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Generative AI Use in the Construction Industry

  • Gozde Basak Ozturk,
  • Fatih Soygazi

摘要

This chapter presents a comprehensive exploration of Generative Artificial Intelligence (AI) and its applications in the Architecture, Engineering, Construction, and Facility Management (AEC-FM) industry. It begins with a general overview of Generative AI, highlighting its capacity to create novel content. The subsequent section delves into the technological requirements for implementing Generative AI in the AEC-FM industry, including Internet of Things (IoT), Distributed Ledger Technology, Computing, Deep Learning, Natural Language Processing (NLP), Knowledge Graph, Computer Vision, and Immersive Technologies. The chapter then proceeds to discuss the wide-ranging applications of Generative AI in the AEC-FM industry, showcasing its potential in enhancing design processes, predictive modeling, operations, and maintenance. Furthermore, the role of Building Information Modeling (BIM) as a facilitator for Generative AI in the AEC-FM industry is explored. Identifying gaps and trends in Generative AI research, the chapter presents a keyword co-occurrence analysis specific to the AEC-FM industry, covering lifecycle management, predictive modeling, machine learning implementation in design, design optimization, constraint-based generative design, and design techniques. Finally, the chapter concludes by examining the future prospects for Generative AI in AEC-FM activities, offering insights into its potential transformative impact on the industry.