On-line monitoring method of long distance transmission and transformation line working status based on UAV oblique photography

The large amount of data generated by online monitoring methods needs to be processed and analyzed effectively to extract valuable information. However, there are still deficiencies in the processing and utilization of monitoring data, and it is difficult to fully realize the potential of online monitoring. To this end, an on-line monitoring method for long-distance transmission and transformation lines based on UAV oblique photography is designed. Adaptive Wiener algorithm is used for smooth denoising, wavelet transform is introduced to extract transient energy characteristics of fault current, Roche coil sensor is selected as monitoring equipment, and its anti-interference performance is optimized. UAV tilt photography technology is introduced, and high-precision monitoring of long-distance transmission and transformation lines is realized through multi-angle shooting and aerial triangulation. The experimental results show that the design method can reduce the fitting error of the headroom distance of transmission and distribution lines. At each test point, the time of the design method is kept between 1.07 and 1.42, and the monitoring speed is kept around 21fps at each test point.