Analysis of chemical composition of ancient glass based on correlation analysis model

Abstract

In the contemporary world, it is a common requirement of all countries in the international community to protect the cultural heritage created by mankind together. In recent years, as more and more cultural relics are unearthed, the study of cultural relics has been emphasized. Ancient glass and its susceptibility to weathering leads to changes in the content of internal elements making the proportion of its composition change, thus affecting the correct judgment of its category. In order to identify the category, ornamentation, and color of artifacts excavated after severe weathering, and thus understand the subtle craftsmanship of ancient times to maintain the unique national cultural identity of our country, the chemical composition content prediction model. Firstly, the different attributes were quantified using the ease of being weathered, after which the corresponding quantified values were formed into a new data table, and then using normality analysis, it was concluded that the individual data did not conform to a normal distribution, so Spearman correlation analysis was chosen, and the correlation coefficients of type, ornamentation, and color for weathering were 0.344, 0.248, and -0.054. This indicates that the most significant factor affecting weathering The most significant factor affecting weathering was type, followed by ornamentation, and color had a poor effect on weathering and there was no correlation between the two. Then, a stepwise regression equation was established using the content of each chemical component before weathering and the content of each chemical component after weathering, and the data from the weathered sites were substituted into the model to obtain the content of chemical components before weathering. The results indicate the pre-cultural chemical content of each artifact, helping to identify artifacts with severe weathering and thus better preserve and pass on the spirit of Chinese artisans for thousands of years.