Digital twin for subcritical extraction driven by data-mechanism fusion

Addressing the key issue of low automation in the production process due to the complex associations involved in sub-critical extraction, this study focuses on sub-critical extraction as the subject matter. It integrates data models with mechanism models to construct a multidimensional digital twin...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2816; no. 1; pp. 12023 - 12029
Main Authors Yan, Yuhang, Zhang, Huibing, Pan, Fang, Jai, Fei
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.08.2024
Subjects
Data transmission
Digital twins
Multidimensional methods
Production lines
Real time
Virtual reality
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ISSN1742-6588
1742-6596
DOI10.1088/1742-6596/2816/1/012023

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Summary:Addressing the key issue of low automation in the production process due to the complex associations involved in sub-critical extraction, this study focuses on sub-critical extraction as the subject matter. It integrates data models with mechanism models to construct a multidimensional digital twin model and conduct systematic research. By combining simulation methods with real-time experimental data, the study establishes multilevel machine characteristics of data, behavior, and mechanisms, and identifies data patterns. From the perspectives of the physical production line, virtual production line, and data transmission, it builds an interactive mapping platform for multi-source data and carries out corresponding application research.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2816/1/012023