Architecture and Algorithms Design of the SVOM Satellite Data Processing and Management System
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Abstract
The Space-based multi-band astronomical Variable Objects Monitor (SVOM) mission requires a scalable and efficient data processing and management system to support multi-band data processing, storage, sharing, and operational monitoring. In response to the SVOM mission's demands, this paper investigates key technologies for data processing algorithms, including multi-station Level 0 data fusion algorithm, data quality assessment algorithm based on orbit and observation number, and Level 1A science data product processing algorithm for the GRM payload. A layered and modular system architecture is designed and implemented to support end-to-end automated processing, distribution, archiving, and publication of satellite downlink data across four transmission channels (X-band, S-band, VHF, and BeiDou). In-orbit operational validation demonstrates that the system achieves excellent performance in stability, high throughput, and robust adaptability to mission dynamics.
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