Study and Design of a Fire Alarm System Based on Data Fusion Technology

doi:10.3969/j.issn.1000-1565.2010.01.022

Abstract

Abstract: Proposed a multisensor data fusion technology, which is based on neural network and fuzzy reasoning technologies and field bus, It thoroughly abstracts the data fusion technology. The results of imitated really input information confirmed that the multisensor data fusion technology is used BP neural network and fuzzy reasoning can accurately forecast fire, effectivly lower false alarm rate, and it reached the expected good results.

Key words: data fusion, neural network, fuzzy reasoning, field bus, fire alarm

CLC Number:

TP277

ZHANG Tie-bi,LI Guang,SUN Shi-wei. Study and Design of a Fire Alarm System Based on Data Fusion Technology[J]. Journal of Hebei University (Natural Science Edition), 2010, 30(1): 102-106.

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Study and Design of a Fire Alarm System Based on Data Fusion Technology

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