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小波分析在急倾斜煤层开采沉陷监测数据分析中的应用
引用本文:何怀峰,;李明路,;刘军柱.小波分析在急倾斜煤层开采沉陷监测数据分析中的应用[J].中国地质灾害与防治学报,2014(4):76-80.
作者姓名:何怀峰  ;李明路  ;刘军柱
作者单位:[1]中国地质大学(北京),北京100083; [2]北京岩土工程勘察院,北京100083
摘    要:本文针对急倾斜煤层开采沉陷地面监测工作的实际,针对监测数据分析中噪声太大,较难发现和提取微小沉降变形信息的现状,提出采用小波分析处理变形监测数据的方法,建立了开采沉陷变形模型。以某急倾斜煤层开采沉陷的监测实例,采用matlab小波分析实现了监测数据的处理,对开采沉陷区的发展趋势进行预测,为沉陷区地质灾害的评估和预测及沉陷区土地的规划利用奠定了坚实的基础。

关 键 词:急倾斜煤层  开采沉陷  小波分析  数据分析  matlab

Application of wavelet analysis in steep seem mining subsidence monitoring data analysis
Institution:HE Huai-feng, LI Ming-lu, LIU Jun-zhu (1. China University of Geosciences College of Engineering and Technology, Beijing 100083, China 2. Beijing Geo. &Inv. Engineering Institute, Beijing 100083, China)
Abstract:In this paper, in view of steep seam mining subsidence monitoring work practice, according to the analysis of monitoring data is too noisy, difficult to find and extract the small settlement of deformation information, wavelet analysis method of deformation monitoring data, the model of mining subsidence deformation is established, and a steep seam mining subsidence monitoring example, using matlab wavelet analysis to realize the process of monitoring data, further analysis of the developing trend of mining subsidence basin, laid a solid foundation for the planning and evaluation of geological disaster prediction of subsidence area and the subsidence area and land use.
Keywords:steep seam  mining subsidence  wavelet analysis  data analysis  Matlab
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