Author(s)

Jun Chen

Corresponding Author

Jun Chen

Abstract

The quality and safety of construction projects are not only related to the economic benefits of the projects but also affect the life and property safety of the people and the public interest of society. The accelerated advancement of new urbanization has led to construction projects characterized by larger scales, more complex technologies, and diversified formats. The traditional supervision and management model, which is dominated by administrative regulation and focuses on post-event punishment, can no longer meet the quality and safety requirements of engineering construction in the new era. Based on the current practical difficulties in quality and safety supervision and management of construction projects, this paper explores forward-looking and actionable enhancement strategies from the perspectives of conceptual innovation and technological empowerment, providing insights for constructing a modernized engineering quality and safety governance system.

Keywords

Construction Engineering, Quality and Safety Supervision, Risk Prediction, Artificial Intelligence