基于AI算法的水文安全防护预警方法、系统及介质
By using an AI-based hydrological safety protection and early warning method, hydrological safety data is collected and processed, and risk analysis is performed using a lightweight and dedicated anomaly detection model. This solves the problems of misjudgment and omission in existing technologies and enables real-time, accurate identification and graded early warning of hydrological safety risks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG PONSHINE INFORMATION TECH CO LTD
- Filing Date
- 2026-03-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing hydrological safety early warning technologies rely on physical sensor networks and do not consider network security and physical environmental anomalies, making comprehensive analysis difficult and prone to misjudgment or omission.
A hydrological safety protection and early warning method based on AI algorithms is adopted. By collecting hydrological safety data, data cleaning and feature extraction are performed. A lightweight risk category prediction model and a dedicated anomaly detection model are used to make an initial judgment on risk categories. Combined with an integrated model, dual-channel reasoning is performed to generate a comprehensive anomaly score and provide graded early warning.
It enables real-time identification and accurate judgment of hydrological safety risks, reduces misjudgments, forms a closed-loop process, and improves the accuracy and reliability of anomaly identification.
Smart Images
Figure CN121938166B_ABST