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Author(s):	Paskaleva, Galina; Niedermoser, Christoph; Vierhauser, Michael; Mazak-Huemer, Alexandra; Hruschka, Sabine; Huemer, Christian
Title:	Data Drops for Tunnel Information Modelling
Abstract:	In the Architecture, Engineering and Construction (AEC) industry, as well as in the tunnelling domain, inter-company processes between partners in different roles in large-scale construction projects still exhibit great potential towards digitalisation. Thereby, information should be seamlessly shared between partners according to the Building Information Modelling (BIM) paradigm. Today, different types of artefacts (e.g., models, plans, documents, etc.) are shared at different points in time, which differ in terms of requirements, information content, as well as data formats. In this article, we extend and prototypically implement the concept of Data Drops to provide those artefacts in a digitalised form via a shared Data Drop management platform. For this purpose, we have developed a formal, well-defined indexed data structure on a metadata level. This not only facilitates traceability, but also enables searching for specific meta-information and provides a common view on Data Drops. In addition, a networked view between different drops can be provided. The approach is being evaluated on the use case of a real tunnel construction project. Data Drops im Tunnelbau In der AEC-Branche (Architektur, Ingenieur- und Bauwesen) wie auch im Tunnelbau haben unternehmensübergreifende Prozesse zwischen Partnern in unterschiedlichen Rollen bei großen Bauprojekten nach wie vor ein großes Potenzial hinsichtlich der Digitalisierung. Dabei sollen Informationen nach dem Building Information Modelling (BIM)-Paradigma nahtlos zwischen den Partnern ausgetauscht werden können. Heute werden zu unterschiedlichen Zeitpunkten verschiedene Arten von Artefakten (z. B. Modelle, Pläne, Dokumente, etc.) ausgetauscht, die sich in Bezug auf Anforderungen, Informationsgehalt und Datenformate unterscheiden. In diesem Beitrag wird das Konzept der Data Drops erweitert und prototypisch implementiert, um diese Artefakte in digitalisierter Form mittels einer Data Drop Managementplattform zur Verfügung zu stellen. Zu diesem Zweck entwickeln wir eine formal wohldefinierte indexierte Datenstruktur auf Metadatenebene. Dies ermöglicht die Nachvollziehbarkeit, Auffindbarkeit sowie eine gemeinsame Sicht auf die Data Drops. Zusätzlich kann auch eine vernetzte Sicht zwischen verschiedenen Drops bereitgestellt werden. Dieser Ansatz wird am Anwendungsfall eines realen Tunnelbauprojekts evaluiert.
Source:	Geomechanics and Tunnelling 15 (2022), No. 3
Page/s:	267-271
Language of Publication:	English/German

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