The NETWORKleak (TM) software developed by Mathclick uses the netSENS.ai Machine Learning model as an "engine" to reconstruct the flows in a sewer network, separating Inflow & Infiltration from expected flow, for each network segment and day by day. Using this information, the software gives operators a clear view of where I&I is coming from, prioritizing interventions where they are most needed. The inputs of the model are just a few measurements points on the network, plus "global" info like annual water invoicing to users, averaged legels of the surface water table, daily rain.
Quick implementation and low cost make for a huge return on investment for the sewers operators.
Contact us with the form in the page (or with the chat option) to start improving your network, saving money and protecting the environment, in three months!
P.S. We are working to extend NETWORKleak to identify the location of water leakage from water distribution networks. Contact us if you would like to be part of a pilot!