Design of the Architecture and Algorithms for 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. Key technologies to potentially address the demands of this mission include a multi-station Level 0 data fusion algorithm, a data quality assessment algorithm based on orbit and observation number, and a Level 1A science data product processing algorithm for the Gamma Ray Monitor payload. A layered and modular system architecture can support end-to-end automated processing, distribution, archiving, and publication of satellite downlink data across four transmission channels (X-band, S-band, very high frequency, and BeiDou). In-orbit operational validation shows that the system achieves excellent performance in stability, high throughput, and robust adaptability to mission dynamics.
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