A kind of method and system for three-dimensional modeling of deep water net cage fish population based on sonar

By deploying multibeam sonar on the top and sides of the net cage and combining global and local point cloud data, the problem of detection blind spots in the construction of three-dimensional models of deep-sea aquaculture fish schools was solved, realizing accurate reconstruction and visualization of the three-dimensional model of the fish school and supporting refined management.

CN121661257BActive Publication Date: 2026-07-24GUANGDONG OCEAN UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG OCEAN UNIVERSITY
Filing Date
2025-12-11
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing sonar detection methods cannot solve the problems of limited detection range and blind spots, resulting in inaccurate construction of three-dimensional models of deep-sea aquaculture fish schools, which makes it impossible to achieve refined and intelligent management.

Method used

Multibeam sonar is deployed on the top of the cage to acquire global 3D point cloud data, and multibeam sonar probes are deployed on the sides of key depth layers to acquire local 2D point cloud data. The fusion mechanism of global 3D point cloud and local 2D point cloud is combined to perform 3D reconstruction and visualization.

Benefits of technology

It achieves completeness and accuracy in the three-dimensional model of fish swarms in deep-sea cage culture, improves the reliable analysis capabilities of fish population, distribution, behavior and health status, and supports accurate assessment and safety management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of data processing, and provides a kind of based on sonar's deep water net cage cultured fish school three-dimensional modeling method and system, by being arranged in the top geometric center position of target net cage multiple-beam sonar obtains global three-dimensional point cloud data, is arranged in multiple key depth layers of target net cage multiple multiple-beam sonar probe obtains local two-dimensional point cloud data, and according to the content information between global fish school three-dimensional point cloud data and each local fish school three-dimensional point cloud data based on the conversion of preset net cage topological coordinate system determines each fusion scheme, executes each fusion scheme and obtains target fish school three-dimensional point cloud data, and according to target fish school three-dimensional point cloud data carries out three-dimensional reconstruction and obtains fish school three-dimensional model and carries out visual display.The present application can not only guarantee the integrity of net cage water global space detection, but also can ensure the accuracy of local detail detection, effectively improve the reconstruction quality and visual display effect of fish school three-dimensional model.
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