Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment
Main Author: | |
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Publication Date: | 2023 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10314/9273 https://doi.org/10.23919/CISTI58278.2023.10211974 |
Summary: | Indoor air quality is a determining factor in maintaining occupant comfort, especially in educational environments such as classrooms. Traditional methods of monitoring indoor air quality and occupancy, such as casual inspections or periodic measurements, do not provide timely and accurate information for those who must make decisions about ventilation and controlling the number of occupants. Internet of Things (IoT) technology has opened new possibilities for monitoring and controlling indoor air quality in real time. In this paper, an IoT-based system for monitoring indoor air quality and occupancy in a classroom is presented. The system consists of low-cost sensors that collect data on temperature, humidity, dust, carbon dioxide levels and occupancy, which is then transmitted to a cloud-based platform for analysis and visualization. Evaluation of the system in a real-world classroom environment has shown its effectiveness in detecting changes in air quality and the number of occupants. |
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Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom EnvironmentIndoor Air Quality MonitoringOccupancyIoT technologyThingsBoard platformIndoor air quality is a determining factor in maintaining occupant comfort, especially in educational environments such as classrooms. Traditional methods of monitoring indoor air quality and occupancy, such as casual inspections or periodic measurements, do not provide timely and accurate information for those who must make decisions about ventilation and controlling the number of occupants. Internet of Things (IoT) technology has opened new possibilities for monitoring and controlling indoor air quality in real time. In this paper, an IoT-based system for monitoring indoor air quality and occupancy in a classroom is presented. The system consists of low-cost sensors that collect data on temperature, humidity, dust, carbon dioxide levels and occupancy, which is then transmitted to a cloud-based platform for analysis and visualization. Evaluation of the system in a real-world classroom environment has shown its effectiveness in detecting changes in air quality and the number of occupants.IEEE Xplore2024-03-24T18:50:56Z2024-03-242023-06-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10314/9273https://doi.org/10.23919/CISTI58278.2023.10211974http://hdl.handle.net/10314/9273engRamos, A.Jesus, V.Gonçalves, C.Caetano, F.Silveira, C.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-05T03:03:19Zoai:bdigital.ipg.pt:10314/9273Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:26:57.963857Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment |
title |
Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment |
spellingShingle |
Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment Ramos, A. Indoor Air Quality Monitoring Occupancy IoT technology ThingsBoard platform |
title_short |
Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment |
title_full |
Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment |
title_fullStr |
Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment |
title_full_unstemmed |
Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment |
title_sort |
Monitoring Indoor Air Quality and Occupancy with an IoT System: Evaluation in a Classroom Environment |
author |
Ramos, A. |
author_facet |
Ramos, A. Jesus, V. Gonçalves, C. Caetano, F. Silveira, C. |
author_role |
author |
author2 |
Jesus, V. Gonçalves, C. Caetano, F. Silveira, C. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ramos, A. Jesus, V. Gonçalves, C. Caetano, F. Silveira, C. |
dc.subject.por.fl_str_mv |
Indoor Air Quality Monitoring Occupancy IoT technology ThingsBoard platform |
topic |
Indoor Air Quality Monitoring Occupancy IoT technology ThingsBoard platform |
description |
Indoor air quality is a determining factor in maintaining occupant comfort, especially in educational environments such as classrooms. Traditional methods of monitoring indoor air quality and occupancy, such as casual inspections or periodic measurements, do not provide timely and accurate information for those who must make decisions about ventilation and controlling the number of occupants. Internet of Things (IoT) technology has opened new possibilities for monitoring and controlling indoor air quality in real time. In this paper, an IoT-based system for monitoring indoor air quality and occupancy in a classroom is presented. The system consists of low-cost sensors that collect data on temperature, humidity, dust, carbon dioxide levels and occupancy, which is then transmitted to a cloud-based platform for analysis and visualization. Evaluation of the system in a real-world classroom environment has shown its effectiveness in detecting changes in air quality and the number of occupants. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-06-23T00:00:00Z 2024-03-24T18:50:56Z 2024-03-24 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
format |
article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10314/9273 https://doi.org/10.23919/CISTI58278.2023.10211974 http://hdl.handle.net/10314/9273 |
url |
http://hdl.handle.net/10314/9273 https://doi.org/10.23919/CISTI58278.2023.10211974 |
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eng |
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IEEE Xplore |
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IEEE Xplore |
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