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金属矿山 ›› 2022, Vol. 51 ›› Issue (09): 9-17.

• 采矿工程 • 上一篇    下一篇

高海拔地区采矿方法多属性决策优选与实践

韩冲冲1,2谭玉叶1,2陈迪云3戚伟2,4宋卫东1,2   

  1. 1.金属矿山高效开采与安全教育部重点实验室,北京 100083;2.北京科技大学土木与资源工程学院,北京 100083;3.武钢资源集团大冶铁矿有限公司,湖北 黄石435006;4.山东黄金矿业股份有限公司新城金矿,山东 烟台 264000
  • 出版日期:2022-09-15 发布日期:2022-10-12
  • 基金资助:
    国家自然科学基金项目(编号:52004019)

Multi-attribute Decision Optimization and Practice of Mining Method in High Altitude Area Based on Variable Weight Theory

HAN Chongchong1,2TAN Yuye1,2CHEN Diyun3QI Wei2,4SONG Weidong1,2   

  1. 1.Key Laboratory of Efficient Mining and Safety of Metal Mines,Ministry of Education,Beijing 100083,China;2.School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;3.Daye Iron Ore Co.,Ltd.,WisCO Resources Group,Huangshi 435006,China;4.Xincheng Gold Mine,Shandong Gold Mining Co.,Ltd.,Yantai 264000,China
  • Online:2022-09-15 Published:2022-10-12

摘要: 为满足高海拔开采条件下的地下金属矿山采矿方法选择的特殊要求,提出了基于变权重理论的采矿方法多属性决策优选方法。首先,采用层次分析法,以技术、经济、劳动生产率、资源利用率、安全和环境等因素为准则,构建了采矿方法优选多属性决策评价指标体系,并以果洛龙洼金矿急倾斜薄矿体为例,通过工程类比法初步选择了采矿方法优选的备选方案。其次,构造了采矿方法优选多属性决策矩阵,并采用合理的标准化方法进行了矩阵规范化处理。然后,通过层次分析法获得评价指标的常权权重,在此基础上考虑高海拔开采条件对采场生产能力、特殊环境适应程度、人工劳动强度及工作面安全性等评价指标的特殊要求,基于变权理论,通过状态向量函数对各评价指标权重进行动态调整,使权重逼近真实状态,以正确反映工程实际需要。最后,通过TOPSIS逼近理想解的排序法,得出各备选方案的优越度。研究表明:在考虑了待选方案指标状态值的均衡性、对过低指标的惩罚及较优指标的激励条件下,3种待选采矿方案中,方案A1(中深孔分段嗣后充填法)、方案A2(浅孔留矿法)、方案A3(削壁充填法)的优越度分别为62.1%、57.2%和37.3%,方案A1中深孔分段嗣后充填法为最优采矿方法。优选结果符合工程实际,所提方法为地下金属矿山采矿方法优选提供了新思路。

关键词: 金属矿山, 高海拔地区, 变权重理论, 多属性决策, 层次分析法, 采矿方法优选

Abstract: In order to meet the special requirements of mining method selection in underground metal mines under high-altitude mining conditions,a multi-attribute decision-making optimization method for mining methods based on variable weight theory was proposed.First of all,using the AHP,based on factors such as technology,economy,labor productivity,resource utilization,safety and environment,a multi-attribute decision-making evaluation index system for mining method optimization was constructed.Taking the steeply inclined thin orebody of Guoluolongwa Gold Deposit as an example,the preferred alternatives for mining methods were initially selected through engineering analogy.Secondly,a multi-attribute decision-making matrix for mining method optimization was constructed,and the matrix was normalized by a reasonable normalization method.Then,the constant weights of the evaluation indicators were obtained by the AHP.On this basis,the special requirements of the high-altitude mining conditions for the evaluation indicators such as stope production capacity,special environmental adaptation degree,labor intensity and working face safety were considered.According to the variable weight theory,the weight of each evaluation index was dynamically adjusted through the state vector function,so that the weight was close to the real state,so as to correctly reflect the actual needs of the project.Finally,the superior degree of each alternative scheme is obtained through TOPSIS approximation of the ideal solution sorting method.The results show that under the condition of considering the equilibrium of indicator state values,the punishment of over-low indicator and the incentive of better indicator,the superiority degree of three mining method schemes A1(middle-deep hole sublevel subsequent filling method ) ,A2 (shallow hole retention method) and A3 (resuing stoping) are 62.1%,57.2% and 37.3%,respectively,and the middle-deep hole sublevel subsequent filling method of A1 is the optimal mining method.The optimization results are more in line with engineering practice,and this method provides a new idea for the optimization of mining methods in underground metal mines.