Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Design on Fire Alarm System Based on BP Neural Network and Multiple Source Information Fusion

Authors
Wei Wang, Bo Jiang, Liping Yang
Corresponding Author
Wei Wang
Available Online March 2014.
DOI
https://doi.org/10.2991/mce-14.2014.21How to use a DOI?
Keywords
multiple source information fusion; BP neural network; fire alarm system; intelligent
Abstract
The infrared and smoke sensors widely applied in fire alarm and fire monitoring in the scene of large indoor and outdoor warehouse is vulnerable to sorts of interference noise, it may out of work to cause error fire alarm or fire omission. Based on design of reliable flame recognition algorithm, a practical intelligent fire alarm system based on BP neural network and multiple source information was constructed. The system uses multi-channel time-division multiplexing technology to constitute temperature detector, photoelectric smoke detector and infrared CCD detector into multiple source detector set. The information fusion and BP neural network were used for accurate prediction of fire level, which improves reliability of fire alarm and decrease false alarm rate.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wei Wang
AU  - Bo Jiang
AU  - Liping Yang
PY  - 2014/03
DA  - 2014/03
TI  - Design on Fire Alarm System Based on BP Neural Network and Multiple Source Information Fusion
BT  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 99
EP  - 102
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.21
DO  - https://doi.org/10.2991/mce-14.2014.21
ID  - Wang2014/03
ER  -