Method, device and realization device for predicting hidden trouble of tree barrier of transmission line

Abstract

The embodiment of the invention provides a tree barrier hidden trouble prediction method, a device and an implementation device of a transmission line. The method comprises the following steps: acquiring 3D point cloud data under a target environment; identifying the current distance between trees and transmission lines from 3D point cloud data; according to the tree growth model established beforehand, the growth law of trees is predicted. The tree growth model is established according to the corresponding relationship between tree height and current data of trees. The current data of trees include at least the current height, tree species, tree age, tree position, tree density, meteorological data and topographic information; according to the current distance and the growth rule of trees, the hidden trouble of tree barrier is predicted. The invention improves the prediction efficiency and the prediction ability of the hidden trouble of the transmission line tree barrier.

Description

technical field [0001] The invention relates to the technical field of power line inspection, in particular to a method, device and implementation device for tree block hidden danger prediction of power transmission lines. Background technique [0002] If the distance between trees and power lines is too close, it will pose a serious threat to the safe operation of transmission lines. Usually, hidden dangers of trees in transmission line passages are found and cleared by manual inspection, and range finders and other instruments are used to assist in judging whether the distance between trees and power lines exceeds the safe distance. However, this method is inefficient and can only determine whether trees are hidden dangers under current conditions, and cannot predict whether trees will pose a threat to the line over time. [0003] With the application of lidar technology, hidden dangers of trees can be quickly located based on high-precision 3D point cloud data. Based on t...

AI Technical Summary

Problems solved by technology

[0002] If the distance between trees and power lines is too close, it will pose a serious threat to the safe operation of transmission lines. Usually, hidden dangers of trees in transmission line passages are found and cleared by manual inspection, and range finders and other instruments are used to assist in judging whether the distance between trees and power lines exceeds the safe distance. However, this method is inefficient and can only judge whether there are hidden dangers in the trees under the current situation, and cannot predict whether the trees will pose a threat to the line over time

[0003] With the application of lidar technology, hidden dangers of trees can be quickly located based on high-precision 3D point cloud data. Based on tree growth models, it is possible to further predict when and where hidden dangers of trees may occur, and clean up trees before they exceed a safe distance, greatly improving hidden dangers. Predictive ability, but the existing method uses a simple linear growth model to predict tree growth, without considering the growth laws of different tree species and the influence of climate, terrain and other factors on tree growth, the accuracy of tree barrier prediction is poor

Images