Reducing Non-Revenue Water and controlling pressures in SADM

The non-revenue water (NRW) and pressure control project included a first line of action which consisted of integrating the signals from the equipment fitted in the macro-sectors and circuits into the SmartSCADA (enabling the necessary sensors and connection means), as well as installing screens to display the main operating variables from each of the macro-sectors and circuits.

The project’s second line of action included the deployment and configuration of the Leak Detection solution to monitor 300 macro-sectors and 2,500 circuits, together with the implementation of Machine Learning and Artificial Intelligence algorithms to optimize pressures. In addition, a pilot of the Real-Time What if-Scenarios solution was launched in some macro-sectors of the network as a test run for a more ambitious project that aims to control SADM’s entire network and provide it with tools for scenario simulation, network operator training and/or system operation optimization.

SADM is now able to monitor, analyze and make decisions about its water network operations thanks to the deployment of the platform, which has enabled it to establish and/or assign daytime and nighttime setpoints for PRVs and thus control user consumption. Moreover, it has identified possible anomalies in night-time consumption that point to visible and hidden leaks. As a result, considerable reductions have been obtained in the average consumption of some of its macro-sectors and circuits, with 34% to 37% less water being consumed after the actions that have been taken.

This project has consolidated our company’s technical services in Mexico, gradually positioning us as the leading technological solution provider in the country. This represents an opportunity for other utilities in Mexico to replicate good practices and technological innovation by considering the Xylem Vue platform powered by GoAigua as an option to enhance their water management, as well as to obtain and harness information to improve the operational efficiency and management of their water networks.