A Review of Research into the Standardization of High-Speed Railway Text Operation and Maintenance Data

As the high-speed railway business in China develops rapidly, the safety and reliability requirements for high-speed railways are becoming higher and higher. For a high-speed railway system with a high degree of complexity, it is crucial to ensure the safe operation of the system from a risk management perspective by identifying potential accident hazards based on the collected risk source information and taking preventive measures in advance. This requires analysis of on-site incident and maintenance data to uncover correlations between sources of risk. Most of this data is recorded as textual data, in which there are many omissions, under-recording and multiple meanings of words. Although many relevant standard documents have been issued for different systems, there is a lack of a standardization management system for text data to achieve integrated management of risk source information for high-speed railway systems. This paper provides an overview of the key technologies that need to be applied in the standardization management of high-speed railway text data, and proposes a risk information management framework based on text information mining.