融合Markov法和GO法的轨道交通安全主机安全性研究
潘洪亮1,2,3于成龙1李迪1,2王昊1孙敏达1,2
Safety Research on Rail Transit Safety Hosts by Integrating Markov Method and GO Method
PAN Hongliang1,2,3YU Chenglong1LI Di1,2WANG Hao1SUN Minda1,2
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作者信息:1.同济大学道路与交通工程教育部重点实验室，201804，上海
2.高速磁浮运载技术全国重点实验室，201804，上海
3.同济大学磁浮交通工程技术研究中心，201804，上海
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Affiliation:1.Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 201804, Shanghai, China
2.State Key Laboratory of High-speed Maglev Transportation Technology, 201804, Shanghai，China
3.Tongji University Maglev Transportation Engineering Technology R & D Center, 201804, Shanghai，China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.12.010
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中图分类号/CLCN:U270；U298.1
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栏目/Col:学术专论
摘要:
［目的］轨道交通安全主机是列车运行控制系统的核心，有必要对轨道交通安全主机进行安全性研究。［方法］介绍了三取二和二乘二取二两种安全主机系统架构，提出融合Markov法与GO法的安全主机定量计算方法，并进行了算例验证。［结果及结论］在相同工作时间内，电源模块的安全性下降最快，在实际应用中，应特别注意安全主机电源模块的安全性。在初始工作时间内，二乘二取二安全主机的安全性高于三取二安全主机的安全性，但两种安全主机的安全性差异不大；随着工作时间的增加，两种安全主机的安全性均有所下降。采用所提Markov-GO联合模型能够实现安全主机的安全性定量分析。
Abstracts:
［Objective］ Rail transit safety hosts are the core of the train operation control system, and it is necessary to conduct safety research on the rail transit safety hosts. ［Method］ The system architectures of the 2-out-of-3 safety host and the double 2-vote-2 safety host are introduced. A quantitative calculation method for the safety hosts that combines Markov method and GO method is proposed and verified through actual example. ［Result & Conclusion］ Within the same working period, the safety of the power module decreases the fastest. So in practical applications, special attention should be paid to the safety of the power module in the safety hosts. In the initial working period, the security performance of the double 2-vote-2 safety host is higher than that of the 2-out-of-3 safety host, but the difference in security performance between the two safety hosts is not significant; with the increase of working time, the security performance of both safety hosts decreases. Adoption of the proposed Markov-GO joint model can achieve safety quantitative analysis of the safety hosts.
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