基于改进遗传算法的网络故障数据实时检测系统研究  

Study on improved genetic algorithm based real-time detection system of network failure data

作　　者：李正芳[1] 庞海杰[1] LI Zhengfang;PANG Haijie(Qingdao Binhai University,Qingdao 266555,China)

机构地区：[1]青岛滨海学院,山东青岛266555

出　　处：《现代电子技术》2018年第13期138-141,146,共5页Modern Electronics Technique

摘　　要：针对传统故障数据实时检测方法存在检测效率低的问题,提出基于改进遗传算法的网络故障数据实时检测系统。通过对数据实时检测硬件中分层结构与组网结构的设计可有效控制系统,设计软件功能,并对数据进行采集与处理,构建检测窗口,可随时查看与监测站相连的所有实时衰减数据。基于改进遗传算法可对发生故障组件定位,对染色体编码,将个体染色体基因作为故障诊断基础,为尽可能保证用户正常使用网络而进行结构调整。构造适应度函数,检测网络故障数据。通过实验验证可知,该系统检测效率高,能够实现整个网络故障数据的实时检测。The traditional fault data real-time detection method has low detection efficiency. Therefore,a real-time detection system based on improved genetic algorithm is proposed for network fault data. The design of hierarchical structure and networking structure in hardware of data real-time detection can control the system effectively. The software function is designed to collect and process the data. The detection window is built to check all the real-time attenuation data connected with monitoring station at any moment. Since the improved genetic algorithm can locate the fault components,the chromosomes are coded to take the individual chromosome genes as the basis of fault diagnosis,so as to ensure that users can normally use the network to adjust the structure. The fitness function is constructed to detect network fault data. The experimental results show that the system has high detection efficiency,and can realize the real-time detection of the whole network fault data.

关 键 词：改进遗传算法 网络故障 实时检测 效率 分层结构 衰减数据 染色体 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP393.06[自动化与计算机技术—控制科学与工程]