An Architecture for Intelligent Knowledge-Based Supervisory Control of Rolling Mills

Abstract

This paper presents an implemented system architecture for intelligent knowledge-based supervisory control (IKBSC) of a rolling mill process. A novel framework was developed to integrate an expert system with an existing supervisory control system. This resulting IKBSC system was applied to an aluminium hot rolling mill process to improve the shape of low-gauge plate. Trials have demonstrated the advantages of an architecture that integrates knowledge contained within data, plant and human resources with existing model-based systems.