TY - GEN
T1 - A Campus Prototype of Interactive Digital Twin in Cyber Manufacturing
AU - Rubino, Matthew
AU - Weng, Michelle
AU - Chen, Jiasheng
AU - Saptarshi, Shardul
AU - Francisco, Marcus
AU - Francisco, Alex
AU - Zhou, Chi
AU - Sun, Hongyue
AU - Xu, Wenyao
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2023/1/24
Y1 - 2023/1/24
N2 - Smart manufacturing and Industry 4.0 are bringing disruptive changes to the manufacturing sector. Smart manufacturing increases productivity, creates safer conditions for workers, and simplifies product customization, all while decreasing business expenses [2]. To this end, we have created a flexible three-component architecture for remote machine management, using it to build a digital twin prototype of a Creality Ender-3 Pro 3D printer located on the University at Buffalo campus. This twin provides users with the ability to monitor and control the machine from anywhere in the world through a web interface. Our system improves upon existing technologies, such as Octoprint [1], through the addition of twin views. It also relies upon cheaper components, using the Arduino and ESP32 rather than the Raspberry Pi. Finally, existing technologies tend to focus on one specific type of machine. In contrast, our framework is flexible, capable of supporting many different machines.
AB - Smart manufacturing and Industry 4.0 are bringing disruptive changes to the manufacturing sector. Smart manufacturing increases productivity, creates safer conditions for workers, and simplifies product customization, all while decreasing business expenses [2]. To this end, we have created a flexible three-component architecture for remote machine management, using it to build a digital twin prototype of a Creality Ender-3 Pro 3D printer located on the University at Buffalo campus. This twin provides users with the ability to monitor and control the machine from anywhere in the world through a web interface. Our system improves upon existing technologies, such as Octoprint [1], through the addition of twin views. It also relies upon cheaper components, using the Arduino and ESP32 rather than the Raspberry Pi. Finally, existing technologies tend to focus on one specific type of machine. In contrast, our framework is flexible, capable of supporting many different machines.
KW - IoT
KW - cloud computing
KW - digital manufacturing
KW - industry 4.0
KW - virtual engineering
UR - https://www.scopus.com/pages/publications/85147545994
U2 - 10.1145/3560905.3568049
DO - 10.1145/3560905.3568049
M3 - Conference contribution
AN - SCOPUS:85147545994
T3 - SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
SP - 758
EP - 759
BT - SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery, Inc
T2 - 20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022
Y2 - 6 November 2022 through 9 November 2022
ER -