Ad Hoc Networks. 11th EAI International Conference, ADHOCNETS 2019, Queenstown, New Zealand, November 18–21, 2019, Proceedings

Research Article

Rail Vehicle Fire Warning System Based on Gas Vapor Sensor Network

  • @INPROCEEDINGS{10.1007/978-3-030-37262-0_25,
        author={Min Ai and Rui Tian},
        title={Rail Vehicle Fire Warning System Based on Gas Vapor Sensor Network},
        proceedings={Ad Hoc Networks. 11th EAI International Conference, ADHOCNETS 2019, Queenstown, New Zealand, November 18--21, 2019, Proceedings},
        proceedings_a={ADHOCNETS},
        year={2020},
        month={1},
        keywords={Fire alarming Sensor network Gas vapor Outlier detection},
        doi={10.1007/978-3-030-37262-0_25}
    }
    
  • Min Ai
    Rui Tian
    Year: 2020
    Rail Vehicle Fire Warning System Based on Gas Vapor Sensor Network
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-030-37262-0_25
Min Ai1,*, Rui Tian2,*
  • 1: China Railway Signal & Communication Shanghai Engineering Bureau Group Co., Ltd.
  • 2: Beijing University of Technology
*Contact email: Min.ai_cn@hotmail.com, Rui.tian@bjut.edu.cn

Abstract

Fire accidents in rail vehicles often cause unpredictable catastrophic losses due to high population density and closed environment. At present, existing smart fire prevention schemes are mostly based on the emergency treatments after the fire. Since it takes time for firefighters arriving at the fire, the fire may already become disastrous at that time. This paper proposes a detection framework and also detailed sensing and data processing technologies, in order to detect volatile flammable liquid in closed spaces such as rail vehicle carriages. The proposed mechanism is designed to eliminate potential fire disaster based on gas vapor sensor network. Experiment results shows the proposed surveillant system can detect gasoline vapor components in small space with high sensitivity while maintaining very low false detection rates to external interferences.