基于云边协同的新一代机载预测及健康管理架构设计

Design of New Generation of Airborne Prognostics and Health Management Architecture Based on Cloud-Edge Collaboration

为适应未来战争节奏快、战场环境复杂以及下一代制空作战装备远航久航等新特点,提出了下一代制空作战装备机载故障预测与健康管理(PHM)的新需求,即关键故障精准预测、安全状态全面感知、辅助任务决策快速生成。而目前传统机载PHM由于规划功能有限、数据传输能力和计算资源不足等问题无法满足新需求。云边协同是一种可以支撑开放式统一系统架构的典型方法,符合下一代制空作战装备机载架构的发展趋势,并且可以有效减少机载健康数据传输并可合理地动态分配计算资源。在传统机载PHM架构的基础上,提出了基于云边协同的新一代机载PHM功能架构及物理架构,并阐述关键功能运行逻辑,为新一代机载PHM架构设计提供了一个可参考的技术思路。

In order to adapt to the fast pace of future war,complex battlefield environment and the new characteristics of the next generation of air control combat equipment,the new requirements of airborne prognostics and health management(PHM) of the next generation air control combat equipment are put forward,which includes accurate prediction of critical faults,comprehensive perception of safety status,and rapid generation of auxiliary mission decisions.At present,the traditional airborne PHM cannot meet the new demand due to limited planning function,insufficient data transmission capability and computing resources.Cloud-edge collaboration is a typical method that can support open unified system architecture,which is in line with the development trend of airborne architecture of next generation air combat equipment,and can effectively reduce airborne health data transmission and allocate computing resources reasonably and dynamically.Based on the traditional airborne PHM architecture,a new generation of airborne PHM functional architecture and physical architecture based on cloud-edge collaboration are proposed,and the operation logic of key functions is described,which provides a reference technical idea for the design of a new generation of airborne PHM architecture.