摘要
目前用电信息采集系统的全覆盖已实现对大量用电信息和异常事件的采集和存储,但由于缺乏相应的数据挖掘工具和系统,导致数据未能得到有效利用。文章基于用电信息采集系统所获得的海量数据,采用数据挖掘技术设计了一个用电异常分析系统。文章设计了系统的功能架构和物理架构,并给出了系统的业务流程。系统通过对异常事件的智能分析,指导用电检查人员进行针对性排查,可有效提高电力系统运行的安全性,为建设坚强智能电网提供有力保障。
At present, the electric consumption inl＇ormation consumption information and abnormal events. However, the data mining system, which results in low usage efficiency acquisition system can collect and store a large of electric system still lacks of data mining tools and the corresponding of massive data. This paper designs an abnormal electric consumption analysis system based on the data mining technology for massive data collected from the electric consumption information acquisition system. This paper describes system ftmctionality architecture, physical architecture and system business processes. By intelligently analyzing abnormal events, the system can guide inspectors to troubleshooting, improve the operation safety of power systems and provide a powerful ensure for the construction of smart grid.
出处
《电力信息与通信技术》
2014年第5期70-73,共4页
Electric Power Information and Communication Technology
关键词
异常事件分析
数据挖掘
用电信息采集系统
智能电网
abnormal event analysis
data mining
electric consumption information acquisition system
smart grid
