Research on Control Mode and Perception Model of Intelligent Railway Station Equipment Based on Edge Computing
Shen Haiyan, Shi Tianyun, Jiaying Duan, Guoyuan Yang, Cheng Qingbo · 2021
The intelligent railway station is a window to show the service ability, intelligence level and civilization of China’s railway. Data generated by tens of thousands of railway station equipment is growing explosively, so Cloud computing can no longer cope with such bottleneck problems as bandwidth limitations, network delays and security risks. Through the organic combination of edge computing and Cloud computing, the problem of mass data processing in Cloud center and edge will be tackled effectively [1]. In this paper, the overall architecture and intelligent control mode of “Intelligent railway station ” equipment based on "Edge-Cloud-End" are proposed, and an emphasis is placed on the research of principles of FSM resource and service perception models as well as the working mechanism of perception model, which are all verified by experiment. This study aims to meet the key requirements of intelligent control of “Intelligent railway station” equipment in agile connection, data optimization, real-time business, intelligent computing, security and privacy, etc., ] and to make up for the deficiency of equipment self-management and predictive maintenance in the current equipment management theory and model.