TY - GEN
T1 - Flexible production line product R&D and manufacturing cloud platform based on intelligent data collaboration
AU - Xie, Yanyin
AU - Yang, Rui
AU - Hu, Ruihan
AU - Gan, Lin
AU - Ke, Hualin
N1 - Publisher Copyright:
© 2023 SPIE.
PY - 2023
Y1 - 2023
N2 - This paper focuses on how to ensure the availability and effectiveness of massive cloud data for industrial robots in the flexible production line, address the technical challenge in building a massive data cloud platform for industrial robots, and resolve the engineering problem of cloud based industrial robot cloud service application. To achieve this purpose, research is conducted on industrial robot hybrid cloud platform architecture, network technology, industrial robot big data system, autonomous learning cloud data processing and other technologies, which provides support for cloud service applications. It is suggested to combine knowledge atlas, digital twins, deep neural network, migration learning and other artificial intelligence technologies, which is conducive to remote monitoring and fault diagnosis cloud service applications. This has been verified and promoted in the handling, polishing, stacking, welding, assembly and other robots in 3C, mold, household appliances, automobile, furniture, electronic equipment manufacturing and other industries.
AB - This paper focuses on how to ensure the availability and effectiveness of massive cloud data for industrial robots in the flexible production line, address the technical challenge in building a massive data cloud platform for industrial robots, and resolve the engineering problem of cloud based industrial robot cloud service application. To achieve this purpose, research is conducted on industrial robot hybrid cloud platform architecture, network technology, industrial robot big data system, autonomous learning cloud data processing and other technologies, which provides support for cloud service applications. It is suggested to combine knowledge atlas, digital twins, deep neural network, migration learning and other artificial intelligence technologies, which is conducive to remote monitoring and fault diagnosis cloud service applications. This has been verified and promoted in the handling, polishing, stacking, welding, assembly and other robots in 3C, mold, household appliances, automobile, furniture, electronic equipment manufacturing and other industries.
KW - Cloud platform
KW - Flexible production line
KW - Intelligent data collaboration
UR - https://www.scopus.com/pages/publications/85159362129
U2 - 10.1117/12.2667215
DO - 10.1117/12.2667215
M3 - 会议稿件
AN - SCOPUS:85159362129
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Third International Seminar on Artificial Intelligence, Networking, and Information Technology, AINIT 2022
A2 - Hu, Naijing
A2 - Zhang, Guanglin
PB - SPIE
T2 - 3rd International Seminar on Artificial Intelligence, Networking, and Information Technology, AINIT 2022
Y2 - 23 September 2022 through 25 September 2022
ER -