Financial comprehensive auditing method and system

Abstract

The invention discloses a financial comprehensive auditing method and system, and the method comprises the steps: deploying a financial smart contract on a block chain, carrying out the modular design of the smart contract, and enabling each sub-module to correspond to a department; configuring an auditing rule template for each sub-module, and customizing auditing rules by corresponding departments based on the auditing rule templates; analyzing auditing rules of all departments based on a decision tree algorithm, and generating auditing check points; based on an intelligent contract event monitoring mechanism, auditing check points of all departments are monitored in real time, when a detection event does not accord with a corresponding auditing rule, early warning is carried out, and an auditing report is generated; the audit report is analyzed regularly, audit rules of all departments are updated based on analysis results, and the audit rules are encrypted and deployed on the block chain; and comprehensively auditing the finance of each department based on the updated auditing rule. According to the invention, high efficiency, flexibility and safety of financial auditing are realized through technical means of modular design, version control, real-time monitoring, data analysis and the like.

Description

Technical Field

[0001] The present invention belongs to the technical field of financial management, and in particular relates to a comprehensive financial audit method and system. Background Art

[0002] In corporate financial management, the modular design of smart contracts and the flexible configuration of audit rules face a core technical problem, namely how to ensure the rigor of the audit process and the immutability of data while ensuring the flexibility and configurability of audit rules. The differences in business processes of different departments lead to different complexities in financial processing rules. How to ensure that audit rules can accurately cover the actual business processes of various departments under such complexity is very critical.

[0003] Especially when the company's financial policies change, the version control system of the smart contract needs to be able to effectively manage the update and iteration of the contract, but at the same time, it must retain the audit records of the historical versions to ensure the continuity and fairness of the audit process. This has caused a technical contradiction: on the one hand, the audit rules need to be highly flexible to adapt to the business needs of different departments and changes in financial processing rules; on the other hand, the update and operation records of the audit rules must be tamper-proof to ensure the security and integrity of the data.

[0004] In addition, how to use decision tree algorithms to automatically generate targeted audit checkpoints in complex financial processing rules to improve audit efficiency and accuracy is also a technical difficulty. The complexity of financial processing rules in different departments varies. How to ensure that the generated audit checkpoints can cover all key operations without missing potential risk points is very critical. At the same time, the event monitoring mechanism of smart contracts needs to monitor key financial operations in corporate operations in real time. Once an operation that does not conform to the preset audit rules is detected, an audit alarm must be triggered immediately and intervention must be carried out. The balance between this real-time requirement and the complexity of audit rules is also a technical challenge.

[0005] Finally, how to use machine learning algorithms to analyze historical audit data, identify potential risk patterns and abnormal behaviors, and continuously optimize audit rules to further improve the adaptability and predictive ability of the smart contract audit rule module is also a problem that needs to be solved. Although the introduction of machine learning algorithms can improve the intelligence level of audit rules, how to ensure the accuracy and interpretability of its analysis results, especially when facing complex financial processing rules, is still a technical problem that needs to be solved urgently.

[0006] In summary, there is an urgent need to propose a comprehensive financial audit method and system so that smart contracts can remain tamper-proof while also being able to flexibly respond to changes in corporate operations. Summary of the invention

[0007] In order to solve the above technical problems, the present invention proposes a comprehensive financial audit method and system, which can update the audit rules in the smart contract without destroying the tamper-proof nature of the blockchain data, and ensure that these updates can both quickly respond to corporate needs and maintain the strictness and fairness of the audit process, so as to solve the problems existing in the above-mentioned prior art.

[0008] To achieve the above object, the present invention provides a comprehensive financial audit method, comprising the following steps:

[0009] Deploy financial smart contracts on the blockchain and design the smart contracts in a modular way, with each submodule corresponding to a department;

[0010] An audit rule template is configured for each submodule, and the corresponding department customizes the audit rules based on the audit rule template;

[0011] Analyze the audit rules of each department based on the decision tree algorithm and generate audit checkpoints;

[0012] Based on the smart contract event monitoring mechanism, the audit checkpoints of each department are monitored in real time. When the detected event does not conform to the corresponding audit rules, an early warning is issued and an audit report is generated;

[0013] Regularly analyze the audit reports, update the audit rules of each department based on the analysis results, and encrypt and deploy them on the blockchain;

[0014] Conduct comprehensive audits of each department's finances based on updated audit rules.

[0015] Optionally, a version control system based on the smart contract is also included to manage the update and iteration of the smart contract in real time. The process includes:

[0016] Obtain the version information of the current smart contract, and determine whether it meets the current financial policy through the version control system. If not, automatically obtain the latest version of the smart contract from the version control system and encrypt and deploy it to the blockchain.

[0017] Optionally, an audit rule template is configured for each submodule, and the process of the corresponding department customizing the audit rule based on the audit rule template includes:

[0018] Based on data mining technology, the actual operation data of each department is analyzed to match the audit rule template for each department; the difference data of each department is obtained, and the respective audit rule templates are adaptively adjusted based on the difference data; each department customizes the audit rules based on the adjusted audit rule template in a parameterized manner based on its own business processes and audit needs.

[0019] Optionally, the process of analyzing the audit rules of each department based on the decision tree algorithm and generating audit checkpoints includes:

[0020] Collect financial processing data from each department, including but not limited to transaction records, audit reports and financial statements; use decision tree algorithm to train the model of the collected financial processing data; obtain the potential risk points of each department based on the training results; use risk assessment model to quantify the potential risk points of each department and obtain risk assessment results; based on the risk assessment results, automatically generate audit checkpoints associated with the department.

[0021] Optionally, based on the smart contract event monitoring mechanism, the audit checkpoints of each department are monitored in real time. When the detected event does not conform to the corresponding audit rules, an early warning is issued and the process of generating an audit report includes:

[0022] Based on the event monitoring mechanism of smart contracts, all financial activities of the enterprise are tracked in real time and detailed data of each transaction is recorded. The captured detailed data is compared with the corresponding audit rules, and the transaction pattern is analyzed using machine learning algorithms to identify illegal operations, trigger audit alerts, mark relevant financial records, and generate audit results. At the same time, relevant financial operators are warned for immediate intervention. All audit results and intervention measures are recorded to form an audit report.

[0023] The present invention also provides a financial comprehensive audit system for implementing a financial comprehensive audit method, comprising: a modular management module, an audit rule matching module, a real-time monitoring module, an audit rule updating module and a comprehensive audit module;

[0024] The modular management module is used to deploy financial smart contracts on the blockchain and to perform modular design on the smart contracts, with each submodule corresponding to a department;

[0025] The rule matching module is used to configure an audit rule template for each submodule, and the corresponding department customizes the audit rule based on the audit rule template;

[0026] The real-time monitoring module is used to analyze the audit rules of each department based on the decision tree algorithm and generate audit checkpoints; and is used to monitor the audit checkpoints of each department in real time based on the smart contract event monitoring mechanism, and when the detected event does not comply with the corresponding audit rules, an early warning is issued and an audit report is generated;

[0027] The audit rule update module is used to regularly analyze the audit report, update the audit rules of each department based on the analysis results, and encrypt and deploy them on the blockchain;

[0028] The comprehensive audit module is used to conduct a comprehensive audit of the finances of each department based on updated audit rules.

[0029] Optionally, it also includes a smart contract update module, which is used to obtain the version information of the current smart contract and determine whether it meets the current financial policy through the version control system. If not, it automatically obtains the latest version of the smart contract from the version control system and encrypts and deploys it on the blockchain.

[0030] The present invention also provides an electronic device, comprising: a memory and a processor; the memory is used to store a program; the processor is used to execute the program to implement each step of the comprehensive financial audit method.

[0031] The present invention also provides a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, each step of the comprehensive financial audit method is implemented.

[0032] Compared with the prior art, the present invention has the following advantages and technical effects:

[0033] The present invention discloses a comprehensive financial audit method and system, which divides the smart contract into multiple sub-modules, each sub-module corresponds to a specific department, and designs a configurable audit rule template in combination with the differences in departmental business processes, allowing different departments to customize the audit logic according to their business characteristics, thereby ensuring that the audit logic is highly matched with the actual operation process of the enterprise.

[0034] The present invention manages the update and iteration of the contract through the version control mechanism of the smart contract, ensuring that a new version of the smart contract can be deployed in a timely manner when the company's financial policies or business processes change, while retaining the audit records of historical versions to ensure the strictness and fairness of the audit process.

[0035] The present invention utilizes a decision tree algorithm to analyze the financial processing rules of each department, automatically generates targeted audit checkpoints, and improves audit efficiency and accuracy.

[0036] The present invention uses a smart contract event monitoring mechanism to monitor key financial operations in real time, trigger audit alarms in a timely manner, and ensure the timeliness and effectiveness of the audit.

[0037] The present invention combines blockchain technology to ensure the non-tamperability of audit rules and operation records, and uses encryption technology to ensure the security and integrity of data.

[0038] The present invention regularly analyzes audit reports, and based on the analysis results, continuously updates the audit rules of various departments, thereby improving the adaptability and predictive ability of the audit.

[0039] Finally, the present invention realizes the efficiency, flexibility and security of financial auditing through technical means such as modular design, version control, real-time monitoring and data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0041] Figure 1 A flowchart of a comprehensive financial audit method according to an embodiment of the present invention;

[0042] Figure 2 Schematic diagram of a comprehensive financial audit system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0044] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0045] Embodiment 1

[0046] like Figure 1 As shown, this embodiment provides a financial comprehensive audit method, including the following steps:

[0047] Deploy financial smart contracts on the blockchain and design the smart contracts in a modular way, with each submodule corresponding to a department;

[0048] Configure an audit rule template for each sub-module, and the corresponding department customizes the audit rules based on the audit rule template;

[0049] Analyze the audit rules of each department based on the decision tree algorithm and generate audit checkpoints;

[0050] Based on the smart contract event monitoring mechanism, the audit checkpoints of each department are monitored in real time. When the detected event does not conform to the corresponding audit rules, an early warning is issued and an audit report is generated;

[0051] Audit reports are analyzed regularly, and the audit rules of each department are updated based on the analysis results and deployed on the blockchain in an encrypted manner. Finally, a comprehensive audit of the finances of each department is conducted based on the updated audit rules.

[0052] As a specific embodiment, this embodiment deploys financial smart contracts on the blockchain and performs modular design on the smart contracts. Each submodule corresponds to a specific financial subject or department. In this way, each module can be audited and managed independently, thereby improving the flexibility and maintainability of the entire system. Exemplarily, in the design of smart contracts, a modular approach can be adopted to divide the contract into multiple submodules. For example, an asset management module, a human resources module, and a financial report module can be set up, and each module is responsible for a specific business function.

[0053] Furthermore, this embodiment needs to manage the update and iteration of the smart contract through the version control system of the smart contract. When the company's financial policy changes or the business process needs to be adjusted, the change can be responded to by deploying a new version of the smart contract, while retaining the audit records of the historical version to ensure the strictness and fairness of the audit process.

[0054] Specifically, obtain the version information of the current smart contract, and use the version control system to determine whether it meets the requirements for changes in financial policies. If an update is required, automatically obtain the latest version of the smart contract from the version control system and deploy it to the blockchain. During the deployment process, the system automatically performs security review and performance testing of the contract code. All records of deployment and update activities of smart contracts are encrypted and stored on the blockchain, and this information is reviewed in detail through the audit module. According to the adjustment requirements of the business process, obtain the historical version of the smart contract from the version control system, compare the differences between different versions, and determine the specific content of the adjustment. Redeploy the adjusted new version of the smart contract to the blockchain, and update the relevant business process documents. The audit results are recorded and stored. Through the change response mechanism of the smart contract, monitor changes in external policies or market environment, and automatically trigger the update process of the smart contract.

[0055] As an implementable method, the version information of the current smart contract is obtained, and the version control system is used to determine whether the requirements for changes in financial policies are met. For example, the system first extracts the version number "v3" of the current smart contract from the blockchain and compares it with the latest version "v5" in the version control system. The version control system has a built-in requirement library for changes in financial policies. Through comparison, it is found that the "v3" version does not contain the latest financial policy changes, such as the tax rate adjustment from 5% to 6%. The system automatically obtains the latest version of the smart contract "v5" from the version control system and deploys it to the blockchain. During the deployment process, the system uses static code analysis tools such as "SonarQube" to conduct a security review of the contract code, detecting potential security vulnerabilities and code quality issues, such as unhandled exceptions and cyclic redundancy. At the same time, the performance testing tool "Ganache" is used to simulate the operation of the contract in a high-concurrency environment to ensure that the contract execution efficiency meets the requirements, such as TPS (transactions per second) is not less than 1000. All deployment and update activity records of smart contracts are encrypted and stored on the blockchain, and this information is reviewed in detail through the audit module. For example, the timestamp, operator ID, contract version number and other information of each deployment and update activity are hashed and written to the blockchain. The audit module uses the "SHA-256" algorithm to verify the records to ensure that the data cannot be tampered with. According to the adjustment requirements of the business process, the system obtains the historical versions "v3" and "v4" of the smart contract from the version control system, and compares the differences between different versions through the "Git Diff" tool. It is found that the "v4" version adds support for new financial accounts, while the "v5" version further optimizes the data processing logic. The adjusted new version of the smart contract "v5" is redeployed to the blockchain, and the relevant business process documents are updated. For example, the system automatically generates a document containing the functional description and operation guide of the new version of the contract, and synchronizes it to the internal knowledge base of the enterprise through the "Confluence" tool. The audit results are recorded and stored, and the system uses "Elasticsearch" to index and store the audit data for subsequent query and analysis. Through the change response mechanism of the smart contract, the changes in external policies or market environment are monitored, and the update process of the smart contract is automatically triggered. For example, the system accesses external data sources such as the "Government Open Data Platform" to monitor changes in tax rates, regulations and other policies in real time. Once the tax rate is detected to be adjusted from 6% to 7%, the system immediately triggers the smart contract update process, obtains the contract version "v6" containing the new tax rate from the version control system, and automatically deploys it to the blockchain. The entire process does not require manual intervention, ensuring that the smart contract is always consistent with the latest policies, improving the compliance and efficiency of financial management.

[0056] As a specific embodiment, this embodiment configures an audit rule template for each submodule, and the corresponding department customizes the audit rules based on the audit rule template, thereby ensuring that the audit logic coverage of financial subjects is highly matched with the actual operation process of the enterprise.

[0057] Furthermore, this embodiment creates a basic audit rule framework through template design, which supports rule configuration to adapt to the business characteristics of different departments. For process matching, the actual operation data of the department is analyzed through data mining technology, and the most suitable audit logic is automatically recommended to reduce the need for manual configuration. The department difference data is obtained, and the business characteristics of each department are analyzed. Based on this, the audit template is adjusted to ensure that the financial accounts of each department are highly matched with its business operations. On this basis, a parameterized approach is adopted to allow departments to customize audit rules through interfaces or APIs according to their own business processes and audit needs, thereby realizing personalized settings of audit rules.

[0058] As a specific embodiment, this embodiment analyzes the audit rules of each department based on a decision tree algorithm and generates audit checkpoints to improve audit efficiency and accuracy.

[0059] Furthermore, through data input, the financial processing data of each department is collected, including but not limited to transaction records, audit reports and financial statements. The decision tree algorithm is used to train the model of the collected data to analyze the complexity of the financial processing rules of each department. According to the training results, the audit checkpoints for each department are automatically generated, which will be directly related to the complexity of the rules and potential risk points. The risk assessment model is used to quantify the potential risks of each department and obtain the risk assessment results. According to the risk assessment results, the audit checkpoints associated with the department are automatically generated to ensure that the checkpoints can cover all important business processes and risk points. Through the risk control strategy, the generated checkpoints are optimized to ensure the effectiveness of risk management. Through the result correlation analysis, the effectiveness of each checkpoint is judged, so as to continuously optimize the audit process. Through the business process analysis, the checkpoints are further refined to ensure that they are closely related to the actual operations of the department. Finally, all audit checkpoints are monitored through the risk management system to ensure that the risks of each department are effectively managed.

[0060] This embodiment is feasible. It monitors the audit checkpoints of each department in real time based on the smart contract event monitoring mechanism. When the detected event does not comply with the corresponding audit rules, it issues an early warning and generates an audit report. It regularly analyzes the audit reports, updates the audit rules of each department based on the analysis results, and encrypts and deploys them on the blockchain. Finally, it conducts a comprehensive audit of the finances of each department based on the updated audit rules.

[0061] Furthermore, through the event monitoring mechanism of the smart contract, the system first tracks all the financial activities of the enterprise in real time and records the detailed information of each transaction, including the transaction time, amount and participants. This step ensures the complete capture of all key information and provides basic data for subsequent audits. Subsequently, the system compares the captured data with the preset audit rules, uses machine learning algorithms to analyze transaction patterns, and identifies possible violations. This algorithm is trained based on historical data and can automatically adapt to new transaction patterns to improve the accuracy of violation detection. Once the system detects a violation, it immediately triggers an audit alarm and marks the relevant financial records. The alarm system not only notifies the audit department, but also warns the relevant financial operators through the internal messaging system to achieve immediate intervention. In order to further improve the response speed and processing power of the system, distributed computing technology is used to distribute data processing tasks to multiple servers for execution. This can avoid single points of failure while ensuring data processing speed and enhance the stability and reliability of the system. The system also records all audit results and intervention measures to form audit reports. These reports will be analyzed regularly to optimize audit rules and improve the overall performance of the system. Through continuous optimization and adjustment of key monitoring points, the system can more accurately identify and handle potential financial risks, thereby protecting enterprises from improper financial operations.

[0062] Then, based on the machine learning algorithm, the historical audit results are analyzed to identify potential risk patterns and abnormal behaviors, and the audit rules are continuously optimized to improve the adaptability and prediction ability of the smart contract audit rule module. Specifically, the historical audit data of smart contracts is obtained, and the data is preprocessed, including data cleaning and feature extraction, and the processed data is used as the input of the machine learning algorithm. Select a suitable machine learning algorithm, such as decision tree, support vector machine or neural network, and train the algorithm model based on the historical audit data to obtain the judgment rules of risk patterns and abnormal behaviors. Apply the trained machine learning model to the audit rule module of the smart contract, conduct risk assessment and abnormal behavior detection on the new smart contract, and determine whether there are potential security risks. According to the prediction results of the machine learning model, the smart contract audit rules are dynamically adjusted and optimized to improve the pertinence and effectiveness of the audit rules and reduce the occurrence of false positives and false negatives. Continuously collect the audit data and feedback information of smart contracts, and regularly retrain and optimize the machine learning model so that it can adapt to the ever-changing smart contract ecological environment and maintain a high prediction accuracy. Apply the optimized smart contract audit rules to the audit system, automatically scan and analyze the contract code, identify potential security vulnerabilities and violations, and generate audit reports and risk warnings. Establish a monitoring and early warning mechanism for smart contract audits to monitor the operation status and transaction behavior of the contract in real time. Once an abnormal situation is found, trigger the alarm in time and take corresponding disposal measures to minimize risk losses.

[0063] Furthermore, this embodiment realizes the immutability of smart contracts through blockchain technology. All audit rule updates and operation records will be recorded on the blockchain, and encryption technology is used to ensure the security and integrity of the data.

[0064] Specifically, blockchain technology is used to build a distributed ledger system, and audit rules are deployed in the blockchain network in the form of smart contracts to ensure that the audit rules cannot be tampered with. Cryptographic algorithms are used to encrypt transaction data in the blockchain network to ensure the confidentiality and integrity of data on the chain and prevent data from being illegally tampered with. The update request for the audit rules is obtained, and the legitimacy of the request is verified. If the verification is passed, the update request is sent to the blockchain network as a transaction and waits for consensus confirmation. After the blockchain network reaches a consensus, the updated content of the audit rules is written into a new block and linked to the existing blockchain to form a new rule version, while retaining historical version records. For all operations in the audit process, such as data entry, review, and re-examination, they are sent to the blockchain network in the form of transactions for evidence storage to ensure that the operation process is traceable and non-repudiable. The timestamp mechanism of the blockchain is used to generate a unique timestamp for each operation record to form a time-series evidence chain of the operation, providing a credible basis for post-audit. Based on the event-driven mechanism of the blockchain, compliance audit rules are set to monitor the transaction data on the chain in real time. If illegal transactions are found, warnings are automatically triggered and handled according to the rules. This embodiment ensures the security and compliance of the contract and improves the overall audit efficiency and accuracy through this multi-level and multi-dimensional smart contract audit mechanism.

[0065] like Figure 2 As shown, this embodiment also provides a financial comprehensive audit system for implementing a financial comprehensive audit method, and the two are mutually contrasted in effect, specifically including: a modular management module, an audit rule matching module, a real-time monitoring module, an audit rule updating module and a comprehensive audit module;

[0066] The modular management module is used to deploy financial smart contracts on the blockchain and to design smart contracts in a modular way, with each submodule corresponding to a department.

[0067] The rule matching module is used to configure an audit rule template for each submodule, and the corresponding department customizes the audit rule based on the audit rule template;

[0068] The real-time monitoring module is used to analyze the audit rules of each department based on the decision tree algorithm and generate audit checkpoints; and is used to monitor the audit checkpoints of each department in real time based on the smart contract event monitoring mechanism. When the detected event does not conform to the corresponding audit rules, an early warning is issued and an audit report is generated;

[0069] The audit rule update module is used to regularly analyze the audit report, update the audit rules of each department based on the analysis results, and encrypt and deploy them on the blockchain;

[0070] The comprehensive audit module is used to conduct comprehensive audits of the finances of various departments based on updated audit rules.

[0071] The implementation may also include a smart contract update module, which is used to obtain the version information of the current smart contract and determine whether it meets the current financial policy through the version control system. If not, the latest version of the smart contract is automatically obtained from the version control system and encrypted and deployed on the blockchain.

[0072] Embodiment 2

[0073] The present invention also provides an electronic device, comprising: a memory and a processor; the memory is used to store a program; the processor is used to execute the program to implement each step of the comprehensive financial audit method.

[0074] Embodiment 3

[0075] The present invention also provides a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, each step of the comprehensive financial audit method is implemented.

[0076] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A comprehensive financial audit method, characterized in that: The following steps are involved: Deploy financial smart contracts on the blockchain and design the smart contracts in a modular way, with each submodule corresponding to a department; An audit rule template is configured for each submodule, and the corresponding department customizes the audit rules based on the audit rule template; Analyze the audit rules of each department based on the decision tree algorithm and generate audit checkpoints; Based on the smart contract event monitoring mechanism, the audit checkpoints of each department are monitored in real time. When the detected event does not conform to the corresponding audit rules, an early warning is issued and an audit report is generated; Regularly analyze the audit reports, update the audit rules of each department based on the analysis results, and encrypt and deploy them on the blockchain; Conduct comprehensive audits of each department's finances based on updated audit rules.

2. The comprehensive financial audit method according to claim 1, characterized in that: It also includes a smart contract-based version control system to manage the update and iteration of smart contracts in real time. The process includes: Obtain the version information of the current smart contract, and determine whether it meets the current financial policy through the version control system. If not, automatically obtain the latest version of the smart contract from the version control system and encrypt and deploy it to the blockchain.

3. The comprehensive financial audit method according to claim 1, characterized in that: An audit rule template is configured for each submodule, and the process of the corresponding department customizing the audit rule based on the audit rule template includes: Based on data mining technology, the actual operation data of each department is analyzed to match the audit rule template for each department; the difference data of each department is obtained, and the respective audit rule templates are adaptively adjusted based on the difference data; each department customizes the audit rules based on the adjusted audit rule template in a parameterized manner based on its own business processes and audit needs.

4. The comprehensive financial audit method according to claim 1, characterized in that: The process of analyzing the audit rules of each department based on the decision tree algorithm and generating audit checkpoints includes: Collect financial processing data from each department, including but not limited to transaction records, audit reports and financial statements; use decision tree algorithm to train the model of the collected financial processing data; obtain the potential risk points of each department based on the training results; use risk assessment model to quantify the potential risk points of each department and obtain risk assessment results; based on the risk assessment results, automatically generate audit checkpoints associated with the department.

5. The comprehensive financial audit method according to claim 1, characterized in that: Based on the smart contract event monitoring mechanism, the audit checkpoints of each department are monitored in real time. When the detected event does not conform to the corresponding audit rules, an early warning is issued and the process of generating an audit report includes: Based on the event monitoring mechanism of smart contracts, all financial activities of the enterprise are tracked in real time and detailed data of each transaction is recorded. The captured detailed data is compared with the corresponding audit rules, and the transaction pattern is analyzed using machine learning algorithms to identify illegal operations, trigger audit alerts, mark relevant financial records, and generate audit results. At the same time, relevant financial operators are warned for immediate intervention. All audit results and intervention measures are recorded to form an audit report.

6. A comprehensive financial audit system, characterized in that: The method for implementing the comprehensive financial audit method according to any one of claims 1 to 5 comprises: a modular management module, an audit rule matching module, a real-time monitoring module, an audit rule updating module and a comprehensive audit module; The modular management module is used to deploy financial smart contracts on the blockchain and to perform modular design on the smart contracts, with each submodule corresponding to a department; The rule matching module is used to configure an audit rule template for each submodule, and the corresponding department customizes the audit rule based on the audit rule template; The real-time monitoring module is used to analyze the audit rules of each department based on the decision tree algorithm and generate audit checkpoints; and is used to monitor the audit checkpoints of each department in real time based on the smart contract event monitoring mechanism, and when the detected event does not comply with the corresponding audit rules, an early warning is issued and an audit report is generated; The audit rule update module is used to regularly analyze the audit report, update the audit rules of each department based on the analysis results, and encrypt and deploy them on the blockchain; The comprehensive audit module is used to conduct a comprehensive audit of the finances of each department based on updated audit rules.

7. The comprehensive financial audit system according to claim 6, characterized in that: It also includes a smart contract update module, which is used to obtain the version information of the current smart contract and determine whether it meets the current financial policy through the version control system. If not, it automatically obtains the latest version of the smart contract from the version control system and encrypts and deploys it on the blockchain.

8. An electronic device, characterized in that: include: Memory and processor; The memory is used to store programs; The processor is used to execute the program to implement each step of the comprehensive financial audit method as described in any one of claims 1-5.

9. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the comprehensive financial audit method as described in any one of claims 1 to 5 is implemented.

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