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Оптимізація технологічних систем на основі потокового моделювання

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This article focuses on the development of optimization methods for technological processes through the management of energy, material, and information flows. It proposes the creation of symbolic models for various operational modes of technological equipment and methods for setting optimal parameters for each type of flow. The main attention is directed towards the implementation of algorithms capable of precisely diagnosing the state of technological systems and automatically adjusting their operational parameters to maximize the efficiency of production processes. This holistic approach aims not only to increase overall productivity and improve the quality of the final product but also to reduce operational costs through intelligent process management based on detailed data analysis. Such an approach opens new horizons for the further development of automated control systems capable of effectively balancing between the complex interactions of different flows and adapting to production needs in real-time. The work emphasizes the importance of incorporating advanced technologies, such as machine learning and artificial intelligence, into technological processes to enhance adaptability and efficiency. Significant attention is given to the development of user interfaces that facilitate convenient setup and process control, as well as enable integration with other technological control systems within the enterprise. The described approach demonstrates that intelligent flow management can provide not only direct benefits for enterprise efficiency but also contribute to broader sustainable development goals, highlighting the potential for creating state-of-the-art adaptive control systems based on a deep analysis and understanding of technological processes.

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Ковалевський С. В. Оптимізація технологічних систем на основі потокового моделювання // Матеріали LІII науково-технічної конференції підрозділів ВНТУ, Вінниця, 20-22 березня 2024 р. Електрон. текст. дані. 2024. URI: https://conferences.vntu.edu.ua/index.php/all-fmt/all-fmt-2024/paper/view/20677.

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