NDLI: A fire detecting method based on multi-sensor data fusion

Content Provider	IEEE Xplore Digital Library
Author	Shaohua Chen Hong Bao Xianyun Zeng Yimin Yang
Copyright Year	2003
Description	Author affiliation: Fac. of Autom., Guangdong Univ. of Technol., China (Shaohua Chen; Hong Bao; Xianyun Zeng; Yimin Yang)
Abstract	In this paper, a fire detection system is designed based on multi-sensor data fusion technology. According to the fire signal's inherent character, the around temperature, smoke density and CO density are considered as the chief fire detecting signals. By introducing the "feedback" of cybernetics, a new algorithm that extracts the fire data-fitting characteristic is presented. The algorithm may improve the accuracy and quickness of early warning with a tendency feedback signal. In this fire detecting system, the fire experiential characteristic and the fire data-fitting characteristic of fire signal data are fused by the fuzzy inference system to get the last fire probability. Finally simulation experiments are done for typical flaming fire, typical smoldering fire and the fire under typical disturbance signals in kitchen environment. And satisfactory results are obtained.
Sponsorship	Syst., Man & Cybernetics Soc. IEEE
Starting Page	3775
Ending Page	3780
File Size	349317
Page Count	6
File Format	PDF
ISBN	0780379527
ISSN	1062922X
DOI	10.1109/ICSMC.2003.1244476
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fires Feedback Inference algorithms Temperature Gas detectors Smoke detectors Signal detection Cybernetics Data mining Fuzzy systems
Content Type	Text
Resource Type	Article

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