摘要
为了实现对光网络中断故障下的快速修复和故障诊断,提高光网络的连通性,进行断点数据定位挖掘,提出一种基于非平稳数据融合滤波检测的光网络断点数据的高效定位挖掘方法。首先构建光网络的节点连通图模型,进行光网络的链路传输信道分析,采用点扫描方法在传输链路层进行光网络的传输数据采样。然后对采样的非平稳数据进行自适应跟踪融合滤波,滤除干扰信息,采用时频特征检测方法实现断点数据定位挖掘。最后进行仿真试验分析,结果表明,采用该方法进行光网络断点数据定位挖掘的精度较高,抗干扰能力较强。
In order to realize fast repair and fault diagnosis under optical network interruption fault,improve the connectivity of optical network,and perform breakpoints data location mining,an efficient location mining method based on filter detection fused with non-stationary data for optical network breakpoints data is proposed. Firstly,the node connectivity graph model of the optical network is constructed,the link transmission channel analysis of the optical network is performed,and the transmission data sampling of the optical network is performed at the transmission link layer by point scanning method. Then,the adaptive tracking fusion filtering is performed on the sampled non-stationary data to filter out interference information,and the time-frequency feature detection method is used to realize the location data mining of the breakpoints. Finally,the simulation test analysis shows that the method has high precision and strong anti-interference ability for optical network breakpoints data location and mining.
作者
苗长芬
MIAO Changfen(School of Computer and Information Engineering,Xinxiang College,Xinxiang Henan 453000,China)
出处
《激光杂志》
北大核心
2019年第2期86-90,共5页
Laser Journal
基金
河南省高等学校重点科研项目(No.18A520049)
河南省科技攻关项目(No.152102210249)
关键词
光网络
断点数据
定位挖掘
融合滤波
检测
optical network
breakpoints data
location mining
fused filtering
detection
作者简介
苗长芬(1977-),女,汉族,河南郑州人,硕士,讲师,研究方向:计算机应用技术,计算机软件与理论。
