Abstract
Air pollution is currently considered one of the main problems facing mankind. Traditional systems that measure air quality variables are expensive and their access is mostly limited to wealthy regions. Low- and middle-income countries often cannot access this equipment because they do not have the resources to afford it. Alternative methodologies involving the use of low-cost sensors in air quality monitoring systems have therefore emerged in response to both academic and citizen concerns. The main issue regarding the use of low-cost sensors is the quality of the data. This paper presents the design of a portable low-cost concept prototype of a monitoring system, capable of estimating air quality from data with a minimum assured quality for decision-making. The system passed a series of low-cost calibration processes in order to assure the quality of the measurements provided by the selected sensors. An attempt has been made to achieve a product that is as cheap as possible but capable of delivering reliable measurements. The collected data during operation is shown in a 52North IoT platform with geospatial reference. The concentrations measured in the routes through the city of Santa Clara show concentrations close to the risk for health.
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Hernandez-Rodriguez, E., Kairúz-Cabrera, D., Martinez, A., González-Rivero, R.A., Schalm, O. (2023). Low-Cost Portable System for the Estimation of Air Quality. In: Llanes-Santiago, O. (eds) Proceedings of 19th Latin American Control Congress (LACC 2022). LACC 2020. Studies in Systems, Decision and Control, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-031-26361-3_25
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