Aquatic installation predictive maintenance system and method

Abstract

The aquatic installation predictive maintenance system (100) comprises: at least one physical/chemical sensor (110, 115, 116, 117, 181, 182, 183, 184) interacting with water in at least one aquatic installation and configured to provide series of at least one sensed value representative of a physical/chemical parameter, and at least one processor (120) configured to execute instructions representative of the steps of: operating a trained machine learning model, said model being trained to associate, for at least one series of sensed value representative of a physical/chemical parameter, at least one aquatic installation operational degradation event associated with a date of event occurrence, and determining a sequence of maintenance operations to be performed on at least one aquatic installation as a function of at least one predicted aquatic installation operational degradation event and associated date of event occurrence.

Dependencies are inferred from the claim text.