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Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT
Urbanization has led to the need for the intelligent management of various urban challenges, from traffic to energy. In this context, smart campuses and buildings emerge as microcosms of smart cities, offering both opportunities and challenges in technology and communication integration. This study...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611299/ https://www.ncbi.nlm.nih.gov/pubmed/37896746 http://dx.doi.org/10.3390/s23208652 |
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author | Neis, Pascal Warch, Dominik Hoppe, Max |
author_facet | Neis, Pascal Warch, Dominik Hoppe, Max |
author_sort | Neis, Pascal |
collection | PubMed |
description | Urbanization has led to the need for the intelligent management of various urban challenges, from traffic to energy. In this context, smart campuses and buildings emerge as microcosms of smart cities, offering both opportunities and challenges in technology and communication integration. This study sets itself apart by prioritizing sustainable, adaptable, and reusable solutions through an open-source framework and open data protocols. We utilized the Internet of Things (IoT) and cost-effective sensors to capture real-time data for three different use cases: real-time monitoring of visitor counts, room and parking occupancy, and the collection of environment and climate data. Our analysis revealed that the implementation of the utilized hardware and software combination significantly improved the implementation of open smart campus systems, providing a usable visitor information system for students. Moreover, our focus on data privacy and technological versatility offers valuable insights into real-world applicability and limitations. This study contributes a novel framework that not only drives technological advancements but is also readily adaptable, improvable, and reusable across diverse settings, thereby showcasing the untapped potential of smart, sustainable systems. |
format | Online Article Text |
id | pubmed-10611299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106112992023-10-28 Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT Neis, Pascal Warch, Dominik Hoppe, Max Sensors (Basel) Article Urbanization has led to the need for the intelligent management of various urban challenges, from traffic to energy. In this context, smart campuses and buildings emerge as microcosms of smart cities, offering both opportunities and challenges in technology and communication integration. This study sets itself apart by prioritizing sustainable, adaptable, and reusable solutions through an open-source framework and open data protocols. We utilized the Internet of Things (IoT) and cost-effective sensors to capture real-time data for three different use cases: real-time monitoring of visitor counts, room and parking occupancy, and the collection of environment and climate data. Our analysis revealed that the implementation of the utilized hardware and software combination significantly improved the implementation of open smart campus systems, providing a usable visitor information system for students. Moreover, our focus on data privacy and technological versatility offers valuable insights into real-world applicability and limitations. This study contributes a novel framework that not only drives technological advancements but is also readily adaptable, improvable, and reusable across diverse settings, thereby showcasing the untapped potential of smart, sustainable systems. MDPI 2023-10-23 /pmc/articles/PMC10611299/ /pubmed/37896746 http://dx.doi.org/10.3390/s23208652 Text en © 2023 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 Neis, Pascal Warch, Dominik Hoppe, Max Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT |
title | Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT |
title_full | Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT |
title_fullStr | Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT |
title_full_unstemmed | Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT |
title_short | Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT |
title_sort | testing and evaluation of low-cost sensors for developing open smart campus systems based on iot |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611299/ https://www.ncbi.nlm.nih.gov/pubmed/37896746 http://dx.doi.org/10.3390/s23208652 |
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