一种基于AI的除氟滤池智能运行控制方法及系统
By using AI-based methods for multi-source data fusion and dynamic decision-making, the problems of lag and deployment difficulties in backwashing control of defluorination filters have been solved. This has enabled adaptive optimization and real-time control of filter operation, reduced energy and water consumption, and improved operational stability and intelligence.
Patent Information
- Application Number
- CN202610830339.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing backwashing control methods for defluoridation filters suffer from problems such as identification lag, insufficient control loop, weak adaptability, and difficulties in engineering deployment. These methods are unable to cope with complex and ever-changing water quality conditions, resulting in high water quality risks and increased energy and water consumption.
An AI-based approach is adopted to achieve dynamic optimization of filter bed status assessment and backwashing strategy through multi-source water quality time series data fusion, attention-enhanced LSTM model prediction of water quality trends, deep deterministic strategy gradient mechanism decision-making, and online learning mechanism.
It achieves adaptive matching between backwashing strategy and influent water quality fluctuations, reduces energy and water consumption, improves the stability and intelligence level of filter operation, and meets the requirements of millisecond-level real-time control.
Smart Images
Figure CN122403537A_ABST