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.

Highlights

  • Academic Editor: Zhihan Lv e 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

  • The application of the digital twin for green building operation cost management has not been considered yet. erefore, this paper proposes a green building operation cost management system based on digital twin to address the lack of green building operation cost management capability in China and develops a system prototype based on this system framework to verify the feasibility of the system framework

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Summary

Introduction

Academic Editor: Zhihan Lv e 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. E 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. In the operation stage, many green buildings lack efficient operation management and real-time status data, which often fail to achieve the expected goals and lead to a large amount of wasted financial and human resources [3]. E current research on green building operation cost management mainly focuses on Complexity incremental cost analysis [5,6,7], operation efficiency evaluation index construction [8,9,10], energy consumption management [11,12,13], and BIM-based whole life cycle management [14,15,16] in four aspects. For the BIM management, there is a lack of realtime monitoring and management research on the operation status of equipment and facilities, and the various types of digital twin are mainly done manually, which cannot be fully computerized and automated

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