The invention relates to the technical field of detecting hidden dangers of transmission lines, in particular to an intelligent identification method of external force damage of a transmission line, which is composed of four steps of constructing a hidden danger database of external force damage of transmission lines, collecting images of unmanned aerial vehicles, identifying hidden danger imagesin an intelligent pattern, and pushing identification results. The invention adopts artificial intelligence image recognition technology based on computer vision and machine learning technology, builds a hidden danger database of external force damage of transmission lines, develops an intelligent image recognition system of transmission line damage caused by external force, digitizes the image data of UAVs, actively identifies the hidden danger of transmission line damage and automatically sends the warning information to the maintenance personnel. The method can reduce the workload of line patrol personnel at the grass-roots level, improve the work efficiency of operators, greatly reduce the operation cost of power grid, improve the technical level of intelligent management of power grid, and promote the upgrading of lean management of transmission line.