Wave parameter estimation method and device

A wave parameter and wave technology, applied in neural learning methods, computing, image data processing, etc., can solve the problems of high cost and accuracy limitations, weak ability to resist wind and waves, and high monitoring costs, so as to reduce computational overhead and time overhead. , high accuracy, good economic effect

Pending Publication Date: 2020-12-15
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology

Among them, manual observation is highly subjective; although wave buoys have certain reliability, their ability to resist wind and waves is weak; the use of X-band wave radar technology not only makes monitoring costs high, but also requires regular calibration and maintenance; Weather remote sensing satellites are sensitive to clouds and have high cost and accuracy constraints
[0004] In addition, most current monitoring or prediction of wave parameters rely on spatial information

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  • Wave parameter estimation method and device
  • Wave parameter estimation method and device

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Embodiment Construction

[0055] A method and device for estimating wave parameters proposed by the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The advantages and features of the present invention will become clearer from the following description. It should be noted that the drawings are in a very simplified form and all use imprecise scales, which are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention. In order to make the objects, features and advantages of the present invention more comprehensible, please refer to the accompanying drawings. It should be noted that the structures, proportions, sizes, etc. shown in the drawings attached to this specification are only used to match the content disclosed in the specification, for those who are familiar with this technology to understand and read, and are not used to limit the implementation of the present ...

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Abstract

The invention discloses a wave parameter estimation method and device. The wave parameter estimation method comprises the following steps: acquiring wave video data; processing the wave video data byusing an improved three-dimensional convolutional neural network to construct a wave parameter estimation model; and obtaining a wave parameter estimation value through the wave parameter estimation model. According to the method, the wave parameter estimation model is constructed by using the wave video data and the improved three-dimensional convolutional neural network, so that the estimation of wave parameters is realized. According to the improved three-dimensional convolutional neural network, deep separable convolution is adopted, a lightweight neural network can be constructed, and thecalculation expenditure and time expenditure of a wave parameter estimation model are greatly reduced.

Description

technical field [0001] The invention relates to the technical field of hydrodynamics, in particular to a wave parameter estimation method and device for estimating ocean state. Background technique [0002] Ocean state estimation plays an important role in coastal monitoring, port design, and autonomous intelligent ship design. Specific ocean engineering operations require real-time forecasting of ocean conditions at specific locations. However, the marine environment is relatively complex, especially the influence of factors such as wind, waves, and currents. Therefore, it is necessary to estimate the state of the ocean in combination with marine parameters such as wind, waves, and currents, so as to ensure the successful and safe completion of marine engineering tasks. [0003] In the marine environment, wave parameters, as the main parameters representing the shape and properties of ocean waves, are closely related to ocean operations (such as the design of ocean energy s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/60G06N3/04G06N3/08
CPCG06T7/60G06N3/084G06T2207/10021G06N3/045
Inventor 吴华锋张媛媛
Owner SHANGHAI MARITIME UNIVERSITY
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