Solution collects plant operational data, maintenance activities and connects 3rd party data sources. The information is stored to own analytics data storage isolated from operational use and therefore does not affect plant operation as such. The solution is based on World’s leading analytics and machine learning platform.

Analytics produces real-time information about plant state and presents it visually in KPI. Machine learning algorithms inspects data deviations and processes the findings. When a deviation is found, that is suspected to lead into asset failure, system dispatched an inspection Work Order automatically and launches corresponding alarm. Solution learns from the data constantly.

Analytics implementation is done by customer need and previous implementations for the similar plant types.


»    Possibility to combine different data sources, for example fuel information, operation data and energy distribution
Machine learning algorithms constantly looks for data deviations and launches actions, one step in front of asset failure
Plant state as KPI’s

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