Conference Proceeding
Refine
Year of publication
- 2021 (48) (remove)
Institute
- Fachbereich Energietechnik (12)
- Fachbereich Elektrotechnik und Informationstechnik (11)
- Fachbereich Luft- und Raumfahrttechnik (10)
- Fachbereich Medizintechnik und Technomathematik (7)
- Solar-Institut Jülich (6)
- ECSM European Center for Sustainable Mobility (5)
- Fachbereich Bauingenieurwesen (5)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (5)
- IfB - Institut für Bioengineering (4)
- Fachbereich Maschinenbau und Mechatronik (2)
Has Fulltext
- no (48)
Language
- English (48) (remove)
Document Type
- Conference Proceeding (48) (remove)
Keywords
- Hydrogen (2)
- NOx emissions (2)
- Out-of-plane load (2)
- PCM (2)
- autonomous driving (2)
- building information modelling (2)
- earthquakes (2)
- electro mobility (2)
- hydrogen (2)
- industrial facilities (2)
Is part of the Bibliography
- no (48)
Nowadays modern high-performance buildings and facilities are equipped with monitoring systems and sensors to control building characteristics like energy consumption, temperature pattern and structural safety. The visualization and interpretation of sensor data is typically based on simple spreadsheets and non-standardized user-oriented solutions, which makes it difficult for building owners, facility managers and decision-makers to evaluate and understand the data. The solution of this problem in the future are integrated BIM-Sensor approaches which allow the generation of BIM models incorporating all relevant information of monitoring systems. These approaches support both the dynamic visualization of key structural performance parameters, the effective long-term management of sensor data based on BIM and provide a user-friendly interface to communicate with various stakeholders. A major benefit for the end user is the use of the BIM software architecture, which is the future standard anyway. In the following, the application of the integrated BIM-Sensor approach is illustrated for a typical industrial facility as a part of an early warning and rapid response system for earthquake events currently developed in the research project “ROBUST” with financial support by the German Federal Ministry for Economic Affairs and Energy (BMWI).