• DocumentCode
    3677784
  • Title

    Two-Level Fuzzy Based Fire Prediction Scheme Using Wireless Sensor Network

  • Author

    Shobhit Kumar Nagpal;S. Sudha

  • Author_Institution
    Dept. of Electr. &
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    Recent research works focus on monitoring temperature and relative humidity to detect fire accidents in firework industries. Many of the fire accidents reported are due to the friction of the chemicals during heavy wind flow. This confirms that air flow and toxicity of the gases are to be monitored in addition to temperature and relative humidity. Nevertheless, the existing works lack monitoring of air flow and toxicity. Hence, a Wireless Sensor Network that monitors all the essential parameters is deployed using IRIS motes. Further, the severity of the risk is evaluated through a proposed novel two-level fuzzy based fire prediction scheme implemented in MATLAB. An alarm is raised as a warning signal for labours and people close to the environment during high risk. Thus fire accidents at firework industries can be predicted and damage be avoided. The fuzzy is validated through simulation. Through motes the parameters are observed at different times and their corresponding risk probability is evaluated. The results confirm the supremacy of the proposal.
  • Keywords
    "Temperature sensors","Humidity","Fires","Monitoring","Temperature measurement","Wireless sensor networks","Temperature distribution"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing and Communication Engineering (ICACCE), 2015 Second International Conference on
  • Print_ISBN
    978-1-4799-1733-4
  • Type

    conf

  • DOI
    10.1109/ICACCE.2015.105
  • Filename
    7306650