Today an increasing number of cities are equipping themselves with three-dimensional urban modelling and simulation platforms for energy management to integrate both spatial and semantic data for enabling better decision-making. The work presented in this chapter is the result of the study carried out by Politecnico di Torino within the Energy Efficient Buildings (EEB) project. Collected data on urban and building scale are managed in specialized, independent, and heterogeneous domains such as GIS, BIM, and IoT devices for energy and electrical monitoring. Possible relationships among these datasets in the perspective of system integration have been carried out according to a rich matrix of experimentations. Specific tools, including innovative visualization technologies and web services, are put in place to allow final users to benefit from this data. The infrastructure is intended to establish a common interoperable ground among heterogeneous networks to achieve the goal of smart cities digital twins.
EEB Project System Integration and Technology Sperimentation Matrix / Ugliotti, Francesca Maria (ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING BOOK SERIES). - In: Handbook of Research on Developing Smart Cities Based on Digital Twins / Del Giudice M., Osello A.. - ELETTRONICO. - Hershey PA, USA : IGI Global, 2021. - ISBN 9781799870913. - pp. 196-218 [10.4018/978-1-7998-7091-3.ch010]
EEB Project System Integration and Technology Sperimentation Matrix
Ugliotti, Francesca Maria
2021
Abstract
Today an increasing number of cities are equipping themselves with three-dimensional urban modelling and simulation platforms for energy management to integrate both spatial and semantic data for enabling better decision-making. The work presented in this chapter is the result of the study carried out by Politecnico di Torino within the Energy Efficient Buildings (EEB) project. Collected data on urban and building scale are managed in specialized, independent, and heterogeneous domains such as GIS, BIM, and IoT devices for energy and electrical monitoring. Possible relationships among these datasets in the perspective of system integration have been carried out according to a rich matrix of experimentations. Specific tools, including innovative visualization technologies and web services, are put in place to allow final users to benefit from this data. The infrastructure is intended to establish a common interoperable ground among heterogeneous networks to achieve the goal of smart cities digital twins.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2884979