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

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.

Publication DOI: https://doi.org/10.1007/s11276-021-02799-5
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
Aston University (General)
Funding Information: Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
Additional Information: 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/.
Uncontrolled Keywords: IoT,WSN,spatial statistics,CO2,open-source,sustainability
Publication ISSN: 1572-8196
Last Modified: 01 May 2025 08:43
Date Deposited: 28 Apr 2025 12:17
Full Text Link:
Related URLs: https://link.sp ... 276-021-02799-5 (Publisher URL)
PURE Output Type: Article
Published Date: 2021-11
Published Online Date: 2021-10-18
Accepted Date: 2021-09-06
Authors: Fayos-Jordan, Rafael
Segura-Garcia, Jaume
Soriano-Asensi, Antonio
Felici-Castell, Santiago
Felisi, Jose M.
Alcaraz-Calero, Jose M. (ORCID Profile 0000-0002-2654-7595)

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