摘要
针对统筹卫星资源、实现高效规划等核心问题,总结了对地观测卫星智能任务规划关键技术及典型应用.首先,定义了对地观测卫星任务规划问题及智能任务规划技术,从系统工程的角度对问题的特点和难点进行了梳理.然后,按照求解手段与智能化水平,将技术的发展历程划分为三个阶段:早期依赖经典运筹学与人工主导;中期现代优化算法极大发展,初步实现多星协同与大规模问题优化;当前,人工智能技术与优化算法深度融合,有效支撑了复杂场景的自适应任务规划.其次,从需求挖掘、资源任务建模、求解算法、评估仿真和自主在线协同等五个方面,总结了对地观测卫星智能化管控的五项核心关键技术.在此基础上,分析了对地观测卫星智能任务规划技术在高分、陆地、高景和灵知等国家重大专项中的应用实践情况.最后,讨论了对地观测卫星智能任务规划的未来趋势,需深化大模型与智能优化的融合研究,搭建以智能优化为核心的卫星星座算法演进平台等发展研究方向.
This paper addresses the core challenges of satellite resource coordination and efficient planning,summarizing the key technologies and applications of intelligent task planning.First,it defines the task planning problem and outlines the characteristics and challenges from a systems engineering perspective.Then,it divides the development of this technology into three stages:early reliance on classical operations research with manual control;mid-stage use of modern optimization algorithms for multi-satellite coordination and large-scale optimization;and current integration of artificial intelligence and advanced algorithms to support adaptive planning in complex environments.Second,it identifies five core technologies for intelligent satellite management across demand mining,resource-task modeling,solution algorithms,evaluation and simulation,and autonomous coordination.Based on this,it reviews the application of intelligent task planning in major national programs such as Gaofen,Land,Gaojing,and Lingzhi.Finally,it explores future trends,including deeper integration of AI,enhanced autonomy,and broader application scenarios.
作者
谭跃进
姚锋
白保存
杜永浩
黎磊
Tan Yuejin;Yao Feng;Bai Baocun;Du Yonghao;Li Lei(College of Systems Engineering,National University of Defense Technology,Changsha 410073,China;Military Space Force Equipment Project Management Center,Beijing 100094)
出处
《系统工程学报》
北大核心
2025年第5期706-716,共11页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(72201272)
中国科协青年人才托举工程资助项目(2023-JCJQ-QT-042).
关键词
对地观测卫星
智能任务规划
卫星资源
人工智能
earth observation satellites
intelligent task planning
satellite resources
artificial intelligence
