Digital Twin for Safety and Comfort: A Case Study of Sauna

Siavash Haghighat Khajavi, Alireza Jaribion, Adriaan Knapen, Leila Abiedat

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)
199 Downloads (Pure)


This article presents a method to create a digital twin for sauna. The digital twin deploys a data analytics method based on fuzzy similarity measure for data summarization to provide real-time actionable instructions. The intended outcome of the digital twin is enhanced safety and improved sauna experience. In this research, we collected the data through experimentation with a testbed and interviews. Our implemented digital twin simplifies the readings of nineteen sensors into a single graphical form for the user that illustrates the overall sauna conditions and assists the sauna manager with condition optimization. Results illustrated the effectiveness of the digital twin in achieving an enhanced sauna condition for the users and providing the sauna manager with a decision support system. The method of creating the digital twin described in this article has potential implications for the condition monitoring, predictive maintenance, and enhancing the safety and security of complex systems.
Original languageEnglish
Title of host publicationProceedings - IECON 2020
Subtitle of host publication46th Annual Conference of the IEEE Industrial Electronics Society
Number of pages6
ISBN (Electronic)9781728154145
ISBN (Print)978-1-7281-5414-5
Publication statusPublished - 18 Oct 2020
MoE publication typeA4 Conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Virtual, Singapore, Singapore
Duration: 19 Oct 202021 Oct 2020
Conference number: 46


ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON


  • Digital twin
  • Internet of Things
  • Big data analytics
  • Smart building


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