Smart Dosing Control Solutions for Wastewater Treatment Plants

Focusing on the two key chemical dosing cost stages in wastewater treatment plants—chemical phosphorus removal and carbon source supplementation—we provide an intelligent control solution based on AI and process models. By analyzing influent load data in real time, the system precisely calculates and doses phosphorus removal agents and carbon sources, optimizing chemical consumption and effluent quality while ensuring that total phosphorus and total nitrogen in the effluent consistently meet discharge standards, significantly reducing operating costs.

We provide a smart control solution based on AI and process models. By analyzing inlet load data in real time, the system precisely calculates and doses phosphorus removal chemicals and carbon sources — optimizing both chemical consumption and effluent quality while ensuring stable TP and TN compliance.

How It Works

Smart Chemical Phosphorus Removal Dosing Control

Feedforward Adjustment — Builds a phosphorus removal dosing model based on inlet flow rate and pre-dosing orthophosphate concentration.

Feedback Correction — Uses effluent total phosphorus (TP) concentration as feedback, with neural network algorithms for rolling model optimization.

Dual-mode Operation — Supports coordinated control between AI smart mode and model-based automatic mode, ensuring system reliability.

Applications

Coordinated biological and chemical phosphorus removal control in municipal wastewater treatment plants.

Wastewater plants with insufficient influent C/N ratio requiring substantial carbon source supplementation.

Wastewater plants facing both phosphorus removal and denitrification pressure, requiring precise chemical cost control.

Chemical Cost Savings

Chemical Cost Savings: Practical case studies show 10%–30% savings in chemical consumption.

Stable Effluent Compliance

Dynamically responds to flow and water quality fluctuations, ensuring stable TP and TN compliance.

Improved Operational Efficiency

Upgrades dosing from experience-dependent to data-driven, enabling refined management.