AVEVA Predictive Analytics

AVEVA Predictive Analytics uses machine learning to continuously monitor critical mining assets — crushers, mills, conveyors, pumps, and rotating equipment — learning normal operating patterns from PI System data and flagging anomalous behaviour before it results in unplanned downtime. The system builds digital profiles of healthy equipment operation and alerts maintenance teams when actual performance deviates from expected behaviour, providing lead time for planned intervention.

In mining deployments, the product has demonstrated significant value: one customer reported direct savings of approximately €1.5M per year and 64 days of avoided downtime. The system integrates natively with PI System data, making deployment straightforward for operations already running the AVEVA data infrastructure. It is particularly effective for high-value rotating equipment where unplanned failures carry catastrophic cost and safety implications.