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Intelligent feeding system and method based on growth model and sonar feedback

A growth model and sonar technology, applied in the field of intelligent feeding system based on growth model and sonar feedback, can solve problems such as excessive feeding of fish, and achieve the effect of accurate feeding and not easy to excessive feeding.

Pending Publication Date: 2021-01-12
四川渔光物联技术有限公司
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is that at the present stage, when the machine vision method is used for feeding feedback in aquaculture, it is easy to be affected by factors such as light conditions and the permeability of the water body, and it is easy to cause excessive feeding of fish only by feeding feedback. Problem, the purpose is to provide an intelligent feeding system and method based on growth model and sonar feedback to solve the problems encountered in the above-mentioned background technology

Method used

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  • Intelligent feeding system and method based on growth model and sonar feedback

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Embodiment

[0048] The group to be fed in this embodiment is fish.

[0049] Such as figure 1 As shown, an intelligent feeding system based on growth model and sonar feedback, including a data acquisition module, a storage module, a fish finder, a feeding control processor, and a wind feeding bait feeding machine;

[0050] The data acquisition module is used to collect water quality parameters, meteorological parameters and sonar echo intensity data of the water body where the fed group is located;

[0051] The fish finder uses less than four beams of simple sonar to detect the number of swim bladder echoes, which can reflect the relative results of more fish or fewer fish, and classify according to the number of echoes. The lower the level, the slower the feeding rate , the higher the level, the faster the feeding rate; the fish finder uses high-frequency sonar to collect real-time images of fish, and evaluates the number and specifications of fish based on the MaskRcnn neural network al...

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Abstract

The invention discloses an intelligent feeding method based on a growth model and sonar feedback. The intelligent feeding method comprises the following steps: S1, establishing a growth model and a feeding prediction model of a fed group; S2, acquiring average specification data of fed groups by the aid of sonar systems before the feed is fed; S3, according to the growth model, the feeding prediction model and the average specification data of the fed group, formulating the feeding amount of the day, and determining the basic feeding amount of each meal in combination with the feeding frequency; s4, feeding the fed group according to the basic feeding amount of each meal, and meanwhile, detecting the number of swim bladder echoes in the feeding process of the fed group by utilizing a sonarsystem; S5, performing analysis processing based on a given algorithm on the echo number of the fish, and grading the number of feeding objects; s6, making a feeding decision according to the aggregation number of the fed groups; and S7, controlling the feeding rate and the feeding amount of the fed group according to the feeding decision.

Description

technical field [0001] The invention relates to an intelligent feeding system and method, in particular to an intelligent feeding system and method based on growth model and sonar feedback. Background technique [0002] In aquaculture in large water bodies in my country, the cost of feed accounts for more than 60% of the total cost of aquaculture. Ensuring accurate feeding of feed plays a key role in controlling costs. At present, the feed feeding of fish cultured in large water bodies is basically fed by traditional bait feeding machines. The traditional bait feeder only has timing and quantitative functions, and the food intake of fish will be affected by its own and external factors, so the food intake is variable. Feeding ratios can lead to underfeeding or overfeeding, which can affect fish welfare. Moreover, the determination of the feeding amount is highly dependent on the breeding experience and quality of the workers, and there are problems of inaccurate determina...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/04G01D21/02G01S15/96A01K61/80
CPCG05B19/04G01D21/02G01S15/96A01K61/80Y02A40/81
Inventor 饶勇刘超邓玉平郎洋陈章吴宗文黄俊霖文华
Owner 四川渔光物联技术有限公司
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