Sense sensor units for condition
information provide data from which indicators for premature wear the product the risk product failure
can determined very early stage.Cee:local Online: i.Cee predictive maintenance i.Cee:cloud
Local network Online (IoT)
i.Cee Predictive Maintenance
● Provide abrasion and movement data
● Precisely predicts maintenance
● Prevents downtime loss quality
● Two options for data transmission: i.igus.Cee hardware
Sensors
Offline: i.Cee
i.
i.Cee:custom
● igus® supplies the i.eu/predictive-maintenance CAD, configurators, service life calculation and more www.igus. Based the experience gained the 3,800m² test laboratory for
plain bearings and energy transmission solutions, combination with self-developed algorithms, the system
alerts and informs the user early stage about possible failure risks and/or the next maintenance date.Cee:local i.Cee:plus module
● Installation top-hat (DIN) rail control cabinet
● Storage and processing sensor data
● Constant calculation the product's service life
● Additional connection i.Sense modules via USB
possible
i.Cee:plus II
SPS PLC SPS PLC Internal network
environment
IoT cloud
services
IoT remote
dashboard
Abrasion and motion sensors
i.Cee Modul
i.Cee:net
● Connection the igus® cloud possible
Both the above-mentioned sensors for service life calculation and the i.Cee:cloud
Standard: i.Cee
More information www.Cee
Predictive maintenance
.eu/smartplastics
smart plastics i.1202 1203
i.Cee
Predictive maintenance i.Cee software and uses the
customer hardware
● Individual solution development with the customer
i.Sense modules via USB
possible
● Upgrade Cloud possible
Optional: i.Cee:box
● Installation outside the control cabinet for wireless
communication with the sensor modules via LoRa
technology
● Additional connection i
