LiPowerline offers a complete and intuitive solution for power line inspection from LiDAR point clouds. It includes a powerful toolset for automatically classifying power lines, towers and vegetations, manually augmenting the classification results, and effectively detecting a range of user-defined danger points (e.g., vegetation overgrowth and tree fall). It’s built-in reporting function allows users to quickly generate detailed project reports and export inspection results to KML file format.
Individual tree segmentations allows users to identify the location (treeID), height, crown area, crown diameter of overgrown trees. Above, is a visual comparison between a section of the corridor displayed by elevation and by the individual tree segmentation result, respectively.
Trees along the power line corridor may be visualized and represented according to specific attributes. The center of each circle represents an individual tree. The radius of the circle represents the crown size of that tree and the color represents the tree height according to the color ramp.
Real Time Working Condition Analysis
Identify the position of danger points such as vegetation overgrowth and analyze the spatial attributes for each potential danger point.
Simulate & Predict Environmental Variabilities
Vectorize the real-world working conditions & simulate the potential working conditions under the influence of different environmental scenarios (e.g., tree fall, future growth, strong wind, ice coverage & high temperatures).