A multitasking knowledge-based system for control applications

Abstract

Knowledge-based systems can provide several intelligent features for control applications, which decrease their dependency on human operators. As industrial systems become more complex, the response time and the amount of thinking required to control a large number of instruments far surpass the capability of humans. This paper describes a knowledge-based tool architecture that is supported by a multitasking inference engine and an interfacing hardware for data acquisition. The tool Features a high-level language for creating rules, models and procedures. It also includes concurrent execution of rules and the ability to reason about behavior over time.