A method, device and equipment for monitoring changes in sea time and space for aquaculture and a storage medium

By super-resolution reconstruction of marine boundary data and analysis of NetCDF data, combined with the centroid method and geographic weighted regression model, the problem of high frequency and high efficiency in monitoring the spatiotemporal changes of marine aquaculture facilities was solved, realizing high-frequency and economical monitoring of marine aquaculture use.

CN122345384APending Publication Date: 2026-07-07GUANGZHOU MARINE GEOLOGICAL SURVEY SANYA SOUTH CHINA SEA INST OF GEOLOGY +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGZHOU MARINE GEOLOGICAL SURVEY SANYA SOUTH CHINA SEA INST OF GEOLOGY
Filing Date
2026-06-09
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing technologies are insufficient for high-frequency, cost-effective monitoring of the spatiotemporal changes of marine aquaculture facilities, especially in deep-water, offshore areas. Traditional remote sensing image monitoring is not timely enough, manual visual interpretation is time-consuming and labor-intensive, and artificial intelligence technology lacks in-depth research on marine hydrological data in the monitoring of marine patches used for aquaculture, leading to frequent identification errors and omissions.

Method used

Through super-resolution reconstruction based on target sea area boundary data, the centroid method is used to calculate the centroid point and convex boundary geometry of aquaculture facilities. Combined with NetCDF ocean current multidimensional data technology, the NetCDF ocean current multidimensional data is analyzed, and NetCDF wind field multidimensional data is analyzed to generate wind speed value vector field raster. Combined with a geographic weighted regression model, the spatiotemporal changes of aquaculture facilities are monitored.

Benefits of technology

It has enabled high-frequency and accurate monitoring of the spatiotemporal changes of marine areas used for aquaculture, improving monitoring efficiency and accuracy, reducing manpower and costs, and meeting the high timeliness requirements of routine monitoring.

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Abstract

The application discloses a sea area change monitoring method, device and equipment and a storage medium, and relates to the technical field of sea area monitoring. The method comprises the following steps: performing super-resolution reconstruction based on target sea area boundary data at a set monitoring frequency to obtain remote sensing images of the target sea area; extracting scattered planar vector patches of culture facilities from the remote sensing images; determining culture range patches of the culture facilities according to the outer convex surface boundary geometry of the midpoint element patch in the scattered planar vector patch; analyzing NetCDF sea current multidimensional data, generating format grid sets including different direction flow rates and wind speed value vector fields according to the step length of the set monitoring frequency; determining a regression coefficient map according to the spatial relationship between the different direction flow rates and the wind speed, and monitoring the culture facilities by using the regression coefficient map. The application takes into account the influence of flow rates, flow directions and wind speeds on the position distribution of the culture facilities, and can efficiently and accurately monitor the temporal and spatial changes of the culture sea area by combining the analysis of the NetCDF data.
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