TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. Implementing information container to link multi-models for semantic digital twins
 
Options

Implementing information container to link multi-models for semantic digital twins

Citation Link: https://doi.org/10.15480/882.13551
Publikationstyp
Conference Paper
Date Issued
2024-09-18
Sprache
English
Author(s)
Zhang, Yingying  
TORE-DOI
10.15480/882.13551
TORE-URI
https://hdl.handle.net/11420/49659
Start Page
464
End Page
471
Citation
35. Forum Bauinformatik, fbi 2024: 464-471
Contribution to Conference
35. Forum Bauinformatik, fbi 2024  
Publisher
Technische Universität Hamburg, Institut für Digitales und Autonomes Bauen
Peer Reviewed
true
Infrastructure Digital Twins (DTs) are commonly understood as up-to-date virtual representations of the physical infrastructure assets. The Digital Twins data pattern contains not only geometric and spatial aspects of the physical entities but also incorporates heterogeneous information including specifications, sensor data, performance metrics, maintenance records, and operational reports. At the same time, the continued expansion of the Digital Twin system without proper modeling, decoupling, and optimization of control workflows will further reduce its manageability and reliability. This paper presents a data archiving method using an Information Container for linked Document Delivery (ICDD), which is primarily based on ISO 21597, to containerize heterogeneous Digital Twins payload in arbitrary formats and provide validation services. The proposed container uses a standardized structure to implement services such as data linking, version control, and access control, thus making the Digital Twin data archiving more efficient and reliable.
Subjects
Digital Twin (DT)
Information Container for linked Document Delivery (ICDD)
Linked Data,
Semantic Web
DDC Class
004: Computer Sciences
720: Architecture
620: Engineering
Lizenz
https://creativecommons.org/licenses/by/4.0/
Loading...
Thumbnail Image
Name

Implementing information container to link multi-models for Semantic Digital Twins.pdf

Size

399.62 KB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback