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IET Cyber-Systems and Robotics
IET Cyber-Systems and Robotics  2019, Vol. 1 Issue (1): 20-27    DOI: 10.1049/iet-csr.2018.0002
    
通过自由表面PDE模型和图像序列同化对流量进行可视化推理
Shan Guo1,2, Chao Xu3 , Ka Fai Cedric Yiu2
1 School of Mathematical Sciences, Zhejiang University, Hangzhou, People's Republic of China 2 Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, People's Republic of China 3 Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, People's Republic of China
Visual inference of flow flux via free surface PDE model and image sequence assimilation
Shan Guo1,2, Chao Xu3 , Ka Fai Cedric Yiu2
1 School of Mathematical Sciences, Zhejiang University, Hangzhou, People's Republic of China 2 Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, People's Republic of China 3 Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, People's Republic of China
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摘要： 自由表面流动，例如河流、湖泊和潮汐中的流动，在水利工程和环境监测中发挥着重要作用。然而，由于其复杂多变的特征，很难重建精确的演化过程。在这项研究中，作者提出了一个新的框架，通过同化图像序列重建由浅水方程建模的自由表面流动。特别地，采用集合卡尔曼滤波器框架来实现同化过程。所提策略的效率通过数值模拟进行了验证，其中不同情况下的精确流场可以通过有限的同化步骤获得。
Abstract: The free-surface flows, such as flows in rivers, lakes, and tides, play an important role in hydraulic engineering and environmental monitoring. However, due to their complex and changeable characters, the precise evolution procedure is quite difficult to reconstruct. In this study, the authors propose a novel framework to reconstruct the free-surface flow modelled by the shallow water equations by assimilating the images sequences. In particular, the ensemble Kalman filter framework is employed to implement the assimilation process. The efficiency of the proposed strategy has been verified through numerical simulations in which the accurate flow field in different situations could be obtained within limited assimilation steps.
收稿日期: 2018-12-14 出版日期: 2019-05-10
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Shan Guo
Chao Xu
Ka Fai Cedric Yiu

引用本文:

Shan Guo, Chao Xu, Ka Fai Cedric Yiu. Visual inference of flow flux via free surface PDE model and image sequence assimilation. IET Cyber-Systems and Robotics, 2019, 1(1): 20-27.

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http://www.zjujournals.com/iet-csr/CN/10.1049/iet-csr.2018.0002    或    http://www.zjujournals.com/iet-csr/CN/Y2019/V1/I1/20

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