Electric power operation monitoring data quality assessment system and method

Abstract

The invention provides an electric power operation monitoring data quality assessment system and method. The system includes a data set extraction module, an abnormity discrimination module, and a data quality assessment module that independently execute scripts codes. The method includes that a needed data set is extracted from an electric power operation monitoring data center; for the target data set, the abnormal electric power data is discriminated by means of data quality assessment indexes and constraint rules, the detected data quality problem is processed, an evaluation method is determined, and the calculation result is stored; and the result information of the data quality assessment indexes is acquired and the visualized operation is selected. The system and method prevent the problem in the data quality assessment process in the prior art, greatly improve the whole data quality assessment efficiency, and can visually perform quantification assessment and result feedback, and thus providing a systematic and comprehensive data quality assessment standard, guaranteeing the accuracy, timeliness, effectiveness, and reliability of data, enhancing the improvement of electric power operation monitoring data quality and further improving the running stability of an electric power system.

Description

technical field [0001] The invention relates to the field of electric power operation monitoring, and specifically relates to a system and method for evaluating the quality of electric power operation monitoring data. Background technique [0002] As a strategic resource and a factor of production, information resources are gradually becoming the basis for the normal operation of enterprises. Abnormal data such as missing and wrong data will inevitably produce wrong or inaccurate processing results, leading to wrong or inaccurate decisions, which may cause serious damage to the enterprise. even fatal consequences. Therefore, data quality is very important for enterprises. [0003] Power operation monitoring data has the characteristics of large volume, many types, and fast speed. There are problems such as inconsistent data statistics, uneven data quality, duplication of business functions, and lagging data quality control. However, in view of the data quality problem, the...

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Problems solved by technology

[0005] In view of this, the present invention provides a power operation monitoring data quality evaluation system and method, which avoids the problem of re-execution once an error occurs in the existing data quality evaluation process, and greatly improves the overall data quality evaluation efficiency ;It can carry out intuitive quantitative evaluation and result feedback, thus providing a systematic and comprehensive data quality evaluation standard, ensuring the accuracy, timeliness, effectiveness and credibility of the data, promoting the improvement of data quality, and thus improving the operation stability of the power system

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