Abstract
The ore blending of non-equilibrium grade polymetallic ore is affected by various factors such as mineral resources, production technology, and economic efficiency. Aiming at the problems of Shizhuyuan Polymetallic Mine being diverse in nature, uneven in size, having many mining points, with large grade fluctuation, this paper proposes an optimization method for ore blending based on an artificial bee colony (ABC) algorithm. A multi-metal and multi-objective ore-blending optimization model is established with the minimum fluctuation of ore grade, mining transportation cost, and production capacity as the objective function. The ore mining plan was prepared according to the actual production situation of the mine and the optimization results. While ensuring that the average grade of the output ore reaches the minimum selected grade of the beneficiation plant, the recovery rates of tungsten, molybdenum, and bismuth in the beneficiation plant are significantly increased by 8.95%, 12.20%, and 8.33%, respectively. This study has discovered the first refined and high-efficiency blending of polymetallic ore such as tungsten, molybdenum, and bismuth in China, with simultaneous mining of low-and high-grade ore, cost control, balanced selection of grades, and coordinated production tasks.
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