G. Brundu, Francesco and Patti, Edoardo and Del Giudice, Matteo and Osello, Anna and Ramassotto, Michela and Massara, Fabrizio and Marchi, Francesca and Musetti, Alberto and Macii, Enrico and Acquaviva, Andrea (2017) A scalable middleware-based infrastructure for energy management and visualization in city districts. EAI Endorsed Transactions on Cloud Systems, 3 (9): e1. ISSN 2410-6895
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Abstract
Following the Smart City views, citizens, policy makers and energy distribution companies need a reliable and scalable infrastructure to manage and analyse energy consumption data in a city district context. In order to move forward this view, a city district model is needed, which takes into account different data-sources such as Building Information Models, Geographic Information Systems and real-time information coming from heterogeneous devices in the district. The Internet of Things paradigm is creating new business opportunities for low-cost, low-power and high-performance devices. Nevertheless, because of the "smart devices" heterogeneity, in order to provide uniform access to their functionalities, an abstract point of view is needed. Therefore, we propose an distributed software infrastructure, exploiting service-oriented middleware and ontology solutions to cope with the management, simulation and visualization of district energy data.
Item Type: | Article |
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Uncontrolled Keywords: | Smart City, Pervasive Computing, Smart Devices, Internet of Things, Middleware, District |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science |
Depositing User: | EAI Editor II. |
Date Deposited: | 10 Sep 2020 14:04 |
Last Modified: | 10 Sep 2020 14:04 |
URI: | https://eprints.eudl.eu/id/eprint/199 |
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