Recently, the first AI escalator step detection instrument in the domestic rail transit industry has been officially put into use at BJMTR. The device integrates line laser and AI intelligent technology, integrating four core detection functions and supporting six intelligent fault recognition capabilities. It can accurately collect data from escalator step surfaces while efficiently evaluating their health status, achieving comprehensive coverage of escalator operation status, automated inspection, and real-time dynamic diagnosis. A full inspection of a single escalator takes only 3 minutes, with an efficiency improvement of 30 times and a detection accuracy improvement of 10 times compared to the manual inspection and status assessment method. This effectively enhances equipment safety levels, providing passengers with more reliable safety assurance during their metro travel.
Lau Kei Ming, Chief Engineering Manager of BJMTR, stated, the company has consistently integrated new technologies into metro operations, focusing on the practical needs of frontline operation and maintenance, and continuously promoting technological innovation, R&D, and application. The launch of the AI-powered escalator step detector marks another significant innovative breakthrough for BJMTR in escalator maintenance and inspection. This technology effectively overcomes the limitations of traditional manual inspections regarding efficiency, precision, and coverage, thereby enhancing operational safety and passenger travel experiences. Moving forward, BJMTR will actively advance the research, development, and application of intelligent operation and maintenance systems across multiple disciplines, including rolling stock, signaling, and track infrastructure, contributing to the high-quality development of urban rail transit and providing passengers with safer and more comfortable travel services.