TY - GEN
T1 - Cloud-edge collaborative industrial robotic intelligent service platform
AU - Wang, Rui
AU - Mou, Xudong
AU - Sun, Jie
AU - Liu, Pin
AU - Guo, Xiaohui
AU - Wo, Tianyu
AU - Liu, Xudong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - With the development of industrial automation and intelligence deepening, industrial robots' installations increase rapidly. The traditional robot operation and management methods are no longer suitable for current requirements. Cloud computing and big data technology together are deemed to form a promising and possible solution to this challenge. From this point of view, this paper proposes a novel industrial robotics cloud platform architecture, and application orchestration and containerized software appliance technology-enabled cloud-edge collaboration mechanism is designed therein. Two exemplary and real-world case studies, supervisory control and data acquisition, and industrial robot predictive maintenance, are further conducted to demonstrate our architecture's generality and versatility.
AB - With the development of industrial automation and intelligence deepening, industrial robots' installations increase rapidly. The traditional robot operation and management methods are no longer suitable for current requirements. Cloud computing and big data technology together are deemed to form a promising and possible solution to this challenge. From this point of view, this paper proposes a novel industrial robotics cloud platform architecture, and application orchestration and containerized software appliance technology-enabled cloud-edge collaboration mechanism is designed therein. Two exemplary and real-world case studies, supervisory control and data acquisition, and industrial robot predictive maintenance, are further conducted to demonstrate our architecture's generality and versatility.
KW - Cloud Robotics
KW - Cloud-edge Collaboration
KW - Intelligent Service Architecture
KW - Service Orchestration
UR - https://www.scopus.com/pages/publications/85092035032
U2 - 10.1109/JCC49151.2020.00020
DO - 10.1109/JCC49151.2020.00020
M3 - 会议稿件
AN - SCOPUS:85092035032
T3 - Proceedings - 2020 IEEE International Conference on Joint Cloud Computing, JCC 2020
SP - 71
EP - 77
BT - Proceedings - 2020 IEEE International Conference on Joint Cloud Computing, JCC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Joint Cloud Computing, JCC 2020
Y2 - 3 August 2020 through 6 August 2020
ER -