科技创新与应用2026，Vol.16Issue(22)：22-25,4.DOI:10.19981/j.CN23-1581/G3.2026.22.006
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
杨静1
作者信息
- 1. 聊城黄河河务局东阿黄河河务局,山东 聊城 252200
- 折叠
摘要
Abstract
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.关键词
防汛抗旱/物资调度/大数据/人工智能/数字孪生/知识图谱Key words
flood control and drought relief/material dispatch/big data/artificial intelligence(AI)/digital twins/knowledge graph分类
信息技术与安全科学引用本文复制引用
杨静..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[J].科技创新与应用,2026,16(22):22-25,4.
