In order to provide production safety and determine the optimal ventilation scheme in coal mining, the mines should be classified by their gas emission and mine security rank. In this paper the three models of mine classification, mine insecurity, and the optimal ventilation required by the mine are established and solved by MatLab and Lingo software. In answer to question 1, firstly, the daily absolute gas emission amount and relative gas are evaluated by average values of absolute and relative gas emission rates. It is shown that average values distribution complies with the normal distribution and fluctuation around the stable value. Finally, according to the standard requirements, the mine is classified as a high gas mine. In answer to question 2, the relationship is established between the gas concentration and the lower limit of coal dust explosion concentration, and a specific function relationship between gas concentration and coal dust explosion concentration is obtained by logarithmic fitting. The fuzzy membership function is derived, and the fuzzy statistical evaluation model is established to evaluate the mine safely. The probability safety value calculated by MatLab software is 4.63 %. In answer to question 3, firstly, according to the relationship between gas concentration, coal dust concentration and ventilation speed, the minimum air volume actually required by the coal mining face under the condition of safe production is established. Through MatLab programming calculation, the minimum air volume of coal mining face 1 and face 2 is 385.10 and 531.08 m 3 /min, respectively. According to the diversion of the air volume of each working zone and the specific requirements for ventilation speed in each zone, a ventilation optimization model is established and solved by Lingo software. The calculated air volume of the local ventilator and the optimal (total) air volume required by the mine are 150 and 1491.18 m 3 /min, respectively. Finally, through the solution and analysis of the model, it is shown that the simulation method is reasonable and can produce reliable guidance for management of high-risk coal mining enterprises.

中文翻译：

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煤矿瓦斯煤尘监测与控制模型

为保障煤矿生产安全，确定最佳通风方案，应根据煤矿瓦斯排放量和煤矿安全等级对煤矿进行分类。本文通过MatLab和Lingo软件建立并求解了矿井分类、矿井不安全和矿井所需的最佳通风三个模型。在回答问题1时，首先用绝对和相对气体排放率的平均值来评估日绝对气体排放量和相对气体。结果表明，均值分布符合正态分布，在稳定值附近波动。最后，根据标准要求，该矿被列为高瓦斯矿。在回答问题 2 时，建立瓦斯浓度与煤尘爆炸浓度下限的关系，通过对数拟合得到瓦斯浓度与煤尘爆炸浓度的具体函数关系。推导模糊隶属度函数，建立模糊统计评价模型，对矿山进行安全评价。MatLab软件计算出的概率安全值为4.63%。在回答问题3时，首先根据瓦斯浓度、煤尘浓度与通风速度的关系，确定安全生产条件下采煤工作面实际需要的最小风量。通过MatLab编程计算，采煤工作面1和工作面2的最小风量分别为385.10和531.08 m 3 /min。根据各工作区的风量导流情况及各区对通风速度的具体要求，建立通风优化模型并通过Lingo软件求解。局部通风机的计算风量和矿井所需的最佳（总）风量分别为150和1491.18 m 3 /min。最后，通过对模型的求解和分析，表明该模拟方法是合理的，可以为高风险煤矿企业的管理提供可靠的指导。局部通风机的计算风量和矿井所需的最佳（总）风量分别为150和1491.18 m 3 /min。最后，通过对模型的求解和分析，表明该模拟方法是合理的，可以为高风险煤矿企业的管理提供可靠的指导。局部通风机的计算风量和矿井所需的最佳（总）风量分别为150和1491.18 m 3 /min。最后，通过对模型的求解和分析，表明该模拟方法是合理的，可以为高风险煤矿企业的管理提供可靠的指导。