Frequently asked questions – industry 4.0

For more information on igus® smart plastics and industry 4.0 visit

Yes, igus® offer both condition monitoring and predictive maintenance which feed directly into the objectives of industry 4.0

Absolutely, visit here for the PRT range and contact us to discuss implementing industry 4.0 technology into your business.

Being able to 3d print parts with sensors has many positives! Not only is it cost effective, they can be delivered much quicker than moulded parts.

Our 3d printed parts are produced via multi-material printing. The sensors are printed into the tribo component.

As with all igus® products, there is no minimum order quantity.

Absolutely. Please give us a call on 01604 677240 to discuss the application and parts you would need.

We offer two data transfer systems. One is what we refer to as i.Cee:local. This is when you use your own corporate network and you determine the software it talks to.

The other option is the i.Cee:cloud. This is a cloud service where data is transferred directly to the cloud, encrypted and protected.

i.Cee is igus® generic name for our predictive maintenance systems.

  • Predictive maintenance capability
  • Planned maintenance possible
  • Extended service life

The word i-cee derives from “I see ahead” as we can pre-empt maintenance needed on your applications

Automotive production downtime can cost tens of thousands of pounds every hour so predictive maintenance alleviates the pressure of an unexpected error.

We use data from our test laboratory as a base line then combine with machine learning in real time.
We also use algorithms from our existing lifetime calculation tools that are freely available on our website (which are based on test lab data) this is then used as a base line

No you don’t, it can be stand alone, cloud based or linked to network.

As it is a cloud based, it is secure with secure servers. We can be more specific if needed, just give us a call.

i.Sense is condition monitoring only but i.Cee combines predictive maintenance with condition monitoring.