Author/Authors
L. Yao، نويسنده , , I. Postlethwaite، نويسنده , , W. Browne، نويسنده , , G. D. Gu and M. C. Asensio، نويسنده , , M. Mar and S. Lowes، نويسنده ,
DocumentNumber
1384679
Title Of Article
Design, implementation and testing of an intelligent knowledge-based system for the supervisory control of a hot rolling mill
شماره ركورد
11319
Latin Abstract
This paper describes the design, implementation and testing of an intelligent knowledge-based supervisory control (IKBSC) system
for a hot rolling mill process. A novel architecture is used to integrate an expert system with an existing supervisory control
system and a new optimization methodology for scheduling the soaking pits in which the material is heated prior to rolling. The
resulting IKBSC system was applied to an aluminium hot rolling mill process to improve the shape quality of low-gauge plate
and to optimise the use of the soaking pits to reduce energy consumption. The results from the trials demonstrate the advantages
to be gained from the IKBSC system that integrates knowledge contained within data, plant and human resources with existing
model-based systems.
From Page
615
NaturalLanguageKeyword
rolling mill control , Supervisory control , Intelligent knowledge-based systems , Scheduling
JournalTitle
Studia Iranica
To Page
628
To Page
628
Link To Document