gps数据的处理方法在结构变形监测的应用_外文翻译.doc
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gps数据的处理方法在结构变形监测的应用_外文翻译,gps数据的处理方法在结构变形监测的应用_外文翻译摘要全球定位系统(gps)现在正积极应用静态和动态位移法在有风的情况下对大型土木工程结构进行监测。然而,多路径效应和低采样频率的精度影响gps位移测量。另一方面,加速度计静态和低频不能有效的措施结构反应,但可以精确测量高频结构的反应。因此,本文仅探讨gps与测量结合的可...
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GPS数据的处理方法在结构变形监测的应用_外文翻译
摘要
全球定位系统(GPS)现在正积极应用静态和动态位移法在有风的情况下对大型土木工程结构进行监测。然而,多路径效应和低采样频率的精度影响GPS位移测量。另一方面,加速度计静态和低频不能有效的措施结构反应,但可以精确测量高频结构的反应。因此,本文仅探讨GPS与测量结合的可能性，信号提高对测量准确度的(静态加上动态)一个结构的位移响应。集成数据处理技巧,利用两个经验模式分解(EMD)和自适应滤波的方法。一系列的运动模拟台试验，然后根据站点使用三个GPS接收器,一个加速度、“桌子”和一个运动仿真可以模拟各种类型的运动定义为输入，在波时间历程一个预先定义的静态的位置。该数据处理技术应用：记录的GPS和加速度计数据，发现两者都有静态和动态位移。这些结果通过实测位移运动产生运动仿真的“桌子”。比较结果表明,该技术能显著提高测量准确度。
关键词：GPS变形监测、结构、加速度计；综合数据处理、静态和动态位移法、EDM的经典分解模式；自适应滤波器
Abstract
Global Positioning System (GPS) is being actively applied tomeasure static and dynamic displacement responses of large civil engineering structures under winds. However, multipath effects and low sampling frequencies affect the accuracy of GPS for displacement measurement.On the other hand, accelerometers cannot reliably measure static and low-frequency structural responses, but can accurately measure highfrequency structural responses. Therefore, this paper explores the possibility of integrating GPS-measured signals with accelerometer-measured signals to enhance the measurement accuracy of total (static plus dynamic) displacement response of a structure. Integrated data processing techniques using both empirical mode decomposition (EMD) and an adaptive filter are presented. A series of motion simulation table tests are then performed at a site using three GPS receivers, one accelerometer, and one motion simulation table that can simulate various types of motion defined by input wave time histories around a pre-defined static position.The proposed data processing techniques are applied to the recorded GPS and accelerometer data to find both static and dynamic displacements. These results are compared with the actual displacement motions generated by the motion simulation table. The comparative results demonstrate that the proposed technique can significantly enhance the measurement accuracy of the total displacement of a structure.
Keywords：GPS structural deformation monitoring ・Accelerometer ・ Integrated data processing ・ Static and dynamic displacements ・ Empirical mode decomposition (EMD) ・ Adaptive filter
摘要
全球定位系统(GPS)现在正积极应用静态和动态位移法在有风的情况下对大型土木工程结构进行监测。然而,多路径效应和低采样频率的精度影响GPS位移测量。另一方面,加速度计静态和低频不能有效的措施结构反应,但可以精确测量高频结构的反应。因此,本文仅探讨GPS与测量结合的可能性，信号提高对测量准确度的(静态加上动态)一个结构的位移响应。集成数据处理技巧,利用两个经验模式分解(EMD)和自适应滤波的方法。一系列的运动模拟台试验，然后根据站点使用三个GPS接收器,一个加速度、“桌子”和一个运动仿真可以模拟各种类型的运动定义为输入，在波时间历程一个预先定义的静态的位置。该数据处理技术应用：记录的GPS和加速度计数据，发现两者都有静态和动态位移。这些结果通过实测位移运动产生运动仿真的“桌子”。比较结果表明,该技术能显著提高测量准确度。
关键词：GPS变形监测、结构、加速度计；综合数据处理、静态和动态位移法、EDM的经典分解模式；自适应滤波器
Abstract
Global Positioning System (GPS) is being actively applied tomeasure static and dynamic displacement responses of large civil engineering structures under winds. However, multipath effects and low sampling frequencies affect the accuracy of GPS for displacement measurement.On the other hand, accelerometers cannot reliably measure static and low-frequency structural responses, but can accurately measure highfrequency structural responses. Therefore, this paper explores the possibility of integrating GPS-measured signals with accelerometer-measured signals to enhance the measurement accuracy of total (static plus dynamic) displacement response of a structure. Integrated data processing techniques using both empirical mode decomposition (EMD) and an adaptive filter are presented. A series of motion simulation table tests are then performed at a site using three GPS receivers, one accelerometer, and one motion simulation table that can simulate various types of motion defined by input wave time histories around a pre-defined static position.The proposed data processing techniques are applied to the recorded GPS and accelerometer data to find both static and dynamic displacements. These results are compared with the actual displacement motions generated by the motion simulation table. The comparative results demonstrate that the proposed technique can significantly enhance the measurement accuracy of the total displacement of a structure.
Keywords：GPS structural deformation monitoring ・Accelerometer ・ Integrated data processing ・ Static and dynamic displacements ・ Empirical mode decomposition (EMD) ・ Adaptive filter
