A Distributed Location Sensing Platform for Dynamic Building Models

  • Oguz Icoglu
  • Klaus A. Brunner
  • Ardeshir Mahdavi
  • Georg Suter
Conference paper

DOI: 10.1007/978-3-540-30473-9_13

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3295)
Cite this paper as:
Icoglu O., Brunner K.A., Mahdavi A., Suter G. (2004) A Distributed Location Sensing Platform for Dynamic Building Models. In: Markopoulos P., Eggen B., Aarts E., Crowley J.L. (eds) Ambient Intelligence. EUSAI 2004. Lecture Notes in Computer Science, vol 3295. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Oguz Icoglu
    • 1
  • Klaus A. Brunner
    • 1
  • Ardeshir Mahdavi
    • 1
  • Georg Suter
    • 1
  1. 1.Department of Building Physics and Building EcologyVienna University of TechnologyWienAustria

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