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A Software Architecture for Decision Support of Building Sensor Data

Building operators need to interpret the high volumes of noisy data generated from the environmental sensors in their buildings. In this paper we propose a software architecture which processes the building monitor data to provide enhanced decision support in the form of assessments and accurate summaries to building operators in order to improve the quality of building performance. Our architecture has been tested on over 8 days worth of continuous data and the results are very encouraging.