Prediction of emergencies in the chemical water cleaning circuit within the framework of the decision-making system based on the compositive model
The task of building a decision-making system within the framework of automated systems of accident-free control of technological processes based on prediction models is considered. The decision-making system includes emergency forecasting system, integral criterion of accident-free control, preventive maintenance system, automated process control system. The aim of the work is to develop a compositive model for predicting emergencies of chemical water cleaning process. MATLAB software package and visual programming environment MICROSOFT VISUAL STUDIO were selected as a toolkit for predicting emergency situations of the technological process. The prediction model is a composition of thermodynamic, linguistic and neural network components. An example of compositive model for forecasting emergency situations of chemical water cleaning process is considered. Computational experimental research of the model is presented. It is concluded that the components of the prediction model complement each other, and an objective assessment of the state of the chemical water cleaning process should be carried out on the basis of the prediction of all three models.