TY - JOUR
T1 - Toward dynamic resources management for IoT-based manufacturing
AU - Wan, Jiafu
AU - Chen, Baotong
AU - Imran, Muhammad
AU - Tao, Fei
AU - Li, Di
AU - Liu, Chengliang
AU - Ahmad, Shafiq
N1 - Publisher Copyright:
© 1979-2012 IEEE.
PY - 2018/2
Y1 - 2018/2
N2 - The cyber-physical production system (CPPS), which combines information communication technology, cyberspace virtual technology, and intelligent equipment technology, is accelerating the path of Industry 4.0 to transform manufacturing from traditional to intelligent. The Industrial Internet of Things integrates the key technologies of industrial communication, computing, and control, and is providing a new way for a wide range of manufacturing resources to optimize management and dynamic scheduling. In this article, OLE for process control technology, software defined industrial network, and device-To-device communication technology are proposed to achieve efficient dynamic resource interaction. Additionally, the integration of ontology modeling with multiagent technology is introduced to achieve dynamic management of resources. We propose a load balancing mechanism based on Jena reasoning and Contract-Net Protocol technology that focuses on intelligent equipment in the smart factory. Dynamic resources management for IoT-based manufacturing provides a solution for complex resource allocation problems in current manufacturing scenarios, and provides a technical reference point for the implementation of intelligent manufacturing in Industry 4.0.
AB - The cyber-physical production system (CPPS), which combines information communication technology, cyberspace virtual technology, and intelligent equipment technology, is accelerating the path of Industry 4.0 to transform manufacturing from traditional to intelligent. The Industrial Internet of Things integrates the key technologies of industrial communication, computing, and control, and is providing a new way for a wide range of manufacturing resources to optimize management and dynamic scheduling. In this article, OLE for process control technology, software defined industrial network, and device-To-device communication technology are proposed to achieve efficient dynamic resource interaction. Additionally, the integration of ontology modeling with multiagent technology is introduced to achieve dynamic management of resources. We propose a load balancing mechanism based on Jena reasoning and Contract-Net Protocol technology that focuses on intelligent equipment in the smart factory. Dynamic resources management for IoT-based manufacturing provides a solution for complex resource allocation problems in current manufacturing scenarios, and provides a technical reference point for the implementation of intelligent manufacturing in Industry 4.0.
UR - https://www.scopus.com/pages/publications/85042191603
U2 - 10.1109/MCOM.2018.1700629
DO - 10.1109/MCOM.2018.1700629
M3 - 文章
AN - SCOPUS:85042191603
SN - 0163-6804
VL - 56
SP - 52
EP - 59
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 2
ER -