Articles and background information on the topic
In recent years, the OPC Foundation has positioned OPC UA over MQTT as a standardized implementation of edge/cloud communication up to IoT providers such as AWS and Azure.
read more...The mechanical engineering company KMS Automation standardizes pressing and joining applications with the Smart Function Kit from Bosch Rexroth. The mechatronic subsystem simplifies machine design, increases process quality and shortens time-to-market.
read more...Manufacturers of CNC laser and plasma cutting systems are aiming for significantly shorter development times and faster time-to-market. The MTX CNC system from Bosch Rexroth supports this, for example with functions for simple engineering.
read more...Baumüller relies on OPC UA as an interface for the transfer of data between different participants, such as visualization or edge controllers, and has developed the ProDataX software tool for communication via the control technology to the drive level.
read more...Baumüller has implemented the areas of data access, security and methods within the standardized OPC UA interface and provides an OPC UA server for its controllers with the ProDataX software tool.
read more...A medium-sized machine tool manufacturer successfully networked its production facilities with the company software.
read more...The Smart Motor Control Platform from Dunkermotoren is now fully available across all series from 20 to 4,000 W output power. This enables the company to provide its customers with effective and future-proof control concepts.
read more...Scientists at the Fraunhofer Institute for Production Systems and Design Technology IPK are researching the potential of cloud technologies for industrial robotics together with the Technical University of Berlin.
read more...Fraunhofer IPA is working with Sick to develop an additional leakage service for an intelligent flow sensor. Self-learning algorithms evaluate the measurement data and detect leaks.
read more...Visualizations for IIoT applications
Machines, systems and production processes continuously generate data. Companies that succeed in generating added value from this data will be successful in the future.
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