This monograph presents a comprehensive theoretical framework and technical roadmap for "Smart Construction" against the backdrop of the Fourth Industrial Revolution. It systematically elucidates the paradigm shift in the architecture, engineering, and construction (AEC) industry, detailing the transition from traditional mechanization and informatization to a new era of "Intelligentization" driven by data and algorithms.
Structured around the complete building lifecycle, the book offers a deep dive into the synergistic integration of Artificial Intelligence (AI)—specifically Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing—with Building Information Modeling (BIM), the Internet of Things (IoT), Big Data, and Cloud Computing. The author bridges the gap between cybernetic theory and engineering practice, providing actionable insights into cutting-edge applications. These range from Generative Adversarial Networks (GANs) for design optimization and automated code compliance checking in the pre-construction phase, to robotic automation, real-time safety monitoring, and dynamic supply chain scheduling during construction, and finally to Digital Twin-based predictive maintenance in the operation phase.
Beyond technical innovation, Smart Construction Powered by AI distinguishes itself through its forward-looking discussion on the socio-technical implications of these technologies. It addresses critical issues such as data ethics, privacy protection, the evolution of legal frameworks, and the urgent need for workforce reskilling. This book serves as an essential strategic guide for researchers, engineers, policymakers, and academic scholars seeking to navigate and shape the future ecosystem of the built environment.
