Research Article
Calibrating Low-End Sensors for Ozone Monitoring
@INPROCEEDINGS{10.1007/978-3-319-47063-4_24, author={\^{O}scar Alvear and Carlos Tavares Calafate and Juan-Carlos Cano and Pietro Manzoni}, title={Calibrating Low-End Sensors for Ozone Monitoring}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2017}, month={1}, keywords={Low-end sensor Sensor calibration Ozone sensing}, doi={10.1007/978-3-319-47063-4_24} }- Óscar Alvear
Carlos Tavares Calafate
Juan-Carlos Cano
Pietro Manzoni
Year: 2017
Calibrating Low-End Sensors for Ozone Monitoring
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_24
Abstract
Performing pollution measurements is a difficult and costly process. On the one hand, specialized laboratories are needed to calibrate sensors and adjust their readings to units that indicate the level of contaminants in the environment, and, on the other hand, measurements depend on the type of sensor. High-end sensors are very accurate but quite expensive, while low-end sensors are more affordable but have less precision and introduce considerable oscillations between readings. This paper presents a methodology to measure ozone pollution data with low-end mobile sensors, focusing on sensor calibration through historical data and the existing environmental monitoring infrastructure. The proposed methodology is developed in three phases: (i) reduction of data measurements variability, (ii) calculation of calibration equations, (iii) and analysis of the spatial-temporal behavior to reduce variations in time produced when data are captured using mobile sensors.
