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

2014 ◽  
Author(s):  
Wei Wang ◽  
Bo Jiang ◽  
Liping Yang
Keyword(s):  
Neural Network ◽  
Information Fusion ◽  
Bp Neural Network ◽  
Multiple Source ◽  
Alarm System ◽  
Source Information ◽  
Fire Alarm ◽  
Fire Alarm System

Study of the Transducer Fault Diagnosis Module for Fire Alarm System

2013 ◽  
Vol 462-463 ◽  
pp. 45-50
Author(s):  
Min Lin Liu ◽  
Bo Yun Liu
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Information Fusion ◽  
Rbf Neural Network ◽  
Alarm System ◽  
Intelligent Algorithms ◽  
Fire Alarm ◽  
Higher Dimensional ◽  
Non Linear ◽  
Fire Alarm System

As for different systems, there are much more intelligent algorithms for the sensors fault diagnosis. Some improvements and alternatives can be applied to several aspects of research. Many sensors fault modality are non-linear or general higher dimensional shapes to the diagnosis problem thus allowing to model arbitrarily complex failure phenomena. In the paper, the transducer fault diagnosis module introduces the information fusion basing on RBF neural network and the redundancy calculation, it shows that the failure of the fire alarm sensors can be detected and rehabilitated.

A Design of the Intelligent Fire Alarm System Based on CAN Bus

2014 ◽  
Vol 971-973 ◽  
pp. 1041-1044
Author(s):  
Hui Jun Wang ◽  
Tao Zhang
Keyword(s):  
Information Fusion ◽  
Can Bus ◽  
High Rate ◽  
Alarm System ◽  
Fusion Technology ◽  
Fire Control ◽  
Fire Alarm ◽  
Fire Alarm System ◽  
Multiple Sensor ◽  
Time Accuracy

In order to solve the existing automatic fire alarm system shortcomings, such as high rate of false positives and poor reliability, this paper introduces an intelligent fire alarm system in the composition of MCU based on the CAN bus technology. The system, with the control core of STM32F103, uses multiple sensor information fusion technology to realize the fire warning, and adopts the advanced CAN bus technology to realize efficient, reliable and economic connections between the sensor and the fire linkage. Practice shows that the system is of high real-time, accuracy, and can meet the requirements of fire control in buildings.

RESEARCH OF FIRE ALARM SYSTEM BASED ON EXTENSION NEURAL NETWORK

2015 ◽  
Vol 2 (1) ◽  
pp. 9-16
Author(s):  
Tichun WANG ◽  
Hao YAN ◽  
Shisheng ZHONG ◽  
Yongjian ZHANG
Keyword(s):  
Neural Network ◽  
Alarm System ◽  
Fire Alarm ◽  
Fire Alarm System

scholarly journals Multi-Sensor Building Fire Alarm System with Information Fusion Technology Based on D-S Evidence Theory

Algorithms ◽  
2014 ◽  
Vol 7 (4) ◽  
pp. 523-537 ◽  
Author(s):  
Qian Ding ◽  
Zhenghong Peng ◽  
Tianzhen Liu ◽  
Qiaohui Tong
Keyword(s):  
Information Fusion ◽  
Evidence Theory ◽  
Alarm System ◽  
Fusion Technology ◽  
Fire Alarm ◽  
Building Fire ◽  
Fire Alarm System

Information Fusion Technology Based on Wireless Fire Detection and Alarm System

2013 ◽  
Vol 846-847 ◽  
pp. 883-887
Author(s):  
Ling Hui Niu ◽  
Zhu Ge Hu
Keyword(s):  
Wireless Communication ◽  
Communication Technology ◽  
Information Fusion ◽  
Fire Detection ◽  
Alarm System ◽  
Chemical Signal ◽  
Fusion Technology ◽  
Fire Alarm ◽  
Detection Technology ◽  
Fire Alarm System

In order to solve the problem, which is "the traditional fire alarm system is only used to detect a particular physical or chemical signal of the fire, moreover, false alarm and failure alarm can occur easily. We apply multi-sensor composite detection technology and wireless communication technology in the fire detection and alarm system,and design an intelligence distributed wireless fire detection alarm system, which is mainly based on STM32 control chip.

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