TY - JOUR
T1 - Virtual in-situ modeling between digital twin and BIM for advanced building operations and maintenance
AU - Yoon, Sungmin
AU - Lee, Jeyoon
AU - Li, Jiteng
AU - Wang, Peng
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/12/1
Y1 - 2024/12/1
N2 - A virtual model that mathematically represents operational behaviors is essential for implementing the concepts of digital twins (DTs) and building information modeling (BIM) to achieve intelligent, optimal building operations. However, current research lacks an approach to reliably construct virtual models. This paper introduces a concept named virtual in-situ modeling (VIM), designed to comprehensively represent building behaviors. The VIM framework is based on five key aspects: modeling environments, model types, modeling sources, modeling approaches, and model fusion techniques. VIM bridges BIM and DT, enabling virtual modeling during the operational phase and enhancing both BIM-based DT and DT-enhanced BIM. Case studies conducted using real building operations demonstrate the effectiveness of VIM, achieving a highly accuracy (RMSE of 0.24 °C). Additionally, the VIM-assisted fault detection and diagnosis (FDD) provided early detection and diagnostic estimation, outperforming FDD without the virtual model. This paper highlights the potential of VIM for advanced building operations and maintenance.
AB - A virtual model that mathematically represents operational behaviors is essential for implementing the concepts of digital twins (DTs) and building information modeling (BIM) to achieve intelligent, optimal building operations. However, current research lacks an approach to reliably construct virtual models. This paper introduces a concept named virtual in-situ modeling (VIM), designed to comprehensively represent building behaviors. The VIM framework is based on five key aspects: modeling environments, model types, modeling sources, modeling approaches, and model fusion techniques. VIM bridges BIM and DT, enabling virtual modeling during the operational phase and enhancing both BIM-based DT and DT-enhanced BIM. Case studies conducted using real building operations demonstrate the effectiveness of VIM, achieving a highly accuracy (RMSE of 0.24 °C). Additionally, the VIM-assisted fault detection and diagnosis (FDD) provided early detection and diagnostic estimation, outperforming FDD without the virtual model. This paper highlights the potential of VIM for advanced building operations and maintenance.
KW - Building information modeling (BIM)
KW - Building systems
KW - Digital twin
KW - In-situ modeling
KW - Operation and maintenance (O&M)
KW - Virtual buildings
UR - https://www.scopus.com/pages/publications/85206943215
U2 - 10.1016/j.autcon.2024.105823
DO - 10.1016/j.autcon.2024.105823
M3 - Article
AN - SCOPUS:85206943215
SN - 0926-5805
VL - 168
JO - Automation in Construction
JF - Automation in Construction
M1 - 105823
ER -