Standard Files Based Ontology Construction Method in Power Quality Domain

被引:0
|
作者
Zhang Y. [1 ,2 ]
Li K. [1 ,2 ]
Shao Z. [1 ,2 ]
Luo H. [3 ]
机构
[1] College of Electrical Engineering and Automation, Fuzhou University, Fuzhou
[2] Fujian Smart Electrical Engineering Technology Research Center, Fuzhou
[3] Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd., Yinchuan
基金
中国国家自然科学基金;
关键词
Domain terms; Ontology construction; Power quality; Standard system;
D O I
10.7500/AEPS20200223005
中图分类号
学科分类号
摘要
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. © 2020 Automation of Electric Power Systems Press.
引用
收藏
页码:102 / 110
页数:8
相关论文
共 36 条
  • [1] WANG Ying, LUO Daijun, XIAO Xianyong, Et al., IEEE ICHQP2018 and development directions of power quality, Electric Power Automation Equipment, 39, 4, pp. 197-203, (2019)
  • [2] ZHANG Yufan, AI Qian, XIAO Fei, Et al., Present situation, supporting technologies and prospect of data driven power quality analysis, Electric Power Automation Equipment, 38, 11, pp. 187-196, (2018)
  • [3] BI Yanbing, JIANG Lin, WANG Xinjun, Et al., Design and investigation on service-oriented architecture-based smart grid dispatching and control system, Automation of Electric Power Systems, 39, 2, pp. 92-99, (2015)
  • [4] HUANG Yanhao, ZHOU Xiaoxin, Generalized data management model of smart grid based on ontology theory, Automation of Electric Power Systems, 38, 9, pp. 114-118, (2014)
  • [5] STUDER R, BENJAMINS V R, FENSEL D., Knowledge engineering: principles and methods, Data and Knowledge Engineering, 25, 1, pp. 161-197, (1998)
  • [6] QIU Linyao, A smart aggregation method of spatial-temporal data for natural disaster emergency tasks, (2017)
  • [7] KUCUK D, SALOR O, INAN T, Et al., Building an ontology for flexible power quality querying, 2008 23rd International Symposium on Computer and Information Sciences, pp. 1-6, (2008)
  • [8] KUCUK D, SALOR O, INAN T, Et al., PQONT: a domain ontology for electrical power quality, Advanced Engineering Informatics, 24, 1, pp. 84-95, (2010)
  • [9] XIE Kang, YANG Honggeng, HUANG Jing, Et al., Ontology-based intelligent retrieval model for power quality monitoring information, Advanced Technology of Electrical Engineering and Energy, 32, 1, pp. 108-112, (2013)
  • [10] TAN Dan, YANG Honggeng, YE Maoqing, Ontology and multi-agent based intelligent retrieval model for power quality monitoring information, Power System Technology, 37, 10, pp. 2953-2958, (2013)