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Protocol for a distributed smart building solution using semi-physical simulation
Honeycomb is a distributed smart building system that is robust, flexible, and portable. Here, we present a protocol that uses semi-physical simulation to construct a Honeycomb prototype. We describe steps for software and hardware preparation, as well as the implementation of a video-based occupanc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336264/ https://www.ncbi.nlm.nih.gov/pubmed/37392394 http://dx.doi.org/10.1016/j.xpro.2023.102390 |
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author | Yan, Hu Xing, Tian Sun, Kailai Zhao, Qianchuan |
author_facet | Yan, Hu Xing, Tian Sun, Kailai Zhao, Qianchuan |
author_sort | Yan, Hu |
collection | PubMed |
description | Honeycomb is a distributed smart building system that is robust, flexible, and portable. Here, we present a protocol that uses semi-physical simulation to construct a Honeycomb prototype. We describe steps for software and hardware preparation, as well as the implementation of a video-based occupancy detection algorithm. Besides, we provide examples and scenarios of distributed applications, including node failure and recovery. We further provide guidance on data visualization and analysis to facilitate the design of distributed applications for smart buildings. For complete details on the use and execution of this protocol, please refer to Xing et al.(1) |
format | Online Article Text |
id | pubmed-10336264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103362642023-07-13 Protocol for a distributed smart building solution using semi-physical simulation Yan, Hu Xing, Tian Sun, Kailai Zhao, Qianchuan STAR Protoc Protocol Honeycomb is a distributed smart building system that is robust, flexible, and portable. Here, we present a protocol that uses semi-physical simulation to construct a Honeycomb prototype. We describe steps for software and hardware preparation, as well as the implementation of a video-based occupancy detection algorithm. Besides, we provide examples and scenarios of distributed applications, including node failure and recovery. We further provide guidance on data visualization and analysis to facilitate the design of distributed applications for smart buildings. For complete details on the use and execution of this protocol, please refer to Xing et al.(1) Elsevier 2023-06-30 /pmc/articles/PMC10336264/ /pubmed/37392394 http://dx.doi.org/10.1016/j.xpro.2023.102390 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Yan, Hu Xing, Tian Sun, Kailai Zhao, Qianchuan Protocol for a distributed smart building solution using semi-physical simulation |
title | Protocol for a distributed smart building solution using semi-physical simulation |
title_full | Protocol for a distributed smart building solution using semi-physical simulation |
title_fullStr | Protocol for a distributed smart building solution using semi-physical simulation |
title_full_unstemmed | Protocol for a distributed smart building solution using semi-physical simulation |
title_short | Protocol for a distributed smart building solution using semi-physical simulation |
title_sort | protocol for a distributed smart building solution using semi-physical simulation |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336264/ https://www.ncbi.nlm.nih.gov/pubmed/37392394 http://dx.doi.org/10.1016/j.xpro.2023.102390 |
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