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Research on 3D Reconstruction of Transmission Linesnd Identification of Hidden Dangers of Tree Barriers Based on Airborne Lidar Point Cloud

  • Chuanxun Yang
  • Yong Li
  • Xia Zhou
  • Ji YangEmail author
  • Chen Zhang
  • Hongkai Liu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 980)

Abstract

The inspection procedure of Chinese high voltage power grid is mainly based on human inspection for many years. This is not only time-consuming and difficult, but the inspection results are also not objective and complete. Aiming at these problems, this paper gives a research method based on UAV-borne laser scanning. By taking the orthophotos of the power line corridor area and using the overlapping feature points of the image, the orientation elements of each photo are inversely calculated. According to the principle of aerial triangulation, the pixel matching algorithm is used to calculate the dense point cloud data of the survey area, and the power line point in the point cloud is selected to simulate the complete power line. By calculating the Euclidean distance between the power line and the power line protection area, the calculated result is compared with the power line safety specification to obtain information such as a tree barrier point or an early warning point. It can effectively identify many important defects such as wire-vegetation, wire-building, wire-crossing, etc., and greatly improve the quality and efficiency of the inspection process of existing high-voltage transmission lines.

Keywords

Unmanned aerial vehicle Artificial intelligence Laser point cloud Three-dimensional reconstruction Tree barriers defects 

Notes

Acknowledgements

Implementation of innovation driven development capacity building special funds of Guangdong.

Academy of Sciences (2017GDASCX-0101, 2017GDASCX-0601).

Guangdong Innovative and Entrepreneurial Research Team Program (2016ZT06D336).

Guangzhou Science and Technology Program (201604016047, 201806010106).

Guangdong Science and Technology Program (2017B010117008).

Guangzhou Hydraulic Technological Innovation Project (MZSK-2016-01, SW-2018-01).

The National Natural Science Foundation of China (41401430).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Chuanxun Yang
    • 1
  • Yong Li
    • 1
  • Xia Zhou
    • 1
  • Ji Yang
    • 1
    Email author
  • Chen Zhang
    • 1
  • Hongkai Liu
    • 1
  1. 1.Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information SystemGuangzhou Institute of GeographyGuangzhouChina

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