Knowledge Graphs in Digital Twins for Manufacturing - Lessons Learned from an Industrial Case at Atlas Copco Airpower

Abstract

In this paper we introduce an architecture for a cognitive digital twin that uses an ontology-based knowledge graph to improve the analysis of manufacturing systems. The architecture is evaluated in a use case at Atlas Copco Airpower, revolving around an adaptive measurement strategy for quality control. We report on the requirements, outcomes, and the resulting challenges of using a cognitive digital twin, and provide a roadmap for future research.