中文摘要：

针对爆堆品位分布不均时,露天矿多元素多卸矿点配矿而造成配矿时间长、配矿结果粗略等问题,提出了基于目标规划的露天矿自动化配矿优化方法.将爆堆离散化为若干规则单元块,采用地质统计学方法,以岩粉取样数据为基础,实现对爆堆品位的精细化预测;考虑元素配矿优先级的同时,以品位偏差最小为目标函数,建立基于目标规划的露天矿配矿优化模型;用C＋＋语言编程并调用LPSlove求解器求解,输出露天矿配矿优化方案并自动圈定爆堆采掘范围.该方法应用于内蒙古某大型多金属露天矿,配矿解算快速,其配矿结果在品位指标允许的误差范围之内,极大提高了配矿效率.

英文摘要：

On account of long-time ore blending with multi elements ＆ ore dropping points, and rough ore blending upon the uneven grade distribution of blast heaps, so an open pit automation ore blending method based on goal programming was put forward. Blasting heap was discretized into a number of cell block, then based on the sampling data of rock powder, the accurate prediction the grade of blasting heaps was realized by use of the geostatistics method. Considering the priority of ore blending and taking the minimum grade deviation as the objective function, the optimization model of the open pit ore blending based on goal programming was established. Using C ＋ ＋ language programming and solving the model by the LPSlove, then output the open pit ore blending optimization scheme and enclose the areas of mining area automatically. The method is applied to a large polymetallic open pit in Inner Mongolia,resulting in a quick ore blending computation time, a good ore blending result within the range of allowable error, and a high-efficiency of ore blending.