NESNELERİN İNTERNETİ TEKNOLOJİSİNE DAYALI AKILLI YANGIN ALGILAMA SİSTEMİ GELİŞTİRİLMESİ


Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Erciyes Üniversitesi, Fen Bilimleri Enstitüsü, Türkiye

Tezin Onay Tarihi: 2018

Tezin Dili: İngilizce

Öğrenci: AHMED OSMAN ALI

Asıl Danışman (Eş Danışmanlı Tezler İçin): Fehim Köylü

Özet:

Fire is one of the natural disasters which is very harmful. Fires mostly are caused by unforeseen situations such as electric leakage, gas leakage, neglection, etc. They are ignited by uncontrolled combustion of solid, liquid or gas substances. Flames, high temperature, and humidity are results of the fire. Moreover, a fire was observed to spread to the entire room within three minutes. So, when a fire occurs, it must be identified as quickly as possible, people must be evacuated, and the fire must be intervened. Late extinguished fires could cause loss of property and life. Therefore, early intervention in fires 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, and the system gives an alarm when a fire breaks out. Current conventional fire monitoring systems warn for the people, call the fire brigade, and initiate fire extinguishing system after detecting a fire. Unfortunately, they don’t provide location information where the fire starts. Therefore, using a fire detection system which can identify fire on its first stages 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 flame sensors is proposed to identify fire efficiently and cost-effectively. The system is not only detecting fire and alarming, but also it informs both the fire department and predefined users when a fire breaks out