Journal of Zhejiang University SCIENCE
(ISSN 1009-3095, Monthly)
2002   Vol. 3   No. 5   p.538-542

Data-mining massive real-time data in a power plant: challenges, problems and solutions

CHEN Jian-hong(陈坚红)(Institute of Power Plant Thermal Energy Engineering & Automation, Zhejiang University, Hangzhou 310027, China)  
REN Hao-ren(任浩仁)(Institute of Power Plant Thermal Energy Engineering & Automation, Zhejiang University, Hangzhou 310027, China)  
SHENG De-ren(盛德仁)(Institute of Power Plant Thermal Energy Engineering & Automation, Zhejiang University, Hangzhou 310027, China)  
LI Wei(李蔚)(Institute of Power Plant Thermal Energy Engineering & Automation, Zhejiang University, Hangzhou 310027, China)  

Abstract:Nowadays, the scale of data normally stored in a database collected by Data Acquisition System (DAS) or Distributed Control System (DCS) in a power plant is becoming larger and larger. However there are abundant valuable knowledge hidden behind them. It will be beyond people's capacity to analyze and understand these data stored in such a scale database. Fortunately data-mining techniques are arising at the historic moment. In this paper, we explain the basic concept and general knowledge of data-mining; analyze the characteristics and research method of data-mining; give some typical applications of data-mining system based on power plant real-time database on intranet.
Keywords:Data-mining, Power plant, Database, Real-time, Intranet

CLC Number:TK233,TP274  Document ID:A

Foundation Item:Project (No.06-020017) supported by Zhejiang Provincial Electric Power Corp.
Author Resume:CHEN Jian-hong(陈坚红)E-mail: EnergyStar@cmee.zju.edu.cn

References:

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Manuscript Received:2001 Nov. 11

Manuscript Revised:2002 July 21

Published:2002 Dec. 1