Abstract | ||
---|---|---|
The present contribution describes a scalable approach to vendor and technology independent building monitoring and data processing. Powerful data pre-processing algorithms, virtual data points, automated building model calibration and various software interfaces are implemented across different software modules. The distributed software architecture enables scalable processing of desired data streams for various applications from the building to the urban level. |
Year | Venue | Keywords |
---|---|---|
2015 | JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION | building monitoring, building management system, building automation, building simulation |
Field | DocType | Volume |
Data point,Data stream mining,Data processing,Building management system,Computer science,Building model,Software,Building automation,Computer engineering,Scalability,Distributed computing | Journal | 20 |
ISSN | Citations | PageRank |
1874-4753 | 1 | 0.63 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
robert zach | 1 | 1 | 0.63 |
Harald Hofstätter | 2 | 6 | 3.89 |
c taube | 3 | 1 | 0.63 |
ardeshir mahdavi | 4 | 5 | 4.86 |