High-speed rail catenary geometric parameter detection non-contact compensation and Kalman filtering correction method

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

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AI Technical Summary

Benefits of technology

This technology helps detect any signs or objects that may occur during an imagery process by analyzing their shape and location within its space. It uses mathematical techniques for predictive analysis to find potential targets while reducing workload time compared with traditional methods such as histograms or fuzzy logic. Additionally, this technique can help identify specific parts of images without being overlooked due to lack of detail from previous scans. Overall, these technical improvements make improving the quality of digital photography more efficient than older technologies like film cameras.

Problems solved by technology

Technological Problem addressed by this patented describes how to accurately measure the dimensions of a train's cable without being affected by external influences like weather conditions during its travel through the country. Current techniques involve manually checking each section with specialized devices while driving along rails over long distances. There may also exist other ways to check if these sections were properly connected beforehand. Additionally, some existing solutions use expensive sensors or cameras, making them less effective than desired because they cannot provide real-time monitoring capabilities.

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