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1.福州大学电气工程与自动化学院,福建省福州市 350116
2.福建省电器智能化工程技术研究中心,福建省福州市 350116
3.国网宁夏电力有限公司电力科学研究院,宁夏回族自治区银川市 750000
张逸(1984—),男,通信作者,博士,副教授,主要研究方向:电能质量、主动配电网及电力数据分析。E-mail:zhangyi@fzu.edu.cn
李渴(1996—),女,硕士研究生,主要研究方向:电能质量分析与控制技术。E-mail:811124816@qq.com
邵振国(1970—),男,教授,博士生导师,主要研究方向:分布式发电的运行不确定性与优化、电力系统稳定与控制、电能质量分析与治理。E-mail:shao.zg@fzu.edu.cn
收稿日期:2020-02-23,
修回日期:2020-04-28,
网络出版日期:2020-06-17,
纸质出版日期:2020-09-10
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张逸,李渴,邵振国等.基于标准文件的电能质量领域本体构建方法[J].电力系统自动化,2020,44(17):102-110.
ZHANG Yi,LI Ke,SHAO Zhenguo,et al.Standard Files Based Ontology Construction Method in Power Quality Domain[J].Automation of Electric Power Systems,2020,44(17):102-110.
张逸,李渴,邵振国等.基于标准文件的电能质量领域本体构建方法[J].电力系统自动化,2020,44(17):102-110. DOI: 10.7500/AEPS20200223005.
ZHANG Yi,LI Ke,SHAO Zhenguo,et al.Standard Files Based Ontology Construction Method in Power Quality Domain[J].Automation of Electric Power Systems,2020,44(17):102-110. DOI: 10.7500/AEPS20200223005.
针对现有电能质量领域本体缺乏标准化的构建方法、术语间关系模糊且实用性差、无法随领域发展自动更新等缺点,提出一种基于电能质量标准文件的本体构建方法。首先,剖析电能质量标准文件中的句式结构和语义关系,形成关系函数实现术语之间的语义关联;其次,构建电能质量专业词汇表,结合自然语言处理技术,处理文本并提取领域术语;然后,根据领域术语及其函数关系,将具体术语对应到本体单元框架中的不同实例,建立阶段、现象、对象和技术监督4个维度的电能质量领域本体单元;最后,基于不同阶段的电能质量技术要求,形成多维度知识联络紧密的本体模型。该构建方法能利用标准文件建立各个阶段不同分析对象的本体模型,支撑系统间数据共享及中文人机交互,建模过程简单,易标准化且本体能随标准文件修订而更新,具有较好的实用性。
Existing researches on ontology in the power quality domain have such disadvantages as lack of standardized construction method
unclear relationships between terms and poor practicability
as well as the inability to automatically update with the domain development. Aiming at the above problems
an ontology construction method based on power quality standard files is proposed. Firstly
the sentence structure and semantic relationship in the power quality standard files are analyzed to form a relationship function to realize the semantic association between terms. Secondly
the text is processed and domain terms are extracted by building a professional vocabulary of power quality and adopting natural language processing technology. Then
according to the domain terms and their functional relationships
the specific terms are mapped to different instances in the ontology unit framework to construct an ontology unit in the power quality domain in four dimensions of stage
phenomenon
object and technical supervision. Finally
based on the technical requirements of power quality at different stages
an ontology model with close multi-dimensional knowledge connections is formed. The construction method can use standard files to build ontology models of different analysis objects at various stages
and support data sharing between systems and human-computer interaction in Chinese. The modeling process is simple and easy to standardize. And the ontology can be updated with the revision of standard files
so it has good practicality.
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