A method and system for constructing an ocean environment index based on dynamic blocking

By employing dynamic block partitioning and hierarchical indexing techniques, the problems of dimensionality curse and low storage efficiency in high-dimensional marine data management by traditional indexing methods have been solved, achieving efficient marine data storage and fast querying.

CN122332589APending Publication Date: 2026-07-03709TH RESEARCH INSTITUTE CHINA STATE SHIPBUILDING CORP LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
709TH RESEARCH INSTITUTE CHINA STATE SHIPBUILDING CORP LTD
Filing Date
2026-03-30
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Traditional indexing methods suffer from problems such as the curse of dimensionality, low storage efficiency, and high index maintenance costs in the management of high-dimensional marine data, especially when the spatiotemporal distribution is uneven and dynamic incremental data is updated.

Method used

A marine environment indexing construction method based on dynamic block partitioning is adopted. Through dynamic grid partitioning, weight value calculation, spatiotemporal coding and hierarchical index structure, a globally unique index key is generated. Combined with time sliding window aggregation and cold and hot data migration technology, the storage and query performance of marine data is optimized.

Benefits of technology

It effectively avoids the dimensionality curse, improves storage efficiency, reduces index maintenance costs, and achieves efficient marine data management and fast retrieval.

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Abstract

The application belongs to the technical field of marine environment data management, and specifically discloses a marine environment index construction method and system based on dynamic block division. The method comprises the following steps: collecting multi-dimensional marine data; performing dynamic grid division based on the three-dimensional space features of the marine data to generate a 3D stereoscopic grid; calculating the weight value corresponding to the grid according to the number of data points in the grid, the grid space range and the data time span, splitting or merging the grid by combining the weight value with the weight threshold, so as to realize dynamic block division of the 3D stereoscopic grid; performing normalization processing on the space-time coordinates in the 3D stereoscopic grid, and generating linearized space-time encoding keys through space-filling curve encoding; performing weighted hash operation on the environmental parameters and the preset weight parameters to generate a parameter hash value, and splicing and compressing the space-time encoding keys and the parameter hash value to generate a globally unique index key. Through the application, efficient storage and rapid retrieval of high-dimensional marine data are realized.
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