Journal of System Simulation
Abstract
Abstract: Considering the lack of the existing research on cloud manufacturing monitoring system and the lack of scalability and flexibility of existing remote monitoring system, and taking deep reinforcement learning-based industrial robot intelligent grasping as an application scenario, a micro-service architecture-based remote monitoring system for cloud manufacturing is developed, to carry out the requirement analysis and design of the monitoring system, and the remote monitoring of industrial robot intelligent grasping processes is realized. Test results show that the system can meet the monitoring requirements of resource providers, platform operator(s) and service consumers.
Recommended Citation
Liu, Yongkui; Zhang, Lin; Liu, Yingfu; Feng, Jianyong; Yu, Bo; and Niu, Wenbo
(2023)
"Design and Implementation of Industrial Robot Remote Monitoring System in Cloud Manufacturing,"
Journal of System Simulation: Vol. 35:
Iss.
2, Article 9.
DOI: 10.16182/j.issn1004731x.joss.21-1015
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss2/9
First Page
318
Revised Date
2021-12-25
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-1015
Last Page
329
CLC
TP311
Recommended Citation
Yongkui Liu, Lin Zhang, Yingfu Liu, Jianyong Feng, Bo Yu, Wenbo Niu. Design and Implementation of Industrial Robot Remote Monitoring System in Cloud Manufacturing[J]. Journal of System Simulation, 2023, 35(2): 318-329.
DOI
10.16182/j.issn1004731x.joss.21-1015
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons