Abstract

During the time of digital transformation, construction robotics that cooperate with BIM have developed rapidly. However the management of construction lifecycle is still limited by discontinuous data flows. Robots act simultaneously as on-site sensors and actuators, generating and consuming data that are stored locally in standard formats and periodically pushed to management platforms via predefined protocols. However, cross-stage consistency and interoperability remain largely unaddressed; yet no maturity metric exists to evaluate how well robotic data interoperates with evolving data model resources. Compounding the problem are heterogeneous standards, disparate data sources, uneven quality, and weak cross-phase correlation. This study therefore reviews international information modelling standards and summarizes BIM Maturity Measure methods including leveling, model composition, application, and capability evaluation, to propose a maturity framework that specifically measures data interoperability for construction robotics. The framework guides practitioners in enhancing BIM-based data interoperability across the full project lifecycle.

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This research is supported by the National Key R&D Program of China (No. 2024YFC3809703) and National Natural Science Foundation of China (No. 52378306).

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