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This workflow has been used in many utility companies to upgrade their vegetation management solution.
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This tutorial provides an intuitive and time-efficient workflow to process the point cloud dataset, collected using GVI s LiAir UAV LiDAR System, with GVI s LiPowerline software to build 3D models for utility infrastructures, identify vegetation encroachments, simulate wire conditions under certain weather scenarios, predict tree fall hazards, and model vegetation growth pattern to predict potential hazards. GreenValley International (GVI) provides a total solution of acquiring point cloud dataset of power line corridor using aerial and ground LiDAR systems, and processing point cloud dataset using software designed for the utility industryto inform decision-making in power line corridor management. Recently, LiDAR technology has been utilized to improve the efficiency and effectiveness of power line corridor management.
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Traditional ground-based inspection methods, such as calculating the distance between the sag of the transmission wires and underlying vegetation using height measuring rods and theodolites, are labor-intensive, timeconsuming, risky for field staff, and innacurate. 3 Classifying shield wires and vegetation.14 Vectorizing power infrastructures.16 Exercise 2: Vegetation encroachment detection.21 Detecting danger points.21 Generating reports.24 Exercise 3: Weather condition simulation.25 Exercise 4: Tree fall hazard prediction.27 Exercise 5: Vegetation growth prediction.28 More resources.29ΔΆ Introduction Routine inspection of power line corridor is critical for securing uninterrupted distribution of electricity. 3 Classifying power lines and towers using Machine Learning. 2 Exercise 1: Power line corridor modeling. 1 Tutorial: Using LiDAR Data for Power Line Corridor Management Contents Introduction.