<p>Coal spontaneous combustion (CSC) represents a significant safety concern in the coal mining industry. This paper proposes a new CSC detection technology that combines electric and acoustic signals, which can comprehensively understand the precursor information of CSC fires and improve monitoring accuracy. To this end, an experimental platform for electric–acoustic–temperature coupling was established to study the spatiotemporal response characteristics of electric–acoustic signals. The micromechanism of electric–acoustic signal generation and the field test of electric–acoustic signals in high-temperature abnormal areas were analyzed. The results indicated that as temperature increases, the resistivity value gradually decreases from the central heat source to the surrounding area, exhibiting characteristics of a rapid decline-rise-high-temperature decline stage. The acoustic emission maximum ring count was positively correlated with temperature, and the average energy and average ring count increased first and then stabilized. The generation of electric–acoustic signals has a certain connection at the microscopic level. The characteristics of the electric–acoustic signal in the coal field high-temperature abnormal area are consistent, and the high-temperature abnormal points can be located. The research results provide a basis for achieving electric–acoustic coupling for monitoring of CSC.</p>

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A New Method for Detecting and Warning Coal Spontaneous Combustion Based on Electric–Acoustic Coupling: Mechanism and Precursor Signal Characteristics Research

  • Biao Kong,
  • Kaoming Zhang,
  • Wenrui Zhang,
  • Xiaochuan Ma,
  • Jiahui Li,
  • Guangchuan Li,
  • Yinan Zhang,
  • Caihua Shi,
  • Guangyu Duan,
  • Prosper Awoleba

摘要

Coal spontaneous combustion (CSC) represents a significant safety concern in the coal mining industry. This paper proposes a new CSC detection technology that combines electric and acoustic signals, which can comprehensively understand the precursor information of CSC fires and improve monitoring accuracy. To this end, an experimental platform for electric–acoustic–temperature coupling was established to study the spatiotemporal response characteristics of electric–acoustic signals. The micromechanism of electric–acoustic signal generation and the field test of electric–acoustic signals in high-temperature abnormal areas were analyzed. The results indicated that as temperature increases, the resistivity value gradually decreases from the central heat source to the surrounding area, exhibiting characteristics of a rapid decline-rise-high-temperature decline stage. The acoustic emission maximum ring count was positively correlated with temperature, and the average energy and average ring count increased first and then stabilized. The generation of electric–acoustic signals has a certain connection at the microscopic level. The characteristics of the electric–acoustic signal in the coal field high-temperature abnormal area are consistent, and the high-temperature abnormal points can be located. The research results provide a basis for achieving electric–acoustic coupling for monitoring of CSC.