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Intelligent retrieval in power quality evaluation application

机译:电力质量评估应用中的智能检索

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In the power system, the query on power grid operating parameters are generally based on directory-inquiry approach. For large-scale grid, the efficiency of this retrieval method is fairly low, and also lack of data evaluation. In view of the defect, this article presents a semantic structure of intelligent retrieval system for power system, which bases on ontology. It divided the query words into two parts through the method of word segmentation, which consists of location and evaluation section. By analyzing the location section to locate the object carrier position, and analyze the evaluation section to evaluate the data by the rules in power system, finally present the outcome to user sort by special style. It not only runs fast on querying data, but also has the ability to analyze the collected data.
机译:在电力系统中,电网操作参数的查询通常基于目录查询方法。对于大型网格,这种检索方法的效率相当低,并且也缺乏数据评估。鉴于缺陷,本文介绍了电力系统智能检索系统的语义结构,在本体上基于本体。它通过单词分割方法将查询词分为两个部分,由位置和评估部分组成。通过分析定位部分来定位对象载波位置,并分析评估部分以通过电力系统中的规则评估数据,最后将结果呈现给用户的特殊样式。它不仅在查询数据上运行,而且还有能力分析所收集的数据。

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