Synergizing BIM, Digital Twin, and XR: An Approach for Real-Time Building Analysis and Enhanced Laboratory Management

Lehmann, Joel and Kastner, Kevin and Kolb, Florian and Häußermann, Tim and Rache, Alessa and Wühler, Felix and Rädle, Matthias and Reichwald, Julian (2024) Synergizing BIM, Digital Twin, and XR: An Approach for Real-Time Building Analysis and Enhanced Laboratory Management. KEEP ON PLANNING FOR THE REAL WORLD. Climate Change calls for Nature-based Solutions and Smart Technologies. Proceedings of REAL CORP 2024, 29th International Conference on Urban Development, Regional Planning and Information Society. pp. 579-589. ISSN 2521-3938

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Abstract

The emerging shift in the use of innovative and digital technologies in the architecture, engineering, and construction (AEC) industry promises an opportunity to create consistent, system-intelligent buildings that provide a reliable source of all relevant information about the building for maintenance, technical management, or decision-making processes in real time. For this vision, the integration of Building Information Modeling (BIM), Digital Twins (DTs), Internet of Things (IoT), and Extended Reality (XR) in the context of operative building management and research data utilization within laboratory environments proves to be essential to leverage smart buildings as an enabling pillar of a smart city. This paper presents a novel approach for in situ generation of 3D building models from point cloud scans, providing a valid real-time representation of the existing state of a building. This process significantly enhances the accuracy and utility of BIM in existing structures where pre-existing digital models are not available. Further, we delve into the enrichment of these models with IoT sensors strategically placed within building spaces. These sensors are designed to monitor indoor air quality and occupancy through motion detection, offering a comprehensive view of the buildings environmental and usage patterns. This real-time data, coupled with the integration of laboratory measurement devices and their DT, facilitates a more dynamic and responsive building management system. In contrast to the majority of current approaches and concepts in research, the resulting models emphasize live data and, in accordance with the definition of a DTs, reflect the state and feedback representation bidirectionally into the virtual space and vice versa back into the physical space substantiated by XR technologies. An essential component of our methodology is the development of interfaces between the BIM model and DTs of laboratory equipment, seamlessly incorporating the generated research data into the building model. This integration ensures that the BIM model remains a central, up-to-date repository of both physical and functional characteristics of the building and its contents. Moreover, we introduce a collaborative XR environment, enabling transdisciplinary teams to interact with and analyze the BIM model and associated data in a highly immersive and intuitive manner. This XR platform fosters enhanced collaboration and decision-making, bridging the gap between various stakeholders involved in building management and research. The approach demonstrates the potential of utilizing advanced technologies to not only create these models post-construction but also to continuously update and enrich them with operational data, thereby facilitating a more efficient and informed management process. Providing standardized interfaces to smart buildings with the BIM and IoT information obtained through the concepts presented can also create added value in the context of smart cities through clusters of such smart buildings. This paper contributes to the field by showcasing how the synergy of BIM, DTs, IoT, and XR can revolutionize building management and Research Data Management (RDM), offering a comprehensive, real-time, and interactive digital representation of physical spaces and their operational dynamics.

Item Type:	Article
Uncontrolled Keywords:	Research Data Management, Extended Reality, Building Information Modelling, Augmented Reality, Digital Twin
Subjects:	N Fine Arts > NA Architecture Q Science > QA Mathematics > QA76 Computer software T Technology > TA Engineering (General). Civil engineering (General)
Depositing User:	REAL CORP Administrator
Date Deposited:	30 Apr 2024 08:29
Last Modified:	10 May 2024 09:08
URI:	http://repository.corp.at/id/eprint/1123

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