Santiago Metro uses AI for predictive maintenance to anticipate failures

Santiago Metro is leveraging artificial intelligence to enhance the reliability of its service through predictive maintenance. Felipe Bravo, the general manager, explained that the transit system began more intensively using this concept last year.

The AI system analyzes data from equipment alarms and operational logs. By processing this information with artificial intelligence programs, the system learns normal operating patterns and can anticipate potential failures before they occur. This proactive approach aims to reduce breakdowns and improve the overall efficiency of the metro.

This transition to predictive maintenance is seen as more than just a technical improvement. It directly impacts the daily experience of the millions of passengers who rely on the Santiago Metro network. By minimizing unexpected technical issues, the metro aims to provide a more consistent and dependable service.