Design on Fire Alarm System Based on BP Neural Network and Multiple Source Information Fusion
Wei Wang, Bo Jiang, Liping Yang
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.21How to use a DOI?
- multiple source information fusion; BP neural network; fire alarm system; intelligent
- 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.
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 -