A Cost-Efficient Error Measurement System for Catenary Construction in Railway Applications
摘要
The overhead catenary system (OCS) is a vital part of electric railways, supplying power to trains through pantograph contact. Installation errors in the OCS can lead to significant operational disruptions, making accurate error detection essential. However, manual inspections are labor-intensive and pose safety risks, particularly with the shortage of skilled labor in many regions. This paper proposes a cost-efficient system for measuring construction errors in the OCS. The system employs low-cost LiDAR sensors mounted on trolleys to detect contact wire height and stagger. A two-stage algorithm combining random sample consensus and Gaussian mixture regression is utilized to improve accuracy, even in noisy environments. Experimental validation using real railway data demonstrated high precision in height measurements, achieving approximately 1/5 of the allowable tolerance, with acceptable stagger measurements. The proposed method offers a practical solution for improving catenary installation accuracy, reducing human labor, and enhancing overall safety.