Prototype of a Digital Twin for the Decomposition Process of Isopropylbenzene Hydroperoxide in the Production of Phenol and Acetone
摘要
A prototype of a digital twin has been developed for the installation of cumene hydroperoxide decomposition in the phenol and acetone production process. The digital twin is based on a specially created neural network model, which enables real-time calculation of the yields of main products and by-products, energy resources, and the resulting conditional profit with a relative error not exceeding 0.73%. The database of process parameters was formed using simulation modeling of the installation operation, followed by verification of the model’s adequacy by comparing the calculated results with actual values of technological parameters. As a prototype of a digital twin for real-time optimization of process parameters taking place in the cumene hydroperoxide decomposition setup, it is proposed to use the ESP-8266 microcontroller, equipped with both built-in and custom software developed in the C programming language.