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Information × Registration Number 0225U001895, (0124U001999) , R & D reports Title Models, methods and information technologies for researching processes and systems in industrial sectors and business popup.stage_title Моделі, методи та інформаційні технології дослідження процесів і систем в промислових галузях та бізнесі Head Ponomarova Olena A., Кандидат технічних наук Registration Date 11-02-2025 Organization Ukrainian State University of Science and Technologies popup.description1 Using information technology capabilities to create models and determine design and modernization parameters for modern complex systems using optimization methods and decision theory at all stages of the system's life cycle. popup.description2  The report presents the results of a research project aimed at developing and implementing modern models, methods, and information technologies for studying, monitoring, and optimizing processes in industrial sectors and business. The main focus is on building intelligent systems that ensure efficient resource management, process automation, and strategic decision-making based on large volumes of data. The first section examines cognitive measurements in intelligent monitoring systems for infrastructure objects, as well as the mathematical modeling of sensor nodes for data collection and analysis. The second section is dedicated to developing software for the optimal design of dynamic processes and systems, implementing dynamic programming algorithms for the automation of production processes and enterprise management. Special attention is given to developing mathematical models for optimizing production processes, considering system stability parameters and economic feasibility. New methodologies for calculating enterprise parameters are proposed, based on the integration of modern mathematical approaches and software tools. In this context, a computer program called "SINTEZ" has been created and tested, allowing for the calculation of optimal production parameters and enabling the simulation of various enterprise operation scenarios. The research also includes an analysis of modern technologies, particularly the use of Apache NiFi, MQTT Mosquitto, InfluxDB, and Grafana for building data collection, transformation, storage, and visualization systems. The advantages of these technologies are identified, such as open-source availability, scalability, low data transmission latency, flexible configuration, and integration capabilities with other services. The research project has significant practical value. The developed solutions can be applied to enhance the efficiency of industrial enterprises, automate complex production processes, and implement modern approaches Product Description popup.authors Yershova Nina M. Velmahina Natalia O. Kryvenkova Liudmyla Yu Kulynych Roman O. Lukashuk Hanna O. Plakhtii Yevhen H. Ponomarov Serhii M. Ponomarova Olena А. Semenikhin Valentyn S. Chupryna Nadiia O. Shybko Oksana M. popup.nrat_date 2025-02-11 Close