Zhansheng Liu, Z. Zhu, Zhe Sun, Anxiu Li, Shuxin Ni
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引用次数: 0
Abstract
Background: Site pollution in construction can be reduced by using high levels of prefabrication and industrialization. However, the lack of green concepts and methods during the prefabrication assembly process hinders its environmental benefits. Digital twin technology can monitor sites in real-time and provide data visualization for decision support, which has been used in construction management and risk control. Methods: We propose a six-dimensional digital twin framework that includes physical and virtual spaces, project management and service layers, twin data, and component connections. The framework integrates green factors of prefabricated construction into a model evolution framework and mechanism that enables real-time green services throughout the process. Results: The proposed framework, modeling method, and evolution method were tested in prefabrication projects in Tianjin. By applying these methods, inadequate management measures were promptly identified and strengthened. Energy consumption and pollution were reduced by comparing with the plan before construction. In addition, the model evolution method optimized green management measures and improved the level of green construction management on site. Conclusions: The application results demonstrate the effectiveness of our proposed framework, the model building method, and the evolution method in improving the green level of prefabricated construction.
期刊介绍:
Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review.
The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches.
The scope of Digital Twin includes, but is not limited to, the following areas:
● Digital twin concepts, architecture, and frameworks
● Digital twin theory and method
● Digital twin key technologies and tools
● Digital twin applications and case studies
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Digital twin also focuses on applications within and across broad sectors including:
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Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.