XGIP™ architecture — The XGIP™ platform is the client-server platform with special organization of backend which is designed as a scalable instrument for handling high volume of spatial, infrastructural and engineering data without limitations on size and original formats.
The XGIP™ platform facilitates seamless integration in the unified informational space of numerous data streams making business operations at any industrial or infrastructural facilities effective and consistent.
The XGIP™ internal unifying format (eXtended Spatial Format — xsf extension) is a tag-based format designed for smooth incorporation of any type of spatial data. It unites a spectrum of spatial data formats — engineering (Autodesk *.dxf, *.dwg or Bentley *.dng, etc.), LiDAR (*.las, *.pts, *.e57, etc.), GIS (*.shp, *.dem, etc.), BIM format (*.ifc), as well as many others — over 50 formats in total, with no constraint on further extension.
XGIP™ supports reverse export from *.xsf back to the original format from which the data was converted.
XGIP™'s visualization engine offers best-in-class 2D-3D-4D rendering of spatial data with powerful interactive capabilities, including interactive labeling, cross-referencing, measuring, and cutting — without limitation on combining engineering, LiDAR, GIS and other spatial data types regardless of size or origin. The unique projection/coordinate system database supports simultaneous rendering of scenes that may combine data across countries, continents, or the whole world.
The spatial data processing and visualization technology proposed by SightPower implements the LOD (Level of Detail) principle for data storage, indexing, and rendering — using different levels of scene generalization depending on the distance between the object and the camera position.
Thus, the amount of data displayed can be reduced by hundreds or even thousands of times, making it possible to “smoothly” move through and analyze data-intensive scenes. LOD implementation in XGIP™ is specifically adapted for various applications and data types, from instant generalization to advanced preparation of special structures for fast, efficient scene visualization. The integrated use of this approach — enhanced by extended capabilities to analyze data across different areas of expertise — magnifies the scene hundreds of times without losing clarity or detail.