Electromagnetic Compatibility at UAVs Usage for Power Transmission Lines Monitoring

Rezinkina, Marina; Rezinkin, Oleg; Lytvynenko, Svitlana; Tomashevskyi, Roman

doi:10.1109/apuavd47061.2019.8943932

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…As we have stated above, this method is designed for the medical rescue in southwest China. The typical terrain, weather condition, and artificial facility [60] are all considered when constructing the corresponding target functions. The typical multiple UAVs for the medical disaster rescue are also designed.…”

Section: Discussionmentioning

confidence: 99%

Multi-UAV Optimal Mission Assignment and Path Planning for Disaster Rescue Using Adaptive Genetic Algorithm and Improved Artificial Bee Colony Method

Liu

Wang

et al. 2021

Actuators

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An optimal mission assignment and path planning method of multiple unmanned aerial vehicles (UAVs) for disaster rescue is proposed. In this application, the UAVs include the drug delivery UAV, image collection UAV, and communication relay UAV. When implementing the modeling and simulation, first, three threat sources are built: the weather threat source, transmission tower threat source, and upland threat source. Second, a cost-revenue function is constructed. The flight distance, oil consumption, function descriptions of UAV, and threat source factors above are considered. The analytic hierarchy process (AHP) method is utilized to estimate the weights of cost-revenue function. Third, an adaptive genetic algorithm (AGA) is designed to solve the mission allocation task. A fitness function which considers the current and maximum iteration numbers is proposed to improve the AGA convergence performance. Finally, an optimal path plan between the neighboring mission points is computed by an improved artificial bee colony (IABC) method. A balanced searching strategy is developed to modify the IABC computational effect. Extensive simulation experiments have shown the effectiveness of our method.

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Section: Discussionmentioning

confidence: 99%

Multi-UAV Optimal Mission Assignment and Path Planning for Disaster Rescue Using Adaptive Genetic Algorithm and Improved Artificial Bee Colony Method

Liu

Wang

et al. 2021

Actuators

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“…UAVs also play a significant role in industrial inspections, often leveraging specialized software or hardware [17][18][19]. However, these solutions are tailored to specific tasks and are not versatile for other activities.…”

Section: Related Workmentioning

confidence: 99%

Quantitative and Qualitative Analysis of Agricultural Fields Based on Aerial Multispectral Images Using Neural Networks

Strzępek,

Salach,

Trybus

et al. 2023

Sensors

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This article presents an integrated system that uses the capabilities of unmanned aerial vehicles (UAVs) to perform a comprehensive crop analysis, combining qualitative and quantitative evaluations for efficient agricultural management. A convolutional neural network-based model, Detectron2, serves as the foundation for detecting and segmenting objects of interest in acquired aerial images. This model was trained on a dataset prepared using the COCO format, which features a variety of annotated objects. The system architecture comprises a frontend and a backend component. The frontend facilitates user interaction and annotation of objects on multispectral images. The backend involves image loading, project management, polygon handling, and multispectral image processing. For qualitative analysis, users can delineate regions of interest using polygons, which are then subjected to analysis using the Normalized Difference Vegetation Index (NDVI) or Optimized Soil Adjusted Vegetation Index (OSAVI). For quantitative analysis, the system deploys a pre-trained model capable of object detection, allowing for the counting and localization of specific objects, with a focus on young lettuce crops. The prediction quality of the model has been calculated using the AP (Average Precision) metric. The trained neural network exhibited robust performance in detecting objects, even within small images.

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“…2,3 However, these traditional inspection methods are challenging to carry out inspection operations in remote areas or under severe weather conditions. New inspection methods such as UAV [4][5][6] and inspection robots [7][8][9] have emerged in recent years. With the development of visual recognition technology and industrial robot technology, the robot for inspecting power lines has gradually become a hot research topic.…”

Section: Introductionmentioning

confidence: 99%

The climbing performance analysis of a robot for power line inspection with retractable double serial manipulators

Shang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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A power line inspection robot has to overcome many kinds of obstacles in inspection processes. The strain clamp is the obstacles difficult for inspection robots to overcome. The inspection robot needs to have a particular climbing ability to overcome the strain clamp. Therefore, the ability to climb power lines is the key point of the inspection robot’s design. An inspection robot with retractable double serial manipulators is proposed to improve the climbing and obstacle-crossing ability. Besides, this paper shows that the inspection robot is more suitable for climbing from static analysis and dynamic evaluation index. Firstly, the obstacle-crossing processes and structures of the inspection robot are introduced. Next, the static analysis is carried out when inspection robot climbs the power lines. The static analysis shows that the new inspection robot has a smaller driving torque. What’s more, the dynamic model of the inspection robot is established by Lagrange’s dynamical equations. By constructing the dynamic evaluation indexes, the inspection robot with retractable arms performs better dynamic characteristics. Finally, a prototype robot is carried out to cross obstacles and climb up power lines. The results show that the inspection robot can overcome different obstacles and has a good climbing performance.

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Electromagnetic Compatibility at UAVs Usage for Power Transmission Lines Monitoring

Cited by 8 publications

References 4 publications

Multi-UAV Optimal Mission Assignment and Path Planning for Disaster Rescue Using Adaptive Genetic Algorithm and Improved Artificial Bee Colony Method

Multi-UAV Optimal Mission Assignment and Path Planning for Disaster Rescue Using Adaptive Genetic Algorithm and Improved Artificial Bee Colony Method

Quantitative and Qualitative Analysis of Agricultural Fields Based on Aerial Multispectral Images Using Neural Networks

The climbing performance analysis of a robot for power line inspection with retractable double serial manipulators

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