Compressed air systems 

Real-world example: combined vibration and temperature monitoring on a compressor This graph shows the combined measurement of vibration levels (g) and temperature (°C) on an industrial compressor, over the period from January 6th to...

Compressed air systems 

In the steel industry, compressed air is indispensable. It is used for pneumatic actuation, cleaning, and overpressure protection of critical equipment. However, compressed air systems are notorious for their inefficiencies:invisible leaks, pressure loss, and unexpected malfunctionsleading to high costs and risks.

What can go wrong?

    • Air leaks → continuous energy loss

    • Compressor failures → failure of machines that depend on air supply

    • Pressure imbalance → reduced performance or equipment damage

These problems often arise gradually – and are only noticed when it's already too late.

Solution: real-time monitoring with IoT sensors

Neuron flow and vibration sensorscontinu monitor the performance of compressors and other components of the compressed air system. They detect deviations in consumption, vibrations, or pressure – signals of leaks, wear, or impending failure. This allows you to intervene proactively before the system fails.

Why invest in IoT sensors for compressed air systems?

    • 70%: Fewer unexpected downtimes– through early detection of malfunctions

    • 10–30%: Lower energy consumption– by detecting air leaks

    • 5–20% lower maintenance costs- through targeted inspections

    • 3–5% lower replacement costs– by extending the lifespan of compressors

    • 5–20%: Higher system efficiency– for optimal pressure control and monitoring

Real-world example: combined vibration and temperature monitoring on a compressor 
This graph shows the combined measurement ofvibration levels (g)entemperature (°C)on an industrial compressor, over the period of January 6th to February 14th. The green line shows the vibrations, while the blue line tracks the temperature. 

During multiple peak moments, it is clearly visible that increased vibrations were accompanied by a rising temperature – an indication of possible wear or imbalance in the drivetrain. Thanks to real-time monitoring withNeuron sensorsthe maintenance team was able to intervene in time and unexpected downtime was prevented. 

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Jeroen Frantzen

Our specialist

Jeroen Frantzen

predictive maintenance | iot sensors
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