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

doi:10.11996/JG.j.2095-302X.2018050835

Abstract

Abstract: 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.

Key words: BIM, spatial relationship, cloud computing, ElasticSearch

JIANG Shaohua, WU Zheng . Research on Cloud Storage and Retrieval Method of BIM Spatial Relational Data[J]. Journal of Graphics, DOI: 10.11996/JG.j.2095-302X.2018050835.

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

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