A semiotic multi-agent system for intelligent building control

  • Authors:
  • Darren Booy;Kecheng Liu;Bing Qiao;Chris Guy

  • Affiliations:
  • The University of Reading, Centre;University of Reading, Centre;University of Reading;University of Reading

  • Venue:
  • Proceedings of the 1st international conference on Ambient media and systems
  • Year:
  • 2008

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Abstract

Intelligent agents have often been used within intelligent buildings for autonomous actuation of heating, ventilation and air conditioning systems (HVAC) within intelligent buildings. Ubiquitous wireless sensors send environmental data such as temperature, which is then calculated by the agents in compliance to building policies and stakeholder requirements. In this paper, we describe an organisational semiotic approach to designing intelligent agents and a proof of concept in MASBO (Multi-Agent System for Building cOntrol); a multi-agent system designed to provide coordinated management on Building control HVAC systems within an intelligent building. Overall, the system will provide automated assessment of the environment in realtime using readily deployable wireless sensors to personalize occupants' micro-environment and thus achieve optimal wellbeing and productivity.