Machine learning for the management of water and wastewater treatment processes

The aim of project CZ.01.01.01/08/23_036/0005348 is to develop software platforms that use machine learning for the control of water treatment and wastewater treatment plants. Existing technological know-how will be applied in the context of machine learning for the routine operational management of these facilities. The capabilities, possibilities, and limitations of the investigated proof of concept will be verified within the operation of a municipal wastewater treatment plant, systems with granular biomass, and a comprehensive dispatch system for data collection on septic tank filling and planning of waste collection.

 

The integration of machine learning into common treatment and purification facilities will enable better process management, improved organization of operational loops, reduced operating costs, and lower wear and tear on equipment and components. For operators, machine learning will mean reduced operational costs while simultaneously increasing automation of process control and the dynamics of their management.