Abstract: In order to improve the standardization level of safety monitoring and management of the Zaodu Reservoir Project, and enhance the efficiency of safety monitoring and management, this paper developed a Zaodu Reservoir Project safety intelligent analysis and warning system based on the engineering safety monitoring automation system and other systems or functions. The system includes engineering management, monitoring management, data analysis, monitoring warning, patrol inspection, 3D display and other functions, based on the two dimensional and three dimensional visualization scene and data base plate of the Zaodu Reservoir hub project and water conveyance project. The system has established a safety status analysis model based on the structural characteristics, safety hazards, and weak links of reservoir hub projects and water conveyance projects. Data fusion, data mining, machine learning, and other methods are used to analyze and predict the evolution trend of engineering safety status. With the prediction results as input, the safety warning model and relevant knowledge such as engineering hazards, decision-making consultation, and expert experience are called up to classify and warn of engineering safety hazards, quickly capture abnormal parts, and timely release warning information, ensuring the safe and stable operation of the project and supporting the comprehensive benefits of the reservoir.