A intelligent inspection method for transmission lines based on deep learning model miniaturization is proposed to solve the long vacuum period and low efficiency of image acquisition in the current intelligent inspection of transmission lines.Using the Paddle Slim

the model miniaturization tools from Paddle Paddle deep learning framework can compress the model of identification abnormal situation around transmission lines. Then the compressed model is deployed in wireless mobile devices driven by the edge-computing inference engine Paddle Lite. The proposed solution is applied in a power grid utility to verify its practicability.