MODCON AI Water Treatment is an AI/ML solution for improving the efficiency, stability and energy performance of wastewater and water treatment processes. It focuses on optimisation of plant operation, especially where biological treatment, aeration, pumping, filtration and chemical dosing consume significant energy.
Wastewater treatment can consume around 2–3% of a developed nation’s electrical power, and biological treatment commonly accounts for 50–60% of a plant’s total energy use. This makes water treatment a major opportunity for practical energy reduction and process optimisation.
Biological treatment is usually one of the largest energy consumers, mainly due to aeration demand. Optimising aeration control, dissolved oxygen targets, blower operation and biological process stability can reduce energy use without compromising treatment quality.
The system analyses real-time and historical plant data to identify inefficient operation, abnormal process behaviour and unnecessary energy use. It can support better operating setpoints for aeration, pumping, recirculation, chemical dosing and other energy-intensive operations.
No. MODCON AI Water Treatment is designed to work above the existing automation layer. The DCS, PLC or SCADA system remains responsible for direct control and plant safety, while MODCON AI provides process intelligence, optimisation recommendations and advanced monitoring.
Online analyzers provide real-time information about water quality and process condition. This can include parameters such as dissolved oxygen, turbidity, pH, conductivity, ammonia, nitrate, COD, TOC or suspended solids, depending on the plant configuration. Without reliable live data, optimisation depends too much on delayed laboratory results or fixed operating assumptions.
Online analyzers provide real-time information about water quality and process condition. This can include parameters such as dissolved oxygen, turbidity, pH, conductivity, ammonia, nitrate, COD, TOC or suspended solids, depending on the plant configuration. Without reliable live data, optimisation depends too much on delayed laboratory results or fixed operating assumptions.
Yes. By using multivariate process analysis, MODCON AI can identify unusual relationships between operating variables before they become standard alarms. This helps operators detect early signs of process instability, equipment deterioration, poor aeration efficiency, dosing imbalance or filtration problems.
Typical benefits include reduced energy consumption, lower operating cost, improved process stability, better effluent quality control, earlier detection of abnormal operation and more efficient use of chemicals and equipment. Actual results depend on plant design, data availability, current control strategy and operating discipline.
No. The same optimisation approach can be applied to municipal wastewater treatment, industrial wastewater, process water treatment and other water-related systems where energy use, water quality and treatment stability are important.
