多目标金属露天矿配矿装载点选取问题及求解算法  

Loading point selection problem and solving algorithm of multi-target metal open-pit mine

作　　者：顾清华[1,2,3] 张文雅 王倩 GU Qinghua;ZHANG Wenya;WANG Qian(School of Management,Xi′an University of Architecture&Technology,Xi′an 710055,China;Xi′an Key Laboratory for Intelligent Industrial Perception,Calculation and Decision,Xi′an 710055,China;School of Resources Engineering,Xi′an University of Architecture&Technology,Xi′an 710055,China)

机构地区：[1]西安建筑科技大学管理学院,西安710055 [2]西安市智慧工业感知计算与决策重点实验室,西安710055 [3]西安建筑科技大学资源工程学院,西安710055

出　　处：《有色金属（矿山部分）》2024年第4期12-20,共9页NONFERROUS METALS(Mining Section)

基　　金：国家自然科学基金资助项目(52374135,52074205);陕西省科技计划项目(2023-CX-TD-12)。

摘　　要：目的:为了减少矿产资源浪费,提高贫矿的利用率,针对大型金属露天矿多装载点配矿问题,综合考虑矿石剩余量不足、铲装设备数量有限等因素对配装载点选取的影响,以品位偏差最小、生产成本最小、车辆总排队时间最短为目标建立配矿装载点选取模型。方法:采用二维矩阵整数编码法,并设计一种基于随机片段交叉与特定变异算子相结合的间接二次遗传优化算法对模型进行求解。结果:以国内某大型金属露天矿实际生产数据为例进行仿真实验,结果表明:所得出的装载点选取方案在受铲装设备数量限制、优先开采矿石剩余量相对较少装载点的条件下,仍能满足配矿计划需求。结论:所提模型、算法能普遍适用于大型金属露天矿山开采,使装载点的矿石得到充分利用。意义:提高了企业的经济效益和矿山整体开采效率。Purpose:In order to reduce the waste of mineral resources and improve the utilization rate of lean ore,considering the influence of insufficient ore surplus and the limited amount of shovel loading equipment on the selection of loading points in large metal open-pit mines,a loading point selection model was established with the objectives of minimum grade deviation,minimum production cost and shortest total queuing time of vehicles.Method:A two-dimensional matrix integer coding method is adopted,and an indirect quadratic genetic optimization algorithm based on random fragment crossing and specific mutation operators is designed to solve the model.Result:Taking the actual production data of a large metal open-pit mine in China as an example,the simulation results show that the loading point selection scheme can still meet the requirements of the ore allocation plan under the condition that the number of shovel loading equipment is limited and the remaining ore of priority mining is relatively small.Conclusion:The proposed model and algorithm can be generally applied to large-scale metal open-pit mining,and the ore at the loading point can be fully utilized.Significance:It improves the economic benefit of the enterprise and the overall mining efficiency of the mine.

关 键 词：金属露天矿 配矿 装载点选取 间接二次遗传 改进遗传算法 仿真实验 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TD85[自动化与计算机技术—控制科学与工程] TD921.6[矿业工程—金属矿开采]