A cross-regional business billing method and system based on financial sharing

Abstract

The application discloses a cross-regional business accounting method based on financial sharing, obtains all collected and uploaded document files, and performs analysis: if it is detected that the uploaded document file meets the auditing requirement, the uploaded document file is transmitted to secondary auditing; if it is detected that the uploaded document file does not meet the auditing requirement, the uploaded document file is returned to the collection source; based on the secondary auditing, the uploaded document file meeting the preliminary examination requirement is calibrated: if the secondary auditing requirement is met, a financial voucher file is generated based on the uploaded document file information; if the secondary auditing requirement is not met, the uploaded document file is returned to the collection source. The application realizes online reimbursement of travel expenses, accurate accounting of expenses, shortening of the reporting time length of business departments and the approval time length of leaders, improvement of work efficiency, and reduction of risks such as repeated reimbursement of invoices.

Description

Technical Field

[0001] This invention belongs to the field of financial document processing technology, specifically relating to a cross-regional business expense reporting method and system based on financial sharing. Background Technology

[0002] With the advent of the digital age, new-generation digital technologies such as artificial intelligence, big data, mobile internet, the Internet of Things, and cloud computing have been widely applied to enterprise management, making digital transformation of finance an inevitable trend. Currently, an increasing number of large group enterprises are promoting their digital transformation of finance through the construction of financial shared service centers. As enterprises grow in scale and business models continue to innovate, traditional decentralized financial management models face more and more problems, such as organizational redundancy, high management costs, difficulty in coordination, and the inability to quickly provide data support for management decision-making. Traditional financial management models have become a bottleneck restricting the development of large group enterprises, and the financial shared service model has emerged in this context.

[0003] Currently, enterprises, especially large ones, face significant challenges in expense reimbursement processes due to the geographical limitations of their business distribution, subsidiaries, or branch offices. This often results in frontline employees having to advance funds, which can lead to employee apathy and reduced productivity over time. To address these issues—namely, the inconvenience of offline expense reimbursement, the difficulty in standardizing accounting practices, and the lack of intelligent business processes in cross-regional enterprises—there is an urgent need to design a cross-regional business reimbursement method and system based on financial sharing to resolve these technical problems. Summary of the Invention

[0004] To address the shortcomings of the existing technology, the present invention aims to overcome these deficiencies and provide a cross-regional business expense reimbursement method based on financial sharing, comprising the following:

[0005] Retrieve all collected and uploaded documents for analysis:

[0006] If the uploaded document meets the review requirements, the uploaded document will be transferred to a second review.

[0007] If the uploaded document does not meet the review requirements, the uploaded document will be returned to the data collection source.

[0008] Based on the second review, the uploaded document documents that meet the requirements of the initial review are marked as follows:

[0009] If the secondary review requirements are met, a financial voucher file will be generated based on the uploaded document information.

[0010] If the second review requirements are not met, the uploaded document will be returned to the data collection source.

[0011] As a further optimization of the above solution, the acquisition of the uploaded document includes the following:

[0012] Detect any uploaded document collection command;

[0013] Based on the command, take a picture of any uploaded document and perform detection on the captured image:

[0014] If the captured image meets the acquisition requirements, the captured image is stored to generate an upload document for information analysis.

[0015] If the captured image does not meet the acquisition requirements, the current image acquisition will end.

[0016] As a further optimization of the above scheme, the method for detecting the captured image includes the following:

[0017] Acquire the image capture area after receiving the document capture instruction;

[0018] The image capture area is configured to consist of a control area and a generation area. Based on the image capture area, images are captured and their content is detected.

[0019] If no data is detected in the control area, the current image acquisition process ends.

[0020] If data is detected in the control area, the readable information of the control area is recorded based on the image information of the control area, and a control area file is formed.

[0021] Continue to detect the content of the captured image, store the readable information of the generated area, and form a generated area file.

[0022] As a further optimization of the above scheme, before storing the readable information of the generated area to form the generated area file, the following is also included:

[0023] The captured image content is processed into a machine-written image;

[0024] Based on the machine-written image, all pixels are traversed, and all black pixels of the machine-written image are projected onto the vertical axis. Let the coordinates of any black pixel be ( , Then the corresponding projected coordinates for:

[0025] ;

[0026] In the above formula, Represented as deflection angle; records all completed vertical axis projections. The quantity n;

[0027] Based on statistics Calculate the probability value of any projected coordinate for the quantity n. , ;

[0028] Calculate the mathematical expectation of the projected coordinates ;

[0029] The mathematical variance of the projected coordinates is ;

[0030] in, It is represented as the product of each projected coordinate and its corresponding projected coordinate probability value. It is represented as the difference between the current projected coordinate value and its mathematical expectation.

[0031] As a further optimization of the above solution, the method also includes the following:

[0032] Construct deflection angle The deflection threshold [-a, a] is calculated based on equation (3) for all deflection angles within the deflection threshold. The corresponding mathematical variance;

[0033] Based on each deflection angle Generate a variance-deflection angle line graph based on the corresponding mathematical variance; then plot the deflection angle... As variables, construct a quadratic function to fit the mathematical variance:

[0034]

[0035] In the above formula, , and The coefficients of the quadratic function fitted to the mathematical variance;

[0036] Find the minimum mathematical variance, which corresponds to the perfect deflection angle. , place Then the perfect deflection angle The deflection angle value of the captured image. .

[0037] As a further optimization of the above solution, the method also includes the following:

[0038] Based on the text content of the comparison area file and the generation area file, corresponding files are generated. , and Array-like;

[0039] Set the trigger key value for each type of array, denoted as follows: , , ;

[0040] Suppose that... =Life ,right =Life ,…,right =Life ;right =Life +Life +…+Life ;right (born ,born ,…,born );

[0041] Where a, b, and c represent the number of trigger key values ​​contained in the corresponding array, for Obtained for the control region Value, life Acquired for the generation region Value, life For generation area In arrays Trigger the first item of the key value;

[0042] The uploaded document is inspected. Based on the trigger key value of each array type, the text content of the comparison area file and the generation area file are written according to the set trigger key value. If the trigger key value of the comparison area file and the generation area file matches successfully, it is set to 1, and if it fails, it is set to 0. Then, the write operation result is checked.

[0043] like If any matching value 0 exists in the array, the current write operation is marked as invalid, and the uploaded document is returned to the data source.

[0044] like Arrays and If the array successfully matches a value greater than the first threshold, the uploaded document is transmitted to the secondary review; otherwise, the uploaded document is returned to the data collection source.

[0045] As a further optimization of the above scheme, the first threshold determination includes the following:

[0046] set up Arrays and All weights of the array class are respectively and , The weight of a failed match for an array-like object is , The weight of a failed match for an array-like object is Then the first threshold Characterized as:

[0047]

[0048] As a further optimization of the above solution, the The array is set with a special trigger key value. If the special trigger key value is greater than the second threshold, the uploaded document will be transmitted to the secondary review.

[0049] This invention also discloses a cross-regional business expense reimbursement system based on financial sharing, the system comprising the following:

[0050] The document acquisition module is used to retrieve all collected and uploaded document files.

[0051] The document analysis module is used to analyze all collected and uploaded document files.

[0052] If the uploaded document meets the review requirements, the uploaded document will be transferred to a second review.

[0053] If the uploaded document does not meet the review requirements, the uploaded document will be returned to the data collection source.

[0054] The invoice review module is used to mark uploaded invoice documents that meet the initial review requirements based on a second review.

[0055] If the secondary review requirements are met, a financial voucher file will be generated based on the uploaded document information.

[0056] If the second review requirements are not met, the uploaded document will be returned to the data collection source.

[0057] A computer-readable storage medium for storing a computer program or code that, when executed by a processor, implements the cross-regional business expense reimbursement method based on financial sharing as described in any one of the claims.

[0058] The present invention adopts the above-described technical solution, and compared with the prior art, it has the following beneficial effects:

[0059] 1. To address the aforementioned challenges of inconvenient offline expense reimbursement, inconsistent accounting standards, and unintelligent business processes in cross-regional enterprises, this invention proposes a cross-regional expense reimbursement method based on financial sharing. This method involves initial review of employee-uploaded documents. If the document meets the reimbursement process requirements, it is pushed to a human for rapid review and approval. If anomalies are detected in the reimbursement materials, this invention intelligently processes them, assisting employees in quickly correcting the errors and completing the reimbursement process efficiently. This invention enables online travel expense reimbursement, accurate expense calculation, reduced submission time for business departments and approval time for leaders, improved work efficiency, and reduced risks such as duplicate invoice reimbursement.

[0060] 2. Before approving expense reports, this invention designs an image planning method, which separates the expense report and invoice for identification and detection. That is, if no reference area is detected during image acquisition, it indicates that the current operation lacks an expense report, and the current image entry is invalid. Employees can self-correct and re-operate based on the feedback. If the reference area is successfully identified, a reference area file is generated based on the identified reference area to record the expense report.

[0061] 3. This invention takes into account that during the image capture process, the uncontrollable operation of employees may lead to large deviations in expense reports or invoices, which is not conducive to the formation of effective record files. Therefore, it innovatively proposes a method that can adjust the image settings in real time to facilitate the formation of stable and effective record files, which greatly improves the efficiency of electronic auditing in the expense reimbursement process and reduces unnecessary invalid inputs and invalid detections.

[0062] 4. The present invention provides a fault tolerance threshold, namely a first threshold, which allows for partial key-value matching anomalies in similar situations. Within the allowable range, the data is still considered valid. The second review strengthens the review of this part. On the one hand, it can ensure the effective operation of the employee reimbursement process. On the other hand, through the intelligent review mechanism, it can perform error correction and screening in advance and mark abnormal items within a reasonable range, which facilitates the second review process and has good results.

[0063] 5. The special trigger key value of this invention is manually assigned, that is, manually labeled. When this part is identified, an additional second threshold matching is performed. When it is outside the range of the second threshold matching, the secondary review will be directly activated, and the current reimbursement process will be directly pushed to the secondary review. This helps to strengthen the review attention to special events and effectively improve the review efficiency. Attached Figure Description

[0064] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0065] Figure 1 This is a schematic diagram of the process of the present invention;

[0066] Figure 2 This is another schematic diagram of the process of the present invention;

[0067] Figure 3 This is another schematic diagram of the process of the present invention. Detailed Implementation

[0068] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0069] like Figure 1-3As shown in the figure, this invention discloses a cross-regional business expense reimbursement method based on financial sharing, which specifically includes the following steps:

[0070] Retrieve all collected and uploaded documents for analysis:

[0071] If the uploaded document meets the review requirements, the uploaded document will be transferred to a second review.

[0072] If the uploaded document does not meet the review requirements, the uploaded document will be returned to the data collection source.

[0073] Based on the second review, the uploaded document documents that meet the requirements of the initial review are marked as follows:

[0074] If the secondary review requirements are met, a financial voucher file will be generated based on the uploaded document information.

[0075] If the second review requirements are not met, the uploaded document will be returned to the data collection source.

[0076] Specifically, in the current process of expense reimbursement, especially for large enterprises, the geographical limitations of business distribution and subsidiaries or branch offices make reimbursement difficult and inefficient. This often results in frontline employees having to pay in advance, which can lead to employee apathy and reduced productivity over time. To address the aforementioned problems of inconvenience, difficulty in standardizing accounting, and lack of intelligent business processes in cross-regional enterprises, this invention proposes a cross-regional business reimbursement method based on financial sharing. This method involves initial review of employee-uploaded documents. If the document meets the reimbursement process requirements, it is pushed to a human for rapid approval. If anomalies are detected in the reimbursement materials, this invention can intelligently process them, assisting employees in quickly correcting them and completing the reimbursement process efficiently. This invention enables online travel reimbursement, accurate expense calculation, reduced submission time for business departments and approval time for leaders, improved work efficiency, and reduced risks such as duplicate invoice reimbursement.

[0077] Specifically, obtaining the uploaded document documents includes the following:

[0078] Detect any uploaded document collection command;

[0079] Based on the command, take a picture of any uploaded document and perform detection on the captured image:

[0080] If the captured image meets the acquisition requirements, the captured image is stored to generate an upload document for information analysis.

[0081] If the captured image does not meet the acquisition requirements, the current image acquisition will end.

[0082] Specifically, the method for detecting the captured image includes the following:

[0083] Acquire the image capture area after receiving the document capture instruction;

[0084] The image capture area is configured to consist of a control area and a generation area. Based on the image capture area, images are captured and their content is detected.

[0085] If no data is detected in the control area, the current image acquisition process ends.

[0086] If data is detected in the control area, the readable information of the control area is recorded based on the image information of the control area, and a control area file is formed.

[0087] Continue to detect the content of the captured image, store the readable information of the generated area, and form a generated area file.

[0088] More specifically, before approving expense reports, this invention designs an image planning method that separately identifies and detects expense reports and invoices. Specifically, during image acquisition, if no reference area is detected, it indicates that the current operation lacks an expense report, rendering this round of image entry invalid. Employees can self-correct and re-operate based on feedback. If the reference area is successfully identified, a reference area file is generated to record the expense report. Similarly, a corresponding reference area file can be generated to record the invoice. Since the expense report is a key information extraction in the expense reimbursement process, the resulting expense report contains less information and highlights the four essential elements compared to an invoice, making it easier for technical processing. It is particularly noteworthy that if the current image acquisition ends, this invention supports prompting employees with operational errors via electronic information or voice broadcast. Since this technology is a conventional warning technique, it will not be detailed here.

[0089] Specifically, before storing the readable information of the generated area to form the generated area file, the following steps are also included:

[0090] The captured image content is processed into a machine-written image. It should be noted that, since it is necessary to process expense reports or invoices through an intelligent solution, it is necessary to process the captured image into a style that is easy for the machine to recognize and has high accuracy. As a technical means of the present invention, the present invention uses grayscale value processing to process the image, and then performs binarization processing to form a machine-written image with high contrast and few interference colors for further processing.

[0091] Based on the machine-written image, all pixels are traversed, and all black pixels of the machine-written image are projected onto the vertical axis. Let the coordinates of any black pixel be ( , Then the corresponding projected coordinates for:

[0092] ;

[0093] In the above formula, Represented as deflection angle; records all completed vertical axis projections. The quantity n;

[0094] Based on statistics Calculate the probability value of any projected coordinate for the quantity n. , ;

[0095] Calculate the mathematical expectation of the projected coordinates ;

[0096] The mathematical variance of the projected coordinates is ;

[0097] in, It is represented as the product of each projected coordinate and its corresponding projected coordinate probability value. It is represented as the difference between the current projected coordinate value and its mathematical expectation.

[0098] Construct deflection angle The deflection threshold [-d, d] is used to calculate all deflection angles within the deflection threshold based on equation (3). The corresponding mathematical variance;

[0099] Based on each deflection angle Generate a variance-deflection angle line graph based on the corresponding mathematical variance; then plot the deflection angle... As variables, construct a quadratic function to fit the mathematical variance:

[0100]

[0101] In the above formula, , and The coefficients of the quadratic function fitted to the mathematical variance;

[0102] Find the minimum mathematical variance, which corresponds to the perfect deflection angle. , place Then the perfect deflection angle The deflection angle value of the captured image. This invention addresses the issue that during image capture, uncontrollable employee actions can lead to large offsets in expense reports or invoices, hindering the creation of effective record files. Therefore, it innovatively proposes a method that can adjust image settings in real-time to facilitate the formation of stable and effective record files. This significantly improves the efficiency of electronic auditing in the expense reimbursement process and reduces unnecessary invalid inputs and checks.

[0103] Specifically, the design method of this invention also includes the following:

[0104] Based on the text content of the comparison area file and the generation area file, corresponding files are generated. , and Array-like;

[0105] Set the trigger key value for each type of array, denoted as follows: , , ;

[0106] Suppose that... =Life ,right =Life ,…,right =Life ;right =Life +Life +…+Life ;right (born ,born ,…,born );

[0107] Where a, b, and c represent the number of trigger key values ​​contained in the corresponding array, for Obtained for the control region Value, life Acquired for the generation region Value, life For generation area In arrays The first item of the trigger key value can be used to derive other parameter information.

[0108] It should be noted that, based on the data characteristics of expense reports and invoices, this invention divides them into three types of arrays. The array-like structure primarily stores key identifying information about the invoice, such as the buyer's name and the invoice type. Arrays primarily store information such as invoice amount and number of invoices; The array-like structure mainly stores information such as the seller, invoice number, and date. Based on the above information division, employees can fill out the expense report according to the preset expense report format. Moreover, the comprehensive information has a strict correspondence with the invoice documents. Based on the above design, this invention splits and classifies the complex expense report data and invoice document information into new arrays for storage, which facilitates subsequent accurate analysis and data organization.

[0109] The uploaded document is inspected. Based on the trigger key value of each array type, the text content of the comparison area file and the generation area file are written according to the set trigger key value. The trigger key value of the comparison area file and the generation area file is set to 1 for successful matching and 0 for failure. Then the write operation result is checked.

[0110] like If any matching value 0 exists in the array, the current write operation is marked as invalid, and the uploaded document is returned to the data source.

[0111] like Arrays and If the array successfully matches a value greater than the first threshold, the uploaded document is transmitted to the secondary review; otherwise, the uploaded document is returned to the data collection source.

[0112] Specifically, when detecting uploaded documents, this invention writes the data based on expense report data and invoice information according to the set trigger key value, and through the correspondence of different arrays given above, it can quickly determine the identification status of the comparison area and the generation area and make clear marks.

[0113] This invention provides a specific embodiment. For example, if the company name collected in the comparison area is Company A and the company name collected in the generation area is Company A1, then due to the determinacy of invoice elements, it indicates that the current invoice document and expense report cannot match, which may indicate that an incorrect invoice was provided or an identification anomaly, requiring the employee to be notified for corresponding processing. If the total amount of the expense report filled in by the employee is Count1, and the total amount of the invoice document collected in the generation area is Count2, since Count1 and Count2 do not match, it indicates that the employee's expense report amount does not match the provided invoice amount or an identification anomaly, requiring focused review. In particular, based on this situation, the invention provides a fault tolerance threshold, namely a first threshold, which allows for some key-value matching anomalies in similar situations. Within the allowable range, it is still considered a valid entry, and the review is strengthened through secondary review. On the one hand, it can ensure the effective operation of the employee's expense report process, and on the other hand, through the intelligent review mechanism, it can perform error correction and screening in advance, and mark the abnormal items within a reasonable range, which facilitates the secondary review process and has good results.

[0114] Specifically, the first threshold determination includes the following:

[0115] set up Arrays and All weights of the array class are respectively and , The weight of a failed match for an array-like object is , The weight of a failed match for an array-like object is Then the first threshold Characterized as:

[0116]

[0117] More specifically, the present invention addresses... Arrays and By assigning weights to arrays, the efficiency of matching exception handling in this invention is improved, ensuring that the reimbursement process for employees can proceed effectively within a reasonable range.

[0118] This invention provides another embodiment in which, during the matching process of the generated region, the invention detects partial matching failures, such as... The array-like object has 5 matching events, with 2 successful matching events; If the array contains 10 matching events and 4 matching events are successful, then according to the first threshold... Matching formula, current The success factor for matching array-like objects is 0.5. Arrays and The overall matching success factor of the array is 0.6, which meets the first threshold requirement. This indicates that there is an anomaly in the matching under this condition, but it does not affect the reimbursement process and can be optimized and adjusted through secondary review.

[0119] Specifically, The class array is set with a special trigger key value. If the special trigger key value is greater than a second threshold, the uploaded document is transmitted to the secondary review. The special trigger key value of this invention is manually assigned, that is, manually marked. When this part is identified, an additional second threshold matching is performed. When it is outside the second threshold matching range, the secondary review is directly activated. This invention provides an embodiment for illustration. The amount of a single invoice can be preset not to exceed Count3. However, if after matching the generation area, there are single invoices with amounts exceeding Count3, the current reimbursement process is directly pushed to the secondary review, which helps to strengthen the review focus on special events and effectively improve review efficiency. It should be noted that the special trigger key value of this invention can be marked for abnormal data, error-prone points, or other keywords, and there is a corresponding second threshold range according to different marking targets. It will not be described in detail here. Those skilled in the art should be able to understand and master this technology based on the description of this embodiment. The image-to-text conversion of this invention is a conventional technology and will not be described in detail here.

[0120] This invention also discloses a cross-regional business expense reimbursement system based on financial sharing, the system comprising the following:

[0121] The document acquisition module is used to retrieve all collected and uploaded document files.

[0122] The document analysis module is used to analyze all collected and uploaded document files.

[0123] If the uploaded document meets the review requirements, the uploaded document will be transferred to a second review.

[0124] If the uploaded document does not meet the review requirements, the uploaded document will be returned to the data collection source.

[0125] The invoice review module is used to mark uploaded invoice documents that meet the initial review requirements based on a second review.

[0126] If the secondary review requirements are met, a financial voucher file will be generated based on the uploaded document information.

[0127] If the second review requirements are not met, the uploaded document will be returned to the data collection source.

[0128] It should be noted that another embodiment of the present invention, a cross-regional business reimbursement system based on financial sharing, uses the same technical means as a cross-regional business reimbursement method based on financial sharing, and therefore will not be described in detail here.

[0129] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. A cross-regional business billing method based on financial sharing, characterized in that, Comprising the following: Obtain all collection upload document, analysis: The acquisition of the upload document includes the following: Detect any upload document collection instruction; Based on the instruction, take any upload document, detect the image: If the image meets the collection requirements, store the image to generate an upload document, and analyze the information; If the image does not meet the collection requirements, end the current image collection; If the upload document meets the audit requirements, transmit the upload document to the secondary audit; If the upload document does not meet the audit requirements, return the upload document to the collection source; Based on the secondary audit, calibrate the upload document that meets the preliminary audit requirements: If it meets the secondary audit requirements, generate a financial voucher file based on the upload document information; If it does not meet the secondary audit requirements, return the upload document to the collection source; The method for detecting the image includes the following: Obtain the image capture area after receiving the document collection instruction; Set the image capture area to consist of a comparison area and a generation area, capture the image based on the image capture area, and detect the image content: If no data is detected in the comparison area, end the current image collection; If data is detected in the comparison area, record the readable information of the comparison area based on the image information of the comparison area, and form a comparison area file; Continue to detect the image content, store the readable information of the generation area, and form a generation area file; Before storing the readable information of the generation area to form the generation area file, it further includes the following: Process the image content into a machine-written image; Based on the machine writing image, all pixel points are traversed, all black pixels of the machine writing image are respectively projected on the vertical axis, assuming that any black pixel coordinate is (x, y) , ), then the corresponding projection coordinate is: ； In the above formulae, is expressed as a deflection angle; record the number n of all completed longitudinal axis projections of the number n; Based on the statistics obtained The number n, calculating any projection coordinate probability value , ; Computing the mathematical expectation of the projected coordinates ; The mathematical variance of the projected coordinates is then ; Constructing the deflection angle of the deflection threshold [-d, d] based on equation (3) to calculate all deflection angles within the deflection threshold the corresponding mathematical variance; based on each deflection angle and the corresponding mathematical variance, a variance-deflection angle line graph is generated; the deflection angle as a variable, a quadratic function is constructed to fit the mathematical variance ； In the above formula, , and are the coefficients of the quadratic function fitted to the mathematical variance; Obtaining the minimum mathematical variance corresponds to the perfect deflection angle , set The perfect deflection angle The deflection angle value of the photographed image, .

2. The cross-regional business accounting method based on financial sharing according to claim 1, further comprising the following: corresponding to the generation of , and arrays The trigger key value of each type of array is set, respectively denoted as , , ; Let = life , for = life , …, for = life ; for = life + life + … + life ; for ( life , life , …, life ) ; Wherein a, b, c are the number of trigger key values contained in the corresponding array, and The value obtained from the control area The value obtained from the control area The value obtained from the control area The value obtained from the control area The value obtained from the control area The first item of the trigger key value in the array The first item of the trigger key value in the array Detect the upload document, and based on the trigger key value of each type of array, respectively write the text content of the comparison area file and the generation area file according to the set trigger key value. If the trigger key values of the comparison area file and the generation area file match successfully, it is 1, otherwise it is 0. Then, detect the write operation result: If If any of the match values 0 exist, flag the current write operation as invalid and return the uploaded document to the source of collection. If The class array and If the class array successfully matches greater than a first threshold, the uploaded document is transmitted to a secondary review; otherwise the uploaded document is returned to the source of collection.

3. The cross-regional business accounting method based on financial sharing according to claim 2, wherein the first threshold judgment includes the following: Set Class array and All weights of the class array are respectively And , The failure matching weight of the class array is , The failure matching weight of the class array is The first threshold value Characterized by:

4. The cross-regional business billing method based on financial sharing according to claim 3, wherein the The special trigger key value is set for the class array, and if the special trigger key value is greater than the second threshold value, the uploaded bill document is transmitted to secondary review.

5. A cross-regional business billing system based on financial sharing, applied to the method of any one of claims 1-4, characterized in that, The system includes the following: A document collection module for obtaining all collection upload documents; A document analysis module for analyzing all collection upload documents; If the upload document meets the audit requirements, transmit the upload document to the secondary audit; If the upload document does not meet the audit requirements, return the upload document to the collection source; A bill audit module for calibrating the upload document that meets the preliminary audit requirements based on the secondary audit: If it meets the secondary audit requirements, generate a financial voucher file based on the upload document information; If it does not meet the secondary audit requirements, return the upload document to the collection source.

6. A computer readable storage medium for storing a computer program or code, characterized in that, When the computer program or code is executed by the processor, the cross-regional business accounting method based on financial sharing according to any one of claims 1 to 4 is realized.

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