Title :
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
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;
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
DOI :
10.1109/CCDC.2008.4597541
