Unstructured Information Extraction Method of Intelligent Terminal in Distribution Network under the Background of Double Carbon
Unstructured information is the basis for the operation of distribution network intelligent terminal,but its disordered attribute and low data extraction efficiency affect the application effect.Therefore,an unstructured information extraction method of distribution network intelligent terminal under the background of double carbon is proposed.This paper applies ob-ject-oriented modeling technology and UML modeling language to build the information model of intelligent terminal of distribu-tion network,formulate the unstructured information retrieval process based on the idea of Rocchio algorithm,separate the un-structured information from the information set,use the forward shortest editing distance generalization to process the unstruc-tured information,complete the unstructured information clustering,and mark and extract the unstructured information re-quired by users through Bi-LSTM-CRF model.The unstructured information extraction of distribution network intelligent ter-minal is realized.The experimental data show that the minimum extraction time of unstructured information obtained by the proposed method is 3.6 s,the extraction accuracy is higher than 0.80,the recall is lower than 0.17,and the F1 value is lower than 0.28,which fully confirms the high efficiency and accuracy of unstructured information extraction of the proposed meth-od.
distribution networkunstructured informationintelligent terminaldual carbon backgroundinformation extrac-tion
万方数据
维普
