Design and Characterization of an Integrated Multi-Sensor Device for Air Quality Monitoring
Year: 2024
Type: article
Abstract: This paper presents the development of a mobile air quality monitoring system, designed around advanced low-power sensor technologies. Centered on an ARM Cortex M4 microcontroller, the device integrates dedicated sensors for particulate matter (PM), nitrogen dioxide (NO₂), carbon monoxide (CO) and ozone (O₃) concentration measurements while offering real-time data acquisition. Concentration data is transmitted via Bluetooth Low Energy (BLE) to a mobile device serving as a gateway to a remote server for data processing and visualization. This work provides an in-depth analysis of the system’s design, covering sensor selection, power-aware communication protocols, and data processing strategies optimized for the Cortex M4 platform. Particular attention is given to the long-term reliability of the measurements through an embedded auto-calibration approach that compensates for sensor drifts under varying environmental conditions. Furthermore, the device’s energy profile is examined in detail, highlighting design choices aimed at extending operational lifetime after deployment in the field. Based on preliminary results, a second hardware revision was introduced, featuring a new NO₂ sensor and a new energy-efficient carbon dioxide (CO₂) sensor (SCD41), while omitting the original dual NO₂/CO sensor to reduce the overall power consumption and enhance gas sensitivity and selectivity[1, 2]. The overall system is intended to support citizen participation in distributed environmental monitoring at urban scale.
Source: Microprocessors and Microsystems
Authors: Jonas Pellegrino, Hassen Aziza, Mathieu Guerin, Pascal Taranto
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,290
OpenAlex ID: W4405362237