Big data storage optimization and parallel processing technology for power equipment surveillance under cloud platform

Issue title: Fuzzy Logic based Decision Making

Guest editors: Erik Maehle, Norbert Stoll and Chao-Hsien Chu

Article type: Research Article

Authors: Li, Tianli

Affiliations: City Institute, Dalian University of Technology, Dalian, Liaoning 116600, China | E-mail: lovelybunny@sohu.com

Correspondence: [*] Corresponding author: City Institute, Dalian University of Technology, Dalian, Liaoning 116600, China. E-mail: lovelybunny@sohu.com.

Abstract: This paper describes how to strengthen the management capacity of power equipment surveillance system for big data. Here is the ODPS list storage for partial discharge data of transformer proposed against the limitation of self-built Hadoop storage system. According to analysis of results, it is confirmed that this method can make a lot of storage space available and improve system performance. In relation to Hadoop distributed file system, HBase, ODPS, it has been proven to be highly reliable.

Keywords: Power equipment, surveillance, cloud platform

DOI: 10.3233/JCM-191040

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. S1, pp. 277-284, 2019