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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...

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Detalles Bibliográficos
Autores principales: Yan, Hu, Xing, Tian, Sun, Kailai, Zhao, Qianchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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)
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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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