Автоматизоване енергоефективне керування процесами переробки залізних руд на базі багаторівневої інформаційно-вимірювальної системи з оптичними сенсорами

• Дата: 2026
• Автори: Швець, Д.В., Котов, І.А., Смолянський, П.С., Шамрай, О.В., Карабут, Н.О.
• Формат: Стаття
• Мова: Українська
• Опубліковано: Vinnytsia National Technical University 2026
• Теми: автоматизоване керування; інформаційно-вимірювальна система; операційні системи; промисловий Інтернет речей; бази даних; кібербезпека; цифрові двійники.
• Онлайн доступ: https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/861
• Назва журналу: Optoelectronic Information-Power Technologies

This paper substantiates the principles of building a multi-level information and measurement system to ensure deterministic data acquisition, transactional validation, and logical abstraction of industrial telemetry. The study aims to improve the energy efficiency and quality of automated control in iron ore processing by developing the architecture of a comprehensive multi-level information and measurement system. The proposed architecture integrates software engineering methods across three control levels. At the edge level, the use of real-time operating systems to manage sensor nodes and machine vision systems is justified. This guarantees the determinism of hardware interrupt processing time, minimizes latency, and allows digital noise filtering directly at the data source. At the logic control level, the use of the object-oriented industrial programming paradigm as defined in IEC 61131-3 is proposed. The creation of a hardware abstraction layer creates hierarchical digital twins of technological units, hiding the low-level details of the equipment and improving code scalability. At the global aggregation level, the advantage of specialized time-series databases is proven. Implementing preliminary data validation mechanisms at the data ingestion stage ensures the transactional integrity of records. This automatically discards duplicates, preventing alarm storms and distorting predictive model performance. The protection of critical infrastructure in mining and processing plants is addressed through the design of the information and measurement system in compliance with the ISA/IEC 62443 international cybersecurity standard. It is shown that the comprehensive implementation of the developed architecture provides a basis for transitioning to proactive adaptive control. This approach stabilizes the operation of technological units in the presence of uncontrolled disturbances, minimizes specific energy consumption for ore preparation, and improves the quality of the iron ore concentrate.