Research on the optimization of water-cooling control in high-speed steel rolling system based on Bayesian network

Author

Zhang, Chong ; Tan, Gangjun ; Shi, Xiaolong

Author_Institution

Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2011

fDate

19-21 Oct. 2011

Firstpage

374

Lastpage

376

Abstract

The existing high-speed wire production line of Wuhan Iron and Steel Group Corporation has the shortage that reliability of water-cooling control system is poor, the temperature of rolling line fluctuation range is large. Taking these problems into consideration, we build a water-cooling temperature model based on Bayesian network in order to improve the control accuracy. And the optimized system works well in the industrial site.

Keywords

belief networks; control engineering computing; cooling towers; optimisation; production engineering computing; reliability; rolling; steel industry; steel manufacture; temperature control; Bayesian network; Wuhan Iron and Steel Group Corporation; control accuracy; high speed steel rolling system; high speed wire production line; industrial site; reliability; rolling line fluctuation range; water cooling control system optimization; water cooling temperature model; Bayesian methods; Temperature control; Temperature distribution; Temperature measurement; Wires;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-61284-374-2

Type

conf

DOI

10.1109/IWACI.2011.6160034

Filename

6160034