Early Detection of Damage
With modern sensor technology and smart data analysis, damage can be detected before it escalates. Whether leaks in water pipes, overheating in electrical systems or mechanical wear – continuous monitoring makes problems visible early. In condition monitoring and predictive maintenance this leaves time for targeted maintenance, in corrective maintenance affected components are located quickly, and in loss prevention it protects assets and infrastructure in the long term.
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Assets where this use case was implemented
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Monetizing IoT services: from machine connectivity to revenue models
Connected machines alone do not generate revenue. At ZEISS Microscopy and EWE Go, doubleSlash shows how machine data turns into recurring revenue: Connect, Make Smart, Monetize.
Proving well integrity continuously via LoRaWAN without site visits
WIKA captures annulus and tubing pressure at oil and gas wells via LoRaWAN®, without laying a cable. The wireless sensor reports anomalies within minutes and site inspections drop by over 75 percent.
Steam network monitoring with LoRaWAN®: detect losses and optimize generation
At a chemical site, Conneqtive monitors network temperatures and steam traps via LoRaWAN®. Leaks show up early and the power plant runs without unnecessary buffers.
Current consumption enables condition-based fan maintenance
An ifm current transformer and the moneo platform monitor the current draw of fans. Winding damage and stiff bearings show up before the extraction system fails.
Protecting mobile racking from downtime through condition monitoring
Enabling remote service for construction machinery despite data laws
Cyber resilience for ship propulsion via certifiable OT security
Maintain district heating networks via IIoT pressure monitoring
AI-supported level monitoring of casting resin drums
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