Auxiliary fishing method based on big data and unmanned aerial vehicle
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A technology of unmanned aerial vehicles and big data, applied in unmanned aerial vehicles, services based on specific environments, fishing, etc., can solve problems such as rough production, backward technology, and low catches, and improve fishing production efficiency and fishing yield, assisting fishing decision-making, and improving search efficiency
Active Publication Date: 2022-06-28
海南热带海洋学院崖州湾创新研究院 +1
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[0002] With climate change, environmental pollution, and excessive consumption of resources, fisheries around the world are declining day by day, unlike Japan, the United States and other fishing powers that rely on advanced technology to increase their catch. Migration rules, fish forecasting technology, fishing equipment, intelligent scheduling, and ship processing started late. The technology is relatively backward, the production is relatively rough, and there are problems such as large energy consumption, low production efficiency, and low catch per unit fishing effort.
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[0028] see Figures 1 to 3 , in the embodiment of the present invention, an auxiliary fishing method based on big data and unmanned aerial vehicles, the auxiliary fishing method is composed of an onshore command center, an on-board control center, and an unmanned aerial vehicle system, and the on-shore command center cooperates with the on-board control center, The fishing vessel collaborates with the onboard drone to execute the fishing plan, which includes:
[0029] The onshore command center adopts a hybrid structure of BS and CS, combined with big data, cloud computing, artificial intelligence and visualization technology, to establish a "one picture" system for fisheries forecasting and decision-making and scheduling, consisting of LED screens, processors, cloud servers, satellite phones, Satellite antennas, AIS antennas, VHF antennas, comprehensive hydrological data, catch statistics and fish population biological indicators to establish forecast models;
[0030] The on...
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Abstract
The invention relates to the technical field of auxiliary fishing, and discloses an auxiliary fishing method based on big data and an unmanned aerial vehicle, that is, fishing boat fishing logs, fishing boat AIS over the years, migration habits and routes, historical fishery marine environment elements and other data are fused, and a satellite remote sensing technology, an artificial intelligence technology and a visualization technology are combined. A fishing condition forecasting and decision scheduling'one graph 'system is constructed, business release of data is realized through a Beidou short message technology, and a shipborne terminal can receive the data in real time. In the actual fishing process, when the fishing boat is close to the predicted fishing ground, the unmanned aerial vehicle is released to search by taking the predicted fishing ground center O as an original point, and after fish schools are found, the optimal fishing position can be estimated, tracked, marked and even lured by light or bait, so that the searching efficiency can be improved, the fishing decision can be assisted, and the fishing efficiency can be improved. The consumption of fuel oil, fresh water, time, energy and the like can be reduced, and the fishing production efficiency and the fishing yield can be effectively improved.
Description
technical field [0001] The invention relates to the technical field of auxiliary fishing, in particular to an auxiliary fishing method based on big data and unmanned aerial vehicles. Background technique [0002] With climate change, environmental pollution, and excessive consumption of resources, the world's fishing grounds are declining day by day. Unlike Japan, the United States and other powerful fishery countries that rely on advanced technology to increase their catches, although my country ranks first in the world and a major fishery country, it is still a major fishery country. Research on migration law, fishing situation forecasting technology, fishing equipment, intelligent dispatching, and ship processing started late. The technology is relatively backward, the production is relatively rough, and there are problems such as high energy consumption, low production efficiency, and low catch per unit of fishing effort. . Therefore, those skilled in the art provide an a...
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