阳煤集团是全国瓦斯涌出量最大的矿区之一。
This paper is actually a technical report on mine gas control in Yangquan Coal Group, one of highly gassy coal mines in this country.
计算结果为瓦斯涌出量的准确预测提供了依据。
The result offers some basis for predicting gas emission quantity accurately.
介绍了数字分析在矿井瓦斯涌出量预测中的应用。
This paper describes the application of numerical analysis in gas emission prediction in virgin zone of a mine.
预测煤层瓦斯涌出量是煤矿安全生产的一个重要措施。
A prediction of a gas emission quantity from a seam is an important measure to the mine safety production.
其次，对瓦斯涌出量的预测方法进行了较为全面的探讨。
Secondly, the forecasting methods of gas emission are studied fully.
进行瓦斯涌出量预测是保障安全生产的一个很重要步骤。
Forecasting gas pushing is an important step to ensure production safety.
对了解煤的渗透特性、瓦斯涌出量预测具有一定参考价值。
It is of certain significance for studying coal seepage characteristics and the prediction of gas emission.
最后实例验证了该方法在煤矿瓦斯涌出量中的可行性和实用性。
Finally, an example is given to prove the feasibility and practicality of the method in the coal mine gas gushing amount prediction.
正确预测瓦斯涌出量，对于指导矿井设计和安全生产有重要意义。
Precisely predicting the amount of gas emitted from the coal face is of great importance in the design of mine and production safety.
灰色预测模型为矿井瓦斯涌出量时间动态数列的预测提供了一条新的途径。
The grey prediction model provides a new way for predicting the time dynamic numerical array of mine gas emission rate.
正确预测瓦斯涌出量，对于指导矿井设计和煤矿安全生产有重要的现实意义。
Accurate prediction of gas emission is of great practical significance in guiding mine design and ensuring work safety in coal mines.
本文建立了基于模糊粗糙集的神经网络预测模型，对瓦斯涌出量进行了预测。
A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal is proposed in the paper.
在水动力比较弱的采煤区，瓦斯突出事故就比较多，或者瓦斯涌出量比较大。
In the excavation area with weak or stagnant hydrodynamics, the gas outburst usually happed with large a...
通过建立灰色线性回归组合模型，较好地预测了北辰矿井田深部的瓦斯涌出量。
It can get a better precision of gas gushing in deeper coal according to building grey linearity model in Beichen coal Mine.
采用残差识别方法修正GM(1,1)模型进行瓦斯涌出量预测，预测精度更高。
The GM (1, 1) model modified by the residual error identification method was used to forecast the gas emission, achieving a higher precision.
总结了鲍店煤矿瓦斯涌出规侓，认为该井田瓦斯涌出量东北部偏高，西南部较低。
Thus, gas emission rule of Baodian coal mine is summarized. It is regarded that gas emission amount is high in northeast part, while low in southwest part.
随着放顶煤开采技术在我国的迅速普及，采煤工作面及采空区的瓦斯涌出量不断增加。
As longwall caving technology prevails rapidly in China, gas emission from longwall faces and goaf area increases continuously.
通过对比分析澄清了相对瓦斯涌出量、绝对瓦斯涌出量之间及其与煤层埋藏深度的关系。
Through contrast and analysis, the relations between relative gas gushing quantity and absolute gas gushing quantity, and between them and the depth of the seam are found.
煤层瓦斯含量是矿井瓦斯防治的一个基础参数，它对矿井瓦斯涌出量的大小起着重要作用。
Coal seams gas content is basic parameter of gas prevention in coal mine, it make a great action of gas discharging quantity.
论述了分源预测法原理，并通过实例计算介绍了该方法在新建矿井瓦斯涌出量预测中的应用。
This paper discusses the principles of forecast from different sources, and introduces the application in the new mine gas emission forecast through examples of calculation.
在瓦斯含量较大的煤层采用综掘掘进巷道，由于掘进速度快，出现了瓦斯涌出量过大的现象。
Under gassy coal seam condition, the full-heading development is employed. Because of the fast heading a high rate of gas emission arises.
瓦斯涌出量在一个考察周期内，变化属于非线性问题，瓦斯固有危险源具有非线性动力特征；
The variation of the gas value within an investigation week would be non linear issue and the gas existing dangerous source would have non linear dynamic features.
利用瓦斯地质数学模型法建立了工作面瓦斯涌出量数学模型，预测了未采区工作面瓦斯涌出量。
The math model of the gas emission quantity is established by the method of gas geology math model. The gas emission quantity of the working face of the unmining area is predicted by the model.
研究结果对于利用地应力场抽采瓦斯、通过瓦斯涌出量预测煤岩的变形破坏具有现实指导意义。
The results have a referential value for using geostress field draining gas in coal bed and predicting deformations and failure of coal through gas emission.
检验成果表明用该方法对煤层瓦斯涌出量进行预测是可行的，可为矿井瓦斯灾害预测提供参考依据。
The checked results make clear the gas emission predicting method is feasible and can provide reference frame for gas disaster prediction.
在瓦斯涌出量一定的情况下，随着风速的增加，上隅角的范围呈减小趋势，且其内混合气体密度越小。
The range of upper corner and mix gas density is decreased as the face wind speed increased if gas emission is fixed.
通过对矿井瓦斯涌出量时间序列的模糊分形处理，用BP神经网络对影响因素间的非线性关系进行拟合。
After the time series fuzzy fractal processing of the mine gas emission quantity, the non linear relations of the influence factors were combined with BP neural network.
重点叙述了针对瓦斯来源个数、各源瓦斯涌出量的大小及其涌出变化规律进行治理的分源瓦斯治理方法。
The management methods of separating source gas are narrated in view of gas origin quantity, each source gas gush and change rule of gas gush.
结果表明，灰色马尔柯夫模型预测工作面瓦斯涌出量拟合精度较好，结果正确可靠，有一定的普遍应用性。
It shows that the forecast result of Grey Markov prediction model has better fitting precision and correct dependability. It has certain general employing.
通过误差分析及实际应用，证明将关联分析与BP网络结合起来开展采面瓦斯涌出量预测是一种可行的方法。
The error analysis and practical use show that combining relating analysis method with BP network method to predicting gas gushing quantity of mining faces is a feasible method.
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