In response to the new characteristics of safety risk management in the context of intelligent mining,this study designs a framework for an intelligent comprehensive control system for safety risk in underground gold mines,based on a comprehensive analysis of the functional requirements of the system.The intelligent elements of safety risk management within the system are analyzed,and the data interaction methods of the system are planned.By leveraging machine vision,Internet of Things (IoT),and intelligent identification technologies,the acquisition and standardized processing of key data such as personnel and equipment are realized within the system.This ultimately leads to the construction of a safety risk control system for underground gold mines and the integration of human-machine-environment management functionalities.The implementation and application of the system significantly enhance the standardization,informatization,and intelligence level of safety risk management in the mining industry,demonstrating considerable value for promotion and application in the field.