小卫星智能化技术发展展望  

Development Prospects of Intelligent Technology for Small Satellites

在线阅读下载全文

作  者:崔玉福[1] 刘质加[1] 贾晓冬[1] 师皓[2] 谢凤英[3] 王靖[1] 李志刚[1] 张少坡 李国军[1] 刘元默[1] 邱增帅 CUI Yufu;LIU Zhijia;JIA Xiaodong;SHI Hao;XIE Fengying;WANG Jing;LI Zhigang;ZHANG Shaopo;LI Guojun;LIU Yuanmo;QIU Zengshuai(DFH Satellite Co.,Ltd.,Beijing 100094,China;School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China;School of Astronautics,Beihang University,Beijing 100191,China)

机构地区:[1]航天东方红卫星有限公司,北京100094 [2]北京理工大学信息与电子学院,北京100081 [3]北京航空航天大学宇航学院,北京100191

出  处:《航天器工程》2024年第5期1-8,共8页Spacecraft Engineering

摘  要:随着人工智能、大数据、云计算、物联网等技术在各领域应用日趋深入,航天技术也取得了迅猛发展,基于复杂任务的体系智能化、星座智能化发展成为航天新趋势。未来小卫星将向“新、小、快、灵、智、多、省、好”等方向发展,通过人工智能、数字孪生等技术实现智能化,以适应小卫星星座化、体系化发展需求。文章为应对未来小卫星快速发展需求,提出了星座化、体系化发展下小卫星特点与智能化需求,探讨了新形式下小卫星智能化发展转型,并给出了小卫星智能化发展建议。With the increasingly application of technologies such as Artificial Intelligence,big data,cloud computing,and the Internet of Things in various fields,aerospace technology has also achieved rapid progress.The intelligent development of systems and constellations based on complex tasks has become a new trend in aerospace.Future small satellites will develop towards“new,small,fast,agile,intelligent,multiple,economical,and efficient”directions,and achieve intelligence through technologies such as artificial intelligence and digital twins to meet the needs of small satellites constellation and systematic development.To address the future rapid development needs of small satellites,the characteristics and intelligence requirements of small satellites under constellation and systematic development are proposed,the intelligent development transformation of small satellites under new forms is explored,and the suggestions are provided for the intelligent development of small satellites.

关 键 词:小卫星 智能化技术 大数据 数字孪生 

分 类 号:V57[航空宇航科学与技术—航空宇航推进理论与工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象