Parameters Optimization of UAV for Insulator Inspection on Power Transmission Line

Abstract

In recent years, Unmanned Aerial Vehicle (UAV) technology has been widely used in power transmission line inspection. UAV operating parameters determine the quality of the acquired insulator image, which directly affects the efficiency of transmission line inspection. Regarding the inspection of ceramic insulators, this work establishes a three-dimensional (3D) model of ceramic insulators, and simulates the changes in shooting distance, angle, and height of the UAV through three geometric transformations: rotation, translation, and scaling. The influence of those three UAV operating parameters (the shooting distance, angle, and height) on the integrity of the ce-ramic insulator steel cap is studied. In the infrared zero value detection of 110kV ceramic insulators, It is found that the best setting for obtaining the maximum steel cap area is: shooting distance of 3 -7 meters, shooting height of 1 meter below the center of the insulator string, and a shooting depression angle of 0°. The UAV operating parameters setting method proposed in this paper will provide theoretical and practical basis for the in-depth intelligent inspection of transmission line insulators.INDEX TERMS UAV operating parameters, insulator, zero value defect, infrared detection.

Method for inspection of atmospheric discharge protection systems: Grain storage plants

“…Several studies have been developed on the use of RPAS in transmission line inspections, with a focus on the development and application of techniques for optimal route identification and autonomous insulator inspection, which provides greater agility to the process (Ma et al, 2021;Ahmed et al, 2022;Yin et al, 2022); b) Civil construction -there are several reports, among them the application of deep learning methods associated with image capture techniques in the automation of defect evaluation due to moisture in structures, models for detecting and evaluating cracks in tanks, an inspection of pathological manifestations, and cracks in facades with ceramic cladding and investigation procedures for traditional wood structures (Jeong et al, 2020;Liu et al, 2020;Martinez et al, 2020;Wu et al, 2020); c) Agriculture and other areas -in the agricultural sector, the use of RPAS has been gaining space in the performance of several activities, such as geomapping, pest control, and soil analysis, among other applications, mainly due to its operating characteristics, which allow the development of non-destructive analysis of the terrain in a shorter time. Tan et al (2022) addressed in their research the combination of UAV (Unmanned Aerial Vehicle) technologies and machine learning algorithms to explore efficient ways to detect the three main growth stages of rice seedlings.…”

Research on defect recognition method of transmission line insulators

“…In addition, the method of artificial inspection also has the shortcomings of long time, high labor costs, high work risk and low efficiency 2 . With the rapid progress of computer vision technology and UAV technology, in recent years it has become one of the mainstream development trends to replace manual inspection with UAV aerial images and intelligent identification and positioning algorithms 3 . Nowadays, most of autonomous inspection methods of drone utilize GPS to locate the drone's shooting position and guide it to take pictures according to the pre-set poses.…”