Design and implementation of a fire detection and control system for automobiles using fuzzy logic

Robert Sowah; Kwame O. Ampadu; Abdul Ofoli; Koudjo Koumadi; Godfrey A. Mills; Joseph Nortey

doi:10.1109/IAS.2016.7731880

Design and implementation of a fire detection and control system for automobiles using fuzzy logic

Robert Sowah
, Kwame O. Ampadu
, Abdul Ofoli
, Koudjo Koumadi
, Godfrey A. Mills
, Joseph Nortey

Department of Computer Engineering

University of Ghana
University of Tennessee at Chattanooga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

41 Citations (Scopus)

Abstract

The immense benefits of fire in road transport cannot be overemphasized. However more than two thousand vehicles are damaged by unwanted fire on a daily basis. On a global scale, incendiary losses to the automobile and insurance industries have ran into billions of dollars over the last decade. A not-so-distant contributory factor is the lack of a sophisticated fire safety system on the automobile. This has been addressed by designing and implementing fuzzy logic control system with feedback over an Arduino micro-controller system. The automatic system consisting of flame sensors, temperature sensors, smoke sensors and a re-engineered mobile carbon dioxide air-conditioning unit was tested on a medium sized physical car. Results show that the automobile fire detection and control system devoid of false alarms, detects and extinguishes fire under 20 seconds. An innovative, very promising solution module for hardware implementation in fire detection and control for automobiles has been developed by using new algorithms and fuzzy logic.

Original language	English
Title of host publication	IEEE Industry Application Society, 52nd Annual Meeting
Subtitle of host publication	IAS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467386715
DOIs	https://doi.org/10.1109/IAS.2016.7731880
Publication status	Published - 2 Nov 2016
Event	52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 - Portland Duration: 2 Oct 2016 → 6 Oct 2016

Publication series

Name	IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016

Conference

Conference	52nd Annual Meeting on IEEE Industry Application Society, IAS 2016
Country/Territory	United States
City	Portland
Period	2/10/16 → 6/10/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Data fusion
air-conditioning
fire detection
fuzzy logic control
reengineering

Access to Document

10.1109/IAS.2016.7731880

Cite this

Sowah, R., Ampadu, K. O., Ofoli, A., Koumadi, K., Mills, G. A., & Nortey, J. (2016). Design and implementation of a fire detection and control system for automobiles using fuzzy logic. In IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016 Article 7731880 (IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2016.7731880

@inproceedings{24c6d448795e448b83b4f0e933c33125,

title = "Design and implementation of a fire detection and control system for automobiles using fuzzy logic",

abstract = "The immense benefits of fire in road transport cannot be overemphasized. However more than two thousand vehicles are damaged by unwanted fire on a daily basis. On a global scale, incendiary losses to the automobile and insurance industries have ran into billions of dollars over the last decade. A not-so-distant contributory factor is the lack of a sophisticated fire safety system on the automobile. This has been addressed by designing and implementing fuzzy logic control system with feedback over an Arduino micro-controller system. The automatic system consisting of flame sensors, temperature sensors, smoke sensors and a re-engineered mobile carbon dioxide air-conditioning unit was tested on a medium sized physical car. Results show that the automobile fire detection and control system devoid of false alarms, detects and extinguishes fire under 20 seconds. An innovative, very promising solution module for hardware implementation in fire detection and control for automobiles has been developed by using new algorithms and fuzzy logic.",

keywords = "Data fusion, air-conditioning, fire detection, fuzzy logic control, reengineering",

author = "Robert Sowah and Ampadu, \{Kwame O.\} and Abdul Ofoli and Koudjo Koumadi and Mills, \{Godfrey A.\} and Joseph Nortey",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 ; Conference date: 02-10-2016 Through 06-10-2016",

year = "2016",

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day = "2",

doi = "10.1109/IAS.2016.7731880",

language = "English",

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Sowah, R, Ampadu, KO, Ofoli, A, Koumadi, K, Mills, GA & Nortey, J 2016, Design and implementation of a fire detection and control system for automobiles using fuzzy logic. in IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016., 7731880, IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016, Institute of Electrical and Electronics Engineers Inc., 52nd Annual Meeting on IEEE Industry Application Society, IAS 2016, Portland, United States, 2/10/16. https://doi.org/10.1109/IAS.2016.7731880

Design and implementation of a fire detection and control system for automobiles using fuzzy logic. / Sowah, Robert; Ampadu, Kwame O.; Ofoli, Abdul et al.
IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7731880 (IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sowah, Robert

AU - Ampadu, Kwame O.

AU - Ofoli, Abdul

AU - Koumadi, Koudjo

AU - Mills, Godfrey A.

AU - Nortey, Joseph

PY - 2016/11/2

Y1 - 2016/11/2

N2 - The immense benefits of fire in road transport cannot be overemphasized. However more than two thousand vehicles are damaged by unwanted fire on a daily basis. On a global scale, incendiary losses to the automobile and insurance industries have ran into billions of dollars over the last decade. A not-so-distant contributory factor is the lack of a sophisticated fire safety system on the automobile. This has been addressed by designing and implementing fuzzy logic control system with feedback over an Arduino micro-controller system. The automatic system consisting of flame sensors, temperature sensors, smoke sensors and a re-engineered mobile carbon dioxide air-conditioning unit was tested on a medium sized physical car. Results show that the automobile fire detection and control system devoid of false alarms, detects and extinguishes fire under 20 seconds. An innovative, very promising solution module for hardware implementation in fire detection and control for automobiles has been developed by using new algorithms and fuzzy logic.

AB - The immense benefits of fire in road transport cannot be overemphasized. However more than two thousand vehicles are damaged by unwanted fire on a daily basis. On a global scale, incendiary losses to the automobile and insurance industries have ran into billions of dollars over the last decade. A not-so-distant contributory factor is the lack of a sophisticated fire safety system on the automobile. This has been addressed by designing and implementing fuzzy logic control system with feedback over an Arduino micro-controller system. The automatic system consisting of flame sensors, temperature sensors, smoke sensors and a re-engineered mobile carbon dioxide air-conditioning unit was tested on a medium sized physical car. Results show that the automobile fire detection and control system devoid of false alarms, detects and extinguishes fire under 20 seconds. An innovative, very promising solution module for hardware implementation in fire detection and control for automobiles has been developed by using new algorithms and fuzzy logic.

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KW - reengineering

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M3 - Conference contribution

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BT - IEEE Industry Application Society, 52nd Annual Meeting

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Sowah R, Ampadu KO, Ofoli A, Koumadi K, Mills GA, Nortey J. Design and implementation of a fire detection and control system for automobiles using fuzzy logic. In IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7731880. (IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016). doi: 10.1109/IAS.2016.7731880

Design and implementation of a fire detection and control system for automobiles using fuzzy logic

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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