论文部分内容阅读
作为一种常用的矿石品位估值方法,距离幂次反比(inverse distance weighting,简称IDW)计算结果的可信度难以评估.对此,提出了一种基于统计学理论的解决途径.将参与IDW估值的样品品位视为指示化阈值,推导得出估值过程中其分配到的权重,即为待估点取这样品值的概率.基于这一结论构建出IDW估计值对应的条件累计分布函数(conditional cumulative distribution function,简称CCDF),从而完成待估位置矿石品位不确定性的建模.以一典型矿区的实际矿体勘探数据为基础进行了对比测试.针对每个估值点的CCDF进行了中位数、期望、方差等信息的提取,验证表明这一方法的计算结果与样品数据的实际情况之间存在较好的吻合度.在一定程度上说明了它在IDW品位估值结果不确定性评价方面的有效性.
As a commonly used method for the estimation of ore grade, it is difficult to estimate the credibility of the result from the inverse distance weighting (IDW) calculation. In this regard, a solution based on statistical theory is proposed. Participating IDW The estimated sample grade is regarded as the indicator threshold, and the weight assigned to it during the valuation process is deduced, that is, the probability of taking the sample value to be estimated. Based on this conclusion, the conditional cumulative distribution corresponding to the IDW estimation value Function (CCDF), so as to complete the modeling of the ore grade uncertainty of the ore to be estimated.Based on the actual ore body exploration data of a typical mining area, a comparative test was carried out.For each valuation point, the CCDF The median, expected, variance and other information were extracted, the verification shows that there is a good agreement between the calculated results of this method and the actual situation of the sample data, to a certain extent, it shows that in the IDW grade valuation results Validity of Uncertainty Evaluation.