Our projects
Maintaining assets with the help of AI #multiutility
Predicting the health of public lighting supports. We did this for a major multi-utility, working on 450,000 lighting points in 88 municipalities.
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For public lighting facility management, being able to intervene early on the state of deterioration of a support is a priority. In this project, we developed AI models that predict the health status of the supports and the remaining “life”.
By integrating endogenous data with exogenous data (distance from the sea, rainfall, landslide risk, etc.), the AI models calculate the risk of deterioration, prioritizing the interventions to be implemented.
Results
– 40% Risk level in the simulation
– 25% Average budget allocated per municipality
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