Power grid construction quality monitoring method based on client perception values

Abstract

The invention discloses a power grid construction quality monitoring method based on client perception values. The power grid construction quality monitoring method comprises the following steps: 1, intelligently recognizing information for reflecting client feeling values in service center voice data; 2, performing real-time transformation processing on power client fault report data within a full power grid; 3, establishing a CPVG comprehensive monitoring model according to data obtained in the step 1 and the step 2, thereby obtaining CPVG comprehensive monitoring result; 4, demonstrating CPVG comprehensive monitoring result by means of big data visualization. By adopting the power grid construction quality monitoring method, the subjective perception with values, of power clients to power grid construction quality can be reflected, monitoring delay can be avoided, the clients can rapidly check valuable information from massive data, and the management and decision efficiency can be improved.

Description

technical field [0001] The invention relates to a method for monitoring the quality of power grid construction based on customer perceived value, and belongs to the technical field of power grid construction quality monitoring. Background technique [0002] Since the beginning of the 21st century, human society has fully entered the era of knowledge economy, network era, and information explosion era, all of which are attributed to the construction of power grids. Therefore, the quality of power grid construction is particularly important, which is related to everyone's life. [0003] In the context of the wide application of big data analysis, the comprehensive evaluation of power grid construction quality level has gradually developed from traditional technical indicators to the direction of customers' subjective perception of power grid construction quality value. The processing and analysis of structured data is convenient for enterprises to mine information related to ...

AI Technical Summary

Problems solved by technology

[0005] (1) Analysis from the technical indicators of grid power supply quality and service quality cannot reflect the subjective perception of electricity customers on the value of grid construction quality;

[0006] (2) The monitoring system involves a wide range of businesses and data collection is difficult, resulting in a large delay in monitoring results;

[0007] (3) The traditional BI display interface displays data through basic charts such as histograms and reports, which is not convenient for customers to quickly find valuable information from massive data, which affects the efficiency of management decision-making

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