Big data auditing identification and classification method

Abstract

The invention discloses a big data auditing identification and classification method, and relates to the technical field of financial auditing, the method adopts an identification and classification system to work, the system comprises a block chain storage module, an intelligent classification module and a restoration module, the block chain storage module is used for storing financial data information to be processed in a block chain, and the intelligent classification module is used for storing the financial data information to be processed; the intelligent classification module is used for classifying financial statements of to-be-processed financial data into form type data, the restoration module is used for restoring financial statement information of the to-be-processed financial data into bill data, and the intelligent classification module is electrically connected with the restoration module. The intelligent classification module and the recovery module are electrically connected with the block chain storage module, the block chain storage module comprises a financial statement library, a parameter presetting module and a form type element temporary storage module, and the financial statement library is used for storing invoice bill style data corresponding to different financial statement information in a block chain. The method has the characteristic of targeted recovery.

Description

Technical Field

[0001] The present invention relates to the technical field of financial auditing, and in particular to a big data audit identification and classification method. Background Art

[0002] In financial audits, financial data is stored in a compressed form. When verification is required, two primary approaches are used: the substantive reconstruction method and the tabular classification method. The substantive reconstruction method focuses on the authenticity of transactions and balances in the financial statements. It assesses the accuracy of the financial statements by directly verifying specific transactions and balances. This method often includes examining vouchers, invoices, and bills, as well as conducting detailed sampling and analysis. The tabular classification method primarily assesses the validity of the internal financial data structure of the financial statements, ensuring proper verification and implementation during the financial reporting process.

[0003] Existing technologies often employ a holistic, binary restoration approach. While substantive restoration methods offer greater verification capabilities when the internal validity of certain financial statements is low, they also carry higher audit costs. Therefore, it is essential to design a big data audit identification and classification method for targeted restoration. Summary of the Invention

[0004] The purpose of the present invention is to provide a big data audit identification and classification method to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a big data audit identification and classification method, which adopts an identification and classification system to work, and the system includes a blockchain storage module, an intelligent classification module and a restoration module. The blockchain storage module is used to store the financial data information to be processed in the blockchain, and the intelligent classification module is used to classify the financial statements of the financial data to be processed into form data. The restoration module is used to restore the financial statement information of the financial data to be processed into bill data for processing. The intelligent classification module is electrically connected to the restoration module, and the intelligent classification module and the restoration module are both electrically connected to the blockchain storage module.

[0006] According to the above technical solution, the blockchain storage module includes a financial report library, a parameter preset module, and a form-type element temporary storage module. The financial report library is used to store invoice billing style data corresponding to different financial report information on the blockchain. The parameter preset module is electrically connected to the financial report library. The parameter preset module is used to store sufficient setting data for classifying financial report information as form-type data. The form-type element temporary storage module is used to temporarily store form-type financial report data that is consistent with the financial report information to prevent loss.

[0007] The intelligent classification module includes a classification method setting module, a financial report classification module, and a form-type degree adjustment module. The classification method setting module is used to generate a classification method for form-type data according to the setting when the financial data to be processed is uploaded and verified. The financial report classification module is electrically connected to the classification method setting module. The financial report classification module is used to classify the financial data to be processed to facilitate classification in different methods. The form-type degree adjustment module is electrically connected to the financial report classification module. The form-type degree adjustment module is used to intelligently classify the financial data to be processed according to the classification of the financial report and the information content of the financial data to be processed, and adjust the degree of the form-type data.

[0008] The restoration module includes a point-to-point verification module, a targeted restoration module and a restoration trigger module. The point-to-point verification module is used to establish a temporary point-to-point verification channel between the uploader of the financial data to be processed and the data user classified as form-type data in the financial data to be processed. The targeted restoration module is electrically connected to the financial statement classification module. The targeted restoration module is used to automatically restore to bill data operations when it is identified that the financial statement information in the financial data to be processed matches the usage focus of the data user. The restoration trigger module is used to grant the data user permission when it is determined that the data user is capable of restoration.

[0009] According to the above technical solution, the targeted recovery module includes a recovery progress reminder module, which is used to remind the corresponding data user of the recovery progress in real time; the targeted recovery module also includes a form-type data recovery module, which is electrically connected to the form-type element temporary storage module. The form-type data recovery module is used to restore the financial statements that match the user and need to be used in a targeted manner to bill data when the financial statements appear during the download process.

[0010] The financial statement classification module includes a financial statement identification module and a financial statement segmentation module. The financial statement identification module is used to identify financial statement feature information. The financial statement segmentation module is electrically connected to the financial statement identification module. The financial statement segmentation module is used to separate matching financial statement information in the blockchain storage module, thereby locking the financial statement information and subsequently separating its setting data information.

[0011] According to the above technical solution, the following steps are included:

[0012] Step S1: Enter and upload the financial statement information of the financial data to be processed, scan and enter the financial statement information of the financial data to be processed, the form-based data sufficiency setting information for the financial data to be processed, and the classified bill data information, organize and package all the information into a block of financial data to be processed for storage and upload to the blockchain storage module;

[0013] Step S2: After the uploader of the pending financial data generates the pending financial data, when it needs to be uploaded for verification, the intelligent classification module intelligently classifies the financial statements that do not require key verification in the pending financial data into form-type data, thereby improving the data loading speed and the smoothness of the financial system;

[0014] Step S3: If the user of the unprocessed financial data needs to obtain high-quality unprocessed financial data, after reaching an agreement with the data uploader to restore the data to billing data, the user can restore the data to billing data in a targeted manner and download the billing data for use.

[0015] According to the above technical solution, step S2 further includes the following steps:

[0016] Step S21: When the uploader of the pending financial data needs to upload the pending financial data for verification, the classification method setting module applies for an upload request to the financial system for the pending financial data;

[0017] Step S22: After the financial system upload request is approved, the financial statement classification module classifies the elements involved in the content of the uploaded and verified financial data to be processed, and identifies all financial statement information that appears in the financial data to be processed;

[0018] Step S23: After finding matching financial statement information by searching and checking the big data in the financial statement information database, further determine the financial statement and the setting information of the sufficiency of the form-based data;

[0019] Step S24: the form-type degree adjustment module classifies each financial report in the financial data to be processed into form-type data according to the financial report information identified by the financial report classification module and the form-type degree information set for the corresponding financial report.

[0020] According to the above technical solution, the calculation formula for the sufficiency of the financial statement classified as form-based data by the form-based degree adjustment module in step S24 is:

[0021]

[0022] Where k is the form-type ratio corresponding to the current financial statement information, which is a constant greater than or equal to 0; n is the occupied capacity of financial data in the current financial statement; e is the sufficiency value of the form-type adjustment module for classifying the financial statement as form-type data; and α is the conversion coefficient of sufficiency, which is a constant value.

[0023] According to the above technical solution, step S3 further includes the following steps:

[0024] Step S31: After the user of the financial data to be processed finds that some of the financial statements that have been classified as form-based data processing in the uploaded financial data to be processed affect the quality of the financial data to be processed, the user obtains a temporary session agreement with the corresponding user through the point-to-point verification module;

[0025] Step S32: After reaching a corresponding agreement through negotiation, the user's personalized needs for data are obtained, and the point-to-point verification module records the agreement content and restores the corresponding financial statements classified as form-type data into bill data.

[0026] According to the above technical solution, the recovery module also includes the following operation method:

[0027] S33: When identifying and classifying financial statements in the financial data to be processed as form-based data, if the corresponding financial statement information matches the financial statement information requirements of the user browsing the system, the corresponding financial statement of the data is automatically restored to bill data;

[0028] S34: The recovery process reminder module obtains a recovery process reminder from the data user;

[0029] S35: When a user views the pending financial data of the uploader of the pending financial data, user authority authentication is first performed;

[0030] S36: Before the download process, on the premise that key financial statements are form-based data, reduce the degree to which other elements are classified as form-based data.

[0031] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, based on the needs of financial data users for financial data, classifies financial statements as form-type data when no focused verification is required, and uses a targeted substantive restoration method to restore some financial statements to bill data when high-quality data is required, and adjusts the degree of sufficiency of the classification as form-type data based on the occupied capacity of the financial data in the financial statements, thereby achieving a dynamic adjustment effect, so that the sufficiency of financial data with high occupied capacity is reduced, and vice versa, the sufficiency is increased, thereby achieving a balance between usage fluency and verification capability. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0033] Figure 1 It is a schematic diagram of the overall module structure of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0035] See also Figure 1 The present invention provides a technical solution: a big data audit identification and classification method, which adopts an identification and classification system to work, and the system includes a blockchain storage module, an intelligent classification module and a restoration module. The blockchain storage module is used to store the financial data information to be processed on the blockchain, the intelligent classification module is used to classify the financial statements of the financial data to be processed into form data, and the restoration module is used to restore the financial statement information of the financial data to be processed into bill data for processing. The intelligent classification module is electrically connected to the restoration module, and the intelligent classification module and the restoration module are both electrically connected to the blockchain storage module;

[0036] The blockchain storage module includes a financial report library, a parameter preset module, and a form-type element temporary storage module. The financial report library is used to store invoice billing style data corresponding to different financial report information on the blockchain. The parameter preset module is electrically connected to the financial report library and is used to store sufficient setting data for classifying financial report information as form-type data. The form-type element temporary storage module is used to temporarily store form-type financial report data that is consistent with the financial report information to prevent loss.

[0037] The intelligent classification module includes a classification method setting module, a financial report classification module and a form-type degree adjustment module. The classification method setting module is used to generate a classification method for form-type data according to the setting when the financial data to be processed is uploaded and verified. The financial report classification module is electrically connected to the classification method setting module. The financial report classification module is used to classify the financial reports to be processed to facilitate classification in different ways. The form-type degree adjustment module is electrically connected to the financial report classification module. The form-type degree adjustment module is used to intelligently classify the financial data to be processed according to the classification of the financial reports and the information content of the financial data to be processed, and adjust the degree of the form-type data.

[0038] The restoration module includes a point-to-point verification module, a targeted restoration module, and a restoration trigger module. The point-to-point verification module is used to establish a temporary point-to-point verification channel between the uploader of the pending financial data and the data user classified as form-based data in the pending financial data. The targeted restoration module is electrically connected to the financial statement classification module. The targeted restoration module is used to automatically restore the data to billing data when it identifies that the financial statement information in the pending financial data matches the data user's usage focus. The restoration trigger module is used to grant the data user permission when it is determined that the data user is capable of restoration.

[0039] The targeted recovery module includes a recovery process reminder module, which is used to remind the corresponding data user of the recovery process in real time; the targeted recovery module also includes a form-type data recovery module, which is electrically connected to the form-type element temporary storage module and is used to restore the financial statements that meet the user's needs for key use to bill data when they appear during the download process;

[0040] The financial statement classification module includes a financial statement identification module and a financial statement segmentation module. The financial statement identification module is used to identify the characteristic information of the financial statement. The financial statement segmentation module is electrically connected to the financial statement identification module. The financial statement segmentation module is used to separate the matching financial statement information in the blockchain storage module, thereby locking the financial statement information and subsequently separating its setting data information.

[0041] The following steps are involved:

[0042] Step S1: Enter and upload the financial statement information of the financial data to be processed, scan and enter the financial statement information of the financial data to be processed, the form-based data sufficiency setting information for the financial data to be processed, and the classified bill data information, organize and package all the information into a block of financial data to be processed for storage and upload to the blockchain storage module;

[0043] Step S2: After the uploader of the pending financial data generates the pending financial data, when it needs to be uploaded for verification, the intelligent classification module intelligently classifies the financial statements that do not require key verification in the pending financial data into form-type data, thereby improving the data loading speed and the smoothness of the financial system;

[0044] Step S3: If the user of the unprocessed financial data needs to obtain high-quality unprocessed financial data, after reaching an agreement with the data uploader to restore the data to billing data, the user can restore the data to billing data and download the data for use;

[0045] Step S2 further includes the following steps:

[0046] Step S21: When the uploader of the pending financial data needs to upload the pending financial data for verification, the classification method setting module applies for an upload request to the financial system for the pending financial data;

[0047] Step S22: After the financial system upload request is approved, the financial statement classification module classifies the elements involved in the content of the uploaded and verified financial data to be processed, and identifies all financial statement information that appears in the financial data to be processed;

[0048] Step S23: After finding matching financial statement information by searching and checking the big data in the financial statement information database, further determine the financial statement and the setting information of the sufficiency of the form-based data;

[0049] Step S24: the form-type adjustment module classifies each financial report in the to-be-processed financial data into form-type data for processing based on the financial report information identified by the financial report classification module and the form-type information set for the corresponding financial report;

[0050] In step S24, the form-type degree adjustment module calculates the degree of sufficiency of the financial statement classified as form-type data using the following formula:

[0051]

[0052] Where k is the form-type ratio value corresponding to the current financial statement information, which is a constant greater than or equal to 0; n is the occupied capacity of financial data in the current financial statement; e is the sufficiency value of the form-type adjustment module for classifying the financial statement as form-type data; α is the conversion coefficient of sufficiency, which is a constant value;

[0053] Step S3 further includes the following steps:

[0054] Step S31: After the user of the financial data to be processed finds that some of the financial statements that have been classified as form-based data processing in the uploaded financial data to be processed affect the quality of the financial data to be processed, the user obtains a temporary session agreement with the corresponding user through the point-to-point verification module;

[0055] Step S32: After reaching a corresponding agreement through negotiation, the user's personalized data requirements are obtained, and the point-to-point verification module records the agreement content and restores the corresponding financial statements classified as form-based data into bill data;

[0056] The recovery module also includes the following run methods:

[0057] S33: When identifying and classifying financial statements in the financial data to be processed as form-based data, if the corresponding financial statement information matches the financial statement information requirements of the user browsing the system, the corresponding financial statement of the data is automatically restored to bill data;

[0058] S34: The recovery process reminder module obtains a recovery process reminder from the data user;

[0059] S35: When a user views the pending financial data of the uploader of the pending financial data, user authority authentication is first performed;

[0060] S36: Before the download process, on the premise that key financial statements are form-based data, reduce the degree to which other elements are classified as form-based data.

[0061] Based on the needs of financial data users for financial data, financial statements are classified as form-based data when no key verification is required. When high-quality data is needed, some financial statements are restored to bill data using substantive restoration methods. In addition, based on the occupied capacity of the financial data in the financial statements, the degree of sufficiency of the data classified as form-based data is adjusted to achieve a dynamic adjustment effect, so that the sufficiency of financial data with high occupied capacity is reduced, and vice versa, the sufficiency is increased, thus achieving a balance between usage fluency and verification capability.

[0062] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0063] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A big data audit identification and classification method, characterized by: The method adopts an identification and classification system to work, which includes a blockchain storage module, an intelligent classification module and a restoration module. The blockchain storage module is used to store the financial data information to be processed in the blockchain, the intelligent classification module is used to classify the financial statements of the financial data to be processed into form data, and the restoration module is used to restore the financial statement information of the financial data to be processed into bill data for processing. The intelligent classification module is electrically connected to the restoration module, and the intelligent classification module and the restoration module are both electrically connected to the blockchain storage module.

2. A big data audit identification and classification method according to claim 1, characterized in that: The blockchain storage module includes a financial report library, a parameter preset module, and a form-type element temporary storage module. The financial report library is used to store invoice billing style data corresponding to different financial report information on the blockchain. The parameter preset module is electrically connected to the financial report library. The parameter preset module is used to store sufficient setting data for classifying financial report information as form-type data. The form-type element temporary storage module is used to temporarily store form-type financial report data that is consistent with the financial report information to prevent loss. The intelligent classification module includes a classification method setting module, a financial report classification module, and a form-type degree adjustment module. The classification method setting module is used to generate a classification method for form-type data according to the setting when the financial data to be processed is uploaded and verified. The financial report classification module is electrically connected to the classification method setting module. The financial report classification module is used to classify the financial data to be processed to facilitate classification in different methods. The form-type degree adjustment module is electrically connected to the financial report classification module. The form-type degree adjustment module is used to intelligently classify the financial data to be processed according to the classification of the financial report and the information content of the financial data to be processed, and adjust the degree of the form-type data. The restoration module includes a point-to-point verification module, a targeted restoration module and a restoration trigger module. The point-to-point verification module is used to establish a temporary point-to-point verification channel between the uploader of the financial data to be processed and the data user classified as form-type data in the financial data to be processed. The targeted restoration module is electrically connected to the financial statement classification module. The targeted restoration module is used to automatically restore to bill data operations when it is identified that the financial statement information in the financial data to be processed matches the usage focus of the data user. The restoration trigger module is used to grant the data user permission when it is determined that the data user is capable of restoration.

3. A big data audit identification and classification method according to claim 2, characterized in that: The targeted restoration module includes a restoration progress reminder module for providing real-time reminders to corresponding data users of the restoration progress; the targeted restoration module also includes a form-type data recovery module, which is electrically connected to the form-type element temporary storage module and is configured to restore the user's financial statements that match the user's financial statements and require key use to bill data when the financial statements appear during the download process; The financial statement classification module includes a financial statement identification module and a financial statement segmentation module. The financial statement identification module is used to identify financial statement feature information. The financial statement segmentation module is electrically connected to the financial statement identification module. The financial statement segmentation module is used to separate matching financial statement information in the blockchain storage module.

4. A big data audit identification and classification method according to claim 3, characterized in that: The following steps are involved: Step S1: Enter and upload the financial statement information of the financial data to be processed, scan and enter the financial statement information of the financial data to be processed, the form-based data sufficiency setting information for the financial data to be processed, and the classified bill data information, organize and package all the information into a block of financial data to be processed for storage and upload to the blockchain storage module; Step S2: After the uploader of the pending financial data generates the pending financial data, when it needs to be uploaded for verification, the intelligent classification module intelligently classifies the financial statements that do not require key verification in the pending financial data into form-type data, thereby improving the data loading speed and the smoothness of the financial system; Step S3: If the user of the unprocessed financial data needs to obtain high-quality unprocessed financial data, after reaching an agreement with the data uploader to restore the data to billing data, the user can restore the data to billing data in a targeted manner and download the billing data for use.

5. A big data audit identification and classification method according to claim 4, characterized in that: The step S2 further includes the following steps: Step S21: When the uploader of the pending financial data needs to upload the pending financial data for verification, the classification method setting module applies for an upload request to the financial system for the pending financial data; Step S22: After the financial system upload request is approved, the financial statement classification module classifies the elements involved in the content of the uploaded and verified financial data to be processed, and identifies all financial statement information that appears in the financial data to be processed; Step S23: After finding matching financial statement information by searching and checking the big data in the financial statement information database, further determine the financial statement and the setting information of the sufficiency of the form-based data; Step S24: the form-type degree adjustment module classifies each financial report in the financial data to be processed into form-type data according to the financial report information identified by the financial report classification module and the form-type degree information set for the corresponding financial report.

6. A big data audit identification and classification method according to claim 5, characterized in that: The calculation formula for the sufficiency of the financial statement classified as form-type data by the form-type adjustment module in step S24 is: Where k is the form-type ratio corresponding to the current financial statement information, which is a constant greater than or equal to 0; n is the occupied capacity of financial data in the current financial statement; e is the sufficiency value of the form-type adjustment module for classifying the financial statement as form-type data; and α is the conversion coefficient of sufficiency, which is a constant value.

7. A big data audit identification and classification method according to claim 6, characterized in that: The step S3 further includes the following steps: Step S31: After the user of the financial data to be processed finds that some of the financial statements that have been classified as form-based data processing in the uploaded financial data to be processed affect the quality of the financial data to be processed, the user obtains a temporary session agreement with the corresponding user through the point-to-point verification module; Step S32: After reaching a corresponding agreement through negotiation, the user's personalized needs for data are obtained, and the point-to-point verification module records the agreement content and restores the corresponding financial statements classified as form-type data into bill data.

8. A big data audit identification and classification method according to claim 7, characterized in that: The recovery module also includes the following operation method: S33: When identifying and classifying financial statements in the financial data to be processed as form-based data, if the corresponding financial statement information matches the financial statement information requirements of the user browsing the system, the corresponding financial statement of the data is automatically restored to bill data; S34: The recovery process reminder module obtains a recovery process reminder from the data user; S35: When a user views the pending financial data of the uploader of the pending financial data, user authority authentication is first performed; S36: Before the download process, on the premise that key financial statements are form-based data, reduce the degree to which other elements are classified as form-based data.

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