SYSTEMS METHODS AND COMPUTATIONAL DEVICES FOR AUTOMATED CONTROL OF INDUSTRIAL PRODUCTION PROCESSES

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. 一种基于工业反应器的生产过程的自动化控制的方法，包括以下步骤：a)收集与反应器的生产过程的性能相关的数据；b)定义所述生产过程中的一组受监测参数和一组受控参数；c)定义包括一组模拟反应器的过程的动态行为的等式的模型，其中在所述模型中，所述受监测参数的变化与所述受控参数的变化相关联；以及d)创建通过迭代机器学习训练代码并使用所述模型获得的经训练的代理，其中所述经训练的代理能够基于所述生产过程的受监测参数做出有关待应用于所述反应器的受控参数的决策。