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Book Chapter

A Semantic Digital Twin Prototype for Workplace Performance Assessment

  • Alessandro Bruttini
  • Philipp Hagedorn
  • Felix Cleve
  • Vito Getuli
  • Pietro Capone
  • Markus König

Nowadays, despite the growing attention to indoor environmental quality and comfort, existing workplaces still often fail to meet employees’ expectations and needs, affecting their well-being and productivity. In order to improve management decisions, crucial insights can be provided by the timely correlation of objective workplace conditions, observed by sensors, and subjective workers’ feedback, collected through Ecological Momentary Assessment (EMA) method. This paper presents a prototypical Digital Twin for the assessment of workplace performance from an occupant-centric perspective, based on the integration of IoT, BIM and Semantic Web technologies. Following the definition of relevant use cases and requirements a layered system architecture is presented and the prototype implementation is discussed. For capturing the workplace’s environmental properties, a sensor network based on the Zigbee communication standard is proposed due to its data transmission efficiency. The measured data, converted in the lightweight MQTT protocol, are streamed to an InfluxDB time series database where they are stored along with the incoming workers’ feedback collected as survey responses with a dedicated web application. These time series data are queried and transported into a developed web platform for integrating BIM and RDF data within the standardized structure of Information Containers for linked Document Delivery (ICDDs). Inside this platform, the IFC model of the workplace, the measured data from the sensors, and the worker generated RDF data according to the WOMO ontology for occupant-centric workplace management are linked. The capabilities of the workplace Digital Twin prototype are finally demonstrated querying the linked heterogeneous data to fulfil workplace management tasks in a case study provided at the end of the paper

  • Keywords:
  • Digital Twin,
  • Workplace performance assessment,
  • Well-being and productivity,
  • Linked Data,
  • Information Container for linked Document Delivery (ICDD),
  • Semantic Web,
  • Internet-of-Things (IoT).,
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Alessandro Bruttini

University of Florence, Italy - ORCID: 0000-0001-6317-2406

Philipp Hagedorn

Ruhr-University Bochum, Germany - ORCID: 0000-0002-6249-243X

Felix Cleve

Ruhr-University Bochum, Germany

Vito Getuli

University of Florence, Italy - ORCID: 0000-0001-8470-2648

Pietro Capone

University of Florence, Italy - ORCID: 0000-0001-9294-7653

Markus König

Ruhr-University Bochum, Germany - ORCID: 0000-0002-2729-7743

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  • Publication Year: 2023
  • Pages: 1193-1205

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  • Publication Year: 2023

Chapter Information

Chapter Title

A Semantic Digital Twin Prototype for Workplace Performance Assessment

Authors

Alessandro Bruttini, Philipp Hagedorn, Felix Cleve, Vito Getuli, Pietro Capone, Markus König

DOI

10.36253/979-12-215-0289-3.118

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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