The Internet of Things paradigm has introduced the use of countless smart devices into our daily lives. These devices are able to assist us in our daily tasks, making the environments we experience increasingly pervasive. The most significant examples are smart cities, home monitoring systems, smart grids, and smart agriculture. In these fields, one of particular interest is represented by Smart Buildings, which are intelligent environments able to manage energy optimally and provide the highest possible comfort. This paper presents an innovative approach to managing complex IoT-based environments in Smart Buildings. The proposed approach exploits data coming from the context and the situation in which the user is located by extracting knowledge to support the user and performing autonomous choices on Smart Buildings' management. In particular, the approach aims to exploit data from sensors in combination with contextual data acquired through graph structures to perform actions that increase the ability to manage business buildings. An application case study conducted in a real environment will be presented. The system prototype has obtained promising results.

A Multilevel Approach for Smart Buildings Management

Lorusso A.;Marongiu F.;Santaniello D.;Troiano A.;Valentino C.
2022-01-01

Abstract

The Internet of Things paradigm has introduced the use of countless smart devices into our daily lives. These devices are able to assist us in our daily tasks, making the environments we experience increasingly pervasive. The most significant examples are smart cities, home monitoring systems, smart grids, and smart agriculture. In these fields, one of particular interest is represented by Smart Buildings, which are intelligent environments able to manage energy optimally and provide the highest possible comfort. This paper presents an innovative approach to managing complex IoT-based environments in Smart Buildings. The proposed approach exploits data coming from the context and the situation in which the user is located by extracting knowledge to support the user and performing autonomous choices on Smart Buildings' management. In particular, the approach aims to exploit data from sensors in combination with contextual data acquired through graph structures to perform actions that increase the ability to manage business buildings. An application case study conducted in a real environment will be presented. The system prototype has obtained promising results.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4869657
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