NESNELERİN İNTERNETİ TEKNOLOJİSİNE DAYALI AKILLI YANGIN ALGILAMA SİSTEMİ GELİŞTİRİLMESİ

Fire is one of the natural disasters which is very harmful. Fires mostly are caused byunforeseen situations such as electric leakage, gas leakage, neglection, etc. They areignited by uncontrolled combustion of solid, liquid or gas substances. Flames, hightemperature, and humidity are results of the fire. Moreover, a fire was observed to spreadto the entire room within three minutes. So, when a fire occurs, it must be identifiedas quickly as possible, people must be evacuated, and the fire must be intervened. Lateextinguished fires could cause loss of property and life. Therefore, early intervention infires is essential. According to this, early fire detection systems are used to detect fires.For this reason, temperature, flame and smoke sensors are placed in settlements, andthe system gives an alarm when a fire breaks out. Current conventional fire monitoringsystems warn for the people, call the fire brigade, and initiate fire extinguishing systemafter detecting a fire. Unfortunately, they don’t provide location information where thefire starts. Therefore, using a fire detection system which can identify fire on its firststages and show the fire location is very important. In this thesis, an Internet of Things(IoT) based smart fire monitoring system including temperature, humidity, gas and flamesensors is proposed to identify fire efficiently and cost-effectively. The system is not onlydetecting fire and alarming, but also it informs both the fire department and predefinedusers when a fire breaks out