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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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 |
work_keys_str_mv |
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