On the Robustness of Field calibration for Smart air quality monitors

Publication date: Available online 13 February 2020Source: Sensors and Actuators B: ChemicalAuthor(s): Saverio De Vito, Elena Esposito, Nuria Castell, Philipp Schneider, A. BartonovaAbstractThe robustness of field calibrated Air Quality Multi-sensors (AQM) performances to long term and/or mobile operation is still debated. Though accuracy generally exceeds the one of laboratory calibrations models, experimental results show that field calibration models cannot sustain optimal field performances due to changes occurring in operative conditions. Among them, the relocation of calibrated multi-sensors platforms and sensor drift are considered as the most relevant.In this work, we want to provide an answer to the general issue of field calibration robustness assessement. analysing theoretical foundations and providing tools for determining the calibration model validity domain. In particular, by leveraging the probability distribution of target and interferent gas as well as environmental variables, measures of dissimilarity between calibration and operative phase conditions are considered to quantitatively capture the occurring change. A 6 months multiple nodes dataset including node relocations events in several sites have been processed for deriving nonlinear multivariate field calibrations whose robustness to changing conditions have been analysed. Kullback-Leibler, Euclidean and Hellinger dissimilarity measurements have been correlated with recorded performance degradation. R...
Source: Sensors and Actuators B: Chemical - Category: Chemistry Source Type: research