Application case of IoT, Cloud and DLT technologies to enhance particulate matter air sampling

Abstract

Aerosols are fine solid particles (particulate matter: PM) or liquid droplets in gas (usually air). Its origin can be natural or anthropogenic. Air PM pollution exposure is linked to diverse human health problems and to many environmental effects. Air samplers are used to study particles in air. Systematic periodic air sampling is needed to have confident air quality assessment. In this work we present a device (named RDMA) and a software application (named Enviro-Air Sampling) we have developed to enable access to environmental data, flow data, geolocation, and meteorological conditions from high volume air samplers (HVAS) with no data acquisition capabilities. One of the objectives of the RDMA (designed ab-initio to be an easy add-on to Tisch HVAS) is to enable a more precise determination (compared to Tisch Dickinson chart recorder) of the mass concentration of particles (MC) and of the standard mass concentration (SMC). In this paper we present some aspects of the work done that involved the use of IoT, Cloud, and DLT (Distributed Ledger Technology) technologies, that are enabling and driving Digital Transformation.