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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, Xu Feng, Zhangyueer Yan, Junkun Zhang, Siyue Zhu

发表年份
2025
引用次数
1

摘要

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.

关键词

Computer scienceSystems engineeringConstruction engineeringEngineering

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