Abstract:With the acceleration of urbanization, safety risk control in high-rise building construction has become the core content of engineering management. The article combines technologies such as the Internet of Things, computer vision, and deep learning to construct a security risk identification system based on multi-source data fusion. After practical deployment and verification in multiple projects, the system can achieve real-time monitoring and early warning of key risk sources such as high-altitude operations, edge protection, mechanical equipment, and personnel behavior. The accuracy of risk identification reaches 89% to 96%, and the warning response time does not exceed 3 seconds.