基于云模型和组合赋权法的CBTC系统可靠性评价
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中图分类号:

U284.48

基金项目:

中国铁路总公司科技研究开发计划重点课题(2016X003-H);甘肃省工业交通自动化工程技术研究中心2019年开放基金(GSITA201903);中国国家铁路集团有限公司科技研究开发计划课题(201901BX01)。


Reliability evaluation of CBTC based on cloud model and combination weighting method
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    摘要:

    由于目前对CBTC系统的可靠性分析较少,提出一种基于云模型和组合赋权法的CBTC系统的可靠性评价方法。首先根据CBTC系统的结构和功能,建立了系统的功能型层次模型,并采用组合赋权法确定底层设备的主观和客观权重值,根据加法合成法得到系统的综合权重值;然后,计算CBTC系统底层设备的可靠度,并使用云模型表示;最后,将虚拟云计算的CBTC系统可靠性综合指标新云和可靠性评价集的云模型进行相似度比较,输出评价结果。结果表明,基于云模型和组合赋权法的CBTC系统可靠性评价方法可以正确客观地描述该城市的CBTC系统完成规定功能的能力,为研发和评估CBTC系统提供借鉴。

    Abstract:

    Since there are few reliability analysis of Communication Based Train Control System (CBTC) system, this paper presented a comprehensive evaluation method for reliability evaluation of the CBTC system based on the cloud model and the combination weighting method. Firstly, according to the structure and function of CBTC system, the functional hierarchical model of the system was established, and the subjective and objective weights of the underlying equipment were determined by the combination weighting method. The integrated weight value of the system was obtained according to the additive synthesis method. Secondly, the cloud model was used to represent the reliability of the underlying device of the CBTC system. Finally, the similarity between the CBTC system reliability comprehensive index new cloud and the reliability evaluation set cloud model of virtual cloud computing was compared to obtain the final evaluation result. The results show that the CBTC system reliability evaluation method based on cloud model and combination weighting method can correctly and objectively describe the ability of CBTC system to complete the specified functions, which can be used for the research and development and evaluation of CBTC system.

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何涛,马洁.基于云模型和组合赋权法的CBTC系统可靠性评价[J].重庆大学学报,2023,46(2):130-139.

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  • 收稿日期:2021-10-12
  • 在线发布日期: 2023-02-28
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