基于改进 YOLOX 的继电保护压板状态校核方法^*

Verifying the state of relay protection plate is an important part of the substation inspection, but the existing verification methods are mostly manual reading and repetition checking, which is inefficiency and error-prone. Therefore, an intelligent verification method of protection plate state based on the improved YOLOX is proposed. Firstly, the method recognizes the platen state and locates platen label position based on YOLOX model which is improved by attention mechanism in the backbone feature extraction network. Secondly, the angle of the image area calibrated by the bounding box is corrected, and then text recognition is realized based on the optical character engine and professional corpus of the plate dual name in order to obtain the mapping relationship between the state and the dual name. Finally, images collected in actual substation is used for experiment. The results show that, for the recognition of the platen state, this proposed method has higher recognition accuracy and robustness, and for text recognition, skew angle correction and the construction of professional corpus can significantly improve the recognition accuracy of platen dual names. This proposed method provides a new idea for the smart inspection robot to realize the intelligent platen state check.