Data processing method, device, electronic device and storage medium

By calculating the correction coefficient of the APP report data and the number of sample equipment, combining the population difference value and the number of permanent population, the problem of insufficient accuracy of geographical area prediction data is solved, and more accurate prediction of active population is achieved.

CN117251453BActive Publication Date: 2025-08-12ZHEJIANG MEIRI HUDONG NETWORK TECH CO LTD
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Patent Information

Application Number
CN202311327592.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-10-13
Publication Date
2025-08-12
Estimated Expiration
2043-10-13

AI Technical Summary

Technical Problem

When predicting the number of targets in a geographical area, the existing technology is affected by APP reporting factors and geographical area differences, resulting in insufficient accuracy of the prediction data.

Method used

By obtaining the average reporting data volume and sample equipment in the APP in the set area, the first and second correction coefficients are calculated, and the population difference value and the number of permanent population are combined to obtain the active population reduction value to reduce the impact of reporting differences.

Benefits of technology

Improve the accuracy of the prediction data, bringing the number of active population closer to the actual value, and reducing the impact of collection fluctuations.

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Abstract

The present invention provides a data processing method, comprising: obtaining the average reported data volume AB of the APP corresponding to the set area i corresponding to the current time i Average number of AR devices associated with APP i ; AB i Compare with the corresponding reference range to obtain the corresponding first comparison result k i1 , and AR i Compare with the corresponding reference range to obtain the corresponding second comparison result k i2 Based on k i1 and k i2 Get f i1 ; Get the population difference value DR corresponding to the set area i in the current target time window corresponding to the current time i =C i / AQ i ; Based on the population difference value set DR, the resident population observation value set C and the resident population quantity set AQ, the fitting coefficient set g is obtained; based on g, f is obtained i2 ; Based on f i1 and f i2 The active population restoration value corresponding to the set area i within the current target time window is obtained. The present invention can improve the accuracy of the prediction.
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