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随着航电系统综合化程度的不断提高,传统的安全性分析方法过于依赖工程经验,难以保证失效模式的完备性。同时在系统迭代设计的过程中,由于系统的复杂性,会导致安全性分析工作量过大,增加了时间及经济成本。针对上述问题,设计了一种自动化安全性分析工具,基于Sys ML描述语言建立安全性数据模型,采用路径追溯的方法完成故障树自动建模,并对生成的故障树进行共模分析和区域安全性分析。以某系统为例的实验结果表明,该工具能够实现故障树自动建模与分析,提高了安全性分析的效率和完备性。
With the continuous improvement of avionics system integration, traditional safety analysis methods rely too much on engineering experience to ensure the completeness of failure modes. At the same time, in the process of system iterative design, due to the complexity of the system, the safety analysis workload will be too large, which increases the time and the economic cost. In view of the above problems, an automatic safety analysis tool is designed, a safety data model is built based on Sys ML description language, the fault tree is automatically modeled by the path tracing method, the common mode analysis and the regional safety Sexual analysis. Experimental results on a system show that the tool can automatically model and analyze the fault tree and improve the efficiency and completeness of the security analysis.