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Toward dynamic resources management for IoT-based manufacturing

  • Jiafu Wan
  • , Baotong Chen
  • , Muhammad Imran
  • , Fei Tao
  • , Di Li
  • , Chengliang Liu
  • , Shafiq Ahmad
  • South China University of Technology
  • King Saud University
  • Shanghai Jiao Tong University

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)52-59
Number of pages8
JournalIEEE Communications Magazine
Volume56
Issue number2
DOIs
StatePublished - Feb 2018

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