Toward Dynamic Resources Management for IoT-Based Manufacturing

被引:133
作者
Wan, Jiafu [1 ]
Chen, Baotong [1 ]
Imran, Muhammad [2 ]
Tao, Fei [4 ]
Li, Di [1 ]
Liu, Chengliang [5 ]
Ahmad, Shafiq [3 ]
机构
[1] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou, Guangdong, Peoples R China
[2] King Saud Univ, Riyadh, Saudi Arabia
[3] King Saud Univ, Coll Engn, Riyadh, Saudi Arabia
[4] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
[5] Shanghai Jiao Tong Univ, Dept Mech Engn, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Internet of things - Dynamics - Multi agent systems - Scheduling;
D O I
10.1109/MCOM.2018.1700629
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 multi-agent 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.
引用
收藏
页码:52 / 59
页数:8
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