At present,the main method to analyze safety of dynamic redundancy system structures at home and abroad is based on the Markov model.However,when using the Markov model to analyze the regional comput-er interlocking system,the scope of state space is quite large such that the modeling process and solving proce-dure become very complex.To solve this issue,this paper established the Dynamic Fault Tree model of region-al computer interlocking system from the perspective of system failures,and applied the probabilistic approxi-mation method to solve the probability of falling safety and probability of falling danger,and eventually per-formed a comparison with ones of the Markov method.The researches show as follows:the DFT probabilistic approximation method possesses roughly the same outcome with the Markov method,but its calculation process is quite simple and storage capacity is reletively small;this indicates that the DFT probability approxi-mation method is feasible to calculate the relevant safety indexes for railway signal safety critical systems fea-tured by low failure rates and short maintenance time,and it avoids the heavy and complicated process of the Markov method and provides a new solution to complex dynamic redundancy system safety analysis.%目前,国内外关于动态冗余系统安全性分析的主要方法是 Markov模型。对于区域计算机联锁系统,使用Markov模型进行分析时,其状态空间规模较大,致使其建模及求解过程十分繁琐。为了解决这个问题,本文从系统失效的角度建立区域计算机联锁系统动态故障树模型,采用概率近似法求出系统的安全失效概率和危险失效概率,并将所得结果与 Markov方法所求指标进行比较。研究结果表明,故障树概率近似法和 Markov 方法计算结果十分接近,但计算过程简单且对存储量要求小。说明对于低失效率和短维护时间的铁路信号安全苛求系统,采用故障树概率近似法计算有关安全性能指标切实可行,避免了利用 Markov 方法求解的繁琐过程,为复杂冗余动态系统的安全性分析与计算提供了新的解决方案。
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