基于大数据的电能计量装置异常信息多维分析  

Multi-dimensional Analysis of Abnormal Information in Electric Energy Metering Devices Based on Big Data

作　　者：靳宇 Jin Yu(State Grid Datong Power Supply Company,Datong,Shanxi,China,037006)

机构地区：[1]国网大同供电公司,山西大同037006

出　　处：《仪器仪表用户》2024年第11期6-8,11,共4页Instrumentation

摘　　要：在我国智能电网建设背景下,提高了电能计量设备的智能性。创建电能计量自动化系统收集相关数据,提高电能计量装置的数据量。如何使用可扩展的方式挖掘数据价值成为主要研究课题,基于Hadoop框架的大数据离线处理技术能够对数据进行分布式计算和存储,但是计算速度有差别。电能计量装置异常信息的多维分析存在时效性的限制,如何快速实现异常信息的分析为研究重点。With the development of China's smart grid construction,the intelligence of electric energy metering equipment has been significantly enhanced.The establishment of an electric energy metering automation system has facilitated the collection of relevant data,thereby increasing the volume of data generated by electric energy metering devices.The primary research focus is on how to extract value from this data in a scalable manner.Big data offline processing technology based on the Hadoop framework enables distributed computing and storage of data,although computational speeds can vary.However,the multi-dimensional analysis of abnormal information from electric energy metering devices is constrained by timeliness,making the rapid analysis of such abnormal information a key research area.

关 键 词：大数据 电能计量 异常分析 

分 类 号：R363.124[医药卫生—病理学]