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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

Building Information Modelling (BIM) and Internet of Things (IoT) for Enhanced Collaboration and Real-Time Monitoring

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Jimmy Kinyonyi Bagonza *

School of Computer and Information Sciences, University of the Cumberlands, Kentucky USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 27(01), 2444-2450

Article DOI: 10.30574/wjarr.2025.27.1.2657

DOI url: https://doi.org/10.30574/wjarr.2025.27.1.2657

Received on 11 June 2025; revised on 15 July 2025; accepted on 17 July 2025

Digital transformation is reshaping the construction sector through technologies that promote collaboration, streamline processes, and support data-informed decision-making. The combination of Building Information Modelling (BIM) and Internet of Things (IoT) technologies marks a major leap in construction practices, providing unparalleled capabilities for project management, monitoring, and optimization. This research investigates how BIM applications are changing construction workflows and collaborative efforts, while also examining how IoT and cloud-based systems facilitate real-time monitoring of construction activities. The results indicate that integrated BIM-IoT solutions bring notable enhancements in efficiency, safety, and sustainability within the construction field, driven by improved information sharing, predictive analytics, and collaborative decision-making systems. As construction companies increasingly embrace these digital tools, the industry is poised for benefits, including shorter project timelines, reduced costs, and enhanced quality and performance of buildings. 

Digital Transformation; Building Information Modeling; Internet of Things (IOT); Real Time Monitoring; Construction; Predictive Analytics; Artificial Intelligence

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-2657.pdf

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Jimmy Kinyonyi Bagonza. Building Information Modelling (BIM) and Internet of Things (IoT) for Enhanced Collaboration and Real-Time Monitoring. World Journal of Advanced Research and Reviews, 2025, 27(01), 2444-2450. Article DOI: https://doi.org/10.30574/wjarr.2025.27.1.2657.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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