Abstract
Overhead high-voltage power lines are key components of power transmission and their monitoring has a very significant influence on security and reliability of power system. Advanced laser scanning techniques have been widely used to capture three-dimensional (3D) point clouds of power system scenes. Nevertheless, power line corridors are found in increasingly complex environments (e.g., mountains and forests), and the multi-loop structure on the same power line tower raises great challenges to process light detection and ranging (LiDAR) data. This paper addresses these challenges by constructing a new collection mode of LiDAR data for power lines using cable inspection robot (CIR). A novel method is proposed to extract and reconstruct power line using CIR LiDAR data, which has two advantages: (1) rapidly extracts power line point by position and orientation system (POS) extraction model; and (2) better solves pseudo-line during reconstruction of power line by structured partition. The proposed method mainly includes four steps: CIR LiDAR data generation, POS-based crude extraction, voxel-based accurate extraction and power line reconstruction. The feasibility and validity of the proposed method are verified by test site experiment and actual line experiment, demonstrating a fast and reliable solution to accurately reconstruct power line.
Highlights
High-voltage power lines are key components of the power transmission infrastructure to compensate for the long transmission distances and to reduce electricity transmission losses [1].Globally, high-voltage power lines will increase from 5.5 million km in 2014 to 6.8 million km in2020
cable inspection robot (CIR) light detection and ranging (LiDAR) System system integrated in CIR includes CIR self-positioning system and LiDAR system
To validate the proposed method, the self-developed CIR with LiDAR system has carried out many experiments in a test site about 50 m in length and 30 m in width
Summary
High-voltage power lines are key components of the power transmission infrastructure to compensate for the long transmission distances and to reduce electricity transmission losses [1].Globally, high-voltage power lines will increase from 5.5 million km in 2014 to 6.8 million km in2020. In China, high-voltage power lines will grow 0.44 million km, with a global growth of 48% [2]. Power lines exposed long-termly in these harsh conditions (e.g., large temperature difference, high humidity, and vegetation encroachment [4,5]) might aggravate mechanical tension and electrical flashover, even leading to large area blackout, causing heavy national economic losses [6,7]. This is urgent demand for monitoring power lines conveniently, rapidly and accurately to guarantee safe operation of transmission network [8]
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