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Condition monitoring

Treon Industrial Node

Treon Industrial Node measures tri-axial vibration and surface temperature of rotating equipment, such as pumps, motors, and compressors.
Treon Industrial Node

Treon Industrial Node‚Äč

Enabling condition monitoring at scale.

A wireless condition monitoring sensor that is cost-efficient and easy to deploy. It measures tri-axial vibration and surface temperature of rotating equipment, such as pumps, motors, and compressors. Treon Industrial Node enables identifying abnormal vibrations or high temperatures, which are early signs of machine failure due to component imbalance, misalignment, wear, or improper use of equipment.

Cost-efficient

Low installation & maintenance cost, which make this the most cost-efficient solution in the market to monitor every machine in the factory.

Scalable

Tens to many thousands of wireless sensors can work together in an intelligent mesh network to enable condition monitoring at scale.

Widely compatible

Can be integrated with any cloud backend, which makes it extremely convenient to include in a wide range of IIoT solutions.

Choice to process the vibration data already in the Treon Industrial Node, send less data but get the same value.
Large battery, with an estimated lifetime of up to 6 years, depending on the configuration and operating environment.
Select your own measurement parameters, update intervals and what data to send to make it your own. One size does not fit all.
Marked with an IP67 rating, which allows the device to withstand harsh factory conditions.
Fast and easy to deploy on a large scale. Mount the sensors, and just press the on button. That’s it.

USE case

Condition monitoring

Condition monitoring enables the prediction of whether a machine is at risk of malfunctioning or break-down, which part is going to break, and the right time to service the machine. Not too early and certainly not too late.

Early signs of a machine breakdown can be sensed through condition monitoring, which reduces and prevents downtime.

Monitoring various parameters can indicate situations in which machines are not running at their highest efficiency.

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