Abstract

In educational context, a source of nuisance for students is carbon dioxide (CO_2) 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 (CO_2), 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.

Highlights

  • Carbon dioxide (CO2) is a colorless and odorless gas

  • Our goal is to develop a configurable low-cost open-hardware and open-software IoT system to measure CO2 concentration by using a Non-Dispersive Infrared Absorption Spectroscopy (NDIR) sensor, measuring T and Relative Humidity (RH) as well

  • Prior to perform the real tests in classrooms during exam period and in order to check the proper operation of the nodes, we decided to perform different tests during daily activities, such as monitoring CO2 concentration in an office and in a bedroom

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Summary

Introduction

Carbon dioxide (CO2) is a colorless and odorless gas. It is naturally found in ambient air in concentrations ranging from 300 ppm to 550 ppm, depending on whether we measure in rural or urban environments. It is produced by (human and animal) breathing and burning fossil fuels. In the atmosphere, this gas produces the displacement of oxygen and in high concentrations (over 30,000 ppm), it can produce rapid breathing, confusion and asphyxiation, by reducing the oxygen concentration below 20% [7]. The usual levels that we can find in an indoor environment will be related to different variables that affect this factor, such as outdoor air levels, indoor sources, occupancy levels and ventilation rates

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