This article focuses on the remote diagnosis and analysis of rail vehicle status based on the data of the Train Control Management System (TCMS). It first expounds on the importance of train diagnostic analysis and designs a unified TCMS data frame transmission format. Subsequently, a remote data transmission link using 4G signals and data processing methods is introduced. The advantages of remote diagnosis are analyzed, and common methods such as correlation analysis, fault diagnosis, and fault prediction are explained in detail. Then, challenges such as data security and the balance between diagnostic accuracy and real-time performance are discussed, along with development prospects in technological innovation, algorithm optimization, and application promotion. This research provides ideas for remote analysis and diagnosis based on TCMS data, contributing to the safe and efficient operation of rail vehicles.
Zhang et al. (Fri,) studied this question.