Citation:
Zhou Xiangdong, Xu Minyang, Gao Chengyong, Wang Guojian. Design and Implementation of the BIM Data Cloud Platform Architecture based on the Hadoop Big Data Framework. Journal of Information Technologyin Civil Engineering and Architecture,
2018, 10(2): 12-16.
doi: 10.16670/j.cnki.cn11-5823/tu.2018.02.03
2018, 10(2): 12-16. doi: 10.16670/j.cnki.cn11-5823/tu.2018.02.03
Design and Implementation of the BIM Data Cloud Platform Architecture based on the Hadoop Big Data Framework
| 1. | School of Computer Science, Fudan University, Shanghai 200433, China |
| 2. | Arcplus Group PLC, Shanghai 200041, China |
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, WebGL 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, WebGL 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 city-level BIM data management.
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