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Development of a Graded Early Warning Index System and Identification of Critical Temperatures for Coal Spontaneous Combustion Using Composite Gas Characteristics.

作者信息

Zhou Qinai, Mao Xiaopeng, Jia Baoshan

机构信息

College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China.

Key Laboratory of Coal Mine Fire and Gas Control State Administration of Mine Safety, Liaoning Technical University, China Coal Technology and Engineering Group, CCTEG Shenyang Research Institute, Shenyang 110000, China.

出版信息

ACS Omega. 2024 Aug 6;9(33):35515-35525. doi: 10.1021/acsomega.4c02481. eCollection 2024 Aug 20.

DOI:10.1021/acsomega.4c02481
PMID:39184523
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11339810/
Abstract

Conventional single gas alarm method and coal spontaneous combustion three-stage alarm method have become increasingly inadequate to meet complex underground conditions. To address this issue, this study focuses on the coal in the goaf of the Z109 working face in the Donggucheng Mine as the research object. Through program-controlled heating experiments, the production of carbon monoxide and hydrocarbon gases during the coal oxidation process was determined, and the variation characteristics of gas ratios with temperature were further analyzed. The coal spontaneous combustion process was subdivided into seven small stages, and a quantitative composite parameter coal spontaneous combustion grading warning system was formulated. Based on its characteristics, measures to be taken under different warning levels were proposed, and it was determined that 120, 140, and 160 °C are the key temperatures for coal spontaneous combustion prevention and control in the Z109 working face of Donggucheng Mine. By using numerical simulation, the optimal nitrogen injection position for the working face was determined and the on-site fire prevention and extinguishing measures were optimized, providing insights into the establishment of a coal mine spontaneous combustion warning system.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5eb1/11339810/98dd0eb39ad9/ao4c02481_0017.jpg
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本文引用的文献

1
Initial exploration on potential fire hazards detection from coal spontaneous combustion applied by acoustic wave.
Sci Total Environ. 2023 Nov 1;897:165475. doi: 10.1016/j.scitotenv.2023.165475. Epub 2023 Jul 12.