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      Digital Twin-Based Ecogreen Building Design

      1 , 2 , 1 , 2
      Complexity
      Hindawi Limited

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          Abstract

          The high operation cost of green building, insufficient informationization and automation management capability, and the lack of effective operation cost control seriously restrict the development of the industry and the realization of green goals. In order to solve the problem of insufficient capability of green building operation cost management, based on the digital twin technology in the manufacturing field, we analyze the characteristic requirements and theoretical basis of green building operation cost management for system, propose a green building operation cost management system based on digital twin, and refine the design of each structural layer of this system. It is necessary to set up a series of lines, although it takes a certain amount of time. There are four types of applications, namely, the number of types of applications, the completion of the effective number, the comparison of functions, and the implementation capabilities. The study shows that the proposed system framework can improve the efficiency and quality of green building operation cost management through technology upgrade and process optimization. The implementation of digital twin and human-machine collaboration is an advanced stage in the development of digital architecture because virtual things and real things, materials, and numbers are mutually promoting processes. The inspiration of this technological view for architecture is that digital twin and human-machine collaboration not only allow the interaction between virtual and reality and emphasize the feedback of actual construction to virtual simulation but also promote a kind of mutual promotion of human and machine thinking and construction ability.

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          Most cited references29

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          Digital twin-driven product design, manufacturing and service with big data

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            Digital Twin in Industry: State-of-the-Art

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              Digital Twin in manufacturing: A categorical literature review and classification

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                Author and article information

                Contributors
                Journal
                Complexity
                Complexity
                Hindawi Limited
                1099-0526
                1076-2787
                June 4 2021
                June 4 2021
                : 2021
                : 1-10
                Affiliations
                [1 ]School of Maritime Economics and Management, Dalian Maritime University, Dalian, Liaoning 116026, China
                [2 ]UniSA STEM, University of South Australia, Adelaide, SA 5001, Australia
                Article
                10.1155/2021/1391184
                32f099e2-38af-444f-84bf-c8119e2f01d0
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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