基于Hadoop的配电网数据存储及查询方法研究  

Research on Data Storage and Query Method of Distribution Network Based on Hadoop

作　　者：吕颖利[1] 李春光[1] LV Yingli;LI Chunguang(Jiyuan Vocational and Technical College,Jiyuan 459000,China)

机构地区：[1]济源职业技术学院,河南济源459000

出　　处：《通信电源技术》2022年第9期146-149,共4页Telecom Power Technology

摘　　要：泛在电力物联网中大数据的存储和查询是至关重要的环节。重点探索了基于规范化集成的数据集成方法和配电网大数据的存储需求,主要研究了Hadoop等系统文件的分布情况、Hadoop分布式文件系统(Hadoop Distributed File System,HDFS)以及MapReduce模型的框架结构,进而对数据存储分布进行优化升级,并进行联合查询的工作。The storage and query of large data in the power Internet of Things(IoT)is a crucial link.In this study,it mainly explores the method of data integration based on standardized integration and storage requirements of large data in distribution network.It mainly studies the distribution of system files such as Hadoop,the framework structure of Hadoop Distributed File System(HDFS)and MapReduce model,and then optimizes and upgrades the distribution of data storage and carries out joint query.

关 键 词：配电网 大数据 HADOOP MAPREDUCE模型 

分 类 号：TM73[电气工程—电力系统及自动化] TP333[自动化与计算机技术—计算机系统结构]