Li Yanchang, Jiang Mingyu, Jing Zehao
College of Safety Science and Engineering, Liaoning Technical University, Huludao, Liaoning 125000, China.
Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Liaoning Technical University, Huludao 125000, China.
ACS Omega. 2024 Jul 10;9(29):31765-31775. doi: 10.1021/acsomega.4c02853. eCollection 2024 Jul 23.
A programmed temperature-increase experiment was conducted on coal samples from four coal mines in the Zhalainuoer mining area to improve the accuracy of predicting and forecasting lignite spontaneous combustion. The gases produced during the coal tests were analyzed, and logistic, exponential, Boltzmann, and fourth-degree polynomial functions were selected to develop predictive models for the gas data. Additionally, the Boltzmann function was used to predict the occurrence of fire. The results revealed that the initial appearance temperature of CO was approximately 50 °C, and it exhibited an exponential growth trend with increasing temperature. The initial appearance temperature of CH was approximately 140 °C, which could serve as an indicator of coal entering the accelerated oxidation stage. Applying the selection principle to gas indicators, CO and CH were identified as single gas indicators for lignite spontaneous combustion in the Zhalainuoer mining area, whereas CO/CO and CH/CH were identified as composite gas indicators. Among the four functions, the Boltzmann function model exhibited the best fitting effect for CO and CO/CO within the temperature range of 0-200 °C. The values of the four parameters ( , , d, and ) were determined based on their statistical characteristics, and a functional equation describing the relationship between gas concentration and coal temperature was derived. This indicates that the Boltzmann function model can be effectively used to predict the spontaneous combustion of lignite in the Zhalainuoer mining area.
为提高褐煤自燃预测预报的准确性，对扎赉诺尔矿区4个煤矿的煤样进行了程序升温实验。分析了煤样测试过程中产生的气体，并选用逻辑斯蒂、指数、玻尔兹曼和四次多项式函数对气体数据建立预测模型。此外，利用玻尔兹曼函数预测火灾发生情况。结果表明，CO的初始出现温度约为50℃，且随温度升高呈指数增长趋势。CH的初始出现温度约为140℃，可作为煤进入加速氧化阶段的指标。应用气体指标的筛选原则，确定CO和CH为扎赉诺尔矿区褐煤自燃的单一气体指标，CO/CO和CH/CH为复合气体指标。在0-200℃温度范围内，4种函数中玻尔兹曼函数模型对CO和CO/CO的拟合效果最佳。根据4个参数（ 、 、d和 ）的统计特征确定其值，并推导了描述气体浓度与煤温关系的函数方程。这表明玻尔兹曼函数模型可有效用于预测扎赉诺尔矿区褐煤的自燃。
