defect data of the track; it can enable management personnel to obtain the accurate defect data in real time, so as to ensure the safe operation of the railway and avoid waste of manpower and material resources.

Description

technical field [0001] The invention belongs to the technical field of railway tracks, in particular to a railway detection method and system based on computer vision and ultrasonic flaw detection. Background technique [0002] Computer vision is a simulation of biological vision using computers and related equipment. Its main task is to obtain the information of the corresponding scene by processing the collected pictures or videos. Ultrasonic flaw detection is one of the commonly used methods in non-destructive testing. Its principle is to detect the size, shape and distribution of defects in a non-destructive way based on the influence of the acoustic properties of internal defects on the propagation of ultrasonic waves. . [0003] With the development of high-speed rail, the speed of railway operation continues to increase, which is becoming more and more important for the accurate and real-time detection of railway defects, which plays an important role in ensuring ra...

AI Technical Summary

Problems solved by technology

However, the accuracy of the existing method is not high, it is easy to cause misjudgment, and the defect status of the track cannot be obtained in real time, efficiently and quickly, and the safe operation of the railway cannot be guaranteed, which has caused a waste of manpower and material resources for the railway maintenance.

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