Electric Corridor

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Lidar for Utility

Our unique system design positions two scanners to ‘paint’ both front and rear faces of the structures, while acquiring data of the cross-arms and hardware in an ‘X’ pattern.

Maximizing data points on each structure, as well as point density, allows for exceptional analytical accuracy.

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Classification

Data point clouds can be classified into feature types, such as conductors, poles, vegetation, and ground. Classification initiates the foundation for exploring relationships between objects and highlighting areas of concern, such as vegetation in proximity to conductors, or investigating the angle of individual poles relative to the ground. Feature types can also be isolated and analyzed individually.

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Span Clearance

Span clearance analysis can be performed to determine the clearance for conductors at the lowest sag point along a span. Targeted analyses such as this are done with streamlined models of the distribution network - created by importing lidar data in PLS-CADD, the industry standard for powerline modeling. 

Analyses like span clearance can be run for an entire data set or focussed on areas of interest, such as spans that extend beyond a designated length.

Refined Model

3D model of structures, derived from lidar data, can be exported as a .kml file for viewing, planning, and continued analysis. This streamlined, yet highly accurate, version offers a unique opportunity for an efficient macro-level analysis of the network.

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Geolocation

Structure identification in lidar allows us to correct existing data if provided with inaccurate or incomplete geographic data. The corrected location of an asset, which we extrapolate from lidar, falls within 1 meter of the asset’s true ground location.