轨道交通云平台研究
冯浩楠1,2潘明1,3姜庆阳1,3金安4
Research on Rail Transit Cloud Platform
FENG Haonan1,2PAN Ming1,3JIANG Qingyang1,3JIN An4
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作者信息:1.中国铁道科学研究院集团有限公司通信信号研究所，100081，北京
2.国家铁路智能运输系统工程技术研究中心，100081，北京
3.广州铁科智控有限公司，510220，广州
4.中国铁道科学研究院集团有限公司铁道科学研究发展中心，100081，北京
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Affiliation:1.Signal and Communication Research Institute of China Academy of Railway Sciences Group Co., Ltd., 100081, Beijing, China
2.The Center of National Railway Intelligent Transportation System Engineering and Technology, 100081, Beijing, China
3.Guangzhou Railway Sciences Intelligent Controls Co., Ltd., 510220, Guangzhou, China
4.Railway Science and Technology Research and Development Center of China Academy of Railway Sciences Group Co., Ltd., 100081, Beijing, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.10.031
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中图分类号/CLCN:TP39；U231+.92
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栏目/Col:研究报告
摘要:
［目的］为推动轨道交通控制系统的现代化进程，并提升其安全性、可靠性和运营效率，特设计了一种轨道交通云控制系统架构，旨在将该系统的安全苛求功能与非安全功能有效集成并部署于云平台之上。［方法］通过光纤方式连接对象控制器与云平台服务器，实现远距离分布式控制。分析了轨道交通云控制系统的特点，并从时间管理、空间管理、共享资源管理、运行模式管理、降级模式管理和安全监控等6个方面梳理了安全需求。［结果及结论］云平台的虚拟化层须在空间隔离、时间隔离、故障隔离和管理、可预测性、安全性和机密性等方面进行设计；云平台的调度机制包括时间触发调度和事件驱动两种机制，二者对平台的时序约束产生不同的影响；云平台的分层调度存在4种资源共享协议，须根据不同的任务进行选择。
Abstracts:
［Objective］ To advance the modernization of rail transit control systems and enhance their safety, reliability and operational efficiency, a cloud-based control system architecture for rail transit is designed. The aim is to effectively integrate and deploy both the safety-critical and non-safety-critical functions of rail transit system onto a cloud platform. ［Method］ A cross-regional distributed control is realized by connecting target controllers to cloud platform servers via optical fiber. Characteristics of the rail transit cloud control system are analyzed, safety requirements of the system are outlined across six aspects: time management, space management, shared resource management, operation mode management, degradation mode management and safety monitoring. ［Result & Conclusion］ The virtualization layers of the cloud platform must be designed to ensure spatial isolation, temporal isolation, fault isolation, as well as management, predictability, security, and confidentiality. The platform scheduling mechanism includes both time-triggered and event-driven approaches, each impacting the platform temporal constraints differently. The hierarchical scheduling of the cloud platform involves four resource-sharing protocols, which must be selected based on different tasks.
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