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