Research on Material Quality Risk Management Based on Machine Learning for Prefabricated Civil Buildings

Abstract

Forming the quality of prefabricated components of prefabricated buildings runs through multiple links of design, production, transportation, and assembly, and multiple links are linked to form a quality chain. This paper sorts out the production and technological processes of prefabricated components of prefabricated buildings. According to the construction process requirements of prefabricated buildings, the construction quality evaluation of prefabricated buildings is divided into dimensions, and an evaluation index system is initially established. In this paper, the rough set theory is used to reduce the indicators, and the weights are established through the analysis of the importance of the indicators. Finally, the countermeasures and suggestions for promoting the development of prefabricated buildings are given. The research results have specific theoretical and practical significance for improving the quality and safety of prefabricated components and promoting the industrialization of construction.