系统仿真学报 ›› 2024, Vol. 36 ›› Issue (1): 220-231.doi: 10.16182/j.issn1004731x.joss.22-1026

• 论文 • 上一篇    

面向航空发动机的虚拟多人拆装任务的驱动方法

曾秋玮1(), 胡兆勇1(), 王志乐2, 张锐林1, 邹刚2   

  1. 1.广东工业大学 广东省计算机集成制造重点实验室,广东 广州 510006
    2.海军航空大学青岛校区,山东 青岛 266041
  • 收稿日期:2022-08-30 修回日期:2022-11-06 出版日期:2024-01-20 发布日期:2024-01-19
  • 通讯作者: 胡兆勇 E-mail:zqw96@163.com;zhy.hu@gdut.edu.cn
  • 第一作者简介:曾秋玮(1996-),男,硕士生,研究方向为虚拟现实仿真。E-mail:zqw96@163.com
  • 基金资助:
    海军装备维修保障2022年度计划项目(海航保计[2021]1116号)

Driving Method of Virtual Multi-person Disassembly and Assembly Task for Aeroengine

Zeng Qiuwei1(), Hu Zhaoyong1(), Wang Zhile2, Zhang Ruilin1, Zou Gang2   

  1. 1.Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, Guangdong University of Technology, Guangzhou 510006, China
    2.Naval Aviation University Qingdao Branch, Qingdao 266041, China
  • Received:2022-08-30 Revised:2022-11-06 Online:2024-01-20 Published:2024-01-19
  • Contact: Hu Zhaoyong E-mail:zqw96@163.com;zhy.hu@gdut.edu.cn

摘要:

为满足虚拟多人协同拆装系统不同拆装任务的快速开发需求,提出一种可配置任务序列的数据驱动方法。以某型航空发动机样机为研究对象,研究了多人协同拆装的任务要素,对任务进行基于JS对象图谱(JavaScript Object notation,JSON)的参数化设计与表达,以JSON参数化文件驱动任务序列,定义每一步任务的交互操作。实践表明:该方法运用于多人协同拆装系统中,使系统具备可配置性,能根据自定义任务序列驱动任务流程;在多端大任务量的情况下,有效提升部署效率。

关键词: 虚拟拆装, 多人协同, 航空发动机, 参数化模型, 任务驱动

Abstract:

To meet the needs of virtual multi-person collaborative disassembly and assembly system for different disassembly and assembly tasks, this paper proposes a data-driven method with configurable task sequence. Taking an aeroengine prototype as the research object, the paper studies the task elements of multi-person collaborative disassembly and assembly. It parameterizes and expresses the task based on JSON (JavaScript object notation) and drives the task sequence by JSON parametrical files, defining the interactive operation of each task step. The practice shows that this method is applied to the multi-person collaborative disassembly and assembly system, which makes the system configurable and can drive the task flow according to the user-defined task sequence. The method can effectively improve deployment efficiency when dealing with multiple terminals and large tasks.

Key words: virtual disassembly and assembly, multi-person collaboration, aeroengine, parametric model, task-driven

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