Research on Performance Evaluation of Green Building Materials Based on Deep Learning Model

Abstract

The research purpose of this article is to improve the greenness of building materials. In this paper, a comprehensive evaluation and optimization model of green building materials energy saving is constructed by comprehensively using BIM full life cycle technology and Bayesian deep learning model network structure. The model achieves the effect of accurately evaluating the green performance of buildings. We use the BIM model to extract relevant data for quantitative indicator analysis. At the same time, we use the Bayesian network to conduct a comprehensive and comprehensive evaluation of the environmental performance of green building materials. The results show that the evaluation method has certain practicability and scientific, which lays a working foundation for the evaluation of BIM application value in green building materials and the research on application value promotion strategy.