开采沉陷预计数据自动嵌入矿区DEM的方法研究  

Research on the Automatic Embedding of Mining Subsidence Forecast Data into Mine DEM

作　　者：韩奎峰[1] 

机构地区：[1]徐州师范大学

出　　处：《金属矿山》2009年第6期104-106,144,共4页Metal Mine

基　　金：徐州师范大学自然科学基金重点项目(编号:07XLA13)

摘　　要：首先分析了几种开采沉陷预计数据(下沉,倾斜,曲率,水平移动和水平变形)的特点,介绍了上述几种数据的表达方式,根据数据特点提出了沉陷预计结果数据的预处理方法。通过研究提出了将预计结果数据嵌入矿区DEM的方法——双线性重采样插值法,经实例验证该方法达到了预期目标,为矿区的DEM更新做出了贡献。The characteristics of several kinds of forecast resuh data of mining subsidence （ sinking, inclination, curvature, horizontal movement and horizontal deformation） and their representation methods were analyzed. Based on this, a pre-treatment method for the forecast result data of subsidence was proposed. As a result of the research, a method for embedding these data in mine DEM-bilinear resampling interpolation was put forward, which was proved to have attained the goal by real case, making a contribution to mine DEM updating.

关 键 词：概率积分法 开采沉陷预计数据 双线性重采样插值方法 DEM 

分 类 号：TD327[矿业工程—矿井建设] TP391.41[自动化与计算机技术—计算机应用技术]