Forecasting and Monitoring Smart Buildings with the Internet of Things, Digital Twins and Blockchain
Paper
Paper/Presentation Title | Forecasting and Monitoring Smart Buildings with the Internet of Things, Digital Twins and Blockchain |
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Presentation Type | Paper |
Authors | Yang, Xichun (Author), Maiti, Ananda (Author), Jiang, Jinhao (Author) and Kist, Alexander (Author) |
Editors | Auer, Michael E., Bhimavaram, Kalyan Ram and Yue, Xiao-Guang |
Journal or Proceedings Title | Lecture Notes in Networks and Systems (Book series) |
ERA Conference ID | 50808 |
Journal Citation | 298, pp. 213-224 |
Number of Pages | 12 |
Year | 2022 |
Publisher | Springer |
Place of Publication | Switzerland |
ISSN | 2367-3370 |
2367-3389 | |
ISBN | 9783030825287 |
9783030825294 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-82529-4_21 |
Web Address (URL) of Paper | https://link.springer.com/book/10.1007/978-3-030-82529-4 |
Conference/Event | 18th International Conference on Remote Engineering and Virtual Instrumentation (REV 2021) |
International Conference on Remote Engineering and Virtual Instrumentation | |
Event Details | 18th International Conference on Remote Engineering and Virtual Instrumentation (REV 2021) Parent International Conference on Remote Engineering and Virtual Instrumentation Delivery Online Event Date 24 to end of 26 Feb 2021 Event Location Hong Kong |
Event Details | International Conference on Remote Engineering and Virtual Instrumentation REV |
Abstract | Smart buildings have grown in numbers and capabilities worldwide. Smart buildings rely on the sensor networks and Internet of Things (IoT), which allows the development and optimization performance through various methods, including efficient energy management solutions and predictive technologies for future decisions. Smart buildings generate data in real-time, and human-based choices are often taken in real-time. IoT provides connectivity for the various sensors. Smart buildings must ensure the proper operation with minimum time and energy with regards to dynamic human demands and performance in realtime. Blockchain technology can ensure data integrity and regulated autonomous flow of information between users who have a varying degree of trust. Therefore, the combination of Blockchain and the IoT can achieve data integrity between IoT devices installed in the smart buildings where multiple humans are involved and have different non-overlapping expectations from the building’s environment and response. In this paper, a set of predictive technologies are analyzed, and their common parameters are shown to affect the possible prediction and visualization of the IoT data for users. A digital twin based on Blockchain is proposed where individual users owing some sensors can use and visualize processed data based on rules set by the owners in the Blockchain. |
Keywords | Internet of Things; Blockchain; Digital twin; Predictiveanalysis; Smart building |
ANZSRC Field of Research 2020 | 460603. Cyberphysical systems and internet of things |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Tasmania |
School of Mechanical and Electrical Engineering | |
Institution of Origin | University of Southern Queensland |
Book Title | Online Engineering and Society 4.0: Proceedings of the 18th International Conference on Remote Engineering and Virtual Instrumentation |
https://research.usq.edu.au/item/q71q7/forecasting-and-monitoring-smart-buildings-with-the-internet-of-things-digital-twins-and-blockchain
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