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

Chunlong Wu*, Youcheng Zhou, Marcus Vinicius Pereira Pessôa, Qingjin Peng, Runhua Tan

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
JournalJournal of manufacturing systems
DOIs
Publication statusE-pub ahead of print/First online - 10 Aug 2020

Keywords

  • Conceptual modeling
  • Digital twin
  • Function modeling
  • Intelligent vehicle
  • TRIZ

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