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Дата издания
02.06.2025Область исследования
Тип исследования
Аннотация (краткое описание)
Froth flotation remains one of the primary methods for mineral resource beneficiation. Despite its widespread use, the process’s overall efficiency depends heavily on accurate and timely control of its parameters, highlighting the need for improved automation technologies. Applied methods: This paper reviews current approaches to flotation process automation, focusing on smart technologies, real-time sensors, and predictive control systems. Particular attention is given to methods for pulp level regulation, airflow adjustment, reagent dosing, and pH monitoring. Additionally, the implementation of machine vision systems is considered as a complementary tool for flotation diagnostics and control. Main hypotheses and conclusions: The analysis of existing research underscores the limitations of traditional control strategies and supports the shift toward hybrid, adaptive, and model-free techniques. These emerging approaches provide greater flexibility and responsiveness to process fluctuations. The integration of advanced sensor technologies, visual data processing, and predictive modeling can notably enhance the stability of flotation operations and improve mineral recovery efficiency. Practical significance: The findings of this work offer a scientific foundation for developing innovative automation solutions tailored to flotation processes. These solutions are aimed at optimizing operational performance, reducing manual intervention, and lowering energy and reagent consumption. As such, the adoption of intelligent control systems presents a promising path toward more sustainable and cost-effective mineral processing in modern industry. © National Academy of Sciences of the Republic of Kazakhstan, 2025.DOI
10.32014/2025.2518-170X.464Тип публикаций
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Международные публикации ученых SU
Scopus
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8. 109-119.pdf