基于安全区域估计的列车服务状态实时安全评估研究

Guiling Liao, Yong Qin, Xiaoqing Cheng, Lisha Pan, Lin He, Shan Yu, Yuan Zhang
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引用次数: 0

摘要

针对轨道车辆安全服务的重要问题,迫切需要对轨道车辆及关键设备的服务状态进行在线定量安全评估方法,本文提出了基于安全区域的方法。首先,针对铁路工程实际,给出了安全区域的形式化描述和定义。针对模型已知的研究对象,提出了基于Lyapunov指数的系统稳定性分析安全区域估计方法;针对模型未知的研究对象,提出了数据驱动的安全区域估计方法。这两种方法可以得到不同目标的安全区域边界方程。最后,通过实时分析设备使用状态点与安全区域边界之间的位置关系和广义距离,建立关键设备在线安全评估模型。该方法可为列车运行在线安全评价提供理论依据;基于主动安全思想,为轨道车辆的实时监控、预警和系统维护提供支持
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Real-Time Security Evaluation for the Train Service Status Using Safety Region Estimation
For the important issues of security service of rail vehicles, the online quantitative security assessment method of the service status of rail vehicles and the key equipments is urgently needed, so the method based on safety region was proposed in the paper. At first, the formal description and definition of the safety region were given for railway engineering practice. And for the research objects which their models were known, the safety region estimation method of system stability analysis based on Lyapunov exponent was proposed; and for the research objects which their models were unknown, the data-driven safety region estimation method was presented. The safety region boundary equations of different objects can be obtained by these two different approaches. At last, by real-time analysis of the location relationship and generalized distance between the equipment service status point and safety region boundary, the online safety assessment model of key equipments can be established. This method can provide a theoretical basis for online safety evaluation of trains operation; furthermore, it can provide support for real-time monitoring, early warning and systematic maintenance of rail vehicles based on the idea of active security.a
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