Every real-world operating plant is characterized by cumulative evolution, both to its brownfield physical
condition and to the varied types and formats of theoretically corresponding engineering data. Accordingly,
as-operated digital twins must reliably synchronize reflections of both the physical reality and its virtual
engineering representations, comprehensively and accurately.
PlantSight mirrors the physical plant through
"continuous" surveys and reality modeling cloud services. Overlapping photographs and (as needed)
supplemental laser scans, from UAVs and ground-level imagery, are processed to generate spatially-classified
and engineering-ready reality meshes—the plant's digital context, within which can be geospatially located
each tagged component.
Information bridges from engineering models
To synchronize with the plant's evolving engineering data, Bentley and Siemens Comos teams worked together
to create PlantSight's Connected Data Environment (CDE). It includes information bridges from engineering
models and an integration hub to accomplish the required semantic alignment for digital components
(including their tag designations).
