This study focuses on the safety management needs of power engineering construction sites and designs a safety early warning mechanism based on artificial intelligence. By analyzing the characteristics of potential safety hazards at the construction site

combined with the technical advantages of artificial intelligence

it explains the principles and methods of real-time monitoring and intelligent identification of personnel violations

abnormal equipment conditions

and environmental risk factors through the use of computer vision

deep learning

Internet of Things and other technologies. The aim of building a complete system of multi-dimensional data collection

intelligent analysis and graded early warning is to improve the intelligent level of safety management at the construction site of power projects

reduce the incidence of safety accidents

and provide technical support and theoretical reference for ensuring construction safety.