The attention of the architecture, engineering, construction and operation (AECO) industry has been shifting from a great interest in the design and construction phases to the facility management (FM) and operational phase over the last decade. Disruptive technologies, such as information and communication technology (ICT), Internet of things (IoT) and building information modelling (BIM) have shown promising application to achieve a connected and effective management of buildings. Due to issues, such as COVID-19 and energy waste, governments have started promoting smart working to both private and public organisations. The expected benefits are twofold, namely social distancing in offices and better management of costs and spaces. This paper aims to define a digital twin-based system for smart management of office spaces. The system will help organisations to better manage their real estate and provide a basis for the development of a management platform.

A Digital Twin-Based System for Smart Management of Office Spaces

Garofolo, Ilaria
Supervision
2022-01-01

Abstract

The attention of the architecture, engineering, construction and operation (AECO) industry has been shifting from a great interest in the design and construction phases to the facility management (FM) and operational phase over the last decade. Disruptive technologies, such as information and communication technology (ICT), Internet of things (IoT) and building information modelling (BIM) have shown promising application to achieve a connected and effective management of buildings. Due to issues, such as COVID-19 and energy waste, governments have started promoting smart working to both private and public organisations. The expected benefits are twofold, namely social distancing in offices and better management of costs and spaces. This paper aims to define a digital twin-based system for smart management of office spaces. The system will help organisations to better manage their real estate and provide a basis for the development of a management platform.
978-3-031-11231-7
978-3-031-11232-4
https://link.springer.com/chapter/10.1007/978-3-031-11232-4_9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3036320
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