BIM空间关系数据的云存储与检索方法研究  

Research on Cloud Storage and Retrieval Method of BIM Spatial Relational Data

作　　者：姜韶华[1] 吴峥[1] JIANG Shaohua;WU Zheng(Department of Construction Management,Dalian University of Technology,Dalian Liaoning 116024,China)

机构地区：[1]大连理工大学建设管理系,辽宁大连116024

出　　处：《图学学报》2018年第5期835-842,共8页Journal of Graphics

基　　金：国家重点研发计划资助项目(2016YFC0702107)

摘　　要：随着工程项目体量的增大,模型中存在的空间关系更加复杂多样化,现有的建筑信息模型(BIM)数据存储和检索方式无法满足使用要求。为了提高BIM中大量空间关系数据的存储和检索效率,通过集成BIM与云计算技术,提出了一种BIM分布式负载均衡集群方案,在此基础上利用弹性搜索框架(Elastic Search)和图数据库Neo4j实现了IFC空间关系数据的云存储和检索,为海量BIM空间关系数据提供一种高效快速的云存储和检索方法。With the increase of engineering project volume,the spatial relationships existing in the model have been more complicated and diversified,thus the existing methods for storing and retrieving the building information modeling(BIM)data cannot meet the requirements of the users.In order to improve the efficiency of storing and retrieving the large number of BIM spatial relationships data,the solution of BIM distributed load balancing cluster is proposed by integrating BIM and cloud computing technologies.Based on the solution,Elastic Search and graph database Neo4j are adopted to accomplish the storage and retrieval for IFC spatial relationships data,and to provide a faster and more efficient method of cloud storage and retrieval for the massive BIM spatial relationships data.

关 键 词：建筑信息模型 空间关系 云计算 弹性搜索框架 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]