Electric field simulation and discharge distance measurement between UAV and overhead line

Dong, Xuanchang; Qu, Fengrui; Li, Yanfei; Wu, Zhikun; Chen, Zeming; Lai, Qingbo; Liu, Gang

doi:10.1109/icpadm.2018.8401098

Cited by 3 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the distance between the UAV and the conductor is far less than the distance between the UAV and the ground, the impedance change between the UAV and the ground in the inspection process is much smaller than that between the UAV and the transmission conductor, so the impedance between the UAV and the ground can be regarded as a fixed value [20]. Therefore, the analysis in Formula (2) shows that with the voltage U remaining unchanged, as the distance D 1 between the drone and the wire decreases, the field strength E 1 between them gradually increases, and if D 1 is extremely small, the air between the drone and the transmission line is broken down, causing the phenomenon of induced electrification.…”

Section: Analysis Of the Influence Of Distorted Electric Field On Uavmentioning

confidence: 99%

“…In order to ensure the stability of the inspection of the unmanned aerial vehicle, in addition to the electronic components to meet certain anti-electromagnetic interference performance, the flight speed, wind speed, navigation positioning error, and the size of the drone structure and these factors have a great influence on the determination of the safe distance of the UAV line [20].…”

Section: Analysis Of the Safe Distance Of The Uav Patrol Power Linementioning

confidence: 99%

See 1 more Smart Citation

A Method Based on Multi-Sensor Data Fusion for UAV Safety Distance Diagnosis

2019

View full text Add to dashboard Cite

With the increasing application of unmanned aerial vehicles (UAVs) to the inspection of high-voltage overhead transmission lines, the study of the safety distance between drones and wires has received extensive attention. The determination of the safety distance between the UAV and the transmission line is of great significance to improve the reliability of the inspection operation and ensure the safe and stable operation of the power grid and inspection equipment. Since there is no quantitative data support for the safety distance of overhead transmission lines in UAV patrol, it is impossible to provide accurate navigation information for UAV safe obstacle avoidance. This paper proposes a mathematical model based on a multi-sensor data fusion algorithm. The safety distance of the line drone is diagnosed. In these tasks, firstly, the physical model of the UAV in the complex electromagnetic field is established to determine the influence law of the UAV on the electric field distortion and analyze the maximum electric and magnetic field strength that the UAV can withstand. Then, based on the main factors affecting the UAV such as the maximum wind speed, inspection speed, positioning error, and the size of the drone, the adaptive weighted fusion algorithm is used to perform first-level data fusion on the homogeneous sensor data. Then, based on the improved evidence, the theory performs secondary fusion on the combined heterogeneous sensor data. According to the final processing result and the type of proposition set, we diagnose the current safety status of the drone to achieve an adaptive adjustment of the safety distance threshold. Lastly, actual measurement data is used to verify the mathematical model. The experimental results show that the mathematical model can accurately identify the safety status of the drone and adaptively adjust the safety distance according to the diagnosis result and surrounding environment information.

show abstract

Section: Analysis Of the Influence Of Distorted Electric Field On Uavmentioning

confidence: 99%

Section: Analysis Of the Safe Distance Of The Uav Patrol Power Linementioning

confidence: 99%