中文摘要：

检索相关设计方案于复用是提高建筑设计效率的有效手段。针对传统的三维形状检索方法对建筑模型空间结构表达能力不足的问题,提出一种基于拓扑特征的建筑信息模型检索方法。利用Revit API开发插件提取建筑信息模型房间连接拓扑图（room connectivity topology graphs,RCTG）,然后结合空间句法理论构造建筑空间构形节点深度值表（node depth value table,NDVT）并过滤出候选模型,进而将检索模型和候选模型的NDVT转换为标准化的邻接矩阵并提取相应的特征向量,最后通过相似性度量得到检索结果。实验结果表明,该方法能够有效实现建筑模型局部结构的检索,与单一考虑形状特征的传统三维检索方法相比,检索精准度较高,能够实现建筑模型的高效再利用,具有广泛的应用前景。

英文摘要：

Retrieving relevant design programs for reuse is an effective way to improve the efficiency of architectural design.However,the traditional three-dimensional shape retrieval algorithms lack the ability to express the internal spatial structure of the building models. This paper proposed a building information model retrieval method based on topological features. Firstly,this method used Revit API developing plug to extract the building information model ＇s room connectivity topology graphs（ RCTG）. Then combining with the space syntax theory,it constructed the building information model＇s node depth value table（ NDVT）. The NDVT candidate models could be created by filtering,thus the two models could be converted into standard adjacency matrix and their feature vectors could also be calculated. Finally,by measuring the similarities between the retrieval models and the candidate models,it could obtain the retrieval results. The experimental results show that this method can retrieve the building models＇ local structure effectively. Compared to traditional three-dimensional retrieval algorithms that only take the shape characteristics into consideration,this method has relatively high retrieval accuracy,it can achieve efficient reuse of building models and has broad prospect of application as well.