A Study on Data Accuracy for IoT Measurements of PMs Concentration

Air pollution is considered responsible for increased morbidity and mortality due to respiratory problems created mainly by long term exposure. Even the emissions of principal air pollutants are highly regulated, for an accurate health impact assessment is lacking information about real dimension of personal exposure. To tackle these challenges, local air pollution measurements and citizen involvement based on the small IoT devices became necessary. The Tel-MonAer informatic system are based on IoT devices and Edge/Cloud computing technologies and will allow the (near) real-time monitoring of air pollutants considering specific aspects related to dependency between various parameters. This paper describes the influence that air humidity has on the PMs concentrations measured with IoT devices based on laser technologies. The results show the need to consider and build a specific ML algorithm to provide estimated PMs concentration values when the relative air humidity pass a certain threshold value (80%).