Design of the EP Satellite Data Preprocessing and Distribution Service Platform

Along with the development of space exploration technology and the communication methods between satellite and the Earth, the requirements for the efficiency of data transmission and processing in astronomical missions are increasing day by day. The article introduces the design and implementation of a data preprocessing and distribution platform, which focuses on the processing and distribution requirements of various types of data in the Einstein Probe (EP) mission. The EP mission downlinks data via four different channels, including X-band, S-band, VHF channel, and Beidou channel. For each data channel, the data processing methods and efficiency requirements are different, such as the VHF and Beidou data needs to be processed in real-time, the X-band data needs to be processed comprehensively by different types of data packets. During the development process, the key technologies of the EP satellite data preprocessing and analysis platform have been studied. At the meanwhile, several key algorithms have been designed, such as the level 0 data processing method, level 1 data processing method and data product integrity interpretation based on observation organization. Especially, regarding the high timeliness requirements for the release of astronomical alert information in VHF data and Beidou short messages, different priority data preprocessing and distribution workflows were designed. The EP mission data preprocessing and distribution service platform adopts a hierarchical architecture design. The application results indicate that the platform has the ability to preprocess, manage and distribute various types of data in EP mission automatically, efficiently, and accurately. The operational process of the platform supports the different processing flows for different data products and simultaneous data distribution and acquisition for multiple users. The platform has good scalability and efficiency. The various levels and types of scientific data products processed by the platform have high accuracy, can satisfy the application requirements of EP scientific teams.