Abnormal data determination method and device based on position service and electronic equipment

Abstract

The embodiment of the invention discloses an abnormal data determination method and device based on position service and electronic equipment. According to the embodiment of the invention, after an original image sequence used for representing original service data generated by each sub-area in a predetermined geographic area in the same sub-time period of a plurality of first time periods is obtained, the original image sequence is reconstructed; A reconstructed image sequence used for representing prediction service data of each sub-area in the geographic area in the same sub-time period isacquired by calculation and an abnormal time period in a plurality of first time periods is determined according to the original image sequence and the reconstructed image sequence, Abnormal subareasand abnormal data are determined according to the original image sequence and the reconstructed image sequence of the abnormal time period. The data generated in the predetermined geographic area is converted into the image, and the anomaly detection is carried out in a reconstruction mode, so that the abnormal data can be accurately determined from the spatial distribution data with time continuity.

Description

technical field [0001] The invention relates to a data processing method, in particular to a location service-based abnormal data determination method, device and electronic equipment. Background technique [0002] With the rapid development of the Internet technology field and the acceleration of the pace of life, the scale of data generated in daily production and life is getting larger and larger. The amount of information contained in the data is very large, so for all walks of life, it is very necessary to analyze the data accurately. However, abnormal data cannot be avoided in daily production and life. Therefore, in order to accurately analyze the data, it is necessary to determine the normal data and a small amount of abnormal data from a large amount of data, so as to analyze the abnormal data and normal data separately. However, the existing technology is not very accurate in determining abnormal data from spatially distributed data with time continuity, thus resu...

AI Technical Summary

Problems solved by technology

However, abnormal data cannot be avoided in daily production and life. Therefore, in order to accurately analyze the data, it is necessary to determine the normal data and a small amount of abnormal data from a large amount of data, so as to analyze the abnormal data and normal data separately.

However, the accuracy of the existing technology for determining abnormal data from spatially distributed data with time continuity is not high, which will lead to low accuracy of subsequent data analysis

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