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Innovation – Edge Computing

11 November 2020

Optimal Use of Data in the Field

In many cases, transferring data from machines and systems directly to a cloud solution is resource-intensive and infeasible due to the low latency required in industrial environments. Edge computing has established itself as a concept that combines the advantages of decentralized cloud architectures with those of a local network architecture.

The OT and IT levels within components are converging more and more. “Not least, this lets employees involved in production know what beneficial processes exist in the IT domain,” emphasizes J. Sparmann. He gives the example of Docker technology. “Since all the processes are becoming more and more intelligent, more and more data is also being collected,” explains Dr. A. Kleine. Instead of enormous data volumes being sent to the cloud, a portion of the processing takes place at the network’s edge. “So data processing is becoming more and more important where real-time data is involved,” he adds. It is also possible to implement low latency applications. “More and more computing power is needed, and this places corresponding demands on databases directly in the field,” emphasizes J. Sparmann. “That can’t be covered by a conventional PLC. But servers are usually overengineered for such applications.”

Therefore, WAGO is introducing two new edge devices that meet these needs: the Edge Controller and the Edge Computer. “They benefit high-level language programmers, since they get closer to the sensor as the data supplier,” emphasizes Dr. A. Kleine. “The last mile ceases to be a hurdle; the IT and OT environments merge.” Cloud services can also run on the edge devices, for instance to ensure that only critical data is transferred to WAGO Cloud. Edge devices have additional advantages when data needs to be buffered temporarily, for instance in mobile applications.

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