Search

Resource and energy efficiency of industrial production, in particular, food production, is a defining requirement that will ensure its functioning without loss of quality and quantity of final products. This is achieved by observing the requirements for the operational parameters of the company's technological processes and their operational changes. Given the complexity of the functioning of the energy component of the world and Ukraine due to military operations and their consequences, the issue of quality/cost ratio has become more acute. Therefore, for large manufacturing enterprises, the development of systems for supporting management decision-making in accordance with the Industry 4.0 concept becomes relevant. This will contribute to improving the production and economic indicators of the enterprise through coordinated actions of all links of production activities by structuring and processing large amounts of heterogeneous information. The purpose of the study is to develop a decision support system for the task of choosing the structure of an automated control system based on an ontological knowledge base. The developed application ontology uses descriptive logic and is interpreted as part of a digital production double implemented by a single ontological knowledge base and ontological repository. Considering existing international standards, the OWL2 language was chosen for the implementation of the ontological knowledge base. The ontology system architecture contains an ontology server, a Node-Red application, and a user form. A project decision support system that issues recommendations based on requests for the structure of the control system for a technological facility with uncertainties, considering the requirements and restrictions set for each technological process of a food enterprise, reduces the time to choose the appropriate structures, schemes, and methods. Thus, the designer receives the necessary information, supported by knowledge from the subject area, for the synthesis of an effective automated control system. It is also assumed that the ontological system will be expanded by connecting new created applied ontologies that implement related tasks of an industrial enterprise. [ABSTRACT FROM AUTHOR]

Introduction. The research is conducted to justify of substantiating scientific foundations for the functioning of electrotechnological wastewater treatment systems of continuous production. Materials and methods. The approaches towards the creation of technical specifications for continuous production are being analyzed, taking into consideration the criteria of energy efficiency. The study is based on the methods of active and passive experiments on pilot plants and industrial equipment, the methods of cross-effects of water purification methods, the methods of the dominant dynamic pollutant, the modeling concept based on the notations of the universal modeling language UML for efficient processing of measurement information. Results and discussion. The architecture of the control system with adaptive adjustment of control strategies in real time is substantiated. The system makes it possible to make decisions under conditions of disturbances of natural and man-made origin, taking into account the criterion of energy efficiency. The generalized system includes: a local control system and a decision subsystem with an input signal filtering unit (the decision subsystem contains a block for adaptive formation of control strategies in real time based on Kohonen self-organizing maps). Practically implemented approaches to the object-oriented creation and implementation of technological regulations for combined electrotechnological systems for wastewater purification of continuous production. This made it possible to improve the energy efficiency of multicomponent effluent purification processes for a meat processing enterprise deviating the energy efficiency criterion from zero ± 9.6%, and small metallurgy ± 3.4%. The synthesis method of object-oriented technological regulations was further developed to improve the control algorithms for combined electrotechnological water purification systems of continuous production based on the energy efficiency criterion, based on assessing the efficiency of using energy resources as an integral parameter for the removal of pollutants from effluents. Intelligent energyefficient control of the process of removing the contaminants from wastewater is being realized through the synthesis of software and information control of the combined electrotechnology wastewater purification systems based on the object-oriented technical specifications for operation. Conclusion. An improved method for managing the operation of electrotechnological wastewater treatment systems for continuous production ensures compliance with the requirements for the efficient use of energy resources and environmental safety. [ABSTRACT FROM AUTHOR]