摘要
采用拓扑学研究了基于钻孔数据的剖面图自动生成算法问题,给出了层次型钻孔数据库的构建方法,介绍了钻孔勘探线剖面图的绘制方法,包括简单地质界线追踪连接、断层等地质构造的人工辅助绘制等,并以深圳长岭皮水库大坝的钻孔数据为例分别绘制了勘探线剖面图。研究结果表明:钻孔数据地层边界连线与剖面图相互切割实现坝体模型建立达到勘察数据动态查询的目的,属于散乱数据可视化实现的核心,其基础是地质界线的拓扑关系、数据插补和智能追踪。可知,基于概化准则,利用分层处理法对钻孔数据进行处理,确定各地层分别对应的结构单元类型,构建可视化实时查询、分析修正模型,进而实现智能识别是一种可行有效的方法。
The problem of automatic linking algorithm of prospecting line profile map is studied. A new idea based on topology method is applied in a method of hierarchy type database for geology drill data is given. The method of automatic formation of prospecting line profile map isgiven based on the drill database, including incline borehole calculation, simple type ore body linking and manually aided drawing of fault, etc. In the end, the formations of straight and non-straight borehole type prospecting line profile maps based on drill data of Changlingpi earth-rock dam in Shenzhen aredescribedrespectively. The result indicates that the problem of automatic forming of prospecting line profile map based on drill or survey data is the same as the problem of automatic forming of geology cross-section map and it still has not been solved so far. Both of them belong to 2D visualization of mine dispersed data. A feasible method for this problem is to combine vector and grid model and intelligent identifying technique. Based on layered method of generalizing processing rule, the original drilling data is performed and the model form of engineering rock mass which can be constantly monitored, analyzed and corrected is established. Consequently, the intelligent recognition method is proved to be successful.
作者
何建宁
潘世峰
林斌
HE Jianning PAN Shifeng LIN Bin(Shenzhen Xili Reservoir Administration, Shenzhen 518055, China)
出处
《人民珠江》
2017年第3期13-16,共4页
Pearl River
基金
深圳市水务发展专项资金科技创新项目(大坝安全监测信息分析评价系统示范与研究)
关键词
钻孔数据
加高土石坝
坝基分层
坝体分区
剖面图
drilling database
heightened earth-rock dam
dam foundation delamination
dam zone
prospecting line profile map
