摘要
面对空基无人平台协同应用需求,传统运维模式难以适应不断扩展的无人平台底座规模以及任务协同模式下软件动态部署的范式转变,将人工智能技术应用到空基系统实现无人场景下自动化及智能化运维是未来发展趋势。文中针对空基无人平台协同底座自动化及智能化运维需求,深入探讨了智能运维系统的架构组成,结合软件工程中的DevOps和使用机器学习方法的MLOps形成AIOps,即智能运维基本概念和系统组成,并列举了空基系统运维使用智能算法带来的效益及面临的挑战,对AIOps技术在空基无人平台协同底座的应用进行深入研究分析。
Face with the demand for collaborative applications of airborne unmanned platforms,traditional operation and maintenance mode is difficult to adapt to the ever-expanding scale of the unmanned platform base and the paradigm shift in software deployment under the cooperative mode of tasking.Applying artifi-cial intelligence technology to airborne systems to achieve automated and intelligent operation and mainte-nance in unmanned scenarios is a future development trend.Aiming at the needs of automated and intelli-gent operation and maintenance of collaborative bases of airborne unmanned platforms,this paper deeply explores the architectural composition of intelligent operation and maintenance systems,combines DevOps in software engineering and MLOps using machine learning methods to form the basic concepts and system composition of AIOps,or intelligent operation and maintenance,and lists the benefits and challenges of u-sing intelligent algorithms in airborne system operation and maintenance,and conducts in-depth research and analysis on the application of AIOps technology in collaborative bases of airborne unmanned plat-forms.
作者
查晶晶
傅康平
马聚辰
刘森
ZHA Jing-jing;FU Kang-ping;MA Ju-chen;LIU Sen(China Academy of Electronics and Information Technology,Beijing 100041,China)
出处
《中国电子科学研究院学报》
2025年第2期132-137,共6页
Journal of China Academy of Electronics and Information Technology
关键词
空基系统
无人平台
分布式架构
AIOps
airborne system
unmanned platforms
distributed architecture
AIOps
