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Active Audit Method and Robotic System Based on Big Data and Deep Learning

A deep learning and data technology, applied in the information field, can solve problems such as untimely audit, missed audit, and failure to discover in time, so as to achieve the effect of improving intelligence and accuracy, improving efficiency, and reducing workload

Active Publication Date: 2021-06-25
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 Audit Method and Robotic System Based on Big Data and Deep Learning
  • Active Audit Method and Robotic System Based on Big Data and Deep Learning
  • Active Audit Method and Robotic System Based on Big Data and Deep Learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

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

Embodiment 2

[0195] Embodiment 2 provides an audit method, including the steps of the method described in Embodiment 1; wherein, the object data acquisition step S200 includes the data source acquisition step S210, object data retrieval S220, and the data acquisition step S300 corresponding to the standard 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 the corresponding data source acquisition step S321, the credibility acquisition step S322, and the credibility selection step S323.

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PUM

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Abstract

The active audit method and robot system based on big data and deep learning, including: obtaining the audit standard of the preset category, obtaining the data of the object that has not applied for audit, obtaining the data corresponding to the audit standard from the data of the object, and judging Whether the data corresponding to the audit standard conforms to the audit standard, and feedback the audit result to the non-audit-applied object who fails the audit. The above method and system improve the timeliness of auditing and problem solving through the active auditing technology based on big data and deep learning, and avoid missing audits.

Description

technical field [0001] The invention relates to the field of information technology, in particular to an active audit method and robot system based on big data and deep learning. Background technique [0002] In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: under the prior art, auditing is performed by objects (objects include enterprises, etc.) to apply for audit (such as high-tech enterprise audit), if the object does not apply for audit, then Even if the object does not meet the audit standards, it is impossible to have the opportunity to find problems through the audit; the object will not apply for an audit in the following situations: (1) The object is not clear about the audit process or standards, and does not know how to apply for an audit: (2) The subject subjectively overestimated himself, thinking that he was qualified for the audit standard and did not need to be audited; (3) T...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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