@inproceedings{ThelenEderMelzeretal., author = {Thelen, Simon and Eder, Friedrich and Melzer, Matthias and Weber Nunes, Danilo and Stadler, Michael and Rechenauer, Christian and Obergrießer, Mathias and Jubeh, Ruben and Volbert, Klaus and D{\"u}nnweber, Jan}, title = {A Slim Digital Twin For A Smart City And Its Residents}, series = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam}, booktitle = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam}, publisher = {ACM}, isbn = {979-8-4007-0891-6}, doi = {10.1145/3628797.3628936}, pages = {8 -- 15}, abstract = {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.}, language = {en} } @inproceedings{EderEuringerObergriesser, author = {Eder, Friedrich and Euringer, Thomas and Obergrießer, Mathias}, title = {Ansatz zur automatisierten Ableitung eines objektorientierten BIM-Modells in eine relationelle Datenbank}, series = {31. Forum Bauinformatik: 11. bis 13. September 2019 in Berlin, proceedings}, booktitle = {31. Forum Bauinformatik: 11. bis 13. September 2019 in Berlin, proceedings}, editor = {Sternal, Maximilian and Ungureanu, Lucian-Constantin and B{\"o}ger, Laura and Bindal-Gutsche, Christoph}, publisher = {Universit{\"a}tsverlag der TU Berlin}, address = {Berlin}, isbn = {978-3-7983-3105-1}, doi = {10.14279/depositonce-8763}, pages = {133 -- 139}, language = {de} } @inproceedings{SchmailzlSpitzhirnEderetal., author = {Schmailzl, Marc and Spitzhirn, M. and Eder, Friedrich and Kr{\"u}ll, Georg and Obergrießer, Mathias and Linner, Thomas and Albalkhy, Wassim and Lafhaj, Zoubeir}, title = {Towards interfacing human centered design processes with the AEC industry by leveraging BIM-based planning methodologies}, series = {40th International Symposium on Automation and Robotics in Construction (ISARC 2023): Chennai, India, July 3-9, 2023}, booktitle = {40th International Symposium on Automation and Robotics in Construction (ISARC 2023): Chennai, India, July 3-9, 2023}, publisher = {I.A.A.R.C.}, isbn = {978-0-6458322-0-4}, issn = {2413-5844}, doi = {10.22260/ISARC2023/0045}, pages = {325 -- 332}, abstract = {Digital workflows in the Architecture, Engineering and Construction (AEC) industry have been working with a wide range of software solutions trying to enable a Design-to-Production (DtP) end-to-end data flow. Thereby, state-of-the-art software solutions attempt to streamline the design and production processes accordingly. However, most digital workflows lack in terms of adequate sequential data preparation, agglomeration, and interfacing capabilities for consecutive design phases. These issues result in long, tedious correction loops, a wide range of software solutions and extensions to mitigate the issues. In addition, many digital workflows do not consider or integrate construction, production and machine relevant data holistically (respectively geometry and semantics). In this context, the production relevant data in from of human-centered work process data referring to digital human models (DHM), derived human abilities, safety and ergonomic criteria are often neglected. However, this is essential to interface the construction, human and machine relevant data in a holistic manner. This paper therefore proposes a DtP-workflow which is intended to solve some of the issues by interfacing relevant software solutions incorporating construction, production (including DHM and more) and machine relevant data in a holistic manner using a Building Information Modeling (BIM)-approach (based on the IFC schema). In this regard, the DtP-workflow aims to reverse common top-down digital workflows by considering and integrating the relevant data for consecutive design phases from the beginning. Subsequently, the DtP-workflow should achieve a reduction in planning effort.}, language = {en} } @misc{Eder, type = {Master Thesis}, author = {Eder, Friedrich}, title = {Entwicklung eines Software-Tools zur automatisierten Ableitung eines Struktur- und Volumenmodells in eine SQLite Datenbank mit Hilfe der Revit API}, address = {Regensburg}, doi = {10.35096/othr/pub-566}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-5660}, school = {Ostbayerische Technische Hochschule Regensburg}, pages = {50}, abstract = {Die Verf{\"u}gbarkeit von Modelldaten die reich an geometrischen als auch semantischen Informationen sind, ist eine der Grundvoraussetzungen das enorme Potenzial der Digitalisierung gewinnbringend im Planen, Bauen und Betreiben von Bauwerken auszusch{\"o}pfen. Mittlerweile liegen auch im Bauwesen vom Laserscanning bis hin zu Protokollen von Maschinendaten vielschichtige und objektspezifische Daten vor, die sich hinsichtlich des Building Information Modelling effizient einsetzen lassen. Im Rahmen der hier vorgestellten Arbeit wird ein Ansatz beschrieben, wie {\"u}ber ein entsprechendes Application Programming Interface aus einem objektorientierten BIM-Modell eine relationale Datenbank f{\"u}r Volumen- und Strukturmodelle abgeleitet werden kann. Ziel ist es, {\"u}ber die relationale Datenbank geometrisch-topologische Daten f{\"u}r unterschiedliche Autoren-Software bereitzustellen. Die Arbeit soll die Vorz{\"u}ge einer redundanzfreien Vorhaltung geometrisch-topologischer und semantischer Bauteilinformationen in einer relationalen Datenbank zeigen.}, language = {de} } @article{HoengEderKrausetal., author = {H{\"o}ng, Simon and Eder, Friedrich and Kraus, Michael A. and Obergrießer, Mathias}, title = {Entwicklung einer synthetischen Datenpipeline zum dom{\"a}nen-spezifischen Lernens eines neuronalen Netzes im Bauwesen [in progress]}, series = {Bauingenieur}, volume = {98}, journal = {Bauingenieur}, publisher = {VDI-Fachmedien}, address = {D{\"u}sseldorf}, issn = {1436-4867}, language = {de} } @inproceedings{HoengEder, author = {H{\"o}ng, Simon and Eder, Friedrich}, title = {Methode zur Generierung multimodalersynthetischer Daten aus parametrischen BIM-Modellen zur Nutzung in KI-Systemen}, series = {Tagungsband 34. Forum Bauinformatik, 06. - 08.09.2023, Bochum}, booktitle = {Tagungsband 34. Forum Bauinformatik, 06. - 08.09.2023, Bochum}, doi = {10.13154/294-10130}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:294-101306}, pages = {398 -- 405}, abstract = {F{\"u}r die erfolgreiche Implementierung von KI-Systemen ist eine große Menge an relevanten (und gelabelten) Trainingsdaten n{\"o}tig. Die Datenqualit{\"a}t, Format, Struktur und nicht zuletzt urheberrechtliche Belange schr{\"a}nken die unmittelbare Nutzung vorhandener Daten ein und hindern die gewinnbringende Nutzung dieser Technologien in der Praxis. In diesem Beitrag wird ein Ansatz vorgestellt, der auf Basis einer parametrischen bzw. regelbasierten Erstellung von BIM-Modellen synthetische, gelabelte Trainingsdaten f{\"u}r die nachgelagerte Nutzung in diversen KI-Workflows generiert. Die Modelle werden mithilfe einer C\#-Anwendung {\"u}ber die API von Autodesk Revit erzeugt und k{\"o}nnen durch automatisiertes Postprocessing mittels Python zu annotierten Daten in g{\"a}ngigen Austauschformaten aufbereitet werden. Die synthetischen Bauwerksmodelle erm{\"o}glichen die Ableitung multimodaler Trainings-Datens{\"a}tze. Das heißt, sie k{\"o}nnen in unterschiedlichen Dateiformaten vorgehalten werden. Dadurch lassen sich Datens{\"a}tze erzeugen, die auf den jeweiligen Anwendungsfall zugeschnitten sind (z. B.: Rastergrafiken, Punktwolken, CAD- oder BIM-Formate). Die Daten lassen sich somit in entsprechende KI-Systeme integrieren. Dieser L{\"o}sungsansatz wird am Anwendungsbeispiel einer KI-gest{\"u}tzten Objektklassifizierung in 2D-Pl{\"a}nen auf Basis synthetischer Datens{\"a}tze im COCO-Format durchgef{\"u}hrt. Die k{\"u}nstlich erzeugten Plandaten in Anlehnung an Positionspl{\"a}ne von rasterf{\"o}rmig aufgebauten Skelettbauwerken konnten erfolgreich einem KI-System als Trainingsdaten zugef{\"u}hrt werden. Damit wird die nahtlose Verkettung der einzelnen Prozessschritte (Modellierung, Annotation, Integration) validiert. Die Ergebnisse werden abschließend evaluiert und Optimierungsans{\"a}tze diskutiert.}, language = {de} } @inproceedings{SchmailzlSaffertKaramaraetal., author = {Schmailzl, Marc and Saffert, Anne-Sophie and Karamara, Merve and Linner, Thomas and Eder, Friedrich Anton and Hoeng, Simon Konrad and Obergriesser, Mathias}, title = {Enhancing Decision-Making for Human-Centered Construction Robotics: A Methodological Framework}, series = {Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC), Lille, France}, booktitle = {Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC), Lille, France}, publisher = {International Association for Automation and Robotics in Construction (IAARC)}, isbn = {978-0-6458322-1-1}, issn = {2413-5844}, doi = {10.22260/ISARC2024/0083}, pages = {637 -- 644}, abstract = {While the Architecture, Engineering, and Construction (AEC) industry is increasingly aware of the rising demands for productivity and human-centered construction improvements, the holistic adoption of robotics as a fundamental strategy to address these challenges has not yet reached comprehensive fruition. This paper therefore introduces a methodological framework aiming to address the industry's pressing need for a systematic approach for assessing the feasibility of integrating robotics into human-centered construction processes. It aims to enhance decision-making regarding the degree of automation in human-centered construction processes, ranging from partial to full robotization or non-robotization. The framework is characterized by a more holistic end-to-end data-/workflow and therefore adopts a multifaceted approach, leveraging BIM-based planning methodologies and integrating new technologies [e.g., Motion Capturing (MoCap), work process simulation software incorporating Digital Human Models (DHM), self-developed conversion/interfacing software and more] that have not been widely used in the industry to date. Subsequently, the framework is evaluated in a real-life bricklaying construction process to ensure a more application-based approach. Overall, the framework advances current construction processes with a more inclusive and conscious technology infill to empower construction professionals with the workflow and corresponding tools necessary for the practical integration of robotics into human-centered construction processes.}, language = {en} }