Progressive and scalable space-based intelligent information system architecture based on edge cloud

For the autonomous operation of space science experiments on orbit, the intelligent level of information processing on orbit has been improved, and an all space based intelligent processing architecture based on end edge edge cloud collaboration has been constructed. The architecture can be compatible with the space ground collaboration. It realizes multi-source data acquisition and pre-processing through the realization of the experimental terminal. The information system control center host as the edge node completes the real-time analysis and independent decision-making of important data. By expanding the space-based intelligent computing service platform as the edge cloud to provide centralized computing pool and global intelligent processing resource scheduling, it forms a progressive and extensible intelligent information processing system with two-level closed-loop of on orbit task planning and experimental control. This paper discusses the architecture design, general model, intelligent processing algorithm and verification system under space constraints to provide a technical paradigm for the autonomous operation of space science on orbit.