Digital Twin for National Water Utility

Client
Government
Industry
Energy
Services
Data & Analytics
Case Study Cover

The Challenge

Managing a vast, buried, and aging infrastructure with limited visibility.

Client Overview

The national body responsible for potable water distribution.

Solution Components

Hydraulic Modeling Digital Twin

Leak detection AI

Predictive Maintenance Scheduler

Challenges & Risks

1

30% non-revenue water (loss)

2

Aging pipeline infrastructure

3

Reactive rather than proactive repairs

Key Impact

Saved
50 million liters of water daily
Reduced
emergency pipe bursts by 40%
Extended
asset life by 10 years

The Solution

Created a live digital twin of the water network, simulating flow and pressure to pinpoint leaks before they surface.

Tech Stack

Azure Digital TwinsPythonScikit-learnGIS
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