Fine-grained digital twin sharing framework for smart construction through an incentive mechanism

被引:0
|
作者
Xiao, Jianhua [1 ,2 ]
Ma, Siyuan [1 ]
Wang, Shuyi [3 ]
Huang, George Q. [4 ]
机构
[1] Nankai Univ, Res Ctr Logist, Tianjin 300071, Peoples R China
[2] Nankai Univ, Lab Econ Behav & Policy Simulat, Tianjin 300071, Peoples R China
[3] Univ Sci & Technol Beijing, Sch Econ & Management, Dept Management Sci & Engn, Beijing 100083, Peoples R China
[4] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Prefabricated construction; Digital twins; Fine-grained sharing framework; Incentive mechanism; Evolutionary and cooperative games; INTERNET;
D O I
10.1016/j.ijpe.2024.109382
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Prefabricated construction is increasingly applied in the construction industry. Recent academic and industrial efforts highlight that Digital Twin as a Service (DTaaS) is an innovative solution to strengthen the advantages of prefabricated construction by enabling continuous monitoring, precise control, and optimized maintenance of each unique module. However, the complexity of digital twins presents significant challenges for both platforms and subcontractors to apply and fully understand this technology. It is, therefore, crucial to develop a welldesigned sharing environment where stakeholders volunteer to share their digital twin resources for synergistic benefits. This research proposes an innovative blockchain-based fine-grained digital twin sharing framework, with detailed architecture focused on two key stages of prefabricated construction: on-site construction and logistics involving warehousing and transport. An incentive mechanism is introduced to encourage all the stakeholders engaged in digital twin sharing framework to contribute and share more digital twin resources. Evolutionary and cooperative games explore the effective settings of the incentive policies, aiming to ensure the feasibility and sustainability of the proposed system by motivating users to share digital twins with fine granularity. Mathematical and numerical results demonstrate the optimal subsidy policies with/without budgetary constraints and further highlight the effectiveness of well-crafted incentives. Findings reveal that better performance in terms of profitability and digital twin sharing is achieved under the proposed incentives. Subsidies are primarily allocated to offset costs with a certain budget, whereas the emphasis shifts towards quality improvement under an ample budget. This study lays a solid foundation for digital twin reuse and development.
引用
收藏
页数:18
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