Improving the efficiency of water distribution systems with IoT and Artificial Intelligence.

USE CASE

ABSTRACT

The use of innovative technologies to identify and mitigate water losses in aqueduct systems.

Where: Italy

Mission
Enabling integrated water cycle operators to initiate active leakage control, access KPI reports for ARERA indicator calculations, and benefit from integrated data from diverse sources to support decision-making; to enable the management of customized alerts and the use of Machine Learning tools for network management (pressure, leakages).
Solution
A Composable Platform that enables the acquisition and centralization of information, localization of leaks, real-time data sharing, predictive analysis of network deterioration, prioritization and management of interventions, as well as the calculation of indicators and reporting on water losses.
DIGITAL ECOSYSTEM
Actions
  • Making the entire water distribution chain more transparent and easier to monitor through IoT, ensuring timely and systematic identification of infrastructure deficiencies and reliable management of remote assets.
  • Managing active leakage control with What-if scenarios for forecasting and anticipating service interruptions
Expected results

 

 

 

 

Predictive analysis for efficiency management.

 

 

Reduction of water losses.

 

 

Predictive maintenance process management.

 

 

Regulatory compliance.