RT Journal Article
T1 Designing a low-cost wireless sensor network for particulate matter monitoring: Implementation, calibration, and field-test
A1 Zafra Pérez, Adrián
A1 Medina García, Jonathan
A1 Boente López, Carlos
A1 Gómez Galán, Juan Antonio
A1 Sánchez de la Campa Verdona, Ana María
A1 Rosa Díaz, Jesús de la
AB Poor air quality can provoke severe impacts on health, necessitating environmental monitoring of atmospheric particulate matter (PM) to assess potential threats to human well-being. However, traditional continuous air quality monitoring systems are often costly and time-consuming in data treatment. Lately, there is a growing trend towards the use of low-cost wireless PM sensors, providing more detailed information than standard systems. This paper presents a system designed to measure air quality, specifically, a wireless sensor network composed of a distributed sensor network linked to a cloud system. The proposed system can efficiently measure air quality as it is cost-effective, small-sized, and consumes little power. Sensor nodes based on low-power long range (LoRa) motes transmit field measurement data to the cloud via a gateway, and a cloud computing system is implemented to store, monitor, process, and visualise the data. Advanced techniques were included in our cloud for data processing and analysis to optimise the detection of PM. Laboratory and field tests in the historic Riotinto mine validate the system's viability, offering real-time air quality information for nearby populations. Once calibrated, sensors demonstrate high accuracy, presenting mean error of −0.3% and low deviation (R2 = 0.96) when compared to regulatory systems for both low (<10 μgPM10/m3) and hazardous concentrations (300 μgPM10/m3), which makes them perfect as early warning systems for atmospheric pollution in mining.
PB Elsevier
SN 1309-1042 (electrónico)
YR 2024
FD 2024
LK https://hdl.handle.net/10272/23958
UL https://hdl.handle.net/10272/23958
LA eng
NO Zafra-Pérez, A., Medina-García, J., Boente, C., Gómez-Galán, J. A., Sánchez de la Campa, A., & de la Rosa, J. D. (2024). Designing a low-cost wireless sensor network for particulate matter monitoring: Implementation, calibration, and field-test. In Atmospheric Pollution Research (Vol. 15, Issue 9, p. 102208). Elsevier BV. https://doi.org/10.1016/j.apr.2024.102208
NO Funding for this research was provided by the project “68/83 Contribucion ´ de fuentes del material particulado atmosf´erico en el entorno deldistrito minero de Riotinto (2023).” The authors express their appreciation to the Atalaya Mining Company for granting permission to conductthis research on their premises and for their wholehearted support.Funding for open access charge: Universidad de Huelva / CBUA, Spain.
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026