Early Detection of Damage in Predictive Maintenance
With modern sensor technology and smart data analysis, you can detect damage before it escalates. Whether it involves leaks in water pipes, overheating in electrical systems, or mechanical wear – continuous monitoring makes it possible to identify problems early and take targeted action. This not only saves costs but also protects your assets and infrastructure in the long term.
How have other companies implemented this use case?
Discover solution examples from our network



Enabling remote service for construction machinery despite data laws



AI-supported level monitoring of casting resin drums




Vibration analysis with LoRaWAN reduces failures in water pumps
At CHEMPARK, CURRENTA monitors river water pumps with battery-powered LoRaWAN vibration sensors and AI-supported analysis. Predictive maintenance cuts downtime by 70% and extends service life by 30%.





Pump monitoring for predictive maintenance and reduced downtime



Detecting corrosion under insulation early with IoT monitoring



Connect high-end microscopy systems – centralized data makes service predictable





Digital service portal as a white-label solution





Operating compressed air compressors efficiently with remote monitoring




Early Detection of Pump Failures in Aquaculture Systems
This use case has already been implemented. We know the people behind it.
Just ask us. We look up how your use case has already been implemented and put you in touch personally.
IoT Building Blocks
Have a concrete IoT project in mind?
We know the vendors who've already done it.

