稳健统计学在矿山应用中的实践与认识

The application practice and knowledge of robust statistics in mining engineering

以开采沉陷观测站实测参数曲线拟合法求定为例 ,给出了稳健数据处理的一般原理与公式推导过程 ,根据笔者在矿山的诸多科研实践 ,介绍了稳健统计学在开采沉陷预测、地质采矿条件评价、生产指标确定、空间插值与几何制图中的应用效果及其认识 .认为矿山开采是一个复杂的动态过程 ,获取的数据分布往往较复杂且质量较差 ,稳健统计学具有广阔的应用前景 .

Citing an instance of robust determining of actually measured parameters in mining subsidence observation stations,the general principle and deduction process of robust data processing has been given in this paper.Based on actual working, the application results and knowledge of robust statistics has been provided in the mining subsidence prediction,the geological mining condition evaluation and the product targets prediction,the space estimation and the mineral geometrization . The mining is a complicate and dynamic process,and that the obtained data are often complicated and inaccurately distributed.Therefore, robust statistics has wide prospect.