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AN ARCHITECTURE FOR INTELLIGENT KNOWLEDGE-BASED SUPERVISORY CONTROL OF ROLLING MILLS

机译:基于智能知识的滚动轧机监督控制体系结构

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摘要

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.
机译:本文提出了一种用于轧机过程的基于知识的智能监督控制(IKBSC)的实现的系统架构。开发了一个新颖的框架,将专家系统与现有的监督控制系统集成在一起。所得的IKBSC系统应用于铝热轧机工艺,以改善低规格板的形状。试验证明了将数据,工厂和人力资源中包含的知识与现有的基于模型的系统集成在一起的体系结构的优势。

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