重载铁路中云边端协同计算的应用探索  

Exploration of the Application of Cloud-Edge-Terminal Collaborative Computing in Heavy-Haul Railways

作　　者：焦建锋 庞勇 谢谷阳 

机构地区：[1]中电信智能网络科技有限公司

出　　处：《自动化博览》2025年第2期55-59,共5页Automation Panorama

摘　　要：重载铁路数字化转型对提升铁路运输效能意义重大,云计算与边缘计算协同应用成为其关键支撑。文章以朔黄铁路为研究对象,深入剖析二者在重载铁路场景中的协同实践。针对重载铁路车地、机车、地面通信等多样化业务需求,本研究采用定制化大功率站与扩展型小基站多频混合组网实现信号覆盖,边缘计算保障本地设备快速接入,云计算助力网络规划优化。在核心网架构上,本研究采用“总部集约管理、分省就近接入”的5GC全下沉式架构,云边协同实现数据实时处理与核心网稳定运行。统一云网底座推动云边协同计算,边缘实时采集处理设备数据,云计算负责大规模存储与深度分析。承载网通过构建星形网络,由边缘计算进行本地数据分流优化,云计算保障数据广域可靠传输。融合MEC的智能管控数字化平台,借助云计算的数据处理存储与边缘计算的实时管理控制能力,实现网络高效管理。The digital transformation of heavy-haul railways is of great significance for improving railway transportation efficiency.The collaborative application of cloud computing and edge computing has become a key support.This article takes the Shuohuang Railway as the research object and deeply analyzes the collaborative practice of the two in the heavy-haul railway scenario.In response to the diverse business requirements of heavy-haul railways,such as train-ground,locomotive,and ground communications,a multi-frequency hybrid networking method of customized high-power stations and extended small base stations is adopted to achieve signal coverage.Edge computing ensures the rapid access of local devices,and cloud computing facilitates network planning and optimization.In terms of the core network architecture,a fully sunken 5GC architecture with"centralized management at the headquarters and local access in each province"is adopted.The collaboration between cloud and edge computing realizes real-time data processing and stable operation of the core network.The unified cloud-network infrastructure promotes cloud-edge collaborative computing.Edge computing collects and processes device data in real-time,while cloud computing is responsible for large-scale storage and in-depth analysis.The bearer network constructs a star-shaped network,where edge computing optimizes local data offloading,and cloud computing ensures reliable wide-area data transmission.The intelligent management and control digital platform integrating MEC leverages the data processing and storage capabilities of cloud computing and the real-time management and control capabilities of edge computing to achieve efficient network management.

关 键 词：铁路运输 MEC边缘计算 云计算 数字化转型 朔黄铁路 

分 类 号：U285[交通运输工程—交通信息工程及控制]