A QR code based framework for auto-configuration of IoT sensor networks in buildings

Abstract Worldwide buildings are responsible for about 40% of the overall consumption and contribute to an average of 30% percent of the global carbon emissions. Nevertheless, most current buildings lack efficient energy management systems because such solutions are very expensive, especially when n...

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Main Authors: Simon Soele Madsen, Athila Quaresma Santos, Bo Nørregaard Jørgensen
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Energy Informatics
Subjects:
Online Access:https://doi.org/10.1186/s42162-021-00152-w
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spelling doaj-b99d05fda6ff41489fe9b80fe9a2a19e2021-09-26T11:16:06ZengSpringerOpenEnergy Informatics2520-89422021-09-014S211910.1186/s42162-021-00152-wA QR code based framework for auto-configuration of IoT sensor networks in buildingsSimon Soele Madsen0Athila Quaresma Santos1Bo Nørregaard Jørgensen2SDU Center for Energy Informatics, The Mærsk Mc-Kinney Møller Institute, University of Southern DenmarkSDU Center for Energy Informatics, The Mærsk Mc-Kinney Møller Institute, University of Southern DenmarkSDU Center for Energy Informatics, The Mærsk Mc-Kinney Møller Institute, University of Southern DenmarkAbstract Worldwide buildings are responsible for about 40% of the overall consumption and contribute to an average of 30% percent of the global carbon emissions. Nevertheless, most current buildings lack efficient energy management systems because such solutions are very expensive, especially when necessary instrumentation needs to be installed after the building’s construction. As an alternative, we purpose the use of IoT sensor networks to retrofit existing medium and large-sized buildings to provide energy management capabilities in a cost-effective way. An IoT network auto-configuration platform for building energy management was developed. In order to efficiently manage metadata related to location and devices, a database using dynamic QR codes was created. Furthermore, we discuss the potential and shortcomings of different sensor-gateway pairing strategies that are applicable to an auto-configuring system. Lastly, we share our implementation of these concepts and demonstrate their use in a medium-sized building case study. The results show a trade-off between optimal configuration and total configuration time with a focus on the quality of the communication signal strength. The proposal provided the necessary automation for a cost-effective energy management system that can be deployed in both new constructions and existing buildings.https://doi.org/10.1186/s42162-021-00152-wQR codeAuto-configurationInternet of thingsEnergy management systemsBuildingsFramework
collection DOAJ
language English
format Article
sources DOAJ
author Simon Soele Madsen
Athila Quaresma Santos
Bo Nørregaard Jørgensen
spellingShingle Simon Soele Madsen
Athila Quaresma Santos
Bo Nørregaard Jørgensen
A QR code based framework for auto-configuration of IoT sensor networks in buildings
Energy Informatics
QR code
Auto-configuration
Internet of things
Energy management systems
Buildings
Framework
author_facet Simon Soele Madsen
Athila Quaresma Santos
Bo Nørregaard Jørgensen
author_sort Simon Soele Madsen
title A QR code based framework for auto-configuration of IoT sensor networks in buildings
title_short A QR code based framework for auto-configuration of IoT sensor networks in buildings
title_full A QR code based framework for auto-configuration of IoT sensor networks in buildings
title_fullStr A QR code based framework for auto-configuration of IoT sensor networks in buildings
title_full_unstemmed A QR code based framework for auto-configuration of IoT sensor networks in buildings
title_sort qr code based framework for auto-configuration of iot sensor networks in buildings
publisher SpringerOpen
series Energy Informatics
issn 2520-8942
publishDate 2021-09-01
description Abstract Worldwide buildings are responsible for about 40% of the overall consumption and contribute to an average of 30% percent of the global carbon emissions. Nevertheless, most current buildings lack efficient energy management systems because such solutions are very expensive, especially when necessary instrumentation needs to be installed after the building’s construction. As an alternative, we purpose the use of IoT sensor networks to retrofit existing medium and large-sized buildings to provide energy management capabilities in a cost-effective way. An IoT network auto-configuration platform for building energy management was developed. In order to efficiently manage metadata related to location and devices, a database using dynamic QR codes was created. Furthermore, we discuss the potential and shortcomings of different sensor-gateway pairing strategies that are applicable to an auto-configuring system. Lastly, we share our implementation of these concepts and demonstrate their use in a medium-sized building case study. The results show a trade-off between optimal configuration and total configuration time with a focus on the quality of the communication signal strength. The proposal provided the necessary automation for a cost-effective energy management system that can be deployed in both new constructions and existing buildings.
topic QR code
Auto-configuration
Internet of things
Energy management systems
Buildings
Framework
url https://doi.org/10.1186/s42162-021-00152-w
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