Application of Integrated Building Information Modeling, IoT and Blockchain Technologies in System Design of a Smart Building
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Journal title
Procedia Computer ScienceDate Published
2019
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Show full item recordAbstract
The Architecture, Engineering and Construction (AEC) industry has not adopted digital transformation enthusiastically like other industries, for instance, manufacturing, aerospace or finance. Building Information Modeling (BIM) is an innovative technology that is considered as an opportunity for the AEC industry to move to the digital era and improve the collaboration among stakeholders by applying Information and Communication Technologies (ICT). BIM provides all required tools and automations to achieve end-to-end communication, data exchange and information sharing among collaborators. Accordingly, virtual 3D models, created by the BIM process, delivered as physical assets, monitored in real-time and managed using Building Management Systems (BMS), can adopt the Internet of Things (IoT) designs and services. However, the implementation of IoT in a highly modular environment with various moving parts and inter-dependencies between stakeholders leads to security concerns. Therefore, this paper proposes system design that employs the blockchain technology as a measure to secure and control the framework that involves integrated IoT and BIM technologies. Although this paper considers system design applied in a smart museum, the authors assume that design is generic and applicable in other building categories. For instance, this design can be implemented in the ongoing Alumni Hall renovation project at State University of New York College at Oneonta.Citation
Lokshina, I., Gregus, M., Thomas, W. (2019). Application of Integrated Building Information Modeling, IoT and Blockchain Technologies in System Design of a Smart Building. Procedia Computer Science, 160, 497 - 502. https://www.sciencedirect.com/science/article/pii/S1877050919317582?via%3DihubDOI
https://doi.org/10.1016/j.procs.2019.11.058ae974a485f413a2113503eed53cd6c53
https://doi.org/10.1016/j.procs.2019.11.058
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