基于物联网的污水处理智能控制方法及控制系统
By using IoT devices and data analytics, combined with the Hungarian algorithm and deconvolution algorithm, the problem of predicting pollutant load in wastewater treatment systems during rainfall periods was solved. This enabled accurate prediction and optimized control of future rainfall periods, avoiding system oscillations and energy waste.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGGUAN UNIV OF TECH
- Filing Date
- 2025-12-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing wastewater treatment systems struggle to effectively cope with pollutant load decay during rainfall periods, the asynchronous nature of pollutant and water transport processes, and the dynamic changes in pollutant load caused by complex pipeline networks, resulting in inaccurate control decisions and energy waste.
Data is collected by IoT devices, and the influent flow and chemical oxygen demand of the sewage treatment pipeline network are analyzed using a historical sunny day database to obtain the total average daily oxygen demand load on sunny days. By combining the Hungarian algorithm and the deconvolution algorithm, the pollutant load during future rainfall periods is predicted, and the dissolved oxygen setpoint curve is adjusted to optimize control.
It enables accurate prediction of pollutant load during future rainfall periods, optimizes the control decisions of the wastewater treatment system, and avoids system oscillations and energy waste.
Smart Images
Figure CN121721952B_ABST