Meitan xuebao (Mar 2024)
Identification and detection technology for high-temperature spontaneous combustion points in goaf areas
Abstract
The total amount and scope of mined-out areas caused by the coal mining activities in China are large. Effective identification and detection of the coal spontaneous combustion point in the mined-out zone is an important guarantee for the safe production of coal mines. From the process of coal spontaneous combustion in the mining area and the characteristics of the formation and transfer of high-temperature points, the characteristics of the generation and evolution of high-temperature points in the mining area are summarized, and the basic theoretical support is provided for the effective identification and detection of high-temperature points of coal spontaneous combustion in the mining area. Focusing on the basic principles, research progress and practical application effects of underground direct exploration technology, surface and airborne detection technology, the authors conduct multiple comparisons in terms of reliability and stability, and analyze the applicability of the existing detection technologies for identifying the high-temperature point of coal spontaneous combustion. Aiming at the difficulties in detection, the research status and application potential of emerging technologies such as the mine acoustic temperature information detection, the heat source detection based on quantum technology, and the millimeter radar wave detection technology are expanded and analyzed. The future development trend of coal spontaneous combustion hidden ignition source detection technology is envisioned through the comprehensive assessment of existing technologies and the prospective thinking of emerging technologies. Combined with the current development trend of physical exploration technology and multiple information fusion theory, the concept of intelligent visualization system for the dynamic transfer of high-temperature points in the mined-out zone is proposed. The significance of the construction of the platform for the whole life cycle of mining is explained in terms of the application of the integrated time-division and multi-dimensional detection mode of “space-sky-earth-hole” and the digital twin model of the step-by-step spatial-temporal evolution of “feature acquisition-scenario simulation planning-dynamic decision-making”. Through the gradual implementation of the concept, it provides a new decision-making idea for realizing the efficient identification and prediction of hidden fire sources in the mined-out area and the intelligent construction of mines.
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