Abstract
The aim of the study is to improve the quality of control of technological processes and production in the metallurgical industry through the synthesis of predictive analytics modules for control systems of technological processes using consolidated data on technological chains. In the course of the research, the analysis of theoretical and practical developments in the field of design was carried out, which showed the need for the design and development of predictive analytics modules in process control systems for industrial enterprises, including metallurgical production, and also the results of the synthesis of design solutions on the structure of integration of predictive analytics modules into operating subsystems of process control system and automatic control system on the example of the PJSC "MMK". During the design, a diagram of the functional structure of the system was built, its subsystems and blocks, their purposes were described, and the description of the control relationships between the objects of the system was made. The implementation of the functionality allows you to improve the quality of finished products, reducing time and labor costs, as well as reducing the share of products of low quality and scrap along the described technological routes.
Keywords
Automation, technological process, intelligent system, control system, predictive analytics, process control system.
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