Abstract
Modular Integrated Construction (MiC) is a game-changing approach with enhanced quality, productivity, and sustainability, which transforms cast-in-situ into on-site assembly of prefabricated modules. On-site assembly is an uncertain and complex stage in MiC scenario, due to high variability of outside conditions, organization of multi-contractors, and geographic dispersion of activities. Information and Communication Technology (ICT) is adopted to support the reengineering of on-site assembly, however, on-site resources couldn't be efficiently and consistently digitalized and the cyber-physical interoperation is fragmented and out-of-date. Digital twin is a key enabler of ICT revolution to address these challenges towards automated and intelligent construction. This paper introduces a digital twin-enabled smart MiC system (DT-SMiCS) with a robotic demonstration for reengineered on-site assembly. On-site resources are converted into Smart MiC Objects (SMiCOs) attaching with UWB and RFID devices to collect and integrate real-time nD data, such as identity, location, cost, and construction progress. Digital twins of SMiCOs with similar properties and behaviors are instantiated from unified object-oriented templates for item-level mapping and characterizing. Through smart mobile gateway, various on-site resources and activities could be real-timely interoperated with their corresponding digital twins. Cloud-based services are provided for real-time monitoring through high-fidelity virtual models, and remote control with automatic navigations. A testbed robotic demonstration is conducted to verify DT-SMiCS for reengineered on-site assembly.
| Original language | English |
|---|---|
| Article number | 103594 |
| Number of pages | 18 |
| Journal | Computers in Industry |
| Volume | 136 |
| DOIs | |
| Publication status | Published - Apr 2022 |
| Externally published | Yes |
Keywords
- Digital twin
- Modular Integrated Construction (MiC)
- On-site assembly
- Real-time interoperation
- Reengineering
ASJC Scopus subject areas
- General Computer Science
- General Engineering
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