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Design, implementation and testing of an intelligent knowledge-based system for the supervisory control of a hot rolling mill

Yao, L., Postlethwaite, I., Browne, W., Gu, D., Mar, M. and Lowes, S. (2005) Design, implementation and testing of an intelligent knowledge-based system for the supervisory control of a hot rolling mill. Journal of Process Control, 15 (6). pp. 615-628. ISSN 0959-1524

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To link to this item DOI: 10.1016/j.jprocont.2005.03.003

Abstract/Summary

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. (c) 2005 Elsevier Ltd. All rights reserved.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science
ID Code:15487
Uncontrolled Keywords:rolling mill control, supervisory control, intelligent knowledge-based, systems, scheduling, STEEL

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