基于本体的电能质量监测信息智能检索模型  

Ontology-based intelligent retrieval model for power quality monitoring information

作　　者：谢康[1] 杨洪耕[1] 黄静[1] 张逸[1] 

机构地区：[1]四川大学电气信息学院,四川成都610065

出　　处：《电工电能新技术》2013年第1期108-112,共5页Advanced Technology of Electrical Engineering and Energy

摘　　要：针对目前国内外电能质量监测系统普遍采用基于目录查询的传统检索方式,难以满足用户快速、高效、个性化的从海量监测数据中检索有用信息来从不同侧面评估电能质量,检索结果也难以反映电能质量各指标间相互影响的问题,提出了一种基于本体的电能质量监测信息智能检索模型的设计思路;探讨了该智能检索模型的本体关系及构建方法、体系结构和检索流程,并以模糊综合评估方法为例,说明了本智能检索模型的实现过程与关键步骤。该文所提出的智能检索模型设计思路对实际电能质量监测信息智能检索系统的实现具有一定的指导意义和工程实用价值。At present, most of PQMSs use directory-query-based retrieval methods, and it is unable to meet user＇s requirements to retrieve information efficiently from the massive monitoring data which is used to evaluate power quality （PQ） by different sides. Moreover, the retrieval results also fail to reflect the mutual influence between PQ indexes. To solve these problems effectively, a model named Intelligent Retrieval Model for Power Quality Monito- ring Information （IRMPQMI） is proposed; and the concept of designing of the model, ontology relation model and construction method, architecture and retrieval process of IRMPQMI are discussed. This method can help to re- trieve the potential information of power quality monitoring data and give the evaluation results, which provides the basis for decision making of power supply bureau. Numerical results with fuzzy comprehensive evaluation show the implementation procedures and committed steps of IRMPQMI. The idea of IRMPQMI is a guide and has high practical value to the real Intelligent Retrieval System for Power Quality Monitoring Information

关 键 词：电能质量 本体 智能检索 模糊综合评估 

分 类 号：TM727[电气工程—电力系统及自动化] TM391