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作 者:吴立新[1] 姜云[1] 车德福[1] 祝文君[2]
机构地区:[1]中国矿业大学3S与沉陷工程研究所 [2]清华大学土木系,北京100083
出 处:《中国矿业大学学报》2007年第1期97-102,共6页Journal of China University of Mining & Technology
基 金:北京市自然科学基金重点项目(4041005);国家杰出青年基金项目(50525414);国家自然科学基金项目(40571137);教育部"高校青年教师奖"专项基金联合项目
摘 要:采用模糊综合评估方法,构造了地下空间资源质量评估指标的隶属函数,并确定了隶属度,建立了权重向量与模糊关系矩阵复合运算的模糊综合评估模型.同时提出了基于Grid+Voxel的评估基本单元体空间划分方法.并以北京CBD为例,采用模糊评估模型和基本单元体划分方法,在GeoMo3D系统中进行了地下空间资源质量评估,得到了3D可视化评估结果.结果表明:模糊综合评估和基于Grid+Voxel的基本单元体空间划分能够合理表征地下空间资源质量,是城市地下空间资源质量评估及其3D可视化的一种有效的新方法.Based on fuzzy synthesis evaluation, the membership function of each index for underground space resource quality evaluation was constructed, and the degree of membership was determined. A fuzzy evaluation model for compound calculation between weighted vectors and fuzzy relation matrix was established. Meantime, the spatial division method of Grid+ Voxel-based evaluation cell cube was also put forward. Taking the central business district (CBD) of Belling as an application case,the underground space resource quality was evaluated based on the model of fuzzy synthesis evaluation and the method of Cell cube division, and a group of three-dimensional visualization evaluation results were obtained, The results show that fuzzy synthesis evaluation and Grid+Voxel-based cell cube division are reasonable, and is a new effective method for the evaluation and 3D visualization of underground space resource quality.
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