Abstract: To date, survey projects on the protection and renovation of traditional historic buildings have only collected data on building diseases. The available studies also fail to carry out an effective building pathological analysis and fail to effectively utilize computer simulation technology to carry out environmental microclimate simulation recognition in the non-investigation period. By combining evidence-based analysis with building pathology, new evidence-based diagnosis technology for building pathology based on image chromotography is proposed. This study is based on the conservation project of ancient murals in the Town God's Temple. The features of building defects and environments were analyzed by image tomography. Further, combined with computer technology, the microclimate environment of different seasons was simulated. The layer overlapping technique was utilized to study the causal pathological mechanism of architectural diseases. The results showed that strong wind, rainfall, snow, freezing and thawing, and large differences in temperature are the important factors causing disease of murals in the east-west side hall. The application of this method to make inference on building disease mechanisms is more scientific and rigorous than traditional methods, and the analysis results can be extracted as an important reference for making engineering repair plans.

Key words: evidence-based analysis in building pathology, causality of building pathology, image tomography, Town's God Temple in sTong-vkhor

摘要： 传统文物建筑保护修缮勘察工程仅采集建筑病害结果，未能针对勘察结果进行有效的建筑病理分析，也未能有效地结合计算机模拟技术进行非调查时段的环境微气候模拟认识。将循证原理结合建筑病理学，提出了基于图像层析法的建筑病害循证诊断新技术，并以丹噶尔城隍庙为例，运用图像层析技术解析建筑病害特征与环境特征，再结合计算机技术模拟不同季节的微气候环境，运用图层叠合技术研判建筑病理学中建筑病害因果构成机理。研究结果表明强风、降雨、降雪冻融、日照温差大是造成东西配殿壁画建筑病害的重要因素。该方法的运用使得建筑病害机理推论更具科学性和严谨性，分析结果可提炼成为修缮工程计划制定的重要参考。

关键词: 建筑病害循证诊断, 建筑病理因果构成论, 图像层析法, 丹噶尔城隍庙