EQUILIA AI
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06 · Sustainability

Catalogue module · phased deployment

Water AI

Monitoring of water networks, leak and fault detection.

The challenge

Leaks in the water network can go unnoticed for a long time, and faults are repaired only once they have already caused supply interruptions or damage.

The solution

Leak detection, fault prediction, water quality monitoring, irrigation optimisation and predictive maintenance of networks.

Features

  • Leak detection
  • Fault prediction
  • Water quality
  • Irrigation optimisation
  • Predictive network maintenance

Use cases

How it applies in the city

01

Leak detection

Flow and pressure patterns make it possible to identify abnormal consumption and locate the likely section of a leak.

02

Predictive maintenance

The network’s history helps prioritise the renewal of the sections most at risk of failure.

03

Efficient irrigation

Irrigation of parks and gardens is adjusted according to the weather and soil moisture.

Architecture

From data to action

Data sources

  • Flow meters and pressure sensors
  • Water quality sensors
  • Network remote control
  • Weather data

Water AI

Outputs

  • Located leak alerts
  • Maintenance orders
  • Water quality monitoring
  • Adjusted irrigation schedules

Benefits

What the municipality gains

  • Less water lost in the network
  • Repairs before they turn into supply interruptions
  • Investment prioritised in the highest-risk sections
  • More responsible use of water in green spaces

Integration with Equilia City Brain

When Water AI detects a leak, City Brain generates the maintenance order and, if there are supply interruptions, Communication AI notifies the affected residents.

Water leak

Sensors detect abnormal consumption, Water AI identifies the likely section of the network, a maintenance order is generated and citizens are notified if there are supply interruptions.

Interested in Water AI?

Combine it with other solutions and we will prepare a joint proposal for your municipality.

Request a proposal