2012•Dianli xitong zidonghuaRequires access

On-line Monitoring Method of Icing Transmission Lines Based on 3D Reconstruction

Hao Yang

Open publisher page 5 citations

Abstract

As icing transmission lines are harmful to the security of the power system and effective monitoring of icing on transmission lines can prevent serious accidents,an icing transmission lines on-line monitoring method based on 3D reconstruction is proposed.With this method computer binocular vision technology is adopted,the procedure of which is as follows:process two images of an icing transmission line obtained by two cameras in different locations,calculate the depth of the icing transmission line in 3Dspace by the parallax of the two images,reconstruct the 3D model of the icing transmission lines,and then calculate the thickness and the distribution of the ice covering the transmission lines based on the platform of the 3Dmodel.Reconstruct the 3Dmodels of two groups of measured images by the method proposed and the comparative analysis results show that the method is not only highly accurate and reliable in calculating the thickness,but also can reflect the ice thickness distribution.

About this research paper

What this paper is about

As icing transmission lines are harmful to the security of the power system and effective monitoring of icing on transmission lines can prevent serious accidents,an icing transmission lines on-line monitoring method based on 3D reconstruction is proposed.With this method computer binocular vision technology is adopted,the procedure of which is as follows:process two images of an icing transmission line obtained by two cameras in different locations,calculate the depth of the icing transmission line in 3Dspace by the parallax of the two images,reconstruct the 3D model of the icing transmission lines,and then calculate the thickness and the distribution of the ice covering the transmission lines based on the platform of the 3Dmodel.Reconstruct the 3Dmodels of two groups of measured images by the method proposed and the comparative analysis results show that the method is not only highly accurate and reliable in calculating the thickness,but also can reflect the ice thickness distribution.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

As icing transmission lines are harmful to the security of the power system and effective monitoring of icing on transmission lines can prevent serious accidents,an icing transmission lines on-line monitoring method based on 3D reconstruction is proposed.With this method computer binocular vision technology is adopted,the procedure of which is as follows:process two images of an icing transmission line obtained by two cameras in different locations,calculate the depth of the icing transmission line in 3Dspace by the parallax of the two images,reconstruct the 3D model of the icing transmission lines,and then calculate the thickness and the distribution of the ice covering the transmission lines based on the platform of the 3Dmodel.Reconstruct the 3Dmodels of two groups of measured images by the method proposed and the comparative analysis results show that the method is not only highly accurate and reliable in calculating the thickness,but also can reflect the ice thickness distribution.

Key concepts: Icing, Electric power transmission, Transmission line, Line (geometry), Transmission (telecommunications), Parallax, Computer science, Process (computing)

Related papers

Back to paper searchBrowse research topicsOriginal source
On-line Monitoring Method of Icing Transmission Lines Based on 3D Reconstruction — Research Paper | ScholarLens