三维可视化环境下矿体空间数据插值

北京大学学报（自然科学版）

三维可视化环境下矿体空间数据插值

吴健生¹, 王仰麟¹, 曾新平², 和志军², 陈振辉²

¹北京大学环境学院，北京，100871；²中国地质大学，北京，100083

收稿日期:2002-11-20 出版日期:2004-07-20 发布日期:2004-07-20

Ore Body Spatial Data Interpolation in 3D Visualization Environment

WU Jiansheng¹, WANG Yanglin¹, ZENG Xinping², HE Zhijun², CHEN Zhenghui²

¹College of Environmental Sciences, Peking University, Beijing, 100871; ²China Geological University, Beijing, 100083

Received:2002-11-20 Online:2004-07-20 Published:2004-07-20

摘要/Abstract

摘要： 大部分地学中的空间数据插值基于二维空间，随着计算机三维可视化工具的出现和功能不断完善，三维空间的数据插值成为可能。矿体的品位、资源量估算以前大多由手工计算完成，在计算机三维可视化环境下，可以快速地实现矿体品位和资源量的高精度估算。其基本原理是首先应用矿体的三维可视化技术建立矿体的三维表面模型，精确地模拟矿体的形态；其次应用块模型方法对矿体内部进行剖分，建立体内部数据模型；最后应用距离反比法和Kriging方法对矿体内部的特性数据（如品位）进行插值估算，获得矿体内部所有块的特性数据，从而得到矿体的内部特征规律。实例研究表明，应用三维空间数据插值方法得到的矿体品位插值结果具有科学合理性，对矿山生产有现实指导意义。

关键词: 三维可视化, 块模型, 空间数据插值, Kriging方法, 距离反比法

Abstract: The spatial data interpolation in geosciences is mostly in two-dimensional space. With three-dimensional environment the three-dimensional spatial data interpolation is possible. Most of ore body grade was calculated by hand, but in 3D visualization environment it can be calculated quickly and precisely. This method includes three parts. The first is that the three surface model is built with visualization technology. The geology body is simulated correctly and its shape is easy to analyze. The second is that the body is disassembled using block model. The inner of ore can be modeled by block model. The third is that inverse distance and Kriging methods are used in spatial data interpolation. The result from example researching shows that the spatial data interpolation methods in 3D environment are reasonable. The tonnage and metal reserve can be calculated.

Key words: 3D visualization, block model, data interpolation, Kriging, inverse distance

中图分类号:

O611.6

吴健生, 王仰麟, 曾新平, 和志军, 陈振辉. 三维可视化环境下矿体空间数据插值[J]. 北京大学学报（自然科学版）.

WU Jiansheng,WANG Yanglin,ZENG Xinping,HE Zhijun,CHEN Zhenghui. Ore Body Spatial Data Interpolation in 3D Visualization Environment[J]. Acta Scientiarum Naturalium Universitatis Pekinensis.