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- W2167549098 abstract "Significant efforts are being made in the improvement of building automation and control systems in order to optimize the performance of buildings (e.g. reduction of energy consumption). As sensor networks in buildings increase, the complexity of managing them also increases. For instance, the generation and maintenance of meta-data about sensors, such as their location within a building, currently requires significant manual labor. The research described in this paper explores the relationship between different HVAC system sensor measurements and physical characteristics of spaces, and its potential application in streamlining the identification of sensor locations within a facility. The energy contained in the conditioned air delivered to each room is presented as a characteristic feature in order to understand the differences between rooms. Being able to understand the relationships between different measurement types and building characteristics is fundamental in achieving an automatic mapping of sensors in buildings, and this paper describes initial observations and results towards this goal." @default.
- W2167549098 created "2016-06-24" @default.
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- W2167549098 date "2014-06-17" @default.
- W2167549098 modified "2023-10-17" @default.
- W2167549098 title "Exploratory Study Towards Streamlining the Identification of Sensor Locations Within a Facility" @default.
- W2167549098 cites W2164539088 @default.
- W2167549098 doi "https://doi.org/10.1061/9780784413616.226" @default.
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