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Active auditing method and robot system based on big data and depth learning

A deep learning and data technology, applied in the information field, can solve problems such as untimely discovery, untimely audit, and missed audit.

Active Publication Date: 2019-03-01
SUPERPOWER INNOVATION INTELLIGENT TECH DONGGUAN CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide an active audit method and robot system based on big data and deep learning to address the defects or deficiencies in the existing technology, so as to solve the problems of untimely audit, failure to find problems in time, and missed audit in the existing technology. shortcoming

Method used

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  • Active auditing method and robot system based on big data and depth learning
  • Active auditing method and robot system based on big data and depth learning
  • Active auditing method and robot system based on big data and depth learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0194] Embodiment 1 provides an audit method, which includes an audit standard acquisition step S100, an object data acquisition step S200, a standard corresponding data acquisition step S300, an audit judgment step S400, and an active feedback step S500, such as figure 1 Shown.

Embodiment 2

[0195] Embodiment 2 provides an auditing method, including the steps of the method described in Embodiment 1. Among them, the object data acquisition step S200 includes a data source acquisition step S210, an object data retrieval step S220, and the standard corresponding data acquisition step S300 includes data screening Step S310, data cleaning step S320.

Embodiment 3

[0196] Embodiment 3 provides an audit method, including the steps of the method described in Embodiment 2; wherein, the data cleaning step S320 includes a corresponding data source obtaining step S321, a credibility obtaining step S322, and a credibility selecting step S323.

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PUM

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Abstract

The invention provides active auditing method and robot system based on big data and depth learning, comprising obtaining audit standards of preset category, obtaining data of objects not applied foraudit, obtaining data corresponding to the audit standards from the data of the objects, judging whether the data corresponding to the audit standards conforms to the audit standards, and feeding backthe audit results to the objects not applied for audit whose audit fails. The method and system improve the timeliness of audit, solve problems in time and avoid missing audit by active audit technology based on big data and deep learning.

Description

Technical field [0001] The present invention relates to the field of information technology, in particular to an active audit method and a robot system based on big data and deep learning. Background technique [0002] In the process of implementing the present invention, the inventor found that there are at least the following problems in the prior art: under the prior art, all audits performed by subjects (including enterprises, etc.) apply for audits (for example, high-tech enterprise audits). If the subject does not apply for audits, then Even if the subject does not meet the audit standards, it is impossible to have the opportunity to discover problems through the audit; the subject will not apply for audit in the following situations: (1) The subject is not clear about the audit process or standards, and does not know how to apply for an audit: (2) Subjectively overestimated themselves, and believed that they were up to the audit standards, and there was no need for auditin...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q40/00G06N20/00
CPCG06Q10/0639G06Q40/12
Inventor 朱定局
Owner SUPERPOWER INNOVATION INTELLIGENT TECH DONGGUAN CO LTD
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