Baotong Chen

TL;DR: A hierarchical architecture of the smart factory was proposed first, and then the key technologies were analyzed from the aspects of the physical resource layer, the network layer, and the data application layer, which showed that the overall equipment effectiveness of the equipment is significantly improved.

TL;DR: The proposed ELBS method provides optimal scheduling and load balancing for the mixing work robots by using the improved particle swarm optimization algorithm and a multiagent system to achieve the distributed scheduling of manufacturing cluster.

TL;DR: This article proposes an architecture of edge computing for IoT-based manufacturing and analyzes the role of edge Computing from four aspects including edge equipment, network communication, information fusion, and cooperative mechanism with cloud computing.

TL;DR: 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.

TL;DR: The main purpose of this work is to point out the effects of ML-based optimization methods on the analysis of industrial IoT from the macroscopic view.