Updating Methods of Digital Twin Models for Historical Buildings Based on Shape Distribution-mean Absolute Error Method

Ai-lin ZHANG , Kai WANG , Chao DING , Ze-wen YAN , Xiu-ying LANG

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (12) : 5058 -5065.

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Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (12) : 5058-5065 DOI: 10.12404/j.issn.1671-1815.2404259
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Updating Methods of Digital Twin Models for Historical Buildings Based on Shape Distribution-mean Absolute Error Method
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Abstract

Aiming at the issue of how to realize the dynamic updating of the digital twin model of historic buildings, a "build-compare-update" updating idea was proposed. Firstly, the shape distribution method was used to draw the shape distribution curve of the digital twin model of the historical building at different time points, based on completing the construction of the digital twin model of the historical building. Secondly, the mean absolute error method was used to assess the similarity of the two models. Furthermore, according to the results of the similarity assessment, the updating strategy for the model of the components of the historic building was set up and the updating of the digital twin model was completed with the help of relevant software. Finally, to validate the design, the arch column component of the Jade Buddha Hall of Hongci Temple was used as a case study. The results show that the proposed idea of updating the historical building model and its implementation method not only lay the foundation for realizing the dynamic updating of the digital twin model of historical buildings, but also provide reference value for the intelligent protection of historical buildings.

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digital twin model / shape distribution / mean absolute error(MAE) / model similarity / model update

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Ai-lin ZHANG, Kai WANG, Chao DING, Ze-wen YAN, Xiu-ying LANG. Updating Methods of Digital Twin Models for Historical Buildings Based on Shape Distribution-mean Absolute Error Method. Science Technology and Engineering, 2025, 25(12): 5058-5065 DOI:10.12404/j.issn.1671-1815.2404259

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