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Manual data verification method based on big data

A data verification and big data technology, applied in the field of data verification, can solve the problems of large amount of calculation, low comparison efficiency, comparison, slow running speed, etc., to achieve the effect of high verification efficiency and fast detection speed

Pending Publication Date: 2019-10-22
SUZHOU DIGITAL CHINA JET TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] During the customs inspection process, the enterprise needs to provide its own electronic account book to the customs department. In the process of uploading the electronic account book data, there will be various influences, and some influences will lead to data errors.
Therefore, it is necessary to check and compare the uploaded data. However, although the comparison logic of the traditional data comparison method is relatively simple, the comparison and operation speed are relatively slow, and the comparison efficiency is not high. Extract a piece of comparison data from the data, and then compare the comparison data with the compared data one by one and feed back the comparison results one by one. Low

Method used

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  • Manual data verification method based on big data

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Embodiment 1

[0024] Embodiment 1, combining figure 1 , a manual data verification method based on big data, including the steps: S1: Obtain manual data and define it as the first data set, obtain the input data of the manual, define the input data as the second data set, and the first data set and the second data set The sequential positions of the data in the two data sets are the same in one-to-one correspondence;

[0025] S2: The data in the first data set is split into multiple first data subsets according to a fixed length, and the data in the second data set is split into multiple second data subsets according to a fixed length;

[0026] S3: Querying the first data subset and the second data subset respectively, and obtaining the first data feedback subset and the second data feedback subset obtained in response to the search command;

[0027] S4: The first data feedback subset and the second data feedback subset have the same amount of target data obtained in response to the search...

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Abstract

The invention discloses a manual data verification method based on big data in the field of data verification. The method comprises: respectively splitting standard data input by a manual and input data into a plurality of first data subsets and second data subsets; querying in the first data subset and the second data subset respectively; when the target data in the first data feedback subset andthe second data feedback subset obtained by the corresponding search command are equal, representing that the possibility that problems occur in the first data subset and the second data subset is low; therefore, querying the next first data subset and the next second data subset in sequence. According to the method, a splitting and query mode is adopted, areas with unequal data before and aftermanual entry can be quickly positioned, then the unequal reasons are further queried, the phenomenon of data loss can be quickly found and the specific areas can be positioned, the verification efficiency is high, and the detection speed is high.

Description

technical field [0001] The invention relates to the field of data verification, in particular to a manual data verification method based on big data. Background technique [0002] During the customs inspection process, the enterprise needs to provide its own electronic account book to the customs department. In the process of uploading the electronic account book data, there will be various influences, and some influences will lead to data errors. Therefore, it is necessary to check and compare the uploaded data. However, although the comparison logic of the traditional data comparison method is relatively simple, the comparison and operation speed are relatively slow, and the comparison efficiency is not high. Extract a piece of comparison data from the data, and then compare the comparison data with the compared data one by one and feed back the comparison results one by one. Low. Contents of the invention [0003] Technical issues resolved [0004] Aiming at the prob...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/903G06Q40/00G06Q50/26
CPCG06F16/90348G06Q50/26G06Q40/125Y02D10/00
Inventor 周琨周在亮金瑞雪
Owner SUZHOU DIGITAL CHINA JET TECH CO LTD