Mohammad Amanzadegan; Yaghowb Peyvastehgar; Ali Akbar Heidari; Razieh Malekhosseini
Abstract
Building Information Modeling (BIM) has revolutionized the construction industry by improving efficiency and simplifying building project methods. Integrating BIM with digital systems such as artificial intelligence (AI) removes barriers and makes the project life cycle more productive and beneficial. ...
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Building Information Modeling (BIM) has revolutionized the construction industry by improving efficiency and simplifying building project methods. Integrating BIM with digital systems such as artificial intelligence (AI) removes barriers and makes the project life cycle more productive and beneficial. The benefits of BIM and AI go beyond 3D modeling and building plans. They manage and control the entire construction project life cycle from start to the end. The aim of the current research is to provide a comprehensive understanding of the process of AI-BIM integration, which has been carried out by various researchers around the world. To achieve this goal, 380 articles published in 2015-2021 have been systematically analyzed through Scopus reference database. This research presents a systematic review of qualitative research to identify the characteristics of BIM, AI, their integration and implementation in construction. It also provides future research trends and insights and emphasizes interoperability in BIM. On the other hand, it reinforces the need for future research to focus on the interoperability of artificial intelligence and other intelligent systems in BIM to foster integrated science based on digitalization and information and communication technology. Finally, it also highlights the extension of the findings during the life cycle of the building construction project. The research results show that the integration of artificial intelligence and BIM has the capacity to change the construction industry. Because it has the ability to significantly reduce errors, to save time and resources (human resources and construction materials), to increase productivity and to adapt the map based on the user's needs through controller modules, database and machine learning according to building regulations. This research also identifies some of the challenges hindering the integration of AI and BIM, such as the lack of interoperability standards, data privacy concerns, and insufficient training for professionals.
