煤最短自然发火期快速预测方法
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摘要
针对现有煤最短自然发火期预测方法存在操作复杂、耗时费力等问题,提出了一种煤最短自然发火期快速预测方法。通过煤自燃特性的氧化动力学测试获得煤氧化过程中不同阶段的特征参数,利用线性拟合建立了煤自燃倾向性判定指数和绝热氧化时间的函数关系;根据F-K热自燃理论,建立了煤绝热氧化时间和特征尺寸之间的函数关系;利用以上函数关系推导出煤最短自然发火期快速预测模型。基于该方法获得的煤最短自然发火期预测值与实际值基本一致。该方法耗时少、操作简单,适合大量煤样的最短自然发火期预测。
In view of problems of complicated operation,large time consumption and high labor intensity of existing prediction methods for the shortest coal spontaneous combustion period,a fast prediction method for the shortest coal spontaneous combustion period was proposed.Characteristic parameters of different stages in coal oxidation process are obtained through oxidation kinetics test for coal spontaneous combustion characteristics.Function relationship between classification index of coal spontaneous combustion tendency and adiabatic oxidation time is established by linear fitting.According to theory of F-K thermal spontaneous combustion,function relationship between the adiabatic oxidation time and characteristic size of coal is established.A fast prediction model for the shortest coal spontaneous combustion period is derived based on the above function relationships.The predicted value of the shortest coal spontaneous combustion period obtained by the method is basically consistent with the actual value.The method is suitable for the shortest spontaneous combustion period prediction of a large number of coal samples with less time consumption and simple operation.
In view of problems of complicated operation,large time consumption and high labor intensity of existing prediction methods for the shortest coal spontaneous combustion period,a fast prediction method for the shortest coal spontaneous combustion period was proposed.Characteristic parameters of different stages in coal oxidation process are obtained through oxidation kinetics test for coal spontaneous combustion characteristics.Function relationship between classification index of coal spontaneous combustion tendency and adiabatic oxidation time is established by linear fitting.According to theory of F-K thermal spontaneous combustion,function relationship between the adiabatic oxidation time and characteristic size of coal is established.A fast prediction model for the shortest coal spontaneous combustion period is derived based on the above function relationships.The predicted value of the shortest coal spontaneous combustion period obtained by the method is basically consistent with the actual value.The method is suitable for the shortest spontaneous combustion period prediction of a large number of coal samples with less time consumption and simple operation.
引文
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[14]王德明,亓冠圣,戚绪尧,等.煤实验最短自然发火期的快速测试[J].煤炭学报,2014,39(11):2239-2243.WANG Deming,QI Guansheng,QI Xuyao,et al.Quick test method for the experimental period minimum of coal to spontaneous combustion[J].Journal of China Coal Society,2014,39(11):2239-2243.
[15]邓军,徐精彩,张迎弟,等.煤最短自然发火期实验及数值分析[J].煤炭学报,1999,24(3):274-278.DENG Jun,XU Jingcai,ZHANG Yingdi,et al.Experimental and numerical analysis on the shortest spontaneous combustion period of coal[J].Journal of China Coal Society,1999,24(3):274-278.
[2]赵一伟.浅析煤矿井下灾害及其防治[J].能源与节能,2018(7):53-54.ZHAO Yiwei.Brief analysis of underground disasters and their prevention and control in coal mines[J].Energy and Energy Conservation,2018(7):53-54.
[3]朱云飞,王德明,戚绪尧,等.1950—2016年我国煤矿特大事故统计分析[J].煤矿安全,2018,49(10):241-244.ZHU Yunfei,WANG Deming,QI Xuyao,et al.Statistics analysis of extra serious coal mine accidents from 1950to 2016in China[J].Safety in Coal Mines,2018,49(10):241-244.
[4]REN Wanxing,GUO Qing,YANG Huihui.Analyses and prevention of coal spontaneous combustion risk in gobs of coal mine during withdrawal period[J].Geomatics,Natural Hazards and Risk,2019,10(1):353-367.
[5]孙祺钰.特殊条件下综采放顶煤工作面防灭火技术[J].煤矿安全,2019,50(1):71-74.SUN Qiyu.Fire prevention technology of fullymechanized caving coal face under special conditions[J].Safety in Coal Mines,2019,50(1):71-74.
[6]于庆.分布式光纤测温技术在煤矿中的应用[J].工矿自动化,2012,38(4):5-8.YU Qing.Application of distributed fiber temperature measurement technology in coal mine[J].Industry and Mine Automation,2012,38(4):5-8.
[7]张小翌,王德明,杨雪花.煤矿硐室电缆火灾数值模拟[J].工矿自动化,2019,45(3):52-55.ZHANG Xiaoyi,WANG Deming,YANG Xuehua.Numerical simulation of cable fire in coal mine chamber[J].Industry and Mine Automation,2019,45(3):52-55.
[8]LEI Changkui,DENG Jun,CAO Kai,et al.A random forest approach for predicting coal spontaneous combustion[J].Fuel,2018,223:63-73.
[9]张辛亥,席光.用于煤自然发火期预测的神经网络模型和实验技术[J].西安交通大学学报,2006,40(9):1058-1061.ZHANG Xinhai,XI Guang.New experimental technique for determining coal self-ignition duration[J].Journal of Xi'an Jiaotong University,2006,40(9):1058-1061.
[10]王华.煤自然发火期的主成分神经网络预测模型[J].计算机工程与应用,2011,47(26):242-245.WANG Hua.Principal component neural network prediction model for coal self-ignition duration[J].Computer Engineering and Applications,2011,47(26):242-245.
[11]邓军,陈晓坤,翟小伟,等.煤最短自然发火期灰色预测模型研究[J].西安科技大学学报,2004,24(4):406-408.DENG Jun,CHEN Xiaokun,ZHAI Xiaowei,et al.Gray prediction model of spontaneous combustion stage of coal[J].Journal of Xi'an University of Science and Technology,2004,24(4):406-408.
[12]马砺,雷昌奎,张志鹏,等.基于GM(0,N)模型的煤自然发火期预测[J].辽宁工程技术大学学报(自然科学版),2016,35(9):902-907.MA Li,LEI Changkui,ZHANG Zhipeng,et al.Forecasting study on spontaneous combustion period of coal based on GM(0,N)model[J].Journal of Liaoning Technical University(Natural Science),2016,35(9):902-907.
[13]李雨佳,李增华,刘震,等.孙疃煤矿10煤最短自然发火期研究[J].煤炭技术,2012,31(12):65-67.LI Yujia,LI Zenghua,LIU Zhen,et al.Study on shortest spontaneous combustion time of 10th coal seam in Suntuan Coal Mine[J].Coal Technology,2012,31(12):65-67.
[14]王德明,亓冠圣,戚绪尧,等.煤实验最短自然发火期的快速测试[J].煤炭学报,2014,39(11):2239-2243.WANG Deming,QI Guansheng,QI Xuyao,et al.Quick test method for the experimental period minimum of coal to spontaneous combustion[J].Journal of China Coal Society,2014,39(11):2239-2243.
[15]邓军,徐精彩,张迎弟,等.煤最短自然发火期实验及数值分析[J].煤炭学报,1999,24(3):274-278.DENG Jun,XU Jingcai,ZHANG Yingdi,et al.Experimental and numerical analysis on the shortest spontaneous combustion period of coal[J].Journal of China Coal Society,1999,24(3):274-278.