4.7 Article

Toward Dynamic Resources Management for IoT-Based Manufacturing

期刊

IEEE COMMUNICATIONS MAGAZINE
卷 56, 期 2, 页码 52-59

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.2018.1700629

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资金

  1. Guangdong Natural Science Foundation [2017B030311008]
  2. National Key Research and Development Project [2017YFE0101000]
  3. National Natural Science Foundation of China [51575194]
  4. King Saud University [1435-051]
  5. Guangdong Natural Science Foundation [2017B030311008]
  6. National Key Research and Development Project [2017YFE0101000]
  7. National Natural Science Foundation of China [51575194]
  8. King Saud University [1435-051]

向作者/读者索取更多资源

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.

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