Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions

At present, building information modeling (BIM) has been developed into a digital backbone of the architecture, engineering, and construction industry. Also, recent decades have witnessed the fast development of various AI techniques in reliably tackling a huge amount of data under complex and uncer...

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Vydáno v:Archives of computational methods in engineering Ročník 30; číslo 2; s. 1081 - 1110
Hlavní autoři: Pan, Yue, Zhang, Limao
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.03.2023
Springer Nature B.V
Témata:
Algorithms
Artificial intelligence
Augmented reality
Bibliometrics
Building information modeling
Civil engineering
Complexity
Construction industry
Construction management
Data analysis
Decision making
Digital technology
Digital twins
Digitization
Engineering
Internet of Things
Likelihood ratio
Machine learning
Mathematical and Computational Engineering
Review Article
Scientometrics
Trends
Virtual reality
ISSN:1134-3060, 1886-1784
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Abstract At present, building information modeling (BIM) has been developed into a digital backbone of the architecture, engineering, and construction industry. Also, recent decades have witnessed the fast development of various AI techniques in reliably tackling a huge amount of data under complex and uncertain environments. Since both BIM and artificial intelligence (AI) have attracted sustainable attention, the integration of BIM and AI can demonstrate newly added value in handling construction projects with inherent complexity and uncertainty. For a clear understanding of BIM-AI integration in boosting smart construction management, the goal of this paper is to make a comprehensive investigation and summary of its potential value and practical utility to drive the construction industry to catch up with the fast pace of automation and digitalization. Through both the bibliometric analysis and information analysis, this paper provides a deep insight into the status quo and future trends for leveraging AI during the entire lifecycle of a BIM-enabled project. It is worth noting that keywords that are highly cited in the latest two years contain deep learning, internet of things, digital twin, and others, which means AI is evolving as the next frontier to accelerate the revolution in the traditional civil engineering. According to keyword clusters derived from the log-likelihood ratio, we determine six advanced research interests and discuss the state-of-the-art research, including automated design and rule checking, 3D as-built reconstruction, event log mining, building performance analysis, virtual and augmented reality, and digital twin. Besides, a growing force can be put on three potential directions to more broadly adopt the BIM-AI integration, including synthesis of human–machine intelligence, civil-level digital twin, and blockchain, aiming to make BIM and AI live up to expectations.
AbstractList At present, building information modeling (BIM) has been developed into a digital backbone of the architecture, engineering, and construction industry. Also, recent decades have witnessed the fast development of various AI techniques in reliably tackling a huge amount of data under complex and uncertain environments. Since both BIM and artificial intelligence (AI) have attracted sustainable attention, the integration of BIM and AI can demonstrate newly added value in handling construction projects with inherent complexity and uncertainty. For a clear understanding of BIM-AI integration in boosting smart construction management, the goal of this paper is to make a comprehensive investigation and summary of its potential value and practical utility to drive the construction industry to catch up with the fast pace of automation and digitalization. Through both the bibliometric analysis and information analysis, this paper provides a deep insight into the status quo and future trends for leveraging AI during the entire lifecycle of a BIM-enabled project. It is worth noting that keywords that are highly cited in the latest two years contain deep learning, internet of things, digital twin, and others, which means AI is evolving as the next frontier to accelerate the revolution in the traditional civil engineering. According to keyword clusters derived from the log-likelihood ratio, we determine six advanced research interests and discuss the state-of-the-art research, including automated design and rule checking, 3D as-built reconstruction, event log mining, building performance analysis, virtual and augmented reality, and digital twin. Besides, a growing force can be put on three potential directions to more broadly adopt the BIM-AI integration, including synthesis of human–machine intelligence, civil-level digital twin, and blockchain, aiming to make BIM and AI live up to expectations.
Author Zhang, Limao
Pan, Yue
Author_xml – sequence: 1
  givenname: Yue
  surname: Pan
  fullname: Pan, Yue
  organization: Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Department of Civil Engineering, Shanghai Jiao Tong University
– sequence: 2
  givenname: Limao
  surname: Zhang
  fullname: Zhang, Limao
  email: zlm@hust.edu.cn
  organization: School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology
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Artificial intelligence
Augmented reality
Bibliometrics
Building information modeling
Civil engineering
Complexity
Construction industry
Construction management
Data analysis
Decision making
Digital technology
Digital twins
Digitization
Engineering
Internet of Things
Likelihood ratio
Machine learning
Mathematical and Computational Engineering
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Scientometrics
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