3D Point-Cloud Assessment of Transmission Line Lightning Shielding
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Solution Overview
Problem
Traditional lightning shielding failure risk assessment methods for power transmission lines face challenges in handling complex terrains, multi-circuit towers, and dense corridors due to limitations in data accuracy and computational complexity, especially with two-dimensional slicing and geometric relationship determination.
Innovation Solution
A method utilizing three-dimensional laser point cloud data to reclassify and preprocess the data, plot three-dimensional shielding arc surfaces, and perform orthogonal projections to determine the areas of exposed arc surfaces, integrating electro-geometric models for accurate lightning shielding failure risk assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If two-dimensional slicing and parameter extraction from DEM data is used, then lightning shielding failure risk assessment can be conducted, but terrain parameter accuracy and representativeness deteriorate due to complex variable terrain and limited DEM data accuracy
Solution Approach 1:
The patent transitions from two-dimensional DEM slicing to three-dimensional laser point cloud data for terrain parameter extraction. This dimensional upgrade enables direct acquisition of ground slope, attachment point coordinates, and other terrain parameters with higher precision, overcoming the limitations of 2D representation in complex variable terrain scenarios.
2Productivity
If manual reference to line design drawings or on-site measurements is used to obtain ground slope and attachment point coordinates, then lightning shielding failure risk assessment can be conducted, but labor intensity increases and data accuracy deteriorates
Solution Approach 1:
The patent replaces manual mechanical operations (referencing drawings, on-site measurements) with automated three-dimensional laser scanning technology. The laser scanning system automatically captures point cloud data and extracts terrain parameters, eliminating labor-intensive manual processes while significantly improving data accuracy and efficiency.
3Measurement precision
If three-dimensional laser point cloud data is used for lightning shielding failure risk assessment, then terrain parameter accuracy and assessment precision are improved, but computational complexity increases
Solution Approach 1:
The patent extracts only the essential terrain parameters (ground slope, attachment point coordinates, etc.) needed for lightning shielding failure risk assessment from the comprehensive three-dimensional laser point cloud data. This selective extraction approach maintains high measurement precision while reducing computational complexity by focusing on critical parameters rather than processing all point cloud data.
4Device complexity
If traditional EGM with manual parameter extraction is used, then method simplicity is maintained, but assessment accuracy deteriorates due to insufficient terrain parameter accuracy
Solution Approach 1:
The patent changes the source and quality of input parameters from manual extraction (low accuracy) to three-dimensional laser point cloud-based extraction (high accuracy). By improving the precision of terrain parameters such as ground slope and attachment point coordinates, the overall assessment accuracy of the EGM method is enhanced while maintaining the fundamental assessment framework.
Data Source
AI summary
A lightning shielding failure risk assessment method for a power transmission line based on three-dimensional laser point cloud data includes reclassifying three-dimensional laser point cloud data of a power transmission corridor; acquiring lightning activity parameters for the power transmission corridor; determining wire, ground wire, and ground point cloud striking distances; plotting three-dimensional wire, ground wire, and ground shielding arc surfaces in the preprocessed three-dimensional laser point coordinate system; performing orthogonal projection of the plotted three-dimensional shielding arc surfaces to obtain two-dimensional exposed arc surfaces and determining the areas of the two-dimensional exposed arc surfaces; and looping to calculate the areas of the exposed arc surfaces at different lightning incidence angles and different lightning current amplitudes; and determining a line trip rate based on the lightning strike density, the lightning incidence angle probability distribution function, and the lightning current probability distribution function.