Talks and Poster Presentations (with Proceedings-Entry):

R. Zach, M. Schuss, R. Bräuer, A. Mahdavi:
"Improving building monitoring using a data preprocessing storage engine based on MySQL";
Talk: ECPPM2012 eWork and eBusiness in Architecture, Engineering and Construction,, Reykjavík, Island; 2012-07-25 - 2012-07-27; in: "eWork and eBusiness in Architecture, Engineering and Construction", G. Gudnason, R. Scherer et al. (ed.); Taylor & Francis, (2012), ISBN: 978-0-415-62128-1; 151 - 157.

English abstract:
This paper describes a database system designed to historically store and process various building
data streams. Storage rules minimize database load while a number of data preprocessing functions enable
effective data analysis. Various performance optimizations minimize required computer resources.A real world
implementation demonstrates the utility of the storage engine in a realistic and practical context. Performance
benchmarks are conducted to show the practical limits.

German abstract:
see english version

Related Projects:
Project Head Ardeshir Mahdavi:
Monitoringgestützte automatische Modellkalibrierung für Gebäudesteuerung und ¿diagnose

Project Head Ardeshir Mahdavi:
Ubiquitäres und Dynamisches Gebäudeperformance - Monitoring

Created from the Publication Database of the Vienna University of Technology.