巨野煤田主要矿井属于深部开采矿井，主采 3#煤层具有埋深大（900 ~ 1000 m）、 围岩温度高，煤自燃起始温度高（达到 35 ~ 40 ℃），自然发火期短等特点；同时，高 地压易使工作面煤柱破碎，导致采空区漏风规律复杂，使煤自燃风险显著升高。因此， 本文以巨野煤田三个矿井（唐口、新巨龙及赵楼煤）主采的 3#煤层煤样为研究对象， 采用傅里叶变换红外光谱仪、同步热分析仪和煤自燃程序升温试验装置系统性的研究 了巨野煤田主采 3#煤层氧化燃烧过程中微观特性、氧化动力学特征及煤自燃指标气体 生成规律，最终构建了巨野煤田 3#煤层煤自燃预警指标体系。研究结果可为巨野煤田 3#煤层在开采过程中存在的自燃危险性预测预报提供决策，对于深部开采高地温矿井 煤层的自燃风险早期监测预警及防控具有重要的指导意义。

       通过工业分析、红外光谱等方法，得到了不同煤样的煤质指标、主要官能团占比 等参数，发现各煤样具有挥发分含量高、水分及固碳含量低的特点，且 FCad/Vad值介于 1.176 ~ 1.642 之间，煤的氧化反应自发性强，自燃危险性高；煤的孔隙以小孔为主，孔 隙体积与综合分形维数由小到大皆为赵楼煤 < 唐口煤 < 新巨龙煤，可得到各煤样与氧 接触能力由小到大分别为赵楼煤 < 唐口煤 < 新巨龙煤；煤中脂肪烃、含氧官能团及芳 香烃含量的总体占比同样是影响煤自燃特性的关键参数。上述参数的差异是导致活化 能大小及氧化气态产物呈现阶段性特征的内因，对于评估煤自燃倾向性及构建预警指 标体系有重要影响作用。此外，根据 Bagchi 法推断煤样在不同氧化阶段的反应模型， 发现唐口、新巨龙和赵楼煤在失水失重阶段与吸氧增重阶段分别具有不同的反应模型， 但氧化燃烧阶段的反应模型却一致，皆遵循7号反应机理函数，各煤样在氧化后期的反 应机制基本相同。

       最后，采用程序升温装置测试煤低温氧化过程中的气态产物，分析了煤的微观结 构特征对气态产物生成量的影响；并依据指标气体增长率分析法确定煤的特征温度将 氧化过程分为四个阶段，并通过主成分分析法及灰色关联度优选了巨野煤田 3#煤层在 初始氧化阶段（R2、G2）、加速氧化阶段（G1、G2）、剧烈氧化阶段（G2、R1）和氧化 分解阶段（R1）的复合指标气体；根据碳氧比率及指标气体特点确定了煤自燃四级预 警等级划分标准，基于 Logistic 函数构建了煤自燃危险性分级预警阈值曲线；结合上述 预警指标，依据煤自燃阶段精细化理论等关于煤自燃监测、标志气体、临界值、发火 预兆及火灾管理的规定，新构建了预警初值、蓝色、黄色、橙色、红色和黑色六级预 警体系及指标阈值。

       The main mines of Juye Coalfield belong to deep mining mines. The main mining 3# coal seam has the characteristics of large buried depth (900 ~ 1000 m), high temperature of surrounding rock, high initial temperature of coal spontaneous combustion (35 ~ 40 ℃), and short natural ignition period, etc. At the same time, the high ground pressure is easy to break the coal pillar of the working face, which leads to the complicated air leakage law in the goaf, which significantly increases the risk of coal spontaneous combustion. Therefore, this paper takes the 3# coal seam coal samples mainly mined from three mines in the Juye coalfield (Tangkou, Xinjulong and Zhaolou coal) as the research object, using Fourier transform infrared spectrometer, synchronous thermal analyzer and coal spontaneous combustion program. The heating test device systematically studied the micro-characteristics, oxidation kinetics characteristics and the generation law of coal spontaneous combustion index gas in the oxidative combustion process of the main mining 3# coal seam in Juye Coalfield, and finally constructed a coal spontaneous combustion early warning index system of Juye Coalfield 3# coal seam. The research results can provide decision-making for the prediction and prediction of the spontaneous combustion risk in the mining process of the 3# coal seam in the Juye coalfield, and have important guiding significance for the early monitoring, early warning and prevention and control of the spontaneous combustion risk in the deep mining high geothermal coal seam. Through industrial analysis, infrared spectroscopy and other methods, the parameters of coal quality index and main functional group proportion of different coal samples were obtained. Between 1.176 and 1.642, the oxidation reaction of coal is strong and the risk of spontaneous combustion is high; the pores of coal are mainly small pores, and the pore volume and comprehensive fractal dimension from small to large are Zhaolou coal < Tangkou coal < : Deng Jun Wang Caiping Zhu Xingpan Xinjulong coal, the contact ability of each coal sample with oxygen from small to large is Zhaolou coal < Tangkou coal < Xinjulong coal; the overall proportion of aliphatic hydrocarbons, oxygen-containing functional groups and aromatic hydrocarbons in coal It is also a key parameter that affects the spontaneous combustion characteristics of coal. The difference of the above parameters is the internal factor that causes the activation energy and oxidation gaseous products to show staged characteristics, which has an important impact on evaluating the spontaneous combustion tendency of coal and building an early warning index system. In addition, according to the Bagchi method to infer the reaction models of coal samples in different oxidation stages, it is found that Tangkou, Xinjulong and Zhaolou coals have different reaction models in the water loss and weight loss stage and the oxygen absorption and weight gain stage respectively, but the oxidative combustion stage has different reaction models. The reaction models are the same, all follow the No. 7 reaction mechanism function, and the reaction mechanism of each coal sample in the later stage of oxidation is basically the same. Finally, a temperature-programmed device was used to test the gaseous products in the low-temperature oxidation process of coal, and the influence of the microstructural characteristics of the coal on the generation of gaseous products was analyzed. The initial oxidation stage (R2, G2), accelerated oxidation stage (G1, G2), severe oxidation stage (G2, R1) and oxidation of the 3# coal seam in Juye Coalfield were optimized by principal component analysis and grey correlation degree. The composite indicator gas in the decomposition stage (R1); according to the carbon-oxygen ratio and the characteristics of the indicator gas, the classification standard of coal spontaneous combustion four-level early warning grade is determined, and the coal spontaneous combustion risk classification early warning threshold curve is constructed based on the Logistic function; The refinement theory of spontaneous combustion stage and other regulations on coal spontaneous combustion monitoring, marker gas, critical value, ignition warning and fire management have newly constructed a six-level early warning system and indicator thresholds for early warning initial value, blue, yellow, orange, red and black.

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