系统仿真学报 ›› 2021, Vol. 33 ›› Issue (9): 2157-2165.doi: 10.16182/j.issn1004731x.joss.20-0377

• 仿真建模理论与方法 • 上一篇    下一篇

基于目标驱动的航空维修保障体系仿真研究

丛继平1, 崔利杰1, 丁刚1, 任博1,2   

  1. 1.空军工程大学 装备管理与无人机工程学院,陕西 西安 710051;
    2.光电控制技术重点实验室,河南 洛阳 471000
  • 收稿日期:2020-06-18 修回日期:2020-08-14 出版日期:2021-09-18 发布日期:2021-09-17
  • 作者简介:丛继平(1997-),男,硕士生,研究方向为装备系统工程与管理决策。E-mail:2039507399@qq.com
  • 基金资助:
    “十三五”预研项目(41402030401)

Simulation on Aviation Maintenance Support System Based on Goal-driven

Cong Jiping1, Cui Lijie1, Ding Gang1, Ren Bo1,2   

  1. 1. Equipment Management and UAV Engineering College, Air Force Engineering University, Xi'an 710051, China;
    2. Science and Technology on Electro-optic Control Laboratory, Luoyang 471000, China
  • Received:2020-06-18 Revised:2020-08-14 Online:2021-09-18 Published:2021-09-17

摘要: 针对目前航空维修保障模式实践评估优化投入大、时间长的问题,基于Netlogo平台构建了航空维修保障体系多Agent仿真系统,选取年任务飞行时间、梯次状态、飞机完好率作为目标驱动,对不同保障模块进行仿真,显示飞行安排、飞机状态、人员、保障装设备等变化情况。仿真案例实验表明构建的航空维修保障体系多Agent系统具有良好的符合性,并可以结合飞机完好率等保障目标情况,分析保障模式存在的问题,针对性提出优化措施,改善保障方案,提高保障评估效率。为适应当前保障任务需要、提升评估效率提供了参考。

关键词: 多Agent模型, 目标导向, 维修保障, 仿真优化

Abstract: Aiming at the large investment and long time for optimization in aviation maintenance support model practice, for the first time, based on Netlogo platform, the multi-agent aviation maintenance support simulation system is constructed, which provides a reference to adapt the current support tasks and improve the evaluation efficiency. Selecting the annual mission flight time, echelon status, aircraft intact rate, and mission completion rate as the goal drivers, the simulation on different aviation maintenance support process is carried out, which displays the changes in flight arrangements, aircraft status, personnel, support equipment, etc. The simulation experiment shows that the multi-agent aviation maintenance support simulation system has good compliance, which can analyze the problems in the support mode, put forward the optimization measures, and improve the support plan in combination with the support target situation.

Key words: multi-agent model, goal-driven, maintenance support, simulation optimization

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