Power grid data association method based on address matching technology

Abstract

The invention relates to a power grid data association method based on an address matching technology. The method achieves the aim that repair and complaint work orders without client numbers are associated to basic file information of clients through an address fuzzy matching technology. The power grid data association method comprises the following steps that pre-processing is conducted; repairaddress information of the clients is received and stored as text information; structured address information, special characters and Arabic numbers are deleted; Chinese address character strings aresubjected to editing distance calculation; a Chinese address character string of a user corresponding to a minimum calculation result is determined as a repair address of the user. Compared with the prior art, the power grid data association method has the advantages that a mode for achieving structured data association by using non-structured data association is provided, and fusion analysis of trans-disciplinary data is achieved; an address matching degree is calculated based on a minimum editing distance algorithm, adoption of Chinese word segmentation is avoided, and the misjudgment probability is lowered.

Description

Technical field: [0001] The invention relates to a method specially suitable for electric power public service departments, in particular to a grid data association method based on address matching technology. Background technique: [0002] After 5 years of centralized operation, the State Grid Customer Service Center has accumulated 156TB of customer appeal data and recorded information. However, it is affected by problems such as difficulty in accurately identifying various local dialects and over 90% of customers being unable to provide electricity usage numbers. The adjustment data has not been fully connected, and it is impossible to accurately establish the relationship between the customer's repair location and the power grid equipment through the "station-line-change-user" associated data structure, and analyze the power supply quality of the grid equipment from the customer's perspective. [0003] Customer repair data contains customer electricity address information. Unde...

AI Technical Summary

Problems solved by technology

[0006] The main disadvantage of the correlation analysis based on power outage information to households is that affected by the quality of power grid telemetry data, the range of power grid fault power outage information released within 30 minutes may not be completely accurate, and there may be omissions and misreports. There are common errors in the relationship. There are some differences between the power outage home list issued by the power supply company and the real power outage customers, which affects the accuracy of the analysis.

[0007] The main disadvantage of correlation analysis through customer numbers is that it is difficult for customers to provide customer numbers in the first time when they report a fault through the 95598 hotline. Through actual statistics, it is found that more than 90% of customers who report for repairs cannot provide power consumption numbers.

In addition, due to factors such as dialect and hotline call quality, 95598 customer service specialists may have errors in account number records, so this method has a certain impact on data coverage and accuracy

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