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机构地区:[1]河南工程学院安全工程学院,河南郑州451191 [2]中南大学资源与安全工程学院,湖南长沙410083
出 处:《矿冶工程》2016年第4期8-10,15,共4页Mining and Metallurgical Engineering
基 金:国家高技术研究发展("863")计划项目(2011AA060407);河南工程学院博士基金项目(D2013021);煤矿灾害预防控制实验室河南省高校重点实验室培育基地资助
摘 要:为提高矿体块段模型品位估值时邻近组合样数据搜索的计算效率,加快搜索速度,通过构建包含整个组合样数据空间范围的三维网格,利用三维网格将组合样划分至网格单元块中,计算总索引值和单元块内组合样累计数;然后确定覆盖搜索椭球体的移动网格,并计算移动网格单元块相对于包含椭球体中心的单元块的偏移量。在对块段模型单元块进行品位估值时,依据移动网格的偏移量数组、总索引值和组合样累计数,快速确定估值单元块的邻近组合样,进而通过八分象限、邻近数据个数和每个钻孔数据个数等约束条件限制,得到最终用于克里格或距离幂次反比法估值的组合样数据。该方法通过数据分区和预处理提高了邻近组合样的搜索速度,适用于精确模拟矿体边界的大数据量块段模型品位估值。To improve the computational efficiency and accelerate search ol nearby composite data lor grade estimation ol block mode,a three-dimensional grid covering the spatial extent ol composite data was constructed and used to divide the composites data into cells for calculating the total index value and cumulative number of data for unit cell. The moving grid covering the search ellipsoid was established,and the offset values ol cells within the moving grid relative to the cell containing the center ol ellipsoid were calculated. When estimating the grade values ol block model, the ollset value array ol moving grid,total index values and cumulative number ol composite data were utilized to obtain the nearby data ol each estimating cell. Furthermore,the nearby data were conlined by the liltration ol octant,number ol nearby data and number ol data belonging to the same drill, resulted in the nearby composite data lor estimation methods such as Kriging or inverse distance weight. This algorithm has increased the searching speed ol nearby data by data partition and pre-processing process,and can be applied to the grade estimation lor block model containing large quantity data by simulating the shape ol orebody precisely.
分 类 号:TD672[矿业工程—矿山机电] TP391.72[自动化与计算机技术—计算机应用技术]
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