基于Hadoop大数据框架的BIM数据云平台架构设计与实现

Design and Implementation of the BIM Data Cloud Platform Architecture based on the Hadoop Big Data Framework

随着BIM技术的应用与发展,行业内不再局限于工具软件层面以及项目单体的应用,城市级海量BIM数据的存储、管理和分析的应用需求日益增加。本研究针对此项需求,通过Hadoop大数据框架、云计算技术、Web GL3D显示技术和BIM信息交换模板等技术的结合,提出了适用于海量BIM数据存储、管理和分析应用的BIM数据云平台,并包含以下功能:BIM数据文件解析,基于Web GL的3D可视化、BIM对象查询、BIM对象属性列表、BIM子模型抽取。BIM数据云平台的核心是数据管理,通过Hbase和HDFS,实现了PB级BIM模型的存储与管理,是当前城市级BIM数据管理的理想数据管理平台。

With the development of BIM application in the architecture industry,the BIM technology is no longer treated as merely a tool software and limited to the application in a single building. There is growing demand for the storage,management and analysis of the city-level massive BIM data. For this demand,this paper investigates the integration of technologies including the Hadoop big data framework,cloud computing,Web GL 3D display and BIM information exchange template,and finally proposes a BIM data cloud platform with massive BIM data storage,management and analysis capabilities. The platform can implement many functions,including BIM data file parsing,Web GL based 3D visualization,BIM object query,BIM object attribute list and BIM sub model extraction. The core of the BIM data cloud platform is data management. Through the HBase and HDFS,the storage and management of the PB-level BIM model are realized. Currently,it is an ideal data management platform for the citylevel BIM data management.