Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/119092
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | en_US |
| dc.contributor | Research Institute for Smart Energy | en_US |
| dc.creator | Ma, T | en_US |
| dc.creator | Xiao, F | en_US |
| dc.creator | Zhang, C | en_US |
| dc.creator | Zhang, J | en_US |
| dc.creator | Zhang, H | en_US |
| dc.creator | Xu, K | en_US |
| dc.creator | Luo, X | en_US |
| dc.date.accessioned | 2026-06-02T06:18:56Z | - |
| dc.date.available | 2026-06-02T06:18:56Z | - |
| dc.identifier.issn | 0926-5805 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/119092 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.subject | Artificial intelligence | en_US |
| dc.subject | Building information modelling (BIM) | en_US |
| dc.subject | Building operation management | en_US |
| dc.subject | Digital twin (DT) | en_US |
| dc.subject | Mixed reality (MR) | en_US |
| dc.title | Digital twin for 3D interactive building operations : integrating BIM, IoT-enabled building automation systems, AI, and mixed reality | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 176 | en_US |
| dc.identifier.doi | 10.1016/j.autcon.2025.106277 | en_US |
| dcterms.abstract | Digital Twin (DT) technology has emerged as a next-generation smart building management solution, seamlessly bridging traditional Building Automation Systems (BAS) with Industry 4.0 innovations such as Building Information Modelling (BIM), artificial intelligence (AI), big data, Internet of Things (IoT), and Extended Reality (XR). However, current DT applications in building operations remain nascent, challenged by multi-source data integration, technology interoperability, and visualization interface development. This study proposes a five-layer DT architecture integrating BIM, BAS, IoT, AI, and MR for 3D interactive building operations, implemented on a typical floor of a high-rise office building incorporating its central air conditioning system. The DT demonstrated both on-site and remote capabilities, including BIM visualization, mapping and navigation, indoor environment monitoring, portable HVAC system monitoring and control, and AI-empowered optimization. These capabilities represent significant advantages in terms of operation management, work efficiency, operator experience and response speed. | en_US |
| dcterms.accessRights | embargoed access | en_US |
| dcterms.bibliographicCitation | Automation in construction, Aug. 2025, v. 176, 106277 | en_US |
| dcterms.isPartOf | Automation in construction | en_US |
| dcterms.issued | 2025-08 | - |
| dc.identifier.scopus | 2-s2.0-105004878363 | - |
| dc.identifier.eissn | 1872-7891 | en_US |
| dc.identifier.artn | 106277 | en_US |
| dc.description.validate | 202606 bchy | en_US |
| dc.description.oa | Not applicable | en_US |
| dc.identifier.SubFormID | G001755/2026-02 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The authors gratefully acknowledge the support of this research by the National Key R&D Program of China (2021YFE0107400) and Innovation and Technology Fund (ITP/002/22LP) of the Hong Kong SAR, China. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.date.embargo | 2027-08-31 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
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