TY - JOUR
T1 - Integrated applications of building information modeling and artificial intelligence techniques in the AEC/FM industry
AU - Zhang, Fan
AU - Chan, Albert P.C.
AU - Darko, Amos
AU - Chen, Zhengyi
AU - Li, Dezhi
N1 - Funding Information:
This study was funded by the Department of Building and Real Estate at The Hong Kong Polytechnic University and the Department of Civil and Environmental Engineering at The Hong Kong University of Science and Technology .
Publisher Copyright:
© 2021
PY - 2022/7
Y1 - 2022/7
N2 - Informatization and automatization are considered mainstream trends in the future architecture-engineering-construction/facility management (AEC/FM) industry. Building information modeling (BIM) is an effective technology to digitize building information, whereas artificial intelligence (AI) techniques facilitate automation. It could be contributive to focus on how to integrate BIM with AI techniques and apply them in actual projects. However, a comprehensive review of integrated applications is still lacking. This study reviews BIM-AI integrations in the AEC/FM industry by systematic-bibliometric analysis, and 183 eligible literature items are adopted. Bibliometric analysis reveals time series, journals, keywords co-occurrence, and co-authorship of eligible literature. Findings are summarized from perspectives of techniques and applications. Three typical integrated modes are determined based on the findings. Ultimately, current challenges and future directions of the development of BIM-AI integrations are proposed. This review contributes to systematically exploring applications of BIM-AI integrations in AEC/FM industry and delivers valuable development directions for BIM and AI.
AB - Informatization and automatization are considered mainstream trends in the future architecture-engineering-construction/facility management (AEC/FM) industry. Building information modeling (BIM) is an effective technology to digitize building information, whereas artificial intelligence (AI) techniques facilitate automation. It could be contributive to focus on how to integrate BIM with AI techniques and apply them in actual projects. However, a comprehensive review of integrated applications is still lacking. This study reviews BIM-AI integrations in the AEC/FM industry by systematic-bibliometric analysis, and 183 eligible literature items are adopted. Bibliometric analysis reveals time series, journals, keywords co-occurrence, and co-authorship of eligible literature. Findings are summarized from perspectives of techniques and applications. Three typical integrated modes are determined based on the findings. Ultimately, current challenges and future directions of the development of BIM-AI integrations are proposed. This review contributes to systematically exploring applications of BIM-AI integrations in AEC/FM industry and delivers valuable development directions for BIM and AI.
KW - Architecture-engineering-construction/facility management
KW - Artificial intelligence
KW - Automation
KW - Bibliometric analysis
KW - Building information modeling
KW - Systematic review
UR - http://www.scopus.com/inward/record.url?scp=85129264209&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2022.104289
DO - 10.1016/j.autcon.2022.104289
M3 - Review article
AN - SCOPUS:85129264209
SN - 0926-5805
VL - 139
JO - Automation in Construction
JF - Automation in Construction
M1 - 104289
ER -