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作 者:张钊棋 宋辉[1] 崔国栋 刘广辉 王建军 盛戈皞[1] 江秀臣[1] Zhang Zhaoqi;Song Hui;Cui Guodong;Liu Guanghui;Wang Jianjun;Sheng Gehao;Jiang Xiuchen(Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;State Grid Shandong Electric Power Co.Zaozhuang Power Supply Co.,Zaozhuang Shandong 277000,China)
机构地区:[1]上海交通大学电气工程系,上海200240 [2]国网山东省电力公司枣庄供电公司,山东枣庄277000
出 处:《电气自动化》2020年第5期64-66,共3页Electrical Automation
摘 要:电力设备绝缘状态文本数据包含现场局放检测的原始记录,为提高数据的利用率、挖掘对设备绝缘状态产生影响的关联信息,需要对其进行统一的处理与存储。使用了知识图谱技术对绝缘状态文本数据进行处理,并规定了绝缘状态文本记录格式,进而基于图数据库完成了数据存储。通过与关系型数据库进行对比发现,图数据库有着更高效的复杂关系查询性能,更适于存储关系复杂的绝缘状态文本数据。Insulation state text data for power equipment contain the original records of onsite partial discharge detection.In order to improve data utilization rate and excavate related information affecting equipment insulation state,uniform processing and storage becomes necessary.Knowledge graph technology was used to process insulation state text data,and record format for insulation state text was specified.Furthermore,data storage was completed on the basis of the graph database.Through comparison with the relational database,it was found that the graph database had an even more efficient query performance for complex relationship and was more applicable to storage of insulation state text data with complex storage relationship.
关 键 词:绝缘状态文本 图数据库 知识图谱 关联型数据 高效查询
分 类 号:TM855[电气工程—高电压与绝缘技术]
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