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采充协同作用下地下矿山短期计划优化

Coordinated mining and backfilling optimization for short-term underground mine planning
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摘要 传统矿山短期生产计划优化研究围绕经济和生产指标,忽视了矿山固废处置的环境影响。生产计划和进度直接决定充填过程和尾砂消耗,进而影响其他尾砂处置策略。本文提出了一个采充协同作用下的矿山短期计划优化模型,添加了充填尾砂消耗限制,将充填尾砂消耗量波动最小设定为优化目标。最终实现了采矿和充填计划的联合优化。结果表明:相比传统模式,该模型每月可减少尾砂堆存量超过30%,降低了尾砂对环境的损害,提升了尾砂绿色处置比例。同时,模型输出的出矿量和品位波动满足矿山生产要求。 Traditional researches on optimizing short-term mine production schedules often focus on economic and production metrics,neglecting the environmental impact of mine waste management.Production schedules directly determine the backfilling processes and tailings consumption,thereby influencing other tailings disposal strategies.This paper proposed a short-term mine planning optimization model under mining-backfilling coordination,incorporating backfill tailings consumption constraints.The minimization of fluctuation in backfill tailings consumption was set as the optimization objective.The model ultimately achieved joint optimization of mining and backfilling schedules.The results show that,compared to traditional methods,the model can reduce monthly tailings storage by over 30%,minimizing environmental impact from tailings while increasing the proportion of green tailings disposal.Meanwhile,the model’s output of extracted ore tonnage and grade fluctuations meet the mine’s production requirements.
作者 刘雨行 李国清 侯杰 栾黎明 范纯超 王攀志 LIU Yuhang;LI Guoqing;HOU Jie;LUAN Liming;FAN Chunchao;WANG Panzhi(School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;Key Laboratory of High-Efficient Mining and Safety of Metal Mines of the Ministry of Education,University of Science and Technology Beijing,Beijing 100083,China;Shandong Gold Group Co.,Ltd.,Jinan 250102,China;Jiaojia Gold Mine,Shandong Gold Group Mining(Laizhou)Co.,Ltd.,Laizhou 261441,China;Department of Civil and Environmental Engineering,National University of Singapore,Singapore 119077,Singapore)
出处 《中国有色金属学报》 EI CAS CSCD 北大核心 2024年第11期3887-3898,共12页 The Chinese Journal of Nonferrous Metals
基金 国家重点研究计划资助项目(2022YFC2903905) 国家自然科学基金资助项目(52074022)。
关键词 尾砂充填 生产计划优化 整数规划 绿色矿山 环境效益 tailings backfill production scheduling optimization integer programming green mine environmental benefit
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