Unlock instant, AI-driven research and patent intelligence for your innovation.

Power line identification method and device based on unmanned aerial vehicle laser radar detection data

A laser radar and detection data technology, applied in the computer field, can solve problems such as low efficiency and accuracy, matching of flight characteristics of drone platforms, and disclosure of recognition efficiency, so as to achieve the effect of improving efficiency and accuracy

Active Publication Date: 2022-05-31
北京华宜信科技有限公司
View PDF11 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing power line identification methods have low efficiency and accuracy, and do not match well with the flight characteristics of the UAV platform. Ground feature points such as vegetation, ground, buildings, etc., and then efficiently and accurately identify electric towers and power lines. At the same time, the existing identification methods still have certain problems in reducing the workload of line inspection staff and improving work efficiency.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power line identification method and device based on unmanned aerial vehicle laser radar detection data
  • Power line identification method and device based on unmanned aerial vehicle laser radar detection data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] This embodiment discloses a power line identification method based on unmanned aerial vehicle laser radar detection data, and the method includes:

[0047] Using the power grid environment point cloud data collected by the UAV equipped with lidar, the electric tower and power line are used as targets, and the low vegetation, ground, buildings, etc. are used as ground feature points to segment the point cloud data of the target and ground feature points. Identify power lines.

[0048] As an optional implementation, in this embodiment, the segmentation of the point cloud data of the target and ground feature points specifically includes:

[0049] Based on the optimal elevation threshold H T , construct point cloud feature selection rules, and use point cloud feature selection rules to realize the segmentation of ground feature points and targets;

[0050] As an optional implementation, in this embodiment, the optimal elevation threshold H T acquisition, which specifica...

Embodiment 2

[0068] This embodiment discloses a power line identification device based on unmanned aerial vehicle lidar detection data, and the device includes a power grid environment point cloud data acquisition module, a segmentation module and an identification module.

[0069] The power grid environment point cloud data collection module is used to collect the power grid environment point cloud data by using the laser radar carried by the drone, and send the collected power grid environment point cloud data to the segmentation module;

[0070] The segmentation module is used to use electric towers and power lines as targets, and low vegetation, ground, buildings, etc. as ground feature points to segment the point cloud data of the target and ground feature points, and send the segmentation results to the recognition module.

[0071] The identification module is used to identify the power line according to the segmentation result.

[0072] It can be seen that in this embodiment, the p...

Embodiment 3

[0074] This embodiment discloses another power line identification device based on unmanned aerial vehicle laser radar detection data, and the device includes:

[0075] a memory storing executable program code;

[0076] a processor coupled to the memory;

[0077] The processor invokes the executable program code stored in the memory to execute some or all of the steps in the power line identification method based on UAV lidar detection data disclosed in Embodiment 1 of the present invention.

[0078] It can be seen that in this embodiment, the power grid environment point cloud data collected by the UAV equipped with lidar is used, and the electric tower and power line are used as targets, and low vegetation, ground, buildings, etc. are used as ground feature points, and the points of the target and ground feature points are Cloud data is segmented to identify power lines. The inventive method can automatically identify power line point cloud data, and based on the automatic...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an unmanned aerial vehicle laser radar detection data-based power line identification method and device, and the method comprises the steps: employing the point cloud data of a power grid environment collected by a laser radar carried by an unmanned aerial vehicle, taking an electric tower and a power line as targets, and taking low vegetation, ground, building and the like as ground feature points; and segmenting the point cloud data of the target and the ground feature points, and identifying the power line. The method can be well matched with the flight features of an unmanned aerial vehicle platform, and can well utilize the collected power grid point cloud data to segment the ground feature points of low vegetation, ground, buildings and the like for the power grid environment point cloud data collected by the unmanned aerial vehicle carried laser radar, thereby achieving the efficient and accurate recognition of an electric tower and a power line, and improving the recognition accuracy of the electric tower and the power line. Therefore, the efficiency and accuracy of an existing power line identification method are improved, the workload of line patrol staff is effectively reduced, and the working efficiency of line patrol is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a power line identification method and device based on unmanned aerial vehicle lidar detection data. Background technique [0002] At present, the scale of my country's power grid continues to increase, and the complexity of lines increases rapidly, which poses a huge challenge to the reliability maintenance of my country's power grid. In order to ensure the safe and stable supply of electricity, regular inspections of transmission lines are required. If the traditional manual line inspection method is adopted, the inspection staff will have a heavy workload, high cost, difficult inspection, and is easily affected by the weather. Especially extreme weather such as snow disasters will cause complex road conditions and make inspection difficult. Therefore, it is necessary to improve the informatization, automation and intelligence of power grid inspection. [0003] In recent ye...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/88G01S7/48
CPCG01S17/88G01S7/4802Y04S10/50
Inventor 李志男赵桂芬张微陈晓
Owner 北京华宜信科技有限公司