An Integrated BIM-IoT Framework for Real-Time Quality Monitoring in Construction Site
Juan Wang, Hanbin Luo, Feniosky Peña‐Mora, Wei Zhou, Weili Fang
Abstract
Effective quality management is essential for ensuring construction quality, adhering to schedules, and controlling costs. The application of Building Information Modeling (BIM) for quality control during the construction phase presents challenges, particularly with the real-time monitoring and tracing of onsite quality data. In response, we propose a framework that integrates Internet of Things (IoT)-based quality data with four-dimensional (4D) BIM for enhanced quality monitoring and acceptance. This framework includes (1) automatic segmentation of 4D BIM, (2) collection and mapping of quality data, and (3) real-time monitoring and assessment of quality. We validated our framework in a large-scale building project in Wuhan, China, focusing on concrete engineering quality acceptance. The results demonstrate that our integrated framework effectively captures and integrates live quality data in real-time into 4D BIM models for ongoing monitoring and assessment. The contribution of our research lays the foundation for the development of an integrated BIM-IoT framework for real-time quality monitoring, improving its efficiency and accuracy during quality acceptance in construction.