The invention relates to a deep learning-based power transmission and transformation project quality common problem prevention and detection method, which comprises the following steps of S1, obtaining power transmission and transformation project power box grounding connection detection data, and performing preprocessing; S2, constructing a power transmission and transformation project power boxgrounding connection detection data set according to training algorithm requirements; S3, adjusting and optimizing training hyper-parameters of a deep learning algorithm yolov4tiny, optimizing the training model by adopting an optimization algorithm, and performing training according to the data set to obtain a yolov4tiny detection model; S4, performing target detection on the input picture according to the yoov4tiny detection model obtained after training, and obtaining a preliminary detection result; S5, decoding the preliminary detection result, screening out a final detection result by adopting an improved non-maximum suppression algorithm, and finally drawing a detection box in the input picture. The method can effectively identify and judge whether the power box is in grounding connection or not, has good generalization ability and robustness, and can have good detection performance in a complex environment.