Mass telemetry cluster storage and autonomous health assessment system of spacecraft control system in orbit

JunLiang Cai; DaWei Li; Ye Ji; YuJia Zhang; Fan Yang; Xiao Chang

doi:10.1117/12.2670663

8 March 2023 Mass telemetry cluster storage and autonomous health assessment system of spacecraft control system in orbit

JunLiang Cai, DaWei Li, Ye Ji, YuJia Zhang, Fan Yang, Xiao Chang

Author Affiliations +

Proceedings Volume 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022); 125860M (2023) https://doi.org/10.1117/12.2670663
Event: Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 2022, Xiangtan, China

Abstract

During the operation of spacecraft control system in orbit, a large amount of telemetry data will be generated. These data can characterize the operation performance of spacecraft control system and have high analytical value, which can identify the health status and operation performance of spacecraft from the telemetry in orbit. This paper presents a cluster storage system and an autonomous health assessment system. Simulation analysis and practical application show that the system supports the efficient storage of more than 800 spacecraft telemetry data, realizes the data elimination of 99.3% accuracy, realizes the fault self-diagnosis of 98.7% accuracy, can complete a comprehensive health assessment of the spacecraft in 3.5 seconds, and automatically generates the evaluation report.

Citation Download Citation

JunLiang Cai, DaWei Li, Ye Ji, YuJia Zhang, Fan Yang, and Xiao Chang "Mass telemetry cluster storage and autonomous health assessment system of spacecraft control system in orbit", Proc. SPIE 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 125860M (8 March 2023); https://doi.org/10.1117/12.2670663

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