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Journal of System Simulation

Abstract

Abstract: Based on the needs of China's space science strategy and series of on-orbit and forthcoming satellite missions in China's Strategic Priority Program on space science, data processing framework and key technologies of the satellite ground segment are studied. A general technical framework SDPF (space science satellite data processing framework) is proposed with two-layer scheduling engine, including mission-level and resource-level. The design and implementation of an automatic, efficient, real-time and standard space science satellite data processing system has been established. In this way, complicated processing procedures on large-scale data from multi-satellite missions and multi-payload can be completed quickly in parallel. It shows good application effects in terms of data processing capabilities, computing resource planning, reliability in response to failures, flexibility and scalability, andcan also provide some ideas for system design in other fields.

First Page

1605

Revised Date

2021-05-07

Last Page

1618

CLC

TP391

Recommended Citation

Wenzhen Ma, Ziming Zou, Jianhui Li, Qinsi Yu, Jizhou Tong, Jingjing Li. Space Science Satellite Data Processing Framework Research and System Implementation[J]. Journal of System Simulation, 2022, 34(7): 1605-1618.

DOI

10.16182/j.issn1004731x.joss.21-0133

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