With the continuous development of cultural heritage protection technology

the study of weathering of cultural relics has become an important topic. In particular

glass products are easily affected by weathering due to the high reactivity of their components

resulting in changes in chemical composition. This paper proposes a prediction model for the chemical composition of glass products before weathering based on weathering rate. By statistically analyzing the chemical composition data of different types of glass cultural relics and combining the relationship between the chemical composition after weathering and the weathering rate

a prediction method for the chemical composition before weathering was established. This model can effectively handle missing and outliers in cultural relic data

and provide a scientific basis for cultural relic restoration by inferring the chemical composition before weathering. The results show that this method not only improves the prediction accuracy

but also provides a reliable tool for future cultural relic protection research. By combining data science and chemical analysis technology

the prediction and restoration of cultural relic weathering can be supported more accurately and systematically.