Abstract:In order to cope with the increasingly severe problem of slope safety monitoring and comprehensive warning in open-pit mines, improve the accuracy of status monitoring and risk warning, and ensure long-term stable and safe production of mines, this article is based on the current situation of mining production and various individual monitoring systems. Using big data analysis, AI, 5G transmission, and visualization technology, a comprehensive application mode of multiple systems and parameters is adopted. Genetic algorithm and comprehensive index method are applied to construct a slope risk comprehensive early warning model. A safety monitoring and early warning integrated intelligent platform is built, which integrates multiple monitoring systems such as slope surface displacement, radar monitoring, blasting vibration, groundwater level, rainfall, and video images. It solves the problems of inaccurate, untimely, unreliable slope warning, single warning indicators, and lack of collaborative warning functions, providing a scientific basis for the safety management of mining slope. The platform has been successfully applied in Sijiaying Iron Mine, and the results show that this platform has achieved all-weather and all-round accurate warning and graded control of safety risks in mining slopes, comprehensively improving the scientific decision-making ability and intelligent risk prevention and control level of mining slope safety emergency events. It has guiding and reference significance for slope warning and safety management in other mines.