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Power line dangerous point prediction method and device based on unmanned aerial vehicle laser radar detection

A technology of laser radar and prediction method, which is applied in measurement devices, radio wave measurement systems, and re-radiation of electromagnetic waves.

Active Publication Date: 2022-06-03
北京华宜信科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing power line detection methods directly use the collected data for detection and identification, and do not effectively segment the target and background according to the characteristics of the grid environment data and process the segmented target data, resulting in a large amount of data processing for the existing detection and prediction methods , thus reducing the prediction efficiency and accuracy

Method used

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  • Power line dangerous point prediction method and device based on unmanned aerial vehicle laser radar detection
  • Power line dangerous point prediction method and device based on unmanned aerial vehicle laser radar detection
  • Power line dangerous point prediction method and device based on unmanned aerial vehicle laser radar detection

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Experimental program
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Effect test

Embodiment 1

[0052] This embodiment discloses a power line danger point prediction method based on UAV lidar detection, the method includes:

[0053] The feature points are segmented for the power grid environment point cloud data collected by the UAV equipped with lidar, and the ground feature point data, power line point cloud data and obstacle candidate point data are obtained. The surface construction rule processes the obstacle candidate point data to obtain the surface position information of the obstacle candidate point. Using the distance between the power line position information and the surface position information of the obstacle candidate point, the prediction result of the power line danger point is obtained.

[0054] As an optional implementation manner, in the first embodiment of the present invention, the feature points are divided into the power grid environment point cloud data collected by the UAV mounted lidar to obtain the ground feature point data, power line point cl...

Embodiment 2

[0100] This embodiment discloses a power line danger point prediction device based on UAV lidar detection, including:

[0101] The feature point segmentation module is used to segment the feature points of the power grid environment point cloud data collected by the UAV equipped with lidar to obtain the ground feature point data, power line point cloud data and obstacle candidate point data; the location information building module is used for Fit the power line point cloud data to obtain the power line position information, and use the surface construction rules to process the obstacle candidate point data to obtain the surface position information of the obstacle candidate point; the prediction module uses the power line position information and the surface position of the obstacle candidate point. The distance between the position information, the prediction result of the dangerous point of the power line is obtained.

[0102] As an optional implementation manner, in the se...

Embodiment 3

[0147] This embodiment discloses another power line danger point prediction device based on UAV lidar detection, the device includes:

[0148] memory in which executable program code is stored;

[0149] a processor coupled to the memory;

[0150] The processor invokes the executable program code stored in the memory to execute part or all of the steps in the method for predicting a power line danger point based on UAV lidar detection disclosed in Embodiment 1 of the present invention.

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Abstract

The invention discloses a power line dangerous point prediction method and device based on unmanned aerial vehicle laser radar detection, and the method comprises the steps: carrying out the feature point segmentation of power grid environment point cloud data collected by a laser radar carried by an unmanned aerial vehicle, carrying out the fitting of the power line point cloud data, and obtaining the power line position information; and processing the obstacle candidate point data by using a surface construction rule to obtain surface position information of the obstacle candidate point, and obtaining a prediction result of the power line dangerous point by using the distance between the power line position information and the surface position information of the obstacle candidate point. The device comprises a feature point segmentation module, a position information construction module and a prediction module. According to the method and the device, on the basis of segmentation of ground feature points of an electric tower, a power line, low vegetation, ground, buildings and the like, curve fitting can be performed on the power line, and tall buildings and crown contours can be detected, so that quick and accurate prediction of dangerous points in the power line inspection process can be realized.

Description

technical field [0001] The invention relates to the technical field of power line detection, in particular to a method and device for predicting dangerous points of power lines based on UAV laser radar detection. Background technique [0002] At present, the scale of my country's power grid continues to increase, and the complexity of lines increases rapidly, which brings great challenges to the maintenance of the reliability of my country's power grid. In order to ensure the safe and stable supply of power, regular inspections of transmission lines are required. If the traditional manual line inspection method is adopted, the line inspection staff has a large workload, high cost, difficult inspection, and is easily affected by weather. Especially extreme weather such as snow disasters will cause complex road conditions, making inspection difficult. Therefore, it is necessary to improve the informatization, automation and intelligence of power grid inspection. [0003] In ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/48G01S17/06G01S17/08
CPCG01S17/06G01S17/08G01S7/4802Y04S10/50
Inventor 赵桂芬李志男陈晓张微
Owner 北京华宜信科技有限公司
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