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基于瓦斯监测的采煤工作面瓦斯分布的研究

发布时间:2018-06-16 19:29

  本文选题:采煤工作面 + 无线传感器网络 ; 参考:《中国矿业大学》2014年硕士论文


【摘要】:因为采煤工作面中瓦斯涌出源很多,并且瓦斯浓度受很多因素的影响,所以采煤工作面的瓦斯浓度分布十分复杂,尤其是上隅角,此处的瓦斯浓度通常是最高的,一旦超过煤矿瓦斯安全浓度的上限,就给煤矿生产带来很大的风险,因此,研究采煤工作面上的瓦斯浓度分布规律有十分重要的意义。 本论文在第二章中分析了在采煤工作面中瓦斯涌出的主要影响因素,研究了几个瓦斯涌出源涌出规律以及其涌出量计算方法。在第三章中,介绍了趋势面分析法以及相应的检验方法,以便得到最佳的趋势面,除此之外还介绍了如何绘制趋势面等值图和异常分量等值图,,通过这两个等值图,我们就可以清楚地知道局部地质因素和区域性地质因素对瓦斯涌出量的影响。这两章为后面分析整个采煤工作面的瓦斯浓度分布规律打下了理论基础。 为了更加准确地获得采煤工作面上各个观测面的瓦斯浓度,本论文采用了无线传感器网络,瓦斯传感器测量节被点分布呈网状拓扑结构,进行采集各个瓦斯观测点的瓦斯数据,测量网络的基站节点和测量节点主要包含了ZigBee无线通信单元、系统控制处理器单元、瓦斯传感器检测单元和电源电压转换与供给单元等四个独立工作单元。 根据各个观测点的观测数据,建立1~5阶趋势面拟合方程模型,然后通过趋势面模型的适度检验,获得最适合的趋势面方程,通过surfer绘制出采煤工作面瓦斯浓度分布的等值线图以及趋势图,通过等值线图和趋势图,从整体角度上分析采煤工作面上瓦斯分布情况,然后在风流条件下,在不同的方向、采煤工作面截面以及上隅角布置了测量节点,分析这几种情况下瓦斯浓度的变化,并通过流体动力学方面的知识做出了原因解剖,最后在不同的风速下,分析了采煤工作面的瓦斯浓度分布情况。
[Abstract]:Because there are many sources of gas emission and gas concentration is affected by many factors, the distribution of gas concentration is very complex, especially in the upper corner, where the gas concentration is usually the highest. Once the upper limit of gas safety concentration is exceeded, it will bring great risk to coal mine production. Therefore, it is of great significance to study the distribution law of gas concentration in coal mining face. In the second chapter of this paper, the main influencing factors of gas emission in coal mining face are analyzed, and the law of several gas emission sources and the calculation method of gas emission quantity are studied. In the third chapter, the trend surface analysis method and the corresponding test method are introduced in order to obtain the best trend surface. In addition, how to draw the trend surface equivalent map and the abnormal component equivalent map is also introduced. We can clearly know the influence of local geological factors and regional geological factors on gas emission. These two chapters lay a theoretical foundation for the analysis of the distribution of gas concentration in the whole coal face. In order to obtain the gas concentration more accurately, the wireless sensor network is used in this paper. The gas sensor nodes are distributed in the network topology structure, and the gas data of each gas observation point are collected. The base station nodes and measurement nodes of the measurement network mainly include four independent working units: ZigBee wireless communication unit, system control processor unit, gas sensor detection unit and power supply and voltage conversion unit. According to the observation data of each observation point, the fitting equation model of 1 ~ 5 order trend surface is established, and the most suitable trend surface equation is obtained through the moderate test of the trend surface model. The contour map and trend map of gas concentration distribution in coal mining face are drawn by surfer, and the distribution of gas in coal face is analyzed from the whole angle through isoline map and trend map, and then in different directions under the condition of air flow. The measurement nodes are arranged in the cross section and the upper corner of the coal mining face. The change of gas concentration in these cases is analyzed, and the causes are dissected by the knowledge of fluid dynamics. Finally, under different wind speeds, The distribution of gas concentration in coal face is analyzed.
【学位授予单位】:中国矿业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TD712

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