Title :
Hardware module design of a real-time multi-sensor fire detection and notification system using fuzzy logic
Author :
Sowah, R. ; Ofoli, A.R. ; Krakani, S. ; Fiawoo, S.
Author_Institution :
Univ. of Ghana, Accra, Ghana
Abstract :
Notwithstanding massive fire safety campaigns being carried out, incidents of fire outbreaks continue to increase annually. The alarming rate of these fire outbreaks requires an engineered solution system that detects fire in its early stages and contributes to the firefighting effort. Current research efforts have been directed towards the development of multi-sensor fire detection algorithms to increase the sensitivity of fire detection devices and reduce nuisance alarms. This paper presents the design and implementation of a multi-sensor fire detection and notification system using fuzzy logic. The microcontroller processes data from an MQ2 smoke sensor, a TMP102 temperature sensor and a DFRobot flame sensor using a fuzzy logic algorithm to determine the fire status.
Keywords :
alarm systems; fires; flames; fuzzy logic; microcontrollers; real-time systems; safety systems; sensor fusion; temperature sensors; DFRobot flame sensor; MQ2 smoke sensor; TMP102 temperature sensor; alarming rate; engineered solution system; fire detection device sensitivity; fire outbreaks; fire safety campaigns; fire status determination; firefighting effort; fuzzy logic algorithm; hardware module design; microcontroller; multisensor fire detection algorithms; nuisance alarms; real-time multisensor fire detection and notification system; Fires; Fuzzy logic; Fuzzy sets; GSM; Microcontrollers; Smoke detectors; Temperature sensors; data fusion; fire detection; fuzzy logic; microcontroller-based; multi-sensors;
Conference_Titel :
Industry Applications Society Annual Meeting, 2014 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/IAS.2014.6978415