A catenary wire abrasion detection method, device, equipment and storage medium

By using methods of data acquisition, preprocessing, and point cloud registration, combined with a wear detection model, the problems of low efficiency, poor accuracy, and trend prediction in contact wire wear detection were solved, achieving efficient and accurate wear status monitoring and prediction, and ensuring the stability of the rail transit power supply system.

CN122243913APending Publication Date: 2026-06-19BEIJING TOT AUTOMATION SYST EQUIP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING TOT AUTOMATION SYST EQUIP
Filing Date
2026-03-16
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing contact wire wear detection technologies suffer from low efficiency, insufficient accuracy, poor data consistency, low reliability in complex environments, and inability to predict wear trends and pinpoint the causes of anomalies.

Method used

The raw point cloud data of the overhead contact line conductors is collected. Through preprocessing and point cloud registration, combined with feature point extraction and geometric operations, the basic wear parameters are quantitatively calculated. The wear detection model is then used to predict wear trends and locate abnormal causes.

Benefits of technology

It has enabled automated and continuous detection of the wear condition of the contact wire, improved the accuracy of wear parameter calculation and detection efficiency, reduced the probability of pantograph-catenary faults, and ensured the stable operation of the rail transit power supply system.

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Abstract

This invention discloses a method, apparatus, equipment, and storage medium for detecting wear on overhead contact line conductors. By collecting and preprocessing raw point cloud data of the overhead contact line conductors to obtain target point cloud data, and combining this with template point cloud data to complete precise point cloud registration, the basic wear parameters are quantitatively calculated through feature point extraction and geometric operations. Finally, the wear detection results are obtained based on a pre-constructed wear detection model. This achieves automated and continuous detection of the wear status of the overhead contact line conductors, effectively improving the accuracy of wear parameter calculation and detection efficiency. Simultaneously, the wear detection model enables wear trend prediction and anomaly cause localization, solving the problems of low accuracy, poor efficiency, and static measurement limitations of traditional detection methods. It provides comprehensive and reliable data analysis support for preventative maintenance of overhead contact line conductors, reduces the probability of pantograph-catenary faults, and ensures the stable operation of the rail transit power supply system.
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