Design and Characterization of an Integrated Multi-Sensor Device for Air Quality Monitoring

This paper introduces a novel mobile air quality monitoring device engineered through the integration of cutting-edge sensor technologies. Powered by a low-power ARM Cortex M4 microcontroller, the device is equipped with particulate matter (PM), nitrogen dioxide (NO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>), and ozone (O<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf>) sensors, delivering real-time monitoring capabilities with superior spatial resolution compared to state-of-the-art solutions. The device embeds a Bluetooth Low Energy (BLE) module to transmit air quality data to a remote platform (for in-depth analysis and visualization) through a mobile phone used as a gateway. This paper analyses the device’s design, encompassing sensor selection, calibration methodologies, and data fusion and communication techniques tailored specifically for the ARM Cortex M4 architecture. The proposed system has been developed to empower citizens and involve them in large-scale air quality monitoring initiatives.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/dttis62212.2024.10780169
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.21
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article

Design and Characterization of an Integrated Multi-Sensor Device for Air Quality Monitoring

Giovanni Mathieu, Pam Jonas, A. Hassen, Thierry Pascal
1 citations
Air Quality Monitoring and Forecasting
0.21
article

Design and Characterization of an Integrated Multi-Sensor Device for Air Quality Monitoring

Giovanni Mathieu, Pam Jonas, A. Hassen, Thierry Pascal
article en
1 citations

Abstract

This paper introduces a novel mobile air quality monitoring device engineered through the integration of cutting-edge sensor technologies. Powered by a low-power ARM Cortex M4 microcontroller, the device is equipped with particulate matter (PM), nitrogen dioxide (NO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>), and ozone (O<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf>) sensors, delivering real-time monitoring capabilities with superior spatial resolution compared to state-of-the-art solutions. The device embeds a Bluetooth Low Energy (BLE) module to transmit air quality data to a remote platform (for in-depth analysis and visualization) through a mobile phone used as a gateway. This paper analyses the device’s design, encompassing sensor selection, calibration methodologies, and data fusion and communication techniques tailored specifically for the ARM Cortex M4 architecture. The proposed system has been developed to empower citizens and involve them in large-scale air quality monitoring initiatives.

Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (FR)
Affordable and clean energy
Openalex Percentile: Top 48%
Air Quality Monitoring and Forecasting
0.21
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Design and Characterization of an Integrated Multi-Sensor Device for Air Quality Monitoring — Giovanni Mathieu, Pam Jonas, et al. · (2024) | TGRS Research Map | TGRS