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