Chapter

Ambient Intelligence

Volume 3295 of the series Lecture Notes in Computer Science pp 124-135

A Distributed Location Sensing Platform for Dynamic Building Models

  • Oguz IcogluAffiliated withDepartment of Building Physics and Building Ecology, Vienna University of Technology
  • , Klaus A. BrunnerAffiliated withDepartment of Building Physics and Building Ecology, Vienna University of Technology
  • , Ardeshir MahdaviAffiliated withDepartment of Building Physics and Building Ecology, Vienna University of Technology
  • , Georg SuterAffiliated withDepartment of Building Physics and Building Ecology, Vienna University of Technology

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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.