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Aggregate Programming for Customized Building Management and Users Preference Implementation

2022; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-031-15160-6_7

2199-1081

Giorgio Audrito, Ferruccio Damiani, Stefano Rinaldi, Lavinia Chiara Tagliabue, Lorenzo Testa, Gianluca Torta,

Building Energy and Comfort Optimization

Cognitive buildings are equipped with sensors and actuators to customize the indoor conditions according to users’ needs and preferences. The eLUX lab, at the Smart Campus of the University of Brescia (Italy), is the first national cognitive building where educational spaces are monitored and dashboards promote the users’ awareness. There, a fixed IoT network allows gathering data to perform analytics for prompt fault detection and fine-tuning of the conditions and possibly of the energy management. However, the users’ involvement is paramount for correct tuning and customization, as indoor conditions can be measured by a sensor (e.g., temperature, humidity, illuminance, CO2 concentration) located in a single point in the indoor space, while the parameters can strongly vary in the presence of, e.g., a fan coil or the distance from the windows and doors. To address this issue, an RTLS (Real-Time Location System) can be connected to the users’ direct and indirect feedback to support a precise definition of the indoor conditions and boost the improvement of the cognitive behaviour (i.e., automatic window opening or lighting dimming). In this chapter, we illustrate how the eLUX Lab can be enhanced to support the aggregate programming paradigm for offering resilient distributed services (exploiting an RTLS) that run on wearable devices without relying on the connection to a central server.