An IoT-based framework for an optimal monitoring and control of cyber-physical systems: Application on Biogas Production system

Abstract

Among the possible conversion processes for biomass is Anaerobic Digestion (AD) that produces a valuable energy known as biogas. However, the instability of biogas production is challenging due to the complex process of the AD that requires a precise environmental conditions as well as different bacteria populations. Hence, monitoring and controlling these conditions and tracking the bacteria behaviour inside the digester is the way to overcame this challenge and enhance the biogas production. We address these challenges by proposing an IoT-based framework that aims to implement an End-to-End secure Cyber-Physical System (CPS) for biogas plants. The proposed framework encloses three layers: the perception layer which is mainly the industrial network, the network layer that develops the IT network inside the plant where the supervision and control is being conducted. In addition, the application layer which is defined by the IoT platform and software sensor to enable predictive analysis. To show the effectiveness of the proposed solution, we deployed the framework implementation on GNS3 that fully simulates the real conditions