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.
