摘要
为保障高速铁路运输组织秩序和行车安全,解决云计算工作模式下数据中心化导致的计算资源缺乏和网络通信延时等问题,基于数据、资源、服务和安全的云边协同技术设计高速铁路智能行车调度系统。在现状分析基础上,对系统架构及其数据交互进行构建,明确实体设备作用和业务功能,形成数据层、网络层和应用层的3层系统架构,全面协同中心云集中计算能力和边缘节点分布计算能力,提升行车资源利用效率和行车数据应用效能,实现列车安全运行和实时监督调整,进一步提高高速铁路行车指挥自动化、智能化水平。
In order to guarantee the high-speed railway transportation organization order,ensure traffic safety,and solve the problems of computing resources shortage and network communication delay caused by data centralization in cloud computing mode,an intelligent traffic control system for high-speed railway is designed based on the cloud edge collaborative technology of data,resources and services.According to the current situation,the system architecture and its data interaction are constructed,and the role and business functions of physical devices are defined,and then three-layer system architecture of data layer,network layer and application layer is formed.By fully cooperating with the centralized computing capacity of the central cloud and the distributed computing capacity of the edge nodes,the utilization efficiency of train operation resources and the application efficiency of train operation data can be improved.The train safe operation and real-time supervision and adjustment can be realized,so as to further improve the automation and intelligence of high-speed railway operation command.
作者
赵宏涛
陈峰
许伟
曹桢
白利洁
ZHAO Hongtao;CHEN Feng;XU Wei;CAO Zhen;BAI Lijie(Signal&Communication Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing Huatie Information Technology Co.,Ltd.,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁道运输与经济》
北大核心
2021年第1期71-76,共6页
Railway Transport and Economy
基金
国家自然基金委高铁联合基金(U1834211)
中国铁道科学研究院集团有限公司重点科研课题(2020YJ040)。
关键词
智能调度
云边协同
突发事件
边缘计算
数据和服务安全
Intelligent Traffic Control
Cloud Edge Collaboration
Emergencies
Edging Computing
Data and Service Security
