A bill self-delivery control system for self-service reimbursement

Abstract

The present invention relates to the technical field of self-service bill delivery control, and specifically discloses a self-service bill delivery control system for self-service reimbursement. The system is provided with a user upload and approval module, a bill recheck and calculation module, a sorting, printing and matching module, and a bill database. By obtaining reasonable bill calculation data parameters, the present invention screens qualified tax bills to ensure that the data used during tax filing is correct, which helps to avoid tax filing errors and related tax risks. It solves the problem of neglecting to conduct image review and evaluation of the delivered bills based on the obtained bill image data parameters, screens the qualified image bills, solves the problem of deviation caused by unqualified bills in self-service reimbursement, reduces the possibility of incorrect reimbursement caused by blurred, incomplete or non-standard bills, and improves the efficiency of reimbursement and the reliability of the entire self-service bill delivery system for self-service reimbursement.

Description

Technical Field

[0001] The present invention relates to the technical field of bill self-service delivery control, and particularly to a bill self-service delivery control system for self-service reimbursement. Background Art

[0002] The bill self-service delivery control technology is an important technology for self-service reimbursement by uploading bills to the tax system for approval and accounting. By obtaining reasonable bill accounting data parameters to screen qualified tax bills, it ensures that the data used for tax filing is correct, helps avoid tax filing errors and related tax risks. The automated bill screening process can save a large amount of time and labor. Reasonably set bill accounting data parameters, combined with automation technology, can quickly and efficiently screen out tax bills that meet the standards, reducing the time and cost of manual processing. Through the automated bill screening process, the chance of human intervention is reduced, and the probability of errors is lowered. Qualified tax bills are more easily screened and identified correctly, reducing the risk of data entry and processing errors. By screening qualified tax bills, it can better ensure that the financial and tax activities of enterprises comply with regulations and tax laws, reducing potential legal risks.

[0003] For example, the invention patent with the publication number: CN112650094B discloses an intelligent financial robot and an AI control system, which are used to solve the problems of low efficiency and long time in manually pasting invoices in the existing finance. It includes a storage module, an identification module, a processing module, a statistics module, and an execution module. After receiving the folding instruction, the execution module in this invention folds the invoice to be pasted. The execution module is used to apply glue to one end of the invoice to be pasted, the folded invoice, or the reimbursement form and paste it on the invoice sticker. By identifying the invoice and pasting it on the invoice sticker, it solves the problems of low efficiency and long time in manually pasting invoices in the existing finance. Through the intelligent analysis of the intelligent financial robot, the working value of the intelligent financial robot is obtained, and the intelligent financial robot is controlled to shut down through the working value to avoid overuse of the intelligent financial robot and affect its service life.

[0004] Based on the above solutions, it is found that currently, there are still some deficiencies in the bill self-service delivery control system for self-service reimbursement. Specifically, the current bill self-service delivery system for self-service reimbursement is limited to screening qualified tax bills by obtaining reasonable bill accounting data parameters, ignoring the image review and evaluation of the delivered bills through the obtained bill image data parameters, and then screening the qualified image bills, resulting in deviations caused by unqualified bills in self-service reimbursement, which may lead to incorrect reimbursements due to blurred, incomplete, or non-standard bills, and also delays the entire self-service reimbursement process, reducing the efficiency of reimbursement and the reliability of the entire bill self-service delivery system for self-service reimbursement. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a self-service delivery control system for bills for self-service reimbursement, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A self-service delivery control system for bills for self-service reimbursement, including: a user upload and approval module, which is used to, after the user fills out a form for reimbursement and pastes the bills, self-service delivers and uploads the bills to the imaging system, and based on the obtained bill image data set, conducts image review and evaluation on the delivered bills to obtain a bill image review and evaluation value, and screens out qualified image bills.

[0007] A bill re-review and calculation module uploads the bills that have passed the image review and evaluation to the tax system for re-review and calculation, obtains a tax re-review and calculation evaluation value based on the obtained bill calculation data set, and screens out qualified tax bills.

[0008] A sorting, printing and matching module sorts physical bills according to business types and prints receipt and payment vouchers, generates specified labels according to the bill image data set and the bill calculation data set, and conducts three-way matching.

[0009] A bill database is used to store the bill image review reference evaluation value, the tax re-review and calculation reference evaluation value, the total reference amount of taxes to be paid for bills corresponding to the deviation range of each tax re-review and calculation evaluation value, the accounting vouchers and bank receipts corresponding to each specified label.

[0010] As a further solution, after the user fills out a form for reimbursement and pastes the bills, self-service delivers and uploads the bills to the imaging system, and based on the obtained bill image data set, conducts image review and evaluation on the delivered bills to obtain a bill image review and evaluation value. The specific analysis process includes: the user fills out a form for reimbursement and pastes the bills, self-service delivers the bills and uploads the bills to the imaging system.

[0011] Obtain a bill image data set, including bill appearance image data and bill security image data. Among them, the bill appearance image data includes bill identification number characters, bill identification number character lengths, bill identification number character color saturations, bill validity days, and the bill security image data includes bill seal color saturations, bill seal shapes and the coincidence ratio with the standard bill seal shape, bill seal institution code character lengths, bill seal institution code characters.

[0012] Based on the obtained bill appearance image data and bill security image data, a comprehensive analysis is conducted to obtain a bill image review and evaluation value, which is used to integrate and quantify the bill image data, conduct review and evaluation on the bill image data, and serve as the analysis basis for confirming qualified image bills.

[0013] As a further solution, screen qualified image bills. The specific analysis process is as follows: Based on the obtained bill image review and evaluation value, compare the bill image review and evaluation value with the bill image review reference evaluation value stored in the bill database.

[0014] If the bill image review and evaluation value of the bill is lower than the bill image review reference evaluation value, mark the bill as an unqualified image bill, return the unqualified image bill, and give an image unqualified prompt for the bill. Otherwise, mark the bill as a qualified image bill, and the bill passes the image review and evaluation.

[0015] As a further solution, upload the bills that have passed the image review and evaluation to the tax system for re-audit and calculation, and obtain the tax re-audit and calculation evaluation value based on the obtained bill calculation data set. The specific analysis process is as follows: Upload the bills that have passed the image review and evaluation to the tax system, and conduct re-audit and calculation on the bills that have passed the image review and evaluation.

[0016] Obtain the bill calculation data set, including bill amount calculation data and bill tax calculation data. The bill amount calculation data includes the bill face amount and the tax reduction amount for each item of the bill. The bill tax calculation data includes the tax rate for each item of tax of the bill and the total amount of tax to be paid for the bill.

[0017] Based on the obtained bill amount calculation data and bill tax calculation data, comprehensively analyze to obtain the tax re-audit and calculation evaluation value, which is used to integrally quantify the bill tax calculation data, conduct re-audit and calculation evaluation on the bill tax calculation data, and serve as the analysis basis for confirming qualified tax bills.

[0018] As a further solution, screen the qualified tax bills. The specific analysis process is as follows: Based on the obtained tax re-audit and calculation evaluation value, compare the tax re-audit and calculation evaluation value with the tax re-audit and calculation reference evaluation value stored in the bill database.

[0019] Based on the obtained deviation value of the tax re-audit and calculation evaluation value and the tax re-audit and calculation reference evaluation value, compare the obtained deviation value of the tax re-audit and calculation evaluation value with the deviation range of the tax re-audit and calculation evaluation value to obtain the total reference amount of tax to be paid for the bill corresponding to the deviation range of the compared tax re-audit and calculation evaluation value.

[0020] If the total amount of tax to be paid for the bill is higher than the total reference amount of tax to be paid for the bill corresponding to the deviation range of the compared tax re-audit and calculation evaluation value, mark the bill as a qualified tax bill. Otherwise, mark the bill as an unqualified tax bill, return the unqualified tax bill, and give a tax unqualified prompt for the bill.

[0021] As a further solution, physical bills are sorted by business type and receipt and payment vouchers are printed. The specific analysis process is as follows: The business types specifically include check transactions, bill of exchange operations, letter of credit operations, bank remittance operations, commercial bills, debit card and credit card transactions.

[0022] Sort the physical bills of qualified tax bills by business type. According to the recognized and verified bill image dataset and bill accounting dataset, generate corresponding receipt and payment vouchers, and print the generated receipt and payment vouchers through a printing device.

[0023] Audit and approve the printed receipt and payment vouchers, and file and archive the printed receipt and payment vouchers.

[0024] As a further solution, generate specified labels according to the bill image dataset and bill accounting dataset. The specific analysis process is as follows: Obtain the bill identification number characters, bill seal institution code characters, bill face amount, and tax rates of various taxes on the bill in the bill image dataset and bill accounting dataset of qualified tax bills.

[0025] Generate specified labels from the bill identification number characters, bill seal institution code characters, bill face amount, and tax rates of various taxes on the bill of qualified tax bills, and use the generated specified labels as the basis for three-way matching of qualified tax bills.

[0026] As a further solution, perform three-way matching. The specific analysis process is as follows: Based on the specified labels generated from the bill identification number characters, bill seal institution code characters, bill face amount, and tax rates of various taxes on the bill in the bill image dataset and bill accounting dataset of qualified tax bills, match the specified labels with the accounting vouchers and bank receipts corresponding to each specified label stored in the bill database to obtain the accounting vouchers and bank receipts corresponding to the qualified tax bills, and complete the three-way matching.

[0027] As a further solution, the bill image audit and evaluation value. The specific analysis process is as follows: 。

[0028] In the formula, is the bill image audit and evaluation value, is the bill appearance image evaluation value, is the bill security image evaluation value, is the weight factor of the set bill appearance image evaluation value, is the weight factor of the set bill security image evaluation value.

[0029] As a further solution, the tax re-audit and calculation evaluation value. The specific analysis process is as follows: 。

[0030] In the formula, is the tax review and calculation evaluation value, is the bill amount calculation evaluation value, is the bill tax calculation evaluation value, is the set weight factor of the bill amount calculation evaluation value, is the set weight factor of the bill tax calculation evaluation value.

[0031] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By providing a bill self-delivery control system for self-service reimbursement, the present invention obtains reasonable bill calculation data parameters to screen qualified tax bills, which helps to avoid tax filing errors and related tax risks. The automated bill screening process can save a large amount of time and labor, reduce the chance of human intervention, lower the probability of errors, better ensure that the financial and tax activities of enterprises comply with regulations and tax laws, and reduce potential legal risks.

[0032] (2) By analyzing the bill image data parameters to conduct image review and evaluation on the delivered bills, and then screening the qualified image bills, the present invention reduces the deviation caused by unqualified bills in self-service reimbursement, reduces the possibility of incorrect reimbursement caused by blurred, incomplete or non-standard bills, and improves the efficiency of reimbursement and the reliability of the entire bill self-delivery control system for self-service reimbursement.

[0033] (3) By generating specified labels and performing three-way matching based on the bill image data set and the bill calculation data set, through the bill image data set, the information on the bill can be extracted and identified. Combining with the bill calculation data set ensures the accuracy of key information, reduces errors caused by data mismatch. By comparing the three types of documents, potential fraud behaviors can be discovered, which helps to improve the alertness to abnormal transactions and also helps to ensure the compliance of financial transactions. Automatically generating specified labels and performing three-way matching can greatly improve work efficiency. The traditional manual matching process may be time-consuming and error-prone, while automation can complete a large number of matching operations in a shorter time. Through three-way matching, costs can be better controlled, inconsistencies and anomalies can be detected in a timely manner, and it helps to avoid additional costs caused by incorrect payments or fraud behaviors. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the following drawings without creative efforts.

[0035] Figure 1 is the system module connection schematic diagram of the present invention. Detailed implementation manners

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0037] Please refer to Figure 1 , the embodiments of the present invention provide a technical solution for self-service delivery control of bills for self-service reimbursement: a self-service delivery control system for bills for self-service reimbursement, including a user upload and approval module, a bill review and calculation module, a sorting, printing and matching module, and a bill database.

[0038] The user upload and approval module is used to, after the user fills in the form for reimbursement and pastes the bills, self-service delivers and uploads the bills to the imaging system, perform imaging review and evaluation on the delivered bills based on the obtained bill image data set, obtain a bill image review and evaluation value, and screen out qualified image bills.

[0039] Specifically, after the user fills in the form for reimbursement and pastes the bills, self-service delivers and uploads the bills to the imaging system, perform imaging review and evaluation on the delivered bills based on the obtained bill image data set, obtain a bill image review and evaluation value, and the specific analysis process includes: the user fills in the form for reimbursement and pastes the bills, self-service delivers the bills and uploads the bills to the imaging system.

[0040] Obtain a bill image dataset, including bill appearance image data and bill security image data. The bill appearance image data includes bill identification number characters. The bill identification number is usually a unique identifier used to uniquely identify a bill and typically includes some common character types such as digits and letters. The character length of the bill identification number refers to the number of digits of the bill identifier characters. The color saturation of the bill identification number characters refers to the saturation level of the color of the bill identification number characters. The number of days of the bill validity period refers to the duration of the bill validity period. The bill security image data includes the color saturation of the bill seal. The color saturation of the bill seal refers to the saturation level of the color of the bill seal. The coincidence ratio of the bill seal shape and the standard bill seal shape usually refers to the similarity degree in appearance and shape between the two. Obtain the coincidence ratio of the bill seal shape and the standard bill seal shape. The character length of the bill seal institution code refers to the number of digits of the seal institution code characters. The bill seal institution code characters are usually a unique identifier used to identify the bill seal institution and typically include some common character types such as digits and letters.

[0041] Based on the obtained bill appearance image data and bill security image data, comprehensively analyze to obtain a bill image review and evaluation value, which is used to integrate and quantify the bill image data, review and evaluate the bill image data, and serve as the analysis basis for confirming qualified image bills.

[0042] Specifically, screen qualified image bills. The specific analysis process is as follows: Based on the obtained bill image review and evaluation value, compare the bill image review and evaluation value with the bill image review reference evaluation value stored in the bill database.

[0043] If the bill image review and evaluation value of the bill is lower than the bill image review reference evaluation value, mark the bill as an unqualified image bill, return the unqualified image bill and give an image unqualified prompt for the bill. Otherwise, mark the bill as a qualified image bill, and the bill passes the image review and evaluation.

[0044] It should be noted that the above review and evaluation value of the bill image is obtained by analyzing the bill image data set, reviewing and evaluating the bill image, and then screening the qualified image bills. By reviewing and evaluating the bill image, the system can identify existing errors or inconsistencies, thereby improving the accuracy of bill processing. The review and evaluation value can include the comparison of bill information, the verification of formats, and the analysis of aspects such as the degree of compliance with pre-set standards or rules to ensure the accuracy of bill data. Using the review and evaluation value, an automated bill processing system can be established to reduce the need for manual intervention. The system can automatically identify which bills are qualified, thereby improving efficiency and reducing processing costs. By ensuring the processing of qualified bills, the quality of customer service can be improved. Accurate and timely bill processing helps to improve customer satisfaction.

[0045] Furthermore, the review and evaluation value of the bill image can not only be further analyzed through a machine learning integration model. By using integration methods such as the K-means clustering model or the support vector machine model, the prediction results of multiple basic models are combined to obtain a more accurate review and evaluation value of the bill image, but also can be calculated through the following methods. The specific analysis process is as follows: 。

[0046] In the formula, is the review and evaluation value of the bill image, is the evaluation value of the bill appearance image, is the evaluation value of the bill security image, is the weight factor of the set bill appearance image evaluation value, is the weight factor of the set bill security image evaluation value.

[0047] In a specific embodiment, the calculation formula for the evaluation value of the bill appearance image is: 。

[0048] In the formula, is the evaluation value of the bill appearance image, is the character length of the bill identification number, is the color saturation of the bill identification number characters, is the number of days of the bill validity period, is the reference character length of the bill identification number, is the reference value of the color saturation of the bill identification number characters, is the reference number of days of the bill validity period, is the compensation factor of the set character length of the bill identification number, is the compensation factor of the set color saturation of the bill identification number characters, is the compensation factor of the set number of days of the bill validity period, is the natural constant.

[0049] It should be noted that the above-mentioned evaluation value of the bill appearance image is calculated through the character length of the bill identification number, the color saturation of the characters of the bill identification number, and the number of days of the bill validity period. Evaluating the character length of the bill identification number, the color saturation of the characters of the bill identification number, and the number of days of the bill validity period can provide an evaluation of the bill appearance image. Abnormal character length of the bill identification number, color saturation of the characters of the bill identification number, and number of days of the bill validity period may indicate format problems with the bill, resulting in difficulties for the system to correctly parse or process. Too short or too long character lengths may mean that additional information has been lost or added, affecting the integrity of the unique identifier on the bill. Under normal circumstances, the color saturation of the characters of the bill identification number should be clear and have a high contrast to ensure accurate reading by the optical character recognition system. Abnormal color saturation may lead to reading errors, thereby affecting the subsequent processing flow. Abnormal color saturation may imply an attempt to forge the bill. Color saturation analysis can be used to detect possible forgery or tampering. A bill usually has a clear validity period limit. Abnormal number of days of the bill validity period may indicate that the bill has expired or there are other compliance issues. Analysis of the bill validity period can help organizations manage risks, especially potential problems related to overdue or invalid bills. The analysis and evaluation of these factors can be carried out through an automated system, using image processing technology, OCR technology, and data analysis tools. The discovery of abnormalities can trigger further audits, manual intervention, or system adjustments to ensure the accuracy, compliance, and security of the bill processing process. Overall, abnormalities in these features may mean potential data quality problems, compliance issues, or fraud risks, which require timely handling and adjustment. By evaluating the bill appearance image and ensuring the reasonableness and consistency of its identification number length, color saturation, and number of days of the validity period, the user's trust in the bill can be enhanced. This consistency and standardization help build trust and reduce the possibility of fraud and misunderstanding.

[0050] In a specific embodiment, the calculation formula for the bill security image evaluation value is: 。

[0051] In the formula, is the bill security image evaluation value, is the color saturation of the bill seal, is the coincidence ratio of the bill seal shape and the standard bill seal shape, is the character length of the bill seal institution code, is the reference value of the color saturation of the bill seal, is the defined coincidence ratio of the bill seal shape and the standard bill seal shape, is the reference character length of the bill seal institution code, is the compensation factor for the set color saturation of the bill seal. is the compensation factor for the coincidence ratio of the set bill seal shape and the standard bill seal shape. is the compensation factor for the character length of the institution code of the bill seal.

[0052] It should be noted that the above bill security image evaluation value is calculated through the color saturation of the bill seal, the coincidence ratio of the bill seal shape and the standard bill seal shape, and the character length of the institution code of the bill seal. Evaluating the color saturation of the bill seal, the coincidence ratio of the bill seal shape and the standard bill seal shape, and the character length of the institution code of the bill seal can provide an evaluation of the appearance image of the bill. Abnormal color saturation of the bill seal, coincidence ratio of the bill seal shape and the standard bill seal shape, and character length of the institution code of the bill seal reflect the legality and authenticity of the bill. The color saturation of the seal on the bill is usually specified by the issuing institution or the authorized institution and is consistent with the color saturation of regular printing. Abnormal color saturation may mean that the bill may be forged or made by an unauthorized institution. Color saturation analysis can be part of anti-fraud. Abnormal color saturation may be a sign of fraud. The regular bill seal shape should match the standard shape. A low coincidence ratio may indicate that the seal does not meet the standard, which may be a sign of forgery. A high coincidence ratio helps confirm the authenticity of the seal. An abnormal shape may indicate poor quality of seal production, possibly hand-forged or made with a low-quality seal. The character length of the institution code should conform to the specification. An abnormal length may be a sign of forgery. The compliant institution code length is usually determined by the issuing institution or industry norms. The institution code is an important identifier on the bill, and its abnormal length may affect its uniqueness and may also cause system processing errors. The seal and institution code on the bill are usually important security features. Careful analysis of them helps prevent forgery and fraud.

[0053] It should be noted that the above-mentioned image review and evaluation of the delivered bills by analyzing the bill image data parameters, and then screening the qualified image bills, reduces the deviation caused by unqualified bills in self-service reimbursement, reduces the possibility of incorrect reimbursement caused by blurred, incomplete or non-standard bills, and improves the efficiency of reimbursement and the reliability of the entire self-service reimbursement bill self-delivery control system.

[0054] The bill recheck and calculation module uploads the bills that have passed the image review and evaluation to the tax system for recheck and calculation, obtains the tax recheck and calculation evaluation value based on the obtained bill calculation data set, and screens the qualified tax bills.

[0055] Specifically, the bills that have passed the image review assessment are uploaded to the tax system for re-audit calculation, and the tax re-audit calculation assessment value is obtained based on the obtained bill calculation data set. The specific analysis process is as follows: The bills that have passed the image review assessment are uploaded to the tax system, and the bills that have passed the image review assessment are re-audited and calculated.

[0056] Obtain the bill calculation data set, including bill amount calculation data and bill tax calculation data. Among them, the bill amount calculation data includes the face amount of the bill. The face amount of the bill refers to the total declared amount on the bill face, the tax reduction amount for each item of the bill. The tax reduction amount for each item of the bill refers to the amount that should be reduced for each item of tax on the bill. The bill tax calculation data includes the tax rate for each item of tax on the bill. The tax rate for each item of tax on the bill refers to the tax rate for the amount payable for each item of tax on the bill, the total amount of tax payable for the bill. The total amount of tax payable for the bill refers to the total value of the tax amount payable for the bill.

[0057] Based on the obtained bill amount calculation data and bill tax calculation data, a comprehensive analysis is carried out to obtain the tax re-audit calculation assessment value, which is used to integrate and quantify the bill tax calculation data and conduct a re-audit calculation assessment on the bill tax calculation data, and is used as the analysis basis for confirming qualified tax bills.

[0058] Furthermore, screen the qualified tax bills. The specific analysis process is as follows: Based on the obtained tax re-audit calculation assessment value, compare the tax re-audit calculation assessment value with the tax re-audit calculation reference assessment value stored in the bill database.

[0059] Based on the obtained deviation value of the tax re-audit calculation assessment value and the tax re-audit calculation reference assessment value, compare the obtained deviation value of the tax re-audit calculation assessment value with the deviation range of the tax re-audit calculation assessment value to obtain the reference total amount of tax payable for the bill corresponding to the deviation range of the compared tax re-audit calculation assessment value.

[0060] If the total amount of tax payable for the bill is higher than the reference total amount of tax payable for the bill corresponding to the deviation range of the compared tax re-audit calculation assessment value, mark the bill as a qualified tax bill; otherwise, mark the bill as an unqualified tax bill, return the unqualified tax bill and give a tax unqualified prompt for the bill.

[0061] It should be noted that the above tax review and calculation assessment value is obtained by analyzing the bill calculation data set, conducting a review and calculation of the bill tax, and then screening the qualified tax bills. Through the review and calculation of the bill tax, the review and calculation can ensure the accuracy and compliance of the tax information in the bills, which helps to prevent non-compliance issues caused by errors or deliberate tampering, ensures that the enterprise follows the regulations in terms of tax, and the review can detect potential errors or frauds. Checking the consistency and legality of the bill tax information helps to reduce tax problems caused by errors or malicious acts, improves the detection ability of fraud. Through automation and algorithms for review and calculation, the work efficiency can be greatly improved. Compared with manual review, the algorithm can process a large number of bills more quickly, reduce the manual burden, and improve the processing speed and accuracy. Through the review and calculation of the bill tax, the enterprise can establish trust with tax authorities and audit institutions. The improvement of compliance and accuracy helps to strengthen the relationship between the enterprise and relevant parties.

[0062] Furthermore, the tax review and calculation assessment value can not only be further analyzed through a machine learning integrated model. By using integrated methods such as random forest or gradient boosting tree, the prediction results of multiple basic models are combined to obtain a more accurate tax review and calculation assessment value, but also can be calculated through the following methods. The specific analysis process is as follows: 。

[0063] In the formula, is the tax review and calculation assessment value, is the bill amount calculation assessment value, is the bill tax calculation assessment value, is the weight factor of the set bill amount calculation assessment value, is the weight factor of the set bill tax calculation assessment value.

[0064] In a specific embodiment, the calculation formula of the bill amount calculation assessment value is: 。

[0065] In the formula, is the bill amount calculation assessment value, is the face amount of the bill, is the tax exemption amount of the th item of the bill, is the reference amount of the bill face, is the average tax exemption amount of the bill tax reference, is the compensation factor of the set bill amount calculation assessment value, is the correction factor of the set face amount of the bill, is the correction factor of the set tax exemption amounts of each item of the bill, It is the serial number for various taxes of the bill. , is the total number of taxes for the bill.

[0066] It should be noted that the above-mentioned bill amount accounting evaluation value is calculated through the face amount of the bill and the amount of tax reduction and exemption for each item of the bill. Evaluating the face amount of the bill and the amount of tax reduction and exemption for each item of the bill can provide a comprehensive evaluation of the bill amount accounting. Abnormal face amounts of the bill and amounts of tax reduction and exemption for each item of the bill reflect abnormalities in the compliance of the bill. An abnormal face amount may be caused by fraud or tampering. For example, the bill amount is deliberately inflated or reduced to obtain improper benefits. For the amount of tax reduction and exemption, the abnormality may indicate a false application for tax reduction, aiming to reduce tax obligations rather than legitimate tax reduction. Abnormal face amounts and amounts of tax reduction and exemption may be caused by incorrect accounting or processing, such as abnormal situations caused by input errors, calculation errors, or processing errors. However, it will still have a negative impact on the accuracy of the financial statements. Abnormal face amounts and amounts of tax reduction and exemption may imply tax risks. Abnormal amounts may reflect problems in financial management. For example, if the face amount does not match the actual business situation, it may mean that there are defects in the enterprise's financial management or imperfect internal control. Abnormal face amounts and amounts of tax reduction and exemption may involve compliance issues. Tax reduction and exemption amounts that do not conform to tax laws may cause the enterprise to face fines or other legal liabilities. Evaluating the face amount of the bill helps to ensure the accuracy of accounting. By carefully checking the amount on the bill, financial inaccuracies caused by errors can be avoided, and it can ensure that the accounting records are consistent with the actual transactions. Bill amount accounting evaluation provides financial transparency, enabling the enterprise and relevant parties to clearly understand the amount details of each transaction. This is very important for reporting, auditing, and transparency requirements. Evaluating the amount of tax reduction and exemption for each item of the bill helps to ensure that the enterprise complies with tax laws. Understanding and correctly accounting for the amount of tax reduction and exemption can help the enterprise make the most of available tax deductions and avoid unnecessary tax burdens. By evaluating the bill amount, the risk of errors can be reduced. Incorrect amount records may lead to inaccuracies in financial reports, affecting the enterprise's economic situation and performance evaluation. Bill amount accounting evaluation helps to ensure that the enterprise's financial activities comply with regulations and standards. Auditors can rely on accurate bill amount data to verify the authenticity of the enterprise's financial statements.

[0067] In a specific embodiment, the calculation formula for the bill tax accounting evaluation value is: .

[0068] In the formula, is the bill tax accounting evaluation value, is the tax rate of the th item of tax for the bill, is the total amount of tax to be paid for the bill, is the reference tax rate for the th tax item of the bill, is the reference total amount of tax to be paid for the bill, is the compensation factor for the set tax accounting evaluation value of the bill, is the correction factor for the tax rates of each tax item of the bill, is the correction factor for the total amount of tax to be paid for the bill, is the natural constant, is the number of each tax item of the bill, , is the total number of taxes of the bill.

[0069] It should be explained that the above-mentioned tax accounting evaluation value of bills is calculated through the tax rates of various taxes on bills and the total amount of taxes to be paid on bills. Evaluating the tax rates of various taxes on bills and the total amount of taxes to be paid on bills can provide a comprehensive evaluation of bill tax accounting. Abnormal tax rates of various taxes on bills and the total amount of taxes to be paid on bills reflect potential tax risks and problems. An abnormal tax rate may indicate problems in the tax compliance of an enterprise, which may include incorrect tax classification, omission or misreporting, resulting in audits and fines. Abnormal tax rates and payment amounts may be signs of an enterprise's abuse of tax preferential policies. An enterprise may deliberately misuse certain tax preferences to reduce its tax obligations, which may be regarded as improper behavior. Abnormal tax rates and payment amounts may also be related to the adjustment of an enterprise's business structure. Abnormal tax rates and payment amounts may be caused by accounting errors, such as input errors, calculation errors or other problems in accounting treatment, resulting in abnormal tax accounting. Abnormal tax situations may indicate that an enterprise attempts to avoid taxes through illegal means, which may include false reporting of income, concealment of profits and other behaviors, involving illegal and improper business practices. Abnormal tax situations reflect possible problems in the financial management of an enterprise, such as poor financial management and insufficient internal control, resulting in abnormal tax accounting. By evaluating the transaction amounts and applicable tax rates involved in bills, the tax obligations of an enterprise can be accurately calculated, which helps to ensure that the enterprise complies with tax laws and regulations and avoids underpayment or overpayment of taxes due to calculation errors. Evaluating bill taxes can help an enterprise conduct more effective tax planning. Understanding the tax rates and amounts of different transactions can help an enterprise legally reduce its tax obligations to the greatest extent and improve its financial benefits. By evaluating bill taxes in a timely manner, an enterprise can more timely understand the amount of taxes to be paid, which helps to maintain the good reputation of the enterprise. The tax accounting evaluation value provides detailed information about the tax impact for the enterprise management, helping them consider tax factors in business decisions. This can help the enterprise more comprehensively evaluate the tax impact of different business decisions. Accurate evaluation of bill taxes helps to reduce the tax risks faced by the enterprise. Ensuring the accuracy of tax accounting can avoid disputes and disputes caused by incorrect or improper tax treatment.

[0070] It should be noted that the above-mentioned bill self-delivery control system for self-service reimbursement, which obtains reasonable bill accounting data parameters to screen qualified tax bills, helps to avoid tax filing errors and related tax risks. The automated bill screening process can save a large amount of time and labor, reduce the chance of human intervention, lower the probability of errors, and better ensure that the financial and tax activities of the enterprise comply with laws and tax regulations, reducing potential legal risks.

[0071] The sorting, printing, and matching module sorts physical bills according to business types, prints receipt and payment vouchers, generates specified labels based on the bill image dataset and the bill accounting dataset, and performs three-way matching.

[0072] Specifically, sorting physical bills according to business types and printing receipt and payment vouchers, the specific analysis process is as follows: The business types specifically include check transactions, bill of exchange operations, letter of credit operations, bank remittance operations, commercial bills, debit card, and credit card transactions.

[0073] Sort physical bills of qualified tax bills according to business types, generate corresponding receipt and payment vouchers based on the identified and verified bill image dataset and bill accounting dataset, and print the generated receipt and payment vouchers through a printing device.

[0074] Review and approve the printed receipt and payment vouchers, and archive and file the printed receipt and payment vouchers.

[0075] It should be noted that the above review of the printed receipt and payment vouchers can ensure the accuracy of transaction and financial information, which helps to avoid errors, loopholes, or potential financial problems. The review and approval procedures help to ensure that the receipt and payment vouchers comply with the company's internal control standards, regulations, and financial guidelines, which is crucial for ensuring the compliance of the enterprise and helps to avoid potential financial risks. The review can help detect possible fraud. By reviewing the vouchers, abnormal or unusual transactions can be identified, thus improving the perception and prevention ability of potential fraud. Archiving and filing the printed vouchers enables easy search and retrieval of historical transaction records in the future, which is very important for auditing, financial analysis, and other tasks that require access to historical data. By establishing a good approval and archiving process, the efficiency of the entire financial process can be improved, errors and unnecessary delays can be reduced, and it helps to complete financial tasks more quickly.

[0076] Furthermore, generating specified labels based on the bill image dataset and the bill accounting dataset, the specific analysis process is as follows: Obtain the bill identification number characters, bill seal institution code characters, bill face amount, and tax rates of various taxes on the bill from the bill image dataset and the bill accounting dataset of qualified tax bills.

[0077] Generate specified labels from the bill identification number characters, bill seal institution code characters, bill face amount, and tax rates of various taxes on the bill of qualified tax bills, and use the generated specified labels as the basis for three-way matching of qualified tax bills.

[0078] Specifically, three-way matching is performed. The specific analysis process is as follows: Based on the specified tags generated from the invoice identification number characters, invoice seal institution code characters, invoice face amount, and reference tax rates for various taxes on the invoice in the invoice image dataset and invoice accounting dataset, match the specified tags with the accounting vouchers and bank receipts corresponding to each specified tag stored in the invoice database to obtain the accounting vouchers and bank receipts corresponding to the qualified tax invoice, thus completing the three-way matching.

[0079] In a specific embodiment, by generating specified tags based on the invoice image dataset and invoice accounting dataset and performing three-way matching, through the invoice image dataset, the information on the invoice can be extracted and identified. Combining with the invoice accounting dataset ensures the accuracy of key information, reduces errors caused by data mismatch. By comparing the three types of documents, potential fraud behaviors can be discovered, which helps to improve the vigilance against abnormal transactions and also helps to ensure the compliance of financial transactions. Automatically generating specified tags and performing three-way matching can greatly improve work efficiency. The traditional manual matching process may be time-consuming and error-prone, while automation can complete a large number of matching operations in a shorter time. Through three-way matching, costs can be better controlled, inconsistencies and anomalies can be detected in a timely manner, which helps to avoid additional costs caused by incorrect payments or fraud behaviors.

[0080] The invoice database is used to store the invoice image review reference evaluation values, tax re-review and calculation reference evaluation values, the total reference amount of taxes to be paid for invoices corresponding to the deviation ranges of each tax re-review and calculation evaluation value, the accounting vouchers, bank receipts corresponding to each specified tag, the reference length of invoice identification number characters, the reference value of color saturation of invoice identification number characters, the reference number of days of invoice validity period, the reference value of color saturation of invoice seals, the overlapping definition ratio of invoice seal shape and standard invoice seal shape, the reference length of invoice seal institution code characters, the reference face amount of invoices, the reference average tax reduction amount of invoices, the reference tax rates for various taxes on invoices, and the total reference amount of taxes to be paid for invoices.

[0081] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should fall within the protection scope of the present invention.

Claims

1. A self-service bill delivery control system for self-service reimbursement, characterized in that, Including: A user upload and approval module, which is used to, after the user fills in a form for reimbursement and pastes bills, self-delivers and uploads the bills to the imaging system, perform imaging review and evaluation on the delivered bills based on the obtained bill image data set, obtain a bill image review and evaluation value, and screen qualified image bills; A bill re-review and calculation module, which uploads the bills that have passed the imaging review and evaluation to the tax system for re-review and calculation, obtains a tax re-review and calculation evaluation value based on the obtained bill calculation data set, and screens the qualified tax bills; A sorting, printing and matching module, which sorts physical bills according to business types and prints receipt and payment vouchers, generates specified labels according to the bill image data set and the bill calculation data set, and performs three-way matching; A bill database, which is used to store the bill image review reference evaluation value, the tax re-review and calculation reference evaluation value, the total reference amount of taxes to be paid for the bills corresponding to the deviation ranges of each tax re-review and calculation evaluation value, the accounting vouchers and bank receipts corresponding to each specified label; The process of uploading the bills that have passed the imaging review and evaluation to the tax system for re-review and calculation and obtaining a tax re-review and calculation evaluation value based on the obtained bill calculation data set is specifically as follows: Upload the bills that have passed the imaging review and evaluation to the tax system and perform re-review and calculation on the bills that have passed the imaging review and evaluation; Obtain a bill calculation data set, including bill amount calculation data and bill tax calculation data, where the bill amount calculation data includes the bill face amount and the tax exemption amounts for various items of the bill, and the bill tax calculation data includes the tax rates for various taxes of the bill and the total amount of taxes to be paid for the bill; Comprehensively analyze the obtained bill amount calculation data and bill tax calculation data to obtain a tax re-review and calculation evaluation value, which is used to perform integrated quantification processing on the bill tax calculation data and perform re-review and calculation evaluation on the bill tax calculation data, and serve as the analysis basis for confirming qualified tax bills; The process of performing three-way matching is specifically as follows: Based on the specified label generated from the bill identification number characters, bill seal institution code characters, bill face amount and the tax rates for various taxes of the bill in the bill image data set and the bill calculation data set of the qualified tax bills, match the specified label with the accounting vouchers and bank receipts corresponding to each specified label stored in the bill database to obtain the accounting vouchers and bank receipts corresponding to the qualified tax bills, and complete the three-way matching.

2. The self-service bill delivery control system for self-service reimbursement according to claim 1, wherein: After the user fills in a form for reimbursement and pastes bills, self-delivers and uploads the bills to the imaging system, perform imaging review and evaluation on the delivered bills based on the obtained bill image data set, and obtain a bill image review and evaluation value. The specific analysis process includes: The user fills in a form for reimbursement and pastes bills, self-delivers the bills and uploads the bills to the imaging system; Obtain a bill image dataset, including bill appearance image data and bill security image data. The bill appearance image data includes the bill identification number characters, the length of the bill identification number characters, the color saturation of the bill identification number characters, and the number of days of the bill validity period. The bill security image data includes the color saturation of the bill seal, the shape of the bill seal, the coincidence ratio with the standard bill seal shape, the length of the bill seal organization code characters, and the bill seal organization code characters; Based on the obtained bill appearance image data and bill security image data, comprehensively analyze to obtain a bill image review and evaluation value, which is used to integrally quantify the bill image data and review and evaluate the bill image data, and serve as the analysis basis for confirming qualified image bills.

3. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process for screening qualified image bills is as follows: Based on the obtained bill image review and evaluation value, compare the bill image review and evaluation value with the bill image review reference evaluation value stored in the bill database; If the bill image review and evaluation value of this bill is lower than the bill image review reference evaluation value, mark this bill as an unqualified image bill, return the unqualified image bill and give an image unqualified prompt for this bill. Otherwise, mark this bill as a qualified image bill, and this bill passes the image review and evaluation.

4. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process for screening qualified tax bills is as follows: Based on the obtained tax re-audit and calculation evaluation value, compare the tax re-audit and calculation evaluation value with the tax re-audit and calculation reference evaluation value stored in the bill database; Based on the obtained deviation value of the tax re-audit and calculation evaluation value and the tax re-audit and calculation reference evaluation value, compare the obtained deviation value of the tax re-audit and calculation evaluation value with the deviation range of the tax re-audit and calculation evaluation value to obtain the total reference amount of taxes payable for the bill corresponding to the deviation range of the compared tax re-audit and calculation evaluation value; If the total amount of taxes payable for this bill is higher than the total reference amount of taxes payable for the bill corresponding to the deviation range of the compared tax re-audit and calculation evaluation value, mark this bill as a qualified tax bill. Otherwise, mark this bill as an unqualified tax bill, return the unqualified tax bill and give a tax unqualified prompt for this bill.

5. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process for sorting physical bills by business type and printing payment vouchers is as follows: The specific business types include check transactions, bill of exchange operations, letter of credit operations, bank remittance operations, commercial bills, debit card and credit card transactions; Sort physical bills of qualified tax bills by business type, generate corresponding payment vouchers according to the identified and verified bill image dataset and bill accounting dataset, and print out the generated payment vouchers through a printing device; Review and approve the printed payment vouchers, and file and archive the printed payment vouchers.

6. The self-service bill delivery control system for self-service reimbursement according to claim 1, wherein: The specific analysis process for generating a specified label according to the bill image dataset and bill accounting dataset is as follows: Obtain the bill identification number characters, bill seal organization code characters, bill face amount, and tax rates of various taxes on the bill in the bill image dataset and bill accounting dataset of qualified tax bills; Generate a specified label from the bill identification number characters, bill seal institution code characters, bill face amount, and tax rates of various taxes of the qualified tax bill, and use the generated specified label as the basis for three-way matching of the qualified tax bill.

7. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process of the bill image review and evaluation value is as follows: ； Wherein, is the audit and evaluation value of the bill image, is the evaluation value of the bill appearance image, is the evaluation value of the bill security image, is the weight factor of the set evaluation value of the bill appearance image, is the weight factor of the set evaluation value of the bill security image.

8. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process of the tax review and calculation evaluation value is as follows: ； Wherein, is the tax review and calculation assessment value, is the bill amount calculation assessment value, is the bill tax calculation assessment value, is the weight factor of the set bill amount calculation assessment value, is the weight factor of the set bill tax calculation assessment value.

Images