Carbon emission monitoring device based on block chain technology

Abstract

The invention relates to the technical field of carbon emission monitoring equipment, in particular to a carbon emission monitoring device based on a block chain technology. According to the technical scheme, the carbon emission monitoring device based on the block chain technology comprises a data acquisition module, a data preprocessing module and a data analysis module; compared with a traditional carbon emission monitoring device based on a block chain technology, the carbon emission monitoring device based on the block chain technology is relatively weak in data processing capability, mainly depends on manual processing or simple data processing software, lacks intelligent processing and analysis capability, is likely to be limited by human factors to make and optimize a carbon emission management strategy, is difficult to achieve an optimal effect, and is low in cost. According to the carbon emission monitoring device based on the block chain technology, a special data analysis module is arranged, a large amount of carbon emission data can be efficiently processed, transactions are automatically executed or management measures are taken according to preset rules and algorithms, a system can automatically identify and optimize a carbon emission management strategy through data analysis, and the carbon emission monitoring efficiency is improved. And the efficiency and the accuracy of carbon emission management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission monitoring equipment, and in particular to a carbon emission monitoring device based on blockchain technology. Background Art

[0002] The carbon emission monitoring device is a device that monitors and evaluates carbon emissions in human activities and natural systems in real time through comprehensive observation, combined with numerical simulation, statistical analysis and other means. It can obtain information on carbon source and sink conditions and their changing trends, such as greenhouse gas emission intensity, concentration in the environment, and ecosystem carbon sinks, to provide service support for climate change research and management.

[0003] The data processing capabilities of existing carbon emission monitoring devices are relatively weak, mainly relying on manual processing or simple data processing software, lacking intelligent processing and analysis capabilities, and relying on manual operations and decision-making. The formulation and optimization of carbon emission management strategies may be limited by human factors, making it difficult to achieve optimal results.

[0004] In view of the relatively weak data processing capabilities of existing carbon emission monitoring devices, the formulation and optimization of carbon emission management strategies may be limited by human factors and it is difficult to achieve the best results. The carbon emission monitoring device based on blockchain technology is equipped with a special data analysis module. It can efficiently process large amounts of carbon emission data, support smart contracts and automated decision-making, and automatically execute transactions or take management measures according to preset rules and algorithms. Through data analysis, the system can automatically identify and optimize carbon emission management strategies and improve the efficiency and accuracy of carbon emission management. Summary of the invention

[0005] In order to overcome the relatively weak data processing capabilities of existing carbon emission monitoring devices, which mainly rely on manual processing or simple data processing software, lack intelligent processing and analysis capabilities, and rely on manual operations and decision-making, the formulation and optimization of carbon emission management strategies may be limited by human factors and it is difficult to achieve the best results.

[0006] The technical solution of the present invention is: a carbon emission monitoring device based on blockchain technology, comprising:

[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] Data analysis module: used to analyze and calculate the data preprocessed by the data preprocessing module;

[0010] Blockchain recording module: used to record the results of the data analysis module;

[0011] Identity authentication and authority management module: used to verify the identity and authority of access users;

[0012] Report generation module: used to generate carbon emission reports according to user needs;

[0013] Compliance check and early warning module: used to check whether carbon emission data is compliant;

[0014] Notification module: used to provide users with a data display platform.

[0015] 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.

[0016] 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.

[0017] Preferably, the data analysis module is used to integrate data from different emission sources to form a unified data set, standardize the data to ensure the comparability of data from different sources, calculate carbon emissions based on the collected data using appropriate algorithms and models, analyze changing trends in carbon emission data, identify potential emission hotspots and anomalies, and use predictive models to predict future carbon emissions, providing a basis for the formulation of emission reduction strategies.

[0018] Preferably, the data analysis module includes the following steps when operating:

[0019] S11: receiving the data after preliminary processing from the data preprocessing module;

[0020] S12: Integrate data from different emission sources to form a unified data set and standardize the data, such as unit conversion and data format unification;

[0021] S13: Calculate carbon emissions using the integrated data based on the carbon emission calculation model, taking into account factors such as the type of emission source, activity level, and emission factor to ensure the accuracy of the calculation results;

[0022] S14: Use data analysis tools to analyze the trend of carbon emission data, establish a prediction model, and predict future carbon emissions;

[0023] S15: Evaluate the compliance of carbon emission data according to preset emission standards or policy requirements and generate a carbon emission report, including total emissions, trend analysis, compliance assessment and other information.

[0024] Preferably, the collected carbon emission data can be efficiently processed through the data analysis module, including data cleaning, format conversion, outlier detection, etc., so as to ensure the accuracy and consistency of the data, so that the system can provide accurate estimates of carbon emissions in real time or near real time, and provide strong support for subsequent carbon emission management and emission reduction measures. At the same time, it can conduct in-depth analysis of historical carbon emission data, explore the patterns and trends in the data, and provide strong support for the formulation and optimization of carbon emission management strategies.

[0025] Preferably, the blockchain recording module is used to record the processed carbon emission data on the blockchain in an unalterable manner. Each data entry contains a timestamp, source identification and encrypted hash to ensure the integrity and transparency of the data. The distributed ledger technology of the blockchain is used to ensure that once the data is recorded, it cannot be deleted or modified, while protecting data privacy.

[0026] Preferably, the identity authentication and permission management module is used to manage the identity authentication and access rights of all users in the system, including data providers, regulators, the public, etc., to ensure that only authorized users can access or modify specific data. At the same time, public key infrastructure, smart contracts and other technologies are adopted to achieve secure identity authentication and fine-grained permission control.

[0027] Preferably, the report generation module is used to automatically generate carbon emissions reports according to user needs, including total emissions, trend analysis, compliance assessment and other information. The report will be released to relevant stakeholders on demand, and data visualization tools and automated report generation software will be used to provide an intuitive and easy-to-understand report format.

[0028] Preferably, the compliance check and early warning module is used to automatically check whether the emission data is compliant according to preset emission standards or policy requirements, and issue an early warning when an excess or potential violation is found. At the same time, it combines the rule engine and smart contracts to achieve real-time compliance monitoring and early warning notifications.

[0029] Preferably, the notification module is used to provide a platform for the public to understand carbon emissions, participate in environmental protection activities, receive educational information, and promote the improvement of environmental awareness. At the same time, through mobile applications, web interfaces, etc., carbon emission data, environmental protection knowledge, emission reduction challenges and other activities are displayed to enhance public interactivity and participation.

[0030] Beneficial effects of the present invention:

[0031] 1. Compared with the traditional carbon emission monitoring device based on blockchain technology, the data processing capability is relatively weak, mainly relying on manual processing or simple data processing software, lacking intelligent processing and analysis capabilities, and relying on manual operation and decision-making. The formulation and optimization of carbon emission management strategies may be limited by human factors and it is difficult to achieve the best results. The carbon emission monitoring device based on blockchain technology is equipped with a special data analysis module, which can efficiently process a large amount of carbon emission data, support smart contracts and automated decision-making, and automatically execute transactions or take management measures according to preset rules and algorithms. Through data analysis, the system can automatically identify and optimize carbon emission management strategies and improve the efficiency and accuracy of carbon emission management;

[0032] 2. The data analysis module can be used to efficiently process the collected carbon emission data, including data cleaning, format conversion, outlier detection, etc., to ensure the accuracy and consistency of the data. It can enable the system to provide accurate estimates of carbon emissions in real time or near real time, providing strong support for subsequent carbon emission management and emission reduction measures. At the same time, it can conduct in-depth analysis of historical carbon emission data, explore the patterns and trends in the data, and provide strong support for the formulation and optimization of carbon emission management strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 What is shown is a first three-dimensional structural schematic diagram of a carbon emission monitoring device based on blockchain technology of the present invention;

[0034] Figure 2 What is shown is a second three-dimensional structural schematic diagram of a carbon emission monitoring device based on blockchain technology of the present invention;

[0035] Figure 3 What is shown is a schematic diagram of the workflow of a data analysis module of a carbon emission monitoring device based on blockchain technology of the present invention. DETAILED DESCRIPTION

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] See also Figure 1-3 The present invention provides an embodiment: a carbon emission monitoring device based on blockchain technology, comprising:

[0038] Data collection module: used to collect carbon emission related data;

[0039] Data preprocessing module: used to preprocess the carbon emission related data collected by the data acquisition module;

[0040] Data analysis module: used to analyze and calculate the data preprocessed by the data preprocessing module;

[0041] Blockchain recording module: used to record the results of the data analysis module;

[0042] Identity authentication and authority management module: used to verify the identity and authority of access users;

[0043] Report generation module: used to generate carbon emission reports according to user needs;

[0044] Compliance check and early warning module: used to check whether carbon emission data is compliant;

[0045] Notification module: used to provide users with a data display platform.

[0046] 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.

[0047] 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.

[0048] Preferably, the data analysis module is used to integrate data from different emission sources to form a unified data set, standardize the data to ensure the comparability of data from different sources, calculate carbon emissions based on the collected data using appropriate algorithms and models, analyze changing trends in carbon emission data, identify potential emission hotspots and anomalies, and use predictive models to predict future carbon emissions, providing a basis for the formulation of emission reduction strategies.

[0049] Preferably, the data analysis module includes the following steps when operating:

[0050] S11: receiving the data after preliminary processing from the data preprocessing module;

[0051] S12: Integrate data from different emission sources to form a unified data set and standardize the data, such as unit conversion and data format unification;

[0052] S13: Calculate carbon emissions using the integrated data based on the carbon emission calculation model, taking into account factors such as the type of emission source, activity level, and emission factor to ensure the accuracy of the calculation results;

[0053] S14: Use data analysis tools to analyze the trend of carbon emission data, establish a prediction model, and predict future carbon emissions;

[0054] S15: Evaluate the compliance of carbon emission data according to preset emission standards or policy requirements and generate a carbon emission report, including total emissions, trend analysis, compliance assessment and other information.

[0055] Preferably, the collected carbon emission data can be efficiently processed through the data analysis module, including data cleaning, format conversion, outlier detection, etc., so as to ensure the accuracy and consistency of the data, so that the system can provide accurate estimates of carbon emissions in real time or near real time, and provide strong support for subsequent carbon emission management and emission reduction measures. At the same time, it can conduct in-depth analysis of historical carbon emission data, explore the patterns and trends in the data, and provide strong support for the formulation and optimization of carbon emission management strategies.

[0056] Preferably, the blockchain recording module is used to record the processed carbon emission data on the blockchain in an unalterable manner. Each data entry contains a timestamp, source identification and encrypted hash to ensure the integrity and transparency of the data. The distributed ledger technology of the blockchain is used to ensure that once the data is recorded, it cannot be deleted or modified, while protecting data privacy.

[0057] Preferably, the identity authentication and permission management module is used to manage the identity authentication and access rights of all users in the system, including data providers, regulators, the public, etc., to ensure that only authorized users can access or modify specific data. At the same time, public key infrastructure, smart contracts and other technologies are adopted to achieve secure identity authentication and fine-grained permission control.

[0058] Preferably, the report generation module is used to automatically generate carbon emissions reports according to user needs, including total emissions, trend analysis, compliance assessment and other information. The report will be released to relevant stakeholders on demand, and data visualization tools and automated report generation software will be used to provide an intuitive and easy-to-understand report format.

[0059] Preferably, the compliance check and early warning module is used to automatically check whether the emission data is compliant according to preset emission standards or policy requirements, and issue an early warning when an excess or potential violation is found. At the same time, it combines the rule engine and smart contracts to achieve real-time compliance monitoring and early warning notifications.

[0060] Preferably, the notification module is used to provide a platform for the public to understand carbon emissions, participate in environmental protection activities, receive educational information, and promote the improvement of environmental awareness. At the same time, through mobile applications, web interfaces, etc., carbon emission data, environmental protection knowledge, emission reduction challenges and other activities are displayed to enhance public interactivity and participation.

[0061] 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. A carbon emission monitoring device based on blockchain technology; characterized in that: Included are: 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; Data analysis module: used to analyze and calculate the data preprocessed by the data preprocessing module; Blockchain recording module: used to record the results of the data analysis module; Identity authentication and authority management module: used to verify the identity authority of access users; Report generation module: used to generate carbon emission reports according to user needs; Compliance check and early warning module: used to check whether carbon emission data is compliant; Notification module: used to provide users with a data display platform.

2. According to claim 1, a carbon emission monitoring device based on blockchain technology is characterized in that: 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. According to claim 2, a carbon emission monitoring device based on blockchain technology is characterized in that: 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. According to claim 3, a carbon emission monitoring device based on blockchain technology is characterized in that: The data analysis module is used to integrate data from different emission sources to form a unified data set, standardize the data to ensure the comparability of data from different sources, calculate carbon emissions based on the collected data using appropriate algorithms and models, and analyze the changing trends of carbon emission data, identify potential emission hotspots and anomalies, and use predictive models to predict future carbon emissions, providing a basis for the formulation of emission reduction strategies.

5. According to claim 4, a carbon emission monitoring device based on blockchain technology is characterized in that: The data analysis module includes the following steps when working: S11: receiving the data after preliminary processing from the data preprocessing module; S12: Integrate data from different emission sources to form a unified data set and standardize the data, such as unit conversion and data format unification; S13: Calculate carbon emissions using the integrated data based on the carbon emission calculation model, taking into account factors such as the type of emission source, activity level, and emission factor to ensure the accuracy of the calculation results; S14: Use data analysis tools to analyze the trend of carbon emission data, establish a prediction model, and predict future carbon emissions; S15: Evaluate the compliance of carbon emission data according to preset emission standards or policy requirements and generate a carbon emission report, including total emissions, trend analysis, compliance assessment and other information.

6. A carbon emission monitoring device based on blockchain technology according to claim 5, characterized in that: The blockchain recording module is used to record the processed carbon emission data on the blockchain in an unalterable manner. Each data entry contains a timestamp, source identification and encrypted hash to ensure the integrity and transparency of the data. The distributed ledger technology of the blockchain is used to ensure that once the data is recorded, it cannot be deleted or modified, while protecting data privacy.

7. A carbon emission monitoring device based on blockchain technology according to claim 6, characterized in that: The identity authentication and permission management module is used to manage the identity authentication and access rights of all users in the system, including data providers, regulators, the public, etc., to ensure that only authorized users can access or modify specific data. At the same time, it adopts technologies such as public key infrastructure and smart contracts to achieve secure identity authentication and fine-grained permission control.

8. The carbon emission monitoring device based on blockchain technology according to claim 7 is characterized in that: The report generation module is used to automatically generate carbon emissions reports according to user needs, including total emissions, trend analysis, compliance assessment and other information. The report will be released to relevant stakeholders on demand, and at the same time, it uses data visualization tools and automated report generation software to provide an intuitive and easy-to-understand report format.

9. The carbon emission monitoring device based on blockchain technology according to claim 8 is characterized in that: The compliance check and early warning module is used to automatically check whether the emission data is compliant according to the preset emission standards or policy requirements, and issue an early warning when an excess or potential violation is found. At the same time, it combines the rule engine and smart contracts to achieve real-time compliance monitoring and early warning notifications.

10. A carbon emission monitoring device based on blockchain technology according to claim 9, characterized in that: The notification module is used to provide a platform for the public to understand carbon emissions, participate in environmental protection activities, receive educational information, and promote the improvement of environmental awareness. At the same time, it displays carbon emission data, environmental protection knowledge, emission reduction challenges and other activities through mobile applications, web interfaces, etc., to enhance public interactivity and participation.

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