Zobraziť v EDS

Enhanced digital twin for on-site inspections using distributed optical fiber sensors and augmented reality

Uložené v:
Podrobná bibliografia
Názov: Enhanced digital twin for on-site inspections using distributed optical fiber sensors and augmented reality
Autori: Fernandez, Ignasi, 1984, Gil Berrocal, Carlos, 1986, Johansson, Mikael, 1987, Roupé, Mattias, 1975, Rempling, Rasmus, 1976
Zdroj: Automation in Construction. 181
Predmety: Augmented reality, Distributed optic fiber sensors, Enhanced visualization, Inspections, Infrastructure management, Edge computing
Popis: Infrastructure inspections are still largely manual, episodic, and subjective, which delays damage detection and limits data-informed decision making. The paper introduces a Digital Twin framework designed to enhance infrastructure inspections using Distributed Optical Fiber Sensors (DOFS) and Augmented Reality (AR). The framework integrates advanced sensing technologies, edge computing, and web-based applications to provide real-time and historical data visualization during inspections. DOFS technology, known for its high spatial resolution and sensitivity to strain and temperature variations, is utilized to capture high-resolution strain data for continuous structural health monitoring. The framework combines DOFS data with Building Information Modelling (BIM) and AR to create a virtual representation of the assets, enabling precise and efficient on-site inspections. Two case studies demonstrate the practical application of this system: one focusing on historical data visualization and the other on real-time sensor data visualization. The results highlight the framework's ability to provide valuable insights into infrastructure health, improve inspection accuracy, and enhance decision-making processes.
Popis súboru: electronic
Prístupová URL adresa: https://research.chalmers.se/publication/548944
https://research.chalmers.se/publication/548944/file/548944_Fulltext.pdf
Databáza: SwePub
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://research.chalmers.se/publication/548944#
    Name: EDS - SwePub (s4221598)
    Category: fullText
    Text: View record in SwePub
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=09265805&ISBN=&volume=181&issue=&date=20260101&spage=&pages=&title=Automation in Construction&atitle=Enhanced%20digital%20twin%20for%20on-site%20inspections%20using%20distributed%20optical%20fiber%20sensors%20and%20augmented%20reality&aulast=Fernandez%2C%20Ignasi&id=DOI:10.1016/j.autcon.2025.106602
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Fernandez%20I
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsswe
DbLabel: SwePub
An: edsswe.oai.research.chalmers.se.6d96b60a.903d.46a7.9618.d481f044ee8e
RelevancyScore: 1109
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1109.15173339844
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhanced digital twin for on-site inspections using distributed optical fiber sensors and augmented reality
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Fernandez%2C+Ignasi%22">Fernandez, Ignasi</searchLink>, 1984<br /><searchLink fieldCode="AR" term="%22Gil+Berrocal%2C+Carlos%22">Gil Berrocal, Carlos</searchLink>, 1986<br /><searchLink fieldCode="AR" term="%22Johansson%2C+Mikael%22">Johansson, Mikael</searchLink>, 1987<br /><searchLink fieldCode="AR" term="%22Roupé%2C+Mattias%22">Roupé, Mattias</searchLink>, 1975<br /><searchLink fieldCode="AR" term="%22Rempling%2C+Rasmus%22">Rempling, Rasmus</searchLink>, 1976
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>Automation in Construction</i>. 181
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Augmented+reality%22">Augmented reality</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+optic+fiber+sensors%22">Distributed optic fiber sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Enhanced+visualization%22">Enhanced visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Inspections%22">Inspections</searchLink><br /><searchLink fieldCode="DE" term="%22Infrastructure+management%22">Infrastructure management</searchLink><br /><searchLink fieldCode="DE" term="%22Edge+computing%22">Edge computing</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Infrastructure inspections are still largely manual, episodic, and subjective, which delays damage detection and limits data-informed decision making. The paper introduces a Digital Twin framework designed to enhance infrastructure inspections using Distributed Optical Fiber Sensors (DOFS) and Augmented Reality (AR). The framework integrates advanced sensing technologies, edge computing, and web-based applications to provide real-time and historical data visualization during inspections. DOFS technology, known for its high spatial resolution and sensitivity to strain and temperature variations, is utilized to capture high-resolution strain data for continuous structural health monitoring. The framework combines DOFS data with Building Information Modelling (BIM) and AR to create a virtual representation of the assets, enabling precise and efficient on-site inspections. Two case studies demonstrate the practical application of this system: one focusing on historical data visualization and the other on real-time sensor data visualization. The results highlight the framework's ability to provide valuable insights into infrastructure health, improve inspection accuracy, and enhance decision-making processes.
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: electronic
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/548944" linkWindow="_blank">https://research.chalmers.se/publication/548944</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/548944/file/548944_Fulltext.pdf" linkWindow="_blank">https://research.chalmers.se/publication/548944/file/548944_Fulltext.pdf</link>
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.research.chalmers.se.6d96b60a.903d.46a7.9618.d481f044ee8e
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.autcon.2025.106602
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Augmented reality
        Type: general
      – SubjectFull: Distributed optic fiber sensors
        Type: general
      – SubjectFull: Enhanced visualization
        Type: general
      – SubjectFull: Inspections
        Type: general
      – SubjectFull: Infrastructure management
        Type: general
      – SubjectFull: Edge computing
        Type: general
    Titles:
      – TitleFull: Enhanced digital twin for on-site inspections using distributed optical fiber sensors and augmented reality
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fernandez, Ignasi
      – PersonEntity:
          Name:
            NameFull: Gil Berrocal, Carlos
      – PersonEntity:
          Name:
            NameFull: Johansson, Mikael
      – PersonEntity:
          Name:
            NameFull: Roupé, Mattias
      – PersonEntity:
          Name:
            NameFull: Rempling, Rasmus
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09265805
            – Type: issn-locals
              Value: SWEPUB_FREE
            – Type: issn-locals
              Value: CTH_SWEPUB
          Numbering:
            – Type: volume
              Value: 181
          Titles:
            – TitleFull: Automation in Construction
              Type: main
ResultId 1