东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (7): 1031-1036.DOI: 10.12068/j.issn.1005-3026.2017.07.025

• 资源与土木工程 • 上一篇    下一篇

基于目标规划的露天矿多元素配矿优化

王李管1,2, 宋华强1,2, 毕林1,2, 陈鑫1,2   

  1. (1. 中南大学 资源与安全工程学院, 湖南 长沙410083; 2. 中南大学 数字矿山研究中心, 湖南 长沙410083)
  • 收稿日期:2016-04-22 修回日期:2016-04-22 出版日期:2017-07-15 发布日期:2017-07-07
  • 通讯作者: 王李管
  • 作者简介:王李管(1964-),男,山西临汾人,中南大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(41572317); 中南大学创新驱动计划项目(2015CX005).

Optimization of Open Pit Multielement Ore Blending Based on Goal Programming

WANG Li-guan1,2, SONG Hua-qiang1,2, BI Lin1,2, CHEN Xin1,2   

  1. 1. School of Resources and Safety Engineering, Central South University, Changsha 410083, China; 2. Center of Digital Mine Research, Central South University, Changsha 410083, China.
  • Received:2016-04-22 Revised:2016-04-22 Online:2017-07-15 Published:2017-07-07
  • Contact: BI Lin
  • About author:-
  • Supported by:
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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.

关键词: 多元素, 配矿, 精细化预测, 目标规划, 自动圈定

Abstract: 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.

Key words: multielement, ore blending, accurate prediction, goal programming, automatic enclosing

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