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小波分析在回采巷道前支承压力分析中的应用研究

Applicational study on front abutment in roadways by wavelet transform
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摘要 回采巷道前支承压力分布规律的研究对于矿山安全生产十分重要。从其复杂的内在机理出发进行研究很难取得较好的效果。现场监测获得的数据,是各种影响因素的综合、直观、量化的体现。避开机理研究,从监测数据出发研究前支承压力的分布规律具有可行性。针对监测数据的离散性,依据小波分析降噪原理,采用不同的小波函数、阈值原始信号降噪,分析借助MATLAB软件平台进行。分析结果表明,回采巷道前支承压力分布满足先升后降规律,上升阶段服从指数关系,下降阶段服从对数关系。并得到了支承压力指数函数表达、对数函数表达,并求得了其最远影响范围。所做工作可为同一采区其他巷道开挖支护提供经验参数。 The distribution regularity of the front abutment in the roadway surrounding rock is very important for mining safety.But it's impossible to get ideal effects to study from the complicated inherent mechanism.Usually,the monitoring data on-site is the integrated,intuitional and quantified show of the total inherent mechanism.So it may be a feasible and effective approach to study in the way of monitoring data other than in the way of inherent mechanism. In this paper,the signal was denoised by wavelet transform and original threshold signal,which was realized by Matlab 7.0 software platform.The result shows that the front abutment increases first and then falls,and the increases obey the exponential relationship and falls obey the logarithmic relationship.By further analysis,we obtained the function expression of exponential relationship and the logarithmic relationship of the front abutment.We obtained the maximum influence distance,as well.The work can provide empirical parameters for excavation and support of other roadways in the district.
作者 李磊
出处 《黄金》 CAS 北大核心 2010年第4期31-34,共4页 Gold
基金 国家"十一五"科技支撑计划项目(2006BAK04B02)
关键词 回采巷道 前支承压力 信号失真 小波降噪 gateway front abutment signal distortion denoising by wavelet transform
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