上海航天（中英文）2025，Vol.42Issue(z1)：36-44,9.DOI:10.19328/j.cnki.2096-8655.2025.S1.005
基于数字孪生的遥感卫星密集任务规划方法
A Dense Task Planning Method for Remote Sensing Satellites Based on Digital Twin
刘王佳 1曹京 1李贞 1田贺祥 1赵志伟 1刘可鑫 2杨若楚 2张学桐 3李天4
作者信息
- 1. 中国空间技术研究院 遥感卫星总体部,北京 100094
- 2. 哈尔滨工程大学 航天与建筑工程学院,黑龙江 哈尔滨 150006
- 3. 西安电子科技大学 空间科学与技术学院,陕西 西安 710126
- 4. 北京航空航天大学 宇航学院,北京 100191
- 折叠
摘要
Abstract
In dense imaging task scenarios,traditional remote sensing satellite task planning methods mainly focus on imaging task scheduling.They can only estimate the constraints of energy and data transmission,which leads to significant errors and an inability to fully exploit the satellite's potential.This study proposes a dense task planning method for remote sensing satellites based on digital twin technology.By using the digital twin mirror to simulate the task scenario,the satellite's attitude data is obtained synchronously during task planning,and the power supply and distribution status of the satellite is accurately calculated.The writing and erasing processes of the solid-state storage are simulated in combination with the available data transmission arcs and task execution conditions,enabling precise estimation of data balance throughout the entire process.Based on the simulation results of energy and data transmission,continuous iteration of task planning is carried out to solve the maximum task execution capability that meets the task requirements under complex constraints.Compared with traditional methods,this method can significantly improve the utilization efficiency of satellites.关键词
遥感卫星/任务规划/数字孪生/任务管控/效能Key words
remote sensing satellite/task planning/digital twin/task management/efficiency分类
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刘王佳,曹京,李贞,田贺祥,赵志伟,刘可鑫,杨若楚,张学桐,李天..基于数字孪生的遥感卫星密集任务规划方法[J].上海航天（中英文）,2025,42(z1):36-44,9.
