Assembly state detection technology based on virtual reality for key components of large space deployable mechanism

Author:

Liu Jianze,Zeng Ting,Wang Yan,Ren Mingyan,Li Yun,Zhang Zhiqiang

Abstract

Abstract Aiming at the highly reliable assembly demand of large space deployable mechanisms with complex interface relationships of components such as bars and hinges, the intelligent assembly state detection of components based on Mixed Reality technology was studied. We designed and built the assembly condition detection system of key components of large space deployable mechanisms, realized the installation position detection of key parts with the Histogram of Oriented Gradients and Support Vector Machine as the recognition algorithm of truss joint base and image processing of screws with truss joint. The detection system is applied to the assembly of the large space truss mechanism. The results show that the accuracy of part recognition is 100%. The system can reduce problems of missing or the wrong assembly and improve the automatic level of large space deployable mechanism assembly detection.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference7 articles.

1. Application of Virtual Reality and Augmented Reality Technology in Aircraft Assembly;Zhang;J. Aeronautical Manufacturing Technology,2017

2. A virtual assembly design environment;Jayaram;J. IEEE Computer Graphics & Applications,1999

3. Face Detection Based on SVM and HOG;Zhao;J. Information Technology & Informatization.,2013

4. Overview of Human Detection Technology Based on HOG;Yao;J. Electronics World,2014

5. The influence of the number of training samples on the HOG-SVM target detection algorithm;Li;J. Modern Computer,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3