TY - GEN
T1 - A CPS-Based IIoT Architecture Using Level Diagnostics Model for Smart Factory
AU - Park, Byungjun
AU - Jeong, Jongpil
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - In this paper, a construction process using a level diagnostic agent was applied to the construction of a smart factory. The current status of the smart factory of the demanding company was measured and the target level was derived, and a cps-based design of the smart factory construction type was proposed. It is suggested that the construction of a CPS simulation based smart factory is more effective in preparation for cloud based smart factory manufacturing in the process of informatization, automation, and intelligence of the smart factory due to the explosive increase of data. In this paper, a Korean-type smart factory adopting an empirical research method that activates the actual construction cases of smart factory level diagnosis according to the basic components of the smart factory, information, automation, and intelligence, and the present examples of each smart factory level as an empirical case.
AB - In this paper, a construction process using a level diagnostic agent was applied to the construction of a smart factory. The current status of the smart factory of the demanding company was measured and the target level was derived, and a cps-based design of the smart factory construction type was proposed. It is suggested that the construction of a CPS simulation based smart factory is more effective in preparation for cloud based smart factory manufacturing in the process of informatization, automation, and intelligence of the smart factory due to the explosive increase of data. In this paper, a Korean-type smart factory adopting an empirical research method that activates the actual construction cases of smart factory level diagnosis according to the basic components of the smart factory, information, automation, and intelligence, and the present examples of each smart factory level as an empirical case.
KW - CPS
KW - Industrial Internet of Things (IIoT)
KW - Level diagnostics model
KW - Smart factory
UR - https://www.scopus.com/pages/publications/85093119369
U2 - 10.1007/978-3-030-58802-1_41
DO - 10.1007/978-3-030-58802-1_41
M3 - Conference contribution
AN - SCOPUS:85093119369
SN - 9783030588014
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 577
EP - 587
BT - Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Misra, Sanjay
A2 - Garau, Chiara
A2 - Blecic, Ivan
A2 - Taniar, David
A2 - Apduhan, Bernady O.
A2 - Rocha, Ana Maria A.C.
A2 - Tarantino, Eufemia
A2 - Torre, Carmelo Maria
A2 - Karaca, Yeliz
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th International Conference on Computational Science and Its Applications, ICCSA 2020
Y2 - 1 July 2020 through 4 July 2020
ER -