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基于Hadoop的智能电网状态监测数据存储研究 被引量:52

Research on Data Storage for Smart Grid Condition Monitoring Using Hadoop
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摘要 智能电网需要收集海量设备状态监测数据,这对数据存储与查询提出了更高的要求。为处理这些海量数据,设计并实现了基于Hadoop技术的数据存储系统,包括Hadoop集群、存储客户端和查询客户端。通过基准测试、存储结果验证和查询性能分析,验证了该系统具有分布式海量存储及高效查询的优势,适合智能电网环境下设备状态监测数据的存储。 With the development of smart grid, the mass data collected for the equipment conditioning requires higher performance of data store and data inquiry. A storage system based on Hadoop for smart grid condition monitoring was designed and achieved. The system consists of three parts: Hadoop cluster, storage client and inquiry client. A quantity of experiments were carried out including benchmark on hadoop cluster, verification for storage effect and analysis on query performance, which validate that the system has the advantages of distributed, mass storage and efficient inquiry, and is suitable for dealing with the mass data in condition monitoring of power equipments in smart grid.
出处 《计算机科学》 CSCD 北大核心 2013年第1期81-84,共4页 Computer Science
基金 中央高校基本科研业务费专项资金项目(10QG22)资助
关键词 HADOOP HDFS MAPREDUCE 电力设备 状态监测 智能电网 Hadoop, HDFS, MapReduce, Power equipment, Condition monitoring, Smart grid
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