With the development of the power system

the importance of high voltage transmission line inspection becomes increasingly prominent.There are frequent problems in the existing inspection modes of manned helicopters

unmanned aerial vehicles(UAVs)

and manual inspection.It proposes the all-weather autonomous inspection machine nest system for transmission lines.It analyzes the limitations of traditional inspection methods

such as the high cost of manned helicopters

imperfect UAV technology

and low efficiency of manual inspection.This system integrates technologies like 4G/5G network-connected terminals

the fusion of millimeter-wave radar and visual recognition

and contact-type automatic charging.It constructs an integrated system of UAV flight operation

intelligent machine nest

and cloud data platform.The system enables UAVs to conduct autonomous flight inspections

with functions like one-key lifting and lowering and automatic inspection.It realizes efficient data transmission and processing through the coordination of 4G/5G networks and cloud platforms.It planns and allocates tasks intelligently based on multiple factors.It achieves artificial intelligence image recognition using deep learning technology

and optimizes the effect through data augmentation.Research and verification show that this system significantly improves the autonomy and efficiency of UAV inspections.It has good adaptability and stability in different environments

provides reference for the development of technologies for transmission lines inspection in the power system.