An Improved Automated Fire Detection and Prompt Management System for Buildings
Ikenna Calistus Dialoke
, Nnabueze Edmund Ajimah , Maryam Sufiyanu Masari , Teryima Igbax , Uche Timothy Okems
Fire disaster, Fire detection and management, Fire system, Arduino Uno, MP3 module, and Flame sensor.
The effects of fire disasters have constant negative impacts on humans and their dependable
such air, water, environment and property. Fire disaster has brought about numerous injuries, loss of
lives and destruction of valuables like documents, monies, and property. Some of these losses were due
to panics and stampeding. These effects were usually as a result of lack of early fire detection and
proper management for easy awareness, evacuation of humans and property, and fire extinguishing.
Having known the causes and effects of fire outbreaks, this paper focused on developing an improved
fire detection and management system using different technologies such as Arduino Uno
microcontroller, gas-leakage senor, smoke sensor, flame sensor, Global System for Mobile (GSM)
module, buzzer, MP3 module, and liquid crystal display (LCD) device. The developed fire detection
and management system was able to detect and report early signs like gas leakage and high
concentration of smoke that could lead to fire outbreak, and flames of fire. The system provided
means of alerting both the house owner(s) or caretaker(s) and occupants of the building at different
situations for immediate actions, and also provided clear directives through voice prompts on the best
alternative exit routes for easy evacuation. Hence, this fire system can be utilized for providing
maximum reduction of fire outbreaks and their costly effects.
"An Improved Automated Fire Detection and Prompt Management System for Buildings", IJEDR - INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH (www.IJEDR.org), ISSN:2321-9939, Vol.10, Issue 2, page no.221-224, June 2022, Available :https://rjwave.org/IJEDR/papers/IJEDR2202036.pdf
Volume 10
Issue 2,
March-2022
Pages : 221-224
Paper Reg. ID: IJEDR_220055
Published Paper Id: IJEDR2202036
Research Area: Engineering
Country: Kaduna, Kaduna, Nigeria
ISSN: 2321-9939 | IMPACT FACTOR: 9.37 Calculated By Google Scholar | ESTD YEAR: 2013
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.37 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJEDR (IJ Publication) Janvi Wave
