Railway Track Circuit Signal State Check Using Object Detection

Abstract

The track circuit is widely used in the railway network for safety, and the corresponding track circuit equipment is laid almost every railway station, which provides an extremely important information service for the safe driving of the train. In this paper, we proposed a two-phase detection algorithm for the state of the signal equipment of the track circuit, which is used for automatic safety detection of the status of the track circuit signal equipment in the railway signal room. Compared with the traditional inspection method of inspection workers, our proposed detection algorithm of signal state greatly improves the efficiency of security inspection, and in the experimental results, the proposed method outperforms other methods in different situations.

A diagnostic algorithm diagnosing the failure of railway signal equipment

“…Railway signal equipment needs to be kept in good working condition in order to maintain the normal operation of the railway; therefore, the railway needs to carry out regular and irregular strict maintenance to ensure the safety of traffic. However, the maintenance cannot predict the failure of the equipment, and repeated maintenance and inspection also need to consume a lot of time and energy [10]. The real-time nature of fault diagnosis is receiving increasing attention [7].…”

Automatic Switching of Electric Locomotive Power in Railway Neutral Sections Using Image Processing

“…It should be noted, however, that when examining related works about railway computer vision applications [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ], there is still much room left for the field to mature. Furthermore, it is stressed that existing algorithms and approaches are not universal, since railway signage differs in various countries around the world.…”

“…Another important consideration is railway track circuit signal object detection. In the research conducted by [ 26 ], they propose a two-phase detection algorithm to monitor the status lights of the track circuit signals in the control room. Their computer vision monitoring system effectively provides important information for humans to conduct work on the railway track, thus enhancing safety when driving the locomotive.…”