Paper Info
Title
Unified Modeling For Digital Twin Of A Knowledge-Based System Design
Abstract
While Model-Based Systems Engineering (MBSE) improves the ambiguity problem of the conventional document-based way, it brings management complexity. Faced with the complexity, one of the core issues that companies care about is how to effectively evaluate, predict, and manage it in the early system design stage. The inaccuracy of contemporary complexity measurement approaches still exits due to the inconsistency between the actual design process in physical space and the theoretical simulation in virtual space. Digital Twin (DT) provides a promising way to alleviate the problem by bridging the physical space and virtual space. Aiming to integrate DT with MBSE for the system design complexity analysis and prediction, based on previous work, an integration framework named System Design Digital Twin in 5 Dimensions was introduced from a knowledge perspective. The framework provides services for design complexity measurement, effort estimation, and change propagation prediction. Then, to represent the system design digital twin in a unified way, a modeling profile is constructed through SysML stereotypes. The modeling profile includes System design digital model in virtual space profile, system services profile, relationships profile and digital twin data profile. Finally, the system design of a cube-satellite space mission demonstrates the proposed unfiled modeling approach.
Year
DOI
Venue
2021
10.1016/j.rcim.2020.102074
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Keywords
DocType
Volume
Model-based systems engineering, Digital twin, System design, Unified modeling, Systems modeling language
Journal
68
ISSN
Citations 
PageRank 
0736-5845
1
0.41
References 
Authors
0
4
Name
Order
Citations
PageRank
Haoqi Wang110.41
Hao Li22511.35
Xiao-Yu Wen3122.67
Guofu Luo452.16