A non-contact compensation and Kalman filter correction method for the detection of geometric parameters of high-speed railway catenary network

Abstract

The invention discloses a high-speed rail catenary geometric parameter detection non-contact compensation and Kalman filtering correction method. The method mainly comprises the steps that firstly, a video camera is triggered to collect video images at equal intervals through an encoder on a wheel set; the regions where target light spots appear in the images are predicted according to prediction strategies; the positions of the target light spots in the images are located according to the centroid method and the image morphology method; the angle of roll vibration is detected through an angle sensor, and compensation is performed on the vibration through coordinate transformation; contact wire height and pull-off values are figured out according to mapping transformation of the light spots from the position of an image coordinate system to the position of a world coordinate system; finally, detecting values are corrected through the Kalman filter equations. According to the method, the defects that the system is low in detecting accuracy, poor in real-time processing performance and the like are effectively overcome, the processing efficiency of the system is improved, and the requirements of high-speed rail catenary on-line detection for real-time performance and accuracy are well satisfied.

Description

technical field [0001] The invention relates to the field of on-line detection of high-speed railway catenary, in particular to the technical field of real-time on-line detection and high-precision fault detection. Background technique [0002] With the development of high-speed electrified trains, the safety of railway transportation is becoming more and more important. The catenary is an important equipment in the traction power supply system of the high-speed railway. The good contact between the catenary wire and the pantograph is the key to ensure the quality of the electric locomotive; and the catenary is a non-reserved device. Once an accident occurs, it will cause Operational disruption or even a major security incident. Therefore, in order to meet the operation and development of high-speed railways and improve the safety and reliability of traction power supply systems, continuous research on catenary online detection technology is particularly important. [0003...

AI Technical Summary

Problems solved by technology

However, it is difficult for the detection device to obtain a more accurate suspension curve due to factors such as ups and downs and roll vibrations of the car body, insufficient connection of the mechanical structure, and low detection accuracy of the sensor itself.

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