Beyond Home Automation: Designing More Effective Smart Home Systems

Paolo Carner

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper outlines a Smart Home Proof-of-Concept system that uses a Bayesian Network to predict the likelihood of a monitored event to occur. Firstly, this paper will provide an introduction to the concept of a smart home system; then it will outline how Artificial Intelligence concepts can be used to make such systems more effective. Finally, it will detail the implementation of a smart home system, which uses an inference engine to determine the likelihood of a fire. The system prototype has implemented using a LonWorks™ hardware kit and a Netica™ Bayesian Network engine from Norsys.
Original languageEnglish
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventNinth IT & T Conference - Dublin, Ireland
Duration: 22 Oct 200923 Oct 2009

Conference

ConferenceNinth IT & T Conference
Country/TerritoryIreland
CityDublin
Period22/10/0923/10/09

Keywords

  • Smart Home
  • Bayesian Network
  • Artificial Intelligence
  • inference engine
  • fire detection
  • LonWorks
  • Netica

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