Aiming at the problems of low manual efficiency

delayed hidden danger identification and fragmented data in quality management of traditional construction engineering supervision

combined with the real-time and intelligent characteristics of intelligent technologies (Internet of Things

AI

BIM

digital twin)

this paper analyzes the limitations of traditional supervision and the adaptation advantages of technologies

and details the application points of intelligent monitoring

AI judgment

BIM technology collaboration and digital twin in supervision quality management. It aims to improve the accuracy and efficiency of supervision quality control

ensure the quality of construction projects

and provide support for the intelligent transformation of the supervision industry.