摘要
电力负荷数据采集频率已从分钟级低频数据转向秒级甚至毫秒级的高频数据,数据存储量级呈数百倍增长,对数据的存储及查询的效率要求更高。为处理这些海量数据,设计了基于Hadoop技术的负荷数据存储系统,并验证了该系统具备分布式存储及实时查询的优势,适合智能电网环境下高频负荷数据的存储。
Electric load data acquisition frequency shift from the minute level low frequency data in seconds or even milliseconds of high frequency data,was the order of several hundred times the data storage growth,data storage and query efficiency requirements higher. To deal with these massive data,design data storage system based on Hadoop technologies,and verify that the system has the advantages of distributed storage and real-time queries,suitable for high frequency load data stored under the smart grid environment.
出处
《机电工程技术》
2014年第3期33-35,93,共4页
Mechanical & Electrical Engineering Technology
