Application of AI-empowered BIM technology in the restoration of Suzhou Xishan power plant
AI赋能的BIM技术在苏州西山发电厂修复中的应用研究

摘要

本文以苏州西山发电厂修复为研究对象，结合工业遗产保护的实际需求，分析传统修复方法在结构安全、细节复原与构件重建方面的不足。为此，本文构建了AI与BIM协同的解决路径：利用AI开展结构力学模拟，确保修复设计的安全性；通过智能识别与建模技术实现砖瓦花纹复原；在数字化模型中借助AI完成缺失构件的补全。根据研究，该路径不仅提升修复精度与效率，还有效延续了建筑的历史风貌，为同类工业遗产的保护与活化提供了可借鉴的实践模式。

Abstract

This study takes the restoration of Suzhou Xishan Power Plant as its research subject, integrating practical needs of industrial heritage protection. It analyzes the shortcomings of traditional restoration methods concerning structural safety, detail restoration, and component reconstruction. To address this, the paper constructs a solution pathway that synergizes AI and BIM: AI is utilized for structural mechanics simulation to ensure the safety of restoration design; intelligent recognition and modeling techniques are employed for the restoration of brick and tile patterns; and AI assists in the completion of missing components within the digital model. The findings indicate that this pathway not only enhances restoration accuracy and efficiency but also effectively preserves the historical character of the building, offering a replicable practical model for the protection and revitalization of similar industrial heritage.