系统仿真学报 ›› 2018, Vol. 30 ›› Issue (8): 2817-2825.doi: 10.16182/j.issn1004731x.joss.201808001

• 专栏:复杂系统建模与仿真 •    下一篇

模型驱动的航空指挥和保障系统仿真优化设计方法

罗永亮1, 张智慧2, 张珺1, 秦远辉1   

  1. 1. 中国船舶工业系统工程研究院,北京 100094;
    2. 海丰通航科技有限公司,北京 100094
  • 收稿日期:2018-07-01 出版日期:2018-08-10 发布日期:2019-01-08
  • 作者简介:罗永亮(1986-),男,安徽六安,博士,工程师,研究方向为复杂系统建模仿真;张智慧(1984-),女,重庆,本科,研究方向为自动化控制; 张珺(1973-),男,黑龙江,硕士,研究员,研究方向为船舶总体。

Simulation Optimization Design Method of Model Driven Aviation Command and Support System

Luo Yongliang1, Zhang Zhihui2, Zhang Jun1, Qin Yuanhui1   

  1. 1. System Engineering Research Institute, China State Shipbuilding Corporation, Beijing 100094, China;
    2. Haifeng Tonghang Science and Technology Ltd, Beijing 100094, China
  • Received:2018-07-01 Online:2018-08-10 Published:2019-01-08

摘要: 航空指挥和保障系统(简称航保系统)作为一类典型的复杂大系统,存在着功能组成复杂、流程复杂、作业场景复杂、资源种类及约束条件多等特点。结合航保系统设计需求,借鉴系统工程理论方法,提出了一种模型驱动(Model driven)的以流程为核心(Process centered)的航空指挥和保障大系统仿真优化设计方法,并围绕其关键使能技术进行了介绍,包括模型驱动的多视图体系结构设计、流程牵引的航保作业仿真、面向效能的资源优化配置等技术;给出了航保系统仿真优化设计平台架构,从而为实现面向不同领域设计人员、不同设计阶段的航空指挥和保障系统数字化、协同化设计提供了理论方法和手段支撑。

关键词: 航空保障, 模型驱动, 流程牵引, 仿真优化

Abstract: As a typical complex system, the design process of air command and security system (ACSS) is different from the existing design process of complex system because of more typical characteristics, such as functional complexity, process complexity and scene complexity. According to the design requirements of ACSS, a simulation optimization design method of model driven and process centered ACSS based on the theoretical method of system engineering is proposed, and the key enabling technologies are introduced, which include model-driven multi-view architecture design, process traction simulation of ACSS, efficient resource optimization and allocation technology, and so on. The simulation and optimization design platform architecture of aviation insurance system is presented, and the theoretical methods and means to realize the digital and collaborative design of ACSS for designers in different fields and at different design stages are provided.

Key words: aviation command, model driven, process centered, simulation optimization

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