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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Research on Intelligent Task Management and Control Mode of Space Information Networks Based on Big-Data Driven
verfasst von : Xiaogang Yu, Qi Wang
Erschienen in: Space Information Networks
Verlag: Springer Singapore
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Abstract
The space information networks provide a rich space, time, frequency spectrum resources, meet all kinds of scene mission requirements, especially the rapid development of information technology and the interaction of human life fusion, and the global data presents the characteristics of explosive growth and massive convergence, artificial intelligence has advantages such as flexibility, adaptability and low robustness in the direction of information fusion. On the basis of studying the framework of space-based information network, an integrate task management and control mode based on big-data driven space-based information networks and Internet of things is proposed. Artificial intelligence technology is used to solve the problem of the front-end requirements of task management and control, and the ratio of resource utilization to actual profit of joint information network load points is improved, at the same time, it lays a foundation for realizing autonomous task planning.