TY  - CHAP
A1  - Butenweg, Christoph
ED  - Kuzmanović, Vladan
ED  - Ignjatović, Ivan
T1  - Integrated approach for monitoring and management of buildings with digital building models and modern sensor technologies
T2  - Proceedings of the International Conference Civil Engineering 2021 - Achievements and Visions
N2  - 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).
Y1  - 2021
N1  - Civil Engineering 2021 – Achievements and Visions, University of Belgrade, October 25 – 26, 2021 Belgrade, Serbia
SP  - 67
EP  - 75
PB  - University of Belgrade
CY  - Belgrade
ER  - 
TY  - CHAP
A1  - Bornheim, Tobias
A1  - Grieger, Niklas
A1  - Bialonski, Stephan
T1  - FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning
T2  - Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments : 17th Conference on Natural Language Processing KONVENS 2021
Y1  - 2021
U6  - https://doi.org/10.48415/2021/fhw5-x128
N1  - KONVENS (Konferenz zur Verarbeitung natürlicher Sprache/Conference on Natural Language Processing) 2021, 6. - 9. September 2021, Düsseldorf
SP  - 105
EP  - 111
PB  - Heinrich Heine University
CY  - Düsseldorf
ER  - 
TY  - CHAP
A1  - Balaskas, Georgios
A1  - Hoffmeister, Benno
A1  - Butenweg, Christoph
A1  - Pilz, Marco
A1  - Bauer, Anna
ED  - Papadrakakis, Manolis
ED  - Fragiadakis, Michalis
T1  - Earthquake early warning and response system based on intelligent seismic and monitoring sensors embedded in a communication platform and coupled with BIM models
T2  - Proceedings of COMPDYN 2021
N2  - This paper describes the concept of an innovative, interdisciplinary, user-oriented earthquake warning and rapid response system coupled with a structural health monitoring system (SHM), capable to detect structural damages in real time. The novel system is based on interconnected decentralized seismic and structural health monitoring sensors. It is developed and will be exemplarily applied on critical infrastructures in Lower Rhine Region, in particular on a road bridge and within a chemical industrial facility. A communication network is responsible to exchange information between sensors and forward warnings and status reports about infrastructures’health condition to the concerned recipients (e.g., facility operators, local authorities). Safety measures such as emergency shutdowns are activated to mitigate structural damages and damage propagation. Local monitoring systems of the infrastructures are integrated in BIM models. The visualization of sensor data and the graphic representation of the detected damages provide spatial content to sensors data and serve as a useful and effective tool for the decision-making processes after an earthquake in the region under consideration.
KW  - early warning and response system
KW  - interconnected sensor systems
KW  - seismic structural damage detection via SHM
KW  - integration SHM in BIM
Y1  - 2021
SN  - 978-618-85072-5-8
U6  - https://doi.org/10.7712/120121.8539.18855
SN  - 2623-3347
N1  - COMPDYN 2021, 28-30 June 2021, Streamed from Athens, Greece, 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering
SP  - 987
EP  - 998
PB  - National Technical University of Athens
CY  - Athen
ER  -