Citation
Abstract
The importance of building information is highly attached to the ability of conventional storing to provide professional analysis. The Internet of Things (IoT) and smart devices offer a vast amount of live data stored in heterogeneous repositories, and hence the need for smart methodologies to facilitate IoT–BIM integration is very crucial. The first step to better integrating IoT and Building Information Modeling (BIM) can be performed by implementing the Service-Oriented-Architecture (SOA) to combining software and other services by replacing the sematic information that was failed to display elements of indoor conditions. The other development is to create link that able to update static models towards real-time models using SOA approach. The existing approach relies on one-way interaction; however, developing two-way communication to mimic human cognitive has become very crucial. The high-tech approach requires highly involving Cloud computations to better connect IoT devices throughout Internet infrastructure. This approach is based on the integration of Building Information Modeling (BIM) with real-time data from IoT devices aiming at improving construction and operational efficiencies and to provide high-fidelity BIM models for numerous applications. The paper discusses challenges, limitations, and barriers that face BIM–IoT integration and simultaneously solves interoperability issues and Cloud computing. The paper provides a comprehensive review that explores and identifies common emerging areas of application and common design patterns of the traditional BIM-IoT integration followed by devising better methodologies to integrate IoT in BIM.
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Official URL or Download Paper: https://www.mdpi.com/2071-1050/13/7/3930
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Engineering |
DOI Number: | https://doi.org/10.3390/su13073930 |
Publisher: | MDPI AG |
Keywords: | BIM; IoT; Integration BIM–IoT; Creating database; Live data |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 25 Dec 2023 12:05 |
Last Modified: | 25 Dec 2023 12:05 |
Altmetrics: | 10.3390/su13073930 |
URI: | http://psasir.upm.edu.my/id/eprint/95837 |
Statistic Details: | View Download Statistic |
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