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机构地区:[1]大连交通大学环境与化学工程学院,辽宁大连116028 [2]中国矿业大学能源与安全工程学院,江苏徐州221116
出 处:《中国矿业大学学报》2007年第3期371-375,共5页Journal of China University of Mining & Technology
基 金:辽宁省教育厅A类计划项目(202183383)
摘 要:以网络流理论和统计学原理为指导,分析了神华集团大柳塔煤矿通风网络风流变化趋势,找出了风量分布规律,建立了风路中风量分布密度函数;应用极大似然方法,验证了风量分布函数量化参数值的合理性;基于不交化最小路集算法建立了通风网络可靠性评价模型,并给出了具体建模步骤.所有解算过程都是在MATLAB6.X和VC++6.0环境下实现的.结果表明,定量分析所获得的各类指标值反映了大柳塔煤矿通风网络可靠性评价实际.Variation trend and distribution rule of air flow in the ventilation network system in Daliuta coal mine were analyzed and the density functions of air-quantity distribution in the airways were established based on the network flow theory and statistics principle. Rationality about the quantitative parameters of the functions was verified by using the maximum likelihood estimation (MLE). The reliability evaluation models of mine ventilation network were established based on the disjoint minimal path set algorithm, and its modeling process was presented. All the calculation processes were realized by means of MATLAB6. X and VC++6.0. The results show that the quantitative analysis indexes reflect the practical situation of the ventilation network system in Daliuta coal mine.
分 类 号:X913.4[环境科学与工程—安全科学]
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