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Title	A Scientometric-Content Analysis Of Integration Of Bim And Iot
ID_Doc	4435
Authors	Jia Y.; Hosseini M.R.; Zhang B.; Martek I.; Nikmehr B.; Wang J.
Year	2022
Published	IOP Conference Series: Earth and Environmental Science, 1101, 7
DOI	http://dx.doi.org/10.1088/1755-1315/1101/7/072002
Abstract	As two essential components of Industry 4.0 in the construction industry, building information modelling (BIM) and the Internet of things (IoT) tend to be integrated. Research in the field has increased significantly in recent years, yet previous reviews on this field are limited, and a review study with both quantitative and qualitative analysis of BIM-IoT integration remains wanting. Thus, this review paper investigates 107 peer-reviewed journal articles in the field of BIM-IoT integration using mixed scientometric-content analysis. The findings reveal that the research in this field is promising, and collaboration has achieved well-recognised outcomes, while more collaborations are expected. Besides, the analysis reveals that the research is evolving from traditional construction themes, such as safety, energy efficiency and thermal comfort, to evolutionary concepts, such as digitalisation, Industry 4.0, digital twin, and smart cities. Finally, five research opportunities are outlined, including reliability and robustness, interoperability, integration with other emerging technologies, security and privacy, and reluctance from the construction industry. This review is the first attempt to conduct a scientometric analysis of the research of BIM-IoT integration. The findings provide directions for future research. © Published under licence by IOP Publishing Ltd.
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