Research on Intelligent Auxiliary Systems for Railway Signal Cable Splicing

Railway signal cables are crucial components of the railway signaling system, primarily used to connect signaling equipment, communication devices, power supply equipment, etc., to achieve signal transmission, data transmission, and power supply functions. Railway signal cables are typically laid in outdoor environments, and when they are damaged or broken due to natural disasters or human factors, it is necessary to splice the cables to restore the signal transmission path. However, there are limited staff in the electrical service sections who truly master the skills of cable splicing. When faced with long-distance, urgent, and complex signal cable splicing demands, it requires long-term support, which could potentially delay the emergency repair timing. To address this technical challenge, this paper conducts research on an intelligent assistance system for railway signal cable splicing in response to the needs of field workshops. The impact of railway signal cable interruptions that cannot be repaired in a timely manner is analyzed, and then a system is designed and implemented based on the characteristics of the YOLO object detection algorithm. After the system was tested and used, its effectiveness was verified. Finally, a reasonable exploration and conception of the application scenarios were carried out.