The existing automated process control systems modification concept for general industrial purposes in the digital twins construction of technological processes and digital factories

The purpose of this study is to develop a new conceptual approach to the modernization of existing industrial operated automated process control systems (IOAP CS) in order to integrate them into the technology of building digital twins and digital factories with minimal expenditure of computing resources and reducing the amount of processed data. To solve this problem, it is proposed to modify existing automated process control systems (IOAP CS) sequentially by automation levels so that the volume of redundant information is reduced in the structures of the levels, as well as predicting the values of technological parameters based on the properties of control objects using artificial intelligence in order to use identical values in automated process control systems (IOAP CS) and in their models of digital twins. To obtain information about technological processes with a low degree of automation, it is proposed to use organizational and technical structures based on the theory of graphs with a finite vertex, reflecting the volume and quality of the products obtained using algorithms based on artificial intelligence tools, which make it possible to predict the result of subsequent ones based on the results of the previous stage, taking into account the accumulated experience, this will enable an expert assessment of the correctness of the technological process to achieve the required product properties and performance of the technological unit. The proposed concept of modification of automated control systems (IOAP CS) for technological processes in operation will make it possible to ensure the transition to building digital counterparts of technological processes with minimal time using available computing resources with minimal loss of the volume of products.