Implementation of a Low-Cost IoT Indoor Air Quality Monitor in Dynamic Public Environments

We implement an affordable Internet of Things (IoT) device for evaluating indoor air quality (IAQ) in dynamically changing public environments, such as transportation buses and shopping centers in San Luis Potosi, Mexico. An ESP32 microcontroller integrates the monitor with a DS18B20 temperature sensor and a PMS5003 particulate matter (PM) sensor to measure PM2.5 and PM10. The monitor uses the fifth generation mobile network to transmit this information to the IoT platform ThingSpeak for storage and further analysis. Over six days, we measured three bus routes during the morning and afternoon and four shopping centers in the afternoon, as experienced by an ordinary user. Results show that PM2.5 and PM10 levels can achieve 116 and 121 μg/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>, respectively, which are dangerous for human health, thus demonstrating the potential of communication technologies and low-cost IoT devices for implementing IAQ monitoring in resource-constrained scenarios, highlighting the need for adequate ventilation policies and compliance in such dynamic public spaces.

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Published
2024-12-03
DOI
https://doi.org/10.1109/vcc63113.2024.10914406
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
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article

Implementation of a Low-Cost IoT Indoor Air Quality Monitor in Dynamic Public Environments

Rafael Aguilar-González, Salvador Ruíz-Correa, Jorge Simón, Marco Cardenas‐Juarez et al.
Air Quality Monitoring and Forecasting
article

Implementation of a Low-Cost IoT Indoor Air Quality Monitor in Dynamic Public Environments

Rafael Aguilar-González, Salvador Ruíz-Correa, Jorge Simón, Marco Cardenas‐Juarez, Gladys Diaz, Alessandra Rizzardi
article en

Abstract

We implement an affordable Internet of Things (IoT) device for evaluating indoor air quality (IAQ) in dynamically changing public environments, such as transportation buses and shopping centers in San Luis Potosi, Mexico. An ESP32 microcontroller integrates the monitor with a DS18B20 temperature sensor and a PMS5003 particulate matter (PM) sensor to measure PM2.5 and PM10. The monitor uses the fifth generation mobile network to transmit this information to the IoT platform ThingSpeak for storage and further analysis. Over six days, we measured three bus routes during the morning and afternoon and four shopping centers in the afternoon, as experienced by an ordinary user. Results show that PM2.5 and PM10 levels can achieve 116 and 121 μg/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>, respectively, which are dangerous for human health, thus demonstrating the potential of communication technologies and low-cost IoT devices for implementing IAQ monitoring in resource-constrained scenarios, highlighting the need for adequate ventilation policies and compliance in such dynamic public spaces.

University of Insubria (IT), Institute for Scientific and Technological Research (MX), Autonomous University of San Luis Potosí (MX), Université Sorbonne Paris Nord (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 76%
Air Quality Monitoring and Forecasting
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Implementation of a Low-Cost IoT Indoor Air Quality Monitor in Dynamic Public Environments — Rafael Aguilar-González, Salvador Ruíz-Correa, et al. · (2024) | TGRS Research Map | TGRS