Buying availability and performance by replacing assets on forehand and running redundant systems seems to serve the public at best. However spending public money on assets and maintenance which are not necessary is also hard to justify. Further more an increasing discussion on energy efficiency is current.

A perfect scenario is to execute maintenance when assets are not used or critical just before they have to perform. This prediction needs to take in account weather forecasts, asset degradation. Because energy usage and asset degradation has a progressive character the predictive models also need to take in account the expected influent and pump capacity so the assets are only used at a nominal capacity.

OpenICM and Sensor technology can just that, on average we where able to save 30% energy, saved travel and replacement costs and reduced the TCO with more than 25%, the system extended that pump and motor lifespan with over 400%.