University of Oulu

B. Li, X. Chai, B. Hou, L. Zhang, J. Zhou and Y. Liu, "New Generation Artificial Intelligence-Driven Intelligent Manufacturing (NGAIIM)," 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Guangzhou, 2018, pp. 1864-1869,

New generation artificial intelligence-driven intelligent manufacturing (NGAIIM)

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Author: Li, Bohu1; Chai, Xudong2; Hou, Baocun3;
Organizations: 1Beijing University of Aeronautics and Astronautics Beijing, China
2CASICloud Co. Ltd. Beijing, China
3Beijing Simulation Center, Beijing, China
4University of Oulu, Finland Oulu, Finland
5Hangtian Zhizao Co. Ltd. Beijing, China
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-04-29


In order to embrace new generation artificial intelligence to upgrade manufacturing industry, we propose the concept of new generation artificial intelligence-driven intelligent manufacturing (NGAIIM), which is a new manufacturing paradigm integrating human/machine/environment/information into product lifecycle activities. First, we introduce new generation artificial intelligence. Second, we present NGAIIM connotation, NGAIIM architecture and its technology system. Then, we examine a NGAIIM use case — CASICloud. Finally, we provide suggestions for directing the NGAIIM development.

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ISBN: 978-1-5386-9380-3
ISBN Print: 978-1-5386-9381-0
Pages: 1864 - 1869
Article number: 8560291
DOI: 10.1109/SmartWorld.2018.00313
Host publication: 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
Host publication editor: Loulergue, F.
Wang, G.
Bhuiyan, M. Z. A.
Ma, X.
Li, P.
Roveri, M.
Han, Q.
Chen, L.
Conference: IEEE International Conference on Cloud and Big Data Computing
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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