Computer ScienceEngineering

J. Wan, Baotong Chen, M. Imran, F. Tao, Di Li, Chengliang Liu, Shafiq Ahmad

2018.2.1IEEE COMMUNICATIONS MAGAZINE

DOI: 10.1109/mcom.2018.1700629

tlooto Summary

OLE for process control technology, software defined industrial network, and device-to-device communication technology are proposed to achieve efficient dynamic resource interaction and the integration of ontology modeling with multiagent technology is introduced to achieve dynamic management of resources.

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.

Citation format

WAN, J., et al. Toward dynamic resources management for iot-based manufacturing. IEEE COMMUNICATIONS MAGAZINE, 2018, 56(2): 52–59.