基于大数据技术的多线程通信网络阻塞故障检测方法  

Blocking Fault Detection Method for Multithreaded Communication Networks B ased on Big Data Technology

作　　者：赵旭青 ZHAO Xuqing(Department of Information Engineering,Jiangxi Technical College of Manufacturing,Nanchang 330095,China)

机构地区：[1]江西制造职业技术学院信息工程学院,江西南昌330095

出　　处：《数字通信世界》2023年第6期47-49,共3页Digital Communication World

摘　　要：文章提出基于大数据技术的多线程通信网络阻塞故障检测方法。利用大数据技术,采集通信网路阻塞故障数据。在通信锁相环的定义条件下,拟合阻塞故障信号。选择物理系数指标,实现阻塞故障检测与性质判定。测试结果表明,此检测方法可以提高多线程通信网络阻塞故障的查全率,为通信网络的运行维护管理提供更有力的理论依据。This article proposes a multi threaded communication network blocking fault detection method based on big data technology.Utilize big data technology to collect communication network blocking fault data.Under the definition conditions of communication phase-locked loop,fit the blocking fault signal.Select physical coefficient indicators to achieve blocking fault detection and property judgment.The test results indicate that this detection method can improve the recall rate of blocking faults in multi threaded communication networks,providing a stronger theoretical basis for the operation,maintenance,and management of communication networks.

关 键 词：大数据技术 多线程通信网络 阻塞故障检测 查全率 

分 类 号：TN91[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]