Treat Smart
Wastewater treatment is influenced by constantly changing hydraulic loads, influent composition and external conditions.
Guard Treat Smart uses machine learning and existing operational data to optimise coagulant dosing, predict incoming wastewater flows and estimate infiltration and inflow (I/I). The result is more informed process control without the need for additional instrumentation.
Better decisions begin with better predictions
By combining real-time process data, historical patterns and external factors, Treat Smart provides dosing recommendations and predictive insight into changing treatment conditions.
Optimising the treatment process
Coagulant demand changes with influent conditions. Treat Smart analyses operational data and external influencing factors to calculate recommended dosing levels that reflect these variations.
The model continuously adapts to operating patterns and seasonal changes, supporting more stable treatment performance and reduced chemical consumption.
Understanding the water before it arrives
Precipitation, snowmelt and soil saturation influence how much wastewater reaches a treatment plant—and when.
Treat Smart predicts influent volumes and estimates infiltration and inflow using existing measurements. Explainable AI helps operators understand the factors behind these predictions and prepare for changing hydraulic loads.
Key benefits
- Optimised coagulant dosing based on process conditions
- Reduced chemical consumption
- Predictive influent flow analysis
- Continuous infiltration and inflow (I/I) estimation
- Virtual measurements without additional sensors
- Explainable predictions and operational decision support
How it works
The treatment process is part of a larger system
Explore how connecting influent conditions, operational data and predictive analysis can support more informed wastewater management.