Citation: Yi Zhang, Bin Ge, Guo Zheng. The Exploration and Practice of BIM-Based Intelligent Construction in the Hong Kong Infection Control Center Project. Journal of Information Technologyin Civil Engineering and Architecture, 2022, 14(3): 50-56. doi: 10.16670/j.cnki.cn11-5823/tu.2022.03.07
2022, 14(3): 50-56. doi: 10.16670/j.cnki.cn11-5823/tu.2022.03.07
The Exploration and Practice of BIM-Based Intelligent Construction in the Hong Kong Infection Control Center Project
1. | China State Construction Engineering (Hong Kong) Limited, Hong Kong 999077, China |
2. | China State Construction International Medical Industry Development Co., Ltd., Hong Kong 999077, China |
The Hong Kong Infection Control Center project is an anti-epidemic project funded by the central government of the People′s Republic of China for treating COVID-19 patients in the Hong Kong Special Administrative Region (HKSAR). It is the first permanent hospital in China to adopt MiC (Modular Integrated Construction) construction technology and the world′s first all-MiC negative pressure isolation hospital, which has many characteristics such as large management scope, tight construction period, strict construction standards, large number of participants, difficulty in coordination, and high social attention. The project adopts a new design and construction concept, and fully applies intelligent construction technology that uses the full-process BIM (Building Information Modelling) as a platform and deeply integrates information technology such as AR, VR, MES, IoT, 3D laser scanning, and smart site systems, etc. The project has built an information, digital, and intelligent ecosystem based on interconnection and collaboration, and realized the intelligent management of the whole life cycle including project design, production, construction and operation. Intelligent construction provides key technical support for the completion of a high-quality epidemic prevention hospital equipped with 816 negative pressure isolation beds within the extremely tight timeline of 4-month.
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