灰色关联法在煤自燃标志气体优选中的应用
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摘要
鉴于目前以CO、C_2H_4和C_2H_2为标志性气体已不能满足煤层自然发火的早期预测预报,以神华新疆能源公司碱沟煤矿B_2煤层自然发火标志气体产物测试数据为例,选取100～300℃煤样氧化产物浓度,运用灰色关联法计算分析煤体升温时所产生的气体浓度与燃烧温度的关联度,根据计算结果对关联度进行排序,确定合理的煤层自然发火指标气体。计算结果表明:关联度γ_3>γ_5>γ_4,即φ(C_3H_8)/φ(CH_4)、φ(CO)/φ(CO_2)、φ(C_3H_8)/φ(C_2H_6)与煤燃烧温度关系最为密切,3种标志气体关联度大于0.6,并与φ(C_2H_4)/φ(C_2H_6)进行对比,验证了3种标志气体选取的合理性。因此,φ(C_3H_8)/φ(CH_4)、φ(CO)/φ(CO_2)、φ(C_3H_8)/φ(C_2H_6)可作为碱沟煤矿B_2煤层自然发火早期预测预报标志气体。
In view of the fact that CO, C_2H_4 and C_2H_2 can not satisfy early prediction of spontaneous combustion in coal seam, the paper, based on the B_2 coal seam spontaneous combustion gas product test data in the Jiangou Coal Mine of Shenhua Xinjiang Energy Co., Ltd., selects the oxidation product concentration of coal sample at 100 ℃ to 300 ℃ and uses the grey correlation method to calculate and analyze the coal sample and find correlation between the gas concentration and the combustion temperature, and to order the correlation according the calculated results, and determine reasonable indicator gas for coal seam spontaneous combustion. The calculation results show that the correlation degree of γ_3>γ_5>γ_4, that is, φ(C_3H_8)/φ(CH_4), φ(CO)/φ(CO_2) and φ(C_3H_8)/φ(C_2H_6) are most closely related to the coal combustion temperature. The correlation of three indicator gases is more than 0.6, and compared with φ(C_2H_4)/φ(C_2H_6), the selection of the three indicators is rationality. Therefore, φ(C_3H_8)/φ(CH_4), φ(CO)/φ(CO_2) and φ(C_3H_8)/φ(C_2H_6) can as indicator gases for early prediction of B_2 coal seam spontaneous combustion in the Jiangou Coal Mine.
In view of the fact that CO, C_2H_4 and C_2H_2 can not satisfy early prediction of spontaneous combustion in coal seam, the paper, based on the B_2 coal seam spontaneous combustion gas product test data in the Jiangou Coal Mine of Shenhua Xinjiang Energy Co., Ltd., selects the oxidation product concentration of coal sample at 100 ℃ to 300 ℃ and uses the grey correlation method to calculate and analyze the coal sample and find correlation between the gas concentration and the combustion temperature, and to order the correlation according the calculated results, and determine reasonable indicator gas for coal seam spontaneous combustion. The calculation results show that the correlation degree of γ_3>γ_5>γ_4, that is, φ(C_3H_8)/φ(CH_4), φ(CO)/φ(CO_2) and φ(C_3H_8)/φ(C_2H_6) are most closely related to the coal combustion temperature. The correlation of three indicator gases is more than 0.6, and compared with φ(C_2H_4)/φ(C_2H_6), the selection of the three indicators is rationality. Therefore, φ(C_3H_8)/φ(CH_4), φ(CO)/φ(CO_2) and φ(C_3H_8)/φ(C_2H_6) can as indicator gases for early prediction of B_2 coal seam spontaneous combustion in the Jiangou Coal Mine.
引文
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[7]贾宝山,王汉元,金珂,等.主成分分析法在煤自燃标志性气体优选中应用[J].应用泛函分析学报,2017,19(4):452-456.
[8]梁运涛,侯贤军,罗海珠,等.我国煤矿火灾防治现状及发展对策[J].煤炭科学技术,2016,44(6):1-6.
[9]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002.
[10]邓聚龙.灰预测与灰决策[M].武汉:华中科技大学出版社,2002.
[11]周秀文.灰色关联度的研究与应用[D].长春:吉林大学,2007.
[12]李炳军,朱阳春,周杰.原始数据无量纲化处理对灰色关联序的影响[J].河南农业大学学报,2002,36(2):199-202.
[2]徐精彩.基于煤氧复合过程分析的自然发火期预测技术研究[J].火灾科学,2000,9(3):21-25.
[3]梁运涛,孙勇,罗海珠,等.基于小样本的煤层自然发火烷烃气体的光谱分析[J].煤炭学报,2015,40(2):371-376.
[4]罗海珠,梁运涛.煤自燃发火预测预报技术的现状与展望[J].中国安全科学学报,2003,13(3):76-78.
[5]罗海珠,钱国胤.各煤种自然发火标志气体指标研究[J].煤矿安全,2003,34(9):86-89.
[6]秦红星,戴广龙,张树川,等.基于煤低温氧化试验下的标志气体优选及应用[J].煤炭科学技术,2015,43(6):65-70.
[7]贾宝山,王汉元,金珂,等.主成分分析法在煤自燃标志性气体优选中应用[J].应用泛函分析学报,2017,19(4):452-456.
[8]梁运涛,侯贤军,罗海珠,等.我国煤矿火灾防治现状及发展对策[J].煤炭科学技术,2016,44(6):1-6.
[9]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002.
[10]邓聚龙.灰预测与灰决策[M].武汉:华中科技大学出版社,2002.
[11]周秀文.灰色关联度的研究与应用[D].长春:吉林大学,2007.
[12]李炳军,朱阳春,周杰.原始数据无量纲化处理对灰色关联序的影响[J].河南农业大学学报,2002,36(2):199-202.