云计算下电力通信网络断点自动检测方法研究  

Research on automatic detection method of power communication network breakpoint under cloud computing

作　　者：孙旸子 佟忠正 SUN Yangzi;TONG Zhongzheng(Guangdong Power Academy Energy Technology Co.,Ltd.,Guangzhou 510080,China;Guangdong Power Information Technology Co.,Ltd.,Guangzhou 510080,China)

机构地区：[1]广东电科院能源技术有限公司,广州510080 [2]广东电力信息科技有限公司,广州510080

出　　处：《自动化与仪器仪表》2020年第9期71-74,共4页Automation & Instrumentation

基　　金：广东电网信息化项目(No.037800HK42180037)。

摘　　要：传统方法在进行电力通信网络断点数据的自动检测中存在召回率低、准确性不高等问题,提出云计算下的电力通信网络断点数据自动检测方法。首先,以FP-tree微蜂窝的全方位构建模式完成连通模型的构建,利用网络查线器进行断点数据信号采集;然后采用小波滤波法完成断点数据信号滤波处理;最后,通过萤火虫算法完成电力通信网络断点数据自动检测。仿真实验结果表明:所提自动检测方法召回率提高了3.1%和2.27%,在检测过程中时间开销最短,准确率更高,能够帮助电力通信网络实现电网规划目标。Traditional methods have problems of low recall rate and low accuracy in automatic detection of power communication network breakpoint data.An automatic detection method of power communication network breakpoint data based on cloud computing is proposed.Firstly,the connection model is constructed by the all-round construction mode of FP-tree microcellular,and the breakpoint data signal is collected by network lookup device;then,the breakpoint data signal is filtered by wavelet filtering method;finally,the breakpoint data of power communication network is automatically detected by firefly algorithm.The simulation results show that the recall rate of the proposed automatic detection method is increased by 3.1% and 2.27%.The detection process has the shortest time overhead and higher accuracy,which can help the power communication network achieve the goal of power grid planning.

关 键 词：云计算 电力通信网络 断点数据 检测方法 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]