Power information system detection method and system based on association rules and DEA

Abstract

The invention discloses a power information system detection method based on association rules and DEA. The method comprises the steps: primarily selecting detection indexes; primarily extracting thedetection indexes; performing secondary extraction on the detection indexes, analyzing the indexes subjected to the primary extraction and the index values thereof by adopting an association rule algorithm to obtain association rules and association strength among the plurality of indexes, and obtaining association rules of which the association strength meets a preset condition; performing systemperformance detection, using a data envelopment analysis DEA model to obtain the overall performance of the power information system. According to the method, the log information indexes of the information system are extracted through the Apriori association rule algorithm, an important association rule capable of expressing the health of the power information system is selected, and then systemdetection is carried out by using a data envelopment analysis (DEA) model according to the extracted indexes, so that the real-time operation condition of the power information system is scientifically and effectively analyzed.

Description

technical field [0001] The invention relates to an electric power information system detection method and system based on association rules and DEA. Background technique [0002] With the acceleration of the informatization and intelligentization of the power system, information technology has been integrated into all aspects of the power system, such as power generation, transmission, transformation, distribution, and use. During the operation of the power information system, a large amount of log data will be generated, including system operation logs such as the network connection status of the system, database status, and related log information such as equipment operation parameters corresponding to different services. The health analysis and performance detection of the power information system are related to the operation safety of the power system. Therefore, in the operation and maintenance process of the power information system, it is necessary to conduct real-tim...

AI Technical Summary

Problems solved by technology

[0003] Traditional power information system operating status detection does not make full use of log information, and lacks comprehensive discrimination and analysis of multiple information for real-time monitoring of power information systems

In addition, data analysis methods based on traditional AHP and fuzzy comprehensive evaluation methods are difficult to overcome the subjectivity of the weight assignment of detection indicators, and it is difficult to deal with massive log information, which seriously affects the real-time and objectivity of system health analysis.

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