Advances in Constructional Engineering

In prefabricated construction, the quality of grouting sleeve connections directly affects structural safety and durability. The detection technology for this process has always been a key focus in industry research. Traditional detection methods, limited by manual operations and offline analysis, suffer from issues such as insufficient accuracy, low efficiency, and high costs, making them inadequate for large-scale construction needs. This paper focuses on the application of intelligent detection technology in this field, systematically presenting an integrated solution based on sensor networks, big data analytics, and IoT technologies. The system includes real-time collection of critical parameters such as grouting pressure, temperature, and flow rate, with machine learning algorithms enabling precise defect identification and localization. The paper analyzes the hardware architecture, data transmission protocols, and software platform components of the intelligent detection system, while validating its effectiveness through engineering case studies.

Prefabricated building; Grouting sleeve; Intelligent detection; Construction quality; Sensor technology