Knowledge Graphs in Digital Twins for Manufacturing - Lessons Learned from an Industrial Case at Atlas Copco Airpower
Bart Meyers, Johan Van Noten, Pieter Lietaert, Bavo Tielemans, Hristo Hristov, Davy Maes, Klaas Gadeyne
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.
Topics & Concepts
Atlas (anatomy)ArchitectureComputer scienceCognitionOntologyCognitive architectureGraphDigital manufacturingQuality (philosophy)Systems engineeringArtificial intelligenceKnowledge managementData scienceManufacturing engineeringHuman–computer interactionEngineeringPsychologyTheoretical computer scienceGeographyNeurosciencePaleontologyBiologyArchaeologyEpistemologyPhilosophyDigital Transformation in IndustryManufacturing Process and OptimizationFlexible and Reconfigurable Manufacturing Systems