Unmanned aerial vehicle remote sensing-based wave and floating body movement forecasting system

A forecasting system and floating body motion technology, applied in the field of ships and marine engineering, to achieve the effect of improving operational efficiency, avoiding dangerous situations, and having a large degree of freedom

Active Publication Date: 2018-01-19
HARBIN ENG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a wave and floating body motion forecast

Method used

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  • Unmanned aerial vehicle remote sensing-based wave and floating body movement forecasting system

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Embodiment Construction

[0022] The invention discloses a wave and floating body motion prediction system based on remote sensing of drones, and its specific implementation steps include:

[0023] (1) Use the ship-borne UAV to obtain the photo of the distant wave flow field around the ship, analyze the information on the photo, and invert to obtain the actual wave surface elevation information;

[0024] (2) Use the fast Fourier transform to process the wave elevation information obtained by the UAV, and decompose the irregular wave surface into the superposition of multiple regular waves;

[0025] (3) According to the wave propagation model, calculate the time when multiple monochromatic waves arrive at the position of the ship obtained from the wave surface information observed by the UAV, count the number of monochromatic waves arriving at or leaving the position of the ship at each time, and calculate The ratio of the energy of the monochromatic wave arriving at the position of the ship and leaving...

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Abstract

The invention discloses an unmanned aerial vehicle remote sensing-based wave and floating body movement forecasting system, and belongs to the technical field of ships and marine engineering. A shipborne unmanned aerial vehicle is used to obtain a ship's periphery distant wave flow field, and the information on the picture is analyzed and inversely deduced to obtain wave elevation information; thewave elevation information obtained by the unmanned aerial vehicle is processed, and an irregular wave surface is decomposed into superposition of a plurality of regular waves; the moments of all monochromatic waves reaching the ship are calculated according to wave propagation models, the proportion of the monochromatic waves, reaching the ship at every moment, in total monochromatic waves is calculated, and forecasting is carried out if the proportion is higher than a preset threshold; and all monochromatic waves generate wave surfaces according to a predetermined wave model, the wave surfaces are the forecast wave surfaces, and the movement of a floating body is calculated through RAO, a pulse response function and other fast algorithms. The system provides long-period accurate wave field information and self movement forecasting information for offshore structures and engineering work, and improves the working efficiency.

Description

technical field [0001] The invention belongs to the technical field of ships and ocean engineering, and in particular relates to a motion forecasting system for waves and floating bodies based on remote sensing of drones. Background technique [0002] There are extremely rich resources in the ocean, and human beings have been exploring and developing the ocean. Structures such as ships and offshore platforms are important tools for people to carry out operations at sea. When these structures perform tasks at sea, the movement range of the platform or ship is often required to be less than a certain value, otherwise it will interfere with the task and sometimes even threaten the safety of the structure itself. [0003] Ships and platforms are always in the wave field of the ocean, and the influence of waves on the motion of these structures is very important. To accurately predict the motion of ships, the wave field must first be predicted correctly. The traditional wave fo...

Claims

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Application Information

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IPC IPC(8): G01C13/00
Inventor 段文洋马学文黄礼敏王战韩阳赵彬彬邵文勃刘煜城何强吴东伟
Owner HARBIN ENG UNIV
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