Marine big data collection and metadata management method

Abstract

The invention discloses a marine big data collection and metadata management method. The method comprises the following steps of step1, through an artificial way, collecting marine big data, and sending a staff to a sea side for inspection and data collection; step2, carrying out fusion arrangement on collected marine data by the staff and acquiring a specific marine data content report; and step3, arranging and analyzing the corresponding marine data content report, analyzing the data by an expert in the field and conveniently acquiring the conclusion of the marine data. In the invention, a user can conveniently inquire and know the marine data through Internet of things; through the Internet of things, interaction among the marine data can be performed, the marine data can be updated inreal time and a corresponding marine data content is timely supplemented; and the deficiencies of the corresponding marine data are made up, the usage of the marine data is improved, the marine data can conveniently perform effects and the value of the marine data is presented.

Description

technical field [0001] The present invention relates to the technical field of xxx, in particular to a method for collecting marine big data and managing metadata. Background technique [0002] Marine data are vast. It covers seabed topographic data, ocean remote sensing data, ship survey data, buoy data, model assimilation data and many other aspects. These marine data are characterized by mass, multi-category, ambiguity, and spatial-temporal process. The original marine data cannot be directly used for analysis and mining, so the data must be cleaned, converted, selected and pre-processed before data mining. Subsequent marine data mining, commonly used algorithms include regression algorithms, statistical analysis, cluster analysis, association rule mining, etc. Linked data mining can effectively discover the underlying laws of data; cluster analysis is a kind of unsupervised learning that does not depend on pre-defined classes and training data with class labels, and r...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for ocean big data collection and metadata management, which has the advantages of data collection, collection, analysis, classification, management, storage and network transmission, and solves the inconvenience of ocean data collection and management, making ocean data Problems that cannot reflect its supposed role and value

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