VentQsys: low-cost open IoT system for CO2 monitoring in classrooms

Rafael Fayos-Jordan; Jaume Segura-Garcia; Antonio Soriano-Asensi; Santiago Felici-Castell; Jose M. Felisi; Jose M. Alcaraz-Calero

doi:10.1007/s11276-021-02799-5

VentQsys: low-cost open IoT system for CO₂ monitoring in classrooms

Rafael Fayos-Jordan, Jaume Segura-Garcia, Antonio Soriano-Asensi, Santiago Felici-Castell, Jose M. Felisi, Jose M. Alcaraz-Calero

Research output: Contribution to journal › Article › peer-review

Abstract

In educational context, a source of nuisance for students is carbon dioxide (CO2) concentration due to closed rooms and lack of ventilation or circulatory air. Also, in the pandemic context, ventilation in indoor environments has been proven as a good tool to control the COVID-19 infections. In this work, it is presented a low cost IoT-based open-hardware and open-software monitoring system to control ventilation, by measuring carbon dioxide (CO2), temperature and relative humidity. This system provides also support for automatic updating, auto-self calibration and adds some Cloud and Edge offloading of computational features for mapping functionalities. From the tests carried out, it is observed a good performance in terms of functionality, battery durability, compared to other measuring devices, more expensive than our proposal.

Original language	English
Pages (from-to)	5313-5327
Number of pages	15
Journal	Wireless Networks
Volume	27
Early online date	18 Oct 2021
DOIs	https://doi.org/10.1007/s11276-021-02799-5
Publication status	Published - Nov 2021

Bibliographical note

Copyright © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.

Keywords

IoT
WSN
spatial statistics
CO2
open-source
sustainability

Access to Document

10.1007/s11276-021-02799-5Licence: CC BY 4.0

VentQsys low-cost open IoT system for CO2 monitoring in classrooms
Copyright © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.
Final published version, 3.43 MBLicence: CC BY 4.0

Cite this

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abstract = "In educational context, a source of nuisance for students is carbon dioxide (CO2) concentration due to closed rooms and lack of ventilation or circulatory air. Also, in the pandemic context, ventilation in indoor environments has been proven as a good tool to control the COVID-19 infections. In this work, it is presented a low cost IoT-based open-hardware and open-software monitoring system to control ventilation, by measuring carbon dioxide (CO2), temperature and relative humidity. This system provides also support for automatic updating, auto-self calibration and adds some Cloud and Edge offloading of computational features for mapping functionalities. From the tests carried out, it is observed a good performance in terms of functionality, battery durability, compared to other measuring devices, more expensive than our proposal.",

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