CN116485547B - Block chain-based carbon asset transaction method - Google Patents
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Abstract
The invention relates to the technical field of blockchains, in particular to a blockchain-based carbon asset transaction method. The method comprises the following steps: acquiring carbon asset account request data, and performing carbon asset account verification according to the carbon asset account request data to generate carbon asset digital identification data; acquiring carbon asset detailed data according to the carbon asset digital identification data, acquiring carbon asset transaction request data, recommending carbon asset transaction data according to the carbon asset detailed data and the carbon asset transaction request data, and generating carbon asset transaction recommendation data; performing first carbon asset transaction security qualification audit on the carbon asset detail data and the carbon asset transaction request data, thereby obtaining first carbon asset transaction qualification audit data; according to the invention, all the carbon asset transaction records are recorded on the non-tamperable blockchain through the blockchain technology, so that the transparency and traceability of the transaction are ensured.
Description
Technical Field
The invention relates to the technical field of blockchains, in particular to a blockchain-based carbon asset transaction method.
Background
Blockchains are a decentralized distributed ledger technique that achieves transparency, security, and reliability of data by sharing and recording a complete history of transaction data among multiple parties. It consists of a series of blocks linked in sequence, each block containing a batch of transaction records and the hash value of the preceding block. The characteristics of blockchains include non-tamper-ability, decentralization, transparency, and high security. The existing carbon asset transaction method usually only adopts the internet technology, and in the use process, the problems of data loss, difficult tracing and low transparency exist.
Disclosure of Invention
The application provides a carbon asset transaction method based on a blockchain to solve at least one technical problem.
The application provides a carbon asset transaction method based on a blockchain, which comprises the following steps of:
step S1: acquiring carbon asset account request data, and performing carbon asset account verification according to the carbon asset account request data to generate carbon asset digital identification data;
step S2: acquiring carbon asset detailed data according to the carbon asset digital identification data, acquiring carbon asset transaction request data, recommending carbon asset transaction data according to the carbon asset detailed data and the carbon asset transaction request data, and generating carbon asset transaction recommendation data;
Step S3: performing first carbon asset transaction security qualification audit on the carbon asset detail data and the carbon asset transaction request data, thereby obtaining first carbon asset transaction qualification audit data;
step S4: when the first carbon asset transaction qualification audit data is determined to be dangerous carbon asset transaction qualification audit data, returning to the step S3; when the first carbon asset transaction qualification audit data is determined to be the suspicious carbon asset transaction qualification audit data, performing second carbon asset transaction safety qualification audit according to the carbon asset detail data and the carbon asset transaction request data, thereby obtaining second carbon asset transaction qualification audit data for secondary safety confirmation operation of the carbon asset transaction; when the first carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data, wherein the first carbon asset transaction safety qualification audit and the second carbon asset transaction safety qualification audit are different safety qualification audit modes;
step S5: and generating a carbon asset transaction block according to the carbon asset transaction record data to join a carbon asset transaction blockchain for traceability inquiry.
By adopting the blockchain technology, all the carbon asset transaction records are publicly recorded on the blockchain, so that the transparency and traceability of the transaction are ensured. The participant can check and verify the transaction history of the carbon asset at any time, thereby improving the credibility and fairness of the transaction. By utilizing a distributed verification mechanism of a blockchain, the carbon asset account request data and the carbon asset transaction request data can be automatically verified and confirmed in a smart contract mode and the like, so that an artificial intermediation link and transaction cost are reduced. This may improve the efficiency and convenience of the transaction. And adopting two different carbon asset transaction safety qualification auditing steps, namely, a first carbon asset transaction safety qualification audit and a second carbon asset transaction safety qualification audit. The multi-level auditing mechanism can more fully evaluate the compliance and risk of carbon asset transactions and provide a safer transaction environment, reducing the risk of fraud and improper behavior. Promote the development of the carbon market and promote the realization of the carbon emission reduction target. By providing a trusted carbon asset trading mechanism, businesses and individuals can be motivated to participate in carbon abatement activities, driving the development of low carbon economies. By generating a carbon asset transaction blockchain, the method provides a traceable query function, and anyone can trace the transaction history and related information of a specific carbon asset. This helps to build a more reliable carbon asset traceability system that supports efficient supervision and assessment by environmental protection authorities, regulatory authorities and stakeholders.
Preferably, step S1 is specifically:
step S11: acquiring carbon asset account request data;
step S12: carrying out identity verification on account identity data in the carbon asset account request data so as to obtain carbon asset account identity verification data;
step S13: returning to the step S11 when the carbon asset account identity verification data is determined to be false carbon asset account identity verification data;
step S14: when the carbon asset account identity verification data is determined to be the real carbon asset account identity verification data, carbon asset compliance verification is performed according to the carbon asset account request data, so that carbon asset compliance verification data is obtained;
step S15: when the carbon asset compliance verification data is determined to be the suspicious carbon asset compliance verification data, returning to the step S11;
step S16: when the carbon asset compliance verification data is legal carbon asset compliance verification data, digital identification generation is carried out according to the carbon asset account request data, and carbon asset digital identification data is generated.
The invention improves the compliance and safety of carbon asset transaction: by carrying out identity verification and compliance verification on the carbon asset account request data, the method can effectively screen out real and legal carbon asset accounts and reduce the risk of false accounts or illegal transactions. This helps to build a compliant, safe carbon asset transaction environment. By generating digital identification data for the carbon asset, each carbon asset transaction can be traced and verified. This enhances transparency and credibility of the transaction, helps prevent potential fraud, and promotes the development of the carbon asset market. Based on the carbon asset detail data and the transaction request data, the method can generate carbon asset transaction recommendation data and provide personalized transaction suggestions for users. This helps to improve transaction efficiency and user satisfaction. By storing transaction records in the form of blockchains, the present method provides traceability of carbon asset transactions. Anyone can query and track transaction history and related information for a particular carbon asset, thereby enhancing the reliability and auditability of the transaction. The development of the carbon market is promoted, and the realization of the carbon emission reduction target is promoted. By providing an efficient, safe, trusted carbon asset trading mechanism, more participants can be motivated to join the carbon market, promoting the implementation of carbon emission abatement actions, and promoting sustainable development.
Preferably, the carbon asset compliance verification data includes carbon asset source verification data, carbon asset issuing validity verification data, carbon emission reduction standard compliance verification data, and carbon asset quota and limit verification data, and the step of carbon asset compliance verification in step S14 specifically includes:
step S141: performing carbon asset source verification according to the carbon asset account request data, thereby obtaining carbon asset source verification data;
step S142: performing carbon asset issuing validity verification according to the carbon asset account request data, thereby obtaining carbon asset issuing validity verification data;
step S143: performing carbon emission reduction standard compliance verification according to the carbon asset account request data, thereby obtaining carbon emission reduction standard compliance verification data;
step S144: and carrying out carbon asset quota and limitation verification according to the carbon asset account request data, thereby obtaining carbon asset quota and limitation verification data.
The method ensures the compliance and the credibility of the carbon asset through the verification of the source, the issuing legitimacy and the compliance with the carbon emission reduction standard and the quota and the limit of the carbon asset. This helps to prevent illegal or fraudulent carbon asset transactions and improves the integrity and stability of the market. Through verifying the carbon emission reduction standard compliance, the method ensures that the carbon asset meets the emission reduction requirement and promotes the realization of an emission reduction target. This helps to promote sustainable development and environmental protection, contributing to the proliferation of the carbon market. By verifying the origin and issuance legitimacy of the carbon asset, the method increases the transparency of the transaction party's information. This helps investors and trading participants to understand the context and trust of carbon assets, reduces the problem of information asymmetry, and promotes fairness and efficiency of the trade. By verifying quota and restrictions on carbon assets, the method helps to strengthen the regulation of the carbon market. This can prevent transactions that exceed quota or violate limits from occurring, maintain smooth running of the market, and protect investors' equity. By providing carbon asset compliance verification data, the method provides a reference basis for investors and trading participants. This helps them make intelligent investment decisions to select carbon asset transactions that meet regulatory and standard requirements.
Preferably, the digital identifier generation is calculated and generated through a carbon asset digital identifier calculation formula, wherein the carbon asset digital identifier calculation formula specifically comprises:
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digital identification data for carbon asset, < >>As a limit variable +.>Is a constant term->For carbon asset quantity data, +.>Specific market data for carbon asset, +.>For carbon asset emission reduction capability data, +.>For differential compliance, ++>Is a time variable +.>Is carbon asset policy data->Transaction data for carbon asset->Is a coefficient variable.
The invention constructs a calculation formula of the carbon asset digital identification, which fully considers limit variablesConstant item->Carbon asset quantity data->Carbon asset specific market data->Carbon asset emission reduction capability data +.>Differential compliance->Time variant->Carbon asset policy data->Carbon asset transaction data->Coefficient variable->And interaction relationships with each other, wherein carbon asset specific market data +.>Representing relevant factors for the market in which a particular carbon asset is located. These factors may include market supply and demand relationships, price changes, market trends, etc. />The change in (c) may affect the result of the calculation of the digital signature to reflect the current market conditions. Carbon asset emission reduction capability data +. >Indicating the emission abatement capability of a particular carbon asset. It reflects the ability of carbon assets to reduce emissions or absorb carbon. By considering the emission reduction capability, a calculation formula is calculatedThe characteristics and contributions of the different carbon assets can be distinguished. />The differential symbology represents the rate of change of the carbon asset emission abatement capability data over time, i.e., the rate of change of the emission abatement capability. This reflects the dynamics and timeliness of carbon asset emission reduction capabilities, carbon asset policy data +.>Representing policy factors related to carbon assets. This may include government policies, regulatory standards, incentives, and the like. />The change in (c) may affect the result of the calculation of the digital signature to conform to the relevant policy requirements. By introducing the change rate of emission reduction capability and the influence of policy factors, the calculation formula can reflect the dynamic property and the timeliness of the carbon asset. This helps to update the digital identification in time to reflect the latest status of the carbon asset. Constant terms and coefficient variables in the calculation formula can be adjusted as required to balance the weight and influence degree of each parameter. This gives the formula a certain flexibility and can be adapted to different situations and requirements.
Preferably, step S2 is specifically:
step S21: acquiring a preset carbon asset data blockchain according to the carbon asset digital identification data so as to inquire and acquire carbon asset detailed data and acquire carbon asset transaction request data;
Step S22: carrying out transaction preference feature extraction according to the carbon asset transaction request data so as to obtain carbon asset transaction preference feature data, and carrying out market supply and demand condition feature extraction by utilizing the carbon asset detail condition data so as to obtain carbon asset market supply and demand condition feature data;
step S23: carrying out prediction calculation according to the characteristic data of the supply and demand conditions of the carbon asset market, thereby obtaining the supply and demand prediction data of the carbon asset market;
step S24: performing model construction on current market price data of the carbon asset in the carbon asset detail data by utilizing the carbon asset market supply and demand prediction data, so as to construct a carbon asset market price trend model;
step S25: and recommending the carbon asset transaction data according to the carbon asset transaction preference characteristic data and the carbon asset market price trend model, and generating carbon asset transaction recommendation data.
By analyzing the transaction preference characteristics and market price trends, the method can generate personalized carbon asset transaction recommendations. The method is beneficial to users to accurately select the transaction according to own demands and market conditions, and improves transaction efficiency and satisfaction. By means of predictive computation and price trend model construction, the method can provide predictions of supply and demand conditions and price trends of the carbon asset market. This provides more comprehensive information support for transaction decisions, helping users make market prediction based decisions. By comprehensively considering the transaction preference and the market condition, the method can provide more accurate transaction recommendation. This helps the user select more potentially valuable and rewarding transactions, thereby improving transaction efficiency and profitability. The method may provide trusted carbon asset details and transaction request data through blockchain-based data querying and analysis. This enhances the credibility and transparency of the transaction decisions, reducing the potential for information asymmetry and risk.
Preferably, step S3 is specifically:
step S31: performing carbon asset transaction feasibility assessment on carbon asset user data and carbon asset transaction request data in the carbon asset detail data, thereby obtaining first transaction reliability data;
step S32: performing carbon asset transaction history evaluation on carbon asset user data and carbon asset transaction request data in the carbon asset detail data, thereby obtaining second transaction reliability data;
step S33: and carrying out credibility weight processing according to the first transaction credibility data and the second transaction credibility data, thereby obtaining the first carbon asset transaction qualification audit data.
The method can determine the credibility score of the transaction through evaluating the feasibility and the historical record of the transaction of the carbon asset. This helps identify potential risk and non-compliance, improving the credibility and security of the transaction. Through evaluation of the transaction history, the method can learn past transaction behaviors and credit ratings of the participants. This helps to reduce the occurrence of transaction disputes and improve the smooth progress of transactions and satisfaction of both parties. Through the credibility weight processing, different credibility data can be reasonably weighed and processed by the method. The method is beneficial to optimizing transaction auditing flow, reducing unnecessary auditing links and improving transaction efficiency and convenience. By evaluating the feasibility of a carbon asset transaction, the method can ensure that the transaction meets relevant compliance requirements. This helps to ensure legitimacy and standardization of the transaction, reducing the incidence of violations.
Preferably, step S4 is specifically:
step S41: when the first carbon asset transaction qualification audit data is determined to be dangerous carbon asset transaction qualification audit data, returning to the step S3;
step S42: when the first carbon asset transaction qualification audit data is determined to be the suspicious carbon asset transaction qualification audit data, performing second carbon asset transaction safety qualification audit according to the carbon asset detail data and the carbon asset transaction request data, thereby obtaining second carbon asset transaction qualification audit data for secondary safety confirmation operation of the carbon asset transaction;
step S43: and when the first carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data according to the carbon asset transaction request data.
By performing the qualification audits for the first time and the second time, the system can perform multi-level security verification and confirmation on the transaction so as to reduce the occurrence of dangerous and suspicious transactions. This helps to improve the security of the transaction, preventing fraud and illegal activity. Potential risks and disputes can be found in advance and processed in time by conducting qualification auditing and confirmation on the transaction for multiple times. This helps reduce the occurrence of transaction disputes, protecting the interests of the participants. By generating carbon asset transaction record data, traceability may be provided for transactions. This is important for later auditing, legal compliance, and traceable queries of transactions. By multiple qualification audits and generation of transaction records, the method can enhance the credibility and transparency of the transaction. This helps to establish trust and promote the healthy development of the carbon asset market.
Preferably, step S42 specifically includes:
step S421: when the first carbon asset transaction qualification audit data is determined to be the carbon asset transaction qualification audit data in doubt, carrying out transaction risk assessment on the carbon asset detail data and the carbon asset transaction request data, thereby obtaining carbon asset transaction risk assessment data;
step S422: performing transaction behavior anomaly evaluation on the carbon asset transaction request data, thereby obtaining carbon asset transaction behavior anomaly evaluation data;
step S423: generating second carbon asset transaction qualification audit data according to the carbon asset transaction risk assessment data and the carbon asset transaction behavioral exception assessment data;
step S424: when the second carbon asset transaction qualification audit data is not the safe carbon asset transaction qualification audit data, stopping the transaction operation, and returning to the step S1;
step S425: and when the second carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data according to the carbon asset transaction request data.
By carrying out risk evaluation and abnormal behavior evaluation on the suspicious transaction, the invention can more comprehensively evaluate the security of the transaction and reduce the occurrence of fraud and illegal behaviors. Through multiple qualification audits and evaluations, more reliable and accurate transaction qualification audit data can be provided, and the credibility and transparency of the transaction are enhanced. Through transaction risk assessment and abnormal behavior assessment, potential risks in the transaction can be discovered and identified early, and accordingly corresponding measures are taken to reduce risks. By comprehensively considering the risk assessment and the abnormal behavior assessment results, the benefits of the participants can be better protected, and the participants are prevented from being involved in unsafe or improper transactions.
Preferably, step S5 is specifically:
step S51: performing data hash processing according to the carbon asset transaction record data, so as to obtain carbon asset transaction record hash data;
step S52: performing block construction according to the carbon asset transaction record hash data and the carbon asset transaction record data, so as to construct a carbon asset transaction block;
step S53: and generating a carbon asset transaction block according to the carbon asset transaction record data to join a carbon asset transaction blockchain for traceability inquiry.
The invention ensures the integrity and the non-tamper property of the transaction record through data hash processing and block construction. Any tampering with the transaction record will result in a change in the hash value and thus be detected by the system. By building transaction records into blocks and adding to the blockchain, permanent storage and traceability of transaction records may be achieved. Participants can query transaction records on the blockchain at any time, and know the history and related information of transactions. The distributed characteristic and the non-falsifiability of the blockchain enhance the trust degree of the transaction and reduce the trust problem of an intermediate link. Participants can view and verify transaction records through the blockchain, and transparency and trust are improved. By adding the carbon asset transaction blockchain, traceable inquiry of carbon asset transaction can be realized. Participants can trace back the transaction history of a particular carbon asset, knowing the source, destination, and transaction details of the carbon asset.
Preferably, the data hash processing is processed by a carbon asset transaction hash processing calculation formula, wherein the carbon asset transaction hash processing calculation formula is specifically:
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recording hash data for carbon asset transactions, +.>Calculating a function for a hashCount (n)/(l)>Record constant entries for carbon asset transactions, +.>Record quantity data for carbon asset transactions, +.>Recording attribute data for carbon asset transactions, +.>Is a differential sign ++>Recording time variable for carbon asset transaction, +.>Record characteristic data for carbon asset transactions, +.>Coefficient variables are recorded for carbon asset transactions.
The invention constructs a calculation formula for the transaction hash processing of the carbon asset, and the calculation formula fully considers the constant term of the transaction record of the carbon assetCarbon asset transaction record quantity data->Carbon asset transaction record attribute data +>Differential sign->Carbon asset transaction record time variable ∈>Carbon asset transaction record characteristic data->Carbon asset transaction recording coefficient variable->And the interaction relation between the two, wherein the data hash processing is performed through a calculation formula, so that the carbon asset transaction record can be converted into a hash value with a fixed length. The hash value is calculated from the contents of the transaction record, and even if the data changes slightly, the hash value generated will be quite different. Thus, by hashing the transaction record, it is possible to verify whether the data has been tampered with or corrupted. Any tampering with the transaction record will result in a change in the hash value and thus be detected by the system. The use of SHA256 hash computation functions may provide higher data security. SHA256 is a widely used cryptographic hash algorithm with high collision resistance and irreversibility. It can convert data of arbitrary length into hash value of fixed length, and the calculation process is not reversible. This means that the privacy and security of the transaction record cannot be protected by back-pushing the original data from the hash value.
The invention has the beneficial effects that: by acquiring carbon asset account request data and verifying, it can be ensured that only legitimate accounts can conduct carbon asset transactions. This helps to prevent the transaction actions of unauthorized users, increasing the security and trustworthiness of the transaction. And recommending carbon asset transaction data according to the carbon asset digital identification data and the carbon asset detailed data and combining transaction request data. The step utilizes the digital identification and the detailed data, and through the analysis of the algorithm and the model, personalized transaction recommendation of the user can be provided, the user is helped to make more intelligent transaction decisions, and the transaction efficiency and the satisfaction degree are improved. And comprehensively evaluating and auditing the carbon asset detail data and the transaction request data through the transaction security qualification auditing of the first and second carbon assets. The auditing steps consider the risk, credibility and safety of the transaction, and the safety and reliability of the transaction can be further improved through different safety qualification auditing modes. And generating a carbon asset transaction block by using the transaction record data, and adding the transaction record data into a carbon asset transaction block chain to realize tracing of the transaction record. The nature of blockchain technology makes transaction records non-tamper-resistant and transparent, ensuring the authenticity and integrity of transactions. Meanwhile, through hash processing and block construction, the security and tamper resistance of transaction records are further guaranteed.
Drawings
Other features, objects and advantages of the application will become more apparent upon reading of the detailed description of a non-limiting implementation, made with reference to the accompanying drawings in which:
FIG. 1 illustrates a flow diagram of the steps of a blockchain-based carbon asset transaction method of an embodiment;
FIG. 2 shows a step flow diagram of step S1 of an embodiment;
FIG. 3 shows a step flow diagram of step S14 of an embodiment;
FIG. 4 shows a step flow diagram of step S2 of an embodiment;
FIG. 5 shows a step flow diagram of step S3 of an embodiment;
FIG. 6 shows a step flow diagram of step S4 of an embodiment;
FIG. 7 shows a step flow diagram of step S42 of an embodiment;
fig. 8 shows a step flow diagram of step S5 of an embodiment.
Detailed Description
The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to fall within the scope of the present application.
Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1 to 8, the present application provides a blockchain-based carbon asset transaction method, comprising the following steps:
step S1: acquiring carbon asset account request data, and performing carbon asset account verification according to the carbon asset account request data to generate carbon asset digital identification data;
specifically, account information, including user name, password, authentication, etc., is obtained, for example, from a carbon asset account request form submitted by the user. These data are then validated to ensure that the information provided by the user is valid and legitimate. After verification is passed, a unique carbon asset digital identification is generated as identification data of the account.
Step S2: acquiring carbon asset detailed data according to the carbon asset digital identification data, acquiring carbon asset transaction request data, recommending carbon asset transaction data according to the carbon asset detailed data and the carbon asset transaction request data, and generating carbon asset transaction recommendation data;
specifically, the carbon asset detail data on the relevant database or blockchain is queried, for example, based on the carbon asset digital identification data, and carbon asset transaction request data for the user is obtained. Personalized carbon asset transaction recommendation data including recommended carbon asset types, transaction modes, transaction amounts and the like are generated by utilizing a recommendation algorithm through analyzing data such as historical transactions, preferences, market trends and the like of users.
Step S3: performing first carbon asset transaction security qualification audit on the carbon asset detail data and the carbon asset transaction request data, thereby obtaining first carbon asset transaction qualification audit data;
specifically, the transaction is security audited, for example, based on details of the carbon asset and transaction request data. The auditing may include verifying the legitimacy of the transaction, checking the identity and reputation of both parties to the transaction, assessing the risk of the transaction, and so forth. And generating first carbon asset transaction qualification audit data for subsequent processing through audit.
Step S4: when the first carbon asset transaction qualification audit data is determined to be dangerous carbon asset transaction qualification audit data, returning to the step S3; when the first carbon asset transaction qualification audit data is determined to be the suspicious carbon asset transaction qualification audit data, performing second carbon asset transaction safety qualification audit according to the carbon asset detail data and the carbon asset transaction request data, thereby obtaining second carbon asset transaction qualification audit data for secondary safety confirmation operation of the carbon asset transaction; when the first carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data, wherein the first carbon asset transaction safety qualification audit and the second carbon asset transaction safety qualification audit are different safety qualification audit modes;
Specifically, if the first carbon asset transaction qualification audit data is dangerous carbon asset transaction qualification audit data, for example, returning to step S3 to perform the safety qualification audit again to ensure the safety of the transaction. And if the first carbon asset transaction qualification audit data is the doubtful carbon asset transaction qualification audit data, performing second carbon asset transaction safety qualification audit. And further auditing the transaction security according to the carbon asset detail data and the transaction request data, and generating second carbon asset transaction qualification auditing data for subsequent transaction confirmation operation. If the first carbon asset transaction qualification audit data is secure carbon asset transaction qualification audit data, then the next step may be continued.
Step S5: and generating a carbon asset transaction block according to the carbon asset transaction record data to join a carbon asset transaction blockchain for traceability inquiry.
Specifically, transaction record data is generated, for example, from carbon asset transaction data that has been subject to a security qualification audit. And then, carrying out hash processing on the transaction record data to generate carbon asset transaction record hash data. Next, a carbon asset transaction block is constructed from the carbon asset transaction record hash data and other necessary data. And finally, adding the carbon asset transaction block into a carbon asset transaction block chain to realize the traceability and safety of transaction records.
By adopting the blockchain technology, all the carbon asset transaction records are publicly recorded on the blockchain, so that the transparency and traceability of the transaction are ensured. The participant can check and verify the transaction history of the carbon asset at any time, thereby improving the credibility and fairness of the transaction. By utilizing a distributed verification mechanism of a blockchain, the carbon asset account request data and the carbon asset transaction request data can be automatically verified and confirmed in a smart contract mode and the like, so that an artificial intermediation link and transaction cost are reduced. This may improve the efficiency and convenience of the transaction. And adopting two different carbon asset transaction safety qualification auditing steps, namely, a first carbon asset transaction safety qualification audit and a second carbon asset transaction safety qualification audit. The multi-level auditing mechanism can more fully evaluate the compliance and risk of carbon asset transactions and provide a safer transaction environment, reducing the risk of fraud and improper behavior. Promote the development of the carbon market and promote the realization of the carbon emission reduction target. By providing a trusted carbon asset trading mechanism, businesses and individuals can be motivated to participate in carbon abatement activities, driving the development of low carbon economies. By generating a carbon asset transaction blockchain, the method provides a traceable query function, and anyone can trace the transaction history and related information of a specific carbon asset. This helps to build a more reliable carbon asset traceability system that supports efficient supervision and assessment by environmental protection authorities, regulatory authorities and stakeholders.
Preferably, step S1 is specifically:
step S11: acquiring carbon asset account request data;
specifically, the carbon asset account request data, including user name, password, mailbox information, is obtained, for example, from a registry submitted by the user.
Step S12: carrying out identity verification on account identity data in the carbon asset account request data so as to obtain carbon asset account identity verification data;
in particular, for example, authentication methods are used, such as verifying whether a user-provided user name and password are consistent with a system record. After verification is passed, carbon asset account authentication data is generated for subsequent processing.
Step S13: returning to the step S11 when the carbon asset account identity verification data is determined to be false carbon asset account identity verification data;
specifically, for example, by checking the carbon asset account authentication data, if the authentication data is found to be false or invalid, it is indicated that the identity information provided by the user is not satisfactory. In this case, returning to step S11, the user is required to newly provide the correct identity data.
Step S14: when the carbon asset account identity verification data is determined to be the real carbon asset account identity verification data, carbon asset compliance verification is performed according to the carbon asset account request data, so that carbon asset compliance verification data is obtained;
Specifically, the carbon asset account request data is compliance verified, for example, based on the actual carbon asset account authentication data. Verification may include checking whether the user meets the required compliance requirements, such as authentication, KYC (your knowledge of the customer). Through verification, carbon asset compliance verification data is generated for subsequent processing.
Step S15: when the carbon asset compliance verification data is determined to be the suspicious carbon asset compliance verification data, returning to the step S11;
in particular, for example, for suspected carbon asset compliance verification data, there may be problems or incomplete information in terms of compliance. In this case, returning to step S11, the user is required to provide more accurate and complete compliance verification data.
Step S16: when the carbon asset compliance verification data is legal carbon asset compliance verification data, digital identification generation is carried out according to the carbon asset account request data, and carbon asset digital identification data is generated.
Specifically, digital identification data of the carbon asset is generated using a particular algorithm or rule, for example, based on legal carbon asset compliance verification data. The digital identification data may be used to uniquely identify and identify the carbon asset account. The generated digital identification data of the carbon asset can be used for subsequent operation and authentication.
The invention improves the compliance and safety of carbon asset transaction: by carrying out identity verification and compliance verification on the carbon asset account request data, the method can effectively screen out real and legal carbon asset accounts and reduce the risk of false accounts or illegal transactions. This helps to build a compliant, safe carbon asset transaction environment. By generating digital identification data for the carbon asset, each carbon asset transaction can be traced and verified. This enhances transparency and credibility of the transaction, helps prevent potential fraud, and promotes the development of the carbon asset market. Based on the carbon asset detail data and the transaction request data, the method can generate carbon asset transaction recommendation data and provide personalized transaction suggestions for users. This helps to improve transaction efficiency and user satisfaction. By storing transaction records in the form of blockchains, the present method provides traceability of carbon asset transactions. Anyone can query and track transaction history and related information for a particular carbon asset, thereby enhancing the reliability and auditability of the transaction. The development of the carbon market is promoted, and the realization of the carbon emission reduction target is promoted. By providing an efficient, safe, trusted carbon asset trading mechanism, more participants can be motivated to join the carbon market, promoting the implementation of carbon emission abatement actions, and promoting sustainable development.
Preferably, the carbon asset compliance verification data includes carbon asset source verification data, carbon asset issuing validity verification data, carbon emission reduction standard compliance verification data, and carbon asset quota and limit verification data, and the step of carbon asset compliance verification in step S14 specifically includes:
step S141: performing carbon asset source verification according to the carbon asset account request data, thereby obtaining carbon asset source verification data;
specifically, for example, for an asset source field in the carbon asset account request data, it is verified whether the field indicates a legitimate carbon asset source. Data querying, comparison, or verification with an external database may be performed to ensure that the source of the carbon asset is legitimate and trusted. The validation results will generate carbon asset source validation data.
Step S142: performing carbon asset issuing validity verification according to the carbon asset account request data, thereby obtaining carbon asset issuing validity verification data;
specifically, it is verified whether such information complies with relevant regulations, policies and regulations, for example, from fields of issuer, date of issue, number of issues, etc. in the carbon asset account request data. Comparison and verification with the relevant institution or database may be required. The validation results will generate carbon asset issue validity validation data.
Step S143: performing carbon emission reduction standard compliance verification according to the carbon asset account request data, thereby obtaining carbon emission reduction standard compliance verification data;
specifically, such information is validated as to whether it meets selected carbon emissions reduction criteria and requirements, e.g., based on fields in the carbon asset account request data for carbon emissions reduction criteria, emissions reduction projects, etc. Comparison and verification with a carbon emission reduction standard or certification authority may be required. The verification result will generate carbon emission reduction standard compliance verification data.
Step S144: and carrying out carbon asset quota and limitation verification according to the carbon asset account request data, thereby obtaining carbon asset quota and limitation verification data.
Specifically, based on fields such as quota number, holding period, transaction limit, etc. in the carbon asset account request data, it is verified whether such information meets the specified quota and limit requirements. Comparison and verification with the relevant institution or database may be required. The validation results will generate carbon asset quota and limit validation data.
The method ensures the compliance and the credibility of the carbon asset through the verification of the source, the issuing legitimacy and the compliance with the carbon emission reduction standard and the quota and the limit of the carbon asset. This helps to prevent illegal or fraudulent carbon asset transactions and improves the integrity and stability of the market. Through verifying the carbon emission reduction standard compliance, the method ensures that the carbon asset meets the emission reduction requirement and promotes the realization of an emission reduction target. This helps to promote sustainable development and environmental protection, contributing to the proliferation of the carbon market. By verifying the origin and issuance legitimacy of the carbon asset, the method increases the transparency of the transaction party's information. This helps investors and trading participants to understand the context and trust of carbon assets, reduces the problem of information asymmetry, and promotes fairness and efficiency of the trade. By verifying quota and restrictions on carbon assets, the method helps to strengthen the regulation of the carbon market. This can prevent transactions that exceed quota or violate limits from occurring, maintain smooth running of the market, and protect investors' equity. By providing carbon asset compliance verification data, the method provides a reference basis for investors and trading participants. This helps them make intelligent investment decisions to select carbon asset transactions that meet regulatory and standard requirements.
Preferably, the digital identifier generation is calculated and generated through a carbon asset digital identifier calculation formula, wherein the carbon asset digital identifier calculation formula specifically comprises:
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digital identification data for carbon asset, < >>As a limit variable +.>Is a constant term->For carbon asset quantity data, +.>Specific market data for carbon asset, +.>For carbon asset emission reduction capability data, +.>For differential compliance, ++>Is a time variable +.>Is carbon asset policy data->Transaction data for carbon asset->Is a coefficient variable.
The invention constructs a calculation formula of the carbon asset digital identification, which fully considers limit variablesConstant item->Carbon asset quantity data->Carbon asset specific market data->Carbon asset emission reduction capability data +.>Differential compliance->Time variant->Carbon asset policy data->Carbon asset transaction data->Coefficient variable->And interaction relationships with each other, wherein carbon asset specific market data +.>Representing relevant factors for the market in which a particular carbon asset is located. These factors may include market supply and demand relationships, price changes, market trends, etc. />The change in (c) may affect the result of the calculation of the digital signature to reflect the current market conditions. Carbon asset emission reduction capability data +. >Indicating the emission abatement capability of a particular carbon asset. It reflects the ability of carbon assets to reduce emissions or absorb carbon. By considering emission reduction capabilities, the calculation formula can distinguish between the characteristics and contributions of different carbon assets. />The differential symbology represents the rate of change of the carbon asset emission abatement capability data over time, i.e., the rate of change of the emission abatement capability. This reflects the dynamics and timeliness of carbon asset emission reduction capabilities, carbon asset policy data +.>Representing policy factors related to carbon assets. This may include governmentsPolicies, regulatory standards, motivational measures, and the like. />The change in (c) may affect the result of the calculation of the digital signature to conform to the relevant policy requirements. By introducing the change rate of emission reduction capability and the influence of policy factors, the calculation formula can reflect the dynamic property and the timeliness of the carbon asset. This helps to update the digital identification in time to reflect the latest status of the carbon asset. Constant terms and coefficient variables in the calculation formula can be adjusted as required to balance the weight and influence degree of each parameter. This gives the formula a certain flexibility and can be adapted to different situations and requirements.
Preferably, step S2 is specifically:
step S21: acquiring a preset carbon asset data blockchain according to the carbon asset digital identification data so as to inquire and acquire carbon asset detailed data and acquire carbon asset transaction request data;
Specifically, the corresponding carbon asset detail data and carbon asset transaction request data are retrieved from a preset carbon asset data blockchain, for example, by using the carbon asset digital identification data as a query condition. The retrieval and retrieval of data may be accomplished using blockchain techniques and related query algorithms.
Step S22: carrying out transaction preference feature extraction according to the carbon asset transaction request data so as to obtain carbon asset transaction preference feature data, and carrying out market supply and demand condition feature extraction by utilizing the carbon asset detail condition data so as to obtain carbon asset market supply and demand condition feature data;
specifically, the transaction preference feature data is extracted, for example, from the fields of transaction type, quantity, price, etc. in the carbon asset transaction request data. And extracting market supply and demand characteristic data according to the fields such as supply quantity, demand quantity, market price and the like in the carbon asset detail data. Data processing and feature extraction may be performed using statistical analysis methods, machine learning algorithms, or related feature extraction techniques.
Step S23: carrying out prediction calculation according to the characteristic data of the supply and demand conditions of the carbon asset market, thereby obtaining the supply and demand prediction data of the carbon asset market;
Specifically, a time series analysis, regression analysis, or other relevant predictive algorithm may be used to make a predictive calculation of market supply and demand, for example, based on carbon asset market supply and demand characteristic data. The forecast results will provide forecast data for the supply and demand of the carbon asset market for subsequent model construction and transactional data recommendation.
Step S24: performing model construction on current market price data of the carbon asset in the carbon asset detail data by utilizing the carbon asset market supply and demand prediction data, so as to construct a carbon asset market price trend model;
in particular, a regression model, time series model, or other related modeling technique may be used to construct a carbon asset market price trend model, for example, based on current market price data in the carbon asset market forecast data and the carbon asset detail data. The model can reflect the trend and rule of the price of the carbon asset along with the supply and demand of the market.
Step S25: and recommending the carbon asset transaction data according to the carbon asset transaction preference characteristic data and the carbon asset market price trend model, and generating carbon asset transaction recommendation data.
Specifically, for example, in conjunction with carbon asset trade preference feature data and a carbon asset market price trend model, carbon asset trade recommendation data may be generated using recommendation algorithms, optimization algorithms, or other related decision methods. The recommendation data may include information on suggested transaction types, amounts, prices, etc. to assist the user in making more informed carbon asset transaction decisions.
By analyzing the transaction preference characteristics and market price trends, the method can generate personalized carbon asset transaction recommendations. The method is beneficial to users to accurately select the transaction according to own demands and market conditions, and improves transaction efficiency and satisfaction. By means of predictive computation and price trend model construction, the method can provide predictions of supply and demand conditions and price trends of the carbon asset market. This provides more comprehensive information support for transaction decisions, helping users make market prediction based decisions. By comprehensively considering the transaction preference and the market condition, the method can provide more accurate transaction recommendation. This helps the user select more potentially valuable and rewarding transactions, thereby improving transaction efficiency and profitability. The method may provide trusted carbon asset details and transaction request data through blockchain-based data querying and analysis. This enhances the credibility and transparency of the transaction decisions, reducing the potential for information asymmetry and risk.
Preferably, step S3 is specifically:
step S31: performing carbon asset transaction feasibility assessment on carbon asset user data and carbon asset transaction request data in the carbon asset detail data, thereby obtaining first transaction reliability data;
Specifically, the feasibility assessment is performed based on, for example, carbon asset user data and carbon asset transaction request data in the carbon asset detail data. The evaluation may include the following: checking the reputation of the carbon asset user, verifying the legitimacy of the transaction request, confirming the availability of the carbon asset involved in the transaction, etc. And generating first transaction credibility data according to the evaluation result, wherein the credibility data represents the credibility of the first transaction.
Step S32: performing carbon asset transaction history evaluation on carbon asset user data and carbon asset transaction request data in the carbon asset detail data, thereby obtaining second transaction reliability data;
specifically, the transaction history evaluation is performed, for example, based on carbon asset user data and carbon asset transaction request data in the carbon asset detail data. The evaluation may include the following: analyzing historical transaction records of the carbon asset user, checking whether the transaction request is consistent with a previous transaction pattern, evaluating behavior and transaction habits of the carbon asset user, and the like. And generating second transaction credibility data according to the evaluation result, wherein the second transaction credibility data represents the credibility of the second transaction.
Step S33: and carrying out credibility weight processing according to the first transaction credibility data and the second transaction credibility data, thereby obtaining the first carbon asset transaction qualification audit data.
Specifically, the credibility weighting process is performed, for example, according to the first transaction credibility data and the second transaction credibility data. Different weights and importance can be given according to different evaluation indexes and evaluation results. For example, the two confidence data may be weighted using a weighted average or other correlation method to yield a combined transaction confidence. And generating first carbon asset transaction qualification audit data for subsequent qualification audit and transaction safety confirmation according to the processed result.
The method can determine the credibility score of the transaction through evaluating the feasibility and the historical record of the transaction of the carbon asset. This helps identify potential risk and non-compliance, improving the credibility and security of the transaction. Through evaluation of the transaction history, the method can learn past transaction behaviors and credit ratings of the participants. This helps to reduce the occurrence of transaction disputes and improve the smooth progress of transactions and satisfaction of both parties. Through the credibility weight processing, different credibility data can be reasonably weighed and processed by the method. The method is beneficial to optimizing transaction auditing flow, reducing unnecessary auditing links and improving transaction efficiency and convenience. By evaluating the feasibility of a carbon asset transaction, the method can ensure that the transaction meets relevant compliance requirements. This helps to ensure legitimacy and standardization of the transaction, reducing the incidence of violations.
Preferably, step S4 is specifically:
step S41: when the first carbon asset transaction qualification audit data is determined to be dangerous carbon asset transaction qualification audit data, returning to the step S3;
specifically, if the transaction qualification audit data of the dangerous carbon asset is determined, for example, according to the result of the transaction qualification audit data of the first carbon asset, the transaction is indicated to have risk or violation, and qualification audit needs to be carried out again. In this case, return to step S3, the transaction credibility assessment and qualification audit are performed again.
Step S42: when the first carbon asset transaction qualification audit data is determined to be the suspicious carbon asset transaction qualification audit data, performing second carbon asset transaction safety qualification audit according to the carbon asset detail data and the carbon asset transaction request data, thereby obtaining second carbon asset transaction qualification audit data for secondary safety confirmation operation of the carbon asset transaction;
specifically, if the first carbon asset transaction qualification audit data is determined to be in doubt carbon asset transaction qualification audit data, for example, it indicates that the qualification audit result is uncertain or there is a problem, and a second security qualification audit is required. In this case, the second carbon asset transaction security qualification audit is performed using the carbon asset detail data and the carbon asset transaction request data, resulting in second carbon asset transaction qualification audit data for use in subsequent transaction security validation.
Step S43: and when the first carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data according to the carbon asset transaction request data.
Specifically, the generation of the transaction record may be performed, for example, if the first carbon asset transaction qualification audit data is determined to be secure carbon asset transaction qualification audit data, indicating that the transaction meets the security criteria. In this case, the carbon asset transaction request data is used to generate carbon asset transaction record data, record transaction related information, and use the record data for subsequent transaction traceability queries and record preservation.
By performing the qualification audits for the first time and the second time, the system can perform multi-level security verification and confirmation on the transaction so as to reduce the occurrence of dangerous and suspicious transactions. This helps to improve the security of the transaction, preventing fraud and illegal activity. Potential risks and disputes can be found in advance and processed in time by conducting qualification auditing and confirmation on the transaction for multiple times. This helps reduce the occurrence of transaction disputes, protecting the interests of the participants. By generating carbon asset transaction record data, traceability may be provided for transactions. This is important for later auditing, legal compliance, and traceable queries of transactions. By multiple qualification audits and generation of transaction records, the method can enhance the credibility and transparency of the transaction. This helps to establish trust and promote the healthy development of the carbon asset market.
Preferably, step S42 specifically includes:
step S421: when the first carbon asset transaction qualification audit data is determined to be the carbon asset transaction qualification audit data in doubt, carrying out transaction risk assessment on the carbon asset detail data and the carbon asset transaction request data, thereby obtaining carbon asset transaction risk assessment data;
specifically, for example, if the first carbon asset transaction qualification audit data is determined to be in doubt carbon asset transaction qualification audit data, an uncertainty or problem exists in the qualification audit result. In this case, the transaction risk assessment is performed based on the carbon asset detail data and the carbon asset transaction request data. The purpose of the assessment is to assess risk levels of the transaction, including risk factors such as possible illegal activity, fraudulent activity, illicit manipulation, etc. And through evaluation, acquiring carbon asset transaction risk evaluation data for subsequent qualification auditing processing.
Step S422: performing transaction behavior anomaly evaluation on the carbon asset transaction request data, thereby obtaining carbon asset transaction behavior anomaly evaluation data;
specifically, for example, in this step, transaction behavioral anomaly assessment is performed with respect to carbon asset transaction request data. By analyzing transaction behavior characteristics in the transaction request data, such as transaction amount, frequency, participants, etc., it is detected whether an abnormal transaction behavior, e.g., abnormal transaction pattern, abnormal transaction amount, etc., exists. And obtaining abnormal evaluation data of the transaction behavior of the carbon asset through evaluation, and using the abnormal evaluation data for subsequent qualification auditing.
Step S423: generating second carbon asset transaction qualification audit data according to the carbon asset transaction risk assessment data and the carbon asset transaction behavioral exception assessment data;
specifically, for example, according to the carbon asset transaction risk assessment data and the carbon asset transaction behavior abnormality assessment data obtained in step S421 and step S422, the risk factors of the transaction are comprehensively considered, and second carbon asset transaction qualification audit data is generated. This data is used to further evaluate and determine the trustworthiness of the transaction.
Specifically, for example, comprehensive evaluation: and combining the carbon asset transaction risk assessment data and the carbon asset transaction behavioral exception assessment data to perform comprehensive assessment. And carrying out weighted calculation or comprehensive judgment on different risk factors according to the set evaluation indexes and weights to generate a comprehensive risk evaluation result.
Specifically, for example, threshold determination: and judging the carbon asset transaction risk assessment data and the carbon asset transaction behavioral exception assessment data according to the set threshold or rule. For example, the set threshold value indicates a risk level, and if the comprehensively evaluated risk level exceeds the set threshold value, the risk transaction is determined; if the threshold is not exceeded, a secure transaction is determined.
Specifically, for example, abnormality detection: and performing anomaly detection on the carbon asset transaction behavior anomaly evaluation data by using methods such as machine learning or statistical analysis. And identifying abnormal conditions which are inconsistent with normal transaction behaviors by training a model or setting rules, and evaluating the transaction qualification according to the abnormal conditions.
Specifically, decision support data for a second carbon asset transaction qualification audit is generated, e.g., based on the results of the comprehensive evaluation and decision rules. Such data may include suggested operations, risk cues, suggestions for further investigation or review, etc. for subsequent carbon asset transaction confirmation or processing.
Step S424: when the second carbon asset transaction qualification audit data is not the safe carbon asset transaction qualification audit data, stopping the transaction operation, and returning to the step S1;
specifically, for example, if the second carbon asset transaction qualification audit data is determined not to be secure carbon asset transaction qualification audit data, a higher risk or anomaly exists for the transaction. In this case, it is necessary to suspend the transaction operation and return to step S1 to resume the carbon asset account verification and qualification audit flow.
Step S425: and when the second carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data according to the carbon asset transaction request data.
Specifically, the generation of the transaction record may be performed, for example, if the second carbon asset transaction qualification audit data is determined to be secure carbon asset transaction qualification audit data, indicating that the transaction meets the security criteria. In this case, the carbon asset transaction request data is used to generate carbon asset transaction record data, record transaction related information including transaction amount, participant, transaction time, etc., for subsequent transaction traceability queries and record keeping.
By carrying out risk evaluation and abnormal behavior evaluation on the suspicious transaction, the invention can more comprehensively evaluate the security of the transaction and reduce the occurrence of fraud and illegal behaviors. Through multiple qualification audits and evaluations, more reliable and accurate transaction qualification audit data can be provided, and the credibility and transparency of the transaction are enhanced. Through transaction risk assessment and abnormal behavior assessment, potential risks in the transaction can be discovered and identified early, and accordingly corresponding measures are taken to reduce risks. By comprehensively considering the risk assessment and the abnormal behavior assessment results, the benefits of the participants can be better protected, and the participants are prevented from being involved in unsafe or improper transactions.
Preferably, step S5 is specifically:
step S51: performing data hash processing according to the carbon asset transaction record data, so as to obtain carbon asset transaction record hash data;
specifically, the hash processing is performed, for example, from the carbon asset transaction record data. The hash processing is to convert the transaction record data into a hash value of a fixed length through a specific hash algorithm. By hashing the transaction record data, the integrity and non-tamper ability of the transaction data may be ensured. The obtained carbon asset transaction record hash data may be used for subsequent chunk construction.
Step S52: performing block construction according to the carbon asset transaction record hash data and the carbon asset transaction record data, so as to construct a carbon asset transaction block;
specifically, for example, block construction is performed based on the carbon asset transaction record hash data and the carbon asset transaction record data obtained in step S51. Block construction is to combine transaction record data with its hash value into one block. The chunk contains transaction data and other necessary information such as a time stamp, hash value of the last chunk, etc. The constructed carbon asset transaction block may be used for subsequent blockchain operations.
Step S53: and generating a carbon asset transaction block according to the carbon asset transaction record data to join a carbon asset transaction blockchain for traceability inquiry.
Specifically, it is added to the carbon asset transaction blockchain, for example, according to the carbon asset transaction block constructed in step S52. The carbon asset transaction blockchain is a distributed, non-tamperable data structure for recording the transaction history of a carbon asset. The constructed carbon asset transaction block is added into the blockchain, so that traceability inquiry of carbon asset transaction can be realized, and traceability and safety of transaction records are ensured.
The invention ensures the integrity and the non-tamper property of the transaction record through data hash processing and block construction. Any tampering with the transaction record will result in a change in the hash value and thus be detected by the system. By building transaction records into blocks and adding to the blockchain, permanent storage and traceability of transaction records may be achieved. Participants can query transaction records on the blockchain at any time, and know the history and related information of transactions. The distributed characteristic and the non-falsifiability of the blockchain enhance the trust degree of the transaction and reduce the trust problem of an intermediate link. Participants can view and verify transaction records through the blockchain, and transparency and trust are improved. By adding the carbon asset transaction blockchain, traceable inquiry of carbon asset transaction can be realized. Participants can trace back the transaction history of a particular carbon asset, knowing the source, destination, and transaction details of the carbon asset.
Preferably, the data hash processing is processed by a carbon asset transaction hash processing calculation formula, wherein the carbon asset transaction hash processing calculation formula is specifically:
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recording hash data for carbon asset transactions, +.>Calculating a function for the hash +.>Record constant entries for carbon asset transactions, +.>Record quantity data for carbon asset transactions, +.>Recording attribute data for carbon asset transactions, +.>Is a differential sign ++>Recording time variable for carbon asset transaction, +.>Record characteristic data for carbon asset transactions, +.>Coefficient variables are recorded for carbon asset transactions.
The invention constructs a calculation formula for the transaction hash processing of the carbon asset, and the calculation formula fully considers the constant term of the transaction record of the carbon assetCarbon asset transaction record quantity data->Carbon asset transaction record attribute data +>Differential sign->Carbon asset transactionsRecording time variable +.>Carbon asset transaction record characteristic data->Carbon asset transaction recording coefficient variable->And the interaction relation between the two, wherein the data hash processing is performed through a calculation formula, so that the carbon asset transaction record can be converted into a hash value with a fixed length. The hash value is calculated from the contents of the transaction record, and even if the data changes slightly, the hash value generated will be quite different. Thus, by hashing the transaction record, it is possible to verify whether the data has been tampered with or corrupted. Any tampering with the transaction record will result in a change in the hash value and thus be detected by the system. The use of SHA256 hash computation functions may provide higher data security. SHA256 is a widely used cryptographic hash algorithm with high collision resistance and irreversibility. It can convert data of arbitrary length into hash value of fixed length, and the calculation process is not reversible. This means that the privacy and security of the transaction record cannot be protected by back-pushing the original data from the hash value.
The invention has the beneficial effects that: by acquiring carbon asset account request data and verifying, it can be ensured that only legitimate accounts can conduct carbon asset transactions. This helps to prevent the transaction actions of unauthorized users, increasing the security and trustworthiness of the transaction. And recommending carbon asset transaction data according to the carbon asset digital identification data and the carbon asset detailed data and combining transaction request data. The step utilizes the digital identification and the detailed data, and through the analysis of the algorithm and the model, personalized transaction recommendation of the user can be provided, the user is helped to make more intelligent transaction decisions, and the transaction efficiency and the satisfaction degree are improved. And comprehensively evaluating and auditing the carbon asset detail data and the transaction request data through the transaction security qualification auditing of the first and second carbon assets. The auditing steps consider the risk, credibility and safety of the transaction, and the safety and reliability of the transaction can be further improved through different safety qualification auditing modes. And generating a carbon asset transaction block by using the transaction record data, and adding the transaction record data into a carbon asset transaction block chain to realize tracing of the transaction record. The nature of blockchain technology makes transaction records non-tamper-resistant and transparent, ensuring the authenticity and integrity of transactions. Meanwhile, through hash processing and block construction, the security and tamper resistance of transaction records are further guaranteed.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (2)
1. A blockchain-based carbon asset trading method, comprising the steps of:
step S1: acquiring carbon asset account request data, and performing carbon asset account verification according to the carbon asset account request data to generate carbon asset digital identification data;
step S2: acquiring carbon asset detailed data according to the carbon asset digital identification data, acquiring carbon asset transaction request data, recommending carbon asset transaction data according to the carbon asset detailed data and the carbon asset transaction request data, and generating carbon asset transaction recommendation data;
Step S3: performing first carbon asset transaction security qualification audit on the carbon asset detail data and the carbon asset transaction request data, thereby obtaining first carbon asset transaction qualification audit data;
step S4: when the first carbon asset transaction qualification audit data is determined to be dangerous carbon asset transaction qualification audit data, returning to the step S3; when the first carbon asset transaction qualification audit data is determined to be the suspicious carbon asset transaction qualification audit data, performing second carbon asset transaction safety qualification audit according to the carbon asset detail data and the carbon asset transaction request data, thereby obtaining second carbon asset transaction qualification audit data for secondary safety confirmation operation of the carbon asset transaction; when the first carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data, wherein the first carbon asset transaction safety qualification audit and the second carbon asset transaction safety qualification audit are different safety qualification audit modes;
step S5: generating a carbon asset transaction block according to the carbon asset transaction record data to join a carbon asset transaction block chain for traceability inquiry;
the step S1 specifically comprises the following steps: step S11: acquiring carbon asset account request data; step S12: carrying out identity verification on account identity data in the carbon asset account request data so as to obtain carbon asset account identity verification data; step S13: returning to the step S11 when the carbon asset account identity verification data is determined to be false carbon asset account identity verification data; step S14: when the carbon asset account identity verification data is determined to be the real carbon asset account identity verification data, carbon asset compliance verification is performed according to the carbon asset account request data, so that carbon asset compliance verification data is obtained; step S15: when the carbon asset compliance verification data is determined to be the suspicious carbon asset compliance verification data, returning to the step S11; step S16: when the carbon asset compliance verification data is legal carbon asset compliance verification data, digital identification generation is carried out according to the carbon asset account request data, and carbon asset digital identification data is generated;
The carbon asset compliance verification data includes carbon asset source verification data, carbon asset release validity verification data, carbon emission reduction standard compliance verification data, and carbon asset quota and limit verification data, and the step of carbon asset compliance verification in step S14 specifically includes: performing carbon asset source verification according to the carbon asset account request data, thereby obtaining carbon asset source verification data; performing carbon asset issuing validity verification according to the carbon asset account request data, thereby obtaining carbon asset issuing validity verification data; performing carbon emission reduction standard compliance verification according to the carbon asset account request data, thereby obtaining carbon emission reduction standard compliance verification data; performing carbon asset quota and limitation verification according to the carbon asset account request data, so as to obtain carbon asset quota and limitation verification data;
the digital identification generation is calculated and generated through a carbon asset digital identification calculation formula, wherein the carbon asset digital identification calculation formula specifically comprises the following steps:
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the method comprises the steps of identifying data for carbon asset numbers, limiting variables, constant items, carbon asset quantity data, carbon asset specific market data, carbon asset emission reduction capacity data, differential coincidence, time variables, carbon asset policy data, carbon asset transaction data and coefficient variables;
The step S2 specifically comprises the following steps: acquiring a preset carbon asset data blockchain according to the carbon asset digital identification data so as to inquire and acquire carbon asset detailed data and acquire carbon asset transaction request data; carrying out transaction preference feature extraction according to the carbon asset transaction request data so as to obtain carbon asset transaction preference feature data, and carrying out market supply and demand condition feature extraction by utilizing the carbon asset detail condition data so as to obtain carbon asset market supply and demand condition feature data; carrying out prediction calculation according to the characteristic data of the supply and demand conditions of the carbon asset market, thereby obtaining the supply and demand prediction data of the carbon asset market; performing model construction on current market price data of the carbon asset in the carbon asset detail data by utilizing the carbon asset market supply and demand prediction data, so as to construct a carbon asset market price trend model; recommending carbon asset transaction data according to the carbon asset transaction preference feature data and the carbon asset market price trend model, and generating carbon asset transaction recommendation data;
the step S3 specifically comprises the following steps: performing carbon asset transaction feasibility assessment on carbon asset user data and carbon asset transaction request data in the carbon asset detail data, thereby obtaining first transaction reliability data; performing carbon asset transaction history evaluation on carbon asset user data and carbon asset transaction request data in the carbon asset detail data, thereby obtaining second transaction reliability data; performing credibility weight processing according to the first transaction credibility data and the second transaction credibility data, thereby obtaining first carbon asset transaction qualification audit data;
The step S4 specifically comprises the following steps: step S41: when the first carbon asset transaction qualification audit data is determined to be dangerous carbon asset transaction qualification audit data, returning to the step S3; step S42: when the first carbon asset transaction qualification audit data is determined to be the suspicious carbon asset transaction qualification audit data, performing second carbon asset transaction safety qualification audit according to the carbon asset detail data and the carbon asset transaction request data, thereby obtaining second carbon asset transaction qualification audit data for secondary safety confirmation operation of the carbon asset transaction; step S43: when the first carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data according to the carbon asset transaction request data;
the step S42 specifically includes: when the first carbon asset transaction qualification audit data is determined to be the carbon asset transaction qualification audit data in doubt, carrying out transaction risk assessment on the carbon asset detail data and the carbon asset transaction request data, thereby obtaining carbon asset transaction risk assessment data; performing transaction behavior anomaly evaluation on the carbon asset transaction request data, thereby obtaining carbon asset transaction behavior anomaly evaluation data; generating second carbon asset transaction qualification audit data according to the carbon asset transaction risk assessment data and the carbon asset transaction behavioral exception assessment data; when the second carbon asset transaction qualification audit data is not the safe carbon asset transaction qualification audit data, stopping the transaction operation, and returning to the step S1; when the second carbon asset transaction qualification audit data is determined to be the safe carbon asset transaction qualification audit data, generating carbon asset transaction record data according to the carbon asset transaction request data;
The step S5 specifically comprises the following steps: performing data hash processing according to the carbon asset transaction record data, so as to obtain carbon asset transaction record hash data; performing block construction according to the carbon asset transaction record hash data and the carbon asset transaction record data, so as to construct a carbon asset transaction block; and generating a carbon asset transaction block according to the carbon asset transaction record data to join a carbon asset transaction blockchain for traceability inquiry.
2. The method of claim 1, wherein the data hash processing is performed by a carbon asset transaction hash processing calculation formula, wherein the carbon asset transaction hash processing calculation formula is specifically:
；
recording hash data for carbon asset transactions, +.>Calculating a function for the hash +.>Record constant entries for carbon asset transactions, +.>Record quantity data for carbon asset transactions, +.>Recording attribute data for carbon asset transactions, +.>As a sign of the differential,/>recording time variable for carbon asset transaction, +.>Record characteristic data for carbon asset transactions, +.>Coefficient variables are recorded for carbon asset transactions.
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