An AI intelligence-based water plant energy consumption optimization method and system
By constructing a large-scale vertical water management model and a chemical dosing-aeration coupled control model, the energy and chemical consumption of wastewater treatment plants were optimized, solving the problems of high energy consumption and unstable effluent quality in existing technologies, and achieving the effects of stable effluent quality and reduced energy consumption.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN RUIZHITONG TECH CO LTD
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing wastewater treatment plants have high energy and chemical consumption, and their control strategies are unable to cope with rapid fluctuations in influent load and sudden pollutant shocks, resulting in unstable effluent quality and an inability to achieve overall optimization.
An AI-based intelligent water plant energy consumption optimization method is adopted. By constructing a large vertical water model, the influent load is predicted, extreme conditions are identified, and a chemical dosing-aeration coupled control model is constructed. With the effluent water quality meeting the standard as a constraint, chemical consumption and energy consumption are optimized to achieve multi-variable collaborative control.
It enables accurate prediction of influent load for the next 1-4 hours, significantly improving the timeliness and effectiveness of control, reducing the power and chemical consumption per ton of water in the sewage treatment plant, and ensuring that the effluent quality consistently meets the Class A or near-Class IV discharge standards.
Smart Images
Figure CN122411005A_ABST