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On the basis of gas migration equation -Darcy Law,coal seam gas content equation -parabola equation ,ideal gas state equation and the continuity equation s of the gas flow,a dynamic model of gas unilateral flow in the coal seam is set .

根据基本假设,对煤层瓦斯流动规律进行了研究,运用瓦斯运动方程—达西定律、煤层瓦斯含量方程—抛物线方程、理想气体状态方程以及气体流动的连续性方程,建立了煤层单向瓦斯流动的动力学模型,并根据边界条件和初始条件,对动力学模型进行了求解,推导出煤壁单位面积的瓦斯涌出量的计算公式,分析了瓦斯涌出量的影响因素,利用测得的数据,进行了实例计算,并用vc编制了计算机程序。

The paper applies the theory of partial regression square sum into selecting the main prediction indexes which influence the gas emission in the coal mine. Based on these indexes, it constructs a multiple regression model to forecast gas emission.

将偏回归平方和理论运用到影响某矿瓦斯涌出量预测指标的选取中,确定了影响该矿瓦斯涌出量的主要影响因素,根据这些主要影响因素建立了预测瓦斯涌出量的多元回归模型。

Finally, it makes a discussion and draws a conclusion that the multiple regression model which is set up through selecting the complications of influencing gas emission with partial regression square sum parameter is feasible , at the same time, it plays a role in improving the accuracy of fitting prediction ,and it could be better for forecasting and controlling the gas emission in the coal mine.

最后,通过分析,得出结论:采用偏回归平方和参数对该矿瓦斯涌出量影响因素进行优选建立回归模型是可行的,同时有利于提高拟合精度,可以更好地对该矿瓦斯涌出量进行预报与控制。

By FLUENT hydro-simulation soft, the wind flowing in the gob area is simulated and further analysis and validation is made about the mechanism of gas effusing and its prevention by air screen .

并通过FLUENT流体模拟软件,对采空区风流流动进行模拟,进一步对上隅角瓦斯涌出和空气幕防治上隅角瓦斯涌出的机理进行分析和验证。

The third is how the emission amount is foreknown under the neural network and Genetic Algorithms. The data management of Gas and prediction system will be discussed.

论文在简单介绍神经网络和遗传算法的基本原理后,提出了神经网络和遗传算法的瓦斯涌出量预测方法,将神经网络和遗传算法应用于瓦斯涌出量预测问题。

Gas flow from borehole directly relates to the gas emission from drill drainage coal bed and judging the initial velocity of gas emission from the borehole. Therefore the study on the change and trend of gas flow has significant practical value.

钻孔瓦斯流量直接关系着钻孔抽放煤层瓦斯涌出量及钻孔瓦斯涌出初速度的判定,因此研究钻孔瓦斯流量的变化及发展趋势具有较大实用价值。

Gas flow from borehole directly relates to the gas emission from drill drainage coal bed and judging the initial velocity of gas emission from the borehole .

钻孔瓦斯流量直接关系着钻孔抽放煤层瓦斯涌出量及钻孔瓦斯涌出初速度的判定,因此研究钻孔瓦斯流量的变化及发展趋势具有较大实用价值。

In this paper, different coal face 3801 in a mine gas emission time is based on gray theory of gas emission prediction method, a mine gas emission in GM (1, 1) prediction model made its prediction of gas emission, by making the residual test, the results show that the prediction accuracy can be predicted.

本文以某矿3801采煤工作面不同时间段瓦斯涌出量为依据,运用灰色理论提出了瓦斯涌出量的预测方法,建立了矿井瓦斯涌出量的GM(1 ,1)预测模型,并对其进行了瓦斯涌出量的预测,通过进行残差检验,结果表明预测精度高,可以进行预测。

The way and principle of the unit method measuring the ratio of different kind of gas emission and the gas concentration distribution were discussed in fully mechanized coalface. The method is simple and feasible in use.

详细论述了单元法测定工作面各种瓦斯涌出源的涌出比例以及瓦斯浓度分布的原理和方法,该方法简单易行,便於推广。

And it is concluded that the No.4-2coal seam is a mid-reserve and low-permeable seam, with surrounding rocks having low enclosed system and high permeability. And the coal seam's gas content is low, while its quantity in the roof-sandstone which is the main source of coalface's gas emission is high . The quantitative index used to analyze gas content and gas emission amount are pointed out systematically. And gray association analysis method is adopted to search the main factors affecting coal-bed content and gas emission amount.

系统提出了分析影响煤层瓦斯含量与采面瓦斯涌出量大小的量化因素指标,并将灰色关联分析原理引入煤层瓦斯含量与瓦斯涌出量主控因素的研究中,筛选出了煤层顶板含油指数,顶板砂泥岩比、4-2号煤层顶板以上煤系厚度3个因素指标为影响4-2号煤层瓦斯含量的主控地质因素;煤层埋藏深度,煤层瓦斯含量,煤层顶板含油气砂岩厚度,煤层顶板含油强度及工作面回采进度5个因素为影响综采面瓦斯涌出量的主控因素。

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