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):161−169. DOI: 10.12438/cst.2024-0196 |
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.
[1] |
王德明,张伟,王和堂,等. 煤矿热动力重大灾害的不确定性风险特性研究[J]. 采矿与安全工程学报,2023,40(4):826−837.
WANG Deming,ZHANG Wei,WANG Hetang,et al. Uncertain risk characteristics of major thermodynamic disasters in underground coal mines[J]. Journal of Mining & Safety Engineering,2023,40(4):826−837.
|
[2] |
秦波涛,仲晓星,王德明,等. 煤自燃过程特性及防治技术研究进展[J]. 煤炭科学技术,2021,49(1):66−99.
QIN Botao,ZHONG Xiaoxing,WANG Deming,et al. Research progress of coal spontaneous combustion process characteristics and prevention technology[J]. Coal Science and Technology,2021,49(1):66−99.
|
[3] |
ONIFADE M,GENC B. A review of research on spontaneous combustion of coal[J]. International Journal of Mining Science and Technology,2020,30(3):303−311. doi: 10.1016/j.ijmst.2020.03.001
|
[4] |
KONG B,LI Z H,YANG Y L,et al. A review on the mechanism,risk evaluation,and prevention of coal spontaneous combustion in China[J]. Environmental Science and Pollution Research International,2017,24(30):23453−23470. doi: 10.1007/s11356-017-0209-6
|
[5] |
林柏泉,李庆钊,周延. 煤矿采空区瓦斯与煤自燃复合热动力灾害多场演化研究进展[J]. 煤炭学报,2021,46(6):1715−1726.
LIN Baiquan,LI Qingzhao,ZHOU Yan. Research advancesabout multi-field evolution of coupledthermodynamic disasters in coal mine goaf[J]. Journal of China Coal Society,2021,46(6):1715−1726.
|
[6] |
REN L F,TAO F,WENG T F,et al. Thermodynamic characteristics and kinetic mechanism of bituminous coal in low-oxygen environments[J]. Natural Resources Research,2024,33(5):2299−2313. doi: 10.1007/s11053-024-10352-2
|
[7] |
翟小伟,郝乐,王凯,等. 浅埋火区无人机热红外监测温度补偿方法[J]. 煤炭学报,2024,49(8):3498−3509.
ZHAI Xiaowei,HAO Le,WANG Kai,et al. Temperature compensation method of UAV thermal infrared monitoring in shallow buried fire area[J]. Journal of China Coal Society,2024,49(8):3498−3509.
|
[8] |
高峰,王文才,李建伟,等. 浅埋煤层群开采复合采空区煤自燃预测[J]. 煤炭学报,2020,45(S1):336−345.
GAO Feng,WANG Wencai,LI Jianwei,et al. Prediction of coal spontaneous combustion in compound gob of shallow seam group mining[J]. Journal of China Coal Society,2020,45(S1):336−345.
|
[9] |
王少锋,李夕兵,王德明. 采动影响型地下煤火诱发地表裂隙率的时空分布模型[J]. 工程科学学报,2015,37(6):677−684.
WANG Shaofeng,LI Xibing,WANG Deming. Space-time distribution model of ground fracture ratio caused by mining-induced underground coal fire[J]. Chinese Journal of Engineering,2015,37(6):677−684.
|
[10] |
HU X M,SU M H,DONG H,et al. Study on coal spontaneous combustion dangerous zone under different air leakage in the shallow buried coal seam fissure[J]. Combustion Science and Technology,2024,196(17):4811−4835. doi: 10.1080/00102202.2023.2233052
|
[11] |
褚廷湘,余明高,杨胜强,等. 煤岩裂隙发育诱导采空区漏风及自燃防治研究[J]. 采矿与安全工程学报,2010,27(1):87−93.
CHU Tingxiang,YU Minggao,YANG Shengqiang,et al. Air leaking induced by well developed coal fractures and prevention of spontaneous combustion in goaf[J]. Journal of Mining & Safety Engineering,2010,27(1):87−93.
|
[12] |
李健威. 正压通风对浅埋煤层漏风影响及漏风综合治理技术研究[J]. 煤炭科学技术,2023,51(10):155−162. doi: 10.12438/cst.2023-0827
LI Jianwei. Study on the influence of positive pressure ventilation on air leakage in shallow coal seam and comprehensive treatment technology of air leakage[J]. Coal Science and Technology,2023,51(10):155−162. doi: 10.12438/cst.2023-0827
|
[13] |
鲁义,陈健,邵淑珍,等. 再生顶板煤自燃漏风裂隙控制机理[J]. 煤炭学报,2023,48(2):795−805.
LU Yi,CHEN Jian,SHAO Shuzhen,et al. Control mechanism of air leakage cracksatregenerated roof with coal spontaneous combustion[J]. Journal of China Coal Society,2023,48(2):795−805.
|
[14] |
ZHAI X W,XU Y,YU Z J. Numerical analysis on the evolution of CO concentration in return corner:A case study of steady U-type ventilation working face[J]. Numerical Heat Transfer,Part A:Applications,2018,74(11):1732−1746. doi: 10.1080/10407782.2018.1538294
|
[15] |
邓军,李贝,李珍宝,等. 预报煤自燃的气体指标优选试验研究[J]. 煤炭科学技术,2014,42(1):55−59,79.
DENG Jun,LI Bei,LI Zhenbao,et al. Experiment study on gas indexes optimization for coal spontaneous combustion prediction[J]. Coal Science and Technology,2014,42(1):55−59,79.
|
[16] |
YAN H W,NIE B S,LIU P J,et al. Experimental assessment of multi-parameter index gas correlation and prediction system for coal spontaneous combustion[J]. Combustion and Flame,2023,247:112485. doi: 10.1016/j.combustflame.2022.112485
|
[17] |
翟小伟,马灵军,邓军. 工作面上隅角CO浓度预测模型的研究与应用[J]. 煤炭科学技术,2011,39(11):59−62.
ZHAI Xiaowei,MA Lingjun,DENG Jun. Study and application of CO content prediction model to upper corner of coal mining face[J]. Coal Science and Technology,2011,39(11):59−62.
|
[18] |
ZENG J,FANG L F,LI Q S,et al. Assessment of coal spontaneous combustion prediction index gases for coal with different moisture contents[J]. Energy Sources,Part A:Recovery,Utilization,and Environmental Effects,2021:1-13.
|
[19] |
LIANG Y T,ZHANG J,WANG L C,et al. Forecasting spontaneous combustion of coal in underground coal mines by index gases:a review[J]. Journal of Loss Prevention in the Process Industries,2019,57:208−222. doi: 10.1016/j.jlp.2018.12.003
|
[20] |
仲晓星,王建涛,周昆. 矿井煤自燃监测预警技术研究现状及智能化发展趋势[J]. 工矿自动化,2021,47(9):7−17.
ZHONG Xiaoxing,WANG Jiantao,ZHOU Kun. Monitoring and early warning technology of coal spontaneous combustion in coal mines:research status and intelligent development trends[J]. Industry and Mine Automation,2021,47(9):7−17.
|
[21] |
周福宝,邵和,李金海,等. 低O2含量条件下煤自燃产物生成规律的实验研究[J]. 中国矿业大学学报,2010,39(6):808−812.
ZHOU Fubao,SHAO He,LI Jinhai,et al. Experimental research on combustion product formation during coal spontaneous combustion under reduced oxygen concentrations[J]. Journal of China University of Mining & Technology,2010,39(6):808−812.
|
[22] |
ZHU X P,WEN H. Numerical simulation study on the influence of air leakage on oxygen concentration in goafs of fully mechanized caving mining with shallow buried and large mining height[J]. Frontiers in Earth Science,2023,11:1138925. doi: 10.3389/feart.2023.1138925
|
[23] |
王刚,杨宝东,徐浩,等. 煤自燃程序升温实验及其在实验教学中的应用[J]. 实验技术与管理,2024,41(3):225−231.
WANG Gang,YANG Baodong,XU Hao,et al. Experiment on the programmed temperature rise in a spontaneous combustion of coal and its application in experimental teaching[J]. Experimental Technology and Management,2024,41(3):225−231.
|
[24] |
CHENG J W,MA Y Z,LU W D,et al. Using inverting CO critical value to predict coal spontaneous combustion severity in mine gobs with considering air leakages: A case study[J]. Process Safety and Environmental Protection,2022,167:45−55. doi: 10.1016/j.psep.2022.08.023
|
[25] |
ZHUO H,QIN B T,QIN Q H. The impact of surface air leakage on coal spontaneous combustion hazardous zone in gob of shallow coal seams:A case study of bulianta mine,China[J]. Fuel,2021,295:120636. doi: 10.1016/j.fuel.2021.120636
|
[26] |
刘垚,王福生,董轩萌,等. 基于程序升温试验的煤自燃特性及微观机理研究[J]. 煤炭科学技术,2024,52(S1):94−106.
LIU Yao,WANG Fusheng,DONG Xuanmeng,et al. Study on the characteristics and microscopic mechanism of coal spontaneous combustion based on programmed heating experiment[J]. Coal Science and Technology,2024,52(S1):94−106.
|
[27] |
SU H T,ZHOU F B,LI J S,et al. Effects of oxygen supply on low-temperature oxidation of coal:a case study of Jurassic coal in Yima,China[J]. Fuel,2017,202:446−454. doi: 10.1016/j.fuel.2017.04.055
|
[28] |
WOJTACHA-RYCHTER K,SMOLIŃSKI A. Selective adsorption of ethane,ethylene,propane,and propylene in flammable gas mixtures on different coal samples and implications for fire hazard assessments[J]. International Journal of Coal Geology,2019,202:38−45. doi: 10.1016/j.coal.2018.12.003
|
[29] |
邓军,白祖锦,肖旸,等. 煤自燃指标体系试验研究[J]. 安全与环境学报,2018,18(5):1756−1761.
DENG Jun,BAI Zujin,XIAO Yang,et al. Experimental investigation and examination for the indexical system of the coal spontaneous combustion[J]. Journal of Safety and Environment,2018,18(5):1756−1761.
|
[30] |
刘伟,秦跃平,乔珽,等. 煤耗氧速率与CO生成速率的计算及实验论证[J]. 中国矿业大学学报,2016,45(6):1141−1147.
LIU Wei,QIN Yueping,QIAO Ting,et al. Experimental demonstration on calculation of oxygen consumption rate and CO generation rate in coal spontaneous combustion[J]. Journal of China University of Mining & Technology,2016,45(6):1141−1147.
|
[31] |
PAN R K,LI C,YU M G,et al. Evolution patterns of coal micro-structure in environments with different temperatures and oxygen conditions[J]. Fuel,2020,261:116425. doi: 10.1016/j.fuel.2019.116425
|
[32] |
杨胜强,徐全,黄金,等. 采空区自燃“三带”微循环理论及漏风流场数值模拟[J]. 中国矿业大学学报,2009,38(6):769−773,788.
YANG Shengqiang,XU Quan,HUANG Jin,et al. The “three zones” microcirculation theory of goaf spontaneous combustion and a numerical simulation of the air leakage flow field[J]. Journal of China University of Mining & Technology,2009,38(6):769−773,788.
|