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Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2022; Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen, Diagramme (2022). = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2022, Technical systems in the Architecture, Engineering, Construction and Operations (AECO) industry are complex interconnected structures that are interdependent with each other and with spatial entities. Over the life cycle of technical systems, different stakeholders with various information needs and software applications work together in temporary organizations. To cope with this high complexity, large amounts of data have to be processed and exchanged. Building Information Modeling (BIM) makes it possible to represent this data as structured, digital information in machine-readable representations. However, not all hierarchical, structural, and functional aspects of technical systems can be represented in current data models and linked with information on further domains. Therefore, Semantic Web Technologies (SWT) offer the possibility to link information web-based on data level and to define a common terminology for the description of resources in the form of knowledge representations with the help of ontologies. Against this background, the current state of the art for the representation of technical systems in the AECO industry, based on SWT, is analyzed. Furthermore, shortcomings with respect to the holistic representation according to general systems theory are identified. Building on this, TSO is explained as a knowledge representation for an integrated explicit representation of linked technical systems, their hierarchical subdivision, structural and functional interconnections, and relationships to spatial entities. As such, TSO supports the effort to represent linkable information in a future semantic web of building data. In addition, a method and its modular implementation for informational enrichment, topological complexity reduction, and transfer of information from Industry Foundation Classes (IFC) models to TSO are presented. The modular design enables the usage of the individual process steps independently and, thus, also for review processes and quality assurance of technical systems in BIM models. For validation purposes, a fictitious and a real project are used to show that the information required for an holistic representation can be enriched and transferred from IFC models to TSO as well as represented in TSO. With respect to the representation, use cases from the planning and operation phases are considered in detail. Finally, the findings are critically discussed and corresponding limitations as well as the need for further research are pointed out., Published by RWTH Aachen University, Aachen

Enhancing interoperability and information exchange between domain-specific software products for BIM is an important aspect in the Architecture, Engineering, Construction and Operations industry. Recent research started investigating methods from the areas of machine and deep learning for semantic enrichment of BIM models. However, training and evaluation of these machine learning algorithms requires sufficiently large and comprehensive datasets. This work presents IFCNet, a dataset of single-entity IFC files spanning a broad range of IFC classes containing both geometric and semantic information. Using only the geometric information of objects, the experiments show that three different deep learning models are able to achieve good classification performance., To be presented at EG-ICE 2021

LDAC2021, 9th Linked Data in Architecture and Construction Workshop : proceedings of the 9th Linked Data in Architecture and Construction Workshop (LDAC 2021), Luxembourg, October 11th-13th 2021 / Edited by María Poveda-Villalón, Pieter Pauwels 9th Linked Data in Architecture and Construction Workshop, LDAC2021, Luxembourg, Luxembourg, 11 Oct 2021 - 13 Oct 2021; Aachen : RWTH Aachen, CEUR Workshop Proceedings 3081, 43-54 (2021)., Published by RWTH Aachen, Aachen

BauSIM 2020 : 8th Conference of IBPSA Germany and Austria, 23-25 September 2020, Graz University of Technology, Austria : proceedings / M. Monsberger, C. J. Hopfe, M. Krüger, A. Passer (editors) ; Institute of Building Construction, Institut für Hochbau Graz University of Technology 8th Conference of IBPSA Germany and Austria, BauSIM 2020, online, 23 Sep 2020 - 25 Sep 2020; Graz : Verlag der Technischen Universität Graz 599-606 (2020)., Published by Verlag der Technischen Universität Graz, Graz