大数据赋能人工智能在防汛抗旱物资智能调度与应急决策中的实践研究OA

Aiming at the problems of information lag,uncertain demand and difficulty in coordination in traditional flood control and drought relief material dispatch,this paper builds an intelligent dispatch and decision-making framework that integrates big data and artificial intelligence(AI).A 30-minute grid drought index is generated through multi-source data fusion,and short-term flood and drought level rolling forecast is realized based on the LightGBM-XGBoost stacking model;two-stage robust optimization is used for collaborative scheduling with PPO-Transformer agent to complete training and deduction in a digital twin environment;combine the knowledge graph to achieve fast query resolution,and verify the feasibility of the system through scriptless drills.The evaluation results show that the system can significantly improve dispatch efficiency and reduce costs,providing effective technical support for flood prevention and drought relief emergency management.