Advanced Edge to Cloud system architecture for Smart Real-Time water quality monitoring using cutting-edge portable IoT biosensor devices

Abstract

Heavy metal ions are amongst the most toxic elements that can be found in water. Dangerous contamination of water with heavy metal ions must be identified as quickly and reliably as possible and the relevant information must reach immediately and reliably those who need it (government bodies, local authorities, scientists, citizens) for prevention, taking the appropriate measures and further analysis. In this paper we present the approach of the MICSYS research project for an advanced edge to cloud system architecture for smart real-time water quality monitoring using cutting-edge portable IoT biosensor devices. The paper analyzes the implementation of this architecture, its evaluation criteria and methodology as well as its initial evaluation. The architecture ensures speed, reliability and general availability of measurements, moves processing as close as possible to the data sources, while taking advantage of the computing power on the path from the edge device to the cloud. The significant computing capabilities of the cloud can be used for further analysis of the raw data from the measuring devices using Artificial Intelligence (AI) technologies to refine the estimation algorithms of concentrations, find contamination trends in different areas and estimate future contamination risks.