摘要
系统性地研究了智能赋能空间分布式探测技术,从系统工程的视角分析了空间分布式探测任务所面临的多层级技术挑战,并指出了传统探测方法在空间分布式探测中应用的局限性。针对复杂的空间分布式探测任务,创新性地提出了基于人工智能和数字孪生等技术手段的智能赋能关键技术,为航天器工程向“数据驱动”和“主动优化”方向转型提供了可行的实现路径。研究成果可为未来深空探测、遥感观测及空间安全等任务的智能化发展提供参考。
This article conducts a systematic research on intelligent enabled space distributed detection technologies.From a system engineering perspective,it analyzes the associated multi-level technical challenges faced by space distributed detection tasks,and identifies the limitations of traditional detection methods in their application to space distributed detection.For complex space distributed detection tasks,this article innovatively proposes key intelligent enabled technologies based on artificial intelligence and digital twin techniques.These technologies provide feasible implementation paths for the transformation of spacecraft engineering toward“data-driven”and“actively optimized”directions.The research findings can provide references for the intelligent development of future deep space exploration,remote sensing observation,and space security missions.
作者
林晨
闻子涵
张瑞雪
蒋怡
朱焌文
朱子琦
LIN Chen;WEN Zihan;ZHANG Ruixue;JIANG Yi;ZHU Junwen;ZHU Ziqi(Beijing Institute of Spacecraft System Engineering,Beijing 100094,China)
出处
《航天器工程》
北大核心
2025年第6期31-38,共8页
Spacecraft Engineering
基金
国家自然科学基金(62305021)。
关键词
人工智能
智能赋能
空间分布式探测
artificial intelligence
intelligent enablement
space distributed detection
