Manufacturing AUTOMATION

Siemens releases Simatic IOT2050 gateway for data transmission in the plant

March 11, 2020
By Manufacturing AUTOMATION


Siemens is launching a gateway based on the TI ARM processor family, which links cloud, in-company IT and production.

Simatic IOT2050 is designed for industrial IT solutions for the acquisition, processing and transfer of data directly in the production environment.

It can be used for connecting the production process to a cloud-based analysis of machine and production data, for example. The new IoT gateway will also be equipped with remote edge functionality for easy integration into Siemens Industrial Edge solutions.

The gateway can also be retrofitted in already existing plants, where it then harmonizes communication between different data sources, analyzes the data, and passes it on for evaluation to a cloud, for example.

Advertisement

This cloud can be MindSphere, or any other solution preferred by the user. The Simatic IOT2050 complements the MindConnect Nano cloud gateway from Siemens. This gateway is already on the market, and is specifically designed for MindSphere.

The hardware of the new Simatic IOT2050 gateway has a compact design and is suitable for both wall and standard rail mounting, is equipped with a power-saving Texas Instruments ARM AM 6548 (+Secure Boot), 2 GB DDR4 RAM and multiple interfaces including two Gbit LAN, two USB, and a serial and Arduino interface.

It comes with the Simatic Industrial OS already installed. Simatic IOT2050 can be expanded for custom solutions with Arduino shields and mini PCIe cards. It also supports Linux based on Debian. There are also many other options for programming in high-level languages. Together with the planned edge functionality, it is easy for the user to integrate the Simatic IOT2050 into Siemens Industrial Edge solutions.

The Simatic IOT2050 is typically used for preventive machine maintenance and linking production to the ERP (Enterprise Resource Planning) level in order to minimize expensive production downtimes. Relevant indicators can be evaluated and impending signs of wear detected at an early stage.


Print this page

Advertisement

Story continue below