语义描述驱动的启明星一号自主任务规划方法

Semantic Description Driven Autonomous Mission Planning Method for QMX-1

卫星任务规划是合理配置卫星资源,获取有效数据的重要途径。针对启明星一号卫星在无用户观测需求时存在的资源浪费问题,提出一种语义描述驱动的启明星一号自主任务规划方法。首先通过分析对地观测目标的特征及其对遥感数据的需求特点,构建了全球任务语义描述模型,为卫星的自主任务规划提供了基础数据库。然后基于该描述模型,设计了一种卫星自主任务规划方法,通过构建任务规划模型,能够实现对高价值目标的自主规划,提高卫星数据获取效率,最大程度地发挥卫星的在轨应用价值。最后基于启明星一号对该模型进行了方案验证,证明了该方法的可行性,可适用于不同类型遥感卫星,在未来遥感星群实时智能服务应用中能够发挥一定的价值。

Objectives:Satellite mission planning is an important way to rationally allocate satellite resources and obtain effective data.In order to solve the problem of resource waste in the absence of user demand for Qimingxing-1(QMX-1),we proposed a semantic description driven autonomous mission planning method for QMX-1.Methods:By analyzing the characteristics of earth observation targets and their requirements for remote sensing data,we have construct a semantic description model for global tasks and form a global earth observation target database.Based on the description model,we design a satellite autonomous mis⁃sion planning method.By building a mission planning model,we can achieve autonomous planning for high-value targets and maximize the value of satellite in orbit applications.Results and Conclusions:We verifyed the proposed model based on the QMX-1 and proved the feasibility of the method in this paper.The model is applicable to different types of remote sensing satellites and can play a certain value in the fu⁃ture remote sensing constellation real-time intelligent service applications.