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The advantages of edge applications are well known. However, a traditional PLC cannot pre-process the data locally. IoT applications can be easily implemented with edge PCs including pre-installed software tools.
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The advantages of edge applications are well known. However, a traditional PLC cannot pre-process the data locally. IoT applications can be easily implemented with edge PCs including pre-installed software tools.

Edge computing has many advantages for the manufacturing industry: IoT devices, machines and systems benefit from low latency, and should the internet fail, IoT devices continue to function. However, networking the production environment creates vulnerabilities that cannot be easily closed with edge computing.

Rittal celebrated its 60th anniversary on April 1.

Centralized data processing in a cloud is too inflexible or too slow and unreliable for some applications when it comes to time-critical operations. Decentralized edge computing can provide a remedy here and close the gaps.

Industrial image processing ranges from simple applications in environmental perception such as the positioning, measurement, identification and sorting of objects to more complex image processing-controlled automation functions.

Cloud and edge computing: where do we stand and what role do these components play in the digitalization concept? Steffen Roos, Managing Partner at Telekom subsidiary Detecon International, answers these questions in an interview with Andreas Mühlbauer.

Networked machines, automation and real-time process monitoring characterize the smart factory. Edge computing plays a central role at the interface between IoT and the cloud.
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