TY - GEN
T1 - Modeling of cyber-physical systems and digital twin based on edge computing, fog computing and cloud computing towards smart manufacturing
AU - Qi, Qinglin
AU - Zhao, Dongming
AU - Liao, T. Warren
AU - Tao, Fei
N1 - Publisher Copyright:
Copyright © 2018 ASME.
PY - 2018
Y1 - 2018
N2 - Nowadays, smart manufacturing has attracted more and more interesting and attentions of researchers. As an important prerequisite for smart manufacturing, the cyber-physical integration of manufacturing is becoming more and more important. Cyber-physical systems (CPS) and digital twin (DT) are the preferred means to achieve the interoperability and integration between the physical and cyber worlds. From the perspective of hierarchy, CPS and DT can be divided into unit level, system level, and SoS (system of system) level. To meet the different requirements of each level, the following three complementary technologies, i.e., edge computing, fog computing and cloud computing, are instrumental to accelerate the development of various CPS and DT. In this article, the perspectives of unit-level, system-level, and SoS-level of CPS and DT supported by edge computing, fog computing and cloud computing are discussed.
AB - Nowadays, smart manufacturing has attracted more and more interesting and attentions of researchers. As an important prerequisite for smart manufacturing, the cyber-physical integration of manufacturing is becoming more and more important. Cyber-physical systems (CPS) and digital twin (DT) are the preferred means to achieve the interoperability and integration between the physical and cyber worlds. From the perspective of hierarchy, CPS and DT can be divided into unit level, system level, and SoS (system of system) level. To meet the different requirements of each level, the following three complementary technologies, i.e., edge computing, fog computing and cloud computing, are instrumental to accelerate the development of various CPS and DT. In this article, the perspectives of unit-level, system-level, and SoS-level of CPS and DT supported by edge computing, fog computing and cloud computing are discussed.
KW - Cloud computing
KW - Cyber-physical system (CPS)
KW - Digital twin (DT)
KW - Edge computing
KW - Fog computing
KW - Smart manufacturing
UR - https://www.scopus.com/pages/publications/85055031143
U2 - 10.1115/MSEC2018-6435
DO - 10.1115/MSEC2018-6435
M3 - 会议稿件
AN - SCOPUS:85055031143
SN - 9780791851357
T3 - ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
BT - Additive Manufacturing; Bio and Sustainable Manufacturing
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
Y2 - 18 June 2018 through 22 June 2018
ER -