TY - GEN
T1 - Design concerns for industrial big data system in the smart factory domain
T2 - 23rd International Conference on Engineering of Complex Computer Systems, ICECCS 2018
AU - Zhao, Hui
AU - Hou, Jianrong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/27
Y1 - 2018/12/27
N2 - The smart factory is characterized by the high value of industrial big data, the applications of IoT(Internet of Things) technologies and cloud computing technologies. Developing an industrial big data system is a comprehensive challenge job as it involves both software and hardware. Big data are pervasive in all the lifecycle of the industrial product. Thus, developing an industrial big data system is different from that of the traditional business process system. We noticed there is not much emphasis on the design concerns for industrial big data system from the product lifecycle view in the smart factory domain. In this paper, the challenges that industrial big data systems meet in the smart factory domain are discussed. The domain requirements are analyzed. The design concerns for industrial big data-based system are abstracted from the product lifecycle view. The design concerns are focused on the requirements from the acquirers, system builders, and other stakeholders of smart factory. Furthermore, we demonstrate the instantiation to define solutions about smart fault diagnosis for complex equipment based on big operation data including the architecture design, data management, data analysis, and services provider.
AB - The smart factory is characterized by the high value of industrial big data, the applications of IoT(Internet of Things) technologies and cloud computing technologies. Developing an industrial big data system is a comprehensive challenge job as it involves both software and hardware. Big data are pervasive in all the lifecycle of the industrial product. Thus, developing an industrial big data system is different from that of the traditional business process system. We noticed there is not much emphasis on the design concerns for industrial big data system from the product lifecycle view in the smart factory domain. In this paper, the challenges that industrial big data systems meet in the smart factory domain are discussed. The domain requirements are analyzed. The design concerns for industrial big data-based system are abstracted from the product lifecycle view. The design concerns are focused on the requirements from the acquirers, system builders, and other stakeholders of smart factory. Furthermore, we demonstrate the instantiation to define solutions about smart fault diagnosis for complex equipment based on big operation data including the architecture design, data management, data analysis, and services provider.
KW - Architecture
KW - Design concerns
KW - Industrial big data
KW - Product lifecycle
KW - Smart factory
UR - https://www.scopus.com/pages/publications/85061383800
U2 - 10.1109/ICECCS2018.2018.00036
DO - 10.1109/ICECCS2018.2018.00036
M3 - 会议稿件
AN - SCOPUS:85061383800
T3 - Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS
SP - 217
EP - 220
BT - Proceedings - 23rd International Conference on Engineering of Complex Computer Systems, ICECCS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 December 2018 through 14 December 2018
ER -