Abstract

Transmission towers are easily affected by various meteorological and geological disasters. In this paper, a transmission tower tilt state assessment approach—based on high precision and dense point cloud from UAV LiDAR—was proposed. First, the transmission tower point cloud was rapidly located and extracted from the 3D point cloud obtained by UAV-LiDAR line patrol. A robust histogram local extremum extraction method with additional constraints was proposed to achieve adaptive segmentation of the tower head and tower body point cloud. Second, an accurate and efficient extraction and simplification strategy of the contour of the feature plane point cloud was proposed. The central axis of the tower was constrained by the contour of the feature plane through the four-prism structure to calculate the tilt angle of the tower and evaluate the state of the tower. Finally, the point cloud of tower head from UAV-based LiDAR was accurately matched with the designed tower head model from database, and a tower head state evaluation model based on matching offset parameters was proposed to evaluate tower head tilt state. The experimental results of simulation and measured data showed that the calculation accuracy of the tilt parameters of transmission tower body was better than 0.5 degrees, that the proposed method can effectively evaluate the risk of tower head with complex structure, and improve the rapid and mass intelligent perception level of the risk state of the transmission line tower, which has a wide prospects for application.

Highlights

  • IntroductionPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

  • Different calculation methods are adopted for different parts of the tower head and tower body to calculate parameters, so as to achieve a more comprehensive and accurate state assessment of transmission towers

  • In the process of tower body fitting and tower head matching, it was that the body and the deformation of the tower head in view of the characteristics found of tilt deformiscellaneous points around transmission tower, such as power cloud and mation in different parts of the the tower, which made the detection more line clearpoint and accurate

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The demand for energy is increasing, with the rapid development of economies. As a kind of basic energy, electric power resources play an extremely important role. In order to alleviate the problem of insufficient electricity power, China’s national electric power system is developing at a higher speed. In terms of infrastructure construction, such as wire networks, long-distance power supply construction of high-voltage and ultra-highvoltage transmission lines in depopulated areas is the top priority, and higher requirements are put forward for the safe operation of the power system in depopulated areas [1,2,3]

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