摘要
文章结合铁路综合视频监控业务特点,梳理出构成无实时视频和录像断点两类典型故障的基本底层事件源,分别建立了故障树并求出最小割集。通过结构重要度分析法分析最小割集中的底层事件源的重要度,做出定性与定量分析,得到底层事件源的结构重要度排序序列,对视频监控系统的两类典型故障告警提出筛选方法,该方法提高了运维故障定位速度,提高了系统的安全性和可靠性。
Based on the characteristics of railway integrated video monitoring service,this paper sorted out the basic underlying event sources that constituted two types of typical faults without real-time video and video breakpoint,respectively established the fault tree and figured out the minimum cut set.Minimum cut set through the analysis of the structure importance degree analysis of the underlying event source to the important degree of qualitative and quantitative analysis,get the underlying event source of collating sequence structure important degree,the video monitoring system of two kinds of typical fault alarm filtering method is proposed,the method improves the operational speed of fault location,improve the security and reliability of the system.
作者
杨栩
YANG Xu(CRSC Communication&Information Corporation Co.,Ltd.Security Technology Branch,Beijing 100070,China)
出处
《现代信息科技》
2020年第7期42-43,46,共3页
Modern Information Technology
关键词
铁路综合视频监控
故障树
二元决策图
结构重要度
railway integrated video monitoring
fault tree
binary decision graph
structural importance