Data Processing

 

Features

  • Intelfuse uses its software and backend processor to process your data.  The data is provided to you as a service, along with a free portal and 3D viewer to access the data.
  • Proprietary software automates LiDAR point classification through smart algorithms which automatically classifies ground, poles/towers, conductors, vegetation, and manmade objects.
  • Feature extraction algorithms create a 3D model of the utility assets and vegetation at a tree level.
  • Machine learning improves the classification and extraction of features though continually refining the computer methodology as new data and regions are imported and processed.
  • Utility spatial information including asset numbers and conductor details are merged with the 3D model - this allows for precise engineered measurements and calculations.
  • Data QC is streamlined using the datafuse3D editing tools.
  • Typical outputs are fully integrated classified LAS files, shapefiles and an asset geodatabase of individual vegetation identification, clearance measurements to other assets specific to utility codes and clearances. 
  • The outputs are inclusive of modelled scenarios including conductor types and various temperature conditions.

 

Benefits

  • Vegetation attributes automatically assigned to each individual item of vegetation.
  • Our software is designed to reduce the return time for traditional feature extraction and carry out the engineering activity that is traditionally performed outside the process by 3rd party software.

  • Big Data requirements have been built into the processing capability to cater for the smallest to largest project including multi-year programs.
  • Allows movement from manual data extraction with multiple hand offs to an automated analytics solution.

 

Markets Served: Power Distribution, Power Transmission, Rail, Roads, Councils, Sensor Collection Vendors.

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