Edge or central server? Choosing an integration location
Base placement on network dependencies, operational ownership and recovery needs rather than deployment trends.
Read the guideSolutions
Feed your model with actual shop-floor data.
Digital transformation and engineering teams
Map physical equipment identities to the digital model. Provide process values with time, units and quality so the model can distinguish valid readings from stale data.
The OPC UA Client reads sensor and equipment tags.
Values are converted to the format the model expects, with asset identifier, unit, time and quality fields.
They are delivered to the model or simulation environment over MQTT or REST; when the maximum data age is exceeded the value is flagged as stale.
Pilot acceptance criterion
Compare source measurements with model values for one asset; verify that the model marks stale data when the connection fails.
Connector availability, version compatibility and licence scope are verified for each project.
Base placement on network dependencies, operational ownership and recovery needs rather than deployment trends.
Read the guideThere is no single answer; it depends on which decision the model supports. Sampling frequency, acceptable data age and the model’s behaviour when the connection fails must be defined together.
It depends on data rate, outage tolerance and the competence of the operating team. The edge versus central guide walks through the decision.
Your next step
Share your source, destination and intended outcome. We’ll help define the project scope.