Mine Geological Modeling and Application Based on the Three-Dimensional Laser Scanner Technology
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摘要: 激光扫描技术(light detection and ranging technology)作为一门新兴的测绘技术, 目前已应用于诸多领域, 然而对于海量测站数据的拼接、大地坐标的定位等方面还存在一些不足.针对这2个问题, 提出分部式拼接方法以解决大数据量难处理的问题, 并利用罗德里格矩阵算法, 编程实现对地物的绝对坐标定位, 完成矿山的地质建模, 是对矿山地质建模新方法的探讨.通过与已知坐标数据的对比, 表明该方法的误差在矿山建模的允许值范围内, 具有较好的适用性.并以内蒙古白音诺尔铅锌矿地质建模为例, 可为覆盖区矿产综合预测提供3D矿床模型及预测要素空间形态特征等方面的参考.Abstract: As a new mapping technology, light detection and ranging has been applied in many areas so far. However, for many aspects, such as the alignment of mass data, the location of geographic coordinates and so on, it still suffers some shortages. This paper, focusing on these two issues, puts forward the method of aligning by division parts to solve the problem of the large amounts of data, and to establish the geology modeling by using Rodrigo matrix algorithm to complete the absolute coordinates for the mine, which is a new method of the geological modeling. By comparison with the coordinate data, it indicates that the error of the method is within the allowed value range for mine modeling, with good applicability. Taking the modeling of Baiyinnuo'er Pb-Zn mine area for example, it can facilitate comprehensive mineral resources prediction for the coverage area, especially in perspectives of the 3D deposit modeling and prediction factor spatial characteristics.
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图 5 实地纹理标靶(a)与点云模型(b)对比
Fig. 5. Photo of texture map for target (a) and points clould for target (b)
图 6 噪声去除前(a)后(b)对比图
Fig. 6. Comparison of noise reduction originally (a) and finally (b)
图 7 Polyworks中白音诺尔铅锌矿床东剖面的拼接图
Fig. 7. Align map for points cloud on east section of Baiyinnuo'er Pb-Zn mine in Polyworks
图 9 绝对定位后整体图与纸质地质图对比
Fig. 9. Comparison of the whole points map being by absolute coordinates location and the geologic map
表 1 标记点坐标系转换对比表
Table 1. Comparison of the coordinate transformation for the target
坐标系 公共点 x(m) y(m) z(m) 待转换坐标系 1 8.07 7.36 -2.02 2 12.60 -1.01 -0.09 3 31.13 11.01 -3.97 4 0.01 0.32 0.02 大地坐标实际值 1 4 924 182.128 40 411 323.45 1 061.246 2 4 924 179.535 40 411 332.36 1 063.063 3 4 924 201.057 40 411 336.90 1 058.897 4 4 924 175.492 40 411 318.38 1 062.206 大地坐标理论值 1 4 924 181.935 40 411 323.50 1 060.457 2 4 924 179.685 40 411 332.33 1 063.787 3 4 924 201.099 40 411 336.89 1 058.962 4 4 924 171.467 40 411 322.71 1 063.369 平均误差 ≤1.006 ≤1.100 ≤0.290 
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