Wave buoy dominant wave direction calculation method based on mean shift clustering algorithm

A mean-shift, wave buoy technology, applied in calculations, computer parts, complex mathematical operations, etc., can solve problems such as errors, and achieve the effect of improving accuracy and high coincidence

Pending Publication Date: 2022-01-18
中国船舶集团有限公司第七二四研究所
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Problems solved by technology

By comparison, the domestic wave direction measurement method for the second type of principle buoy is similar to the Kenneth Steele method, but the current domestic wave direction measurement method has

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  • Wave buoy dominant wave direction calculation method based on mean shift clustering algorithm
  • Wave buoy dominant wave direction calculation method based on mean shift clustering algorithm
  • Wave buoy dominant wave direction calculation method based on mean shift clustering algorithm

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Embodiment Construction

[0085] The present invention will be further described below in conjunction with the accompanying drawings.

[0086] attached Figure 11 It is a flow chart of the present invention, which can be specifically divided into the following steps. The first step is outlier detection, the second step is outlier correction, the third step is to divide the wave period, the fourth step is to calculate the direction of a single wave, and the fifth step is to The first step is to count the counting ratio of the single wave direction measurement results in the 16 angle intervals, and the sixth step is to calculate the main wave direction.

[0087] The wave buoy used in the embodiment of the present invention is a domestically produced SZF type wave buoy, which is deployed in Pingtan sea area for sea wave measurement experiments. The working position is 1-hour timing measurement mode. The buoy performs wave measurement at the whole hour of every day. The sampling interval is 0.5s, and the ...

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Abstract

The invention belongs to the technical field of ocean monitoring, and particularly relates to a wave buoy dominant wave direction calculation method based on a mean shift clustering algorithm. The method comprises the following steps: reading a group of continuous original data measured and recorded by a buoy, and carrying out outlier detection on original trim angle and heeling angle data by utilizing an outlier detection algorithm based on mean shift clustering without specifying the number of clusters in advance; processing the detected outliers by adopting an outlier correction method; dividing wave periods by using an upper-span zero point, and determining the number of the wave periods; selecting a sampling point interval for calculating the wave direction of a single wave, and calculating the instantaneous wave direction of each sampling point in the interval and the wave direction of the single wave; counting the counting proportion of the wave direction measurement result of a single wave in 16 angle intervals; and selecting the median of the angle interval with the maximum counting proportion value as the main wave direction. According to the method, the outliers in the inclination angle data are detected and processed, so that the influence of the outliers on wave direction measurement is eliminated, and the wave direction measurement accuracy of the buoy is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of marine monitoring. Background technique [0002] Ocean waves play a leading role in many marine environmental factors. Ocean waves are a kind of fluctuation phenomenon that occurs on the ocean surface, and are the most important and complex natural phenomenon among the elements of ocean monitoring. Therefore, the development and development of the ocean has become a strategic choice for many coastal countries in the world. Ocean wave monitoring is one of the important tasks for human beings to understand, research, develop and utilize the ocean. Modern navigation, shipbuilding, military affairs, marine engineering, disaster monitoring and early warning and other fields all need to obtain high-precision real-time wave data, which is used to describe the quantity of wave characteristics. , such as wave height, wave direction, period, phase velocity, wavelength, etc., are collectively referred to as wave el...

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Application Information

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IPC IPC(8): G06F17/10G06K9/62G01C13/00
CPCG06F17/10G01C13/002G06F18/23213
Inventor 吴鑫杨学岭管志强孟凡君鲍鹏飞
Owner 中国船舶集团有限公司第七二四研究所
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