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现代矿业 ›› 2026, Vol. 42 ›› Issue (08): 194-200.

• 安全·环保 • 上一篇    下一篇

基于DSC的不同变质程度煤自燃特性及发火期预测研究

何 顺1,2,3 周 宁1,2,3 詹思博1 曾晓飞1,2,3 马小龙1,2,3   

  1. 1. 中钢集团马鞍山矿山研究总院股份有限公司;2. 金属矿山开采安全与灾害防治全国重点实验室; 3. 金属矿产资源高效循环利用国家工程研究中心
  • 出版日期:2026-08-25 发布日期:2026-08-21

Research on Spontaneous Combustion Characteristics and Ignition Period Prediction of Coal with Different Metamorphic Degrees Based on DSC

HE Shun1,2,3 ZHOU Ning1,2,3 ZHAN Sibo1 ZENG Xiaofei1,2,3 MA Xiaolong1,2,3   

  1. 1. Sinosteel Maanshan General Institute of Mining Research Co.,Ltd.;2. State Key Laboratory of Metal Mining Safety and Disaster Prevention and Control;3. National Engineering Research Center of High Effi⁃ ciency Cyclic Utilization of Metal Mineral Resources
  • Online:2026-08-25 Published:2026-08-21

摘要: 为探究煤变质程度对煤自燃特性及最短自然发火期的影响规律,选取 5 种不同变质 程度煤样开展工业分析、元素分析、程序升温氧化与差示扫描量热(DSC)试验,采用水分校正 Kiss‐ inger 法计算氧化表观活化能,结合多元线性回归构建最短自然发火期预测模型。结果表明:随煤 变质程度降低,煤体水分、挥发分含量升高,DSC 吸热特征增强,热流零值点提前,氧化表观活化能 整体降低;固定碳与氧含量与表观活化能呈显著正相关,相关系数分别为 0.942,0.901。模型实测 验证相对误差不大于 4.4%,预测精度较高;留一交叉验证平均误差为 12.5%,表明该经验模型具备 现场快速估算能力,但泛化精度仍需扩充样本优化。研究证实,煤变质程度通过调控煤体化学组 分与氧化反应能垒,主导煤的自燃倾向性与发火时序,基于常规检测指标建立的预测公式可低成 本、快速估算煤层最短自然发火期,适用于矿井自燃风险初步预判。

关键词: 煤自燃, 差示扫描量热法, 最短自然发火期, 水分校正Kissinger法, CO, 释放规律

Abstract: In order to explore the influence of coal metamorphic degree on the characteristics of coal spontaneous combustion and the shortest spontaneous combustion period,five kinds of coal samples with different metamorphic degrees are selected to carry out industrial analysis,elemental analysis,tempera⁃ ture programmed oxidation and differential scanning calorimetry (DSC) test. The apparent activation energy of oxidation is calculated by water correction Kissinger method,and the prediction model of the shortest spontaneous combustion period is constructed by multiple linear regression. The results show that with the decrease of coal metamorphism,the moisture and volatile content of coal increase,the endothermic char⁃ acteristics of DSC increase,the zero point of heat flow advances,and the apparent activation energy of oxi⁃ dation decreases as a whole. The fixed carbon and oxygen contents are significantly positively correlated with the apparent activation energy,and the correlation coefficients are 0.942 and 0.901,respectively. The relative error of the measured verification of the model is not more than 4.4%,and the prediction accuracy is high. The average error of leave-one-out cross-validation is 12.5%,indicating that the empirical model has the ability to estimate quickly on site,but the generalization accuracy still needs to be optimized by ex⁃ panding the sample. Studies have confirmed that the degree of coal metamorphism dominates the spontane⁃ ous combustion tendency and ignition timing of coal by regulating the chemical composition and oxidation reaction energy barrier of coal. The prediction formula based on conventional detection indicators can quickly estimate the shortest spontaneous combustion period of coal seam at low cost,which is suitable for preliminary prediction of mine spontaneous combustion risk.

Key words: coal spontaneous combustion, differential scanning calorimetry, shortest spontaneous combustion period, water correction Kissinger method, CO release law