Carbon sink quality authentication method and system based on smart contract

Abstract

The invention relates to the technical field of carbon sink quality authentication, in particular to a carbon sink quality authentication method and system based on an intelligent contract, and provides the following scheme for solving the problems of low efficiency and much human intervention in the carbon sink authentication process in the prior art. The system comprises a data preprocessing module, an intelligent contract module, a block chain storage module and an authentication management module. The block chain storage module adopts a fragment chain structure, a main chain stores authentication result metadata, a fragment chain stores original data hash, and the intelligent contract module is internally provided with a plurality of layers of authentication rules and comprises a base layer and a plurality of intelligent contract modules, in the verification layer, the data needs to be signed and confirmed by at least three independent nodes; according to the dynamic layer, when natural disasters occur in an area, the authentication threshold value is automatically lowered to 80%. According to the method, automatic quality evaluation and authentication of the carbon sink data are realized through an intelligent contract technology, and transparency and non-tampering performance of an authentication process are ensured.

Description

Technical Field

[0001] The present invention relates to the field of carbon sink quality certification, and in particular to a carbon sink quality certification method and system based on smart contracts. Background Art

[0002] A carbon sink refers to any process, activity, or mechanism that removes greenhouse gases, aerosols, or greenhouse gas precursors, such as carbon dioxide, from the atmosphere. Carbon sink data is data related to these processes, activities, or mechanisms. Currently, carbon sink quality certification methods primarily rely on manual review and item-by-item verification by third-party organizations, resulting in low efficiency. Furthermore, the current centralized system carries the risk of data tampering. For example, in 2022, human intervention by an international certification agency resulted in the release of 42,000 tons of fraudulent carbon sinks into the market.

[0003] At the same time, because different institutions adopt differentiated certification rules, the failure rate of cross-border carbon sink project certification remains high. Therefore, this solution proposes a carbon sink quality certification method and system based on smart contracts. Summary of the Invention

[0004] The present invention proposes a carbon sink quality certification method and system based on smart contracts, which solves the problems of low efficiency and frequent human intervention in the carbon sink certification process in the existing technology.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A carbon sink quality certification system based on smart contracts, including a data preprocessing module, a smart contract module, a blockchain storage module, and a certification management module;

[0007] The certification method of the carbon sink quality certification system based on smart contracts includes the following steps:

[0008] Step S1: Collect multi-source carbon sink data and generate a standardized data package after preprocessing by a data preprocessing module;

[0009] Step S2: Execute authentication rules through the smart contract module, including carbon sink threshold determination, data source verification, and time series volatility detection;

[0010] Step S3: Write the authentication result and data hash value into the blockchain storage module, and use the PBFT consensus mechanism to ensure that it cannot be tampered with;

[0011] Step S4: Feedback the certification results through the certification management module to support full life cycle data traceability.

[0012] As a further improvement of the above solution, the blockchain storage module adopts a shard chain structure, the main chain stores the authentication result metadata, and the shard chain stores the original data hash.

[0013] As a further improvement of the above solution, the data packet preprocessing in step S1 includes: missing value filling (KNN algorithm), outlier removal (3σ principle) and unit uniform conversion.

[0014] As a further improvement to the above solution, the smart contract module has built-in multi-layer authentication rules, which include:

[0015] Base layer: carbon sink ≥ 90% of the regional baseline value;

[0016] Verification layer: Data must be signed and confirmed by at least three independent nodes;

[0017] Dynamic layer: When a natural disaster occurs in the region, the certification threshold is automatically lowered to 80%.

[0018] As a further improvement to the above solution, the authentication management module includes a visual interface and integrates an LSTM anomaly detection model to predict the carbon sink trend in the next 7 days. When the deviation between the predicted value and the actual value exceeds 15%, the manual review process is initiated. The calculation formula is:

[0019]

[0020] Among them, W xh 、W hh is the weight matrix, h t-1 The hidden state at the previous moment.

[0021] As a further improvement of the above solution, the visualization interface includes a three-dimensional geographic information display unit and an overlay heat map display unit. The overlay heat map display unit divides the area into 1km based on GeoHash. 2 The grid then uses color depth to indicate the authentication pass rate.

[0022] As a further improvement of the above solution, the visualization interface also includes a zero-knowledge proof unit connected to the three-dimensional geographic information display unit and the superimposed heat map display unit.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. Automated quality assessment and certification of carbon sink data is achieved through smart contract technology, ensuring the transparency and immutability of the certification process. At the same time, trusted management of the entire carbon sink quality process is achieved through the collaboration of smart contract automated certification and blockchain evidence storage.

[0025] 2. Smart contracts achieve automated authentication through multiple logical judgments (threshold, number of signatures, volatility), replacing traditional manual review and improving accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a structural block diagram of the present invention. DETAILED DESCRIPTION

[0027] The present invention will be further described below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of no conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments.

[0028] Example 1:

[0029] Please combine Figure 1 , a carbon sink quality certification system based on smart contracts in this embodiment includes a smart contract module, a blockchain storage module and a certification management module;

[0030] The smart contract module has built-in multi-layer authentication rules, including:

[0031] Base layer: carbon sink ≥ 90% of the regional baseline value;

[0032] Verification layer: Data must be signed and confirmed by at least three independent nodes;

[0033] Dynamic layer: When a natural disaster occurs in the region, the authentication threshold is automatically lowered to 80%. When satellite monitoring detects a fire or insect plague, the smart contract automatically calls external oracle data to temporarily lower the authentication threshold.

[0034] The blockchain storage module adopts a shard chain structure. The main chain stores the authentication result metadata, the shard chain stores the original data hash, and the data hash value and authentication result are written to the blockchain. The shard chain structure is used to reduce storage pressure.

[0035] The authentication management module includes a visual interface and integrates an LSTM anomaly detection model. The calculation formula is:

[0036]

[0037] Among them, W xh 、W hh is the weight matrix, h t-1 The model is in a hidden state at the previous moment. The model input is the carbon sink data of the past 30 days, and the output is the predicted value for the next 7 days. When the deviation between the predicted value and the actual value exceeds 15%, the manual review process is initiated to ensure the accuracy of the data.

[0038] The visualization interface includes a three-dimensional geographic information display unit and an overlay heat map display unit. The overlay heat map display unit divides the area into 1km based on GeoHash. 2The grid is then represented by color depth to indicate the authentication pass rate. The visualization interface also includes a zero-knowledge proof unit connected to a three-dimensional geographic information display unit and an overlaid heat map display unit. The data integrity is verified through the zero-knowledge proof unit without exposing the original content.

[0039] Example 2:

[0040] Combine Figure 1 Based on Example 1, this embodiment is further improved in that the carbon sink quality certification method based on the smart contract includes the following steps:

[0041] Step S1: Collect multi-source carbon sink data and generate standardized data packages after preprocessing. Multi-source data includes satellite images (NDVI index), ground sensors (temperature, humidity, CO2 concentration) and manual survey data. Preprocessing ensures that the data format is unified.

[0042] Step S2: Authentication rules are executed through the smart contract module, including carbon sink threshold judgment, data source verification, and time series volatility detection. The smart contract realizes automated authentication through multiple logical judgments (threshold, number of signatures, volatility), replacing traditional manual review.

[0043] Step S3: The authentication result and data hash value are written into the blockchain storage module, and the PBFT consensus mechanism is used to ensure that it cannot be tampered with. The PBFT consensus ensures that at least 2 / 3 of the nodes verify the authenticity of the data, so that the block generation time is ≤ 3 seconds;

[0044] Step S4: Feedback the authentication results through the authentication management module, support data traceability throughout the entire life cycle, provide a timeline backtracking function through a visual interface, and view historical authentication records and data modification logs.

[0045] In this embodiment, multi-source data is standardized by the data and processing module to generate a data packet, which is then passed through the smart contract authentication unit and combined with real-time data and historical baselines for multi-dimensional verification. The blockchain storage module then calculates the hash value, and the authentication result and data hash value are uploaded to the chain through the PBFT consensus. The original data is then stored through the shard chain. At the same time, the smart contract module performs dynamic updates and anomaly detection, monitors data fluctuations through the LSTM model, triggers threshold adjustment or manual review, and finally feeds back the authentication result through the authentication management module, and the visual interface displays the authentication status.

[0046] The above embodiments are only preferred embodiments of the present invention and cannot be used to limit the scope of protection of the present invention. Any non-substantial changes and replacements made by technicians in this field on the basis of the present invention fall within the scope of protection required by the present invention.

Claims

1. A carbon sink quality certification system based on smart contracts, characterized by: Including data preprocessing module, smart contract module, blockchain storage module and authentication management module; The certification method of the carbon sink quality certification system based on smart contracts includes the following steps: Step S1: Collect multi-source carbon sink data and generate a standardized data package after preprocessing by a data preprocessing module; Step S2: Execute authentication rules through the smart contract module, including carbon sink threshold determination, data source verification, and time series volatility detection; Step S3: Write the authentication result and data hash value into the blockchain storage module, and use the PBFT consensus mechanism to ensure that it cannot be tampered with; Step S4: Feedback the certification results through the certification management module to support full life cycle data traceability.

2. A carbon sink quality certification method and system based on smart contracts according to claim 1, characterized in that: The blockchain storage module adopts a shard chain structure, the main chain stores the authentication result metadata, and the shard chain stores the original data hash.

3. A carbon sink quality certification method and system based on smart contracts according to claim 1, characterized in that: The data packet preprocessing in step S1 includes: missing value filling (KNN algorithm), outlier removal (3σ principle) and unit uniform conversion.

4. A carbon sink quality certification method and system based on smart contracts according to claim 1, characterized in that: The smart contract module has built-in multi-layer authentication rules, including: Base layer: carbon sink ≥ 90% of the regional baseline value; Verification layer: Data must be signed and confirmed by at least three independent nodes; Dynamic layer: When a natural disaster occurs in the region, the certification threshold is automatically lowered to 80%.

5. The carbon sink quality certification method and system based on smart contracts according to claim 1 is characterized in that: The certification management module includes a visual interface and integrates an LSTM anomaly detection model to predict the carbon sink trend in the next 7 days. When the deviation between the predicted value and the actual value exceeds 15%, the manual review process is initiated. The calculation formula is: Among them, W xh 、W hh is the weight matrix, h t-1 The hidden state at the previous moment.

6. A carbon sink quality certification method and system based on smart contracts according to claim 5, characterized in that: The visualization interface includes a three-dimensional geographic information display unit and an overlay heat map display unit, and the overlay heat map display unit divides the area into 1km based on GeoHash. 2 The grid then uses color depth to indicate the authentication pass rate.

7. A carbon sink quality certification method and system based on smart contracts according to claim 6, characterized in that: The visualization interface also includes a zero-knowledge proof unit connected to the three-dimensional geographic information display unit and the superimposed heat map display unit.

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