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1.中国铁道科学研究院 研究生部,北京 100081
2.中国铁道科学研究院集团有限公司 通信信号研究所,北京;100081
梁志国(1982—),男,副研究员,主要从事计算机联锁方面的研究;E-mail: liangzhiguo@139.com
纸质出版日期:2023-11-10,
收稿日期:2023-07-07,
修回日期:2023-10-10,
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何志彬, 邢科家, 梁志国, 等. 云联锁系统冗余结构研究[J]. 机车电传动, 2023(6): 147-155.
HE Zhibin, XING Kejia, LIANG Zhiguo, et al. Research on redundant structure of cloud-based interlocking systems[J]. Electric drive for locomotives,2023(6): 147-155.
何志彬, 邢科家, 梁志国, 等. 云联锁系统冗余结构研究[J]. 机车电传动, 2023(6): 147-155. DOI: 10.13890/j.issn.1000-128X.2023.06.018.
HE Zhibin, XING Kejia, LIANG Zhiguo, et al. Research on redundant structure of cloud-based interlocking systems[J]. Electric drive for locomotives,2023(6): 147-155. DOI: 10.13890/j.issn.1000-128X.2023.06.018.
为保障联锁系统在云平台中的运行安全,文章通过对既有计算机联锁系统冗余结构进行分析,结合云平台特征,提出了基于虚拟机容错技术的云联锁系统冗余结构。首先,阐述了云联锁冗余结构的特点和优势。其次,通过对云联锁冗余结构的工作模式和服务器失效因素进行分析,建立服务器故障树模型、云联锁系统冗余结构关于危险失效概率PFD和安全失效概率PFS的动态故障树模型。最后,对云联锁冗余结构的可靠性进行研究,对动态故障树模型进行仿真分析。研究结果表明:云平台更适合部署形如
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结构的多重冗余结构联锁系统,开展云联锁冗余结构研究对云联锁的发展具有一定的借鉴意义。
In order to ensure the operational safety of interlocking systems within cloud platforms
this paper presented a redundant structure for cloud-based interlocking systems based on virtual machine fault tolerance technology
through analyzing the redundant structure of the existing computer-based inte
rlocking systems and considering the characteristics of cloud platforms. Firstly
the characteristics and advantages of the redundant structure of cloud-based interlocking systems were elaborated. Subsequently
this paper analyzed the working mode and server failure factors
and established a server fault tree model and dynamic fault tree model to evaluate the probability of failure on danger (PFD) and probability of failure to safety (PFS). Finally
the reliability of the redundant structure of cloud-based interlocking systems was assessed by simulation analysis using the dynamic fault tree model. The results indicate that cloud platforms are more suitable for deploying interlocking systems in multiple redundant structures such as
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structures. This research on the redundant structure for cloud-based interlocking holds certain reference significance for the development of cloud-based interlocking systems.
铁路联锁系统云计算冗余结构动态故障树失效概率高速铁路
railway interlocking systemcloud computingredundant structuredynamic fault treefailure probabilityhigh-speed railway
HUANG Lujiang. The past, present and future of railway interlocking system[C]//IEEE. 2020 IEEE 5th International Conference on Intelligent Transportation Engineering. Beijing: IEEE, 2020: 170-174.
VAN DONGEN S F M, CANTEKIN S, ELEMANS J A A W, et al. Functional interlocked systems[J]. Chemical society reviews, 2014, 43(1): 99-122.
ATHAVALE J, BALDOVIN A, PAULITSCH M. Trends and functional safety certification strategies for advanced railway automation systems[C]//IEEE. 2020 IEEE International Reliability Physics Symposium. Dallas, TX: IEEE, 2020: 1-7.
王培. 铁路计算机联锁系统仿真测试平台的研究[J]. 机车电传动, 2019(3): 148-150.
WANG Pei. Research on computer interlocking system simulation and test platform[J]. Electric drive for locomotives, 2019(3): 148-150.
中国铁路总公司. 计算机联锁系统[M]. 北京: 中国铁道出版社, 2015: 48-60.
China Railway Corporation. Computer interlocking system[M]. Beijing: China Railway Publishing House, 2015: 48-60.
万仔仁. 基于KVM虚拟机双机热备技术研究与实现[D]. 武汉: 华中科技大学, 2015.
WAN Ziren. Research and implementation of virtual machine hot standby system based on KVM[D]. Wuhan: Huazhong University of Science and Technology, 2015.
ITO M, HE Fujun, OKI E. Backup resource allocation of virtual machines for probabilistic protection under capacity uncertainty[J]. IEICE transactions on communications, 2022, E105.B(7): 814-832.
FARZANEH S M, FATEMI O. HRAV: Hierarchical virtual machine placement algorithm in multi-hierarchy RF cloud architecture[EB/OL]. (2023-01-16) [2023-09-22]. https://doi.org/10.21203/rs.3.rs-2466859/v1https://doi.org/10.21203/rs.3.rs-2466859/v1.
北京全路通信信号研究设计院有限公司. 铁路车站计算机联锁技术条件: TB/T 3027—2015[S]. 北京: 中国铁道出版社, 2016.
CRSC. Computer based interlocking technical specifications: TB/T 3027—2015[S]. Beijing: China Railway Publishing House, 2016.
许崇. 二乘二取二系统的可靠性和安全性[D]. 合肥: 合肥工业大学, 2013: 10-35.
XU Chong. Reliability and safety of double 2-vote-2 redundancy system[D]. Hefei: Hefei University of Technology, 2013: 10-35.
ATTALLAH S M A, FAYEK M B, NASSAR S M, et al. Proactive load balancing fault tolerance algorithm in cloud computing[J]. Concurrency and computation: practice and experience, 2021, 33(10): e6172.
XU Limin, WANG Suoping, GAO Ping, et al. The method of realize the cloud based generic function safety platform[C]//Springer. 2021 6th International Conference on Intelligent Transportation Engineering. Beijing: Springer, 2021: 600-608.
LEELIPUSHPAM G J, JEBADURAI I J, JEBADURAI J. Fault tree analysis based virtual machine migration for fault-tolerant cloud data center[J]. Journal of integrated design and process science, 2019, 23(3): 73-89.
GALA G, CASTILLO RIVERA J, FOHLER G. Work-in-progress: cloud computing for time-triggered safety-critical systems[C]//IEEE. 2021 IEEE Real-Time Systems Symposium. Dortmund: IEEE, 2021: 516-519.
IEC. Functional safety of electrical/electronic/programmable electronic safety-related systems: IEC 61508:2010[S]. Geneva: IEC, 2010.
WANG Haifeng, LI Wei. Component-based safety computer of railway signal interlocking system[C]//IEEE. 2008 ISECS International Colloquium on Computing, Communication, Control, and Management. Guangzhou: IEEE, 2008: 538-541.
闫剑平, 汪希时. 两种方式双机热备结构的可靠性和安全性分析[J]. 铁道学报, 2000, 22(3): 124-127.
YAN Jianping, WANG Xishi. Reliability and safety analysis of two modes of dual module hot spare architecture[J]. Journal of the China railway society, 2000, 22(3): 124-127.
KING A G. SIL determination: recognising and handling high demand mode scenarios[J]. Process safety and environmental protection, 2014, 92(4): 324-328.
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