基于灰色关联分析的矿床品位估值方案决策分析
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摘要
结合矿床品位估值方案决策的实际需求,提出了基于邓氏关联度的矿床品位估值方案的决策分析方法及步骤,并用于对乌龙泉石灰石矿矿床品位估值方案的优化分析中。考虑矿床品位估值方法和块体单元尺寸、组合样长度、搜索距离和搜索策略等估值参数的变化对该矿矿床品位估值方案关联度的影响,以矿床品位估值方案关联度的变化率为准则,确定方案选择的关键因素是组合样长度和搜索策略。根据乌龙泉石灰石矿矿体赋存特征和配矿要求,最终确定方案X_(29)为最佳方案,该方案的属性分别为块体单元尺寸为10m、克里金法、组合样长度为3m、搜索距离为150m和各向异性的搜索策略。采用优化的参数对该矿品位估值的结果与品位化验数据吻合性较好。
Based on the actual demand for the decision of grade estimation method of ore deposit,a decision analysis method and steps based on the Deng's grey correlation degree for the grade estimation of ore deposit is proposed and used in the optimization analysis of grade estimation in the Wulongquan mine.The influence of the change of valuation parameters such as the block dimension,estimation methods,the length of the combined sample,the search distance and the search strategy on the grey correlation degree of grade estimation scheme of deposit grade is analyzed.The key factors determining the choice of the scheme are the combined sample length and search strategy based on the rate of grey correlation change rate.According to the occurrence characteristics and ore-matching requirements of the Wulongquan limestone ore body,the final scheme X_(29) is the best solution.The attributes of the scheme are the block dimension of 10 m,the kriging method,the combined sample length of 3 m,the search distance of 150 m and anisotropy.By comparing the grade test data of the 1~# muck pile with the estimation results based on the grade distribution model,it can be seen that the difference is little.
Based on the actual demand for the decision of grade estimation method of ore deposit,a decision analysis method and steps based on the Deng's grey correlation degree for the grade estimation of ore deposit is proposed and used in the optimization analysis of grade estimation in the Wulongquan mine.The influence of the change of valuation parameters such as the block dimension,estimation methods,the length of the combined sample,the search distance and the search strategy on the grey correlation degree of grade estimation scheme of deposit grade is analyzed.The key factors determining the choice of the scheme are the combined sample length and search strategy based on the rate of grey correlation change rate.According to the occurrence characteristics and ore-matching requirements of the Wulongquan limestone ore body,the final scheme X_(29) is the best solution.The attributes of the scheme are the block dimension of 10 m,the kriging method,the combined sample length of 3 m,the search distance of 150 m and anisotropy.By comparing the grade test data of the 1~# muck pile with the estimation results based on the grade distribution model,it can be seen that the difference is little.
引文
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[3]周旋,王选问,金瑜.基于地质统计学方法的某铁矿资源量估算[J].金属矿山,2015(7):86-90.ZHOU Xuan,WANG Xuanwen,JIN Yu.Reserves estimation of iron deposit based on geostatistics method[J].Metal Mine,2015(7):86-90.
[4]袁峰,白晓宇,周涛发,等.元素空间分布插值方法的对比研究:以铜陵地区土壤中的重金属元素为例[J].地学前缘,2008,15(5):103-109.YUAN Feng,BAI Xiaoyu,ZHOU Taofa,et al.Comparison between methods for interpolation of studying spatial distribution of elements:a case study of soil heavy metals in Tongling area,south China[J].Earth Science Frontiers,2008,15(5):103-109.
[5]叶义成,柯丽华,黄德育.系统综合评价技术及其应用[M].北京:冶金工程出版社,2006:165-184.
[6]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002:1-150.
[7]NIE Xuan,ZHAO Rongchun,JIANG Zetao.A new image registration method for grey images[J].Journal of Electronics,2004,21(5):426-431.
[8]陈勇明,张明.灰色样条绝对关联度模型[J].系统工程理论与实践,2015,35(5):1304-1310.CHEN Yongming,ZHANG Ming.Gray spline absolute relevance model[J].Systems Engineering-Theory&Practice,2015,35(5):1304-1310.
[9]孙玉刚,党耀国.灰色T型关联度的改进[J].系统工程理论与实践,2008(4):135-139.SUN Yugang,DANG Yaoguo.Improvement on grey Ts correlation degree[J].Systems Engineering-Theory&Practice,2008(4):135-139.
[10]李会鸽,韩跃平,郭静.基于灰色简化B型关联度的图像边缘检测[J].红外技术,2017,39(2):163-167.LI Huige,HAN Yueping,GUO Jing.Image edge detection based on gray relation of simplified B-mode[J].Infrared Technology,2017,39(2):163-167.
[11]柯丽华,何扬扬,张光权,等.乌龙泉矿距离幂次反比法品位估值参数优化[J].金属矿山,2018(7):147-151.KE Lihua,HE Yangyang,ZHANG Guangquan,et al.Optimization of the estimation parameters of the inverse power ratio of Wulongquan mine[J].Metal Mine,2018(7):147-151.