Research on the Big Data Platform and Its Key Technologies for the Railway Locomotive System
Xin Li, Shi Tianyun, Xiaoning Ma · 2020
In order to improve the efficiency of locomotive organization and the quality of locomotive operation, this paper analyzes and discusses the big data platform and some key technologies suitable for the big data application of the railway locomotive system. Firstly, the definition of big data of the railway locomotive system is proposed, and the current data characteristics of the railway locomotive system are summarized, then the status quo and demands of big data application of the railway locomotive system are analyzed. Secondly, the overall architecture of the big data platform for the railway locomotive system is proposed. Furthermore, seven application scenarios available for the big data platform are analyzed, including locomotive running organization, high-speed railway, repair, maintenance and other fields. Finally, some key technologies, which consist of data collection system of front-line operations, locomotive equipment portrait analysis, staff portrait analysis, transmission and analysis of locomotive video, intelligent auxiliary driving system, are provided to increase efficiency of the locomotive organization and capability of safety management. The obtained results can play a positive role in the construction and application of big data of the railway locomotive system.