An IoT Based Intelligent Fire Evacuation System

Nowadays fire accident in buildings has become a very common incident. As the structural design of modern buildings are complex and augmented, fire accident victims often find it difficult to identify a safe path to exit the building. As a result, they panic which causes more injuries and deaths. In this paper, we have proposed an IoT based intelligent fire evacuation system that will effectively guide people along an evacuation path in case of fire accidents. A* search algorithm has been used to control the central module of the proposed model. This will help people navigate out of danger by guiding through the shortest safe path possible. It shows the next best path if the first optimal path is already crowded. A grid based floor plan simulation both in software and hardware has been designed and implemented to accomplish the desired goal. For a real time, active, intelligent guidance system, here a wireless sensor network including sensors like PIR sensors, smokes sensors and heat sensors have been combined together. The system will not only help evacuees reach the exit but also automatically notify the fire brigade for rescue operation.