摘要
自律机是高速铁路CTC系统的关键设备,对于保障列车在车站作业的安全性和高效性有重要意义。为更好地评估CTC系统自律机的可靠性,将云模型理论引入自律机可靠性评估中,提出基于最优最劣权重(BWM)的自律机可靠性评估云模型。在构建自律机可靠性指标的基础上,采用BWM计算指标的权重。通过逆向云发生器生成云数字特征,再将云数字特性进行加权运算,得到自律机可靠性评估云数字特征。采用黄金分割比率方法获取可靠性评估等级云,利用相似度计算方法,计算自律机可靠性评估云与可靠性评估等级云间的相似度,根据相似度输出可靠性评估结果。将该方法运用到自律机优化前后的功能可靠性评估中,结果表明:优化后的自律机功能可靠性明显提高,可靠性评估结果为“完全可靠”。
The autonomous computer is a key component of the HSR CTC system and plays a significant role in ensuring the safety and efficiency of train operations at stations.To better assess the reliability of the autonomous computer in the CTC system,this paper introduces cloud model theory into the reliability assessment of the autonomous computer.It proposes a cloud model based on best-worst method(BWM)for the reliability assessment of the autonomous computer.Based on the construction of reliability index for the autonomous computer,the BWM is used to calculate the weights of these indexes.The cloud digital characteristics are generated using an inverse cloud generator.These cloud digital characteristics are then subjected to weighted calculations to obtain the cloud digital characteristics for the reliability assessment of the autonomous computer.The golden ratio method is employed to obtain the cloud for reliability assessment levels.Using a similarity calculation method,the similarity between the cloud of the autonomous computer’s reliability assessment and the cloud of the reliability assessment levels is computed.The reliability assessment results are then output based on this similarity.Applying this method to assess the functional reliability of the autonomous computer before and after optimization reveals that the functional reliability of the optimized autonomous computer has significantly improved,with the reliability assessment result indicating“completely reliable”.
作者
孙延浩
丁舒忻
张芸鹏
杨生良
任禹谋
刘黎
SUN Yanhao;DING Shuxin;ZHANG Yunpeng;YANG Shengliang;REN Yumou;LIU Li(Signal&Communication Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;HSR Operation Dispatching Laboratory,National Engineering Research Center for High-Speed Railway and Urban Rail Transit System Technologies,Beijing 100081,China;Postgraduate Department,China Academy of Railway Sciences,Beijing 100081,China)
出处
《中国铁路》
北大核心
2025年第8期73-78,共6页
China Railway
基金
中国交通运输协会科技项目(CCTA-TI&A-2024025EM)
中国铁道科学研究院集团有限公司科研开发基金项目(2024YJ100)
中国国家铁路集团有限公司科技研究开发计划项目(N2024G051)。
关键词
CTC
自律机
可靠性评估
云模型
最优最劣权重法
数字特征
CTC
autonomous computer
reliability assessment
cloud model
best-worst method
digital characteristic
