Method and system for intelligently detecting wave height and wind speed from coastal sea wave monitoring video

A technology for surveillance video and intelligent detection, applied in the marine field, can solve problems such as low computing efficiency, poor robustness, and wind speed detection

Active Publication Date: 2022-06-03
国家海洋环境预报中心
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] To this end, the embodiment of the present invention provides a method and system for intelligently detecting wave height and wind speed from near-shore ocean wave monitoring video, so as to solve the need for the detec

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  • Method and system for intelligently detecting wave height and wind speed from coastal sea wave monitoring video
  • Method and system for intelligently detecting wave height and wind speed from coastal sea wave monitoring video
  • Method and system for intelligently detecting wave height and wind speed from coastal sea wave monitoring video

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Embodiment 1

[0039] like figure 1 As shown, this embodiment proposes a method for intelligently detecting wave height and wind speed from near-shore wave monitoring video, which is implemented by using a deep neural network to simulate the principle of artificially estimating wave height and wind speed. The deep neural network model only needs to input short video data to detect the wave height and wind speed information with high accuracy. Specifically include:

[0040] S100 , acquiring raw coastal wave monitoring video and hydrology-meteorological synchronous observation data, and establishing a training set.

[0041] Obtain video surveillance and hydrology-meteorological synchronous observation data: According to the ergodic conditions of waves, select the sea area with video surveillance and hydrology-meteorological synchronous observation conditions as the experimental site. Accumulate long enough video and observation data, especially to strengthen the monitoring and observation of...

Embodiment 2

[0076] Corresponding to the above-mentioned Embodiment 1, this embodiment proposes a system for intelligently detecting wave height and wind speed from offshore wave monitoring video, and the system includes:

[0077] The data acquisition module is used to obtain the original coastal wave monitoring video and hydrology-meteorological synchronous observation data, and establish a training set;

[0078] A model training module is used to train a pre-built deep neural network model using the training set, wherein the wave monitoring video data is used to generate the input data of the neural network model, and the wave height and The wind speed is used as the output of the neural network model;

[0079] The model testing module is used to test the trained deep neural network model.

[0080] Further, the data acquisition module specifically includes:

[0081] The video monitoring module includes a video capture device, a communication network and a main control server, the video...

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Abstract

The embodiment of the invention discloses a method and a system for intelligently detecting wave height and wind speed from a coastal sea wave monitoring video, the method can extract wave height and wind speed elements from minute-level video data, the length of the video data input by a model is very short, and the use of other basic functions (such as patrol and view scaling) of camera equipment is hardly influenced. The average absolute error between a wave height element detection value and a measured value is smaller than 0.5 m, the absolute error between a wind speed detection value and the measured value is smaller than 3 m/s, and wave height and wind speed information with high precision can be detected only by inputting very short video data.

Description

technical field [0001] Embodiments of the present invention relate to the field of marine technology, and in particular, to a method and system for intelligently detecting wave height and wind speed from offshore wave monitoring video. Background technique [0002] The rapid development of ocean activities has put forward higher and higher requirements for ocean wave and meteorological observations. Because the dynamic, chemical and biological destructive factors in the marine environment are extremely unfriendly to contact observation equipment, the traditional buoy observation has problems such as high cost and easy damage, which cannot fully meet the needs of the industry. In this context, non-contact observation methods have attracted more and more attention, and the method of obtaining environmental element information based on surveillance video in the nearshore observation field is favored. There have been some studies on the detection of ocean wave elements using vi...

Claims

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Application Information

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IPC IPC(8): G06V20/40G06K9/62G06V10/774G06V10/82G06N3/04G06N3/08G01D21/02
CPCG06N3/08G01D21/02G06N3/045G06F18/214Y02A90/10
Inventor 高志一于福江徐瑞李锐徐腾
Owner 国家海洋环境预报中心
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