Ocean wave inversion method based on motion data of unmanned boat
A motion data and ocean wave inversion technology, applied in the field of ocean observation, can solve the problems of easy damage, poor research effect, expensive sensors, etc., and achieve the effects of easy maintenance, long service life and accurate measurement
Active Publication Date: 2022-04-26
TIANJIN UNIV
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Problems solved by technology
One is to use fluid dynamics to study ideal regular fluctuations. This method is suitable for the study of some simple fluctuations, but the research effect on complex random waves in nature is poor; the other is to regard ocean waves as composed of many amplitudes and frequencies , direction, and phase of the superposition of sine waves, and then use the random process to describe the wave and obtain the wave spectrum through various sensors, and then analyze the nature of the wave. The results obtained by this method are more accurate than the first method, but in the spectral transformation There are still errors in the process and the sensors that acquire the wave spectrum are usually expensive and easily damaged
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[0029] The specific implementation manner of the present invention will be described in detail below in conjunction with the accompanying drawings and preferred embodiments. A wave inversion method based on motion data of unmanned boats, figure 1 It is a flowchart of the ocean wave inversion method based on the motion data of the unmanned boat of the present invention, such as figure 1 As shown, the method of this embodiment may include:
[0030] Step 1. Propose the force model of the MEMS sensor;
[0031] Step 2, using the unmanned boat to carry the motion data acquisition system to obtain its motion posture data under the action of waves;
[0032] Step 3, performing data conversion between the unmanned vehicle carrier coordinate system and the earth navigation carrier coordinate system for each motion data in step 2, and solving the numerical value of the above-mentioned motion data under the navigation coordinate system;
[0033] Step 4. Calculate the amplitude, frequenc...
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The present invention relates to the technical field of ocean observation, and in particular to a method for inversion of ocean waves based on motion data of unmanned boats. Step 1 is to propose a force model for MEMS sensors; Movement attitude data under the action of sea waves; step 3, carrying out data conversion between the unmanned vehicle carrier coordinate system and the earth navigation carrier coordinate system for each movement data in step 2, and solving the numerical value of the above-mentioned movement data under the navigation coordinate system; Step 4. Calculate the amplitude, frequency, and phase parameters of the ocean wave and draw the ocean wave trajectory; Step 5. Compare the calculated data after the trajectory drawn in Step 4 with the actual measurement data of the measuring instrument to obtain the final ocean wave parameters. The invention has the advantages of accurate measurement, small error, long service life, low cost, easy maintenance and good application prospect.
Description
technical field [0001] The invention relates to the technical field of ocean observation, in particular to an ocean wave inversion method based on motion data of an unmanned boat. Background technique [0002] Ocean waves are regular or irregular fluctuations between the sea-air interface. It is an important aspect of physical oceanography research, and it is also one of the marine environment elements that must be considered in the safe navigation of ships, the construction of marine engineering facilities, and disaster prevention and mitigation. First, the observation of ocean waves has very important practical application value and academic research value. The characteristics of ocean waves mainly include propagation direction, amplitude, period, frequency, wavelength, etc. The effective combination of these parameters is also an important method to describe ocean wave phenomena. According to the conditions of generation, ocean waves can be divided into two types, wind w...
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IPC IPC(8): G01C13/00G01C21/16G01S19/42G01S19/52
CPCG01C13/002G01C13/004G01C13/006G01C21/165G01S19/52G01S19/42
Inventor 张安民周健张豪刘帅
Owner TIANJIN UNIV