Visualisation of the Digital Twin data in manufacturing by using Augmented Reality

被引:157
作者
Zhu, Zexuan [1 ]
Liu, Chao [1 ]
Xu, Xun [1 ]
机构
[1] Univ Auckland, Dept Mech Engn, Auckland 1010, New Zealand
来源
52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) | 2019年 / 81卷
关键词
Digital Twin; augmented reality; smart manufacturing; big data visulisations;
D O I
10.1016/j.procir.2019.03.223
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the wave of Industry 4.0, Digital Twin is attracting more and more attention world-wide. The term might have been coined some time ago, today the concept is increasingly being used in the field of smart manufacturing. Digital Twin provides advantages in different fields of manufacturing, such as production and design, remote diagnostics and service. Digital Twin relies on the continuously accumulated data and real-time presentation of the collected data to simultaneously update and modify with its physical counterpart. However, presenting a huge amount of collected data and information in a Digital Twin in an intuitive manner remains a challenge. Currently, augmented reality (AR) has been widely implemented in the manufacturing environment, such as product design, data management, assembly instructions, and equipment maintenance. By integrating graphics, audios and real-world objects, AR allows the users to visualise and interact with Digital Twin data at a new level. It gives the opportunity to provide intuitive and continual visualisation of the Digital Twin data. In this paper, an AR application that uses Microsoft HoloLens to visualise the Digital Twin data of a CNC milling machine in a real manufacturing environment is presented. The developed application allows the operator to monitor and control the machine tool at the same time, but also enables to interact and manage the Digital Twin data simultaneously, which provides an intuitive and consistent human machine interface to improve the efficiency during the machining process. The proposed application paves the way for further development of intelligent control process through AR devices in the future. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:898 / 903
页数:6
相关论文
共 21 条
[1]  
Accurate F. F., MANUFACTURING DIGITA
[2]  
Bhouri I., 2009, CHAOS SOLITONS FRACT
[3]  
Bielefeldt B., 2016, COMPUTATIONALLY EFFI
[4]  
Glaessgen E., 2012, 53 AIAA ASME ASCE AH, DOI DOI 10.2514/6.2012-1818
[5]  
Gockel B.T., 2012, CHALLENGES STRUCTURA
[6]  
Goos G., LNCS, V3168
[7]  
Hoover M., 2018, THESIS
[8]  
Liu C., 2018, J. Manuf. Syst.
[9]  
Liu C., 2017, J MANUF SYST
[10]  
Liu C., 2018, PROCEDIA CIRP