A method for early warning of damage to marine aquaculture net cages

Abstract

The invention discloses a method for early warning of damage to a marine aquaculture net cage, which includes determining the damage level of the marine aquaculture net cage; identifying the main control factor of the disaster-caused damage of the marine aquaculture net cage structure by using the gray correlation degree; and establishing the disaster-causing method by using a BP neural network The quantitative relationship between the main control factors of damage and the structural damage of marine aquaculture cages; draw the spatial distribution map of the risk level of marine aquaculture cage culture disasters. By analyzing the damage of the floating frame, the loss of aquaculture volume caused by the deformation of the net clothing, and the anchorage unanchored, etc., aiming at the specific structure of the marine aquaculture cage facilities in the target sea area, the gray correlation analysis method was used to identify the main cause of the structure damage of the marine aquaculture cage. The hazard-causing factors are controlled, and the quantitative relationship between the hazard-causing factors and the structural damage of gravity deep-water cages is constructed by using the BP neural network method. Realize the rapid and accurate judgment of the damage level of the marine aquaculture cage, and realize the provision of corresponding early warning information for the individual aquaculture.

Description

technical field [0001] The invention relates to the technical fields of aquaculture and marine engineering, in particular to a method for early warning of disasters in marine aquaculture cages. Background technique [0002] my country's offshore and deep-sea aquaculture cages are seriously threatened by severe marine disasters such as storm surges, which seriously hinders the development of my country's facility aquaculture industry. According to statistics, the economic loss of marine aquaculture caused by coastal storm surges and other marine disasters in my country is as high as billions of yuan every year. There is an urgent need for an early warning system and method for disaster damage to aquaculture net cages at sea, which can predict the damage level of aquaculture net cages before marine disasters arrive; when marine disasters arrive, provide rescue suggestions for aquaculture net cages; Afterwards, the extent of damage to the cages can be assessed. Commonly used ...

AI Technical Summary

Problems solved by technology

[0008] At present, the relevant research on marine aquaculture cages mainly focuses on the dynamic characteristics under the load of the marine environment, and no systematic analysis has been conducted on the disaster-induced damage mechanism of aquaculture cages under marine disasters.

In addition, both the physical model test and the numerical simulation method have the disadvantage of taking a long time, and one experiment can only study a single disaster-causing factor, and cannot realize rapid early warning of marine disasters, which is not conducive to practical application

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