摘要
针对地质勘查工程(GEE)过程中对数据建模精度要求高的问题,本研究在简要分析传统三棱柱体积(TPV)建模的基础上,提出了一种基于准三棱柱体积(QTPV)的集成矢量和光栅数据相结合的混合数据模型。根据QTPV的数据逻辑拓扑关系,依次利用相邻属性码、截断平面(SP)和右手定则分别对混合后的矢量光栅数据进行编码、切割和划分。通过模拟基于QTPV建立的矢量光栅数据模型,结果显示:该方法具有较强的划分能力和构建能力,QTPV的总编码数量相比3D FDS和TEN分别少14%和34.8%,并且存储容量分别少3.8%和33.3%。运用矢量光栅数据建模对地质勘探不仅操作简单,并且具有较强的实践意义。
Geological Exploration Engineering （GEE） during the data modeling problem of high precision, this study on the basis of a brief analysis of the traditional triangular prism volume （TPV） modeling, is proposed based on quasi-three-prism volume （ QTPV ） mixed data model integration vector and raster data combination. According to the logical topology QTPV, followed by the use of neighboring property code, truncation plane （SP） and the right-hand rule for the vector were mixed raster data is encoded, cut and divided. Through simulation vector raster data model QTPV established based on the results show： the method has a strong ability to divide and build capacity, the total number of coding compared QTPV 3D FDS and TEN 14% and 34.8% , respectively, less and less storage capacity respectively 3.8% and 33.3%. Using simple vector raster data modeling not only for geological exploration operations, and has a strong practical significance.
出处
《电子设计工程》
2017年第7期6-9,14,共5页
Electronic Design Engineering
基金
国家自然科学基金面上项目(41174108)
