In the new journey of building a socialist modernized country, how to empower rural revitalization in ethnic areas with non-heritage cultural assets is an important topic that requires in-depth thinking. In this paper, the development level of rural revitalization and the degree of digital transformation of non-heritage cultural assets are taken as explanatory variables and explanatory variables, and the gray correlation between them is calculated using the gray correlation analysis method. Then, based on the differential evolution operator and the improved quantum particle swarm algorithm with weighted coefficients as a framework, the impact prediction model of digital transformation of non-heritage cultural assets on rural revitalization is constructed. The study shows that the grey correlation between X2 “reliability”, X4 “quality” and X7 “diversity” and the development level of the rural revitalization of the three variables of digital transformation of non-heritage cultural assets exceeds 0.8 percent. The grey correlation between X2 “reliability”, X4 “quality” and X7 “diversity” and the development level of rural revitalization among the three variables is more than 0.850, and the grey correlation of the other variables is above 0.70, which indicates that the digital transformation of NRM cultural assets is a possible way out of rural revitalization. In addition, the MAE value of the impact prediction model constructed in this paper is 1.63%, which is much lower than other comparative models, indicating that it can accurately predict the impact of digital transformation of non-heritage cultural assets on rural revitalization. This paper studies the impact mechanism of digital transformation of non-heritage cultural assets to drive the development of regional high-rural revitalization. It is of great significance for other ethnic regions and even backward regions.
