Carbon emission data accounting management system based on block chain technology

Abstract

The invention relates to the technical field of carbon emission data accounting management systems, in particular to a carbon emission data accounting management system based on a block chain technology. According to the technical scheme, the carbon emission data accounting management system based on the block chain technology comprises a carbon emission accounting module; compared with a traditional carbon emission data accounting management system which often depends on manual accounting, not only is large in workload and tedious in process, but also errors are prone to occurring, so that the accuracy and efficiency of data accounting are low, and meanwhile, due to the fact that a traditional system lacks an efficient data tracing and tamper-proof mechanism, the authenticity of carbon emission data is difficult to guarantee, and the data accounting efficiency is low. According to the carbon emission data accounting management system, the authenticity of a data source is ensured by arranging a plurality of groups of intelligent acquisition equipment; the authenticity in the data storage and circulation process is ensured by utilizing the non-tampering property of the block chain; automation of data accounting is realized through the smart contract, human intervention is reduced, and accuracy of data accounting is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission data accounting and management systems, and in particular to a carbon emission data accounting and management system based on blockchain technology. Background Art

[0002] The carbon emission data accounting and management system is a comprehensive tool or platform used to monitor, analyze, calculate and control the carbon emissions of enterprises or organizations.

[0003] Existing carbon emission data accounting and management systems often rely on manual accounting, which not only has a large workload and cumbersome processes, but is also prone to errors, resulting in low accuracy and efficiency of data accounting. At the same time, the traditional system lacks efficient data traceability and anti-tampering mechanisms, making it difficult to ensure the authenticity of carbon emission data.

[0004] The existing carbon emission data accounting and management system relies on manual accounting, which is not only labor-intensive and cumbersome, but also prone to errors, resulting in low accuracy and efficiency of data accounting. This carbon emission data accounting and management system ensures the authenticity of the data source by setting up multiple groups of intelligent collection equipment; utilizes the immutability of blockchain to ensure the authenticity of data storage and circulation; and realizes the automation of data accounting through smart contracts, reduces human intervention, and improves the accuracy of data accounting. Summary of the invention

[0005] In order to overcome the existing carbon emission data accounting management systems, they often rely on manual accounting, which not only has a large workload and cumbersome processes, but is also prone to errors, resulting in low accuracy and efficiency of data accounting. At the same time, the traditional system lacks efficient data traceability and anti-tampering mechanisms, making it difficult to ensure the authenticity of carbon emission data.

[0006] The technical solution of the present invention is: a carbon emission data accounting and management system based on blockchain technology, including:

[0007] Data collection module: used to collect carbon emission related data;

[0008] Data preprocessing module: used to preprocess the carbon emission related data collected by the data acquisition module;

[0009] Carbon emission accounting module: used to calculate the total carbon emissions based on pre-processed data;

[0010] Blockchain storage and verification module: used to store and back up the data calculated by the carbon emission accounting module;

[0011] Data analysis and reporting module: used to conduct in-depth analysis of the data stored and backed up by the blockchain storage and verification module and generate reports;

[0012] Compliance check and audit module: used to conduct compliance checks on carbon emission data according to regulations and policy requirements;

[0013] User interaction and permission management module: used to provide an interactive interface for users.

[0014] Preferably, the data acquisition module includes multiple groups of low-power IoT sensors and high-precision smart meters. The data acquisition module is responsible for collecting carbon emission data from various carbon emission sources, including factories, vehicles and energy facilities. The carbon emission data includes fuel consumption, production process emissions, energy consumption, etc. The carbon emission data can be collected in real time or periodically, which effectively ensures the accuracy and real-time nature of the data, while reducing the overall energy consumption of the system.

[0015] Preferably, the data preprocessing module is used to clean, format and standardize the collected raw data to eliminate erroneous, missing or inconsistent data. Since the raw data may contain a large amount of redundant information and useless data, which will increase the complexity and computational complexity of subsequent processing, the data preprocessing module can remove this redundant information, simplify the data structure and format, thereby reducing the complexity of subsequent processing and improving the processing efficiency and response speed of the system. At the same time, machine learning algorithms are introduced to automatically identify and correct abnormal data, improve data quality, and reduce human intervention.

[0016] Preferably, the carbon emission accounting module is responsible for processing and analyzing the raw carbon emission data obtained from the data acquisition module according to internationally or regionally recognized carbon emission accounting methods and standards, such as the IPCC guidelines, national or regional greenhouse gas emission inventory compilation guidelines, etc., to calculate the specific carbon emissions.

[0017] Preferably, the carbon emission accounting module includes the following steps when operating:

[0018] S11: The carbon emission accounting module first converts the format of the preprocessed data to make it meet the requirements of the accounting method;

[0019] S12: Based on activity level data, such as energy consumption, production, etc., and corresponding emission factors, such as carbon emissions per unit of energy consumption, mathematical models and algorithms are used to calculate the total carbon emissions and classified emissions, such as emissions of greenhouse gases such as carbon dioxide, methane, and nitrous oxide;

[0020] S13: After the calculation is completed, the module will generate a detailed carbon emission accounting report, including total emissions, classified emissions, emission source analysis and other information;

[0021] S14: By following unified accounting methods and standards, the module ensures the comparability and consistency of carbon emission data among different enterprises and regions.

[0022] Preferably, by following internationally or regionally recognized accounting methods and standards, the accuracy and reliability of the data are ensured. Through strict calculation processes and quality control, the possibility of human errors and data inconsistencies is reduced. At the same time, with the help of blockchain technology, every step in the accounting process can be recorded and tracked, and the accounting results are presented in a standardized format, which enhances the traceability of the data and makes carbon emissions data more transparent and easy to understand.

[0023] Preferably, the blockchain storage and verification module is used to store the processed carbon emission data on the blockchain to ensure the immutability and transparency of the data. At the same time, the smart contract function of the blockchain is used to perform data verification and transaction records, and distributed ledger technology is used to ensure the security and traceability of the data. Smart contracts are used to automate data verification and compliance checks.

[0024] Preferably, the data analysis and reporting module is used to conduct in-depth analysis of carbon emission data stored on the blockchain, generate reports such as trend analysis, emission source analysis, and emission reduction effect evaluation, and use big data analysis, machine learning and other technologies to mine valuable information in the data to provide support for decision-making.

[0025] Preferably, the data analysis and reporting module comprises the following steps when operating:

[0026] S21: Obtain the verified and stored carbon emission data from the blockchain storage module;

[0027] S22: Use time series analysis and other methods to conduct trend analysis on carbon emission data to understand the changing trends and patterns of carbon emissions;

[0028] S23: Analyze carbon emissions sources based on data sources and classifications, and identify the main emission sources and emission areas;

[0029] S24: Compare historical data with current data, evaluate the effectiveness of emission reduction measures, and provide a basis for formulating further emission reduction plans;

[0030] S25: Automatically trigger corresponding data analysis tasks or report generation tasks according to preset smart contract conditions;

[0031] S26: Write a detailed report based on the analysis results and visualization content, including the analysis background, purpose, methods, results and conclusions;

[0032] S27: Review the prepared report to ensure the accuracy of the data and the rationality of the analysis, and make modifications and improvements when necessary.

[0033] As a preferred option, the compliance check and audit module is used to conduct compliance checks on carbon emission data according to regulations and policy requirements, ensure that enterprises or individuals comply with relevant emission standards and restrictions, and use the transparency and immutability of blockchain to simplify the audit process and improve audit efficiency and accuracy.

[0034] Preferably, the user interaction and permission management module is used to provide users with an intuitive and easy-to-use operating interface, allowing users to easily input, query and modify carbon emission data. At the same time, it can achieve data isolation and partitioning according to the needs and responsibilities of different users, avoiding cross-contamination and misoperation of data. By setting different user roles and permission levels, the user's access to data and the scope of operation are limited, thereby effectively ensuring the security and integrity of the data.

[0035] Beneficial effects of the present invention:

[0036] 1. Compared with the traditional carbon emission data accounting and management system, which often relies on manual accounting, it is not only labor-intensive and cumbersome, but also prone to errors, resulting in low accuracy and efficiency of data accounting. At the same time, the traditional system lacks efficient data traceability and anti-tampering mechanisms, making it difficult to ensure the authenticity of carbon emission data. This carbon emission data accounting and management system ensures the authenticity of the data source by setting up multiple sets of intelligent collection equipment; uses the immutability of blockchain to ensure the authenticity of data storage and circulation; realizes the automation of data accounting through smart contracts, reduces human intervention, and improves the accuracy of data accounting;

[0037] 2. By following internationally or regionally recognized accounting methods and standards, the accuracy and reliability of the data are ensured. Through strict calculation processes and quality control, the possibility of human errors and data inconsistencies is reduced. At the same time, with the help of blockchain technology, every step in the accounting process can be recorded and tracked, and the accounting results are presented in a standardized format, which enhances the traceability of the data and makes carbon emission data more transparent and easy to understand. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 What is shown is a schematic diagram of the workflow of the carbon emission data accounting and management system based on blockchain technology of the present invention;

[0039] Figure 2 What is shown is a schematic diagram of the carbon emission accounting module workflow of the carbon emission data accounting management system based on blockchain technology of the present invention;

[0040] Figure 3 What is shown is a schematic diagram of the workflow of the data analysis and reporting module of the carbon emission data accounting management system based on blockchain technology of the present invention. DETAILED DESCRIPTION

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] See also Figure 1-3 The present invention provides an embodiment: a carbon emission data accounting and management system based on blockchain technology, comprising:

[0043] Data collection module: used to collect carbon emission related data;

[0044] Data preprocessing module: used to preprocess the carbon emission related data collected by the data acquisition module;

[0045] Carbon emission accounting module: used to calculate the total carbon emissions based on pre-processed data;

[0046] Blockchain storage and verification module: used to store and back up the data calculated by the carbon emission accounting module;

[0047] Data analysis and reporting module: used to conduct in-depth analysis of the data stored and backed up by the blockchain storage and verification module and generate reports;

[0048] Compliance check and audit module: used to conduct compliance checks on carbon emission data according to regulations and policy requirements;

[0049] User interaction and permission management module: used to provide an interactive interface for users.

[0050] Preferably, the data acquisition module includes multiple groups of low-power IoT sensors and high-precision smart meters. The data acquisition module is responsible for collecting carbon emission data from various carbon emission sources, including factories, vehicles and energy facilities. The carbon emission data includes fuel consumption, production process emissions, energy consumption, etc. The carbon emission data can be collected in real time or periodically, which effectively ensures the accuracy and real-time nature of the data, while reducing the overall energy consumption of the system.

[0051] Preferably, the data preprocessing module is used to clean, format and standardize the collected raw data to eliminate erroneous, missing or inconsistent data. Since the raw data may contain a large amount of redundant information and useless data, which will increase the complexity and computational complexity of subsequent processing, the data preprocessing module can remove this redundant information, simplify the data structure and format, thereby reducing the complexity of subsequent processing and improving the processing efficiency and response speed of the system. At the same time, machine learning algorithms are introduced to automatically identify and correct abnormal data, improve data quality, and reduce human intervention.

[0052] Preferably, the carbon emission accounting module is responsible for processing and analyzing the raw carbon emission data obtained from the data acquisition module according to internationally or regionally recognized carbon emission accounting methods and standards, such as the IPCC guidelines, national or regional greenhouse gas emission inventory compilation guidelines, etc., to calculate the specific carbon emissions.

[0053] Preferably, the carbon emission accounting module includes the following steps when operating:

[0054] S11: The carbon emission accounting module first converts the format of the preprocessed data to make it meet the requirements of the accounting method;

[0055] S12: Based on activity level data, such as energy consumption, production, etc., and corresponding emission factors, such as carbon emissions per unit of energy consumption, mathematical models and algorithms are used to calculate the total carbon emissions and classified emissions, such as emissions of greenhouse gases such as carbon dioxide, methane, and nitrous oxide;

[0056] S13: After the calculation is completed, the module will generate a detailed carbon emission accounting report, including total emissions, classified emissions, emission source analysis and other information;

[0057] S14: By following unified accounting methods and standards, the module ensures the comparability and consistency of carbon emission data among different enterprises and regions.

[0058] Preferably, by following internationally or regionally recognized accounting methods and standards, the accuracy and reliability of the data are ensured. Through strict calculation processes and quality control, the possibility of human errors and data inconsistencies is reduced. At the same time, with the help of blockchain technology, every step in the accounting process can be recorded and tracked, and the accounting results are presented in a standardized format, which enhances the traceability of the data and makes carbon emissions data more transparent and easy to understand.

[0059] Preferably, the blockchain storage and verification module is used to store the processed carbon emission data on the blockchain to ensure the immutability and transparency of the data. At the same time, the smart contract function of the blockchain is used to perform data verification and transaction records, and distributed ledger technology is used to ensure the security and traceability of the data. Smart contracts are used to automate data verification and compliance checks.

[0060] Preferably, the data analysis and reporting module is used to conduct in-depth analysis of carbon emission data stored on the blockchain, generate reports such as trend analysis, emission source analysis, and emission reduction effect evaluation, and use big data analysis, machine learning and other technologies to mine valuable information in the data to provide support for decision-making.

[0061] Preferably, the data analysis and reporting module comprises the following steps when operating:

[0062] S21: Obtain the verified and stored carbon emission data from the blockchain storage module;

[0063] S22: Use time series analysis and other methods to conduct trend analysis on carbon emission data to understand the changing trends and patterns of carbon emissions;

[0064] S23: Analyze carbon emissions sources based on data sources and classifications, and identify the main emission sources and emission areas;

[0065] S24: Compare historical data with current data, evaluate the effectiveness of emission reduction measures, and provide a basis for formulating further emission reduction plans;

[0066] S25: Automatically trigger corresponding data analysis tasks or report generation tasks according to preset smart contract conditions;

[0067] S26: Write a detailed report based on the analysis results and visualization content, including the analysis background, purpose, methods, results and conclusions;

[0068] S27: Review the prepared report to ensure the accuracy of the data and the rationality of the analysis, and make modifications and improvements when necessary.

[0069] As a preferred option, the compliance check and audit module is used to conduct compliance checks on carbon emission data according to regulations and policy requirements, ensure that enterprises or individuals comply with relevant emission standards and restrictions, and use the transparency and immutability of blockchain to simplify the audit process and improve audit efficiency and accuracy.

[0070] Preferably, the user interaction and permission management module is used to provide users with an intuitive and easy-to-use operating interface, allowing users to easily input, query and modify carbon emission data. At the same time, it can achieve data isolation and partitioning according to the needs and responsibilities of different users, avoiding cross-contamination and misoperation of data. By setting different user roles and permission levels, the user's access to data and the scope of operation are limited, thereby effectively ensuring the security and integrity of the data.

[0071] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. Carbon emission data accounting and management system based on blockchain technology, including: Data collection module: used to collect carbon emission related data; Data preprocessing module: used to preprocess the carbon emission related data collected by the data acquisition module; Carbon emission accounting module: used to calculate the total carbon emissions based on pre-processed data; Blockchain storage and verification module: used to store and back up the data calculated by the carbon emission accounting module; Data analysis and reporting module: used to conduct in-depth analysis of the data stored and backed up by the blockchain storage and verification module and generate reports; Compliance check and audit module: used to conduct compliance checks on carbon emission data according to regulations and policy requirements; User interaction and permission management module: used to provide an interactive interface for users.

2. The carbon emission data accounting and management system based on blockchain technology according to claim 1 is characterized by: The data acquisition module includes multiple groups of low-power IoT sensors and high-precision smart meters. The data acquisition module is responsible for collecting carbon emission data from various carbon emission sources, including factories, vehicles and energy facilities. Carbon emission data includes fuel consumption, production process emissions, energy consumption, etc. Carbon emission data can be collected in real time or periodically, effectively ensuring the accuracy and real-time nature of the data, while reducing the overall energy consumption of the system.

3. The carbon emission data accounting and management system based on blockchain technology according to claim 2 is characterized by: The data preprocessing module is used to clean, format and standardize the collected raw data to eliminate erroneous, missing or inconsistent data. Since the raw data may contain a large amount of redundant information and useless data, these data will increase the complexity and computational complexity of subsequent processing. Through the processing of the data preprocessing module, these redundant information can be removed, the data structure and format can be simplified, thereby reducing the complexity of subsequent processing and improving the processing efficiency and response speed of the system. At the same time, machine learning algorithms are introduced to automatically identify and correct abnormal data, improve data quality, and reduce human intervention.

4. The carbon emission data accounting and management system based on blockchain technology according to claim 3 is characterized by: The carbon emission accounting module is responsible for processing and analyzing the raw carbon emission data obtained from the data acquisition module according to internationally or regionally recognized carbon emission accounting methods and standards, such as the IPCC guidelines, national or regional greenhouse gas emission inventory compilation guidelines, etc., to calculate the specific carbon emissions.

5. The carbon emission data accounting and management system based on blockchain technology according to claim 4 is characterized by: The carbon emission accounting module includes the following steps when working: S11: The carbon emission accounting module first converts the format of the preprocessed data to make it meet the requirements of the accounting method; S12: Based on activity level data, such as energy consumption, production, etc., and corresponding emission factors, such as carbon emissions per unit of energy consumption, mathematical models and algorithms are used to calculate the total carbon emissions and classified emissions, such as emissions of greenhouse gases such as carbon dioxide, methane, and nitrous oxide; S13: After the calculation is completed, the module will generate a detailed carbon emission accounting report, including total emissions, classified emissions, emission source analysis and other information; S14: By following unified accounting methods and standards, the module ensures the comparability and consistency of carbon emission data among different enterprises and regions.

6. The carbon emission data accounting and management system based on blockchain technology according to claim 5 is characterized by: The blockchain storage and verification module is used to store processed carbon emission data on the blockchain to ensure the data is tamper-proof and transparent. It also uses the blockchain's smart contract function to verify data and record transactions, and uses distributed ledger technology to ensure data security and traceability. Smart contracts are used to automate data verification and compliance checks.

7. The carbon emission data accounting and management system based on blockchain technology according to claim 6 is characterized by: The data analysis and reporting module is used to conduct in-depth analysis of carbon emission data stored on the blockchain, generate trend analysis, emission source analysis, emission reduction effect evaluation and other reports, and use big data analysis, machine learning and other technologies to mine valuable information in the data to provide support for decision-making.

8. The carbon emission data accounting and management system based on blockchain technology according to claim 6 is characterized by: The data analysis and reporting module works by: S21: Obtain the verified and stored carbon emission data from the blockchain storage module; S22: Use time series analysis and other methods to conduct trend analysis on carbon emission data to understand the changing trends and patterns of carbon emissions; S23: Analyze carbon emissions sources based on data sources and classifications, and identify the main emission sources and emission areas; S24: Compare historical data with current data, evaluate the effectiveness of emission reduction measures, and provide a basis for formulating further emission reduction plans; S25: Automatically trigger corresponding data analysis tasks or report generation tasks according to preset smart contract conditions; S26: Write a detailed report based on the analysis results and visualization content, including the analysis background, purpose, methods, results and conclusions; S27: Review the prepared report to ensure the accuracy of the data and the rationality of the analysis, and make modifications and improvements when necessary.

9. The carbon emission data accounting and management system based on blockchain technology according to claim 6 is characterized by: The compliance check and audit module is used to conduct compliance checks on carbon emission data according to regulations and policy requirements, ensure that enterprises or individuals comply with relevant emission standards and restrictions, and use the transparency and immutability of blockchain to simplify the audit process and improve audit efficiency and accuracy.

10. The carbon emission data accounting and management system based on blockchain technology according to claim 6 is characterized by: The user interaction and authority management module is used to provide users with an intuitive and easy-to-use operation interface, allowing users to easily input, query and modify carbon emission data, and can The needs and responsibilities of users are realized to isolate and partition data, thus avoiding cross contamination and misoperation of data. By setting different user roles and permission levels, the user's access to data and the scope of operations are limited. This effectively ensures the security and integrity of the data.

Images