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作 者:QIN Yue-ping LIU Hong-bo WANG Ke LIU Jiang-yue
出 处:《Journal of Coal Science & Engineering(China)》2011年第3期294-297,共4页煤炭学报(英文版)
基 金:Supported by the National Natural Science Foundation of China (50674091); Fundamental Research Funds for the Central Universities (2010YZ01 ) The authors gratefully acknowledge the contributions of The National Natural Science Foundation and Fundamental Research Funds for the Central Universities for funding this study.
摘 要:With ever-increasing depth of coal mine and the continuous improvement of mechanization, heat damage has become one of the major disasters in coal mine exploitation. Established the temperature prediction models suitable for different kinds of tunnels through analysis of the heat of shafts, roadways and working faces. The average annual air temperature prediction equation from the inlets of shafts to the working faces was derived. The formula was deduced using combine method of iteration and direct calculation. The method can improve the precision of air temperature prediction, so we could establish the whole pathway air temperature prediction model with high precision. Emphasizing on the effects of leakage air to air temperature of working face and using the ideology of the finite difference method and considering the differential equation of inlet and outlet at different stages, this method can significantly improve the accuracy of temperature prediction. Program development uses Visual Basic 6.0 Language, and the Origin software was used to fit the relevant data. The predicted results shows that the air temperature generally tends to rapidly increase in the air inlet, then changes slowly on working face, and finally increases sharply in air outlet in the condition of goaf air leakage. The condition is in general consistent with the air temperature change tendency of working face with U-type ventilation system. The software can provide reliable scientific basis for reasonable ventilation, cooling measures and management of coal mine thermal hazards.
关 键 词:finite difference method coal face air temperature prediction prediction methods
分 类 号:TD327.2[矿业工程—矿井建设] P457.3[天文地球—大气科学及气象学]
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