基于灰色关联聚类的光纤传感网络异常数据隔离方法  

Abnormal data isolation method of optical fiber sensor network based on Grey Correlation Clustering

作　　者：刘敏[1] LIU Min(GUANGXI Police College,Nanning 530023,China)

机构地区：[1]广西警察学院,南宁530023

出　　处：《激光杂志》2022年第2期149-153,共5页Laser Journal

基　　金：广西高校中青年教师科研基础能力提升项目(No.2021KY0886);公安部应用创新计划项目(No.2017YYCXGXQT025)。

摘　　要：为解决光纤传感网络异常传输数据影响信号安全传输的问题,提出基于灰色关联聚类的光纤传感网络异常数据隔离方法。构建光纤传感网络传输中异常断点数据采样模型,在采样模型基础上提取光纤传感网络传输中大数据异常谱特征,最后基于灰色关联聚类方法优化的光纤传感网络传输中异常数据隔离算法,实现对异常数据的有效隔离。实验结果表明,所设计的异常数据隔离算法查全率在85%以上,查准率为98.7%以上,且耗时较短,在4 s以内,为光纤传感网络传输数据的安全传输提供参考。In order to solve the problem that abnormal data transmission in optical fiber sensor network affects the safe transmission of signal, an abnormal data isolation method based on Grey Correlation Clustering is proposed. The abnormal breakpoint data sampling model in optical fiber sensor network transmission is constructed. On the basis of the sampling model, the abnormal spectrum characteristics of big data in optical fiber sensor network transmission are extracted. Finally, the abnormal data isolation algorithm in optical fiber sensor network transmission is optimized based on grey relational clustering method to achieve effective isolation of abnormal data. The experimental results show that the recall rate of the designed abnormal data isolation algorithm is more than 85%, the precision rate is more than 98.7%, and the time-consuming is short, within 4 s, which provides a reference for the safe transmission of data in optical fiber sensor networks.

关 键 词：光纤传感网络 异常数据 隔离 采样 灰色关联聚类 

分 类 号：TN29[电子电信—物理电子学] TP393[自动化与计算机技术—计算机应用技术]