Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Comparison of Intelligent Control Methods for the Ore Jigging Process

Kulakova Yelena, Wójcik Waldemar, Suleimenov Batyrbek, Smolarz Andrzej

International Journal of Electronics and Telecommunications

2021

Vol. 67, No. 3

529-534

Efficient control of the process of jigging ore of small and fine grain allows avoiding the loss of valuable material in production residual. Due to the multi-dimensionality and multi-connectivity of this enrichment process, classical control methods do not allow achieving the maximum technological indicators of enrichment. This paper proposes investigating intelligent algorithms for controlling the jigging process, which determine the key variables - the level of the natural «bed» and the ripple frequency of the jigging machine. Algorithms are developed using fuzzy logic, neural and hybrid networks. The adequacy of intelligent algorithms was evaluated using the following criteria: correlation of expert and model values (R); Root Mean Square Error (RMSE); Mean absolute percentage error (MAPE). To assess the adequacy of the obtained algorithms, a test sample of input variables, different from the training one, was compiled. As a consequence, we determined an algorithm that gives a minimal discrepancy between the calculated and experimental data.

The prospects for the use of intelligent systems in the processes of gravitational enrichment

Suleimenov Batyrbek, Kulakova Yelena

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

2019

T. 9, nr 2

46--49

Intelligent control systems are actively developing and can significantly reduce financial costs and improve the environmental performance of ore-dressing processes. Usage of intelligent control systems for gravitational enrichment allows to minimize costs and negative influence of ore tails on the environment, exclude losses of concentrate and energy resources in the ore-dressing process. The paper discusses the problems and prospects for the application of intelligent control systems of gravity concentration equipment. A structure of the control system and an intelligent model for determining the frequency of pulsation jigging machine based on fuzzy logic are proposed. The model is based on data obtained from experts, it is researched. The obtained results allow to judge about the prospects for the implementation of intelligent systems in the management of ore enrichment.

Zastosowanie inteligentnych systemów zarządzania wzbogacaniem grawitacyjnym zminimalizuje koszty i negatywny wpływ odpadów przeróbczych na środowisko, wyeliminuje straty koncentratu i zasobów energetycznych w procesie zagęszczania rudy. W artykule omówiono problemy i perspektywy zastosowania inteligentnych systemów sterowania urządzeń do wzbogacania metodą grawitacyjną. Zaproponowano strukturę systemu sterowania i model inteligentny do określania częstotliwości maszyny sedymentacyjnej na bazie logiki rozmytej. Model opiera się na danych otrzymanych od ekspertów. Uzyskane wyniki pozwalają nam ocenić perspektywy wdrożenia inteligentnych systemów w procesach kontroli przerobu rudy.