基于钻孔信息的二维剖面图的三维实体重建*

为了有效地表示地质应用领域的三维实体，针对矿山地质三维数据的特征，提出了基于钻孔信息的地质体分层模型重建策略。给定原始地质钻孔数据，利用自适应神经网络预测地质体横剖面内信息未知区域的品位属性，生成分层数据；结合离散网络模型自动创建相邻数据分层内控制点之间的拓扑关系，由此建立三维实体的表面模型；然后利用OpenGL造型系统对上述模型进行可视化渲染。最后为验证建模方法的有效性，开发了一套地质体三维建模实验系统，并结合实证数据进行了仿真分析。

3D reconstruction from section plane views based on drill hole information

In order to represent 3D spatial entity effectively in geological engineering, layered model for geological mass was put forward based on drill hole information. Firstly, for the given geological drill hole data, adaptive neural network was adopted to forecast ore grade of information unknown areas within the geological sections and then geological layered data was obtained. Secondly, based on discretization meshwork model, topological relations for control points could be established automatically between adjacent data layers, so as to construct surface model of 3D spatial entity, which could be visualized by OpenGL technique. Finally, a 3D simulation system had been developed and some simulation experiments were made with empirical data to analyze the validity of the modeling method.