NLP-based operator work order intelligent processing method and system

The invention provides an NLP-based operator work order intelligent processing method and system in the technical field of intelligent operation and maintenance, and the method comprises the steps: S10, obtaining a large amount of work order data, and carrying out the data cleaning of each piece of work order data, and obtaining a work order data set; step S20, creating a work order pre-judgment model, a work order transfer model and a work order reply model, and training each model by using the work order data set; step S30, issuing the trained work order pre-judgment model, work order transfer model and work order reply model; step S40, acquiring a to-be-processed work order, performing data cleaning on the to-be-processed work order, inputting the to-be-processed work order into the work order pre-judgment model to perform work order classification, and generating a classification result; step S50, inputting the to-be-processed work order into a work order transfer model based on the classification result