ABSTRACT
During preconstruction, forecasting construction estimations faces challenges due to conventional techniques lacking real-time data, resulting in imprecise forecasts. Integrating IoT-enabled Building Information Modeling (BIM) with real-time sensor data in construction projects confronts scalability and practical implementation challenges. While theoretical benefits exist, empirical evidence of successful implementations across various projects is lacking. To address this, digital twin capability needs enhancement using IoT and BIM technologies. This systematic review explores IoT-enabled BIM integration with real-time sensor data to improve digital twin functionality for construction estimation accuracy. By examining existing research and identifying gaps, insights into how IoT-BIM integration can enhance digital twin functionality are provided. This integration aims to improve project outcomes and streamline construction processes by providing more precise estimations during the preconstruction stage. The review seeks to develop solutions and design methods for integrating IoT-enabled BIM with real-time sensor data, offering valuable in-sights for the construction sector.
