The AutomationML standard series IEC 62714 „Engineering data exchange format for use in industrial automation systems engineering” already contains many use cases and guidelines of how system engineering information is modelled as well as which meta information could enhance the data excahnge.
In order to specify these definitons with examples, to apply them to specific use cases, and to facilitate the first steps with AutomationML, specific issues for the modelling of data in AutomationML are illustrated in Best Practise Recommendations (BPR).
In addition, the BPR shall provide a consistent realization for specific use cases and shall, thus, complement the AutomationML standard documents.
BPRs are no subject of standardization but in case of a concretization of the IEC 62714 series the content could be included in it later on – within a maintenance cycle.
Technical systems are usually modular and/or hierarchically structured enabling the breakdown of the technical solution to individual solution components. This is valid for all technical systems independent of their nature or their character as product or production system.
During the life cycle of a technical system the individual components need to be identifiable as individual object and as object type. Therefore different identification capabilities are available.
One of the most recent identification methodologies of structured objects is codified within the IEC 81346- Industrial systems, installations and equipment and industrial products – Structuring principles and reference designations.
This best practice recommendation describes the integration of reference designations following IEC 81346-1:2009-07 within AutomationML based models of production systems.