A BIM and AIoT Integration Framework for Improving Energy Efficiency in Green Buildings

The green building (GB) sector contends with a significant energy performance gap. Building information modeling (BIM), Artificial Intelligence (AI), and Internet of Things (IoT) technologies can address this issue effectively by optimizing design and accurately predicting and monitoring energy consumption. However, research on integrating BIM and AI of Things (AIoT) for GB is nascent. Intelligent processing and analyzing heterogeneous data schema from various information systems is the main challenge faced by many researchers in GB domain. Thus, this study aims to systematically analyze the application of BIM and AIoT in GB and construct an integration framework for improving energy performance. In addition, this framework illustrates how to exchange, transmit, and process massive amounts of heterogeneous data from BIM and IoT platforms by leveraging AI and Semantic Web technologies. Results show that BIM and AIoT integration can assist in intelligent energy-saving decisions through effective data exchange, cloud/edge/fog computing, and user interface (UI). This research contributes to the creation of the BIM-AIoT integration framework. This framework lays a foundation for energy efficiency, facility management, and intelligent construction in the GB domain. Finally, this research highlights the challenges and recommendations related to BIM-AIoT applications in GB.