The invention relates to a
power transmission line defect detection method and
system and
electronic equipment. The method comprises the steps of constructing a
power transmission line defect detection model based on virtual and real sample integration and transfer learning according to image sample data of
power transmission line elements, The method specifically comprises the following steps: step a, constructing a virtual and real integrated
virtual sample generation and labeling model, integrating rich ground object information in virtual data and
real image data, and fusing the virtual data and the real data; B, constructing a
deep learning transfer learning model, and completing model optimization based on transfer learning; And step c, training a
deep learning model based on a target detection
algorithm, and carrying out abnormity diagnosis on the power
transmission line element on the basis of target detection of
deep learning. Through deep learning distributed training of massimage samples, the power
transmission line defect detection model based on multi-
image fusion of visible light,
infrared light,
ultraviolet light and the like is established, the defect recognition accuracy can be improved, and the inspection working efficiency and quality are improved.