Welcome to Metal Mine! Today is Share:
×

扫码分享

Metal Mine ›› 2009, Vol. 39 ›› Issue (06): 104-106.

Previous Articles     Next Articles

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

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