Advances in Constructional Engineering

The rapid development of prefabricated buildings has put forward higher requirements for the installation quality of prefabricated components. Traditional supervision methods have obvious shortcomings in terms of efficiency and accuracy. The supervision system based on information and intelligent technologies provides a new idea for improving the standardization and controllability of the installation process. Taking prefabricated buildings as the research object, this paper proposes a development path for an intelligent supervision system for the installation quality of prefabricated components, and focuses on analyzing the functional design of the system in terms of monitoring indicators, real-time data collection, intelligent early warning and information sharing. By building a comprehensive platform integrating sensor monitoring, big data analysis and intelligent algorithms, it is possible to realize quality supervision throughout the entire process from component hoisting, assembly to forming, and significantly improve the accuracy and scientificity of supervision work. This study aims to promote the intelligent transformation of the installation quality management of prefabricated components and provide technical support and practical basis for the high-quality development of prefabricated buildings.

Prefabricated buildings; Prefabricated components; Installation quality; Intelligent supervision