摘要
机载系统正在向着综合化、智能化、自动化的方向发展,系统的综合化通常采用系统交联的方式实现,系统之间交联关系复杂,电缆数量多,增加了全机的复杂性,对机载系统硬件资源提出了非常高的要求,出现了机载系统综合化需求高与硬件资源升级速度慢的矛盾,机载系统智能化的需求也在不断发展。提出一种机载系统分布式云—边—端智能架构方案,该架构融合应用云—边—端技术、分布式网络控制技术、分布式综合模块化航电系统技术,通过云管理平台、边缘控制平台、终端平台三层架构合理搭建,并配置高速安全实时网络和容器软件技术。本文提出的架构在不增加全机复杂性的同时,提高了多机载系统的综合化程度,满足人工智能、信息融合、大数据处理等新技术应用和新功能扩展的需求。
Airborne system is developing towards the direction of integration,intelligence and automation.The inte‐gration of the system is usually realized by the way of cross-linking of the system.The cross-linking relationship among systems is complex,and the number of cables is large,which can increase the complexity of the whole air‐borne system.Requirements for hardware resources of the airborne system are very high,and the contradiction be‐tween the high demand for the integrated airborne system and the slow upgrade speed of hardware resources ap‐pears.The demands for intelligent airborne systems are also developed.A distributed cloud-edge-terminal intelli‐gent architecture for airborne system is proposed,which combines cloud-edge-terminal technology,distributed net‐work control technology and distributed integrated modular avionics system technology.The architecture is reason‐ably constructed through cloud management platform,edge control platform and terminal platform,and is config‐ured with high-speed secure real-time network and container software technology.The architecture proposed in this paper can increase the degree of integration of the multi-aircraft airborne system while without increasing the whole aircraft complexity.The architecture can meet the requirement of the new technologies application such as ar‐tificial intelligence,information fusion,large data processing,and the expansion of new functions.
作者
任宝平
李创
REN Baoping;LI Chuang(Military Aircraft General Department,AVIC The First Aircraft Institute,Xi’an 710089,China)
出处
《航空工程进展》
CSCD
2023年第4期149-157,共9页
Advances in Aeronautical Science and Engineering
关键词
机载系统
云—边—端
智能架构
容器
分布式网络控制
airborne system
cloud-edge-terminal
intelligent architecture
container
distributed network control