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A Slim Digital Twin For A Smart City And Its Residents

  • In the engineering domain, representing real-world objects using a body of data, called a digital twin, which is frequently updated by “live” measurements, has shown various advantages over tradi- tional modelling and simulation techniques. Consequently, urban planners have a strong interest in digital twin technology, since it provides them with a laboratory for experimenting with data before making far-reaching decisions. Realizing these decisions involves the work of professionals in the architecture, engineering and construction (AEC) domain who nowadays collaborate via the methodology of building information modeling (BIM). At the same time, the citizen plays an integral role both in the data acquisition phase, while also being a beneficiary of the improved resource management strategies. In this paper, we present a prototype for a “digital energy twin” platform we designed in cooperation with the city of Regensburg. We show how our extensible platform de- sign can satisfy the various requirements of multiple user groups through a series of data processing solutions and visualizations, in- dicating valuable design and implementation guidelines for future projects. In particular, we focus on two example use cases concern- ing building electricity monitoring and BIM. By implementing a flexible data processing architecture we can involve citizens in the data acquisition process, meeting the demands of modern users regarding maximum transparency in the handling of their data.

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Metadaten
Author:Simon ThelenORCiD, Friedrich EderORCiDGND, Matthias MelzerORCiD, Danilo Weber NunesORCiD, Michael StadlerORCiD, Christian RechenauerORCiDGND, Mathias ObergrießerORCiD, Ruben JubehORCiDGND, Klaus VolbertORCiD, Jan DünnweberORCiDGND
DOI:https://doi.org/10.1145/3628797.3628936
ISBN:979-8-4007-0891-6
Parent Title (English):SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam
Publisher:ACM
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2023
Release Date:2024/01/12
Tag:AI; BIM; artificial intelligence; digital twin; portal system; smart city; urban planning
First Page:8
Last Page:15
Institutes:Fakultät Informatik und Mathematik
Regensburg Center for Artificial Intelligence - RCAI
Begutachtungsstatus:peer-reviewed
research focus:Digitalisierung
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG