TY - JOUR
T1 - A Fire-Detection and Control System in Automobiles
T2 - Implementing a Design That Uses Fuzzy Logic to Anticipate and Respond
AU - Sowah, Robert
AU - Ampadu, Kwame O.
AU - Ofoli, Abdul R.
AU - Koumadi, Koudjo
AU - Mills, Godfrey A.
AU - Nortey, Joseph
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Despite the immense benefits of fire detection in road transport, more than 2,000 vehicles are damaged by unexpected fires on a daily basis. On a global scale, incendiary-based losses for the automobile and insurance industries have run in to the billions of dollars in the past decade. One contributing factor is the lack of a sophisticated fire safety system in automobiles. This has been addressed by designing and implementing fuzzy logic control systems with feedback over an Arduino microcontroller system. The automatic system, consisting of flame, temperature, and smoke sensors as well as a re-engineered mobile carbon dioxide (CO 2 ) air-conditioning unit, was tested on a medium-sized physical car. Results suggest that the automobile fire-detection and control system, devoid of false alarms, detects and extinguishes fire in under 20s. An innovative, very promising modular solution for hardware implementation in fire detection and control for automobiles has been developed by using new algorithms and fuzzy logic.
AB - Despite the immense benefits of fire detection in road transport, more than 2,000 vehicles are damaged by unexpected fires on a daily basis. On a global scale, incendiary-based losses for the automobile and insurance industries have run in to the billions of dollars in the past decade. One contributing factor is the lack of a sophisticated fire safety system in automobiles. This has been addressed by designing and implementing fuzzy logic control systems with feedback over an Arduino microcontroller system. The automatic system, consisting of flame, temperature, and smoke sensors as well as a re-engineered mobile carbon dioxide (CO 2 ) air-conditioning unit, was tested on a medium-sized physical car. Results suggest that the automobile fire-detection and control system, devoid of false alarms, detects and extinguishes fire in under 20s. An innovative, very promising modular solution for hardware implementation in fire detection and control for automobiles has been developed by using new algorithms and fuzzy logic.
UR - http://www.scopus.com/inward/record.url?scp=85061730598&partnerID=8YFLogxK
U2 - 10.1109/MIAS.2018.2875189
DO - 10.1109/MIAS.2018.2875189
M3 - Article
AN - SCOPUS:85061730598
SN - 1077-2618
VL - 25
SP - 57
EP - 67
JO - IEEE Industry Applications Magazine
JF - IEEE Industry Applications Magazine
IS - 2
M1 - 8602441
ER -