A real-time thinking state monitoring system for plant operation

We have developed a real-time thinking state monitoring (RTSM) system for plant operation. First, the conception of plant operation with RTSM is proposed. Second, an estimation method of an operator's thinking state is reviewed. A nonlinear neural-network (NN) model and a linear regression model are applied as the estimation model. Third, the estimation method is experimentally evaluated by off-line analysis. It is confirmed that the NN model has some advantages. Finally, a prototype RTSM system with the NN model is developed and experimentally evaluated. The effectiveness is shown using mathematics problem solving.