Research on Safety Quality Monitoring Algorithm of Assembled Building Construction Based on Neural Network Technology

With the continuous development of the city, prefabricated building has gradually become an important form of modern architecture, but at the same time, the construction safety of prefabricated building has increasingly attracted people's attention. Therefore, this paper aims to solve the problem of safety and quality monitoring during the construction of prefabricated building, and proposes a monitoring algorithm based on neural network technology. Through the collection and analysis of multiple safety and quality data in the construction process, a neural network model was established, and the superiority of the model in accuracy, recall, F1 value, AUC value and other indicators was verified. In terms of accuracy, the neural network technology was 0.82, which was significantly improved compared with 0.74 of the benchmark models. The research results provide a new safety and quality monitoring solution for the construction of prefabricated building, and have important practical significance.