Automatic monitoring and processing system for accounting

Abstract

The invention discloses an automatic accounting monitoring and processing system, and relates to the technical field of monitoring processing, and the system comprises an intelligent arrangement unit which recognizes and extracts the information of an accounting voucher through a preset rule, compares the extracted information with a database, and carries out the management of the accounting voucher according to the payment amount and the preset rule. The system comprises a reimbursement unit for issuing a payment sequence order command, and a reimbursement optimization unit for automatically associating a budget of an organization to which a fee type belongs according to bill information filled by a reimbursement worker, and strictly managing and controlling a reimbursement fee auditing link. The business payment process can be simplified through the intelligent arrangement unit, the expense reimbursement information can be synchronized through the reimbursement optimization unit, data sharing of different systems and automatic financial statement generation are optimized through the reconciliation optimization unit, and the problem of unsmooth financial statement submission is solved.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and processing technology, and in particular to an accounting automation monitoring and processing system. Background Art

[0002] When building a financial shared center, the company also pays great attention to the connection between various systems. For businesses with cumbersome workloads, regular processing procedures, and unified data structures, the company's existing financial system can also reap scale benefits. However, the company's existing financial process operations still require a lot of manual operations to complete the work tasks between different programs. From the perspective of accounting, the existing fund payment management department cannot complete the login of various account points, and the relevant data between the systems cannot be synchronized. When generating payment applications, data errors are prone to occur and cannot be discovered in time, causing economic losses to the company. Secondly, the expense reimbursement process needs to be improved, the expense reimbursement information cannot be accurately identified, and the expense review process is complicated. Then, financial statements cannot be processed automatically, and the financial statement submission process is not smooth; In addition, faced with the credit risk of accounts receivable, the company finds it difficult to manage it comprehensively. In the information transmission process of the computer accounting processing model, the generation and verification links are still manual operations, and recording and custody are on-machine operations. Although traditional information technology has optimized the generation, verification, recording and custody links of the traditional accounting processing model, it has not changed the centralized accounting processing model and the audit time lag. Summary of the invention

[0003] The purpose of the present invention is to provide an automated accounting monitoring and processing system to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: an accounting automated monitoring and processing system, comprising the following units: An intelligent scheduling unit, which identifies and extracts information of accounting vouchers according to preset rules, compares the extracted information with the database, and issues payment sequence commands according to the payment amount and preset rules; A reimbursement optimization unit, which automatically associates the budget of the organization to which the expense type belongs based on the bill information filled in by the reimbursement staff, and strictly controls the review of reimbursement expenses. Among them, the reimbursement form is automatically identified using OCR scanning technology, and the scanned information is directly entered into the bill reimbursement system; The reconciliation optimization unit pre-sets program instructions through RPA technology, automatically retrieves the account password for authorization login, automatically searches for the statement, downloads and saves it, and saves it to the database after converting it into structured data. The accountant will then manually verify it. After the manual verification is correct, the data will be resent to the database for comparison, and then the accounts will be matched across systems for automatic reconciliation. After the account information is verified, the relevant report will be automatically generated and copied to the accountant; A risk management unit, which specifies the maximum amount of each credit sale, the annual credit sales amount, and the credit date according to different business types and business stratifications. If the amount exceeds the specified amount, it will be automatically reported and processed for approval; The accounts receivable processing unit is responsible for investigating and approving the establishment of customer credit files and the signing of contracts during the accounts receivable contract establishment stage, and for checking and approving the performance and supervision of contracts during the accounts receivable formation stage, and for preparing accounts receivable collection plans. During the accounts receivable collection stage, the unit is responsible for reviewing and approving the filing of contracts and changes to contracts, and for reviewing changed contracts every quarter and filing contracts every year; An accounting information processing unit optimizes the accounting information generation, verification, recording and storage links in the information transmission process of the computer accounting processing model.

[0005] Preferably, the intelligent arrangement unit includes a process optimization module and a payment grading module. The process optimization module introduces RPA technology to automatically identify the document type, call the matching document type, automatically identify the content in the document and the account information in the database, and compare them. If the comparison is consistent, an automatic payment application form is directly generated, otherwise it is submitted to the accounting person in charge for manual verification and modification of the document. After completion, the account information of the payment unit, payment amount and time is automatically identified, and then the account information in the database is compared. After the payment application form is generated, it is submitted to the accounting person in charge for approval, and then automatic payment is executed. If the accounting person in charge does not approve it, manual verification and modification are performed again. The payment grading module sets priority and non-priority business according to the payment method. Non-priority business is reported to the accounting person in charge for knowledge and queues for payment information. Priority business is automatically compared with the database and then automatically reviewed. If the automatic review fails, it is submitted to the accounting person in charge for manual review. After the manual review passes, it enters the automatic review. After the automatic review passes, it is submitted to the accounting person in charge for automatic payment application, and then the instruction execution center automatically completes the payment instruction of the funds.

[0006] Preferably, the reimbursement optimization unit includes an information recognition module, a classification review module and a result feedback module. The information recognition module uses OCR technology to scan the image and text of the bill, automatically recognizes and extracts the bill information, and then verifies the result and judges the abnormality of the automatically filled data. The classification review module sets the review rule commands in advance through RPA technology, classifies and organizes various types of reimbursement bills, and then automatically reviews the classified bill information. The result feedback module automatically records the review results and makes feedback when reviewing the reimbursement document. The unsuccessful reimbursement form is returned to the reimbursement personnel, and the reason for the unsuccessful application of the reimbursement form is automatically recorded.

[0007] Preferably, the reimbursement optimization unit also includes an expense review module. When the reimbursement applicant fills out the reimbursement form, the reimbursement staff fills out the expense reimbursement form according to the expense reimbursement template and uploads the original voucher of the reimbursement form. The information extracted by OCR scanning technology is reported to various departments for approval, and then the accounting person in charge reviews it. If the department fails to approve it, the reimbursement form will be re-filled after manual verification and modification to proceed with the reimbursement application process. After approval, the reimbursement information is automatically reviewed according to the verification algorithm. If the data is inconsistent after verification, the reimbursement information is automatically checked again. After the verification data is consistent, the funds are automatically paid. The verification is based on the credit rating of the reimbursement personnel. Those with higher credit ratings are given priority to pass the verification and then enter the automatic payment link.

[0008] Preferably, the risk management unit uses an operating asset model to analyze and determine the credit limit, and the operating asset model construction process is specifically as follows: First, determine the size of the client’s operating assets; Secondly, calculate the relevant solvency ratios, including the following indicators: current ratio, quick ratio, current liabilities to net assets ratio, debt to net assets ratio, and then calculate the valuation; ; in, represents the evaluation value, It represents the current ratio, current assets divided by current liabilities. The quick ratio is the current assets minus inventory divided by current liabilities. It represents the current liabilities to net assets ratio. It represents the debt-to-equity ratio, which is the total liabilities divided by the net assets; Finally, based on the customer's credit score, debt situation, asset status and income situation, the credit limit is determined and a credit risk team is established to monitor the entire credit risk process.

[0009] Preferably, during the accounts receivable contract establishment stage, when the contract is initially entered into the system, the accounts receivable processing unit evaluates the corporate customer and enters the breach of contract clause into the sales contract; during the accounts receivable formation stage, the accounts receivable collection plan is entered into the contract and the accounts receivable are entered into the information terminal; during the accounts receivable collection stage, the reasons for all customers who have not repaid are analyzed in a timely manner and the collection process is recorded; an accounts receivable collection plan is formed on the information terminal and the recovered accounts receivable are written off; and finally, the accounts receivable collection information is assessed.

[0010] Preferably, the accounting information processing unit includes an information generation module, which manages the accounting information generation link. The original voucher solidification mechanism based on blockchain is divided into three parts. First, after the information uploaded by the enterprise to the trust alliance chain is verified by the tax authorities and the commercial bank alliance nodes, the basic transaction information of the enterprise is recorded in the blockchain ledger to realize the distributed storage of the ledger. Secondly, a smart contract is signed, and the smart contract information is uploaded to the tax chain. The tax department writes the invoicing rules on the tax chain to verify and control the invoicing accurately, in real time and accurately. The invoicing enterprise enters the transaction order information and identity identification on the tax chain according to the contract that has been transferred to the new alliance chain. The taxpayer collects the invoice on the tax chain, the enterprise accepts the invoice, locks the invoice status, verifies the invoice and pays the reimbursement. Finally, after the enterprise signs a smart contract with the relevant transaction entities, the various departments of the enterprise upload the original voucher to the blockchain.

[0011] Preferably, the accounting information processing unit also includes an information verification module, an information recording module and an information custody module. The information verification module manages the accounting information verification link. The original vouchers generated by many cycles of the enterprise are directly transmitted to the alliance node and jointly confirmed by all alliance nodes. After reaching a consensus, the original vouchers generated by the procurement and payment business cycle and the sales and collection business cycle are recorded in the account book, thereby realizing the transformation from self-verification under the centralized accounting processing process to joint verification by alliance nodes. Within the enterprise, the production and inventory business cycle formed by the enterprise itself, the original vouchers generated thereby will be jointly verified by the alliance community. The information recording module manages the accounting information recording link. The blockchain technology embeds a distributed ledger. Each alliance node in the distributed ledger keeps accounts. After the original vouchers are solidified and jointly verified, the economic business of the original vouchers is recorded in the distributed ledger by the alliance node. Each alliance node has a ledger. The information custody module manages the accounting information custody link. The financial report will be converted into a distributed ledger, and the ledger is encrypted using an asymmetric encryption algorithm. The asymmetric encryption algorithm includes the RSA algorithm.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention can simplify the business payment process through the intelligent arrangement unit, synchronize the expense reimbursement information through the reimbursement optimization unit, optimize the data sharing of different systems and the automatic generation of financial statements through the reconciliation optimization unit, solve the problem of poor financial statement submission, and connect to the transaction tax chain through the accounting information processing unit, so as to achieve the integration of capital flow, contract flow and invoice flow and solve the problem of multiple reports for one ticket and false offset and false reporting; 2. The present invention establishes a credit risk system through a risk management unit and an accounts receivable processing unit, which can help enterprises optimize the accounts receivable management process, ensure that enterprises provide more flexible and favorable credit conditions to customers with good credit, and implement stricter credit conditions for high-risk customers to reduce the risk of default. The primary goal of establishing a credit risk system is to accurately assess the credit risk level of each customer. Through customer credit rating and risk analysis, enterprises can have a more comprehensive understanding of the customer's credit status, including key indicators such as default probability and financial stability, so as to make more informed risk decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A schematic diagram of the overall system structure provided by an embodiment of the present invention; Figure 2 A module block diagram of an intelligent scheduling unit provided in an embodiment of the present invention; Figure 3 A module block diagram of a reimbursement optimization unit provided in an embodiment of the present invention; Figure 4 A flow chart of an intelligent scheduling unit provided by an embodiment of the present invention; Figure 5 A flow chart of a reconciliation optimization unit provided in an embodiment of the present invention; Figure 6 A flowchart of a fee audit module provided by an embodiment of the present invention; Figure 7 A module block diagram of an accounting information processing unit provided in an embodiment of the present invention.

[0014] In the figure: 1. Intelligent scheduling unit; 101. Process optimization module; 102. Payment classification module; 2. Reimbursement optimization unit; 201. Information identification module; 202. Classification review module; 203. Result feedback module; 204. Expense review module; 3. Reconciliation optimization unit; 4. Risk management unit; 5. Accounts receivable processing unit; 6. Accounting information processing unit; 601. Information generation module; 602. Information verification module; 603. Information recording module; 604. Information storage module. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] See also Figures 1 to 7 The present invention provides a technical solution: an accounting automation monitoring and processing system, comprising the following units: Intelligent arrangement unit 1, which identifies and extracts information of accounting vouchers according to preset rules, compares the extracted information with the database, and issues payment sequence commands according to the payment amount and preset rules; Reimbursement Optimization Unit 2: Reimbursement Optimization Unit 2 automatically associates the budget of the organization to which the expense type belongs based on the bill information filled in by the reimbursement staff, and strictly controls the review of reimbursement expenses. Among them, OCR scanning technology is used to automatically identify the reimbursement form, and the scanned information is directly entered into the bill reimbursement system; Reconciliation Optimization Unit 3: Reconciliation Optimization Unit 3 pre-sets program instructions through RPA technology, automatically retrieves account passwords for authorized login, automatically searches for reconciliation statements, downloads and saves them, and converts them into structured data before saving them in the database. The accountant in charge then manually verifies the data. After the manual verification is correct, the data is resent to the database for comparison, and then the accounts are matched across systems for automatic reconciliation. After the account information is verified, the relevant reports are automatically generated and copied to the accountant in charge. Risk management unit 4: Risk management unit 4 specifies the maximum amount of each credit sale, the annual credit sales amount and the credit date according to different business types and business layers. If the amount exceeds the specified amount, it will be automatically reported and processed for approval; Accounts receivable processing unit 5: During the account receivable contract establishment stage, the account receivable processing unit 5 is responsible for investigating and approving the establishment of customer credit files and the signing of contracts. During the account receivable formation stage, it is responsible for checking and approving the performance and supervision of contracts, and preparing the account receivable collection plan. During the account receivable collection stage, it is responsible for reviewing and approving the filing of contracts and changes to contracts. It also reviews the changed contracts every quarter and the archived contracts every year. The accounting information processing unit 6 optimizes the accounting information generation link, verification link, recording link and storage link in the information transmission process of the computer accounting processing model.

[0017] The intelligent arrangement unit 1 includes a process optimization module 101 and a payment classification module 102. The process optimization module 101 introduces RPA technology to automatically identify the document type, call the matching document type, automatically identify the content in the document and the account information in the database, and compare them. If the comparison is consistent, an automatic payment application form is directly generated, otherwise it is submitted to the accounting person in charge for manual verification and modification of the document. After completion, the account information of the payment unit, payment amount and time is automatically identified, and then the account information in the database is compared. After the payment application form is generated, it is submitted to the accounting person in charge for approval, and then automatic payment is executed. If the accounting person in charge does not approve it, manual verification and modification are performed again. The payment classification module 102 sets priority and non-priority businesses according to the payment method. Non-priority businesses are reported to the accounting person in charge for knowledge and queue up for payment information. Priority businesses are automatically compared with the database and then automatically reviewed. If the automatic review fails, they are submitted to the accounting person in charge for manual review. After the manual review passes, it enters the automatic review. After the automatic review passes, it is submitted to the accounting person in charge for automatic payment application, and then the instruction execution center automatically completes the payment instruction of the funds; The reimbursement optimization unit 2 includes an information recognition module 201, a classification review module 202, and a result feedback module 203. The information recognition module 201 uses OCR technology to scan the image and text of the bill, automatically recognizes and extracts the bill information, and then verifies the result and judges the abnormality of the automatically filled data. The classification review module 202 uses RPA technology to set the review rule command in advance, classifies and organizes various types of reimbursement bills, and then automatically reviews the classified bill information. The result feedback module 203 automatically records the review results and gives feedback when reviewing the reimbursement documents. The unsuccessful reimbursement forms are returned to the reimbursement personnel, and the reasons for the unsuccessful application of the reimbursement forms are automatically recorded; The reimbursement optimization unit 2 also includes an expense review module 204. When the reimbursement applicant fills in the expense reimbursement form, the reimbursement staff fills in the expense reimbursement form according to the expense reimbursement template and uploads the original voucher of the reimbursement form. The information extracted by the OCR scanning technology is reported to various departments for approval, and then the person in charge of accounting reviews it. If the approval of each department is not passed, the reimbursement form is re-filled after manual verification and modification to carry out the reimbursement application process. After approval, the reimbursement information is automatically reviewed according to the verification algorithm. If the data is inconsistent after verification, the reimbursement information is automatically checked again. After the verification data is consistent, the funds are automatically paid for accounting. The verification is based on the credit rating of the reimbursement personnel. Those with higher credit ratings are given priority to pass the verification, and then enter the automatic payment link of funds; The verification algorithm includes data collection, system judgment and data statistical analysis. First, based on the reimbursement form information input integrity index, the degree of fit between theoretical integrity and actual integrity is judged to complete the reimbursement form information input integrity judgment. Then, the main indicators of the reimbursement form are analyzed. The initial location for entering reimbursement form information; ; in, Indicates the random position of the integrity indicator, represents the integrity index coefficient, represents the lateral coefficient of data mapping, Represents the longitudinal coefficient of data mapping, Represents the reimbursement form information entry integrity analysis function, Indicates the data entered into the expense report form. represents the completeness index, Indicates the completeness requirements for each indicator entry. express A random number in the range, Indicates conditional restrictions; Randomly select integrity indicators, make cross judgments, replace integrity indicators, and judge the integrity value of each expense report under the matching degree constraint. The indicator position calculation formula after indicator replacement is: ; in, Indicates the random position of the integrity indicator, represents the integrity index coefficient, represents the lateral coefficient of data mapping, Represents the longitudinal coefficient of data mapping, Indicates the integrity analysis function of reimbursement form information input after indicator replacement. Indicates the reimbursement form information after the indicator is replaced. Indicates the completeness requirements for each indicator entry. represents the completeness index, represents the data mapping distance, Indicates conditional restrictions; In-depth analysis of integrity indicators is based on the integrity rate As a basis, the best integrity index is obtained by calculating the completeness rate, and the integrity index is judged in the neighborhood to obtain the input information that meets the threshold. The judgment process formula is: ; in, Indicates the completeness rate, Indicates the random position of the integrity indicator, represents the integrity index coefficient, and They represent the complexity and depth of reimbursement form information entry, represents the fitness function between different integrity indicators, Indicates conditional restrictions; Risk management unit 4 uses the operating asset model to analyze and determine the credit limit. The specific process of building the operating asset model is as follows: First, determine the size of the client’s operating assets; Secondly, calculate the relevant solvency ratios, including the following indicators: current ratio, quick ratio, current liabilities to net assets ratio, debt to net assets ratio, and then calculate the valuation; ; in, represents the evaluation value, It represents the current ratio, current assets divided by current liabilities. The quick ratio is the current assets minus the inventory divided by the current liabilities. It represents the current liabilities to net assets ratio. It represents the debt-to-equity ratio, which is the total liabilities divided by the net assets; Finally, based on the customer's credit score, liabilities, assets and income, a credit limit is determined and a credit risk team is established to monitor the entire credit risk process; Accounts receivable processing unit 5: At the stage of establishing accounts receivable contracts, when the contracts are initially entered into the system, the corporate customers are evaluated and the breach of contract clauses are entered into the sales contracts. At the stage of forming accounts receivable, the collection plan for accounts receivable is entered into the contract and the accounts receivable are entered into the information terminal. At the stage of collecting accounts receivable, the reasons for all customers who have not repaid are analyzed in a timely manner and the collection process is recorded. A collection plan for accounts receivable is formed on the information terminal and the collected accounts receivable are written off. Finally, the collection information of accounts receivable is evaluated; The accounting information processing unit 6 includes an information generation module 601, which manages the accounting information generation link. The original voucher solidification mechanism based on the blockchain is divided into three parts. First, after the information uploaded by the enterprise to the trust alliance chain is verified by the tax authorities and the commercial bank alliance nodes, the basic transaction information of the enterprise is recorded in the blockchain account book to realize the distributed storage of the account book. Secondly, a smart contract is signed, and the smart contract information is uploaded to the tax chain. The tax department writes the invoicing rules on the tax chain to verify and control the invoicing accurately, in real time and accurately. The invoicing enterprise enters the transaction order information and identity identification on the tax chain according to the contract that has been transferred to the new alliance chain. The taxpayer receives the invoice on the tax chain, the enterprise accepts the invoice, locks the invoice status, verifies the receipt and pays the reimbursement. Finally, after the enterprise signs the smart contract with the relevant transaction subject, the various departments of the enterprise upload the original voucher to the blockchain; The accounting information processing unit 6 also includes an information verification module 602, an information recording module 603 and an information storage module 604. The information verification module 602 manages the accounting information verification link. The original vouchers generated by many cycles of the enterprise are directly transmitted to the alliance node and jointly confirmed by all alliance nodes. After reaching a consensus, the original vouchers generated by the procurement and payment business cycle and the sales and collection business cycle are recorded in the account book, thereby realizing the transformation from self-verification under the centralized accounting processing process to joint verification by the alliance nodes. Within the enterprise, the production and inventory business cycle formed by the enterprise itself, the original vouchers generated thereby will be jointly verified by the alliance community. The information recording module 603 manages the accounting information recording link. The blockchain technology embeds a distributed ledger. Each alliance node in the distributed ledger keeps accounts. After the original vouchers are solidified and jointly verified, the economic business of the original vouchers is recorded in the distributed ledger by the alliance node. Each alliance node has a ledger. The information storage module 604 manages the accounting information storage link. The financial report will be converted into a distributed ledger, and the ledger is encrypted using an asymmetric encryption algorithm, which includes an RSA algorithm.

[0018] Working principle: When the present invention is used, the information of accounting vouchers is extracted through the intelligent arrangement unit 1, and the extracted information is compared with the database to automatically generate a payment application form. According to the payment amount and the preset rules, a payment sequence command is issued, and priority and non-priority business are set according to the payment method. Non-priority business is reported to the accountant in charge and queued for payment information. Priority business is automatically checked after automatic comparison with the database. If the automatic review fails, it will be submitted to the accountant in charge for manual review. After the manual review is passed, it will enter the automatic review. After the automatic review is passed, it will be submitted to the accountant in charge for automatic payment application. Then the instruction execution center automatically completes the payment instruction of the funds, and the reimbursement optimization unit 2 automatically identifies and extracts the bill information, and then verifies the results and judges the abnormalities of the automatically filled data. The RPA technology is used to set the review rule command in advance, and the various types of reimbursement bills are classified and sorted. Then, the classified and sorted bill information is automatically reviewed, and the reimbursement expense review cycle is automatically reviewed. The account reconciliation optimization unit 3 uses RPA technology to pre-set program instructions, automatically retrieve the account password and authorize login, automatically search for the account statement, download and save it, and convert it into structured data and save it in the database. The person in charge of accounting will then conduct manual verification. After the manual verification is correct, the data will be resent to the database for comparison, and then the account will be matched across systems for automatic reconciliation. After the account information is verified, the relevant reports will be automatically generated. The risk management unit 4 specifies the maximum amount of each credit sale, the annual credit sales amount and the credit date according to different business types and business layers. If the amount exceeds the specified amount, it will be automatically reported and processed for approval. The accounts receivable processing unit 5 investigates and approves the establishment of customer credit files and the signing of contracts, checks and approves the performance of contracts and the supervision of contracts, and reviews and approves the archiving of contracts and changes to contracts. The accounting information processing unit 6 optimizes the accounting information generation, verification, recording and custody links in the information transmission process of the computer accounting processing model.

[0019] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0020] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An accounting automation monitoring and processing system, characterized in that: The following units are included: An intelligent arrangement unit (1), the intelligent arrangement unit (1) identifying and extracting information of accounting vouchers according to preset rules, comparing the extracted information with a database, and issuing a payment sequence command according to the payment amount and the preset rules; The reimbursement optimization unit (2) automatically associates the budget of the organization to which the expense type belongs based on the bill information filled in by the reimbursement staff, and strictly controls the reimbursement expense review process, wherein the reimbursement form is automatically identified using OCR scanning technology, and the scanned information is directly entered into the bill reimbursement system; The reconciliation optimization unit (3) pre-sets program instructions through RPA technology, automatically retrieves the account password for authorization login, automatically searches for the reconciliation statement, downloads and saves it, converts it into structured data and saves it in the database, and then the accounting person in charge performs manual verification. After the manual verification is correct, the data is resent to the database for comparison, and then the accounts are matched across systems for automatic reconciliation. After the account information is verified to be correct, the relevant report is automatically generated and copied to the accounting person in charge; A risk management unit (4), wherein the risk management unit (4) specifies the maximum amount of each credit sale, the annual credit sales amount, and the credit date according to different business types and business stratifications. If the amount exceeds the specified amount, it will be automatically reported and processed for approval; An accounts receivable processing unit (5), wherein the accounts receivable processing unit (5) is responsible for investigating and approving the establishment of a customer credit file and the signing of a contract during the accounts receivable contract establishment phase, and is responsible for checking and approving the performance of the contract and supervising the contract during the accounts receivable formation phase, and preparing a collection plan for accounts receivable. During the accounts receivable collection phase, the unit is responsible for reviewing and approving the filing of contracts and changes to contracts, and is responsible for reviewing changed contracts every quarter and reviewing filed contracts every year; An accounting information processing unit (6), wherein the accounting information processing unit (6) optimizes the accounting information generation link, verification link, recording link and storage link in the information transmission process of the computer accounting processing model.

2. The accounting automation monitoring and processing system according to claim 1 is characterized by: The intelligent arrangement unit (1) comprises a process optimization module (101) and a payment classification module (102). The process optimization module (101) introduces RPA technology to automatically identify the document type, call the matching document type, automatically identify the content in the document and the account information in the database, and compare them. If the comparison is consistent, an automatic payment application form is directly generated. Otherwise, it is submitted to the accounting person in charge for manual verification and modification of the document. After completion, the account information of the payment unit, payment amount and time is automatically identified, and then compared with the account information in the database. After the payment application form is generated, it is submitted to the accounting person in charge for approval, and then automatic payment is executed. If the accounting person in charge does not approve it, manual verification and modification are performed again. The payment classification module (102) sets two types of business, priority and non-priority, according to the payment method. Non-priority business is reported to the accounting person in charge for notification and queues for payment information. Priority business is automatically compared with the database and then automatically reviewed. If the automatic review fails, it is submitted to the accounting person in charge for manual review. After the manual review passes, it enters the automatic review. After the automatic review passes, it is submitted to the accounting person in charge for automatic payment application, and then the instruction execution center automatically completes the payment instruction of the funds.

3. The accounting automation monitoring and processing system according to claim 1 is characterized by: The reimbursement optimization unit (2) includes an information recognition module (201), a classification review module (202) and a result feedback module (203). The information recognition module (201) uses OCR technology to scan the image and text of the bill, automatically recognizes and extracts the bill information, and then verifies the result and judges the abnormality of the automatically filled data. The classification review module (202) uses RPA technology to set the review rule command in advance, classifies and organizes various types of reimbursement bills, and then automatically reviews the classified bill information. The result feedback module (203) automatically records the review results and gives feedback when reviewing the reimbursement documents, returns the rejected reimbursement forms to the reimbursement personnel, and automatically records the reasons for the rejection of the reimbursement form application.

4. The accounting automation monitoring and processing system according to claim 3 is characterized by: The reimbursement optimization unit (2) also includes an expense review module (204). When the reimbursement applicant fills in the reimbursement form, the reimbursement staff fills in the expense reimbursement form according to the expense reimbursement template and uploads the original voucher of the reimbursement form. The information extracted by the OCR scanning technology is reported to the various departments for approval, and then the accounting person in charge reviews it. If the approval of the various departments is not passed, the reimbursement form is manually verified and modified and then re-filled to carry out the reimbursement application process. After approval, the reimbursement information is automatically reviewed according to the verification algorithm. If the data is inconsistent after verification, the reimbursement information is automatically checked again. After the verification data is consistent, the funds are automatically paid. The verification is carried out according to the credit rating of the reimbursement personnel. Those with higher credit ratings are given priority to pass the verification and then enter the automatic payment link.

5. The accounting automation monitoring and processing system according to claim 1 is characterized by: The risk management unit (4) uses the operating asset model to analyze and determine the credit limit. The operating asset model construction process is specifically as follows: First, determine the size of the client’s operating assets; Secondly, calculate the relevant solvency ratios, including the following indicators: current ratio, quick ratio, current liabilities to net assets ratio, debt to net assets ratio, and then calculate the valuation; ； in, represents the evaluation value, It represents the current ratio, current assets divided by current liabilities. The quick ratio is the current assets minus the inventory divided by the current liabilities. It represents the current liabilities to net assets ratio. It represents the debt-to-equity ratio, which is the total liabilities divided by the net assets; Finally, based on the customer's credit score, debt situation, asset status and income situation, the credit limit is determined and a credit risk team is established to monitor the entire credit risk process.

6. The accounting automation monitoring and processing system according to claim 1 is characterized by: The accounts receivable processing unit (5) evaluates the corporate customer and enters the breach of contract clause into the sales contract during the accounts receivable contract establishment phase and the contract is initially entered into the system. During the accounts receivable formation phase, the accounts receivable collection plan is entered into the contract and the accounts receivable are entered into the information terminal. During the accounts receivable collection phase, the reasons for all customers who have not repaid are analyzed in a timely manner and the collection process is recorded. The accounts receivable collection plan is formed on the information terminal and the accounts receivable that have been collected are written off. Finally, the accounts receivable collection information is evaluated.

7. The accounting automation monitoring and processing system according to claim 1 is characterized by: The accounting information processing unit (6) includes an information generation module (601), which manages the accounting information generation process. The original voucher solidification mechanism based on the blockchain is divided into three parts. First, after the information uploaded by the enterprise to the trust alliance chain is verified by the tax authorities and the commercial bank alliance nodes, the basic transaction information of the enterprise is recorded in the blockchain account book to realize the distributed storage of the account book. Secondly, a smart contract is signed, and the smart contract information is uploaded to the tax chain. The tax department writes the invoicing rules on the tax chain to verify and control the invoicing accurately, in real time and accurately. The invoicing enterprise enters the transaction order information and identity identification on the tax chain according to the contract that has been transferred to the new alliance chain. The taxpayer receives the invoice on the tax chain, the enterprise accepts the invoice, locks the invoice status, verifies the invoice and pays the reimbursement. Finally, after the enterprise signs the smart contract with the relevant transaction subjects, the various departments of the enterprise upload the original voucher to the blockchain.

8. The accounting automation monitoring and processing system according to claim 7 is characterized by: The accounting information processing unit (6) further comprises an information verification module (602), an information recording module (603) and an information storage module (604). The information verification module (602) manages the accounting information verification link. The original vouchers generated by the enterprise through many cycles are directly transmitted to the alliance node and jointly confirmed by all the alliance nodes. After reaching a consensus, the original vouchers generated by the purchase and payment business cycle and the sales and collection business cycle are recorded in the account book, thereby realizing the transformation from self-verification under the centralized accounting processing process to joint verification by the alliance nodes. Within the enterprise, the original vouchers generated by the production and inventory business cycle formed by the enterprise itself will be jointly verified by the alliance community. The information recording module (603) manages the accounting information recording link. The blockchain technology embeds a distributed ledger. Each alliance node in the distributed ledger records accounts. After the original vouchers are solidified and jointly verified, the economic business of the original vouchers is recorded in the distributed ledger by the alliance node. Each alliance node has a copy of the ledger. The information storage module (604) manages the accounting information storage link. The financial report will be converted into a distributed ledger.

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