Predictive maintenance

Thanks to the digital evolution of the water network, we ensure the efficiency and the continuity of the water service.

Acea Acqua technicians Acea Acqua technicians

We apply new digital technologies to distribution networks and facilities for water infrastructure management, leveraging predective modelling

 

This approach is one of the pillars of the Group's innovation strategy and demonstrates our commitment to sustainability and service optimisation.

 

Exposed pipes in a lawn

How the predictive model works

We collect data from the different stages of the water cycle and analyse elements such as pressure, flow, losses, and water quality.


These data, processed in real time 24/7 through artificial intelligence models and machine learning algorithms, allow us to constantly monitor the status of the infrastructure and predict potential anomalies. 

Our projects for predictive maintenance
Our projects for predictive maintenance

For the environment, for the people

 

Predictive maintenance is essential for

Reducing water losses to protect the resource

Ensuring service continuity for citizens and communities

Reducing maintance costs of facilities and infrastructure

We look ahead, in Italy and worldwide

 

We bring our know-how in managing water resources to all the areas where we operate, in Italy and abroad. We are working to achieve the following goals:

  • To digitalise water infrastructure completely within the next few years.

     

  • To create a model that can also be replicated for other services (energy, environment).

     

  • To contribute to achieving the UN Sustainable Development Goals.