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Utilization of Kalman Filter Technique in Deformation Prediction of Above Surface Storage Tank

机译:利用卡尔曼滤波技术在表面储罐变形预测中的变形预测

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Kalman filtering is a multiple-input, multiple-output filter that can optimally estimate the states of a system, so it can be considered a suitable means for deformation analysis. The states are all the variables needed to completely describe the system behavior of the deformation process as a function of time (such as position, velocity etc.). The standard Kalman filter estimates the state vector where the measuring process is described by a linear system. While, in order to process a non-linear system an optimized aspect of Kalman filter is appropriate. Engineering Geodesy is the application of only geodetic methods for mapping certain geometric shape or of the topographic surface with respect to accurately define reference frame. Geodetic methods configure positions in Space with respect to the Earth and interpret the geodetic measurements in terms of a Euclidean Geometry. However Geodesy as discipline may unravel not only the geometric but also the kinematical and the physical nature of the Earth via geometric measures. At present, like in other Earth disciplines, Geodesy measurements depend on the dynamical and physical features of the Earth. One of the main issues of Engineering Geodesy is accurate prediction of value of structural deformation. Above storage Tank is like other deformable structure whose shape, form and safety is of interest to Engineering fields. The main purpose of structural deformation monitoring scheme and analysis is to detect any significant movements of the structure. Presented here is geodetic methods of determination of Velocity and Acceleration of deformable object in Time domain and predict deformation value using Kalman Filter. Analysis of the result indicated that there are correlations between the observed and the predicted deformation value for year 2004, 2008, 2010 and 2012 respectively.
机译:卡尔曼滤波是一种多输入的多输出滤波器,可以最佳地估计系统的状态,因此可以被认为是用于变形分析的合适手段。各种变量是完全描述变形过程的系统行为作为时间的函数(例如位置,速度等)。标准卡尔曼滤波器估计线性系统描述测量过程的状态矢量。虽然,为了处理非线性系统,kalman滤波器的优化方面是合适的。工程大动物是仅应用用于映射某些几何形状或相对于精确地限定参考帧的地形表面的大地测量方法。大地测量方法在地球上配置空间的位置,并根据欧几里德几何形状解释大地测量。然而,随着纪律的大地可能不仅可以通过几何措施而不仅揭开几何,而且可以通过几何措施来解开地球的动力学和物理性质。目前,就像在其他地球学科一样,大地测量取决于地球的动态和物理特征。工程大地的主要问题之一是对结构变形的价值的准确预测。上面的储罐就像其他可变形结构,其形状,形式和安全对工程领域感兴趣。结构变形监测方案和分析的主要目的是检测结构的任何显着运动。此处呈现了在时域中测定可变形物体的速度和加速度的大地测量方法,并使用卡尔曼滤波器预测变形值。结果分析表明,观察和2004年,2008年,2010年和2012年的预测变形值之间存在相关性。

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