The application discloses a large and medium-sized water and
electricity engineering emergency
resource assessment and prediction method and device, relates to the safety emergency technical field of water conservancy and
hydropower engineering, and specifically discloses the following technical scheme: multi-source heterogeneous data such as
engineering basic information, emergency resource account books and expert knowledge rules are collected, a standardized data base is constructed through cleaning and checking and
semantic mapping, an evaluation
index system is constructed based on the data base, the emergency resource guarantee capacity is quantitatively evaluated and the short board is identified through a comprehensive
evaluation algorithm, the
evaluation result is combined with an emergency scene, a task chain is deduced, resource demand is calculated and compared with inventory, the optimal storage quota is determined through multi-
scenario weighted optimization, finally, a multi-target model is constructed in combination with a budget and material priority, a phased scheme is intelligently optimized and generated, visualized interaction is output, and the optimal allocation and efficient scheduling of emergency resources are completed. Through multi-target intelligent optimization and visualized interaction, the phased scheme output is realized, and the problems of slow
emergency response and unscientific decision-making are solved.