基于二分图模型的通信信息网络故障联合定位

发布时间：2018-07-14 14:38

【摘要】：国家电网信息通信网络依靠两套运维系统,分别实现对信息网络与通信网络的故障定位与分析,然而通信网络故障往往会引发信息网络故障,如何高效精确地进行通信信息网络故障联合定位是亟需解决的问题。针对信息通信网络的联合故障定位问题,提出了基于二分图模型的故障联合定位算法。首先依据通信网网络节点的关联性对网络分簇,并将每一簇作为一个子域。其次在每个子域内建立基于二分图的故障关联影响模型,最终利用目标排序法并行地对多个子域内网络故障进行分析,从而实现通信信息网络关联故障高效精确的联合定位。实验结果表明,该联合故障定位分析方法的故障诊断率达85%~95%。
[Abstract]:The information communication network of State Grid relies on two sets of operation and maintenance system to realize the fault location and analysis of information network and communication network respectively. However, the failure of communication network often leads to information network fault. How to efficiently and accurately locate faults in communication information networks is an urgent problem to be solved. Aiming at the problem of joint fault location in information and communication networks, a fault joint location algorithm based on bipartite graph model is proposed. Firstly, the network is clustered according to the correlation of communication network nodes, and each cluster is regarded as a subdomain. Secondly, a fault association influence model based on bipartite graph is established in each sub-domain, and finally, multiple sub-domain network faults are analyzed in parallel by the objective ranking method, so that the communication information network association fault can be located efficiently and accurately. The experimental results show that the fault diagnosis rate of the combined fault location analysis method is 85% 95%.
【作者单位】：华北电力大学经济与管理学院;国家电网新疆电力公司信息通信公司;国家电网电子商务有限公司;
【基金】：国家电网公司科技项目“信息通信网络联合故障定位与交叉影响分析关键技术研究”(No.526802150008)~~
【分类号】：TP393.06

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