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多传感器信息融合技术在火灾探测中的应用研究 被引量:1

Study on the Application of Multi-sensors Information Fusion Technology in Fire Detection
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摘要 传统火灾报警系统基于单一参数进行探测,误报和漏报的问题日益突出。为了预防和减少火灾的发生,利用信息融合技术将多传感器信号数据进行融合,让我们对环境或对象特征有全面而正确的认识。本文从火灾探测的基本原理分析入手,将多传感器信息融合技术的框架引入火灾探测的算法研究中,按照数据融合的三个层次,进行层次化的信息融合,并且采用了模块化的算法识别。 In order to solve the increasingly prominent false alarm and omission problems of traditional fire alarm system based on single parameter detection,,and to reduce the occurrence of fire,the author uses the information fusion technology to fuse multi-sensor signal data,leaving us a correct understanding of environment and characteristics of objects.From the analysis on the basic principle of the fire test,this paper introduces the framework of multi-sensor information fusion technology into the study of fire detection algorithm,fusing hierarchical information based on three levels of data fusion,and adopts the modular identification algorithm.
作者 傅莉
机构地区 景德镇陶瓷学院
出处 《科技广场》 2013年第8期88-90,共3页 Science Mosaic
关键词 多传感器信息融合技术 火灾探测 算法 Multi-sensors Information Fusion Technology Fire Detection Algorithm
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  • 1范维澄 王清安.火灾科学导论[M].武汉:湖北科学技术出版社,1993..
  • 2[1]Hall J R. The latest statistics on U.S home smoke detectors[J]. Fire Journal, 1989,83(1):39-41.
  • 3[2]Pfister G.Multisensor/multicriteria fire detection: A new trend rapidly become state of the art[J].Fire Technology,1997,33:115-139.
  • 4[3]Milke J A,Mowrer F W.A design algorithm for smoke management systems in atria and covered malls[R].Report FP 93-04, Report to American Society of Heating,Refrigeration and Air-Conditioning Engineers,University of Maryland,May 1993.
  • 5[4]Mcavoy T J,Milke J A,Kunt T A.Using multivariate statistical methods to detect fires[J].Fire Technology,1996,32:1,6-24.
  • 6Xiao Huyu,IEEE Trans Neural Networks,1995年,6卷,3期,669页
  • 7Wu Longbiao,Association For Fire Detection Science And Technology,1995年,9卷,256页
  • 8范维澄,火灾科学导论,1993年

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