학술논문

A Design Methodology of Multi-level Digital Twins
Document Type
Conference
Source
2021 22nd IEEE International Conference on Industrial Technology (ICIT) Industrial Technology (ICIT), 2021 22nd IEEE International Conference on. 1:961-966 Mar, 2021
Subject
Aerospace
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Adaptation models
Design methodology
Digital twin
Production
Switches
Kinematics
Tools
Digital-Twin
Design Methodology
Automatic Generation
Multi-level
Industry 4.0
Language
Abstract
This paper proposes a design methodology of Digital Twins enabling multi-level simulation of equipment in a manufacturing plant. In this context, the Digital Twin covers a central role where it can perform analysis of the current state of the plant and, more importantly, prediction regarding its future state. This requires the use of complex models for all the nodes that compose the entire production, to obtain a more accurate estimation of future equipment states. Furthermore, most of the commercial tools provided by different vendors do not consider this dimension of the problem and allows to perform simulations of the plant with a very high level of abstraction, or with the use of statistical approximation. On the other hand, several physical process simulators allow to model and simulate single equipment, but without considering the production line perspective. Multi-Level modeling considers different levels of abstraction of the same model, allowing to switch from a model to another. This paper proposes a design flow methodology based on multi-level approach, that allows to obtain a unique environment where physical and production simulators are integrated automatically. The entire design flow is validated with a real use case scenario. The obtained results show different simulation strategies using multi-level approach with different synchronization granularity.