Safety compliance system for incorporating enterprise carbon credit qualification into financial statement
Through blockchain technology and intelligent audit rules engine, carbon credit qualification data is automatically collected, reviewed and encrypted, which solves the problem of low level of informationization of carbon credit qualifications in the enterprise financial management system, and achieves efficient and secure carbon credit qualification management and financial statement integration.
Patent Information
- Application Number
- CN202510428211.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-08
- Publication Date
- 2025-08-19
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The degree of informationization of carbon credit qualifications in the existing corporate financial management system is low, and the carbon credit qualifications are not fully reflected in the financial statements, resulting in untimely and low accuracy of data updates, making it difficult for investors and stakeholders to evaluate the status of the company's carbon assets.
Design a secure and compliant system, adopt blockchain technology for decentralized verification and encrypted storage, combines intelligent audit rules engine and machine learning to automatically collect, review and store carbon credit qualification data, and integrate it into financial statements, supporting output in multiple formats.
Real-time collection, verification and encryption of carbon credit qualification information is realized, data processing efficiency and accuracy are improved, manual intervention and error rates are reduced, data security and compliance are ensured, and the accuracy and transparency of financial statements are improved.
Smart Images

Figure CN120509987A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of information encryption technology, and more specifically, relates to a system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements. Background Art
[0002] With the signing of the Paris Agreement, countries around the world are actively responding to climate change, leading to rapid development of the carbon trading market. By managing carbon credit qualifications, companies can trade carbon assets in the carbon market, achieving a win-win situation for both environmental and economic benefits. However, existing corporate financial management practices often face the following issues in recording, managing, and reporting carbon credit qualifications: The level of informatization of carbon credit qualifications is low, and most companies still use manual records and paper reports.
[0003] The value of carbon credit qualifications is not fully reflected in corporate financial statements, making it difficult for investors and stakeholders to assess the company's carbon asset status.
[0004] The existing financial management system lacks a dedicated management module for carbon credit qualifications, resulting in untimely data updates and low information accuracy. Summary of the Invention
[0005] In order to solve the above technical problems, the present invention provides a system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements to solve the above problems.
[0006] A system that securely and compliantly incorporates corporate carbon credit qualifications into financial statements, including: a data collection and entry module, which is used to collect corporate carbon emission data, emission reduction project information and carbon asset transaction records, and supports manual entry, file import and API interface; a data verification and audit module, which implements decentralized verification based on blockchain technology and integrates an intelligent audit rule engine to automatically audit data compliance according to preset rules; a data encryption and storage module, which uses national secret algorithms to encrypt audited data and stores it in a distributed database of the blockchain network; a financial report generation and output module, which integrates encrypted carbon credit qualification information into corporate financial reports, and supports PDF and Excel format output and compliance checks.
[0007] Preferably, the intelligent audit rule engine allows users to customize audit rules, including data integrity, logical consistency and compliance with international carbon trading standards. The blockchain network automatically executes transaction record verification and update of carbon credit qualifications through smart contracts. The data collection and entry module is integrated with the enterprise ERP and MES systems to capture carbon credit-related data in real time. The system also includes an intelligent analysis tool for analyzing the impact of carbon credit qualifications on financial indicators and providing emission reduction strategies and financial statement optimization suggestions. The data encryption and storage module adopts a key management system to dynamically allocate encryption keys and implement a tiered storage strategy. The financial statement generation and output module supports multi-language report templates and is embedded with regional compliance checking functions.
[0008] A method for safely and compliantly incorporating corporate carbon credit qualifications into financial statements includes the following steps: collecting carbon credit qualification data through a multi-source data interface; verifying the authenticity and integrity of the data using a blockchain network; invoking an intelligent audit rule engine to perform automatic compliance audits; encrypting the audited data and storing it in a distributed database; generating financial statements that integrate carbon credit information and synchronizing them to the corporate financial system via an API. The intelligent audit rule engine uses a machine learning model to identify data anomalies and optimizes audit accuracy in small sample scenarios through transfer learning.
[0009] A device that securely and compliantly incorporates corporate carbon credit qualifications into financial statements, including: a blockchain node cluster for decentralized verification and storage of carbon credit data; an edge computing device deployed on the company's local network to perform data preprocessing and encryption; a cloud server that runs an intelligent audit rules engine and a financial statement generation module; and a user terminal that provides a visual interface and multi-role permission management capabilities.
[0010] Compared with the prior art, the present invention has the following beneficial effects: The present invention realizes the real-time collection, verification, review and encryption of carbon credit qualification information, greatly improving data processing efficiency and accuracy.
[0011] The engine of the present invention adopts machine learning and natural language processing technology, which can automatically analyze carbon credit qualification information and identify potential anomalies and violations. The intelligent audit rule engine can monitor and evaluate the authenticity and compliance of carbon credit qualification information in real time, improve audit efficiency, reduce manual intervention, and reduce error rates.
[0012] A data encryption and privacy protection mechanism has been established. This mechanism uses advanced encryption algorithms, such as AES and RSA, to encrypt carbon credit qualification information to ensure the security of data during transmission and storage. At the same time, the system implements strict access control and authority management to ensure that only authorized users can access and operate sensitive data.
[0013] In this invention, an intelligent analysis tool that integrates carbon credit qualifications and financial statements has been developed. The tool can automatically analyze carbon credit qualification data and financial statement data, explore the correlation and value between the two, and provide decision support for enterprises. The intelligent analysis tool can generate multi-dimensional reports and visual charts to help enterprise managers fully understand the impact of carbon credit qualifications on the company's financial status and optimize carbon asset management and financial planning.
[0014] This system utilizes the distributed ledger, decentralized storage and non-tamperability of blockchain to achieve transparent, secure and traceable management of carbon credit qualification information. The system automatically executes the transaction and transfer of carbon credit qualifications through smart contract technology to ensure the legality and effectiveness of transactions. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 This is a system flow chart for incorporating carbon credit qualifications into financial statements in the present invention; Figure 2 This is a flowchart of the blockchain verification system of the present invention; Figure 3 It is a flow chart of the financial statement generation system of the present invention; Figure 4 It is a flow chart of the report generating system of the present invention. DETAILED DESCRIPTION
[0016] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.
[0017] See also Figure 1-Figure 4 The present invention provides a system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements, including: a data acquisition and entry module, which is used to collect corporate carbon emission data, emission reduction project information and carbon asset transaction records, and supports manual entry, file import and API interface; a data verification and audit module, which implements decentralized verification based on blockchain technology and integrates an intelligent audit rule engine to automatically audit data compliance according to preset rules; a data encryption and storage module, which uses a national secret algorithm to encrypt audited data and stores it in a distributed database of the blockchain network; a financial report generation and output module, which integrates encrypted carbon credit qualification information into corporate financial statements, and supports PDF and Excel format output and compliance checks.
[0018] The intelligent audit rule engine allows users to customize audit rules, including data integrity, logical consistency and compliance with international carbon trading standards. The blockchain network automatically executes transaction record verification and update of carbon credit qualifications through smart contracts. The data collection and entry module is integrated with the enterprise ERP and MES systems to capture carbon credit-related data in real time. The system also includes intelligent analysis tools for analyzing the impact of carbon credit qualifications on financial indicators and providing emission reduction strategies and financial statement optimization suggestions. The data encryption and storage module adopts a key management system to dynamically allocate encryption keys and implement a tiered storage strategy. The financial statement generation and output module supports multi-language report templates and is embedded with regional compliance checking functions.
[0019] A method for safely and compliantly incorporating corporate carbon credit qualifications into financial statements includes the following steps: collecting carbon credit qualification data through a multi-source data interface; verifying the authenticity and integrity of the data using a blockchain network; invoking an intelligent audit rule engine to perform automatic compliance audits; encrypting the audited data and storing it in a distributed database; generating financial statements that integrate carbon credit information and synchronizing them to the corporate financial system via an API. The intelligent audit rule engine uses a machine learning model to identify data anomalies and optimizes audit accuracy in small sample scenarios through transfer learning.
[0020] A device that securely and compliantly incorporates corporate carbon credit qualifications into financial statements, including: a blockchain node cluster for decentralized verification and storage of carbon credit data; an edge computing device deployed on the company's local network to perform data preprocessing and encryption; a cloud server that runs an intelligent audit rules engine and a financial statement generation module; and a user terminal that provides a visual interface and multi-role permission management capabilities.
[0021] The technical features of the present invention are as follows: 1. Highly automated carbon credit qualification management: This invention achieves automation of carbon credit qualification management by developing an intelligent carbon credit qualification management system. The system can automatically collect, verify, review, and store carbon credit qualification data, significantly improving data processing efficiency and accuracy. Specific implementation methods include: Automated data collection: The system can automatically collect carbon credit qualification data from data sources such as the company's internal management system and external carbon trading platforms, and automatically identify and extract key information.
[0022] Intelligent data verification: The system uses blockchain technology to conduct decentralized verification of collected data to ensure the authenticity and integrity of the data.
[0023] Real-time audit and verification: The system uses an intelligent audit rule engine to conduct real-time audit and verification of data according to preset audit rules to ensure data compliance.
[0024] Automatic data storage: The system can automatically encrypt the approved data and store it in a distributed database in the blockchain network, realizing decentralized data storage.
[0025] 2. Powerful data encryption and privacy protection mechanism: This invention ensures the security and compliance of carbon credit qualification information by establishing a data encryption and privacy protection mechanism. Specific implementation methods include: Data encryption: Use national secret algorithms to encrypt sensitive data to ensure the security of data during transmission and storage.
[0026] Privacy protection: Implement strict access control and permission management to ensure that only authorized users can access and operate sensitive data.
[0027] Security Audit: Establish a log audit system to record all operational behaviors for easy tracing and auditing afterwards.
[0028] 3. Intelligent audit rules engine: This invention implements real-time review and verification of carbon credit qualification information by designing an intelligent review rule engine. Specific implementation methods include: Audit rule library: The system has a built-in rich audit rule library, covering carbon emission calculation rules, emission reduction project certification rules, transaction record rules, etc.
[0029] Audit result feedback: The audit results are fed back to users in real time, including information such as passed, failed, and intermediate, so that users can adjust data in a timely manner.
[0030] Application of audit results: Audit results are applied to the generation of financial statements to ensure the accuracy and compliance of financial statements.
[0031] 4. Seamless integration with the company's existing financial system: This invention seamlessly integrates with the company's existing financial system to ensure that the value of carbon assets is accurately reflected in financial statements. Specific implementation methods include: Data sharing: The system and the financial system share data through the API interface to ensure real-time updating of carbon asset information in financial statements.
[0032] Report generation: The system automatically integrates carbon credit qualification information into the company's financial statements based on preset report templates and supports output in multiple report formats.
[0033] Report review and release: Generated reports must go through a review process before they can be released to ensure accuracy and compliance.
[0034] Through the above implementation, the present invention can provide enterprises with a safe, efficient and compliant carbon credit qualification management solution, helping enterprises to better manage and report carbon assets, while enhancing the environmental responsibility image and market competitiveness of enterprises.
[0035] The system architecture is designed as follows: The present invention includes the following four main modules: (1) Data collection and entry module: responsible for collecting the original data of corporate carbon credit qualifications, including carbon emission data, emission reduction project information, carbon asset transaction records, etc. This module supports multiple data import methods, such as manual entry, file import, API interface, etc.
[0036] (2) Data Verification and Audit Module: Blockchain technology is used to conduct decentralized verification of collected data to ensure the authenticity and integrity of the data. At the same time, an intelligent audit rule engine is used to automatically audit the data according to preset audit rules.
[0037] (3) Data encryption and storage module: Encrypt the approved data and use the national secret algorithm to ensure the security of the data during transmission and storage. The encrypted data is stored in the distributed database of the blockchain network.
[0038] (4) Financial report generation and output module: Automatically integrates the encrypted carbon credit qualification information into the company's financial statements and supports multiple report output formats, such as PDF, Excel, etc.
[0039] Implementation steps: (1) Data collection: Enterprises collect and enter relevant data on carbon credit qualifications through the data collection and entry module in accordance with the prescribed data format and requirements.
[0040] (2) Data verification: The system sends the collected data to the blockchain network for decentralized verification to ensure that the data has not been tampered with.
[0041] (3) Intelligent Audit: The intelligent audit rule engine automatically audits data based on preset audit rules, such as data integrity, logical consistency, and compliance.
[0042] (4) Data encryption: Encrypt the approved data using the national encryption algorithm to ensure data security.
[0043] (5) Data storage: Encrypted data is stored in a distributed database in the blockchain network, realizing decentralized data storage.
[0044] (6) Financial report generation: The system automatically integrates carbon credit qualification information into the company's financial reports based on the preset report template.
[0045] (7) Report output: Enterprises can generate detailed carbon credit qualification financial reports through the system as needed for internal management or external audit use.
[0046] The system functions are as follows: (1) Data collection and entry module functions: Support for multiple data sources: The system can automatically capture relevant carbon credit data from the company's internal ERP, MES, SCM and other systems, and also supports manual entry and file import.
[0047] Data format standardization: The system has built-in data cleaning and format conversion tools to ensure that all entered data complies with national standards and blockchain verification requirements.
[0048] Real-time data monitoring: The module provides a real-time data monitoring interface to facilitate users to track data collection status and handle exceptions in a timely manner.
[0049] (2) Data verification and review module functions: Blockchain verification: Utilizes the distributed ledger technology of blockchain to conduct decentralized verification of data to ensure that the data has not been tampered with.
[0050] Audit rule configuration: The intelligent audit rule engine allows users to customize audit rules, including data range, logical relationship, threshold setting, etc.
[0051] Audit log records: The system records the operation log of each audit in detail, including audit time, reviewer, audit results, etc., to facilitate auditing and tracing.
[0052] (3) Data encryption and storage module functions: Encryption algorithm selection: The system provides a variety of national encryption algorithms for users to choose from, ensuring that the data encryption strength meets different security requirements.
[0053] Encryption key management: Use a key management system to ensure the secure storage and proper use of encryption keys.
[0054] Data storage strategy: Depending on the importance and access frequency of the data, the system adopts different storage strategies, such as storing hot data in cache and storing cold data on low-cost storage media.
[0055] (4) Financial report generation and output module functions: Report template customization: The system provides report template customization function, and users can customize the report format according to corporate needs and financial standards.
[0056] Automatic report generation: The system automatically extracts carbon credit data on the blockchain and generates financial reports based on preset report templates.
[0057] Report review and release: Generated reports must go through a review process before they can be released to ensure accuracy and compliance.
[0058] The security and stability of the system are guaranteed as follows: (1) Cybersecurity Adopt encryption protocols such as SSL / TLS to ensure the security of data during transmission.
[0059] Set up firewalls and intrusion detection systems to prevent external attacks and unauthorized access.
[0060] (2) Data security: Implement data access permission controls to ensure that only authorized users can access and operate sensitive data.
[0061] Back up data regularly to prevent data loss.
[0062] (3) System stability: Design a high-availability architecture and adopt load balancing and failover technologies to ensure continuous and stable operation of the system.
[0063] Implement system monitoring and early warning mechanisms to promptly detect and handle system anomalies.
[0064] System implementation steps: (1) Demand analysis: Communicate with the company's management and financial department to clarify the specific needs of carbon credit qualification management and the standards for preparing financial statements.
[0065] (2) System design: Based on the results of demand analysis, design the system architecture and functional modules to ensure that the system meets the needs of the enterprise.
[0066] (3) System development: Develop modules such as data collection, verification, auditing, encryption and report generation according to the design documents.
[0067] (4) System testing: Conduct system function testing, performance testing, and security testing to ensure the system is stable and reliable.
[0068] (5) System deployment: Deploy the system to the enterprise server or cloud platform for actual operation.
[0069] (6) User training: Provide system operation training for corporate management and financial departments to ensure that users can use the system proficiently.
[0070] (7) System maintenance: Regularly maintain and upgrade the system to ensure that the system continues to meet the needs of the enterprise.
[0071] Through the above-mentioned specific implementation methods, the present invention can provide enterprises with a safe, efficient and compliant carbon credit qualification management solution, helping enterprises to better manage and report carbon assets, while enhancing the environmental responsibility image and market competitiveness of enterprises.
[0072] Example: 1. Build a corporate carbon credit qualification database to store information related to corporate carbon assets.
[0073] 2. Develop a blockchain network to achieve distributed storage and verification of carbon credit qualification information.
[0074] 3. Design intelligent audit rules to automatically review the carbon credit qualification information submitted by enterprises.
[0075] 4. Ensure the security of data during transmission and storage through encryption technology.
[0076] 5. Automatically generate financial statements and incorporate carbon credit qualification information into the company's financial management system.
[0077] 6. Detailed description of implementation steps: (1) System architecture design: The present invention builds a modular system architecture, including a data acquisition and entry module, a data verification and audit module, a data encryption and storage module, and a financial report generation and output module. These modules interact with each other through an API interface, ensuring efficient system operation and information consistency.
[0078] (2) Data collection and entry module: This module allows companies to collect and enter raw data related to carbon credit qualifications, including carbon emissions data, emission reduction project information, and carbon asset trading records. Data collection supports various methods, such as manual entry, file import, and API access. The entered data must comply with relevant national standards and requirements.
[0079] (3) Data verification and review module: We leverage blockchain technology to conduct decentralized verification of collected data, ensuring its authenticity and integrity. We also employ an intelligent audit rules engine to automatically audit data based on pre-set audit rules. Audit results are provided to users in real time, including pass, fail, and intermediate status information, allowing them to adjust their data in a timely manner.
[0080] (4) Data encryption and storage module: Approved data is encrypted using a national encryption algorithm to ensure data security during transmission and storage. Encrypted data is stored in a distributed database within the blockchain network, achieving decentralized data storage. Different storage strategies are employed, such as online storage, offline storage, and cold storage, depending on data access frequency and importance.
[0081] (5) Financial statement generation and output module: The system automatically integrates encrypted carbon credit qualification information into the company's financial statements based on pre-set report templates. It supports multiple report output formats, including PDF and Excel. Report output functions include report review and publication to ensure report accuracy and compliance.
[0082] (6) System security and stability assurance: Implement network security measures, such as SSL / TLS encryption protocols, firewalls, and intrusion detection systems, to ensure data security during transmission. Data security measures include data access control, data backup, and encryption strategies to ensure secure data storage and transmission. System stability measures include high-availability architecture, load balancing, failover, and automatic recovery to ensure continuous and stable system operation.
[0083] (7) System implementation steps: (1) Demand Analysis: Conduct in-depth communication with the company's management, finance department, information technology department, and other relevant departments to clarify the specific needs of carbon credit qualification management and the standards for compiling financial statements. Collect relevant laws, regulations, standards, and industry best practices to provide reference for system design.
[0084] (2) System Design: Based on the results of the demand analysis, design the system architecture and functional modules to ensure that the system meets the needs of the enterprise. Develop detailed design documents, including system architecture diagrams, functional module diagrams, data flow diagrams, etc.
[0085] (3) System development: Develop modules such as data collection, verification, auditing, encryption, and report generation according to the design documents. Adopt agile development methods and conduct system development and testing in stages.
[0086] (4) System testing: Conduct system function testing, performance testing, and safety testing to ensure system stability and reliability. The test covers all functional modules, including normal operation, abnormal operation, boundary conditions, etc.
[0087] (5) System deployment: Deploy the system to the enterprise server or cloud platform for actual operation. Prepare for the system launch, including data migration and user training.
[0088] (6) User Training: Provide system operation training to the company's management and financial department to ensure that users can use the system proficiently. The training content includes an introduction to system functions, operation procedures, and answers to frequently asked questions.
[0089] (7) System maintenance: Regularly maintain and upgrade the system to ensure that it continues to meet the needs of the enterprise. Maintenance content includes system performance optimization, function expansion, security upgrades, etc.
[0090] Through the above-mentioned specific implementation methods, the present invention can provide enterprises with a safe, efficient and compliant carbon credit qualification management solution, helping enterprises to better manage and report carbon assets, while enhancing the environmental responsibility image and market competitiveness of enterprises.
[0091] The embodiments of the present invention are presented for purposes of illustration and description and are not intended to be exhaustive or to limit the invention to the disclosed forms. Many modifications and variations will be apparent to those skilled in the art. The embodiments are chosen and described in order to better illustrate the principles of the invention and its practical application and to enable those skilled in the art to understand the invention and design various embodiments with various modifications as suited for specific applications.
Claims
1. A system that safely and compliantly incorporates corporate carbon credit qualifications into financial statements, characterized by: include: The data collection and entry module is used to collect carbon emission data, emission reduction project information and carbon asset transaction records of enterprises, and supports manual entry, file import and API interface; The data verification and audit module implements decentralized verification based on blockchain technology and integrates an intelligent audit rule engine to automatically audit data compliance according to preset rules; The data encryption and storage module uses the national secret algorithm to encrypt the approved data and store it in the distributed database of the blockchain network; The financial statement generation and output module integrates encrypted carbon credit qualification information into corporate financial statements, supports PDF and Excel format output and compliance checks.
2. A system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements as claimed in claim 1, characterized in that: The intelligent audit rule engine allows users to customize audit rules, including data integrity, logical consistency and compliance with international carbon trading standards.
3. A system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements as claimed in claim 1, characterized in that: The blockchain network automatically verifies and updates transaction records of carbon credit qualifications through smart contracts.
4. A system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements as claimed in claim 1, characterized in that: The data collection and entry module is integrated with the enterprise ERP and MES systems to capture carbon credit related data in real time.
5. The system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements as claimed in claim 1, characterized in that: The system also includes intelligent analysis tools for analyzing the impact of carbon credit qualifications on financial indicators and providing emission reduction strategies and financial statement optimization suggestions.
6. A system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements as claimed in claim 1, characterized in that: The data encryption and storage module adopts a key management system to dynamically allocate encryption keys and implement a hierarchical storage strategy.
7. The system for safely and compliantly incorporating corporate carbon credit qualifications into financial statements as claimed in claim 1, characterized in that: The financial report generation and output module supports multi-language report templates and embeds regional compliance checking functions.
8. A method for safely and compliantly incorporating corporate carbon credit qualifications into financial statements, characterized by: The following steps are involved: Collect carbon credit qualification data through multi-source data interfaces; Use blockchain networks to verify data authenticity and integrity; Call the intelligent audit rule engine to perform automatic compliance audits; Encrypt the approved data and store it in a distributed database; Generate financial statements that integrate carbon credit information and synchronize them to the corporate financial system via API.
9. A method for safely and compliantly incorporating corporate carbon credit qualifications into financial statements as claimed in claim 8, characterized in that: The intelligent audit rule engine uses a machine learning model to identify data anomalies and optimizes audit accuracy in small sample scenarios through transfer learning.
10. A device for safely and compliantly incorporating corporate carbon credit qualifications into financial statements, characterized by: include: Blockchain node clusters for decentralized verification and storage of carbon credit data; Edge computing devices, deployed on the enterprise's local network, perform data preprocessing and encryption; Cloud servers run the intelligent audit rules engine and financial report generation module; User terminal provides a visual interface and multi-role permission management functions.