Siemens adds edge AI to industrial modules for machine tools

October 01, 2021 // By Nick Flaherty
Siemens adds edge AI to industrial modules for machine tools
Two devices boost processing power with a Xeon processor for industrial edge AI processing offering for machine tools and captures data from external sensors

Siemens is expanding its Industrial Edge systems for machine tools with two new edge devices to support AI analytics.

In addition to the already available IPC227E, there is now the IPC127E, an entry-level device, and the IPC427E, with sufficient computing power for edge AI applications and data analytics. The IPC427E supports Intel processors from the Celeron G3902E (2 MB cache, 1.60 GHz) up to the Xeon E3-1505L v5 (8 MB cache, 2.00 GHz) with up to 16Gbytes of DDR4 SDRAM memory.

These can run a Simatic ET200 adapter that also offers the possibility of connecting additional external sensors and acquiring their data at a sampling rate of up to 10kHz. An updated version of he Analyze MyWorkpiece /Capture application has been updated to record data from external sensors in high temporal resolution. The app can now also stream process data via MQTT to an external MQTT endpoint.

This allows users to visualize the workpiece of a 5-axis machining operation with the newly developed online coordinate retransformation from the machine coordinate system to the workpiece coordinate system. This is interesting because the visualization of the machining axes in visualization applications such as Analyze MyWorkpiece /Toolpath gives no indication of the machined workpiece. All other recorded data can subsequently be visualized and analyzed with Analyze MyWorkpiece /Toolpath. The app also now allows the creation of a realistic surface reconstruction using process data recorded with Industrial Edge for Machine Tools. This allows the workpiece quality to be evaluated before a workpiece has even been manufactured, because the surface reconstruction also works with process data.

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