一种矿区地表变形三维可视化预计方法  

A Three- dimensional Visualization Prediction Method for Surface Deformation in Mining Area

作　　者：郭献涛[1] 黄腾[1] 张荣春[1] 毛羽丰[1] 邱志伟[1,2] 

机构地区：[1]河海大学地球科学与工程学院,江苏南京210098 [2]河南城建学院测绘工程学院,河南平顶山467036

出　　处：《煤矿安全》2014年第8期145-147,共3页Safety in Coal Mines

基　　金：江苏省普通高校研究生科研创新计划资助项目(CXZZ13_0264);江苏省测绘科研资助项目(JSCHKY201301)

摘　　要：针对目前开采沉陷三维可视化方法中没有考虑矿区三维地形特征的不足,利用CASS提取了矿区原始地形数据,在CASS中实现原始数据的数据加密和粗误差消除,开发了开采沉陷预计系统,并实现了系统与GIS软件的结合,形成了一个包含CASS,开采沉陷预计系统,GIS软件的松散式集成系统,系统实现了开采沉陷数据的采集、预处理、沉陷三维预计与融合、塌陷地表可视化预计更新、空间分析等一系列功能,并且克服了传统沉陷预计系统无法表达矿区塌陷地表状况的不足,大大提高了开采沉陷预计的效率和表达效果。In view of the shortcoming existed in the 3D - visualization method of mining subsidence without considering the 3 D - terrain features in mining areas, CASS is utilized to extract the original terrain data of mining area, which realized the gross error elimination and interpolation of terrain data in CASS, developed mining subsidence forecasting system, and implemented the combination with GIS software, formed a loose type of integrated system including CASS, subsidence forecasting system, GIS software. The system can be used to implement a series of functions including data acquisition, preprocessing, subsidence 3D -forecasting, visual forecasting up- date of subsidence surface and spatial analysis, and it can overcome the shortage of the traditional forecasting system of mining subsidence which cant present the surface condition of subsidence surface in the mining area, greatly improves the efficiency and expressing effect of mining subsidence forecasting.

关 键 词：开采沉陷 概率积分法 地表变形 ARCGIS 可视化预计 

分 类 号：TD679[矿业工程—矿山机电]