关键词: 星群, 智能服务, 任务本体描述, 任务规划, 在轨处理

Abstract: The all-day, all-weather and global real-time intelligent service of remote sensing information is the goal of earth observation system construction. In recent years, with the development of domestic high-scoring special projects and commercial satellites, the number of on orbit satellites has increased dramatically, and the earth observation capability has been greatly enhanced, which makes the operation control, reception, processing and application service mode of the traditional single satellite and constellation satellite systems face severe challenges. It is urgent to plan the resources of all aspects of satellite application, give full play to the advantages of multi-satellite collaboration, and build a unified remote sensing images real-time intelligent service system. According to the characteristics of remote sensing constellation satellite system and the demand characteristics of earth observation users, this paper studies the key problems of remote sensing image intelligent service for constellation. This paper proposed a task oriented global multi-scale semantic description grid to coordinate the global dynamic and static task semantic description. On this basis, it focuses on the key technical problems such as autonomous task management, intelligent planning and multi satellite collaborative intelligent service. Formed a constellation intelligent service technology system integrating mission control, mission planning, on-orbit processing, data download and distribution. By giving full play to the advantages of constellation collaboration, combining on-orbit processing and artificial intelligence technology to reduce the time delay of each link and improve the data processing accuracy. So as to achieve fully automated and intelligent near real-time constellation intelligent services, and lay the foundation for all-day, all-weather, fast and efficient intelligent services for earth observation.

Key words: constellation, smart service, task ontology description, mission planning, on-orbit processing