A production knowledge representation and its application in expert control system

Author

Wang Li ; Dejia, Shi

Author_Institution

Dept. of Comput. & Electron. Eng., Hunan Univ. of Commerce, Changsha, China

Volume

8

fYear

2010

fDate

22-24 Oct. 2010

Abstract

Based on the knowledge rule models and the analysis mathematical models, the two-level real-time expert control system (ECS) was established. With the self-learning ability in expert optimal mode, the expert system (ES) was developed to find the calcining zone´s optimal temperature value. To optimize the process, the real-time control system (RTCS) was designed to realize the control of the feeding capacity and negative pressure by self-adjusting algorithm based on CARMA module and least square method. At present, the system was started to work on the stream, and the long-term application shows that it has high reliability and good practicability. Besides, the process and the product quality are developed, and the power is economized.

Keywords

aluminium manufacture; calcination; coke; control engineering computing; expert systems; knowledge representation; least squares approximations; production engineering computing; real-time systems; self-adjusting systems; unsupervised learning; CARMA module; calcining zone optimal temperature value; feeding capacity; knowledge rule model; least square method; mathematical model; negative pressure; product quality; production knowledge representation; self-adjusting algorithm; self-learning ability; two-level real-time expert control system; Carbon; calcinations; expert system; knowledge representation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5619171

Filename

5619171