TerraScan Detect Wires

Detect Wires tool is used to vectorize wires and classify points on wires of a powerline. It draws line string elements in the design file for all detected wires. The tool runs on points loaded into TerraScan.

The tool searches points along a catenary curve. Catenary curves are mathematical descriptions of wires that are connected at their end points but hanging free between these end points. The process involves least squares fitting for both, the xy line equation and the elevation curve equation of the catenary.

The most important parameter controlling wire detection is Max gap which defines the maximum gap between consecutive laser points on a wire. It is not advisable to run the detection on the whole data set with a large maximum gap value because the chance of false detection increases. It is recommended to run the detection first with a relatively small maximum gap value which does not necessarily detect all wires. For locations with fewer points on the wires, the detection should be done for single segments with a smaller value.

The Detect Wires tool requires a tower string element that is has been created, for example, with the Place Tower String tool. The line string elements for detected wires are drawn on the active level using the active symbology settings of MicroStation.

To detect wires:

  1. Activate a tower string element using the Activate Powerline tool.
  2. Select the Detect Wires tool.
    1. This opens the Detect Wires dialog:
Detect Wires Dialog
Detect Wires Dialog
  1. Define settings and click OK.
    1. If Process is set to All segments, the application starts to detect wires.
    2. If Process is set to Single segment, move the mouse pointer inside the top view. The segment closest to the mouse pointer is highlighted.
      1. Select the segment to process with a data click.
      2. This starts the detection of wires for the selected segment.
  2. A progress window shows the progress of the process. Depending on the data set, the process may take some time, especially if there is vegetation close to the wires.
From classPoint class from which wires are detected.
To classTarget class into which points on wires are classified.
ProcessDetermines where wires are detected:
•     All segments – for all segments for which data is loaded in TerraScan.
•     Single segment – only for the selected tower-to-tower segment.
Max offsetMaximum distance from the tower string element to the left/ right side to detect wires. Defines the corridor in which the software searches for wires.
Max gapMaximum allowed gap between consecutive points on a wire.
Linear toleranceTolerance for xy line fitting and classification of points on a wire.
Elevation toleranceTolerance for elevation curve fitting and classification of points on a wire.
RequireMinimum amount of laser points on a single wire required for detection. Values can range from 3 to 999.
Ignore pointsDistance from tower within which points are ignored for wire detection. Points close to the tower can be from tower structures and should be ignored when determining the mathematical shape of the wire.
MinimumMinimum catenary constant to accept a wire.
MaximumMaximum catenary constant to accept a wire.

Note: The vectorization of the wires can be undone by using the Undo command from the MicroStation Edit pulldown menu. The classification of the wires can be undone by using the Undo command of TerraScan.

Some suggestions concerning parameters:

  • Set Max offset: to half of the corridor width.
  • Set Max gap: to the longest gap between points on a Potential Wire.
  • Set Require hits: to support the point density.
  • Set Ignore points from tower: to the distance from the tower where you want it to stop using points for determining the catenary.
  • When unsure about the min/max catenary constant use the Place Catenary String tool to determine the relevant range of values for the wires you wish to detect.
  • The tool only works for spans where the midpoint of the catenary is below both end points.

GeoCue Group Support has written 873 articles

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