A new model for the industrial process control based on Data Mining

Author

Zhuo, Chen ; Yang Bingtu ; Yinglong, Wang ; Zefeng, Song

Author_Institution

Dept. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing

fYear

2008

fDate

2-4 July 2008

Firstpage

1368

Lastpage

1370

Abstract

In this paper, we propose a new model for the industrial process control based on data mining. It solves the problem to a certain extent, which difficult to diagnose and forecast the state of the aluminium electrolysis cell. It realizes that the control parameter optimized decision-making, and the evolution regularity of the state of aluminium electrolysis also be discovered. Finally, it enhances the electrolysis efficiency, reduces the energy consumption, and makes the industrial process more intelligence.

Keywords

data mining; decision making; expert systems; process control; aluminium electrolysis cell; data mining; electrolysis efficiency; energy consumption reduction; expert system; industrial process control; optimized decision making; Aluminum; Data mining; Electrical equipment industry; Electrochemical processes; Energy consumption; Expert systems; Industrial control; Knowledge acquisition; Mining industry; Process control; Data Mining; Expert System; Process Control; Saving Energy;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597541

Filename

4597541