Predictive maintenance with i.Cee:plus II: A whole lot of Industry 4.0 in one device

igus i.Cee Predictive Maintenance device with connectors and status lights, cut out.

New i.Cee:plus module enables deep integration into customer networks and numerous IoT use cases
i.Cee - now also in the network environments and IoT concepts of our customers. The 2nd generation of the i.Cee:plus module creates the ideal conditions for predictive maintenance in line with customer requirements. This is because the possibility of seamless integration into the intended network environments of the respective applications means that a wide variety of Industry 4.0 use cases can be realised.

From preventive service management, which schedules regular maintenance depending on usage, to location-independent fault management, which immediately reports any unforeseen changes via various mobile channels, to comprehensive sensor data management, which even enables the integration of 3rd party cloud solutions, everything is possible. All information is aggregated in a modern dashboard, online or offline in the local network, depending on the customer's requirements.

This makes the 2nd generation i.Cee:plus module the centrepiece of every Industry 4.0 energy supply system, always with the aim of achieving maximum system and user safety as well as product service life.

Part number: IS.PLUS.01.01.0.BETA

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Tech up

Numerous, modern connections for optimised sensor data management (IoT integration, 3rd party cloud solutions, etc.)
Increased connectivity for absolute transparency –
"anytime, anywhere, anyhow" (network connections: dashboard in the local intranet, connection to PLC and system monitor, communication with local 3rd party software via JSON / MQTT / REST / .CSV / .TXT, optional connection to cloud solutions)

Cost down

Maximise product service life through efficient retrofit management
Avoid unplanned system downtimes and thus downtime costs with predictive service management

Proof

Ongoing test program in the industry's largest test laboratory for dynamic
energy transmission systems
In use since January 2021 in Poland with a 440m
travel

Sustainability

Savings on physical travelling costs through remote connections
Unplanned service calls can be avoided - approx. 3.6kg CO2 saved per 100km travel

What does predictive maintenance (i.Cee) mean at igus?

Only the intelligent networking of individual components creates a solid basis for predictive maintenance concepts. At igus, predictive maintenance is summarised under the term i.Cee.

The central element in this area is the i.Cee software. This software, in conjunction with sensors on the energy chain, the plain bearing bushing or a carriage, turns the products available from stock into smart products. This upgrade makes it possible to determine the maximum service life of your igus product, and the i.Cee system also indicates the perfect service time. Algorithms adjust the service life and the service time according to usage. With the software and a few sensors provided by us, standard products available from stock can be transformed into smart energy supply or bearing technology in no time at all.

Learn all about predictive maintenance here

You alone decide on the route & access of the data

Data transfer within your local company network (i.Cee:local) or via the secure cloud (i.Cee:cloud)

i.Cee:local

Your data do not leave your company network at any time, since the i.Cee software communicates only within networks of your choice. Options range from an energy chain within a single machine to a machine park and your own output interface.

Cloud symbol with binary numbers and Wi‑Fi elements.

i.Cee:cloud

With this internet-based solution, a distinction is made between sensors that transmit their data directly to the cloud, where it is made available in a protected area via a browser dashboard. With the second option, the data makes an intermediate stop via the i.Cee.net, a so-called data concentrator. The i.Cee.net is located on site, which means you can stop or adjust the data exchange to the cloud at any time.

The white paper on predictive maintenance

Differentiates condition monitoring from predictive maintenance

In this white paper you will learn

What does condition monitoring (i.Sense) mean for igus
What is predictive maintenance (i.Cee) for igus
What technology is behind both systems
What do both systems offer for energy supply in industry

Go to download

Whitepaper on the holistic view of machine control and smart plastics.

Go to download

Industry 4.0: realised in practice

Customer applications with smart plastics

Aluminium oxide production
"If chain movement is excessively impeded by dust and dirt, push/pull force monitoring switches the system off before any damage can occur."

Aluminium Oxid Stade GmbH (AOS)