An Intelligent Training System for a Distillation Tower and its Construction Method

Abstract

In a process control field, systematic training of the plant operator is executed using a training simulator of the plant. However, an adviser who guides the trainee is necessary, and the system cannot be called a completely independent one. Therefore, we developed the intelligent training system for the training of start-up operation of the distillation tower plant. It is possible to study about the plant operation without special knowledge about the simulator or the plant, and it provides a graphical interface also.
In the intelligent training system, it is indispensable to provide the functions to offer timely optimum guidance information according to the situation. In this paper, we show the method to construct an intelligent training system that is used to realize such functions. Focus is on the control for switching inference to organically connect many modularized functions, and on the state transition model to represent the knowledge in a similar manner the human experts would.