首页|期刊导航|航空学报|低空协同智能体系架构与关键技术

低空协同智能体系架构与关键技术OA

Architecture and key technologies of low-altitude cooperative intelligence

中文摘要英文摘要

面向低空经济发展需求,低空飞行器在物流配送、城市监管、应急救援和低空作战等场景中的规模化应用,对低空网络的感知、通信、计算与智能提出了更高要求.针对传统地面网络在三维高动态空域中存在的覆盖不足、链路易断、协同效率低及端侧资源受限等问题,综述了面向第六代移动通信技术(6G)空天地一体化网络的低空协同智能体系架构与关键技术.首先,阐释端云双适架构及其任务流、知识流并行耦合的运行机制;其次,系统梳理跨域协同感知、异构动态组网、协同计算与分布式决策、协同学习等关键技术的研究进展;进一步结合低空黑飞无人机监视、低空网络安全覆盖与弹性信息保障、低空网络作战等典型场景,归纳低空协同智能的应用需求与共性挑战.分析表明,低空协同智能面临的关键问题主要集中于感知可信、连接连续、决策稳定与持续学习等方面.

Facing the development demands of the low-altitude economy,the large-scale application of low-altitude aircraft in scenarios such as logistics distribution,urban supervision,emergency rescue,and low-altitude operations places higher requirements on the perception,communication,computing,and intelligence of low-altitude networks.Addressing the issues of insufficient coverage,fragile links,low coordination efficiency,and limited edge resources in traditional terrestrial networks within three-dimensional high-dynamic airspace,this paper reviews the low-altitude col-laborative intelligence architecture and key technologies for the 6th Generation of Mobile Communication System(6G)space-air-ground integrated networks.First,it explains the operation mechanism of the dual end-cloud adaptive archi-tecture and its parallel coupling of task flows and knowledge flows;next,it systematically reviews the research prog-ress on key technologies such as cross-domain collaborative perception,heterogeneous dynamic networking,collab-orative computing and distributed decision-making,and collaborative learning;further,by combining typical scenarios such as surveillance of unauthorized low-altitude drones,low-altitude network security coverage and resilient informa-tion assurance,and low-altitude network operations,it summarizes the application requirements and common chal-lenges of low-altitude collaborative intelligence.The analysis indicates that the key issues faced by low-altitude collab-orative intelligence mainly concentrate on perception trustworthiness,connection continuity,decision stability,and continuous learning.

董超;经宇骞;尤嘉豪;吴佳婧;金宏辉;冯伟

南京航空航天大学 电子信息工程学院,南京 211106||电磁频谱空间动态认知系统工业和信息化部重点实验室,南京 211106南京航空航天大学 电子信息工程学院,南京 211106||电磁频谱空间动态认知系统工业和信息化部重点实验室,南京 211106南京航空航天大学 电子信息工程学院,南京 211106||电磁频谱空间动态认知系统工业和信息化部重点实验室,南京 211106南京航空航天大学 电子信息工程学院,南京 211106||电磁频谱空间动态认知系统工业和信息化部重点实验室,南京 211106南京航空航天大学 电子信息工程学院,南京 211106||电磁频谱空间动态认知系统工业和信息化部重点实验室,南京 211106清华大学 电子工程系 空间网络与通信国家重点实验室,北京 100084

航空航天

低空经济低空智联网无人机协同智能端云双适

low-altitude economylow-altitude intelligent networkunmanned aerial vehiclescollaborative intelligencedual adaptation of edge and cloud

《航空学报》 2026 (18)

1-30,30

国家自然科学基金(62541104,62425110) National Natural Science Foundation of China(62541104,62425110)

10.7527/S1000-6893.2026.33756

评论