Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model

•Describe the digital twin at the conceptual level, which includes physical entity's components,behaviors and rules.•The five dimension digital twin framework is introduced into the modeling process as the guiding principle to improve the proposed method's accuracy.•The TRIZ function model...

Full description

Saved in:
Bibliographic Details
Published inJournal of manufacturing systems Vol. 58; pp. 79 - 93
Main Authors Wu, Chunlong, Zhou, Youcheng, Pereia Pessôa, Marcus Vinicius, Peng, Qingjin, Tan, Runhua
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:•Describe the digital twin at the conceptual level, which includes physical entity's components,behaviors and rules.•The five dimension digital twin framework is introduced into the modeling process as the guiding principle to improve the proposed method's accuracy.•The TRIZ function model optimized by the five dimension framework is used as an effective way to construct the conceptual digital twin model. Digital twin represents a fusion of the informational and physical domains, to bridge the material and virtual worlds. Existing methods of digital twin modeling are mainly based on modular representation, which limits guidance of the modeling process. Such methods do not consider the components or operational rules of the digital twin in detail, thereby preventing designers from applying these methods in their fields. With the increasing application of digital twin to various engineering fields, an effective method of modeling a multi-dimensional digital twin at the conceptual level is required. To such an end, this paper presents a method for the conceptual modeling of a digital twin based on a five-dimensional digital twin framework to represent the complex relationship between digital twin objects and their attributes. The proposed method was used to model the digital twin of an intelligent vehicle at the concept level.
ISSN:0278-6125
1878-6642
DOI:10.1016/j.jmsy.2020.07.006