Method, system and equipment for identifying state of pressing plate of transformer substation based on neural network

The invention relates to a transformer substation pressing plate state recognition method, system and equipment based on a neural network, and the method comprises the steps: obtaining a standard pressing plate state table of a current pressing plate from a production management system, and obtaining a background real-time pressing plate state table containing pressing plate switching state information from a safety main station platform; acquiring, processing and analyzing the field real-time pressing plate image to obtain a field real-time pressing plate state table containing identification data, judging whether the background real-time pressing plate state table and the field real-time pressing plate state table are consistent with the standard pressing plate state table or not, and obtaining a checking result corresponding to each pressing plate to be checked; the checking and checking of the pressing plate are realized, the task of manually checking the pressing plate by power transformation operation a