Smart Sensor Network Optimization and Line Defect Identification Based on UAV Transmission Inspection under 5G Technology

被引:3
|
作者
Ni, Juan [1 ]
Zhan, Tanbochi [1 ]
机构
[1] CSG, Digital Grid Res Inst, Guangzhou 510000, Guangdong, Peoples R China
关键词
DESIGN;
D O I
10.1155/2022/6801985
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Transmission line is a key link in the transmission line, as the main equipment in the grid are located in the field; in the long-term harsh environmental conditions, the line is very easy to appear broken strands, broken, and other defects, which need to be regularly monitored and maintained. The traditional manual line inspection operation is not only harsh, labor-intensive, inefficient, and low precision but also has a great impact on the personal safety of the operators due to the complicated operating conditions. This project mainly focuses on 5G, intelligent sensor network technology, and the application of UAVs in high-voltage line inspection, detection, and maintenance. The developed inspection UAVs can effectively improve the efficiency of line inspection and quickly discover fault points, which brings convenience to the construction of power systems. In the 5G environment, the use of UAV transmission inspection technology for line fault identification can overcome the shortcomings of manual faults, but also timely and comprehensive fault detection, and improve the effectiveness and standardization of monitoring work.
引用
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页数:8
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