Water area cruising system for fish school dynamic prediction based on SVM and Kalman filtering

Abstract

The invention relates to a water area cruising system for fish school dynamic prediction based on SVM and Kalman filtering. The water area cruising system comprises a cruising ship and a control center; a hull controller, an electric motor, a camera, a direction steering engine, a GPS module and a sonar module are mounted on the cruising ship, and the sonar module is used for detecting fish schoolinformation; and the control center is in communication connection with the hull controller of the cruising ship and used for dynamically predicting a fish school by combining with a fish school dynamic prediction algorithm of SVM and Kalman filtering so as to predict the target position of the fish school, and the control center is further used for planning the feeding path of the cruising shipaccording to the target position of the fish school, position information of the cruising ship and the water area environment information, and further used for sending the feeding path to the hull controller of the cruising ship, so that the cruising ship operates according to the feeding path. According to the water area cruising system, real-time automatic cruising detection of the whole water area is achieved through the cruising ship, the number of additional detecting devices is effectively decreased, the water area environment can be well recognized, and thus adaptive tracking advancingis achieved.

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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