Autonomous power line detection and tracking system using UAVs

被引：8
|
作者：
Schofield, Oscar Bowen [1 ]
Iversen, Nicolai [1 ]
Ebeid, Emad [1 ]
机构：
[1] Univ Southern Denmark, Maersk Mc Kinney Moller Inst, SDU UAS Ctr, Odense, Denmark
来源：
MICROPROCESSORS AND MICROSYSTEMS | 2022年 / 94卷
关键词：
Cloud services; Detection algorithms; Autonomous missions; Powerline inspection; Drone framework;
D O I：
10.1016/j.micpro.2022.104609
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A large portion of overhead power transmission infrastructure around the world is becoming aged, raising the demand for frequent grid inspections in an efficient, cost-effective manner in order to keep it functional. Drones are a promising solution for infrastructure inspection, however, they require further investigation and development to enable their autonomy for large scale inspection operations.This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure. The framework incorporates (1) a cloud service for geo-location data of nearby power pylons; (2) a localisation system for pylon navigation and cable grasping; and (3) a cable following algorithm for cable inspection using onboard sensors. The software functionality of the proposed framework has been validated in a simulation power line environment. Custom drones have been developed for validating the framework and algorithms within an unenergised power line environment.
引用
收藏
页数：14
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