A three-dimensional data encoding and storing method for massive ocean environment data management

Abstract

The invention belongs to the technical field of ocean space information organization, space data management and space indexing, and particularly relates to a three-dimensional data coding and storagemethod for massive ocean environment data management. The method comprises the steps of obtaining the longitude, latitude and depth ranges of to-be-processed marine environment data; setting the resolution required by the subdivision of the to-be-processed data; performing subdivision processing on the environment element data according to the resolution to form data sets, wherein each data set comprises various kinds of environment element information of a minimum unit; encoding each data set by using an encoding scheme to serve as a spatial index number; and correspondingly storing the indexnumber and the data set containing the environment element information into a database. According to the present invention, the global marine environment data storage mode is unified, data sets withdifferent resolutions can be provided according to user requirements, data redundancy is reduced, the data utilization rate is increased, and the designated space range can be accurately positioned, so that the efficient data extraction of the designated area is facilitated.

Description

technical field [0001] The invention belongs to the technical fields of marine spatial information organization, spatial data management, and spatial indexing, and specifically relates to a three-dimensional data encoding and storage method for massive marine environmental data management. Background technique [0002] The global high-resolution spatio-temporal multi-scale ocean reanalysis product set includes seawater temperature, salinity, density, sound velocity, ocean current and other marine environmental elements. The rate is 9 kilometers, the vertical is divided into 50 layers, and the time resolution is 8 hours per day, that is, output once every 3 hours. It is a massive data set that is not less than 30 years and updated year by year. Due to the complexity and size of the data sets and the large differences in the format and types of data, the simple storage method for massive ocean space information can no longer meet the needs of development. How to quickly and ac...

AI Technical Summary

Problems solved by technology

However, the current research work is mainly focused on solving the general problems of data management. For the massive data sets of long-term marine reanalysis products, the existing methods are not conducive to the effective storage of data and the efficiency of positioning and extraction is slow, which cannot meet the global high-level requirements. Resolve and reanalyze the mass data sets of products to achieve the requirements of effective unified storage and fast and accurate positioning

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