Reality Model Classification
Reality Models have been used primarily to provide context for their engineering counterparts. Advancements in the production of Reality Models have greatly improved the fidelity of these models, but their value has been somewhat limited by treating these models as monoliths. With the Acute3D ContextCapture tools, it is possible to create a reality mesh that very accurately represents an entire city, plant or other large infrastructure project. However, cities are made up of many parcels and plants consist of many components. The reality model may capture each of the parcels or components accurately, but without some method to distinguish the parcel or components from the rest of the reality model or tie them to their underlying engineering or GIS data, the value of the model is limited.
MicroStation introduces the concept of using engineering or GIS objects to spatially classify a reality model into a discrete set of volumes that represent those objects.
By using the building footprints to spatially classify the reality model, you can access the reality model as discrete buildings with GIS data, rather than a monolithic and unintelligent mesh.
The link between the GIS data and the classified reality model is bidirectional. It is possible to access the underlying data by selecting the classified reality mesh or to access the reality mesh classifications by selecting the GIS data.
Reality Mesh Support
The MicroStation CONNECT Edition referred "Reality Meshes" as "Acute3D Meshes" and the tools for manipulating reality meshes were primarily accessible through key-ins. In MicroStation CONNECT Edition Update 2, a complete user interface is provided for attaching and manipulating reality meshes. Additionally, support for spatially classifying reality meshes has been added to allow reality meshes to be classified by and associated to design or GIS data.