Research and Application of Text Data Structuring in Field of Power Generation
With the development of the Internet,practitioners in the field of power generation urgently need to use intelli-gent and automated means to process huge power equipment information,and the existing annotation tools are difficult to support text in professional fields.Data annotation work to realize the construction of knowledge graph.Therefore,based on deep learning,this paper designs a text data structuring method that combines multiple algorithms to optimize the text labeling process and achieve accurate labeling of corpus.The construction of knowledge graphs in the field of power gen-eration optimizes the management of power plant equipment failure data.Based on the analysis results of real power plant equipment fault data,it is verified that the proposed text data structuring method provides great possibilities for establishing a visual analysis system for power plant fault diagnosis,and effectively improves the equipment management ability.
corpus annotationdata structuringpower equipmentknowledge graph
万方数据
维普
