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Digital twins for sewer systems maintenance: a systematic literature review
Publikationstyp
Conference Paper
Date Issued
2025
Sprache
English
Author(s)
Gomez, Raquel Valles
Gölzhäuser, Peter
Al-Zuriqat, Thamer
First published in
Number in series
683
Start Page
345
End Page
357
Citation
24th International Conference on Construction Applications of Virtual Reality, CONVR 2024
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer
ISBN of container
978-981968760-2
Sewage systems are critical urban infrastructure elements, essential for flood prevention, environmental protection, and public health. As part of sewage system infrastructure, and similar to other infrastructure, sewer systems are deteriorating due to aging. Current maintenance measures for sewer systems predominantly rely on manual processes based on heterogeneous and inconsistent data. However, digital sewer models are expected to facilitate proactive maintenance strategies to mitigate damage and extend the lifespan of sewer systems. This paper investigates current state-of-the-art research concerning the implementation of digital twins in sewer system maintenance during the operating phase through a systematic literature review (SLR). The findings indicate that digital twins offer numerous advantages for proactive maintenance in sewer systems, specifically for sewer system assessment and damage prognosis. Nonetheless, in the current body of research, confusion between digital twins and simpler digital shadows and digital models is apparent. Furthermore, the implementation of digital twins for sewer system maintenance is associated with several challenges, including data-related, technological, and methodological challenges. Finally, the outcome of the SLR sheds light on potential research directions towards realizing digital twins based on building information modeling (BIM), e.g., BIM-based digital twins, for sewer system maintenance.
Subjects
Building information modeling (BIM)
Digital twin
Digitalization in construction
Proactive maintenance
Sewage systems
Sewer systems
DDC Class
620: Engineering