中国钼业2026，Vol.50Issue(3)：33-39,7.DOI:10.13384/j.cnki.cmi.1006-2602.2026.03.005
大型露天金属矿山全寿期采剥计划优化方法研究与应用
Research and application of optimization methods for life-of-mine mining and stripping plans in large-scale open-pit metal mines
摘要
Abstract
To address the challenge of excessive decision variables caused by the enormous number of value blocks in life-of-mine min-ing and stripping planning for large open-pit metal mines,this study proposes a value block optimization method based on improved K-means clustering.By aggregating value blocks with similar attributes and spatial proximity into value clusters that satisfy spatial connec-tivity constraints and avoid geometric anomalies,the number of decision variables is significantly reduced.In a case study of a large open-pit copper-molybdenum mine,the number of clusters was only 16.13%of the original value blocks.Building upon this,a 0-1 integer programming model was formulated with the objective of maximizing net present value(NPV),incorporating multiple con-straints such as mining capacity,mineral processing capacity,metal grade fluctuations,concurrent mining bench limits,extraction se-quence,and stripping ratio.The research was implemented using the digital mining software platform DIMINE.Optimization results demonstrated maximized mine NPV while maintaining a stable and reasonable stripping ratio(2.01~2.13),validating the feasibility and effectiveness of the proposed method.关键词
露天矿山/采剥计划/K均值聚合/0-1整数规划/净现值Key words
open-pit mine/mining and stripping plan/improved K-means clustering/0-1 integer programming/net present value(NPV)分类
矿业与冶金引用本文复制引用
陈鑫..大型露天金属矿山全寿期采剥计划优化方法研究与应用[J].中国钼业,2026,50(3):33-39,7.基金项目
国家重点研发计划项目"超大规模金属露天矿低碳开采技术与连续运输装备"(编号:2023YFC2907300) （编号:2023YFC2907300）
