Failures are best avoided if corresponding signs are recognised early, and appropriate countermeasures are initiated. Be it unusual vibrations in the bearing or falling below minimum pressures in the hydraulics. Intelligent sensors detect these indicators and send appropriate signals to the SAP system.
From signal to Incident Notification
In order for maintenance to be able to react to sensor signals accordingly, they must be evaluated and handled. This is because not every signal necessarily generates a fault message. And not every automatically generated error message is equally important. With OPRA, we not only support the entire maintenance process in SAP PM/EAM, but also work with you to develop a customised concept for how sensor data should be handled, when a fault message should be generated automatically and how it should be prioritised. As part of a workflow concept, it is also possible to define ad-hoc measures or generate notifications (e-mail, SMS, etc.). Maintenance becomes Maintenance 4.0
Augmented reality and data glasses have long been more than just buzzwords. The data glasses are virtually replacing the tablet as an input device. It won’t be long before users are navigating through virtual menus or forms with gestures, dictating texts into a microphone or typing on a holographic keyboard. Machine components are automatically recognised by their shape or a code, and the maintenance technician receives step-by-step instructions on how to repair the part projected directly onto the glasses.
If the specialist is sitting thousands of kilometres away, the individual steps for replacing the spare part or for the repair can also be displayed directly on the data goggles via remote access or combined interactively with important instructions.