Building Management Systems (BMS) are widely adopted in modern buildings around the world in order toudprovide high-quality building services, and reduce the running cost of the building. However, most BMS areudfunctionality-oriented and do not consider user personalization. The aim of this research is to capture andudrepresent building management rules using organizational semiotics methods. We implement SemanticudAnalysis, which determines semantic units in building management and their relationship patterns ofudbehaviour, and Norm Analysis, which extracts and specifies the norms that establish how and when theseudmanagement actions occur. Finally, we propose a multi-agent framework for norm based buildingudmanagement. This framework contributes to the design domain of intelligent building management systemudby defining a set of behaviour patterns, and the norms that govern the real-time behaviour in a building.
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