基于智能全站仪的矿区边坡监测三维可视化方法

Three dimensional visualization method for mine slope monitoring based on intelligent total station

以平朔公司一井工矿工业广场边坡为例,利用Arc GIS的3D分析功能,完成了工业广场边坡地形表面的生成和棱镜监测点的空间布置;并根据智能全站仪监测数据,利用Arc GIS的分级着色功能,对监测区域进行分组管理,最终实现边坡监测数据的三维可视化。研究结果表明边坡监测数据的三维可视化分析能够立体、直观的反映监测现场的变形情况,对准确把握变形区位置和保障边坡安全具有重要意义。

Taking a slope of well mining industry square in Pingshuo company for example, using 3D analysis capabilities of Arc GIS, the mine completes generation of slope terrain surface and spatial arrangement of prism monitoring points. According to monitoring data of intelligent total station, using Arc GIS grade coloring, the mine carries out group management for monitoring area to achieve three-dimensional visualization of slope monitoring data. The results show that the three-dimensional visualization analysis of slope monitoring data can reflect the deformation condition of monitoring site, which has important significance to accurately grasp the position of the deformation zone and guarantee slope safety.