Fire Spread Monitoring System of A Forest Based On Interpolation and Cloud Computing

In the developed world, it is necessary to save the natural environments. A lot of incidents of human-made and natural catastrophes were occurring around the world. Forest fires are one of these environment disasters. The goal of this research is to construct and develop a cloud system which can detect the exact location of a forest fire and the spreading speed and direction of the fire. The location and direction of fire can be directly monitored on Google Maps application. An interpolation algorithm has been suggested to determine the time required for the fire an known point location on the forest. This will give the possibility to intervene and prevent the spreading of the fire significantly. The system utilizes Node Micro Controller Unit, Infrared flame detection sensors modules, Global Positioning System module with each sensor to provide the exact location for each to reach fire detected sensor. The proposed system gave accurate results and a high response speed, where the forest supervisor could monitor the fire continuously through a webpage which is connected to Google Maps. The interpolation algorithm was a suitable to determine the time for the fire to reach a certain point or a specific sensor at the forest.