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Automated data acquisition to show the actual performance during the construction process

 Automated data acquisition to show the actual performance during the construction process
Autor(en): ,
Beitrag für IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019, veröffentlicht in , S. 1565-1572
DOI: 10.2749/newyork.2019.1565
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In times of workplace digitalization, Building Information Modeling (BIM) is indispensable to the construction industry due to the potential of consistent data tracking and usage. Based on a dynami...
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Bibliografische Angaben

Autor(en): (Bauhaus Universität Weimar)
(Bauhaus Universität Weimar)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019
Veröffentlicht in:
Seite(n): 1565-1572 Anzahl der Seiten (im PDF): 8
Seite(n): 1565-1572
Anzahl der Seiten (im PDF): 8
DOI: 10.2749/newyork.2019.1565
Abstrakt:

In times of workplace digitalization, Building Information Modeling (BIM) is indispensable to the construction industry due to the potential of consistent data tracking and usage. Based on a dynamic working environment as well as specific internal requirements of individual companies, object-oriented planning and processing with BIM-methods still needs adaptation efforts in order to be widely acceptable in the realization phase and on the construction site. Thus, the mapping of actual data on site is deemed the “Achilles’ heel” of successful project control.

This paper presents a concept for automated data acquisition in complex infrastructure construction sites – especially regarding the processes of road construction and earthworks – with emphasis on different innovative digital methods from which actual values regarding the construction progress can be derived and compared to a target model or digital twin. The objective is to avoid subjective misinterpretations, minimize project risks and turn the project into a more responsible enterprise altogether.

Stichwörter:
Infrastruktur Datenerfassung BIM