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lenord1119SPS hall 7A, booth 210

In order to promote digital networking by means of universal, standardized interfaces, the network "Umati" (universal machine tool interface) has been established. Lenord + Bauer participates in the project with intelligent built-in encoders, which make it possible to transfer process data in standard language. This results in new approaches to condition monitoring.

The Umati project partners from the machine tool industry share a vision: In the future, machines and automation solutions are to coordinate with each other via a common language worldwide. This reduces the effort for machine connection to customer IT infrastructures.

Lenord + Bauer contributes sensor technology expertise to the project. Intelligent encoders will have flexible digital communication protocols and process data in real-time. With the new "Minicoder" generation, the Oberhausener company pursues its "I3Saac's product strategy. Behind them are integrated, intelligent and interactive sensors as well as autonomous actuators and controllers, which in the future will not only pass on measured values ​​or perform movements, but deliver added value. Internal, filtered and optimized data are combined. Edge AI computing increases the density of information: Sensors are starting to think. The upstream instance, for example a central control system, receives the required data from the edge of the network in a targeted manner.

The intelligent sensors digitize the measured values ​​from the drive and allow linking with different points in the CNC, eg. B. at the frequency converter. With the "MC Observer" sensor solution, the data is either transferred directly to the CNC or prepared beforehand using an OPC server. Alternatively, they can be transferred fully processed directly into the Umati language. The signal path of the motor feedback system remains untouched and the Saftey requirements are fulfilled. Measured values ​​thus become information that can be used for process optimization or linked to other signals such as temperature, vibration, radial and axial shaft displacement. This enables comprehensive statements for predictive maintenance.


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