• DocumentCode
    1791041
  • Title

    Optimizing Threshold of Line Type Optical Fiber Heat Alarm Systems for Traffic Tunnel

  • Author

    Wang Wen-Qing ; Liu Xiao-Lu ; Du Xin-Min

  • Author_Institution
    Shenyang Fire Res. Inst. of Minist. of Public Security, Shenyang, China
  • fYear
    2014
  • fDate
    25-26 Oct. 2014
  • Firstpage
    409
  • Lastpage
    413
  • Abstract
    In order to keep a low false alarm rate of 1/year-kilometre, and in order to launch the fire alarm correctly in the initial stage of such a fire as occurred in a car, a method of threshold selection for a fire alarm system particularly applied in traffic tunnels is discussed in this thesis. Each fire alarm detector randomly collects environmental temperature rise gradients (TRG) and the probability that thus-collected TRG is higher than the lower limit of fire alarm threshold shall be lower than 3 x10-10, the upper limit of fire alarm threshold is defined as the minimum TRG corresponding to a fire with a heat release rate of no less than 1.2MW in the related tunnel. The author has given a detailed description of tunnel fire validation testing and methods for data collection, analysis and statistics in an operating tunnel. The method for rational selection of fire alarm threshold has a universal significance to the further improvement of reliability and practicality of a fire alarm system in traffic tunnels.
  • Keywords
    diffraction gratings; fibre optic sensors; fires; statistical analysis; temperature sensors; tunnels; TRG; data analysis; data collection; differential temperature threshold optimization; environmental temperature rise gradient; false alarm rate; fire alarm detector; fire alarm threshold; line type optical fiber heat alarm systems; statistical analysis; threshold selection method; traffic tunnel; tunnel fire validation testing; Alarm systems; Detectors; Fiber gratings; Fires; Heating; Temperature measurement; Temperature sensors; Fire alarm; Optical Fiber grating; Threshold; Tunnel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-6635-6
  • Type

    conf

  • DOI
    10.1109/ICICTA.2014.105
  • Filename
    7003568