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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 involves 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 it isn't feasible to transfer all of it to a central cloud platform. Alternatively, some applications demand short latency times, which can only be achieved by processing data close to the machine, or "at the edge."
To effectively manage these edge environments, container technology has become the standard approach in the industry. Docker containers are supported by all major cloud service providers and various industrial edge providers. Additionally, common IT tools like Kubernetes and Portainer are used to manage these environments effectively.
As part of an industrial edge, connectivity can be operated centrally and across locations.
Connectivity products from Softing use container technology or standard services for edge computing. This integration of machine connectivity and edge computing in an industrial edge offers considerable advantages:
These advantages enable users to make their IIoT solutions flexible and scalable, reducing overall costs throughout the solution's lifetime.
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.
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