Smart oil supply monitoring – prevent damage from dry running 

In industrial environments like steel mills, lubrication systems are crucial for machine reliability. However, many lubrication points are still checked manually – a time-consuming and error-prone approach. Especially with mist lubricators and automated grease pumps...

In industrial environments like steel mills, lubrication systems are crucial for machine reliability. However, many lubrication points are still manually checked – a time-consuming and error-prone approach. Especially inMist lubricatorsenautomated grease pumpsA small leak or blockage can have major consequences. 

What can go wrong? 

  • Oil or grease reservoir unexpectedly empties 
  • Equipment runs without lubrication → rapid wear or failure 
  • No insight into if and how much is being lubricated 
  • Manual checks are time-consuming and not scalable 

Solution: Neuron potentiometer + level sensor 

Through aNeuron potentiometerto combine with aLiquid level sensor, the oil level in mist lubricators is continuously monitored. In the event of a sudden drop – for example, due to a leak – a warning is immediately sent. 

Practical example: Real-time monitoring of oil level in a mist lubricator 

This chart shows the trend of the oil level in a mist lubricator reservoir over several days. From Tuesday to Friday morning, the level remains stable at around 8,500 units. Around midday on Friday, the oil level suddenly drops to almost zero – a clear indication of a leak or unexpectedly high consumption. 

Thanks to the combination of aNeuron potentiometer and level sensorthis deviation was detected immediately. This allowed the maintenance team to intervene quickly and prevented equipment from running without lubrication, which could have resulted in damage or downtime. 

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Jeroen Frantzen

Our specialist

Jeroen Frantzen

predictive maintenance | iot sensors
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