9791221502893_122.pdf

The management of the built environment is a topic that requires reference to the management of complex systems. In fact, the variety of domains involved means that the management of urban centers is not only complicated, and therefore it is not enough to model a set of rules that are representative...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_122
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spelling oapen-20.500.12657-891212024-04-03T02:23:48Z Chapter Urban Centres Management: A Digital Twin Approach Corneli, Alessandra Rotilio, Marianna Digital twin urban environment management urban centers smart cities emergency management BIM thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization The management of the built environment is a topic that requires reference to the management of complex systems. In fact, the variety of domains involved means that the management of urban centers is not only complicated, and therefore it is not enough to model a set of rules that are representative of phenomena related to the real environment. Not only that, but what is evident is that emergency management lacks the ability to access real-time information that could be decisive. Having tools that provide real-time data, that reprocess it, and that are able to provide an enriched and slightly predictive view of what is happening offers the possibility of having a real impact in the management of the built environment. In this sense, digital twins are a valuable approach to achieving the desired results. Digital twins through the integration of technologies such as lnternet of Things (IoT), simulators, Artificial Intelligence (AI), and Augmented Reality (AR) technologies make it possible to develop systems capable of exploiting the concept of collective intelligence, in a digital version, through a large number of heterogeneous agents working according to stigmergic mechanisms. This research work aims to propose its own architecture of digital twins for the management of resilient urban centers, with particular reference to the management of post-earthquake reconstruction scenarios 2024-04-02T15:47:10Z 2024-04-02T15:47:10Z 2023 chapter ONIX_20240402_9791221502893_90 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89121 eng Proceedings e report application/pdf n/a 9791221502893_122.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_122 Firenze University Press 10.36253/979-12-215-0289-3.122 10.36253/979-12-215-0289-3.122 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 10 Florence open access
institution OAPEN
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language English
description The management of the built environment is a topic that requires reference to the management of complex systems. In fact, the variety of domains involved means that the management of urban centers is not only complicated, and therefore it is not enough to model a set of rules that are representative of phenomena related to the real environment. Not only that, but what is evident is that emergency management lacks the ability to access real-time information that could be decisive. Having tools that provide real-time data, that reprocess it, and that are able to provide an enriched and slightly predictive view of what is happening offers the possibility of having a real impact in the management of the built environment. In this sense, digital twins are a valuable approach to achieving the desired results. Digital twins through the integration of technologies such as lnternet of Things (IoT), simulators, Artificial Intelligence (AI), and Augmented Reality (AR) technologies make it possible to develop systems capable of exploiting the concept of collective intelligence, in a digital version, through a large number of heterogeneous agents working according to stigmergic mechanisms. This research work aims to propose its own architecture of digital twins for the management of resilient urban centers, with particular reference to the management of post-earthquake reconstruction scenarios
title 9791221502893_122.pdf
spellingShingle 9791221502893_122.pdf
title_short 9791221502893_122.pdf
title_full 9791221502893_122.pdf
title_fullStr 9791221502893_122.pdf
title_full_unstemmed 9791221502893_122.pdf
title_sort 9791221502893_122.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_122
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