Share Email Print

### Journal of Electronic Imaging • Open Access

Automatic identification and location technology of glass insulator self-shattering
Author(s): Xinbo Huang; Huiying Zhang; Ye Zhang

Paper Abstract

The insulator of transmission lines is one of the most important infrastructures, which is vital to ensure the safe operation of transmission lines under complex and harsh operating conditions. The glass insulator often self-shatters but the available identification methods are inefficient and unreliable. Then, an automatic identification and localization technology of self-shattered glass insulators is proposed, which consists of the cameras installed on the tower video monitoring devices or the unmanned aerial vehicles, the 4G/OPGW network, and the monitoring center, where the identification and localization algorithm is embedded into the expert software. First, the images of insulators are captured by cameras, which are processed to identify the region of insulator string by the presented identification algorithm of insulator string. Second, according to the characteristics of the insulator string image, a mathematical model of the insulator string is established to estimate the direction and the length of the sliding blocks. Third, local binary pattern histograms of the template and the sliding block are extracted, by which the self-shattered insulator can be recognized and located. Finally, a series of experiments is fulfilled to verify the effectiveness of the algorithm. For single insulator images, $A c$ , $P r$ , and $R c$ of the algorithm are 94.5%, 92.38%, and 96.78%, respectively. For double insulator images, $A c$ , $P r$ , and $R c$ are 90.00%, 86.36%, and 93.23%, respectively.

Paper Details

Date Published: 14 November 2017
PDF: 12 pages
J. Electron. Imag. 26(6) 063014 doi: 10.1117/1.JEI.26.6.063014
Published in: Journal of Electronic Imaging Volume 26, Issue 6
Show Author Affiliations
Xinbo Huang, Xi'an Polytechnic Univ. (China)
Huiying Zhang, Xi’an Polytechnic Univ. (China)
Ye Zhang, Xi’an Polytechnic Univ. (China)