Edge Computing in Industrial IoT Framework for Cloud-based Manufacturing Control

Edge computing is essential for the Industrial IoT as framework for data acquisition from shop floor devices; distributed intelligence will shift to the edge for speed reasons in real-time handling of big data. This research aims at developing a generic architecture for information and data collection, smart processing and aggregation at the edge of large-scale manufacturing control systems; the edge is represented by the set of shop floor entities (things) - resources and intelligent products that are agentified and communicate in multi-agent systems for decentralized MES tasks. The IIoT architecture integrates a private cloud platform with a network of IoT aggregation nodes composed of IoT gateways, sensors and PC-type workstations hosting the resource agents. Both networks form the distributed MES layer of a semi-heterarchical, cloud-based production control system. The implementing solution is given; experiments report communication with the cloud.