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A combination of connectivity and edge computing solves the integration of machine data in IIOT applications in an efficient and scalable way.
Edge computing describes the decentralized processing of data, managed via a central platform. Edge computing is of great importance for the industrial Internet of Things. In many applications, the amount of data is so large that not all data can be transferred to a central (cloud) platform. Or an application requires short latency times that can only be achieved by processing the data close to the machine.
Container technology has developed into a de facto standard for managing software at the edge level. Docker containers are supported by all major cloud service providers and other industrial edge providers. In addition, other common IT tools such as Kubernetes or Portainer can be used to manage such an environment.
As part of an industrial edge, connectivity can be operated centrally and across locations.
Our connectivity products use container technology or standard services for edge computing. This integration of machine connectivity and edge computing in an industrial edge offers considerable advantages:
All in all, these advantages help the user to make his IIoT solution flexible and scalable and to reduce overall costs over the lifetime of the solution.
Cloud level, edge level and production asset level as defined by the OMP.
Softing supplies connectivity products that can be used at the edge level.
The Softing portfolio currently includes the following product families for the industrial edge:
Access to process and machine data in PLCs and CNC machines, basis for many typical IIoT applications (OEE, predictive maintenance, machine learning, etc.)
Access to device data (sensors, actuators) for asset management and asset monitoring applications
Server aggregation and additional security for OPC UA-based data integration
Access to process and machine data in PLCs and CNC machines, fully integrated into Siemens Industrial Edge
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