| 基于小波的运营地铁隧道自动化变形监测数据处理 |
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| 引用本文： | 周拥军.基于小波的运营地铁隧道自动化变形监测数据处理[J].勘察科学技术,2010(1). |
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| 作者姓名： | 周拥军 |
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| 作者单位： | 上海交通大学船舶海洋与建筑工程学院,上海市,200240 |
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| 摘 要： | 受邻近基坑施工影响的运营地铁隧道的位移变形监测常采用基于测量机器人的自动化监测系统,得到的变形监测数据具有观测周期长、监测精度高、累计位移小的特点,难以从观测数据中辨别真实位移和观测误差。该文采用小波变换方法对监测数据进行去噪声处理,提取变形趋势,从而可以清晰地得到变形规律,为优化基坑施工方案,指导类似工程提供有效的技术支持。
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| 关 键 词： | 小波变换 运营地铁隧道 自动化变形监测 去噪 |
Data Processing for Operating Subway Tunnel with Automatic Deformation Monitoring System based on Wavelet |
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| Zhou Yongjun.Data Processing for Operating Subway Tunnel with Automatic Deformation Monitoring System based on Wavelet[J].Site Investigation Science and Technology,2010(1). |
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| Authors: | Zhou Yongjun |
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| Affiliation: | Schoo1 of Naval Architecture;Ocean and Civil Engineering;Shanghai Jiaotong University |
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| Abstract: | Automatic deformation monitoring system(ADMS) of robot is widely used for operating subway tunnel deformation monitoring influenced by the foundation pit excavation nearby,the observed data have the characteristics of long?term observing cycle,high precision and small accumulative displacement,it is hard to discriminate real displacement from observation error.The wavelet transform method is an effective tool for multi?resolution analysis and performs for data de-noising.The de-noising data indicate the def... |
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| Keywords: | wavelet transform operating subway tunnel automatic deformation monitoring system de-noising |
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