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Multi Scale Information Fusion Predicating Model of Gravity Dam Deformation

机译:重力坝变形的多尺度信息融合预测模型

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Taken gravity dam deformation as random variables, multi-scale manifestation has been taken on deformation to build multi-scale statistical model based on multi-scale system theory. Then dam monitoring system has been transformed to integrate deformation monitoring information in the multi-scale domain. Furthermore, the multi scale information fusion estimation model has been established. At last, the predicating model of gravity dam deformation has been built with EWKHEFA algorithm using standardized Kalman filter. These methods have been applied into an actual project and the result shows that the model can be used into gravity dam deformation prediction effectively.
机译:以重力坝变形为随机变量,以变形的多尺度表现形式建立了基于多尺度系统理论的多尺度统计模型。然后,对大坝监测系统进行了改造,以将变形监测信息集成到多尺度域中。此外,建立了多尺度信息融合估计模型。最后,采用标准的卡尔曼滤波器,通过EWKHEFA算法建立了重力坝变形的预测模型。这些方法已应用于实际工程,结果表明该模型可有效地应用于重力坝变形预测。

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