Intelligent high-altitude power inspection vision module based on KendryteK210 microcontroller
Abstract
its normal operation. With the development of unmanned aerial vehicle platform and microprocessor technology in recent years, the
unmanned aerial vehicle inspection platform based on microprocessor is an important development direction of power transmission network
maintenance. Based on this background, this paper designs an intelligent high-altitude line inspection vision module based on KendryteK210
microcontroller. The module can be used as a UAV load to carry out efficient power line patrol work, and wireless communication is
carried out by ESP8285Wi-Fi. First of all, the inspection vision module uses OV2640 visible light camera to complete the target image
data acquisition. Then, in the process of data processing, the least square method and Theil-Sen regression algorithm are combined to get
the target line object, so as to get the slope and length of the line object and other parameters. Finally, the target in the image was identifi ed
based on the yolov2 neural network model, and then the fl ight path instruction was provided for the UAV platform.
Keywords
Full Text:
PDFReferences
[1] Huipeng Li,Daochun Huang,Yongqing Deng, etal. Research progress and Prospect of UAV inspection and substation Equipment [J]. Hunan Electric
Power,2022,42(06):32-39.
[2] Hao Yang,Nan Lin,Chen Yuan, etal. Power patrol drones information security risk analysis and protection [J]. Electric power science and technology
journal, 2021, 4 (4) : 172-180. The DOI: 10.19781 / j.i SSN. 1673-9140.2021.04.022.
[3] Bin Wang,Ruijing Yang,Fugang Long, etal. Research on Portable Power Inspection System based on LiDAR Technology [J]. Automation Technology and
Application,2023,42(01):55-59. (in Chinese) DOI:10.20033/ J.1003-7241.
[4] Ao Ke,Yucong Wang. Target detection algorithm based on the deep learning application in electric power inspection review [J]. Journal of guangxi electric
power, 2022, (6) : 56 + 47-73. The DOI: 10.16427 / j.carol carroll nki issn1671-8380.2022.06.011.
[5] Yi Luo,Ganlong Wang,Kai Yan. Application of Component Recognition in inspection image of multi-rotor UAV [J]. Yunnan Electric Power
Technology,2021,49(01):20-24.
[6] Yincheng Qi,Aixue Jiang,Zhenbing Zhao, etal. Based on the improved SSD model with the image detection method for the power transmission line
inspection is [J]. Electric measurement and instrument, 2019, 56 (22) : 7-12 + 43. DOI: 10.19753 / j.i ssn1001-1390.2019.022.002.
[7] Jingdong Guo, Chan Pun, Renshu Wang, etc. Real-time inspection image detection of UAV Power line tower based on YOLO [J]. Electric Power of
China,2019,52(07):17-23.
DOI: https://doi.org/10.18686/esta.v10i4.606
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Libin Yang,Jianmin Zhou,Xiaolong Qin,Yuteng Zhang