An Integrated BIM-IoT Framework for Real-Time Quality Monitoring in Construction Site
Publication: Journal of Construction Engineering and Management
Volume 150, Issue 11
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.
Practical Applications
This study presents a practical solution for real-time quality monitoring and acceptance at construction sites through the integration of 4D Building Information Modeling with IoT technologies. By facilitating real-time quality monitoring and data capture, the framework significantly enhances decision-making processes. Construction managers can use this system to promptly detect and resolve quality issues, thereby reducing rework costs and likelihood. Additionally, this integrated framework ensures compliance with stringent quality standards, providing a reliable method to meet all construction project specifications. The capability to continuously update the 4D BIM model with live data enables dynamic resource management and optimizing workerpower. Consequently, this approach leads to improved project outcomes, higher-quality buildings, and greater client satisfaction. In a case study involving a large-scale high-rise building project, the framework demonstrated its effectiveness by integrating live quality data into 4D BIM for ongoing monitoring and acceptance. The results underscored the framework’s potential to provide stakeholders with timely information and implement corrective actions, significantly enhancing the efficiency and reliability of construction quality acceptance.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors acknowledge the financial support of National Natural Science Foundation of China (U21A20151), the Natural Science Foundation of Hubei Province (2022CFB086), and the “14th Five-Year” National Key R&D Program (2022YFC3802200).
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Published In
Journal of Construction Engineering and Management
Volume 150 • Issue 11 • November 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Jan 4, 2024
Accepted: Jun 14, 2024
Published online: Sep 13, 2024
Published in print: Nov 1, 2024
Discussion open until: Feb 13, 2025
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