DocumentCode :
569389
Title :
Storage and Query of Condition Monitoring Data in Smart Grid Based on Hadoop
Author :
Wang, Dewen ; Xiao, Lei
Author_Institution :
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Baoding, China
fYear :
2012
fDate :
17-19 Aug. 2012
Firstpage :
377
Lastpage :
380
Abstract :
With the development of smart grid, the amount of condition monitoring data would be huge and far beyond the scope of traditional condition monitoring system. Condition monitoring data has the features of the wide area, panoramic, mass, accurate and reliable, and the methods of conventional data storage and management are obviously difficult to adapt the needs. This paper proposes a processing method of condition monitoring data in smart grid based on Hadoop, in connection with the characteristics of condition monitoring in smart grid and combined with Hadoop cloud computing. A condition monitoring platform based on Hadoop is built and improved, to implement reliable storage and fast parallel processing of massive data.
Keywords :
cloud computing; condition monitoring; data handling; database management systems; parallel processing; power engineering computing; power system measurement; query processing; smart power grids; Hadoop cloud computing; condition monitoring data querying; condition monitoring data storage; data management; data processing; fast parallel processing; smart grid; Cloud computing; Condition monitoring; Distributed databases; Indexes; Memory; Monitoring; Smart grids; Hadoop; cloud computing; condition monitor; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
Type :
conf
DOI :
10.1109/ICCIS.2012.292
Filename :
6300515
Link To Document :
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