Abstract

After decades of development, the Satellite Control Center (SCC) has accumulated massive spacecraft telemetry data including all history information of on-orbit working status data of satellites and spaceships. The current SCC system adopts the architecture of a relational database mounted by NAS to manage data. In recent years, with more refined management of on-orbit satellites, the long-term trend analysis of satellite telemetry data is needed on qualitative quantitative analysis of satellite components’ performance, satellite failure status and so on. The performance of the current database system is poor, and the big data processing capacity is limited, which is difficult to meet engineering requirements. With the rapid development of the big data technology, a series of processing architectures adapting to mass data are generated, which provide the technical approach for solving the problem of telemetry data analysis and mining. The paper designs the satellite telemetry data storage and analysis architecture based on HBase, which is the first time to introduce the non-relational database into the design of SCC database, breaks through the current system bottlenecks. The prototype experiment shows that it is able to realize the second level response of telemetry data extraction and analysis in condition of the large time span, which has a significance for further engineering application.

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