欢迎访问《图学学报》 分享到：
图学学报

图学学报

• 智能设计与数字化设计 • 上一篇    下一篇

BIM 空间关系数据的云存储与检索方法研究

  

  1. 大连理工大学建设管理系，辽宁 大连 116024
  • 出版日期:2018-10-31 发布日期:2018-11-16
  • 基金资助:
    国家重点研发计划资助项目(2016YFC0702107)

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

  1. Department of Construction Management, Dalian University of Technology, Dalian Liaoning 116024, China
  • Online:2018-10-31 Published:2018-11-16

PDF (PC)

235

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。

关键词: 建筑信息模型, 空间关系, 云计算, 弹性搜索框架

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