Digital twin maturity evaluation indicators.

Digital twin technology has the potential to enhance construction efficiency, reduce costs, and minimize errors. However, its application during the construction phase remains at an early stage, largely constrained by the absence of standardized guidelines and principles. To address this challenge, it is essential to establish a comprehensive and universal maturity assessment framework to facilitate the effective implementation of this technology in the construction phase of building projects. This study focuses on two critical aspects: the development of the maturity assessment framework and its empirical validation. The proposed framework encompasses a maturity assessment indicator system covering five dimensions: acquisition layer, data layer, modeling layer, analysis layer, and application layer. For the first time, an optimized matter-element model based on dynamic thresholds and nonlinear correlation is introduced to improve the accuracy of maturity assessments. Furthermore, a feedback mechanism based on Importance-Performance Analysis (IPA) is utilized to clarify the formulation of optimization strategies. Finally, the framework is applied to the CAZ Innovation Industrial Park construction phase in Xinyang, Henan Province. The assessment results demonstrate that the system precisely measures the project’s maturity level and provides effective improvement recommendations. This study not only offers technological support for assessing and optimizing the digital twin maturity during the construction phase of building projects but also provides methodological insights into global digital twin maturity assessments.

数字孪生技术（Digital Twin）具备提升施工效率、降低成本并减少失误的潜力。然而，其在建筑项目施工阶段的应用仍处于早期阶段，主要受限于缺乏标准化的指南与原则。为应对这一挑战，构建一套全面且通用的成熟度评估框架以推动该技术在建筑项目施工阶段的有效落地，显得尤为必要。本研究聚焦两大核心方向：成熟度评估框架的构建及其实证验证。所提出的框架包含一套成熟度评估指标体系，涵盖五大维度：采集层（acquisition layer）、数据层（data layer）、建模层（modeling layer）、分析层（analysis layer）与应用层（application layer）。本研究首次引入基于动态阈值与非线性关联的优化物元模型，以提升成熟度评估的准确性。此外，本研究采用基于重要性-绩效分析（Importance-Performance Analysis，IPA）的反馈机制，以明确优化策略的制定方向。最后，本研究将该框架应用于河南省信阳市CAZ创新工业园（CAZ Innovation Industrial Park）的施工阶段。评估结果表明，该指标体系能够精准测算项目的成熟度等级，并给出切实可行的优化改进建议。本研究不仅为建筑项目施工阶段的数字孪生（Digital Twin）成熟度评估与优化提供了技术支撑，同时也为全球范围内的数字孪生成熟度评估研究提供了方法论层面的参考思路。