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Optimization study of mine fire sensor based on grey correlation analysis.

Xiaokun Zhao1,2, Minghao Ni1, Wencai Wang2

  • 1School of Coal Engineering, Shanxi Datong University, Datong, Shanxi, P.R. China.

Plos One
|February 11, 2025
PubMed
Summary
This summary is machine-generated.

This study optimizes mine fire sensor placement using grey correlation analysis and simulations. It improves early fire detection, reducing delays and false alarms for enhanced mine safety.

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Area of Science:

  • Mine safety engineering
  • Fire detection systems
  • Computational fluid dynamics

Background:

  • Current mine fire sensors suffer from delayed detection, omissions, and false alarms due to single-point data collection and fixed sensor distribution.
  • Independent data collection by existing sensors limits comprehensive mine fire monitoring capabilities.

Purpose of the Study:

  • To optimize the number and placement of fire sensors in mines for improved fire detection.
  • To investigate mine fire characteristics, including gas, temperature, and wind speed dynamics.
  • To determine critical times for fire hazard propagation to other tunnels.

Main Methods:

  • Utilized Fire Dynamics Simulator (FDS) numerical simulation software and fire similarity experiments.
  • Employed grey correlation analysis to optimize sensor placement and determine critical fire spread times.
  • Measured carbon monoxide (CO) content at ventilation nodes under various wind speeds.

Main Results:

  • Established a correlation between CO content, wind speed, and fire characteristic gases, temperature, and tunnel wind speed.
  • Determined critical timeframes for fire hazard spread based on CO detection and wind conditions.
  • Proposed an optimized sensor placement scheme considering safe personnel escape times.

Conclusions:

  • Grey correlation analysis provides an effective method for optimizing mine fire sensor networks.
  • The proposed sensor optimization scheme enhances early fire detection and mitigates risks associated with fire spread.
  • Integrating simulation data with experimental findings leads to more robust mine safety strategies.