Development of a helicopter-mounted eye-safe laser radar system for distance measurement between power transmission lines and nearby trees

Ashidate, Shuichi; Murashima, S.; Fujii, Noritsuna

doi:10.1109/61.997953

Cited by 34 publications

(5 citation statements)

References 1 publication

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“…In [10], a LIDAR was carried by helicopter to measure the distance between the overhead lines and nearby trees for a safety inspection. The LIDAR operated at a wavelength of 1.572 µm.…”

Section: Aerialmentioning

confidence: 99%

A survey of sag monitoring methods for power grid transmission lines

Chen

Xiao-lin

2023

IET Generation Trans & Dist

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The transmission line is a fundamental asset in the power grid. The sag condition of the transmission line between two support towers requires accurate real-time monitoring in order to avoid any health and safety hazards or power failure. In this paper, state-of-theart methods on transmission line sag monitoring are thoroughly reviewed and compared. Both the direct methods that use the direct video or image of the transmission line and the indirect methods that use the relationships between sag and line parameters are investigated. Sag prediction methods and relevant industry standards are also examined. Based on these investigation and examination, future research challenges are outlined and useful recommendations on the choices of sag monitoring methods in different applications are made.

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“…In [10], a LIDAR was carried by helicopter to measure the distance between the overhead lines and nearby trees for a safety inspection. The LIDAR operated at a wavelength of 1.572 µm.…”

Section: Aerialmentioning

confidence: 99%

A survey of sag monitoring methods for power grid transmission lines

Chen

Xiao-lin

2023

IET Generation Trans & Dist

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“…The use of LiDAR sensors to provide a 3D model of the power lines is useful, both to evaluate their mechanical conditions and to detect and monitor some possible dangers, like encroaching objects [9,13,17,50]. This modeling can provide a multifaceted analysis of power line maintenance and risk evaluation, saving time and costs [51].…”

Section: Related Workmentioning

confidence: 99%

LiDAR-Based Real-Time Detection and Modeling of Power Lines for Unmanned Aerial Vehicles

Azevedo

Dias

Almeida

et al. 2019

Sensors

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The effective monitoring and maintenance of power lines are becoming increasingly important due to a global growing dependence on electricity. The costs and risks associated with the traditional foot patrol and helicopter-based inspections can be reduced by using UAVs with the appropriate sensors. However, this implies developing algorithms to make the power line inspection process reliable and autonomous. In order to overcome the limitations of visual methods in the presence of poor light and noisy backgrounds, we propose to address the problem of power line detection and modeling based on LiDAR. The PL 2 DM, Power Line LiDAR-based Detection and Modeling, is a novel approach to detect power lines. Its basis is a scan-by-scan adaptive neighbor minimalist comparison for all the points in a point cloud. The power line final model is obtained by matching and grouping several line segments, using their collinearity properties. Horizontally, the power lines are modeled as a straight line, and vertically as a catenary curve. Using a real dataset, the algorithm showed promising results both in terms of outputs and processing time, adding real-time object-based perception capabilities for other layers of processing.

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“…Recent developments in hardware and data processing techniques have advanced remote sensing technology. There are various modern remote sensing methods (optical sensors [11,12], synthetic aperture radars (SAR) [13], thermal imaging [14], mobile laser scanning (MLS) [15], and light detection and ranging (LiDAR) [1,7,16] as well as several other monitoring devices (such as satellite, airborne, and unmanned aerial vehicles (UAVs) [17]. Each of these techniques has its own advantages and disadvantages in terms of PLC mapping.…”

Section: Introductionmentioning

confidence: 99%

Power Line Extraction and Reconstruction Methods from Laser Scanning Data: A Literature Review

2023

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Electricity has become an indispensable source of energy, and power lines play a crucial role in the functioning of modern societies. It is essential to inspect power lines promptly and precisely in order to ensure the safe and secure delivery of electricity. In steep and mountainous terrain, traditional surveying methods cannot inspect power lines precisely due to their nature. Remote sensing platforms, such as satellite and aerial images, thermal images, and light detection and ranging (LiDAR) points, were utilised for the detection and inspection of power lines. Nevertheless, with the advancements of remote sensing technologies, in recent years, LiDAR surveying has been favoured for power line corridor (PLC) inspection due to active and weather-independent nature of laser scanning. Laser ranging data and the precise location of the LiDAR can be used to generate a three-dimensional (3D) image of the PLC. The resulting 3D point cloud enables accurate extraction of power lines and measurement of their distances from the forest below. In the literature, there have been many proposals for power line extraction and reconstruction for PLC modelling. This article examines the pros and cons of each domain method, providing researchers involved in three-dimensional modelling of power lines using innovative LiDAR scanning systems with useful guidelines. To achieve these objectives, research papers were analysed, focusing primarily on geoscience-related journals and conferences for the extraction and reconstruction of power lines. There has been a growing interest in examining the extraction and reconstruction of power line spans with single and multi-conductor configurations using different image and point-based techniques. Our study provides a comprehensive overview of the methodologies offered by various approaches using laser scanning data from the perspective of power line extraction applications, as well as to discuss the benefits and drawbacks of each approach. The comparison revealed that, despite the tremendous potential of aerial and mobile laser scanning systems, human intervention and post-processing actions are still required to achieve the desired results. In addition, the majority of the methods have been evaluated on the small datasets, and very few methods have been focused on multi-conductor extraction and reconstruction for power lines modelling. These barriers hinder the automated extraction and reconstruction of power line using LiDAR data and point to unexplored areas for further research and serve as useful guidelines for future research directions. Several promising directions for future LiDAR experiments using deep learning methods are outlined in the hope that they will pave the way for applications of PLC modelling and assessment at a finer scale and on a larger scale.

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Development of a helicopter-mounted eye-safe laser radar system for distance measurement between power transmission lines and nearby trees

Cited by 34 publications

References 1 publication

A survey of sag monitoring methods for power grid transmission lines

A survey of sag monitoring methods for power grid transmission lines

LiDAR-Based Real-Time Detection and Modeling of Power Lines for Unmanned Aerial Vehicles

Power Line Extraction and Reconstruction Methods from Laser Scanning Data: A Literature Review

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