Bill self-service delivery control system for self-service reimbursement
By designing a self-service bill delivery control system for self-service accounting, the image review and tax review and accounting of delivered bills is realized, and the problem of unqualified bills caused by the existing system ignoring image review is solved, and the accounting efficiency and system reliability are improved.
Patent Information
- Application Number
- CN202510348131.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-24
- Publication Date
- 2025-04-22
- Estimated Expiration
- 2045-03-24
AI Technical Summary
The existing self-service bill delivery system for self-service bill reporting ignores the image review and evaluation of the delivered bills, resulting in unqualified bills that may lead to false bills and delays, reducing the reliability of the system.
Design a self-service bill delivery control system, through user uploading approval module, bill review and accounting module, sorting and printing matching module and bill database, realize image review and evaluation of submitted bills, screen qualified image bills and tax bills, and generate designated labels for three orders to match.
Through image review and evaluation and tax review and accounting, the deviation of unqualified notes on self-service accounting is reduced, the accounting efficiency and system reliability are improved, and errors and potential legal risks are reduced.
Smart Images

Figure CN119863328A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of self-service bill delivery control, in particular to a self-service bill delivery control system for self-service reimbursement. Background Art
[0002] Self-service bill delivery control technology is an important technology used for self-service accounting by uploading bills to the tax system for approval and accounting. It screens qualified tax bills by obtaining reasonable bill accounting data parameters to ensure that the data used when filing taxes is correct, which helps to avoid tax filing errors and related tax risks. The automated bill screening process can save a lot of time and labor. Reasonable setting of 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 reduced. 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 company's financial and tax activities comply with laws and tax regulations, and reduce potential legal risks.
[0003] For example, the invention patent with the announcement number: CN112650094B, this invention discloses an intelligent financial robot and an AI control system, which are used to solve the problem of low efficiency and long time when the existing financial invoice pasting is done manually; it includes a storage module, an identification module, a processing module, a statistical module and an execution module; the execution module of this invention folds the invoice to be pasted after receiving the folding instruction; the execution module is used to apply glue to one end of the invoice to be pasted or the folded invoice or reimbursement form and stick it on the invoice sticker; by identifying the invoice and sticking the invoice on the invoice sticker, the problem of low efficiency and long time when the existing financial invoice pasting is done manually is solved; through intelligent analysis of the intelligent financial robot, the working value of the intelligent financial robot is obtained, and the intelligent financial robot is controlled and shut down according to the working value to avoid excessive use of the intelligent financial robot and affecting its service life.
[0004] Based on the above solution, it is found that there are still some deficiencies in the self-service bill delivery control system used for self-service reimbursement. Specifically, the current self-service bill delivery system used for self-service reimbursement is limited to screening qualified tax bills by obtaining reasonable bill accounting data parameters, and ignores 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 in the self-service reimbursement caused by unqualified bills, which may lead to erroneous reimbursement due to ambiguous, incomplete or non-standard bills, and also cause delays in the entire self-service reimbursement process, reducing the efficiency of reimbursement and the reliability of the self-service bill delivery system for the entire self-service reimbursement. Summary of the Invention
[0005] In view of the deficiencies in the prior art, the present invention provides a self-service bill delivery control system 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 implemented through the following technical solutions: a self-service bill delivery control system for self-service reimbursement, including: a user upload approval module, which is used to perform image review and evaluation of the delivered bills based on the acquired bill image data set after the user fills out the form for reimbursement and pastes the bills, and uploads the bills to the imaging system, obtains the bill image review and evaluation value, and screens qualified image bills.
[0007] The bill review and calculation module uploads the bills that have passed the image review and evaluation to the tax system for review and calculation. Based on the acquired bill accounting data set, the tax review and calculation evaluation value is obtained to screen the qualified tax bills.
[0008] The sorting, printing and matching module sorts physical bills by business type and prints receipts and payment vouchers. It generates designated labels based on the bill image dataset and the bill accounting dataset and performs three-way matching.
[0009] The bill database is used to store the reference assessment value of the bill image audit, the reference assessment value of the tax review calculation, the reference total amount of tax payable on the bill corresponding to the deviation range of each tax review calculation assessment value, and the accounting vouchers and bank receipts corresponding to each designated label.
[0010] As a further solution, after the user fills out the form, reports the bill, and pastes the bill, and then self-delivers the bill and uploads it to the imaging system, the delivered bill is image-audited and evaluated based on the acquired bill image data set to obtain the bill image audit evaluation value. The specific analysis process includes: the user fills out the form, reports the bill, and pastes the bill, and then self-delivers the bill and uploads it to the imaging system.
[0011] 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, bill identification number character length, bill identification number character color saturation, and bill validity period in days. The bill security image data includes bill seal color saturation, the overlap ratio between the bill seal shape and the standard bill seal shape, the bill seal organization code character length, and the bill seal organization code character.
[0012] The bill image audit evaluation value is obtained based on a comprehensive analysis of the acquired bill appearance image data and bill security image data, which is used to integrate and quantify the bill image data, audit and evaluate the bill image data, and serve as an analysis basis for confirming qualified image bills.
[0013] As a further solution, qualified image bills are screened, and the specific analysis process is: based on the obtained bill image audit evaluation value, the bill image audit evaluation value is compared with the bill image audit reference evaluation value stored in the bill database.
[0014] If the bill image audit evaluation value of the bill is lower than the bill image audit reference evaluation value, the bill will be marked as an unqualified image bill, the unqualified image bill will be returned and a prompt of unqualified image will be given for the bill. Otherwise, the bill will be marked as a qualified image bill and pass the image audit evaluation.
[0015] As a further solution, the bills that have passed the image audit and evaluation will be uploaded to the tax system for review and calculation, and the tax review and calculation evaluation value will be obtained based on the obtained bill accounting data set. The specific analysis process is: the bills that have passed the image audit and evaluation will be uploaded to the tax system, and the bills that have passed the image audit and evaluation will be reviewed and calculated.
[0016] Obtain bill accounting data sets, including bill amount accounting data and bill tax accounting data. Bill amount accounting data includes the bill face value and the amount of various tax exemptions for the bill. Bill tax accounting data includes the tax rates of various taxes on the bill and the total amount of taxes payable on the bill.
[0017] The tax review and calculation evaluation value is obtained based on a comprehensive analysis of the acquired bill amount accounting data and bill tax accounting data, which is used to integrate and quantify the bill tax accounting data, conduct a review and calculation evaluation of the bill tax accounting data, and serve as an analysis basis for confirming qualified tax bills.
[0018] As a further solution, qualified tax invoices are screened. The specific analysis process is: based on the obtained tax review calculation assessment value, the tax review calculation assessment value is compared with the tax review calculation reference assessment value stored in the invoice database.
[0019] The deviation value of the tax review calculation valuation is obtained based on the obtained tax review calculation valuation and the tax review calculation reference valuation, and the deviation value of the tax review calculation valuation obtained is compared with the deviation range of the tax review calculation valuation to obtain the reference total amount of tax payable for the bill corresponding to the deviation range of the compared tax review calculation valuation.
[0020] 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 tax review calculation and assessment value obtained by comparison, the bill will be marked as a qualified tax bill; otherwise, the bill will be marked as an unqualified tax bill, the unqualified tax bill will be returned and a tax unqualified prompt will be issued 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 business, letter of credit business, bank remittance business, commercial bills, debit card and credit card transactions.
[0022] Qualified tax invoices are sorted into physical invoices according to business types, and corresponding receipts and payments vouchers are generated based on the identified and verified invoice image data sets and invoice accounting data sets, and the generated receipts and payments vouchers are printed out through a printing device.
[0023] Review and approve the printed receipt and payment vouchers, and archive and file the printed receipt and payment vouchers.
[0024] As a further solution, specified labels are generated based on the bill image dataset and the bill accounting dataset. The specific analysis process is: obtain the bill identification number characters, bill seal agency code characters, bill face value, and tax rates of various taxes and levies on the bill from the bill image dataset and the bill accounting dataset of qualified tax bills.
[0025] Generate designated tags for the bill identification number characters, bill seal agency code characters, bill face value, and tax rates of various taxes on the bill of the qualified tax bill, and use the generated designated tags as the basis for three-way matching of the qualified tax bill.
[0026] As a further solution, three-document matching is performed. The specific analysis process is: based on the designated tags generated by the bill identification number characters, bill seal organization code characters, bill face value, and tax rates of various taxes and levies in the bill image dataset of the qualified tax bill and the bill accounting dataset, the designated tags are matched with the accounting vouchers and bank receipts corresponding to each designated tag stored in the bill database to obtain the accounting vouchers and bank receipts corresponding to the qualified tax bill, thus completing the three-document matching.
[0027] As a further solution, the bill image review and evaluation value, the specific analysis process is as follows: .
[0028] Where, The assessment value of the bill image review, is the bill appearance image assessment value, is the bill security image assessment value, is the weight factor of the set bill appearance image evaluation value, The weight factor of the set bill security image evaluation value.
[0029] As a further solution, the tax review and valuation is carried out. The specific analysis process is as follows: .
[0030] Where, Calculate assessed value for tax review, Calculate the valuation for the bill amount, For the tax accounting and valuation of bills, The weight factor for calculating the valuation of the set bill amount, The weight factor for the set bill tax accounting assessment value.
[0031] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a self-service bill delivery control system for self-service reimbursement, obtains reasonable bill accounting data parameters to screen qualified tax bills, and helps to avoid tax reporting errors and related tax risks. The automated bill screening process can save a lot of time and labor, reduce the chance of human intervention, reduce the probability of errors, better ensure that the company's financial and tax activities comply with laws and tax regulations, and reduce potential legal risks.
[0032] (2) The present invention analyzes the image data parameters of the bills to conduct image audit and evaluation of the delivered bills, and then screens the qualified image bills, thereby reducing the deviation caused by unqualified bills in the self-service reimbursement, reducing the possibility of erroneous reimbursement due to blurred, incomplete or non-standard bills, and improving the efficiency of reimbursement and the reliability of the entire self-service bill delivery control system for self-service reimbursement.
[0033] (3) The present invention generates designated tags based on the bill image dataset and the bill accounting dataset and performs three-way matching. Through the bill image dataset, the information on the bill can be extracted and identified. Combined with the bill accounting dataset, the accuracy of key information is ensured and errors caused by data mismatch are reduced. By comparing the three types of documents, potential fraud can be discovered, which helps to increase vigilance against abnormal transactions and also helps to ensure the compliance of financial transactions. Automatic generation of designated tags and three-way matching can greatly improve work efficiency. The traditional manual matching process may be time-consuming and prone to errors, 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 abnormalities can be discovered in a timely manner, and additional costs caused by erroneous payments or fraudulent behavior can be avoided. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.
[0035] Figure 1 This is a schematic diagram of system module connections of the present invention. DETAILED DESCRIPTION
[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0037] See also Figure 1 An embodiment of the present invention provides a technical solution for controlling self-service bill delivery for self-service reimbursement: a self-service bill delivery control system for self-service reimbursement, including a user upload approval module, a bill review and calculation module, a sorting and printing matching module and a bill database.
[0038] The user upload approval module is used to perform image review and evaluation on the delivered bills based on the acquired bill image dataset after the user fills out the form, submits the bill, pastes the bill, and uploads it to the imaging system. The module obtains the bill image review and evaluation value and screens out qualified image bills.
[0039] Specifically, after the user fills out the form, reports the bill, and pastes the bill, and then self-delivers the bill and uploads it to the imaging system, the delivered bill is image-audited and evaluated based on the acquired bill image data set to obtain the bill image audit evaluation value. The specific analysis process includes: the user fills out the form, reports the bill, and pastes the bill, and then self-delivers the bill and uploads it to the imaging system.
[0040] Obtain bill image data set, including bill appearance image data and bill security image data, wherein 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 usually includes the following common character types: numbers, letters, bill identification number character length, bill identification number character length refers to the number of digits of the bill identifier character, bill identification number character color saturation, bill identification number character color saturation refers to the saturation of the bill identification number character color, bill validity period days, bill validity period days refers to the length of the bill validity period days, bill security image data includes The color saturation of the bill seal refers to the saturation of the color of the bill seal. The overlap ratio between the bill seal shape and the standard bill seal shape usually refers to the similarity between the two in appearance and shape. The overlap ratio between the bill seal shape and the standard bill seal shape is obtained. The character length of the bill seal institution code refers to the number of digits of the seal institution code character. The bill seal institution code character is usually a unique identifier used to identify the bill seal institution, and usually includes the following common character types: numbers, letters.
[0041] The bill image audit evaluation value is obtained based on a comprehensive analysis of the acquired bill appearance image data and bill security image data, which is used to integrate and quantify the bill image data, audit and evaluate the bill image data, and serve as an analysis basis for confirming qualified image bills.
[0042] Specifically, the qualified image bills are screened, and the specific analysis process is: based on the obtained bill image audit evaluation value, the bill image audit evaluation value is compared with the bill image audit reference evaluation value stored in the bill database.
[0043] If the bill image audit evaluation value of the bill is lower than the bill image audit reference evaluation value, the bill will be marked as an unqualified image bill, the unqualified image bill will be returned and a prompt of unqualified image will be given for the bill. Otherwise, the bill will be marked as a qualified image bill and pass the image audit evaluation.
[0044] It should be explained that the above-mentioned bill image audit and evaluation value analyzes the bill image data set, audits and evaluates the bill image, and then screens the qualified image bills. By auditing and evaluating the bill image, the system can identify existing errors or inconsistencies, thereby improving the accuracy of bill processing. The audit evaluation value can include comparison of bill information, format verification, and analysis of the degree of compliance with pre-set standards or rules to ensure the accuracy of bill data. Using the audit 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 qualified bill processing, the quality of customer service can be improved, and accurate and timely bill processing helps to improve customer satisfaction.
[0045] Furthermore, the bill image audit assessment value can not only be obtained through further analysis of the machine learning integration model, using integration methods such as the K-means clustering model or the support vector machine model to combine the prediction results of multiple basic models to obtain a more accurate bill image audit assessment value, but can also be calculated in the following way. The specific analysis process is as follows: .
[0046] Where, To review and evaluate the value of bill images, is the bill appearance image assessment value, is the bill security image assessment value, is the weight factor of the set bill appearance image evaluation value, The weight factor of the set bill security image evaluation value.
[0047] In a specific embodiment, the calculation formula for the bill appearance image evaluation value is: .
[0048] Where, is the bill appearance image assessment value, The character length of the bill identification number. The color saturation of the bill identification number character. The number of days the bill is valid. The reference length of the bill identification number character. The color saturation reference value of the bill identification number character. The reference number of days for the validity period of the bill. The compensation factor for the character length of the set bill identification number. The compensation factor for the color saturation of the set bill identification number characters. The compensation factor for the set number of days of validity of the bill, is a natural constant.
[0049] It should be explained that the above-mentioned bill appearance image evaluation value is calculated through the bill identification number character length, bill identification number character color saturation, and bill validity period days. Evaluating the bill identification number character length, bill identification number character color saturation, and bill validity period days can provide an evaluation of the bill appearance image. Abnormal bill identification number character length, bill identification number character color saturation, and bill validity period days may indicate that there are format problems with the bill, making it difficult for the system to correctly parse or process it. Too short or too long character length may mean that additional information is lost or added, affecting the integrity of the unique identification on the bill. Under normal circumstances, the bill identification number character color saturation should be clear and high-contrast to ensure that it can be accurately read by the optical character recognition system. Abnormal color saturation may cause reading errors, which in turn affects subsequent processing procedures. Abnormal color saturation may indicate an attempt to forge a bill. Color saturation analysis can To detect possible forgery or tampering, a bill usually has a clear validity period limit. Abnormal validity period may indicate that the bill has expired or there are other compliance issues. Analysis of 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 performed by automated systems, using image processing technology, OCR technology and data analysis tools. The discovery of anomalies can trigger further review, manual intervention or system adjustment to ensure the accuracy, compliance and security of the bill processing process. Overall, anomalies in these features may mean potential data quality issues, compliance issues or fraud risks, which require timely processing and adjustment. By evaluating the appearance image of the bill to ensure the rationality and consistency of its identification number length, color saturation and validity period, users' trust in the bill can be enhanced. This consistency and standardization helps build trust and reduce the possibility of fraud and misunderstanding.
[0050] In a specific embodiment, the calculation formula of the bill security image evaluation value is: .
[0051] Where, is the bill security image assessment value, The color saturation of the bill seal. The ratio of the bill seal shape to the standard bill seal shape. The character length of the bill seal agency code, is the reference value for the color saturation of the bill seal. Define the ratio of the bill seal shape to the standard bill seal shape. The character reference length of the bill seal agency code. The compensation factor for the color saturation of the bill seal. The compensation factor for the overlap ratio between the set bill seal shape and the standard bill seal shape. The compensation factor for the character length of the set bill seal agency code.
[0052] It should be explained that the above-mentioned bill security image assessment value is calculated through the bill seal color saturation, the overlap ratio of the bill seal shape and the standard bill seal shape, and the length of the bill seal institution code character. The assessment of the bill seal color saturation, the overlap ratio of the bill seal shape and the standard bill seal shape, and the length of the bill seal institution code character can provide an assessment of the bill appearance image. Abnormal bill seal color saturation, the overlap ratio of the bill seal shape and the standard bill seal shape, and the length of the bill seal institution code character reflect the legality and authenticity of the bill. The seal color saturation on the bill is usually stipulated by the issuing agency or the authorized agency, and is consistent with the color saturation of regular printing. Abnormal color saturation may mean that the bill may be counterfeit or produced by an unauthorized agency. Color saturation analysis can As part of anti-fraud, abnormal color saturation may be a sign of fraud. The shape of a regular bill seal should match the standard shape. A low overlap ratio may indicate that the seal does not meet the standard, which may be a sign of forgery. A high overlap ratio helps to confirm the authenticity of the seal. Abnormal shape may indicate that the seal is of poor quality and may be hand-forged or made using a low-quality seal. The character length of the institution code should comply with the specifications. Abnormal length may be a sign of forgery. The compliant institution code length is usually determined by the issuing agency or industry specifications. The institution code is an important identifier on the bill. 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 can help prevent forgery and fraud.
[0053] It should be explained 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 to the self-service reimbursement, reduces the possibility of erroneous reimbursement due to blurred, incomplete or non-standard bills, and improves the efficiency of reimbursement and the reliability of the entire self-service bill delivery control system for self-service reimbursement.
[0054] The bill review and calculation module uploads the bills that have passed the image review and evaluation to the tax system for review and calculation. Based on the acquired bill accounting data set, it obtains the tax review and calculation evaluation value and screens the qualified tax bills.
[0055] Specifically, the bills that have passed the image review and evaluation will be uploaded to the tax system for review and calculation, and the tax review and calculation evaluation value will be obtained based on the obtained bill accounting data set. The specific analysis process is: the bills that have passed the image review and evaluation will be uploaded to the tax system, and the bills that have passed the image review and evaluation will be reviewed and calculated.
[0056] Obtain the bill accounting dataset, including bill amount accounting data and bill tax accounting data. The bill amount accounting data includes the bill face value, which refers to the total amount declared on the bill face value, the various tax exemption amounts for the bill, which refers to the amounts that should be exempted for each tax on the bill. The bill tax accounting data includes the tax rates for each tax on the bill, which refers to the tax rates for the amount of each tax payable on the bill, and the total amount of taxes payable on the bill, which refers to the total amount of taxes payable on the bill.
[0057] The tax review and calculation evaluation value is obtained based on a comprehensive analysis of the acquired bill amount accounting data and bill tax accounting data, which is used to integrate and quantify the bill tax accounting data, conduct a review and calculation evaluation of the bill tax accounting data, and serve as an analysis basis for confirming qualified tax bills.
[0058] Furthermore, qualified tax invoices are screened, and the specific analysis process is: based on the obtained tax review calculation and appraisal value, the tax review calculation and appraisal value is compared with the tax review calculation reference appraisal value stored in the invoice database.
[0059] The deviation value of the tax review calculation valuation is obtained based on the obtained tax review calculation valuation and the tax review calculation reference valuation, and the deviation value of the tax review calculation valuation obtained is compared with the deviation range of the tax review calculation valuation to obtain the reference total amount of tax payable for the bill corresponding to the deviation range of the compared tax review calculation valuation.
[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 tax review calculation and assessment value obtained by comparison, the bill will be marked as a qualified tax bill; otherwise, the bill will be marked as an unqualified tax bill, the unqualified tax bill will be returned and a tax unqualified prompt will be issued for the bill.
[0061] It needs to be explained that the above-mentioned tax review and calculation valuation is achieved by analyzing the bill accounting data set, reviewing and calculating the bill tax, and then screening the qualified tax bills. By reviewing and calculating the bill tax, the review and calculation can ensure the accuracy and compliance of the tax information in the bill, which helps to prevent non-compliance issues caused by errors or intentional tampering, and ensure that the company complies with tax regulations. The review can detect potential errors or fraudulent behavior. Checking the consistency and legality of the bill tax information helps reduce tax problems caused by errors or malicious behavior, and improves the ability to detect fraud. Reviewing through automation and algorithms can greatly improve work efficiency. Compared with manual review, algorithms can process a large number of bills more quickly, reduce the manual burden, and improve processing speed and accuracy. By reviewing the bill tax, companies can establish trust with tax agencies and auditing agencies. The improvement of compliance and accuracy helps to strengthen the relationship between the company and relevant parties.
[0062] Furthermore, the tax review calculation and assessment value can not only be obtained through further analysis of machine learning ensemble models, using ensemble methods such as random forest or gradient boosting tree to combine the prediction results of multiple basic models to obtain a more accurate tax review calculation and assessment value, but can also be calculated in the following way. The specific analysis process is as follows: .
[0063] Where, Calculate assessed value for tax review, Calculate the valuation for the bill amount, For the tax accounting and valuation of bills, The weight factor for calculating the valuation of the set bill amount, The weight factor for the set bill tax accounting assessment value.
[0064] In a specific embodiment, the calculation formula for the bill amount accounting evaluation value is: .
[0065] Where, Calculate the valuation for the bill amount, is the face value of the bill, For bill Amount of tax deductions, The reference amount of the bill. The average amount of tax exemption for bills. The compensation factor for calculating the valuation of the set bill amount, is the correction factor of the set bill face value, It is the correction factor for the tax exemption amount of each bill. The tax numbers for the bills. , The total number of bill taxes.
[0066] It should be explained that the above-mentioned bill amount accounting valuation is calculated through the face value of the bill and the various tax exemptions on the bill. The evaluation of the face value of the bill and the various tax exemptions on the bill can provide a comprehensive evaluation of the bill amount accounting. Abnormal bill face value and various tax exemptions on the bill reflect abnormalities in the compliance of the bill. Abnormal face value may be caused by fraud or tampering. For example, the bill amount is deliberately exaggerated or reduced to obtain improper benefits. For tax exemption amounts, abnormalities may indicate false exemption applications aimed at reducing tax obligations rather than legitimate tax exemptions. Abnormal face value and tax exemption amounts may be caused by incorrect accounting or processing. Abnormal situations may be caused by entry errors, calculation errors or processing errors, but they will still have a negative impact on the accuracy of financial statements. Abnormal face value and tax exemption amounts may imply tax risks. Abnormal amounts may reflect problems in financial management. For example, the face value does not match the actual business situation, which may mean that the company's financial management has defects or imperfect internal controls. Abnormal face value The amount and tax exemption amount may involve compliance issues. Tax exemption amounts that do not comply with tax laws may cause the company to face fines or other legal liabilities. The assessment of the face value 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, ensuring that accounting records are consistent with actual transactions. The bill amount accounting assessment provides financial transparency, allowing companies and related parties to clearly understand the amount details of each transaction, which is very important for reporting, auditing and transparency requirements. The assessment of the tax exemption amounts of various bills helps ensure that companies comply with tax laws. Understanding and correctly accounting for tax exemption amounts can help companies maximize the use of available tax exemptions and avoid unnecessary tax burdens. By evaluating the bill amount, the risk of errors can be reduced. Incorrect amount recording may lead to inaccurate financial reports and affect the company's economic situation and performance evaluation. The bill amount accounting assessment helps ensure that the company's financial activities comply with regulations and standards. Auditors can rely on accurate bill amount data to verify the authenticity of the company's financial statements.
[0067] In a specific embodiment, the calculation formula for the bill tax accounting assessment value is: .
[0068] Where, For the tax accounting and valuation of bills, For bill The tax rate for each tax item, The total amount of tax payable for the bill, For bill The reference tax rate for the tax The total amount of tax payable for the bill. The compensation factor for the set bill tax accounting assessment value, It is the correction factor for the tax rate of each tax on the bill. The correction factor for the total amount of tax payable for the set bill, is a natural constant, The tax numbers for the bills. , The total number of bill taxes.
[0069] It needs to be explained that the above-mentioned tax accounting valuation of bills is calculated through the tax rates of various taxes on bills and the total amount of taxes payable on bills. The assessment of the tax rates of various taxes on bills and the total amount of taxes payable on bills can provide a comprehensive assessment of the tax accounting of bills. Abnormal tax rates of various taxes on bills and the total amount of taxes payable on bills reflect potential tax risks and problems. Abnormal tax rates may indicate that the company has problems in tax compliance, which may include incorrect tax classification, misreporting, etc., leading to audits and fines. Abnormal tax rates and payment amounts may be signs that the company is abusing tax preferential policies. The company may deliberately misuse certain tax preferences to reduce tax obligations, which may be considered misconduct. Abnormal tax rates and payment amounts may also be related to the company's business structure adjustment. Abnormal tax rates and payment amounts may be caused by accounting errors. There may be entry errors, calculation errors or other accounting problems, resulting in abnormal tax accounting. Abnormal tax situations may indicate that the company is trying to avoid taxes through illegal means, which may include false reporting of income, concealment of profits, etc., involving illegal and Improper business practices and abnormal tax situations reflect possible problems in a company's financial management. Poor financial management and inadequate internal controls may lead to abnormal tax accounting. By evaluating the transaction amounts and applicable tax rates involved in the bills, the company's tax obligations can be accurately calculated, which helps ensure that the company complies with tax laws and avoids underpayment or overpayment of taxes due to calculation errors. Assessing bill taxes can help companies conduct more effective tax planning. Understanding the tax rates and amounts of different transactions can help companies legally minimize their tax obligations and improve financial efficiency. By timely assessing bill taxes, companies can understand the amount of taxes payable more promptly, which helps maintain the company's good reputation. The tax accounting assessment value provides company management with detailed information on tax impacts, helping them consider tax factors in their business decisions. This can help companies more comprehensively evaluate the impact of different business decisions on taxes. Accurate assessment of bill taxes helps reduce the tax risks faced by companies. Ensuring the accuracy of tax accounting can avoid disputes and conflicts caused by erroneous or improper tax treatments.
[0070] It should be noted that the above-mentioned system provides a self-service bill delivery control system for self-service reimbursement, obtains reasonable bill accounting data parameters to screen qualified tax bills, and helps avoid tax reporting errors and related tax risks. The automated bill screening process can save a lot of time and labor, reduce the chance of human intervention, reduce the probability of errors, better ensure that the company's financial and tax activities comply with laws and tax regulations, and reduce potential legal risks.
[0071] The sorting, printing and matching module sorts physical bills by business type and prints receipts and payment vouchers. It generates designated labels based on the bill image dataset and the bill accounting dataset and performs three-way matching.
[0072] Specifically, 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 business, letter of credit business, bank remittance business, commercial bills, debit card and credit card transactions.
[0073] Qualified tax invoices are sorted into physical invoices according to business types, and corresponding receipts and payments vouchers are generated based on the identified and verified invoice image data sets and invoice accounting data sets, and the generated receipts and payments vouchers are printed out 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-mentioned review of printed receipts 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 ensure that receipts and payment vouchers comply with the company's internal control standards, regulations and financial guidelines, which is critical to ensuring corporate compliance and helping to avoid potential financial risks. Audits can help detect possible fraud. By reviewing vouchers, abnormal or unusual transactions can be identified, thereby improving the perception and prevention of potential fraud. Archiving and filing printed vouchers makes it easy to find and retrieve historical transaction records in the future, which is very important for auditing, financial analysis and other work that requires 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 financial tasks can be completed more quickly.
[0076] Furthermore, designated labels are generated based on the bill image dataset and the bill accounting dataset. The specific analysis process is: obtain the bill identification number characters, bill seal agency code characters, bill face value, and tax rates of various taxes and levies on the bill from the bill image dataset and the bill accounting dataset of qualified tax bills.
[0077] Generate designated tags for the bill identification number characters, bill seal agency code characters, bill face value, and tax rates of various taxes on the bill of the qualified tax bill, and use the generated designated tags as the basis for three-way matching of the qualified tax bill.
[0078] Specifically, three-document matching is performed, and the specific analysis process is as follows: based on the designated tags generated by the bill identification number characters, bill seal organization code characters, bill face value, and tax rates of various taxes and levies in the bill image dataset of the qualified tax bill and the bill accounting dataset, the designated tags are matched with the accounting vouchers and bank receipts corresponding to the designated tags stored in the bill database to obtain the accounting vouchers and bank receipts corresponding to the qualified tax bill, thus completing the three-document matching.
[0079] In a specific embodiment, by generating designated tags based on the bill image dataset and the bill accounting dataset and performing three-way matching, the information on the bill can be extracted and identified through the bill image dataset. Combined with the bill accounting dataset, the accuracy of key information is ensured and errors caused by data mismatch are reduced. By comparing the three types of documents, potential fraud can be discovered, which helps to increase vigilance against abnormal transactions and also helps to ensure the compliance of financial transactions. Automatically generating designated 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 discovered in a timely manner, and additional costs caused by erroneous payments or fraudulent behavior can be avoided.
[0080] The bill database is used to store the reference assessment value of bill image review, the reference assessment value of tax review calculation, the reference total amount of taxes payable on bills corresponding to the deviation range of each tax review calculation assessment value, the accounting vouchers corresponding to each designated label, the bank receipt, the reference length of bill identification number characters, the reference value of the color saturation of the bill identification number characters, the reference number of days for the bill validity period, the reference value of the color saturation of the bill seal, the overlap ratio between the bill seal shape and the standard bill seal shape, the reference length of the bill seal organization code characters, the reference amount of the bill face value, the average amount of reference tax exemptions and reductions for the bill, the reference tax rates of various taxes on the bill, and the reference total amount of taxes payable on the bill.
[0081] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.
Claims
1. A self-service bill delivery control system for self-service reimbursement, characterized in that: include: The user upload approval module is used to perform image review and evaluation on the delivered bills based on the acquired bill image data set after the user fills in the form and pastes the bill, delivers the bill by self-service and uploads it to the image system, obtains the bill image review and evaluation value, and screens qualified image bills; The bill review and calculation module uploads the bills that have passed the image review and evaluation to the tax system for review and calculation. Based on the acquired bill accounting data set, the tax review and calculation evaluation value is obtained to screen the qualified tax bills. The sorting, printing and matching module sorts physical bills by business type and prints receipts and payment vouchers. It generates designated labels based on the bill image data set and bill accounting data set and performs three-way matching. The bill database is used to store the reference assessment value of bill image audit, the reference assessment value of tax review and calculation, the reference total amount of tax payable on the bill corresponding to the deviation range of each tax review and calculation assessment value, and the accounting vouchers and bank receipts corresponding to each designated label.
2. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: After the user fills in the form and pastes the bill, delivers the bill by self-service and uploads it to the image system, the delivered bill is image-audited and evaluated based on the acquired bill image data set to obtain the bill image audit evaluation value. The specific analysis process includes: The user fills in the form, reports the bill, pastes the bill, delivers the bill by self-service and uploads the bill to the imaging system; Obtain a bill image data set, including bill appearance image data and bill security image data, wherein the bill appearance image data includes bill identification number characters, bill identification number character length, bill identification number character color saturation, and bill validity period days; the bill security image data includes bill seal color saturation, bill seal shape and standard bill seal shape overlap ratio, bill seal organization code character length, and bill seal organization code character; The bill image review and evaluation value is obtained based on a comprehensive analysis of the acquired bill appearance image data and bill security image data, which is used to integrate and quantify the bill image data, review and evaluate the bill image data, and serve as an 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 of screening qualified image bills is as follows: Based on the acquired bill image audit evaluation value, the bill image audit evaluation value is compared with the bill image audit reference evaluation value stored in the bill database; If the bill image audit evaluation value of the bill is lower than the bill image audit reference evaluation value, the bill will be marked as an unqualified image bill, the unqualified image bill will be returned and a prompt of unqualified image will be given for the bill. Otherwise, the bill will be marked as a qualified image bill and pass the image audit evaluation.
4. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The bills that have passed the image audit and evaluation are uploaded to the tax system for review and calculation, and the tax review and calculation evaluation value is obtained based on the acquired bill accounting data set. The specific analysis process is as follows: Upload the bills that have passed the image review and assessment to the tax system, and conduct a review and calculation on the bills that have passed the image review and assessment; Obtain bill accounting data sets, including bill amount accounting data and bill tax accounting data. The bill amount accounting data includes the bill face value and the amount of various tax exemptions on the bill. The bill tax accounting data includes the tax rates of various taxes on the bill and the total amount of taxes payable on the bill. The tax review and calculation evaluation value is obtained based on a comprehensive analysis of the acquired bill amount accounting data and bill tax accounting data, which is used to integrate and quantify the bill tax accounting data and to review and calculate the bill tax accounting data, and serves as an analysis basis for confirming qualified tax bills.
5. The self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process of screening qualified tax bills is as follows: Based on the obtained tax review calculation and appraisal value, the tax review calculation and appraisal value is compared with the tax review calculation and appraisal reference value stored in the bill database; Based on the obtained tax review calculation and appraisal value and the tax review calculation reference appraisal value, a deviation value of the tax review calculation and appraisal value is obtained, and the deviation value of the obtained tax review calculation and appraisal value is compared with the deviation range of the tax review calculation and appraisal value to obtain the reference total amount of tax payable on the bill corresponding to the deviation range of the compared tax review calculation and appraisal value; If the total amount of tax payable on the bill is higher than the reference total amount of tax payable on the bill corresponding to the deviation range of the tax review calculation and assessment value obtained by comparison, the bill will be marked as a qualified tax bill; otherwise, the bill will be marked as an unqualified tax bill, the unqualified tax bill will be returned and a tax unqualified prompt will be issued for the bill.
6. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process of sorting physical bills by business type and printing receipt and payment vouchers is as follows: The business types specifically include check transactions, bill of exchange business, letter of credit business, bank remittance business, commercial bills, debit card and credit card transactions; The qualified tax bills are sorted into physical bills according to the business type, and the corresponding receipt and payment vouchers are generated according to the bill image data set and bill accounting data set after identification and verification, and the generated receipt and payment vouchers are printed out through the printing device; Review and approve the printed receipt and payment vouchers, and archive and file the printed receipt and payment vouchers.
7. A self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process of generating designated labels based on the bill image dataset and the bill accounting dataset is as follows: Obtain the bill image data set of qualified tax bills and the bill identification number characters, bill seal agency code characters, bill face value, and tax rates of various bill taxes in the bill accounting data set; The bill identification number characters, bill seal agency code characters, bill face value, and tax rates of various taxes on the bill of the qualified tax bill are used to generate designated labels, and the generated designated labels are used as the basis for three-way matching of the qualified tax bill.
8. The self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The specific analysis process of the three-order matching is as follows: Based on the designated label generated by the bill identification number characters, bill seal organization code characters, bill face value, and tax rates of various taxes and levies in the bill image dataset of qualified tax bills and the bill accounting dataset, the designated label is matched with the accounting vouchers and bank receipts corresponding to the designated labels stored in the bill database to obtain the accounting vouchers and bank receipts corresponding to the qualified tax bills, thereby completing the matching of the three documents.
9. The 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 audit evaluation value is as follows: ; In the formula, To review and evaluate the value of the bill image, is the bill appearance image evaluation value, is the bill security image assessment value, is the weight factor of the set bill appearance image evaluation value, The weight factor of the set bill security image assessment value.
10. The self-service bill delivery control system for self-service reimbursement according to claim 1, characterized in that: The tax review calculation and assessment value, the specific analysis process is as follows: ; In the formula, Calculate the assessed value for tax review, Calculate the valuation for the bill amount, For the tax accounting and valuation of bills, The weight factor for calculating the valuation of the set bill amount. The weight factor for the tax accounting assessment value of the set bill.
Citation Information
Patent Citations
Intelligent financial robot and AI control system
CN112650094B
Financial bill image quality evaluation method and device
CN113344889A
Intelligent reimbursement system
CN114693420A
Financial reimbursement checking method, medium, equipment and system based on industry characteristics
CN115689786A
Invoice early warning method and device based on machine learning, equipment and storage medium
CN119323793A