摘要
为解决重载铁路多专业信息系统建设资源投资重复、数据共享不畅的问题,通过分析云平台、数据中台、数据中心机房的构成,研究重载铁路云数据中心的架构及其信息安全防护、网络可靠性保障、内外网隔离与互通等,提出包括服务、网络、安全防护、数据中台等多个维度构建的专有云数据中心总体架构,研究可为重载铁路云数据中心的建设提供技术支撑。通过需求分析、云平台架构设计和关键技术设计研究重载铁路云数据中心架构,包括设计总体架构、网络架构、数据中台架构和时钟同步架构,并从信息安全防护、网络可靠性、网络隔离与互通角度进行关键设计。通过方案研究,可有效支撑重载铁路云数据中心的建设。
To solve the problems of duplicate investment in resources and poor data sharing in the construction of multi-professional information systems for heavy duty railways,this paper analyzed the composition of cloud platforms,data centers,and data center rooms and studied the architecture of cloud data centers for heavy duty railway,as well as information security protection,network reliability protection,and internal and external network isolation and interoperability.The paper ultimately formed an overall architecture of proprietary cloud data centers covering multiple dimensions such as services,networks,security protection,and data centers,providing technical support for the construction of cloud data centers for heavy haul railways.Through requirement analysis,cloud platform architecture design,and key technology design,the architecture of the cloud data center for heavy haul railways was studied,including the overall architecture,network architecture,data center architecture,and clock synchronization architecture.Key designs were carried out from the perspectives of information security protection,network reliability,network isolation,and interoperability.Through scheme research,it could effectively support the construction of cloud data centers for heavy haul railways.
作者
赵国智
何澄
张雪宸
阎晋峥
王华伟
ZHAO Guozhi;HE Cheng;ZHANG Xuechen;YAN Jinzheng;WANG Huawei(Shaanxi Railway and Logistics Industry Group Co.Ltd.,Xi’an 710000,Shaanxi,China;Shaanxi Jingshen Railway Co.,Ltd.,Yulin 719000,Shaanxi,China;Transport Command and Information Technology Research Institute,CRSC Research&Design Institute Group Co.,Ltd.,Beijing 100070,China)
出处
《铁道货运》
2024年第10期58-67,共10页
Railway Freight Transport
基金
陕西铁路物流集团有限公司科研项目(2021SMHKJ-A-J-06-01)。
关键词
云平台
网络
时钟同步
信息安全
数据中心
Cloud Platform
Network
Clock Synchronization
Information Security
Data Center