Introduction of compilation module in С++ to enhance efficiency of identification of froth flotation parameters

Froth flotation of potash is a main method of separation of the product and impurities. The process is controlled manually by an operator who serves the whole flotation floor. This can lead to retarded decision-making and to inaccurate adjustment of feed of flotation reagents and air. One of the ways of avoiding shortages related with human factor is employment of computer vision systems. However, software tailoring to fit specific workflow parameter takes a long time, which impairs accuracy of identification of froth bed parameters. It is proposed to accelerate the identification process through multithreading in determination of the optimal thresholds for glare and anti-glare binarization and the image contrast improvement factor. Since multithreading is impossible in Python, a dedicated dynamic library is created in C++ to implement the multithreaded search of parameters. The time of the search is shortened by 87.4%, which allows identification of parameters in each half-turn of the frother rather than once in a long series of images. Thank to this, the number of the correctly identified bubbles is increased by 8.97%, i.e. the quality of identification of the froth bed parameters in a potash flotation machine is improved. The use of the library in the process flowsheet control can reduce the number of nuisance alarms or enhance accuracy of metering feed of reagents to flotation machine. 

Zatonskiy A. V., Kuznetsov S. V., Plekhov P. V. Introduction of compilation module in С++ to enhance efficiency of identification of froth flotation parameters. MIAB. Mining Inf. Anal. Bull. 2026;(9):150-161. [In Russ]. DOI: 10.25018/0236_1493_2026_9_0_150.

A.V. Zatonskiy¹, Dr. Sci. (Eng.), Professor, Head of Chair, e-mail: zxenon@narod.ru, ORCID ID: 0000-0003-1863-2535,
S.V. Kuznetsov, Master’s Degree Student, Perm National Research Polytechnic University, Perm, Russia, e-mail: kuznetsovstas04@yandex.ru,
P.V. Plekhov¹, Cand. Sci. (Eng.), Assistant Professor, e-mail: onim@rambler.ru,
¹ Perm National Research Polytechnic University, Berezniki Branch, Berezniki, Russia.

A.V. Zatonskiy, e-mail: zxenon@narod.ru.

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