Back to Search Start Over

Research on Holographic Visualization Verification Platform for Construction Machinery Based on Mixed Reality Technology.

Authors :
Dai, Mingyuan
Li, Liangpeng
Lu, Yilin
Xiao, Liwei
Zong, Xuemei
Tu, Chenglong
Meng, Fanjian
Tang, Yong
Guo, Dongliang
Source :
Applied Sciences (2076-3417); Mar2023, Vol. 13 Issue 6, p3692, 24p
Publication Year :
2023

Abstract

As "Industry 4.0" progresses, construction machinery is evolving toward large-scale, automation, and integration, resulting in the equipment becoming increasingly sophisticated, and the designs more difficult. Labor costs, transportation, and time will be huge challenges for construction machinery, and mixed reality technology is one of several possible ways to solve this challenge. The research presented in this paper develops a holographic visual verification platform for a digital prototype of construction machinery based on virtual terminal equipment, through investigating the synchronous remote collaboration of multiple terminal devices in a mixed reality scenario. These included semi-physical virtual-real fusion assembly, multi-person real-time voice communication, dynamic loading of MR model based on a cloud server, virtual imitation control, interface design, and human-computer interaction. The effectiveness of this paper's method is demonstrated through remote collaborative design cases. These included a double drum roller, loader, and milling planer welding production line, as well as tractor modeling review and virtual simulation manipulation of an aerial work platform. The experimental results show that this visual verification platform is a feasible, low-cost and scalable solution, which brings a qualitative breakthrough to the design, research and development, production and other stages in the field of construction machinery. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763417
Volume :
13
Issue :
6
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
162724916
Full Text :
https://doi.org/10.3390/app13063692