An IoT Framework for the Pervasive Monitoring of Chemical Emissions in Industrial Plants

In this work an IoT framework for the monitoring of chemical emissions in industrial plants is presented. The proposed system can embed different sensors. In particular, each sensor node manages a humidity sensor and an array of temperature and electrochemical gas sensors for the detection of CO, NOx and O2. Moreover it exploits some dedicated processing algorithms to compensate the dependence of the sensor response on temperature. The sensor node is provided with LoRa LPWAN connectivity that allows Wide Area data transmission: Tests carried out in urban areas proved that a 3km communication range is achievable in noisy environments. A network architecture and a data acquisition and management structure is then presented for an application scenario in a Smart Industry context. A multilayer, modular topology is presented, combining the features of LoRa technology with shorter and larger range telecommunication channels, to develop an IoT framework that can be customized according to the physical and technical features of the deployment environment.