• DocumentCode
    3368882
  • Title

    The research of fire detector based on information fusion technology

  • Author

    Haiqun Wang ; Yugui Zhang ; Ling Meng ; Zhikun Chen

  • Author_Institution
    Coll. of Electr. Eng., Hebei United Univ., Tangshan, China
  • Volume
    7
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    3678
  • Lastpage
    3681
  • Abstract
    Traditional fire detection technology is based on a single parameter, fault alarm and leakage alarm is very common. This paper studies the application of single chip computer and multi-sensor information fusion technology for design of an intelligent fire detector. This fire detector adopts single chip microcomputer to be control core, fusing three sensor data including temperature, smoke and CO air which have obvious character in fire, fire probability obtained by intelligent arithmetic of fuzzy neural network. The availability and reliability of intelligent fire alarm system arithmetic simulation results shows that the system can distinguish between smoldering fire and open flame with high precision, and system has high sensitivity, reducing errors and false alarm rate, reaching the desired purpose.
  • Keywords
    computerised instrumentation; fuzzy neural nets; intelligent sensors; microprocessor chips; sensor fusion; air sensor; false alarm rate; fire probability; fuzzy neural network; intelligent arithmetic; intelligent fire alarm system arithmetic simulation; intelligent fire detector technology; leakage alarm; multisensor information fusion technology; single chip microcomputer; smoke sensor; smoldering fire; temperature sensor; Algorithm design and analysis; Detectors; Fires; Fuzzy sets; Random access memory; Temperature sensors; Training; fuzzy inference; information fusion; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang
  • Print_ISBN
    978-1-61284-087-1
  • Type

    conf

  • DOI
    10.1109/EMEIT.2011.6023859
  • Filename
    6023859