Paper Info
Title
Extraction, Rendering and Augmented Interaction in the Wire Assembly of Commercial Aircraft
Abstract
In modern aircraft, the manual process of assembling electrical wire harnesses can be complex and time consuming, consisting of tens, and possibly hundreds of kilometers of wires. This can be both labor intensive and costly to produce. Subsequently, the goal of this paper is to describe the development of a prototype digital wire routing system that adds flexibility and control in the electrical wire assembly of aircraft. This includes both the software to read and extract geometrical wire information from 3D CAD drawings to an XML file format, in addition to the rendering and design of route sequences through a series of human-machine interfaces. Specifically, we demonstrate the feasibility of mobile and wearable solutions to guide the sequencing of wire bundles for factory operators, both visually and through the use of voice interaction. Indoor location tracking is provided through the use of ultra-wide band technology to update information in the operator's vicinity. A description of these features is provided in this paper, in addition to a summary of insights gathered from user testing that highlight further research opportunities to improve the system.
Year
DOI
Venue
2016
10.1109/iThings-GreenCom-CPSCom-SmartData.2016.83
2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
Keywords
Field
DocType
aerospace,wire harness assembly,augmented reality,smart glass,indoor location tracking,human-computer interaction
CAD,User testing,XML,Computer science,Wearable computer,Software,Routing (electronic design automation),Operator (computer programming),Computer hardware,Rendering (computer graphics),Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-5090-5881-5
0
0.34
References 
Authors
2
6
Name
Order
Citations
PageRank
Mark Rice1477.20
Hong Huei Tay221.99
Jamie Ng37910.46
s selvaraj421.70
Calvin Lim563.16
Ellick Wu611.30