Space science and application data retrieval method, system, medium and device

Abstract

The invention relates to a space science and application data retrieval method and system, a medium and a device, and the method comprises the steps of obtaining a fuzzy range coding set according toa retrieval range framed and selected in a map base map; acquiring data of Geohash codes of longitude and latitude of the central point in a fuzzy range code set from a database to form a fuzzy rangedata set; judging whether the longitude and latitude of the central point of each piece of data in the fuzzy range data set are within a retrieval range or not, and if yes, selecting the piece of datainto an accurate range data set; and screening the data in the accurate range data set according to a set retrieval condition to obtain a retrieval result data set. According to the method, the retrieval efficiency is improved, meanwhile, a large amount of storage resources and computing resources are saved, and the efficient conditional query of mass space science and application data is achieved.

Description

technical field [0001] The invention relates to the field of electronic maps, in particular to a space science and application data retrieval method, system, medium and equipment. Background technique [0002] With the rapid development of space science and application technology and the long-term stable orbital operation of aircraft, the amount of downlink data collected by space science experiments (tests) is growing explosively. Although a strict and mature management and control mechanism has been formed for the collection, downlink, processing, and archiving of space science and application data, due to the variety of data types, complex matching of data sets, and early data opening restrictions, the distribution and sharing of space science and application data in my country The work still stays in the traditional inefficient distribution mode of disk array storage, relational database SQL retrieval, B / S mode browsing and sharing. With the improvement of the resolution...

AI Technical Summary

Problems solved by technology

However, this method has the following disadvantages: On the one hand, for non-professional users who cannot determine the accurate information of the required data, it is difficult to obtain accurate data

On the other hand, relational databases are gradually unable to meet the needs of complex types of massive structured, semi-structured and unstructured space science and application data for efficient retrieval, parameter expansion, and flexible expansion.

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