Intelligent retrieval in power quality evaluation application

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.