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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
漏风条件下采空区煤自燃分级预警方法研究及应用
  • Title

    Research and application of classification warning method for coal spontaneous combustion in goaf under air leakage

  • 作者

    翟小伟李心田侯钦元马腾宋波波郝乐

  • Author

    ZHAI Xiaowei;LI Xintian;HOU Qinyuan;MA Teng;SONG Bobo;HAO Le

  • 单位

    西安科技大学 安全科学与工程学院陕西省煤火灾害防控重点实验室陕西省高校青年创新团队矿山应急救援创新团队

  • Organization
    College of Safety Science and Engineering, Xi’an University of Science and Technology
    Shaanxi Key Laboratory of Prevention and Control of Coal Fire
    Mine Emergency Rescue Innovation Team, The Youth Innovation Team of Shaanxi Universities
  • 摘要

    CO是煤自燃预警体系的重要指标气体。为提高漏风条件下利用CO预测采空区煤自燃危险程度的准确性,采用程序升温试验分析煤氧化过程中不同指标气体与煤温的对应关系,通过束管监测与示踪气体漏风测试确定漏风对采空区CO气体的影响,修正不同氧气体积分数范围内CO体积分数与煤温的函数关系。利用修正函数方程计算煤自燃CO预警阈值,结合不同指标气体预警值,构建漏风条件下采空区煤自燃分级预警体系。研究结果表明:煤氧化过程中CO、C2H4、C2H2与Graham系数指标气体突变与煤温存在对应关系,CO、C2H4、C2H2出现温度分别为30、120、230 ℃,Graham系数拐点温度为70、160 ℃,不同氧气体积分数范围内CO体积分数与煤温均呈指数函数关系。漏风对采空区CO气体影响范围为0~90 m,影响体积分数大小为(3~39)×10−6。漏风条件下采空区埋深0~19 m处氧气体积分数为21%~17%,“CO体积分数−煤温”函数的修正系数为1~3;埋深19~55 m处氧气体积分数为17%~13%,修正系数为4~7;埋深55~90 m处氧气体积分数为13%~9%,修正系数为16~21。基于修正后CO体积分数与温度函数,计算得到煤自燃过程不同氧气体积分数范围内CO预警阈值分别为(50~150)×10−6、(190~330)×10−6及(330~430)×10−6。结合CO、C2H4、C2H2与Graham系数指标气体预警值将煤自燃程度划分为“灰、蓝、黄、橙、红”五级预警。研究结果可为相似工作面采空区遗煤自燃预测预报提供参考。

  • Abstract

    CO is an important indicator gas in the early warning system of coal spontaneous combustion. To improve the accuracy of using CO to predict the risk degree of coal spontaneous combustion in goaf under air leakage conditions, programmed temperature rise experiments is used to analyze the corresponding relationship between different indicator gases and coal temperature during coal oxidation process. Through bundle tube monitoring and tracer gas leakage testing, the impact of leakage on CO gas in goaf is determined, and the functional relationship between CO volume fraction and coal temperature in different oxygen volume fraction ranges is corrected. Using the modified function equation to calculate the CO early warning threshold of coal spontaneous combustion, combined with the early warning value of different index gases, the classification early warning system of coal spontaneous combustion in goaf under the condition of air leakage is constructed. The research results indicate that there is a characterization relationship between the sudden changes in index gas of CO, C2H4, C2H2 and Graham coefficient during coal oxidation process and coal temperature. The initial temperatures of CO, C2H4, and C2H2are 30 ℃, 120 ℃, and 230 ℃, respectively. The turning point temperatures of the Graham coefficient are 70 ℃ and 160 ℃, respectively. The relationship between CO volume fraction and coal temperature in different oxygen volume fraction ranges is exponential function. The influence range of air leakage on CO gas in goaf is 0−90 m, and the influence volume fraction is (3−39)×10−6. Under the condition of air leakage, the oxygen volume fraction range at a depth of 0−19 m in the goaf is 21%−17%, and the correction coefficient of the CO volume fraction coal temperature function is 1−3. The oxygen volume fraction range at a burial depth of 19−55 m is 17%−13%, with a correction factor of 4−7. The oxygen volume fraction range at a burial depth of 55−90 m is 13%−9%, with a correction factor of 16−21. Based on the modified CO volume fraction and temperature function, the CO warning thresholds for coal spontaneous combustion process in different oxygen volume fraction ranges are calculated to be (50−150)×10−6, (190−330)×10−6, and (330−430)×10−6, respectively. Combined with the early warning value of CO, C2H4, C2H2 and Graham coefficient index, the coal spontaneous combustion is divided into five warning levels of gray, blue, yellow, orange and red. The research results can provide reference for the prediction and prediction of spontaneous combustion of residual coal in goaf of similar working face.

  • 关键词

    煤自燃CO漏风采空区分级预警

  • KeyWords

    coal spontaneous combustion;CO;air leakage;goaf;graded warning

  • 基金项目(Foundation)
    国家自然科学基金资助项目(52274229);陕西省自然科学基础研究计划−杰出青年科学基金资助项目(2021JC-48);陕西省教育厅青年创新团队建设科研计划资助项目(21JP078)
  • DOI
  • 引用格式
    翟小伟,李心田,侯钦元,等. 漏风条件下采空区煤自燃分级预警方法研究及应用[J]. 煤炭科学技术,2025,53(1):161−162.
  • Citation
    ZHAI Xiaowei,LI Xintian,HOU Qinyuan,et al. Research and application of classification warning method for coal spontaneous combustion in goaf under air leakage[J]. Coal Science and Technology,2025,53(1):161−162.
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