基于本体和多Agent的电能质量监测信息智能检索模型  

Ontology and Multi-Agent Based Intelligent Retrieval Model for Power Quality Monitoring Information

作　　者：谭丹[1] 杨洪耕[1] 叶茂清 

机构地区：[1]四川大学电气信息学院,四川省成都市610065 [2]四川省电力科学研究院,四川省成都市610065

出　　处：《电网技术》2013年第10期2953-2958,共6页Power System Technology

基　　金：国家自然科学基金项目(51077095)~~

摘　　要：提出一种基于本体和多Agent的电能质量监测信息智能检索模型。利用本体技术与多Agent技术相结合,建立一4层联盟式结构的智能检索模型。首先详细描述了该模型各层结构的功能,然后阐述了模型核心部分电能质量本体知识库的具体构建方法,最后通过实例分析对智能检索实现过程作了详细说明。该模型中各层结构采用Agent联盟方式,符合智能化检索的需求;借助本体知识库实现用户的检索请求,不仅能够提高检索效率,还能对基本检索信息进行深层次挖掘。实例分析表明了该模型能够快速高效地实现智能检索,具有一定的实用价值。An intelligent retrieval model based on ontology and multi-agent for power quality monitoring information is proposed. Integrating ontology technique with multi-agent technique an intelligent retrieval model with four-layer alliance structure is established. Firstly, the functions of each layer in this model are described in detail; then a concrete constructing method for ontological knowledge base of power quality in the core of the retrieval model is expounded; finally through case analysis the implementation of the intelligent retrieval is illustrated. The agent alliance mode is applied in the structure of all layers in the retrieval model, so it conform to the requirement of intelligent retrieval; implementing users＇ retrieval requests by ontological knowledge base not only can improve the retrieval efficiency, but also can perform deep mining to basic retrieval information. Case analysis shows that using the proposed retrieval model the intelligent retrieval can be implemented quickly and efficiently.

关 键 词：电能质量监测 本体 多AGENT 智能检索 模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]