uSMART Mass Data Module

MDM

Billions of points from e.g. scanners (LIDAR and/or High Definition) can be imported, stored, displayed and manipulated. Triangulate the points to do sections, contouring and create 3D images and orthophotos.

High Definition (HDS)
LIDAR (Aerial)
3D Mobile

Statistics for a High Definition Scanning (HDS) data set:
These points were imported from PTS files created by Close Range (High Density) scans of a boiler at a coal power station in South Africa. The data was then automatically cleaned - removing outliers, thinning by colour and thinning by average distance.

Importing Points
Number of points	10.314 billion points (10,314,160,943)
Time taken to import points into MD files	65:08:56 (44 thousand pps - because this source data is unsorted ASCII, the import time is increased)
Time taken to resample the points	41:23:09
Size of MD file with overviews	802.763 GB
Typical applications: Create a virtual plant where users can navigate through the data from their PC. Metadata can be added to individual components. For example a unique code identifying each individual component can be added as metadata to each point. This code can then be linked to a database to do queries e.g. service history, etc. Accurate measurements can be taken between any two points that have been scanned. Clash detection is possible when adding new or replacing components. External applications can display and highlight components via the unique code e.g. when the system is in an alarm state.

Statistics for a LIDAR data set:
These points were created using LIDAR and imported from LAS files. SLines(TIN) were then created using the points after which 1011 Orthophotos were created.

Importing Points
Number of points	2,316,869,089
Time taken to import points into an MD file	02:46:53 (229 thousand pps)
Time taken to resample the points	02:43:46
Size of MD file with overviews	165.326 GB
Typical applications: TIN creation, Thematic displays (e.g. according to height and intensity), Section creation, Manipulating (e.g. deleting, moving and copying), Accurate measurements, Drawing (e.g. by point snapping). Points can be edited using the Advanced Editing routine (e.g. smoothing, thinning, outlier removal, ground determination, etc.).


Creating the TIN from the 2.3 Billion Points
Number of SLines created	8,679,391,907
Time taken to create MD file	48:47:58
Time taken to resample the points	23:56:387
Size of MD file with overviews	605.867 GB
Typical applications: Orthophoto creation, Contour creation, Thematic displays (e.g. according to height and height differences), Calculation and display of hidden areas etc, Dynamic surface tracking.

Statistics for a 3D Mobile Scanning data set:
These points were created using a Mobile Scanner and imported from LAS files.

Importing Points
Number of points	1.05 billion points (1,050,261,039)
Time taken to import points into MD files	01:53:06 (154 thousand pps)
Time taken to resample the points	01:08:13
Size of MD file with overviews	58.689 GB
Typical applications: 3D Mobile scanning is ideal for use in transportation infrastructure projects. It is a fast method to do high accuracy, detailed 3D mapping of urban environments and transportation corridors (e.g. highways and railways).