Tang Zhao, Zhuang Dayuan, Zhang Jianjun
State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, 610031, China.
National Centre for Computer Animation, Bournemouth University, Poole, BH125BB, UK.
Sci Rep. 2025 Mar 27;15(1):10544. doi: 10.1038/s41598-024-82154-8.
As digital twin (DT) applications continue to proliferate across diverse industries, a noticeable gap exists in the availability of evaluation methods or frameworks to aid in the selection and development of DT platforms, particularly for Domain-Specific applications. To address this gap, this paper proposes a comprehensive evaluation framework for DT platforms, with a focus on Domain-Specific applications. The framework uses the Best-Worst Method and Fuzzy Comprehensive Evaluation method (BWM-FCE) to assess the performance, user experience, and economic effects of DT platforms. The proposed framework is applied to a case study of a high-speed train DT platform and compared with other evaluation methods AHP(Analytic Hierarchy Process) and BWM-SPA (Best-Worst Method-Set Pair Analysis). The results demonstrate the feasibility and effectiveness of the proposed framework and highlight its potential for guiding the development and selection of DT platforms for Domain-Specific applications.
随着数字孪生（DT）应用在各个行业不断普及，在用于辅助数字孪生平台选择和开发的评估方法或框架的可用性方面存在明显差距，尤其是针对特定领域的应用。为了弥补这一差距，本文提出了一个针对数字孪生平台的综合评估框架，重点关注特定领域的应用。该框架使用最佳-最差方法和模糊综合评价法（BWM-FCE）来评估数字孪生平台的性能、用户体验和经济效果。将所提出的框架应用于高速列车数字孪生平台的案例研究，并与其他评估方法层次分析法（AHP）和最佳-最差方法-集对分析（BWM-SPA）进行比较。结果证明了所提出框架的可行性和有效性，并突出了其在指导特定领域应用的数字孪生平台开发和选择方面的潜力。
