期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：242
期号：2
页码：1-7
DOI：10.1088/1755-1315/242/2/022047
出版社：IOP Publishing
摘要：With the development of intelligent substation information integration, power monitoring data has grown exponentially. The characteristics and data monitoring mechanism of intelligent substation monitoring data are studied. Combined with Hadoop cloud computing technology, the reliable storage and online query method of online monitoring data of intelligent substation based on Hadoop is studied. The substation online monitoring and collection of massive power equipment data is redundantly stored in the distributed file system of Hadoop, and the index table structure of the online monitoring data is optimized and stored in a distributed database to realize rapid query of massive monitoring data. A Hadoop-based online monitoring data platform is established to conduct benchmark tests, sequencing tests, and online monitoring data read and write performance tests to meet the reliable storage and high-speed processing needs of large-scale online monitoring data of smart grid substations.
