An Integrated BIM-IoT Framework for Real-Time Quality Monitoring in Construction Site

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.

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Publication Details

Journal
Journal of Construction Engineering and Management
Published
2024-09-13
DOI
https://doi.org/10.1061/jcemd4.coeng-14984
Citations
10
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
2.65
Controls
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article

An Integrated BIM-IoT Framework for Real-Time Quality Monitoring in Construction Site

Feniosky Peña‐Mora, Weili Fang, Juan Wang, Wei Zhou et al.
10 citations
Journal of Construction Engineering and Management
BIM and Construction Integration
2.65
article

An Integrated BIM-IoT Framework for Real-Time Quality Monitoring in Construction Site

Feniosky Peña‐Mora, Weili Fang, Juan Wang, Wei Zhou, Hanbin Luo
article en
10 citations

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.

Journal of Construction Engineering and ManagementVol. 150(11)
City University of New York (US), Huazhong University of Science and Technology (CN), Columbia University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
BIM and Construction Integration
2.65
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