Research on Automatic Rating Method for Electric Power Defects Based on Natural Language Processing
The current method of power equipment defect rating in the grid adopts manual classification,which is inefficient and prone to misclassification and misrating due to human factors.Based on this,this paper proposes an automatic defect rating method and disposal rec-ommendation push based on natural language processing.Firstly,according to the characteristics of power equipment defect texts,a defect classification method based on tree path matching algorithm is proposed.Then,aiming at the problem of defect branch localization,a defect classification method based on text similarity matching is proposed to complement the tree path matching algorithm,while achieving the dis-posal recommendation push.Finally,through case analysis and testing,the feasibility and effectiveness of the proposed method in this paper are verified.
natural language processingpower equipment defect textautomatic ratingdisposal recommendation push
万方数据
维普
