基于大数据日志的预警技术分析  

Analysis of Early Warning Technology based on Large Data Log

作　　者：胡聪[1] 刘翠玲[1] 吴尚[1] 

机构地区：[1]国网安徽省电力公司信息通信分公司,合肥230022

出　　处：《电气技术》2017年第6期95-98,共4页Electrical Engineering

摘　　要：随着电力网络信息化的发展,信息技术已经深入到电力生产的各个环节。电力系统在运行过程中产生大量的日志信息,其中的某些数据可能包含着与系统的运行状态相关的信息。如何对海量日志信息进行分析处理,深层挖掘信息的潜在价值,从而全面掌握系统状态,及时发现故障隐患是十分重要的。本文对大数据质量提升和分析方法进行了介绍,并对预警模型进行了研究,对大数据背景下电力系统预警技术的研究有一定的参考意义。With the development of information technology in the power network, information technology has gradually penetrated into all aspects of power production. The power system to produce a lot of log information in the operation process, some of which may contain data associated with the running state of the system information, how to log information on mass analysis, the potential value of deep mining information, so as to fully grasp the state of the system, found the problems in a timely manner is very important. In this paper, the method of improving the quality of large data and analysis methods are introduced, and the early warning model is studied, which has a certain reference value for the research of power system early warning technology under the background of big data.

关 键 词：大数据 监控 预警 

分 类 号：TM73[电气工程—电力系统及自动化] TM76