Intelligent aquaculture automatic control system

Through the dynamic control of feeding feedback and water disturbance zoning modules, combined with the active density image of the fish school, a series network of equipment is constructed to solve the problems of inaccurate feeding and mismatched water flow regulation in existing aquaculture systems, and achieve highly adaptable automated control.

CN120610478AInactive Publication Date: 2025-09-09WUHAN FENGPEI INTELLIGENT BIOTECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510734447.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-09-09
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing aquaculture automatic control systems are unable to dynamically adjust feeding operations based on real-time changes in feeding density, resulting in bait backlog or feeding delays. In addition, the activation of water flow regulation equipment does not match the flow field structure, affecting water quality exchange efficiency and the accuracy of control response.

Method used

The feeding feedback control module obtains the residual bait image and calculates the residual density. The feeding time is adjusted in combination with the feeding rhythm adjustment module. The water disturbance zoning module identifies the disturbance area, and the fish activity density image is combined to identify the low-oxygen area, generate the aquaculture control node, build the equipment series network, and realize dynamic control.

Benefits of technology

It improves the adaptability of feeding rhythm, enhances the dimension of expressing dynamic information of water bodies, ensures that the linkage response of equipment covers key areas, and improves the adaptability and accuracy of aquaculture control.

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Abstract

The invention relates to the technical field of automatic control, in particular to an intelligent aquaculture automatic control system which comprises a feeding feedback control module, a feeding rhythm allocation module, a water body disturbance partition module, a control unit recognition module and a control path construction module. According to the method, the bait residue density is quantified through image recognition, a feeding state dynamic judgment mechanism is constructed, the accuracy and timeliness of feeding response are improved, the feeding speed is calculated through linkage of time difference and density change, a rhythm allocation strategy based on behavior feedback is formulated, the matching degree of the feeding rhythm to the actual feeding ability is enhanced, and the feeding speed is increased. A main flow path continuous block is constructed by combining flow velocity and flow direction, disturbance levels are marked in a grading manner, a key equipment action area is judged according to cross of fish school active density and dissolved oxygen trend, and an equipment linkage path is constructed by connectivity of a physical channel and an inhabitation area. And an intelligent control scheme of cooperative linkage of ingestion behavior driving, disturbance partition recognition and space layout optimization is realized.
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