As Polygonica is as simple software libary with minimal dependencies, it can easily be deployed on cloud-based or on-premises systems, is easy to scale out, and can even be made available cost-effectively on sub-contractor's desktops.
The static clash detection algorithms within Polygonica have been heavily optimised for the very large scenes that occur when jobs are submitted from multiple contractors working in different disciplines.
Polygonica's leading automatic mesh healing be rapidly applied to individual parts and components, increasing the consistency of the underlying geometry data and making error detection faster and more reliable.
Mesh Booleans can easily split geometry to correctly simulate foundation laying in 4D and 5D time-based simulations, whilst silhouette-projection and slicing can be used to identify components such as windows and doors, in those all-to-often cases where project metadata is missing or wrong.
Tolerance-based decimation, simplification and remeshing help to reduce polygon count, particularly for those large models imported from MCAD systems with lots of curved surfaces and accurate manufacturing geometry that's unecessary for a construction visualisation. Feature-preserving shrinkwrap can be used to remove unecessary internal geometry to assist in creating lightweight LODs for machinery, equipment and even entire buildings and cityscapes.
Fast, robust anisotropic offsetting allows easy creation of zone geometry around complex structural elements, which can be clipped to other structures and objects using Polygonica's Boolean. This allows easy and accurate modelling of safe zones as well as ensuring layouts don't contravene proximity standards and regulations.
Merging CAD model data of buildings, roads and bridges with scan and LIDAR data of surrounding terrain or as-built scan data, for example, is straightforward with Polygonica's mesh Booleans. Booleans can also be used to measure material removal operations. For example periodic laser-scans of foundations can be decimated within a tolerance, healed, and then compared, giving accurate analysis of how much material has been removed between each scan.
Surface-fitting computes parametric surface primitives such as portions of planes, spheres, cylinders, cones and torii, even on noisy scan data.
