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金属矿山 ›› 2009, Vol. 39 ›› Issue (06): 104-106.

• 地质与测量 • 上一篇    下一篇

开采沉陷预计数据自动嵌入矿区DEM的方法研究

韩奎峰   

  1. 徐州师范大学
  • 出版日期:2009-06-08 发布日期:2011-07-21
  • 基金资助:

    徐州师范大学自然科学基金重点项目(编号:07XLA13)。

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

Han Kuifeng   

  1. Xuzhou Normal University
  • Online:2009-06-08 Published:2011-07-21

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。

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

Abstract: The characteristics of several kinds of forecast result 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.

Key words: Probability integral method, Mining subsidence forecast data, Bilinear resampling interpolation, DEM