通信网络中非规则控制故障数据模型研究及实时检测方法应用  

Research on irregular control failure data model in communication network and application of real-time detection method

作　　者：覃炜革 QIN Wei-ge(Guangxi Zhuang Autonomous Region Economic Information Center,Nanning 530022,China)

机构地区：[1]广西壮族自治区经济信息中心

出　　处：《电子设计工程》2019年第10期137-140,145,共5页Electronic Design Engineering

基　　金：江苏省自然科学项目(CX(16)6073)

摘　　要：为解决通信网络中故障数据受控连贯性较差等问题,提出非规则控制故障数据模型及一种新型的实时检测方法。针对已提取的非规则故障数据分段特征,进行重构及诊断操作,并在控制故障参数的基础上,对通信网络的动态故障时间进行规整,完成通信网络中非规则控制故障数据模型的建立。在此基础上,通过对待检测故障数据的选取及处理,完成实时检测平滑指数的计算,并利用上述结果,完善模糊时间检测序列,实现新型实时检测方法的构建。对比实验结果表明,与现有技术手段相比,应用非规则控制故障数据模型及新型实时检测方法后,顺向、逆向故障数据的受控连贯属性参数均得到一定程度的提升。In order to solve the problem of poor control coherence of fault data in communication network,a new fault data model of irregular control and a new real-time detection method are proposed. According to the segmented feature of irregular fault data,reconstructing and diagnosing operations are carried out. On the basis of controlling fault parameters,the dynamic fault time of communication network is regulated,and the establishment of irregular control fault data model in communication network is completed. On this basis,through the selection and processing of the fault data to be detected, the calculation of the real-time detection smoothness index is completed. Using the above results,the fuzzy time detection sequence is improved,and the construction of a new real-time detection method is realized. The experimental results show that,compared with the existing technology,the parameters of the controlled coherence attributes of forward and reverse fault data are improved to some extent by applying the irregular control fault data model and the new real-time detection method.

关 键 词：通信网络 非规则控制 故障数据 分段特征 参数识别 检测序列 

分 类 号：TN915[电子电信—通信与信息系统]