增强装配工艺信息模型驱动的空间展开机构混合现实辅助装配

doi:10.3901/JME.2025.02.371

机械工程学报 ›› 2025, Vol. 61 ›› Issue (2): 371-383.doi: 10.3901/JME.2025.02.371

• 交叉与前沿 • 上一篇

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增强装配工艺信息模型驱动的空间展开机构混合现实辅助装配

王艺玮¹, 郭琦¹, 刘新玉¹, 郑联语¹, 张向荣¹, 王彬彬¹, 赖小明², 李云²

1. 北京航空航天大学机械工程及自动化学院北京 100191;
2. 北京卫星制造厂有限公司北京 100094

收稿日期:2024-01-20 修回日期:2024-08-11 发布日期:2025-02-26
作者简介:王艺玮，女，1988年出生，博士，副教授，博士研究生导师。主要研究方向为制造数据融合与互操作技术、复杂装备监测预测诊断智能运维。E-mail：wangyiwei@buaa.edu.cn;郑联语(通信作者)，男，1967年出生，博士。主要研究方向为数字化与智能化制造技术，可穿戴和AR辅助智能装配。E-mail：lyzheng@buaa.edu.cn
基金资助:
国家自然科学基金(52375476)、国家重点研发计划(2020YFB1708400)、国防基础科研(JCKY2018601C011)和北航青年拔尖人才支持计划(YWF-23- L-1209)资助项目。

Assembly of Space Deployable Mechanism Driven by Enhanced Assembly Process Information Model Assisted by Mixed Reality

WANG Yiwei¹, GUO Qi¹, LIU Xinyu¹, ZHENG Lianyu¹, ZHANG Xiangrong¹, WANG Binbin¹, LAI Xiaoming², LI Yun²

1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191;
2. Beijing Spacecrafts Manufacturing Co., Ltd., Beijing 100094

Received:2024-01-20 Revised:2024-08-11 Published:2025-02-26

摘要/Abstract

摘要： 大型空间展开机构装配过程复杂，目前装配工艺以纸质文档或电子看板为主要载体形式，各工序技术要求、零部件清单、操作说明等相对独立，工艺信息以自然语言描述为主，存在信息冗余、复杂抽象等缺陷，易造成操作工人理解偏差。此外产品高度定制化，一件产品一套工艺，学习成本高。随着市场对卫星定制化程度和制造周期的要求越来越高，传统的装配作业模式暴露出越来越多的弊端。为此，提出一种增强装配工艺信息模型驱动的空间展开机构混合现实(Mixed reality, MR)辅助装配技术。首先，构建融合工艺规程、装配动画、全息模型等静态数据，及装配过程中测量数据、监测数据等动态数据在内的增强装配工艺信息模型。其次，提出面向MR辅助装配的工艺高效创编方法，实现工艺设计系统与MR辅助装配系统的无缝衔接。再次，建立MR设备与激光跟踪仪等现场测量设备的互操作，实现“装-测-调”一体化闭环过程。最后，在以上关键技术基础上开发MR辅助装配系统，并在某大型空间展开机构装配现场进行应用验证。结果表明，文中所提方法打通了装配过程各环节数据流，形成“信息建模-工艺创编-MR引导-数据闭环”的全流程、全链条装配模式，提高了卫星产品的装配效率与质量。

关键词: 空间展开机构, 混合现实, 增强装配工艺信息模型, 测量互操作

Abstract: The assembly process of large-scale space deployable mechanism is complicated. Currently, the assembly process is documented. The technical requirements, bill of material(BOM), operation instructions, etc. of each process are arranged independently. The process information in the paper document is described in natural language, having shortcomings such as information redundancy and abstract, which leads to understanding deviation for different people. With increasing higher requirement for satellite customization and manufacturing cycle, the traditional assembly operation mode exposes disadvantages. To solve the above problems, an assembly guidance method driven by augmented assembly process information model assisted by mixed reality is proposed. First, the augmented assembly process information model is constructed, which integrates static data such as text, assembly animation and holographic model, and dynamic data such as measurement and monitoring readings during the assembly process. Secondly, a high-efficiency process authoring method for MR-assisted assembly is proposed, which seamlessly connects the assembly process planning and the MR-assisted assembly system. Thirdly, the interoperability between MR device and the on-site measurement equipment such as laser tracer, intelligent torque wrench, data acquisition instrumentations, etc. is established. The interoperability enables to integrates measurement steps into the assembly process and fee back the measurement results in time to workers. This “assembly-measurement-adjustment” closed-loop process enables correct assembly errors in time and reduce rework. Finally, the above technologies are integrated into the developed MR-assisted assembly guidance system, which is verified at the assembly site of a large-scale space deployable mechanism. The results show that the proposed method and the developed MR-assisted assembly system are able to alleviate cognitive load, reduce rework, and improve the assembly efficiency and quality of satellite products.

Key words: space deployable mechanism, mixed reality, enhanced assembly process information model, measurement interoperability

中图分类号:

TP277

王艺玮, 郭琦, 刘新玉, 郑联语, 张向荣, 王彬彬, 赖小明, 李云. 增强装配工艺信息模型驱动的空间展开机构混合现实辅助装配[J]. 机械工程学报, 2025, 61(2): 371-383.

WANG Yiwei, GUO Qi, LIU Xinyu, ZHENG Lianyu, ZHANG Xiangrong, WANG Binbin, LAI Xiaoming, LI Yun. Assembly of Space Deployable Mechanism Driven by Enhanced Assembly Process Information Model Assisted by Mixed Reality[J]. Journal of Mechanical Engineering, 2025, 61(2): 371-383.

参考文献

[1] 刘检华，孙清超，程晖，等. 产品装配技术的研究现状，技术内涵及发展趋势[J]. 机械工程学报，2018，54(11)：2-28. LIU Jianhua，SUN Qingchao，CHENG Hui，et al. Research status，technical connotation and development trend of product assembly technology[J]. Journal of Mechanical Engineering，2018，54(11)：2-28.
[2] 张佳朋，刘检华，龚康，等. 基于数字孪生的航天器装配质量监控与预测技术[J]. 计算机集成制造系统，2021，27(2)：605-616. ZHANG Jiapeng，LIU Jianhua，GONG Kang，et al. Spacecraft assembly quality monitoring and prediction technology based on digital twin[J]. Computer Integrated Manufacturing System，2021，27(2)：605-616.
[3] 魏禛，郭宇，汤鹏洲，等. 增强现实在复杂产品装配领域的关键技术研究与应用综述[J]. 计算机集成制造系统，2022，28(3)：649-662. WEI Zhen，GUO Yu，TANG Pengzhou，et al. Review of key technologies and applications of augmented reality in complex product assembly[J]. Computer Integrated Manufacturing System，2022，28(3)：649-662.
[4] WANG Z，BAI X，ZHANG S，et al. A comprehensive review of augmented reality-based instruction in manual assembly，training and repair[J]. Robotics and Computer-Integrated Manufacturing，2022，78：102407.
[5] DROUOT M，LE BIGOT N，BRICARD E，et al. Augmented reality on industrial assembly line：Impact on effectiveness and mental workload[J]. Applied Ergonomics，2022，103：103793.
[6] NEE A，ONG S K，CHRYSSOLOURIS G，et al. Augmented reality applications in design and manufacturing[J]. CIRP Annals，2012，61(2)：657-679.
[7] Gerdenitsch C，Sackl A，Hold P. Augmented reality assisted assembly：An action regulation theory perspective on performance and user experience[J]. International Journal of Industrial Ergonomics，2022，92：103384.
[8] Fang W，Hong J. Bare-hand gesture occlusion-aware interactive augmented reality assembly[J]. Journal of Manufacturing Systems，2022，65：169-179.
[9] 王峻峰，李旺，付艳，等. 增强现实辅助装配人因适应性研究进展[J]. 机械工程学报，2022，58(18)：16-30. WANG Junfeng，LI Wang，FU Yan，et al. Research progress on human factor adaptability of augmented reality assisted assembler[J]. Journal of Mechanical Engineering，2022，58(18)：16-30.
[10] 蓝珊. 人工装配过程增强现实辅助技术研究[D]. 武汉：华中科技大学，2018. LAN Shan. Research on augmented reality assisted Technology in artificial assembly process[D]. Wuhan：Huazhong University of Science and Technology，2018.
[11] YANG Y，YANG P，LI J，et al. Research on virtual haptic disassembly platform considering disassembly process[J]. Neurocomputing，2019，348：74-81.
[12] 陈华俊，陈畅宇，孙刚，等. 增强现实在航天器电缆装配中的应用技术研究[J]. 科技与创新，2019(8)：40-44. CHEN Huajun，CHEN Changyu，SUN Gang，et al. Research on the application technology of augmented reality in spacecraft cable assembly[J]. Science，Technology and Innovation，2019(8)：40-44.
[13] 尹旭悦，范秀敏，顾岩，等. 动态视觉手势识别下手工装配时序控制的智能防错方法[J]. 计算机集成制造系统，2017，23(7)：1457-1468. YIN Xuyue，FAN Xiumin，GU Yan，et al. An intelligent error-proof method for manual assembly timing control based on dynamic visual gesture recognition[J]. Computer Integrated Manufacturing System，2017，23(7)：1457-1468.
[14] de S C L F，Mariano F C M Q，Zorzal E R. Mobile augmented reality to support fuselage assembly[J]. Computers & Industrial Engineering，2020，148：106712.
[15] Neb A，Brandt D，Rauhöft G，et al. A novel approach to generate augmented reality assembly assistance automatically from CAD models[J]. Procedia CIRP，2021，104：68-73.
[16] Liu X，Zheng L，Wang Y，et al. Human-centric collaborative assembly system for large-scale space deployable mechanism driven by digital twins and wearable AR devices[J]. Journal of Manufacturing Systems，2022，65：720-742.
[17] 李旺，王峻峰，蓝珊，等. 增强现实装配工艺信息内容编辑技术[J]. 计算机集成制造系统，2019，25(7)：1676-1684. LI Wang，WANG Junfeng，LAN Shan，et al. Content editing technology of assembly process information in augmented reality[J]. Computer Integrated Manufacturing System，2019，25(7)：1676-1684.
[18] 刘欢连，易扬，刘晓军，等. 面向现场装配的产品装配工艺模型表达与管理方法[J]. 计算机集成制造系统，2022，28(1)：31-42. LIU Huanlian，YI Yang，LIU Xiaojun，et al. Product assembly process model expression and management for field assembly[J]. Computer Integrated Manufacturing System，2022，28(1)：31-42.
[19] 乔立红，朱怡心，ANWER N. 几何增强的装配工艺本体建模[J]. 机械工程学报，2015，51(22)：202-212. QIAO Lihong，ZHU Yixin，ANWER N. Geometric enhanced ontology modeling for assembly process planning[J]. Journal of Mechanical Engineering，2015，51(22)：202-212.
[20] BAO Q，ZHAO G，YU Y，et al. A node2vec-based graph embedding approach for unified assembly process information modeling and workstep execution time prediction[J]. Computers & Industrial Engineering，2022，163：107864.

增强装配工艺信息模型驱动的空间展开机构混合现实辅助装配

Assembly of Space Deployable Mechanism Driven by Enhanced Assembly Process Information Model Assisted by Mixed Reality

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