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Research progress and visualization of underground coal fire detection methods.

Tao Wang1, Haiyan Wang2, Xiyang Fang1,3

  • 1School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing, 100083, China.

Environmental Science and Pollution Research International
|May 26, 2023
PubMed
Summary
This summary is machine-generated.

Accurate underground coal fire detection is crucial. Research shows current focus on detection techniques, with multi-information fusion methods emerging as the future trend for improved accuracy and applicability.

Keywords:
Coal fireDetection methodsInversionMulti-source information fusionVisualization

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Area of Science:

  • Geosciences
  • Environmental Science
  • Mining Engineering

Background:

  • Underground coal fires pose global environmental and safety risks.
  • Accurate detection is vital for effective fire control engineering.
  • Coal mining safety is significantly impacted by these disasters.

Purpose of the Study:

  • To analyze research trends in underground coal fire detection.
  • To review existing single-indicator detection methods.
  • To highlight future research directions, particularly multi-information fusion.

Main Methods:

  • Bibliometric analysis of 426 articles (2002-2022) from Web of Science.
  • Visualization of research trends using VOSviewer and CiteSpace.
  • Review and comparative analysis of various detection techniques.

Main Results:

  • "Underground coal fire detection techniques" is the current research focus.
  • "Underground coal fire multi-information fusion inversion detection methods" represent a future trend.
  • Single-indicator methods (temperature, gas, magnetic, etc.) have limitations.

Conclusions:

  • Multi-information fusion methods offer high precision and broad applicability for underground coal fire detection.
  • Challenges remain in integrating diverse data sources for fusion methods.
  • This study provides insights for researchers and practitioners in the field.