Data Modeling Convergence Without Losing Semantics
Mapping must preserve identifiers, units, and quality. OPC UA NodeIds and structured types can become Sparkplug metrics with properties. MTConnect data items align with UA nodes that maintain engineering context. Thoughtful normalization prevents confusing duplicates, keeps KPIs honest, and lets teams evolve their models as machines, processes, and stakeholders inevitably change.