Abstract
With the popularization of Virtual Reality (VR) technology, the application of the complementary advantages of BIM+VR collaboration in facility management (FM) and asset management (AM) is an emerging research field. This theory holds that BIM information generated and acquired in the life cycle of the facility can improve the management of the facility and asset based on the visual expression of VR technology. With this proposition as a starting point, based on the Ningbo Lishe International Airport's staff restaurant project, the purpose of this paper is to investigate the value of BIM and VR and the challenges they pose in influencing their adoption in AM applications. By establishing a BIM model and a quantitative asset information model, and using the 720 cloud VR platform and related smart devices to complete the visual expression of asset information. The results demonstrated that that the value of BIM+VR in AM comes from the improvement of the existing manual information transfer process, which reduces the data delay to a large extent. Secondly, the accuracy and accessibility of AM data are improved, and the efficiency of the management is improved. The originality of this paper is to prove the great potential of BIM and VR in AM optimization and improvement through real case study, and to provide empirical evidence for the value and challenges of BIM+VR in AM application.
| Original language | English |
|---|---|
| Article number | 012009 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 1048 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2021 3rd International Conference on Resources and Environmental Research, ICRER 2021 - Virtual, Online Duration: 2 Dec 2021 → 4 Dec 2021 |
ASJC Scopus subject areas
- General Environmental Science
- General Earth and Planetary Sciences
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Demand-side thermal modeling-driven control optimization for energy-efficient industrial space cooling
Kong, D. (Author), Du, D. (Supervisor), Zhang, Z. (Supervisor) & Reffat, R. (Supervisor), 15 Mar 2026Student thesis: PhD Thesis
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