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Modular Software Architecture for Local Smart Building Servers
This paper presented the architecture and construction of a novel smart building system that could monitor and control buildings’ use in a safe and optimal way. The system operates on a Raspberry local server, which could be connected via the cloud technology to a central platform. The local system...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434211/ https://www.ncbi.nlm.nih.gov/pubmed/34502701 http://dx.doi.org/10.3390/s21175810 |
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author | Lagsaiar, Lamine Shahrour, Isam Aljer, Ammar Soulhi, Aziz |
author_facet | Lagsaiar, Lamine Shahrour, Isam Aljer, Ammar Soulhi, Aziz |
author_sort | Lagsaiar, Lamine |
collection | PubMed |
description | This paper presented the architecture and construction of a novel smart building system that could monitor and control buildings’ use in a safe and optimal way. The system operates on a Raspberry local server, which could be connected via the cloud technology to a central platform. The local system includes nine modules that inter-communicate. The system detects sensor faults, and provides a friendly interface to occupants. The paper presented the software architecture IoT used for the building monitoring and the use of this system for the management of fifteen social housing units during a year. The system allowed the investigation of indoor comfort and both energy and hot water consumptions. Data analysis resulted in the detection of abnormal energy consumptions. The system could be easily used in buildings’ management. It works in a plug-and-play mode. |
format | Online Article Text |
id | pubmed-8434211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84342112021-09-12 Modular Software Architecture for Local Smart Building Servers Lagsaiar, Lamine Shahrour, Isam Aljer, Ammar Soulhi, Aziz Sensors (Basel) Article This paper presented the architecture and construction of a novel smart building system that could monitor and control buildings’ use in a safe and optimal way. The system operates on a Raspberry local server, which could be connected via the cloud technology to a central platform. The local system includes nine modules that inter-communicate. The system detects sensor faults, and provides a friendly interface to occupants. The paper presented the software architecture IoT used for the building monitoring and the use of this system for the management of fifteen social housing units during a year. The system allowed the investigation of indoor comfort and both energy and hot water consumptions. Data analysis resulted in the detection of abnormal energy consumptions. The system could be easily used in buildings’ management. It works in a plug-and-play mode. MDPI 2021-08-29 /pmc/articles/PMC8434211/ /pubmed/34502701 http://dx.doi.org/10.3390/s21175810 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lagsaiar, Lamine Shahrour, Isam Aljer, Ammar Soulhi, Aziz Modular Software Architecture for Local Smart Building Servers |
title | Modular Software Architecture for Local Smart Building Servers |
title_full | Modular Software Architecture for Local Smart Building Servers |
title_fullStr | Modular Software Architecture for Local Smart Building Servers |
title_full_unstemmed | Modular Software Architecture for Local Smart Building Servers |
title_short | Modular Software Architecture for Local Smart Building Servers |
title_sort | modular software architecture for local smart building servers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434211/ https://www.ncbi.nlm.nih.gov/pubmed/34502701 http://dx.doi.org/10.3390/s21175810 |
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