A modeling approach for integration and contextualization of simulation-based digital services in IIoT

Abstract

In the context of the Industrial Internet of Things (IIoT) production plants and components are increasingly growing together with information technologies. This is often realized by means of digital twins. They collect data in real time and learn from this data; they control processes automatically or support human decisions; and they communicate and interact through the internet. This is more and more evolving to intercompany interactions based on digital services. In addition to data of isolated assets (e.g. production resources), new capabilities for standard-based data integration and orchestration are necessary to contextualize the interaction of multiple digital twins and services. This paper suggests an approach to use common standards in the industrial context such as AutomationML, FMI, and OPC UA as basis for integration and contextualization of simulation-based digital services on IIoT platforms.