航空学报2025，Vol.46Issue(19)：130-139,10.DOI:10.7527/S1000-6893.2025.31290
数字孪生驱动的机群寿命精细化管理
Refined management of fleet life driven by digital twins
摘要
Abstract
With the prominence of aircraft flight safety guarantee and the development of single aircraft life monitoring technology,the intelligent and meticulous management of aircraft fleet life has become a key concern.This paper ad-dresses the maintenance planning and flight training planning,the two key elements in the life management of fleet.Firstly,based on the physical information of real-time health status of aircraft structures,a maintenance planning model driven by digital twins is established with the planning objective of maximizing the utilization rate of maintenance resources and fleet retention rate and the constraints of the remaining life and simultaneous maintenance ability of each aircraft structure.Secondly,based on the life loss information,a digital twin-driven flight training planning model is established with the life loss balance and remaining service life of key parts as planning objectives,and the mainte-nance time and flight training tasks of each aircraft as constraints.By integrating the above models,a set of high-fidelity and refined management method of cluster life is formed,and the practical engineering application of this man-agement method is demonstrated by constructing cluster data.关键词
数字孪生/机群管理/健康监控/非支配排序遗传算法/机群寿命Key words
digital twins/fleet management/health monitoring/non-dominated sorting genetic algorithms/fleet life分类
航空航天引用本文复制引用
顾宇轩,郭聪,黄蕾,董一飞,董宏达,邓智伦..数字孪生驱动的机群寿命精细化管理[J].航空学报,2025,46(19):130-139,10.基金项目
国防基础科研计划(JCKY2021205B003) National Defense Basic Research Program(JCKY2021205B003) （JCKY2021205B003）
