Autonomous mivar decision-making system for food production of dumplings

The subject area of automated dumpling production is analyzed. The need to intellectualize the existing automated process control system has been identified in order to increase sustainability, efficiency and reduce quality losses. The development of an autonomous mivar decision-making system (AMSPS) is proposed as a solution. The aim of the work is to create an autonomous mivar system for monitoring technological parameters, decision support and automatic generation of control actions. The relevance of the work is due to the need for complex data analysis and real-time decision-making in case of deviations from the norm, which goes beyond the capabilities of traditional automation. The system is based on the mivar knowledge base, compiled by formalizing the stages and parameters of the technological process of dumpling production. The result of the work is a functional prototype of the AMSPS, implemented in the CESMI software environment. The system was tested, which confirmed its operability. The article’s materials are of practical value for specialists in food production automation, as well as to researchers integrating intelligent systems into industrial processes. The scientific novelty lies in the substantiation and implementation of an approach to constructing an AMSPS for multi-stage food production based on mivar networks and 48 production rules.

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