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Research on Fuzzy Solution of Cross Method for Analysis of Mine Ventilation Networks

机译:矿井通风网分析交叉法的模糊解研究

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Analysis of mine ventilation networks has traditionally been limited to calculation, using network simulation models, of the exact values of branch airflow and pressure losses from a given set of precise input parameters. In reality the input parameters (e. g. resistance) to the models are particularly difficult to estimate precisely or impossible to be all measured. However, the deterministic network model provides no information about how the output will be affected by the imprecision and uncertainty in the input parameters. In case of modeling vague data in mine ventilation networks by fuzzy sets, the formulas for determining correction factor for air quantity in Cross iteration can be extended on fuzzy resistance, thus a quick and effective approach is obtained to solve network models which contains uncertain parameters still employing classical numerical methods. A numerical example illustrates that fuzzy air quantity can be calculated efficiently in this way. Furthermore, interval of the air quantities of diagonal branches with flexible flowing direction can be recognized directly.
机译:传统上,矿井通风网络的分析仅限于使用网络仿真模型,根据给定的一组精确输入参数来计算分支气流的精确值和压力损失。实际上,模型的输入参数(例如电阻)特别难以精确估计或不可能全部测量。但是,确定性网络模型没有提供有关输入参数的不精确性和不确定性将如何影响输出的信息。在用模糊集对矿井通风网络模糊数据进行建模的情况下,可以在模糊阻力上扩展确定交叉迭代中空气量校正因子的公式,从而获得一种快速有效的方法来求解仍然存在不确定参数的网络模型。采用经典的数值方法。数值示例表明,以此方式可以有效地计算出模糊的空气量。此外,可以直接识别具有灵活流动方向的对角分支的空气量的间隔。

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