摘要
配矿是矿山企业降低成本、提质增效的一个重要途径,通过优化配矿,满足生产需求,实现矿石质量的均衡和稳定。因此,根据贵州某矿山铝土矿含量和复杂的特征,运用非线性规划数学模型理论,建立非线性优化模型,对该铝土矿配矿进行科学研究,以矿源结构为分析因素,确定目标函数和约束条件,最终得到在满足生产任务量、质量要求条件下的最优数据,供矿总量141.88万t,供铝土矿综合品位铝硅比分别为8.254和5.880,满足供矿总量不少于130万t,A地区供矿综合品位铝硅比大于7、B地区供矿综合品位铝硅比在4~6的要求,实现了铝土矿供矿质量的可行性分配和合理调整,达到了稳定供矿和降低成本的目的。实践证明,该数学模型理论对于复杂的矿源结构下的配矿优化应用,是可行的和有效的,对其他矿山配矿具有一定的指导意义。
Ore-blending is an important factor for enterprises to reduce cost and improve quality and efficiency. efficiency. The optimized ore-blending can ensure stable output and ore quality. Therefore,according to the content of bauxite from a mine in Guizhou and its complex characteristics,a nonlinear optimization model was built by using the theory of nonlinear programming mathematical model to make scientific research on the blending of bauxite ore. With the structure of ore sources as factors,the objective function and constraints are determined,resulting that the optimal data was obtained,which can meet requirements of production capacity and high quality. As a result,the total ore output is 1. 418 8 million tons and the integrated ore grade ratio of Bauxite in A and B regions are 8. 254 5. 880 respectively. These met the requirement of the output not lower than 1. 3 million tons,the Al Si ratio integrated ore grade in A region is higher than 7,and the Al Si ratio integrated ore grade in B region ranges from 4 to 6. The feasible distribution and reasonable adjustment of bauxite quality in supply were realized,and the purpose of stable ore supply and cost reduction was achieved. The practice proved that the mathematical model theory is feasible and effective for ore blending optimization under complex structure of ore source,and has certain guiding significance for other mines
出处
《金属矿山》
CAS
北大核心
2017年第9期56-59,共4页
Metal Mine
关键词
配矿
非线性优化模型
优化
铝土矿
Ore blending
Nonlinear optimization model
Optimization
Bauxite
