A digital twin approach for geometric quality assessment of as-built prefabricated facades

We develop a new framework for geometric quality assessment of as-built prefabricated facades during construction process using a 3D as-designed model and a 3D as-built semantic model. The framework is based on a digital twin approach which facilitates an automatic quantitative comparison between the 3D as-built digital replica, reconstructed from the 3D as-built lidar point cloud, and the 3D as-designed model. The framework consists of automated correspondence identification and element-based comparison on three new criteria, which ensure comprehensive measurement of the geometric quality of as-built facades regarding accuracy, completeness, and correctness. Experiments on a synthetic facade system and a prefabricated facade of an actual construction project demonstrate the ability of the framework to detect inconsistencies and perform a quantitative evaluation and localization of geometric errors in as-built prefabricated facades in an efficient and timely manner. Ultimately, the proposed framework enables efficient visual quality assessment during construction process for prefabricated construction.

Automated summary

The framework developed enables geometric quality assessment of prefabricated facades during construction process through digital twin approach, automated comparison, and new criteria measurement. Experiments demonstrate its ability to detect inconsistencies and evaluate and localize geometric errors efficiently.