Computing Platform for Monitoring Fire Hazards in Forest Areas using the IoT

The purpose of this work is to implement a computing platform based on programmable controllers integrated into the Internet of Things (IoT), which are designed for forest fire-fighting monitoring. To calculate the fire hazard assessment, a hierarchical fuzzy inference system (HFIS) has been implemented, which aggregates a set of input parameters characterizing the state of a forest area into a single assessment. When forming this assessment, parameters are taken into account that characterize the state of the climate, the presence of dry trees, the characteristics of the state of combustible materials located on the surface of the earth, as well as the state of peat. The implementation of the computing platform is carried out using a set of Arduino controllers. To test the functionality of the proposed computing complex, its model was implemented in the TinkerCAD simulation environment. Also, using the Python programming language, a similar HFIS was implemented in the form of an independent model. As a result of comparing these two computing complexes, it has been shown that they generate similar results. This fact confirms the possibility of using several Arduino controllers to implement a computing platform based on a HFIS. The proposed provisions are aimed at expanding the IoT networks to build monitoring systems for forests and other natural areas.