TY - GEN
T1 - Digital Twin-Based Three-Dimensional Visual and Global Monitoring of Assembly Shop-Floor
AU - Zhang, Jiapeng
AU - Zhuang, Cunbo
AU - Liu, Jianhua
AU - Yuan, Kun
AU - Zhang, Jin
AU - Liu, Juan
N1 - Publisher Copyright:
© 2021 Association for Computing Machinery. All rights reserved.
PY - 2021/10/19
Y1 - 2021/10/19
N2 - Aiming at the requirements of rapid response and production efficiency improvement in the assembly shop-floor, a threedimensional (3D) visual and global monitoring method for the assembly shop-floor based on the digital twin is proposed. The paper analyzes the monitoring objectives, objects, and methods of assembly shop-floor, and constructs a global monitoring framework of digital twin-based assembly shop-floor. Then, three key technologies of realizing global monitoring shop-floor are described: current-time data perception and collection, current-time information-driven digital twin generation, and state monitoring and optimization based on digital twin. Finally, a global monitoring prototype system is designed and developed to verify the effectiveness of the proposed method..
AB - Aiming at the requirements of rapid response and production efficiency improvement in the assembly shop-floor, a threedimensional (3D) visual and global monitoring method for the assembly shop-floor based on the digital twin is proposed. The paper analyzes the monitoring objectives, objects, and methods of assembly shop-floor, and constructs a global monitoring framework of digital twin-based assembly shop-floor. Then, three key technologies of realizing global monitoring shop-floor are described: current-time data perception and collection, current-time information-driven digital twin generation, and state monitoring and optimization based on digital twin. Finally, a global monitoring prototype system is designed and developed to verify the effectiveness of the proposed method..
KW - 3d visual monitoring
KW - Assembly shop-floor
KW - Digital twin
KW - Global monitoring
UR - http://www.scopus.com/inward/record.url?scp=85121507338&partnerID=8YFLogxK
U2 - 10.1145/3487075.3487147
DO - 10.1145/3487075.3487147
M3 - Conference contribution
AN - SCOPUS:85121507338
T3 - ACM International Conference Proceeding Series
BT - CSAE 2021 - Proceedings of the 5th International Conference on Computer Science and Application Engineering
A2 - Emrouznejad, Ali
PB - Association for Computing Machinery
T2 - 5th International Conference on Computer Science and Application Engineering, CSAE 2021
Y2 - 19 October 2021 through 21 October 2021
ER -