TY - JOUR
T1 - Digital twin for indoor condition monitoring in living labs : university library case study
AU - Opoku, De-Graft Joe
AU - Perera, Srinath
AU - Osei-Kyei, Robert
AU - Rashidi, Maria
AU - Bamdad, Keivan
AU - Famakinwa, Tosin
PY - 2024/1
Y1 - 2024/1
N2 - Digital twin, a technology bridging the physical and digital domains, has found extensive application in digitally advanced industries. However, its adoption in the construction sector remains limited, hindered by challenges related to construction, integration with real-time data capture, and visualisation platforms. This paper presents a construction industry digital twin that combines Building Information Modelling-based data visualisation with an Internet of Things-driven live data capture platform, outlining a methodology for its development. The digital twin was implemented in a university library embodying the ‘Living Lab’ concept to account for the nuances associated with live environments. It integrates sensors with Building Information Modelling to offer a semiotic representation of the library's internal conditions in digital twin, empowering facility managers to proactively optimize thermal, lighting, and air quality.
AB - Digital twin, a technology bridging the physical and digital domains, has found extensive application in digitally advanced industries. However, its adoption in the construction sector remains limited, hindered by challenges related to construction, integration with real-time data capture, and visualisation platforms. This paper presents a construction industry digital twin that combines Building Information Modelling-based data visualisation with an Internet of Things-driven live data capture platform, outlining a methodology for its development. The digital twin was implemented in a university library embodying the ‘Living Lab’ concept to account for the nuances associated with live environments. It integrates sensors with Building Information Modelling to offer a semiotic representation of the library's internal conditions in digital twin, empowering facility managers to proactively optimize thermal, lighting, and air quality.
UR - https://hdl.handle.net/1959.7/uws:73290
U2 - 10.1016/j.autcon.2023.105188
DO - 10.1016/j.autcon.2023.105188
M3 - Article
SN - 0926-5805
VL - 157
JO - Automation in Construction
JF - Automation in Construction
M1 - 105188
ER -