文章基本信息

标题：The Key Techniques of Constructing the Database of Treatment Measures for Hidden Troubles in Electric Power System
本地全文：下载
作者：Shuchun Wang ; Xiaoguang Sun ; Jianyu Geng 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2020
卷号：185
页码：1-6
DOI：10.1051/e3sconf/202018501027
出版社：EDP Sciences
摘要：This article adopts a research method that combined with theoretical analysis and system design,analyzes multiple dimensions of common safety hazard events, uses support vector machine classificationalgorithms to filter and mine valuable information in massive data, and establishes a common safety hazardevent feature set. This kind of technology can realize the automatic classification of safety hazards andextract their characteristic information, introduce the semantic analysis, word segmentation clusteringmethod to determine the typical processing measures of events, and generate knowledge items to addmethods and models to the processing measures database, which can solve the grid safety hazard data entryspecifications, In-depth analysis and other issues.
其他摘要：This article adopts a research method that combined with theoretical analysis and system design, analyzes multiple dimensions of common safety hazard events, uses support vector machine classification algorithms to filter and mine valuable information in massive data, and establishes a common safety hazard event feature set. This kind of technology can realize the automatic classification of safety hazards and extract their characteristic information, introduce the semantic analysis, word segmentation clustering method to determine the typical processing measures of events, and generate knowledge items to add methods and models to the processing measures database, which can solve the grid safety hazard data entry specifications, In-depth analysis and other issues.