Systems methods and computational devices for automated control of industrial production processes

Abstract

A method of automated control of an industrial reactor-based production process comprises the steps of: a) collecting data associated with performance of a production process of a reactor; b) defining a set of monitored parameters and a set of controlled parameters in the production process; c) defining a model comprising a set of equations mimicking a dynamic behavior of the process of a reactor, wherein in the model, changes in the monitored parameters are linked to changes in the controlled parameters; and d) creating a trained agent obtained by iterative machine learning training code and using the model, wherein the trained agent capable of making decisions regarding controlled parameters to be applied to the reactor based on monitored parameters of the production process.

Description

technical field

[0001] The present invention comes from the field of controlling and optimizing industrial production processes. In particular, the present invention relates to systems, methods and industrial process controllers that allow automated control of industrial reactor-based production processes. The method of the invention includes, inter alia, constructing a mathematical model simulating the dynamic behavior of an industrial process and using the mathematical model to generate an operable computer for controlling the process by providing input to plant controller means of the industrial process controlling the operation of the process code. Background technique

[0002] Publications and other references cited herein are numerically cited hereinafter and are respectively classified in the appended bibliography preceding the claims.

[0003] Industrial production processes, such as fermentation processes or chemical reactor processes, are technically difficult to...

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