Research on the Quality Evaluation Method of Transmission and Transformation Inspection Data

Abstract

In the era of big data, transportation and inspection data of power transmission and transformation equipment have the characteristics of diversity and richness. Massive data provide data support for state assessment of power transmission and transformation equipment, but at the same time, it also puts forward higher requirements for traditional data management and data quality mode. In this paper, the application of density distribution function estimation and information entropy statistical method in data quality evaluation of transmission and transformation equipment is studied. From the perspective of data integrity, validity and consistency, a five-dimensional data quality evaluation model is established to realize the information checking and quality evaluation of transmission, transformation and transportation inspection based on data characteristics and business rules. On the one hand, it can be compared and evaluated before and after data cleaning, on the other hand, it can also be convenient to find problems in the process of data collection