Study on highway fire detection based onmulti-information fusion technology

2014 ◽  
pp. 221-226
2013 ◽  
Vol 846-847 ◽  
pp. 883-887
Author(s):  
Ling Hui Niu ◽  
Zhu Ge Hu

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.


2013 ◽  
Vol 427-429 ◽  
pp. 2808-2812
Author(s):  
Xu De Cheng ◽  
Hong Li Wang ◽  
Bing Xu ◽  
Xue Dong Xue

Research and development of fault diagnosis system in application of integrated neural network information fusion is based on information fusion technology, with which preliminary analysis of equipment fault is made in different perspectives in terms of neural network, so as to identify the fault on the basis of fusion outcome. This technique is applied in fault diagnosis of one type of missile launching control unit, leading to sufficient use of various information and substantially increased fault diagnosis rate.


2013 ◽  
Vol 312 ◽  
pp. 607-610 ◽  
Author(s):  
Wei Hu ◽  
Ou Li

In view of the inadequacy of the fault diagnosis of the belt conveyor, the paper takes advantage of the application of fuzzy information fusion technology to fault diagnosis, based on the fuzzy set theory, a fault diagnosis method based on Multi-sensor fuzzy information fusion is developed. The obtain information of many sensors will fuzzy, again its fusion based on the synthetic operation and decision-making rules of the fusion center, in order to gain the accurate state estimation and judgment of belt conveyor. The experimental result indicates that the credibility of diagnosis is improved markedly and the uncertainty is reduced significantly after the multi-sensor fuzzy information fusion, the accurate diagnosis to belt conveyor is realized.


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