FIELD: industrial process control.
SUBSTANCE: invention relates to means of controlling an industrial process based on a predictive model. A method for predicting the chemical composition of a substance used in the process of industrial processing is proposed, and the process of industrial processing is carried out at the processing plant. The method uses an electronic device designed to implement a physical model to create a predictable forecast of the total chemical composition on at least some intermediate output channels; a thermodynamic model to simulate processing within an industrial process, and a machine learning algorithm (MLA), that is designed to predict the future total chemical composition of a substance at any stage of the industrial process based on the current process parameter at any stage of the processing within an industrial process.
EFFECT: expanding the arsenal of tools for processing parameters of an industrial process using machine learning.
21 cl, 6 dwg
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