
Building blocks for Industry 4.0
I4.0-capable components on machines and systems are essential for the smart factory of the future - everything from sensors and control systems to cloud connectivity is required. Below is a small selection.
Articles and background information on the topic

I4.0-capable components on machines and systems are essential for the smart factory of the future - everything from sensors and control systems to cloud connectivity is required. Below is a small selection.

Adlink is launching a controller with an IoT gateway onto the market. The computing power of the MXE-210 is provided by an Intel Atom x7-E3950/x5-E3930 processor (codenamed Apollo Lake-I).

With the DNP/AISS1, SSV is presenting an evaluation board with various sensors and pre-installed machine learning algorithms for industrial applications.

The Jetson TX2i modules from Nvidia are used in the new AI embedded computer from Syslogic. According to the provider, the GPU is characterized by an economical but powerful quad-core processor platform.

With the release of Codesys V3.5 SP14, the range of functions of 'Codesys Control' has been extended. The runtime system is now available in a 64-bit version for all ARM/Cortex-based platforms, with optional multicore support for the Raspberry Pi, among others.

The Twincat IoT Communicator from Beckhoff enables communication between the PLC and a mobile device. It connects the 'Twincat' controller directly to a messaging service via secure TLS encryption.
Industry 4.0 requires the convergence of IT and OT. How can a migration path from today's technologies to Industry 4.0 support this convergence without tearing down important bridges to the past?
The number of real AI projects in mechanical and plant engineering is still very limited. This will soon change with a new generation of engineers and, above all, with the market launch of corresponding development tools.
Bosch is planning to strengthen its activities in the field of future-oriented AI technology: In 'Cyber Valley', the technology company plans to invest around 35 million euros in the construction of the 'Bosch AI Campus' in Tübingen.

Atos, Siemens and Rittal are now entering into a partnership to enable the rapid development of IT infrastructures with high real-time data volumes.