Citation:
D'Amico RD, Sarkar A, Karray H, et al., (2022) Detecting failure of a material handling system through a cognitive twin. In: 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, 22-24 June 2022, Nantes, France
Abstract:
This paper describes a methodology for developing a digital twin (DT) based on a rich semantic model and principles of system engineering. The aim is to provide a general model of digital twins (DT) that can improve decision making based on semantic reasoning on real-time system monitoring. The methodology has been tested on a laboratory pilot plant that acts as a material handling system. The key contribution of this research is to propose a generic information model for DT using foundational ontology and principles of systems engineering. The efficacy of the proposed methodology is demonstrated by the automatic detection of a component level failure using semantic reasoning.