Application of 5G in Electric Power Inspection UAV

Hao-yang, LI

doi:10.1088/1742-6596/1920/1/012048

Cited by 7 publications

(4 citation statements)

References 1 publication

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“…In order to inspect the multi-link network situation, the LLDP protocol is read by the controller to obtain the network topology of the UAV inspection multi-link network data. Assume that the network data center of multi-link is 𝐺 𝑉, 𝐸 , 𝑉 represents the set of multi-link network data nodes, and 𝐸 represents the set of UAV inspection links [9][10].…”

Section: Uav Inspection Multi-link Data Scheduling Stream Selectionmentioning

confidence: 99%

Transmission line UAV inspection multi-link data congestion control method

Yuan¹,

He²,

Yao³

et al. 2023

International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022)

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The current UAV inspection multi-link data congestion control method based on link capacity uses a cache queue model to regulate the data throughput at the sending end, which leads to low control performance due to the lack of monitoring of data sending nodes. In this regard, the transmission line UAV inspection multi-link data congestion control method is proposed. The state of the UAV network data nodes is sensed using an ant colony algorithm, data scheduling flows are selected according to the bandwidth load, and data congestion is alleviated through data allocation as well as route maintenance. In the experiments, the control performance of the proposed control method is verified. The analysis of the experimental results shows that the proposed method is used to construct a multi-link data congestion control technique with a low data congestion rate and its control performance is high.

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Section: Uav Inspection Multi-link Data Scheduling Stream Selectionmentioning

confidence: 99%

Transmission line UAV inspection multi-link data congestion control method

Yuan¹,

He²,

Yao³

et al. 2023

International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022)

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“…A review of the literature indicates that UAVs are widely applied to generate accurate data and perform complex engineering tasks in geodesy [ 11 ], surveying, photogrammetry, and remote sensing [ 12 , 13 ], for mapping wetlands [ 14 ], for Cultural Heritage surveys [ 15 , 16 ], in urban change detection [ 17 ], to inspect and control objects that are difficult to access due to their location (bridges) and height (tall buildings, chimneys, power transmission towers) [ 18 , 19 , 20 ], to control photovoltaic panels with the use of thermal imaging cameras [ 21 ], to conduct firefighting and police operations, search for missing persons, and perform various tasks in agriculture [ 22 , 23 , 24 ] and forestry [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Accuracy in Unmanned Aerial Vehicle (UAV) Pose Estimation with the REAL-Time Kinematic (RTK) Method on the Example of DJI Matrice 300 RTK

Czyża

Szuniewicz

Kowalczyk

et al. 2023

Sensors

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The growing possibilities offered by unmanned aerial vehicles (UAV) in many areas of life, in particular in automatic data acquisition, spur the search for new methods to improve the accuracy and effectiveness of the acquired information. This study was undertaken on the assumption that modern navigation receivers equipped with real-time kinematic positioning software and integrated with UAVs can considerably improve the accuracy of photogrammetric measurements. The research hypothesis was verified during field measurements with the use of a popular Enterprise series drone. The problems associated with accurate UAV pose estimation were identified. The main aim of the study was to perform a qualitative assessment of the pose estimation accuracy of a UAV equipped with a GNSS RTK receiver. A test procedure comprising three field experiments was designed to achieve the above research goal: an analysis of the stability of absolute pose estimation when the UAV is hovering over a point, and analyses of UAV pose estimation during flight along a predefined trajectory and during continuous flight without waypoints. The tests were conducted in a designated research area. The results were verified based on direct tachometric measurements. The qualitative assessment was performed with the use of statistical methods. The study demonstrated that in a state of apparent stability, horizontal deviations of around 0.02 m occurred at low altitudes and increased with a rise in altitude. Mission type significantly influences pose estimation accuracy over waypoints. The results were used to verify the accuracy of the UAV’s pose estimation and to identify factors that affect the pose estimation accuracy of an UAV equipped with a GNSS RTK receiver. The present findings provide valuable input for developing a new method to improve the accuracy of measurements performed with the use of UAVs.

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“…And geographical conditions will not have an impact on drone inspections. Compared with manual inspection, drone inspection is more efficient [3].…”

Section: Introduction To the Main Technologies Of Uav Intelligent Pow...mentioning

confidence: 99%

UAV power line inspection based on multi-sensor fusion

Chen¹,

Sun²,

Fang³

2022

International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022)

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With the rapid development of sensors and integrated chips, traditional power grid inspection tasks are gradually replaced by drones and new sensors. However, the ability of robots or drones to collect and process information needs to be improved. The integration ability needs to be improved. This paper analyzes the shortcomings of the current UAV inspection robots, builds a wireless sensor network based on Lora, 5G modules and various sensor combinations, and completes the data collection work with the inspection robot at the same time. The information is sent back to the PC data center, and finally the purpose of drone inspection and assistance in inspection is achieved. After testing, the multi-sensor fusion UAV power line inspection can realize a full series of density curve distribution diagrams to meet the limited requirements of the line safety distance.

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Application of 5G in Electric Power Inspection UAV

Cited by 7 publications

References 1 publication

Transmission line UAV inspection multi-link data congestion control method

Transmission line UAV inspection multi-link data congestion control method

Assessment of Accuracy in Unmanned Aerial Vehicle (UAV) Pose Estimation with the REAL-Time Kinematic (RTK) Method on the Example of DJI Matrice 300 RTK

UAV power line inspection based on multi-sensor fusion

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