Identification of Key State Information of Substation Equipment Based on Text Mining and Semantic Analysis Technology

被引:0
|
作者
Wang, Hongwu [1 ]
Wu, Zengming [1 ]
Yang, Teng [1 ]
机构
[1] Yunnan Power Grid Co Ltd, Power Transmiss Branch, Kunming, Yunnan, Peoples R China
关键词
Text mining; Semantic analysis; Information identification;
D O I
10.1007/978-981-99-0553-9_70
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
As the number of substations in the power system continues to increase, the management of power equipment becomes increasingly complex. Using image recognition technology to perform text recognition on power equipment nameplates can effectively improve the management level of power system equipment. Text detection is the first step in text recognition, and traditional text detection techniques are complex and time-consuming. This paper proposes a nameplate text detection model based on the deep learning model EAST. Experiments show that this method can greatly accelerate the efficiency of power equipment nameplate recognition.
引用
收藏
页码:683 / 689
页数:7
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