Enhancing Space Management through Digital Twin: A Case Study of the Lazio Region Headquarters

被引:5
|
作者
Piras, Giuseppe [1 ]
Muzi, Francesco [1 ]
Tiburcio, Virginia Adele [2 ]
机构
[1] Sapienza Univ Rome, Dept Astronaut Elect & Energy Engn DIAEE, I-00184 Rome, Italy
[2] Sapienza Univ Rome, Dept Civil Bldg & Environm Engn DICEA, I-00184 Rome, Italy
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 17期
关键词
digital twin; Internet of Things; BIM; artificial intelligence; machine learning; space management; DECISION TREE; HOT-DESKING; TECHNOLOGY; COVID-19;
D O I
10.3390/app14177463
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Digital Twin is becoming an increasingly powerful resource in the field of building production, replacing traditional processes in the Architecture, Engineering, Construction and Operations sector. This study is concerned with the development of a DT, enabled by Building Information Modeling, artificial intelligence, machine learning, and the Internet of Things to implement space management strategies. It proposes an application case for the Lazio Region headquarters, which has partly adopted smart working typology post-COVID-19. The aim is to create an accurate digital replica of the building based on BIM, integrated with real-time data. This will help to improve the use of space, the management of resources, and the quality of services provided to the community. It also improves energy efficiency, reducing consumption by 530.40 MWh per year and reducing greenhouse gas emissions by 641.32 tons of CO2 per year. The research proposes a holistic framework for the implementation of innovative solutions in the context of public infrastructure space management through the use of digital technology, facilitating the promotion of efficiency and sustainability in decision-making and operational processes through the application of a digital methodology.
引用
收藏
页数:28
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