Cloud computing and data virtualization-based weather satellite data processing system

Abstract

The invention discloses a cloud computing and data virtualization-based weather satellite data processing system. A proposed data resource pool solves the problems of massive satellite data storage and computation, and solves the problems of massive satellite data storage and time-space coherence of satellite data storage; a time-space attribute is a most basic attribute of weather satellite dataand also a most complex attribute of the weather satellite data, and is a difficult point of a storage scheme; in storage system and scheme design, the time-space attribute of a satellite can be constructed and identified through a file name, a key, a file directory, an URI and the like in a unified environment; the satellite data can be subjected to virtualization operations of extraction, reconstruction, mapping and the like according to a time-space scale of storage and application; rich data views are provided; and based on the data views, the system can finish complex weather satellite data computing and processing. Therefore, the great convenience is brought for application of the weather satellite data.

Description

technical field [0001] The invention relates to the field of computer systems, in particular to a meteorological satellite data processing system based on cloud computing and data virtualization. Background technique [0002] All the work of weather forecast is based on a large amount of extensive monitoring data. With the development and progress of technology, satellites are becoming the most important means of monitoring. However, for a long time, the massive data obtained by meteorological satellites lack effective technical means. The application is difficult and the usage rate is very low, resulting in a lot of data waste. [0003] Meteorological satellite data has many types, large quantities, and various formats, and consumes high storage resources. The processing and calculation of meteorological satellite data is also very complicated and professional work. At present, the use of meteorological satellite data is basically that users download data from data storage...

AI Technical Summary

Problems solved by technology

Among these two methods, the former requires a huge workload and resource support, while the latter lacks flexibility, and users cannot process satellite data to generate products according to their needs. This method is limited to the simple distribution of mature products, and because only Using local resources to process data can only process very limited data, and cannot meet the needs of massive satellite analysis, research, and individual processing; from a technical point of view, the current systems are not built using advanced technologies such as big data and cloud computing Complete meteorological satellite data and product processing system, which limits the use of meteorological satellite data

[0004] According to the search, there are currently some patent applications for big data platforms involving remote sensing satellite processing (such as remote sensing satellite big data processing systems and methods based on cloud computing platforms), and a method and processing logic for responding to services are proposed. Algorithm support required for meteorological satellite data processing, which is the key technology of the meteorological satellite big data platform

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