A water area cruise system based on svm and kalman filter for fish dynamic prediction

Abstract

The invention relates to a water area cruising system based on SVM and Kalman filter fish dynamic prediction, comprising: a cruising ship equipped with a hull controller, an electric motor, a camera, a steering gear, a GPS module, and a sonar module; the sonar module It is used to detect fish school information; the control center communicates with the hull controller of the cruise ship, and is used to predict fish school dynamics by combining SVM and Kalman filter fish school dynamic prediction algorithm to predict the target position of fish school; It is used to plan the feeding path of the cruise ship according to the target position of the fish school, the position information of the cruise ship, and the water environment information; it is also used to send the feeding path to the hull controller of the cruise ship, so that the cruise ship operates according to the feeding path. The invention realizes real-time automatic cruising detection in the whole water area through the cruising ship, effectively reduces the number of additional detection devices, and can better recognize the water area environment so as to realize self-adaptive tracking and advancing.

Description

technical field [0001] The invention belongs to the technical field of water patrol detection, and in particular relates to a water area cruising system based on SVM and Kalman filter for dynamic prediction of fish schools. Background technique [0002] With the development of society, environmental protection is getting more and more attention. The southeast coast has vast waters and rich water resources, and the aquaculture industry is relatively developed. But in aquaculture, water cruising and fish feeding are key issues. [0003] At present, most fishing boats patrolling on the water use the method of setting routes manually, and the fishing boats cannot plan their own paths; and the obstacles on the routes cannot be predicted manually, and they cannot be automatically avoided when the fishing boats arrive; and when there are many fishing boats, it is easy to repeat the arrangement fishing boats travel the same path. [0004] In addition, fishery production is develo...

AI Technical Summary

Problems solved by technology

[0003] At present, most fishing boats patrolling on the water use the method of setting routes manually, and the fishing boats cannot plan their own paths; and the obstacles on the routes cannot be predicted manually, and they cannot be automatically avoided when the fishing boats arrive; and when there are many fishing boats, it is easy to repeat the arrangement of fishing boats travel the same path

[0004] In addition, fishery production is developing from small-scale household production to large-scale professional and mechanized production. Traditional fish pond feeding machines have a low degree of automation, and to a certain extent have the following disadvantages for scientific fish feeding:

[0005] (1) The equipment is large in size;

[0006] (2) There is a large amount of feeding each time, and it is impossible to realize regular intermittent feeding of fish feed, so that a large amount of fish feed is thrown out at one time and hoarded on the water surface, and the feed that sinks into the bottom of the pond and dissolves into the water body rots and deteriorates, resulting in waste;

[0007] (3) Unable to adapt to the living habits of different species of fish

Due to the crowding of fish foraging, it will cause local severe hypoxia; when the dissolved oxygen is not enough to maintain life, the foraging fish will instinctively flee, and it is inevitable that smaller fish cannot forage normally, resulting in a low feeding rate The phenomenon that affects the breeding effect

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