Smart Plastics by igus: Preventive Maintenance for Smart Factories

New intelligent plastic solutions offer many options for predictive maintenance

“Machine Learning”, “Big Data” and “Industry 4.0′” – the real potential customer benefits from digitisation are often hidden behind these buzzwords. Intelligent products such as igus smart plastics, for example, enable companies to increase the reliability of their systems, plan maintenance tasks accurately, and thus, save costs. The way this works is demonstrated by igus with new ideas at the Hannover Messe 2018 in hall 17.

Individual integration of smart plastics
The improved isense modules, which use sensors to collect data from the energy chain, cable, linear guide or slewing ring bearing, are equipped with a serial interface and can be easily integrated into a control cabinet. A data logger allows the storing of values on an SD card. The data measured by the different isense systems are then sent wirelessly to the icom module, summarised and processed. The customer has the choice of various concepts for integration into their own infrastructure. In this way there is an option for the icom to send the data from the sensors to a PC or integrate the data via the computer into the existing software environment and intranet solution. In addition, a connection to the igus Data Center is possible. In this case, the maintenance recommendations via mMachine lLearning and AI algorithms are constantly compared and defined with the experiences of many existing applications, for example in the large igus test laboratory spread over a floor area of 2,750 square metres. “Due to the numerous test findings that are fed oninto the online service life calculators, we are able to predict precisely how long an e-chain will work reliably in a particular application”, adds Richard Habering, head of the newly established smart plastics business unit at igus. ìThe isense components provide the customer with additional safety through a permanent service life update. This is because it includes the current ambient conditions of the actual application. Maintenance and replacement occurs only when it is really essential. This saves time and maintenance costs.