en.Wedoany.com Reported - Beijing MTR Corporation recently deployed China's first AI escalator step inspection device in the urban rail transit sector. The device integrates line laser and AI intelligent technologies to enable automated inspection and real-time dynamic diagnosis of step conditions. A comprehensive inspection of a single escalator takes only 3 minutes, improving efficiency by 30 times and inspection accuracy by 10 times compared to traditional manual inspection methods.
Escalators are critical facilities for transporting and directing passenger flow within metro stations, and the health condition of their steps directly impacts operational safety. Traditional step inspection primarily relies on manual use of feeler gauges to check steps one by one while the escalator is stopped, which is time-consuming and has room for improvement in terms of inspection coverage and precision. The newly deployed inspection device is equipped with multiple sets of 3D laser profile sensors that can capture key parameters such as comb tooth engagement dimensions, step gaps, and flatness in real time while the escalator is running, achieving a measurement accuracy of ±0.1 millimeters, which is over 10 times more precise than traditional trapezoidal feeler gauge inspection.
The device integrates four core inspection functions and six intelligent fault recognition capabilities, supporting the completion of the entire inspection process synchronously while the escalator is running, without the need for repeated starting and stopping. The traditional process of comprehensive manual inspection combined with condition assessment takes nearly 100 minutes, whereas this inspection device completes the task in just 3 minutes, improving efficiency by over 30 times. The device can also instantly generate standardized diagnostic reports, enabling "real-time inspection and immediate insight," effectively optimizing the maintenance workflow.
In terms of practicality and convenience, the inspection device features a portable protective case design with modular hardware, making it adaptable to various maintenance scenarios. The operation interface is simple and intuitive, allowing maintenance personnel to quickly get started. Additionally, the device is equipped with intelligent analysis software that can rapidly process massive amounts of data, automatically mark defective steps, generate inspection reports, and support historical data comparison and trend analysis.
Liu Qiming, Chief Engineer of Beijing MTR, stated that in recent years, Beijing MTR has continuously integrated new technologies into metro scenarios, focusing on frontline operation and maintenance needs to promote technological innovation, research, and application. Previously, Beijing MTR innovatively applied an intelligent comprehensive track inspection vehicle, achieving efficient integration of track inspection and rail flaw detection; it has also deployed a portable continuous contact wire wear measuring instrument for routine catenary maintenance operations. The deployment of this AI escalator step inspection device marks another innovation by Beijing MTR in the field of escalator maintenance and repair, effectively overcoming the limitations of traditional manual inspection in terms of efficiency, accuracy, and coverage.
In the future, Beijing MTR will advance the research, development, and application of intelligent operation and maintenance systems across multiple disciplines, including rolling stock, signaling, and track, to provide passengers with safer and more comfortable travel services.
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