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Monitoring and Prediction of Fire Water System Based on Wireless Detection Method

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Abstract

This paper focusses on real-time detection and abnormal state prediction through a set of wireless equipment of fire water system to provide a better solution for fire inspection. The main goal of this research is to improve the fire extinguishing efficiency. Firefighting and rescue operations are urgent, and concealed or dry fire hydrants may cause failure cases of firefighting. To prevent this situation, this paper proposed the wireless equipment of fire water system to monitor the multiple indicators of outdoor hydrant, indoor hydrant, and sprinkler network. The objective of the experiment is to realize the real-time monitoring and obtain the data information of the state of the fire water system. Also, the multiple linear regression analysis method is adopted to analyze the monitored water pressure data to achieve rapid identification of abnormal water pressure value. The results indicate that the data transmission of the wireless equipment of fire water system is reliable, the pressure is accurately monitored below 0.40 MPa, and the average relative error of abnormal water pressure monitoring results is less than 6%. The new equipment and algorithm are used not only to monitor the state of water supply system, but also to depict the change of water consumption in the monitoring environment and predict the unconventional state, which provides directional help for fire patrol and inspection.

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Funding

Funding was provided by National Key Research and Development Program of China (Grant No. 2017YFC0806600).

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Authors and Affiliations

  1. Department of Engineering Physics, Institute of Public Safety Research, Tsinghua University, Beijing, 100084, China

    Jinjin Wu, Jun Hu & Xueming Shu

  2. School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China

    Jinjin Wu

  3. Emergency Management Bureau of Longhua District, Shenzhen, China

    Jiarun Mao

  4. Beijing Key Laboratory of City Integrated Emergency Response Science, Tsinghua University, Beijing, China

    Jun Hu & Xueming Shu

Authors
  1. Jinjin Wu
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  2. Jiarun Mao
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  3. Jun Hu
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  4. Xueming Shu
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Correspondence to Xueming Shu.

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Wu, J., Mao, J., Hu, J. et al. Monitoring and Prediction of Fire Water System Based on Wireless Detection Method. Fire Technol 58, 2213–2228 (2022). https://doi.org/10.1007/s10694-022-01235-0

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  • DOI: https://doi.org/10.1007/s10694-022-01235-0

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