计算机工程 ›› 2017, Vol. 43 ›› Issue (12): 6-10.doi: 10.3969/j.issn.1000-3428.2017.12.002

所属专题: 云计算专题

• 云计算专题 • 上一篇    下一篇

基于云计算的飞机PHM体系架构研究

李耀华,尚金秋   

  1. (中国民航大学 航空工程学院,天津 300300)
  • 收稿日期:2016-11-24 出版日期:2017-12-15 发布日期:2017-12-15
  • 作者简介:李耀华(1974—),男,副教授、博士研究生,主研方向为云计算、智能算法、故障预测;尚金秋(通信作者),硕士研究生。
  • 基金项目:
    航空科学基金(20150267001);工信部民机专项(2015SACSC-044JS);中国民航局科技引领重大专项(MHRD20160105)。

Research on PHM Architecture of Aircraft Based on Cloud Computing

LI Yaohua,SHANG Jinqiu   

  1. (School of Aviation Engineering,Civil Aviation University of China,Tianjin 300300,China)
  • Received:2016-11-24 Online:2017-12-15 Published:2017-12-15

摘要: 针对目前国内飞机维修资源利用率较低的问题,提出一种基于云计算的故障预测与健康管理(PHM)体系架构。通过为云计算的虚拟层PHM资源建立基于粒子群算法的分配模型,使得在服务质量最优情况下,用户与资源的效用函数尽量大于需求与资源的效用函数。运用CloudSim平台进行仿真实验,结果表明,该体系架构可提高PHM系统的通用性和知识利用率,有效解决飞机维修保障中的资源优化问题。

关键词: 故障预测与健康管理, 云计算, 粒子群算法, 虚拟资源配置, 效用函数

Abstract: Aiming at the problem of now internal low aircraft maintenance resources utilization,a Prognostic and Health Management(PHM) architecture based on cloud computing is put forward.Allocation model based on particles swarm algorithm is set for PHM resources in cloud computing virtual layer,it ensures utility function between users and resources is higher than utility function between asks and resources under optimal service quality,and the simulation experiments are carried out by using CloudSim platform,results show that the architecture can improve the generality and utilization of knowledge to PHM system,and can solve effectively the problem of resource optimization in aircraft maintenance support.

Key words: Prognostic and Health Management(PHM), cloud computing, particle swarm algorithm, virtual resource allocation, utility function

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