基于IRML网络模型的LNG卸料系统故障传播分析  

Failure propagation analysis of LNG unloading system based on IRML network model

作　　者：徐康凯 胡瑾秋[1] 董绍华[1] 陈怡玥 冯凌铵 XU Kangkai;HU Jinqiu;DONG Shaohua;CHEN Yiyue;FENG Ling’an(College of Safety and Ocean Engineering,China University of Petroleum (Beijing),Beijing 102249,China)

机构地区：[1]中国石油大学(北京)安全与海洋工程学院,北京102249

出　　处：《中国安全生产科学技术》2022年第4期5-11,共7页Journal of Safety Science and Technology

基　　金：国家重点研发计划项目(2019YFA0708304);国家自然科学基金项目(52074323);中国石油大学(北京)科研基金项目(ZX20200137)。

摘　　要：为研究陆地LNG卸料系统的物理设备、信息网络及人员操作的依赖关系和信息层、人员层对设备层故障传播的影响,基于面向基础设施弹性建模语言(Infrastructure Resilience-Oriented Modelling Language,IRML),从单层网络静态风险分析和多层依赖网络的动态传播2个方面,提出LNG卸料系统故障传播分析方法。研究结果表明:依赖网络的故障传播模型,得到影响系统故障模式和故障传播状态作为时间函数的动态特征,研究结果可进一步为耦合故障溯源和系统恢复预测提供基础。In order to study the dependency of physical devices,information network and human operation of land-based LNG unloading system and the influence of information layer and human layer on the fault propagation of device layer,a fault propagation analysis method of LNG unloading system was proposed from two aspects of static risk analysis of single-layer network and dynamic propagation of multi-layer dependency network based on the infrastructure resilience-oriented modeling language(IRML).The results showed that the fault propagation model of dependency network could obtain the dynamic characteristics affecting the fault mode and fault propagation state of the system as a function of time.It can further provide the basis for the coupling fault tracing and system recovery prediction.

关 键 词：LNG卸料系统 依赖网络 故障传播 IRML 

分 类 号：X937[环境科学与工程—安全科学]