Name
Abstract | ||
|---|---|---|
Emerging technologies in building automation have the potential to, increase the quality and cost effectiveness of services in the building industry. However, insufficient range of collected data and models of the physical and behavioural aspects of the facilities limit the capabilities of building automation systems. We describe a project for improving building services by collecting comprehensive data from variable sources and generating high-resolution models of buildings. In this context, location sensing is critical not only for data collection, but also for constructing models of buildings as dynamic environments. We first examine a range of existing location sensing technologies from the building automation perspective. We then outline the implementation of a specific location sensing system together with respective test results. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30473-9_13 | AMBIENT INTELLIGENCE, PROCEEDINGS |
Keywords | Field | DocType |
cost effectiveness,high resolution,emerging technology,building automation systems,data collection | Data collection,Data modeling,Sensing system,Building industry,Computer science,Simulation,Sensor array,Automation,Emerging technologies,Building automation | Conference |
Volume | ISSN | Citations |
3295 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oguz Icoglu | 1 | 25 | 2.57 |
| Klaus A. Brunner | 2 | 0 | 0.34 |
| ardeshir mahdavi | 3 | 5 | 4.86 |
| Georg Suter | 4 | 0 | 0.34 |