201807 – Wang, Jiang, Zheng & Zhang – Intelligent Monitoring and Maintenance Scheme for Large Scale Railway Signaling System

During the past ten years, progress with the Chinese high speed railway (HSR) network has achieved worldwide recognition and acclaim. The overall operational mileage exceeded 20,000 km by the end of 2017. As for the railway signaling system, it has been transformed into a large integrated automation system to keep trains safe. To ensure signal system safety itself, many types of monitoring devices have been developed to monitor the operational conditions of various items of signal equipment, and the massive amounts monitoring information generated individually are stored in each subsystem respectively. These monitoring systems indeed improve the maintenance efficiency. However, due to the isolated information of these monitoring systems, maintenance has even become more difficult for large-scale complex signaling systems.

Based on big data, this paper proposed an integrated monitoring and comprehensive intelligent analysis scheme for the signaling system. In the scheme, we show the overall logical framework, the cloud and big data-based data center, the monitoring data mining and the intelligent analysis task. A case study of the intelligent monitoring and maintenance system in Guang-Zhou railway bureau is presented. The proposed framework can improve the intelligence level of maintenance and help to enhance the safe operation. The framework implemented in Guang-Zhou bureau shows the effective data-driven maintenance approach.