Research on the Application of BIM and Digital Twin-Based Artificial Intelligence Technologies in the Full Lifecycle of Building Construction

The emergence of new quality productive forces has served as robust impetus for the transformation and upgrading of the construction industry. To systematically investigate the synergistic effects arising from the integration of artificial intelligence (AI) with construction practices, this study categorizes AI applications into three phases: design, construction, and operation and maintenance (O&M). In the design phase, Building Information Modeling (BIM) and generative AI are synergistically employed to optimize architectural solutions. During the construction phase, intelligent construction robots, 5G-enabled tower cranes and other automated equipments are integrated with BIM and Augmented Reality (AR) platforms. This combination increases managerial and operational efficiency. For the O&M phase, a digital twin platform supported by Internet of Things (IoT) networks and AI-driven predictive analytics enables preventive equipment maintenance and energy consumption optimization. Taking Xiong'an New Area as a representative case study, this research demonstrates that the symbiotic integration of AI technologies with construction substantial improvements across project lifecycles, operational efficiency, and safety performance. These advancements provide both practical evidence and technical pathways to support future urban renewal initiatives.

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Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1145/3747012.3747033
Primary Topic
BIM and Construction Integration
Type
article
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0.00
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Research on the Application of BIM and Digital Twin-Based Artificial Intelligence Technologies in the Full Lifecycle of Building Construction

Bairu Xiao, Siyue Zhu, Junkun Zhang, Zhangyueer Yan et al.
BIM and Construction Integration
article

Research on the Application of BIM and Digital Twin-Based Artificial Intelligence Technologies in the Full Lifecycle of Building Construction

Bairu Xiao, Siyue Zhu, Junkun Zhang, Zhangyueer Yan, Xu Feng
article en

Abstract

The emergence of new quality productive forces has served as robust impetus for the transformation and upgrading of the construction industry. To systematically investigate the synergistic effects arising from the integration of artificial intelligence (AI) with construction practices, this study categorizes AI applications into three phases: design, construction, and operation and maintenance (O&M). In the design phase, Building Information Modeling (BIM) and generative AI are synergistically employed to optimize architectural solutions. During the construction phase, intelligent construction robots, 5G-enabled tower cranes and other automated equipments are integrated with BIM and Augmented Reality (AR) platforms. This combination increases managerial and operational efficiency. For the O&M phase, a digital twin platform supported by Internet of Things (IoT) networks and AI-driven predictive analytics enables preventive equipment maintenance and energy consumption optimization. Taking Xiong'an New Area as a representative case study, this research demonstrates that the symbiotic integration of AI technologies with construction substantial improvements across project lifecycles, operational efficiency, and safety performance. These advancements provide both practical evidence and technical pathways to support future urban renewal initiatives.

Wuhan Polytechnic University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
BIM and Construction Integration
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Research on the Application of BIM and Digital Twin-Based Artificial Intelligence Technologies in the Full Lifecycle of Building Construction — Bairu Xiao, Siyue Zhu, et al. · (2025) | TGRS Research Map | TGRS