一种地表水污染分区防治动态管理系统及方法
By combining a multi-source water quality sensing network, a hydrological topology modeling unit, a fusion prediction and source tracing engine, a pollution evidence chain storage platform, and a regional prevention and control decision-making terminal, and integrating computational fluid dynamics and spatiotemporal graph neural networks, the problems of long calculation time and lack of interpretability of traditional water quality models have been solved. This has enabled second-level response and accurate source tracing of surface water pollution, and provided an immutable evidence chain and differentiated prevention and control strategies.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JINAN TED TIANCHENG ENVIRONMENT TECH CO LTD
- Filing Date
- 2026-03-16
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional water quality models are time-consuming to calculate, making it difficult to meet the real-time decision-making needs of sudden pollution events. They also lack tamper-proof evidence preservation and spatiotemporal logical tracing of the entire pollution diffusion process, leading to difficulties in environmental law enforcement and evidence collection.
By employing a multi-source water quality sensing network, hydrological topology modeling units, a fusion prediction and source tracing engine, a pollution evidence chain storage platform, and a zoned prevention and control decision-making terminal, combined with computational fluid dynamics and spatiotemporal graph neural networks, a dynamic management system is constructed to achieve pollution diffusion prediction and source tracing, and blockchain technology is used to ensure that the evidence is tamper-proof.
It achieves dynamic prediction and precise source tracing with a response time of up to seconds, improves computing efficiency and prediction accuracy, provides legally valid data credentials, supports differentiated prevention and control strategies, and enhances the level of intelligence in water resource protection.
Smart Images
Figure CN121882476B_ABST