Facility and asset management is moving from reactive to predictive procedures in order to meet expectations regarding lower maintenance expenses. The key to obtain reliable predictions of the future and to discover potentials for reducing energy consumption is to learn as much as possible from past data.
Visplore enabled our maintenance department to predict bacterial attacks on a central cooling system. This has increased the average time between bacterial attacks from 19 to 49 days, allowing the plant to operate more economically and stably.
Leader Operational Excellence Maintenance, Gas engine manufacturing company
Perfect for dirty sensor data. With Visplore, we give customers more insights for the same money.