Multi-disaster multi-mode flood flow intelligent monitoring and early warning method, system and device
By integrating multiple monitoring technologies and models, a multi-hazard, multi-modal intelligent flood monitoring and early warning method is adopted to achieve full-element perception and multi-modal early warning of floods and disaster chains. This solves the limitations of traditional monitoring and early warning systems, improves the accuracy and timeliness of disaster early warning, and enhances emergency response capabilities.
Patent Information
- Application Number
- CN202610195062.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-11
- Publication Date
- 2026-05-01
- Estimated Expiration
- 2046-02-11
AI Technical Summary
Traditional monitoring and early warning systems have limited functionality and lack comprehensive perception and intelligent early warning capabilities for floods and disaster chains, resulting in insufficient accuracy, timeliness, and reliability of disaster warnings.
A multi-hazard, multi-modal intelligent flood monitoring and early warning method is adopted. Data is collected from multiple sensors to establish a flood threshold early warning model. Video AI recognition is performed by combining edge-side visual analysis algorithms. A rainstorm-runoff coupling model and a river confluence coupling model are constructed. Flood evolution prediction is performed by combining topographic data. Multiple monitoring technologies and models are integrated to achieve full-element perception and multi-modal early warning.
It improves the accuracy and timeliness of disaster early warning, optimizes the accuracy of threshold models, enhances the latency of video AI recognition, improves emergency response capabilities, and enables intelligent monitoring and early warning of multiple disasters.