This invention relates to the field of
power transmission line operation and maintenance technology, and discloses a method for predicting the clearance range of
transmission line corridors by integrating
tree species knowledge graphs. The method includes the following steps: collecting
point cloud data and multi-
source data from
meteorology,
vegetation mechanisms, and electrical environment; performing time-series alignment, completion, and
distortion removal preprocessing; constructing a
tree species knowledge graph and a tree proxy model, outputting growth and risk prediction parameters; accurately extracting tree obstacle point clouds and matching
tree species through an attention mechanism; calculating corrected safety distances and establishing a multi-dimensional
hazard classification
system; combining meteorological data to correct growth parameters, predicting future risks, dynamically delineating the clearance range, adjusting inspection cycles, and visualizing the results. This invention significantly improves prediction accuracy, overcomes the shortcomings of traditional inspections, saves annual operation and maintenance costs, reduces
tripping losses, achieves precise control and
mode transformation, considers multiple benefits, has strong adaptability, and broad prospects for promotion.