• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2025, Vol. 47 ›› Issue (10): 1867-1876.

• 人工智能与数据挖掘 • 上一篇    下一篇

基于边云协同和增强现实的智能装配方法

曹鹏霞,李文新,黄羿博   

  1. (1.西北师范大学物理与电子工程学院,甘肃 兰州 730070;
    2.中国空间技术研究院兰州空间技术物理研究所,甘肃 兰州 730000)
  • 收稿日期:2024-04-01 修回日期:2024-06-25 出版日期:2025-10-25 发布日期:2025-10-29
  • 基金资助:
    国家自然科学基金(61125101);兰州市青年科技人才创新项目(2024-QN-197);西北师范大学青年教师科研能力提升计划(NWNU-LKQN2022-18) 

An intelligent assembly method based on edge-cloud collaboration and augmented reality

CAO Pengxia,LI Wenxin,HUANG Yibo   

  1. (1.College of Physics and Electronic Engineering,Northwest Normal University,Lanzhou 730070;
    2.Lanzhou Institute of Physics,China Academy of Space Technology,Lanzhou 730000,China)
  • Received:2024-04-01 Revised:2024-06-25 Online:2025-10-25 Published:2025-10-29

摘要: 传统装配方法存在效率和质量难以保证、可视化程度低等问题,而增强现实可穿戴设备在跟踪注册的稳定性以及计算能力等方面亦存在不足。为了解决这些问题,提出了一种基于边云协同和增强现实的智能装配方法。云端通过跟踪注册模块为装配过程提供准确的位姿信息,并管理智能装配所需三维模型和装配工艺等信息。由于装配场景目标大多缺少纹理且大小不一,跟踪注册模块使用改进的YOLOv5s进行目标检测得到操作对象,然后应用三维点云配准算法得到操作对象的精确位姿信息。边缘端通过双目AR眼镜,提供操作现场环境数据,接收云端提供的位姿信息,并结合语音识别模块以及增强现实可视化模块实现装配过程指引。通过实验验证,所提方法能够有效解决增强现实智能装配系统面临的准确性、快速性以及鲁棒性等问题,可实现“所见即所操作”的智能装配指引。

关键词: 增强现实, 智能装配, 跟踪注册, 边云协同

Abstract: Traditional assembly methods have problems such as difficulty in ensuring efficiency and quality, and poor visualization capabilities, while augmented reality wearable devices also have shortcomings in terms of tracking and registration stability and computing power. To solve these problems, an intelligent assembly method based on edge-cloud collaboration and augmented reality is proposed. The cloud provides accurate pose information for the assembly process through the tracking and registration module, and manages information such as 3D models and assembly processes required for intelligent assembly. Since most targets in the assembly scenes lack textures and vary in size, the tracking and registration module uses the improved YOLOv5s for target detection to obtain the operation object, and then applies the 3D point cloud registration method to obtain the precise pose information of the operation object. The edge terminal, through binocular AR glasses, provides on-site operation environment data, receives the pose information provided by the cloud, and combines the speech recognition module and the augmented reality visualization module to realize the guidance of the assembly process. Experimental verification shows that the method proposed in this paper can effectively solve the problems of accuracy, speed and robustness faced by the augmented reality intelligent assembly system, and realize the intelligent assembly guidance of “what you see is what you operate”.

Key words: augmented reality, intelligent assembly, tracking registration, edge-cloud collaboration