Application of Cloud-Edge Based Digital Twin in Robotic Arm Scanning of Aircraft Fuselage Panels

This paper investigates the Industry 4.0 upgrade of the aircraft fuselage panel workstation. Faced with diverse computational and transmission requirements of various business data at the workstation, this study proposes a combined cloud-edge transmission and computing architecture. Additionally, the research includes the planning of viewpoints for robotic scanning of aircraft fuselage panels and introduces a predetermined viewpoint trajectory method based on digital twin technology, effectively addressing the issues related to scanning quality. The practical application at this workstation has significantly enhanced both the scanning quality of the aircraft fuselage panels and the data processing capabilities.

Authors

Institutions

Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864663
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Cloud-Edge Based Digital Twin in Robotic Arm Scanning of Aircraft Fuselage Panels

Yaonan Wang, Hongkai Fan, Jiawen He, Tan Qin et al.
1 citations
Industrial Vision Systems and Defect Detection
0.35
article

Application of Cloud-Edge Based Digital Twin in Robotic Arm Scanning of Aircraft Fuselage Panels

Yaonan Wang, Hongkai Fan, Jiawen He, Tan Qin, Zhengping Fang, Zhi Yan
article en
1 citations

Abstract

This paper investigates the Industry 4.0 upgrade of the aircraft fuselage panel workstation. Faced with diverse computational and transmission requirements of various business data at the workstation, this study proposes a combined cloud-edge transmission and computing architecture. Additionally, the research includes the planning of viewpoints for robotic scanning of aircraft fuselage panels and introduces a predetermined viewpoint trajectory method based on digital twin technology, effectively addressing the issues related to scanning quality. The practical application at this workstation has significantly enhanced both the scanning quality of the aircraft fuselage panels and the data processing capabilities.

Hunan University (CN), China Mobile (China) (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 31%
Industrial Vision Systems and Defect Detection
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.