EUREKA-II:基于知识的实时控制系统的编程工具

S. Tano, S. Masui, T. Nakano, K. Mori
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引用次数: 2

摘要

一个名为EUREKA-II的知识工程(KE)工具,旨在支持基于知识的实时控制系统的构建。其要求是:知识表示方案和推理方法必须与操作者的知识表示方案和推理方法相对应;易于与传统控制系统连接;具有高效的知识处理能力。为了满足这些要求,EUREKA-II提供了五种知识的表示,即元知识、规则知识、事实知识、程序知识和假设知识。这些类型的知识是由一个高性能推理机制处理的,该机制由一个监督器、一个规则网络处理器、一个基于框架的管理器和一个视图注释管理器组成。这种体系结构允许高层次的知识处理和与现有应用程序的灵活集成。EUREKA-II已成功应用于高炉控制,并正在应用于其他几个领域
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EUREKA-II: a programming tool for knowledge-based real time control systems
A knowledge engineering (KE) tool called EUREKA-II that is intended to support the building of knowledge-based real-time control systems is outlined. Its requirements are: the knowledge representation scheme and the inference method must correspond to those of the operators: easy connection to conventional control systems: efficient knowledge processing capability. To meet these requirements, EUREKA-II provides representation of five types of knowledge, i.e. metaknowledge, rule knowledge, factual knowledge, procedural knowledge, and hypothetical knowledge. These types of knowledge are processes by a high-performance inference mechanism consisting of a supervisor, a rule-network processor, a frame-base manager, and a view-note manager. This architecture allows high-level knowledge processing and flexible integration with existing application programs. EUREKA-II has successfully been applied to blast furnace control and is being applied to several other fields.<>
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