CN116843221A - Accounting method, device, equipment and medium for carbon account - Google Patents
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Abstract
The application discloses a method, a device, equipment and a medium for accounting a carbon account, which can be applied to the field of big data or the field of finance, and are used for acquiring low-carbon behavior data corresponding to the low-carbon behavior of a target user, converting the low-carbon behavior data to obtain target carbon emission reduction corresponding to the target low-carbon behavior, and determining target integral corresponding to the target carbon emission reduction according to the corresponding relation between the carbon emission reduction and the carbon account integral. And finally, mapping the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount into target low-carbon links corresponding to the target integral, and displaying the target integral and the target low-carbon links by using a carbon account of a target user. Based on the method, the target points are displayed in the carbon account, the target low-carbon links corresponding to the target points are also displayed, the target low-carbon links can indicate the low-carbon behaviors for obtaining the target points, the data for completing the target low-carbon behaviors and the emission reduction effect of real contribution, and therefore more accurate low-carbon behavior measurement is achieved.
Description
Technical Field
The application relates to the field of big data, in particular to a method, a device, equipment and a medium for accounting a carbon account.
Background
Current financial institutions (e.g., banking institutions) guide consumers in their decision making towards green consumption by setting up a carbon account regime to track the carbon emission reduction behavior of users through the financial services of the carbon account. In practical applications, a corresponding carbon account is typically transacted for a user through a bank card held by the user, and the low-carbon behavior of the user is stored in the carbon account in a manner of points.
In the related art, the accounting method of the carbon account is mostly used for accounting the points stored in the carbon account of the user, and the points can be used for exchanging the consumption preferential provided by the banking institution and the like. However, it is difficult to accurately evaluate the true contribution to the emission reduction effect, i.e., to accurately measure the low carbon behavior of the user.
Disclosure of Invention
In order to solve the technical problems, the application provides a method, a device, equipment and a medium for accounting a carbon account, wherein the carbon account not only displays target points, but also displays target low-carbon links corresponding to the target points, and the target low-carbon links can indicate that the low-carbon behaviors for obtaining the target points are target low-carbon behaviors, the data for completing the target low-carbon behaviors are low-carbon behavior data, and the emission reduction effect of real contribution is target carbon emission reduction, so that more accurate low-carbon behavior measurement is realized.
The embodiment of the application discloses the following technical scheme:
in one aspect, an embodiment of the present application provides a method for accounting a carbon account, where the method includes:
acquiring low-carbon behavior data corresponding to the target low-carbon behavior completed by a target user;
converting the low-carbon behavior data to obtain target carbon emission reduction corresponding to the target low-carbon behavior;
determining a target integral corresponding to the target carbon reduction amount according to the corresponding relation between the carbon reduction amount and the carbon account integral;
mapping the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount into a target low-carbon coupling corresponding to the target integral;
and displaying the target integral and the target low-carbon coupling by using the carbon account of the target user.
In one possible implementation manner, the obtaining the low carbon behavior data corresponding to the target low carbon behavior completed by the target user includes:
determining a plurality of transaction parties associated with the target low-carbon behavior;
acquiring the low-carbon behavior data corresponding to the target low-carbon behavior from a target block node in a target block chain; the target block node is a node corresponding to the transaction parties in the target block chain.
In one possible implementation manner, the obtaining the low-carbon behavior data corresponding to the target low-carbon behavior from a target block node in a target block chain includes:
acquiring user data of the target user and transaction data corresponding to the target low-carbon behavior of the target user from the target block node;
verifying the user data and the transaction data;
and if the user data and the transaction data are confirmed to pass the verification, determining the low-carbon behavior data according to the transaction data.
In one possible implementation manner, before the obtaining the low-carbon behavior data corresponding to the target low-carbon behavior completed by the target user, the method further includes:
performing anomaly detection on the low-carbon behavior data by utilizing a transaction detection intelligent contract corresponding to the target blockchain;
if the low-carbon behavior data are determined to be abnormal, generating early warning information; the early warning information is used for early warning the target low-carbon behavior;
and sending the early warning information to the transaction parties by utilizing the target block node.
In one possible implementation, the method further includes:
responding to the checking operation of the transaction parties on the early warning information, and synchronizing the checking result indicated by the checking operation to the target blockchain;
and calling the checking result from the target blockchain to recheck the target low-carbon behavior.
In a possible implementation manner, the converting the low carbon behavior data to obtain the target carbon emission reduction amount corresponding to the target low carbon behavior includes:
acquiring a carbon emission reduction factor corresponding to the target low-carbon behavior;
and converting the low-carbon behavior data according to the carbon emission reduction factor to obtain the target carbon emission reduction corresponding to the target low-carbon behavior.
In one possible implementation, before the displaying the target credit and the target low carbon link with the carbon account of the target user, the method further includes:
and updating the stored points of the carbon account of the target user according to the target points and the target low-carbon link.
On the other hand, the embodiment of the application provides a device for accounting a carbon account, which comprises an acquisition unit, a conversion unit, a determination unit, a mapping unit and a display unit:
the acquisition unit is used for acquiring low-carbon behavior data corresponding to the target low-carbon behavior completed by the target user;
the conversion unit is used for converting the low-carbon behavior data to obtain target carbon emission reduction corresponding to the target low-carbon behavior;
the determining unit is used for determining a target integral corresponding to the target carbon reduction amount according to the corresponding relation between the carbon reduction amount and the carbon account integral value;
the mapping unit is used for mapping the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount into target low-carbon links corresponding to the target integral;
and the display unit is used for displaying the target integral and the target low-carbon chain by using the carbon account of the target user.
In a possible implementation manner, the obtaining unit is further configured to:
determining a plurality of transaction parties associated with the target low-carbon behavior;
acquiring the low-carbon behavior data corresponding to the target low-carbon behavior from a target block node in a target block chain; the target block node is a node corresponding to the transaction parties in the target block chain.
In a possible implementation manner, the obtaining unit is further configured to:
acquiring user data of the target user and transaction data corresponding to the target low-carbon behavior of the target user from the target block node;
verifying the user data and the transaction data;
and if the user data and the transaction data are confirmed to pass the verification, determining the low-carbon behavior data according to the transaction data.
In one possible implementation manner, the device further includes a detection unit, an early warning unit, and a sending unit:
the detection unit is used for carrying out anomaly detection on the low-carbon behavior data by utilizing a transaction detection intelligent contract corresponding to the target blockchain;
the early warning unit is used for generating early warning information if the low-carbon behavior data are determined to be abnormal; the early warning information is used for early warning the target low-carbon behavior;
the sending unit is used for sending the early warning information to the transaction parties by utilizing the target block node.
In a possible implementation manner, the apparatus further includes a synchronization unit and a review unit:
the synchronization unit is used for responding to the checking operation of the transaction parties on the early warning information and synchronizing the checking result indicated by the checking operation to the target blockchain;
and the rechecking unit is used for calling the checking result from the target blockchain to recheck the target low-carbon behavior.
In a possible implementation, the conversion unit is further configured to:
acquiring a carbon emission reduction factor corresponding to the target low-carbon behavior;
and converting the low-carbon behavior data according to the carbon emission reduction factor to obtain the target carbon emission reduction corresponding to the target low-carbon behavior.
In a possible implementation manner, the apparatus further includes an updating unit:
and the updating unit is used for updating the integral stored in the carbon account of the target user according to the target integral and the target low-carbon link.
In yet another aspect, an embodiment of the present application provides a computer device including a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for accounting a carbon account according to the above aspect according to the instructions in the program code.
In yet another aspect, embodiments of the present application provide a computer-readable storage medium for storing a computer program for executing the method of accounting a carbon account described in the above aspect.
According to the technical scheme, the low-carbon behavior data corresponding to the target low-carbon behavior of the target user can be obtained, the low-carbon behavior data can be used for indicating carbon emission reduction data generated by the completion of the target low-carbon behavior, then the low-carbon behavior data are converted to obtain target carbon emission reduction corresponding to the target low-carbon behavior, the target carbon emission reduction can be used for indicating carbon emission reduction caused by the completion of the target low-carbon behavior, and the real contribution to the emission reduction effect can be represented. Meanwhile, according to the corresponding relation between the carbon emission reduction amount and the carbon account integral value, determining a target integral corresponding to the target carbon emission reduction amount, namely, the target integral can be an integral value obtained by completing emission reduction contribution of the target carbon emission reduction amount caused by the target low-carbon behavior. Based on this, the target low-carbon behavior completed by the target user is accounted for, so that the carbon account of the target user is accounted for later. Specifically, the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount can be mapped into a target low-carbon link corresponding to the target integral, and the target integral and the target low-carbon link are displayed by using a carbon account of a target user. Based on the method, the target points are displayed in the carbon account, the target low-carbon links corresponding to the target points are displayed, the target low-carbon links can indicate that the low-carbon behaviors for obtaining the target points are target low-carbon behaviors, the data for completing the target low-carbon behaviors are low-carbon behavior data, and the emission reduction effect of real contribution is target carbon emission reduction, so that more accurate low-carbon behavior measurement is realized.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a flow chart of a method for accounting a carbon account according to an embodiment of the present application;
fig. 2 is a block diagram of a device for accounting a carbon account according to an embodiment of the present application.
Detailed Description
In order to make the present application better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The method for accounting the carbon account provided by the embodiment of the application can be implemented through computer equipment, wherein the computer equipment can be terminal equipment or a server, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal equipment comprises, but is not limited to, mobile phones, computers, intelligent voice interaction equipment, intelligent household appliances, vehicle-mounted terminals and the like. The terminal device and the server may be directly or indirectly connected through wired or wireless communication, which is not limited in any way by the present application.
It should be noted that the method, the device, the equipment and the medium for accounting the carbon account provided by the application can be used in the field of big data or the field of finance. The foregoing is merely exemplary, and the application fields of the method, the device, the equipment and the medium for accounting the carbon account provided by the application are not limited.
The following examples are provided to illustrate the application:
fig. 1 is a flowchart of a method for accounting a carbon account according to an embodiment of the present application, taking a server as an example of the foregoing computer device, where the method includes S101-S105:
s101: and acquiring low-carbon behavior data corresponding to the target low-carbon behavior completed by the target user.
The target low-carbon behavior may refer to a low-carbon behavior completed by a target user, for example, in a new energy industry, the target low-carbon behavior may be purchasing a new energy vehicle, green traveling, energy-saving charging, and the like. The low carbon behavior data may be used to indicate carbon emission reduction data generated to complete a target low carbon behavior, for example, in the case of energy-saving charging, the low carbon behavior data may refer to a charging duration, etc. (only examples).
It should be noted that, the present application is not limited in any way as to how to obtain the low-carbon behavior data corresponding to the target low-carbon behavior of the target user. For ease of understanding, embodiments of the present application provide the following as examples:
in practical applications, the carbon account of the target user is usually opened by using the bank card of the target user, so that the management of the carbon account is managed by a banking institution. It will be appreciated that the low carbon behaviour at completion of the target is typically involving a plurality of transaction parties, wherein the banking institution is one of the transaction parties, primarily for funds payment. In order to realize accurate evaluation measurement of emission reduction efficiency of low-carbon behaviors, the embodiment of the application provides a block chain technology-based accounting method, and particularly, a plurality of transaction parties participating in the low-carbon behaviors are taken as block chain members to jointly build a target block chain, a plurality of block nodes can be included in the target block chain, the plurality of block nodes can correspond to the plurality of transaction parties, and based on the block nodes, the plurality of transaction parties associated with the low-carbon behaviors are opened so as to facilitate improving the accuracy of low-carbon behavior data, thereby improving the accuracy of accounting. The blockchain technology can be a distributed-based decentralized account book, has the characteristics of distributed consistency, non-tamper property, automatic execution, safety, reliability and the like, and is a network infrastructure for building trust. In practical applications, the architecture of the target blockchain may be designed according to specific business logic, and specifically, a hierarchical blockchain architecture model may be designed to manage carbon accounts. The banking institution is used as a construction party and a point issuer of the carbon account, and other transaction parties can be used as participants.
Correspondingly, for the target low-carbon behavior, a plurality of transaction parties associated with the target low-carbon behavior can be first determined, and then low-carbon behavior data corresponding to the target low-carbon behavior is obtained from target block nodes in a target block chain, wherein the target block nodes are nodes corresponding to the transaction parties in the target block chain. Based on the method, the low-carbon behavior data corresponding to the target low-carbon behaviors can be acquired based on the blockchain technology. For example, taking a payment scenario as an example, the target low-carbon behavior may be new energy vehicle purchase and electric charge recharging, the plurality of transaction parties may include a banking institution, a new energy vehicle enterprise and a power grid enterprise, the target block node may correspond to the three transaction parties, and the target blockchain may be a alliance chain that is jointly created by the banking institution, the new energy vehicle enterprise and the power grid enterprise. Accordingly, the low-carbon behavior data may refer to a model of a purchased new energy vehicle (different types of new energy vehicles can produce different emission reduction effects), how much the electric charge is charged, and the like.
It will be appreciated that in order to improve the reliability of the low carbon behavioural data, in practical applications, the authenticity of the data may also be verified. Specifically, user data of the target user and transaction data corresponding to the target low-carbon behavior of the target user may be obtained from the target block node, where the user data may refer to basic data of the target user, and the transaction data may indicate a specific transaction condition of the target low-carbon behavior. Typically, the user data may be uploaded by the banking institution into its corresponding block node and the transaction data may be uploaded by the transaction party conducting the targeted low-carbon action. For example, taking the example that the target low-carbon behavior may be new energy vehicle purchase and electric charge recharging, the transaction data may include a new energy vehicle purchase record (which may be used to indicate a purchased vehicle type) uploaded by the new energy vehicle enterprise into its corresponding block node, and an electric charge recharging record uploaded by the grid enterprise into its corresponding block node. The user data and transaction data may then be verified. If the user data and the transaction data are confirmed to pass the verification, the data are real and effective, so that the low-carbon behavior data can be confirmed according to the transaction data. Otherwise, if the verification is not passed, the data is in doubt, and may not be the data generated by the real low-carbon behavior, so that the subsequent processing such as early warning can be performed. Based on the method, the reliability of the low-carbon behavior data can be improved by verifying the authenticity of the data, and the verification accuracy is improved.
In practical applications, when implemented based on the blockchain technique, the process of verifying data may also be considered as a process of verifying information on a chain. Specifically, in the on-chain information verification scenario, multiple transaction parties join the target blockchain in the form of blocknodes. The message intercommunication among the block nodes can generally encrypt and decrypt the data on the chain by utilizing the public key and the private key generated by the asymmetric encryption algorithm so as to determine the security sharing of the information data of each transaction party. When a target user handles green fused service authentication (i.e. accounting to obtain points) aiming at a target low-carbon behavior, a banking institution can access and call information data of other related transaction parties on a chain through a held public key and a private key, and can call the user data and the transaction data in response to an access request of the banking institution, particularly, the information can be client identity information of a new energy automobile enterprise, new energy automobile purchasing record and face recognition information, the electric network enterprise provides contrast such as charging use information, client reserved mobile phone number real name information and the like, the authenticity of the information is checked, green behavior identification and authentication are efficiently completed, and the working efficiency of accounting and client due investigation is improved.
Accordingly, when implemented based on the blockchain technology, the transaction may also be automatically completed using the blockchain smart contract technology, that is, the transaction process of the target low-carbon behavior may be automatically completed using the smart contract technology. Similarly, anomaly detection may also be accomplished automatically using smart contract technology. In practical application, the banking institution can jointly formulate contract rules in advance according to judgment standards of suspicious and abnormal transactions generated by histories to generate transaction detection intelligent contracts, and can also utilize the transaction detection intelligent contracts corresponding to target blockchain to perform abnormal detection on the low-carbon behavior data before obtaining the low-carbon behavior data corresponding to target low-carbon behaviors of target users. If the low-carbon behavior data is determined to be abnormal, the abnormal transaction is indicated, and early warning information can be generated at the moment and can be used for early warning the target low-carbon behavior. Correspondingly, the target block node can be utilized to send early warning information to a plurality of transaction parties. Based on the method, the abnormality detection is automatically completed, the efficiency is higher, and early warning information can be timely sent to a plurality of transaction parties, so that the plurality of transaction parties associated with the target transaction behavior can timely know the abnormality.
In practical application, after receiving the early warning message, the transaction parties can check to recheck the abnormal situation. Specifically, in response to the checking operation of the early warning information by the transaction parties, the checking result indicated by the checking operation can be synchronized to the target blockchain. Based on the above, for any transaction party, the checking condition of other transaction parties can be known in time. Then, the checking result can be called from the target blockchain to recheck the target low-carbon behavior. Based on the method, the abnormal condition can be rechecked, and timely and synchronous sharing of the checking result can be realized, so that the abnormal low-carbon behavior, data and the like can be tracked and rechecked efficiently.
In practical application, feature screening can be performed based on the result of anomaly detection to determine low-carbon behaviors, data and the like of multiple abnormal conditions, and meanwhile, the accuracy of anomaly detection can be improved by combining depth features. The depth feature may be determined according to a specific authorization condition, for example, taking the purchase of a new energy vehicle and recharging of the electric charge as an example, if the vehicle positioning information is authorized, the vehicle positioning information may be determined as the depth feature when the recharging of the electric charge is abnormally detected. If the position information of the vehicle electric charge is abnormal (such as that a green charging pile does not exist) during charging, the electric charge charging declared at the time is considered not to belong to low-carbon behavior, and early warning and the like can be performed for reporting the abnormality. Based on this, the effectiveness of risk monitoring is improved.
S102: and converting the low-carbon behavior data to obtain target carbon emission reduction corresponding to the target low-carbon behavior.
After the low-carbon behavior data corresponding to the target low-carbon behavior is obtained, the low-carbon behavior data can be converted to obtain the target carbon emission reduction amount corresponding to the target low-carbon behavior. The target carbon emission reduction amount can indicate carbon emission reduction caused by completing target low-carbon behaviors, and the real contribution to the emission reduction effect can be represented.
It should be noted that the present application is not limited in any way as to how to convert the low carbon behavior data to obtain the target carbon emission reduction. For ease of understanding, embodiments of the present application provide the following as examples:
in practical application, the emission reduction effects generated by different low-carbon behaviors are different, and in order to realize accurate measurement of the emission reduction effect of any low-carbon behavior, measurement can be performed by using carbon emission reduction factors corresponding to the low-carbon behaviors. For the target low-carbon behavior, in implementation, the carbon emission reduction factor corresponding to the target low-carbon behavior can be obtained first, and the carbon emission reduction factor can be an index for measuring the energy consumption and the emission reduction effect brought by the target low-carbon behavior. And then, converting the low-carbon behavior data according to the carbon emission reduction factor to obtain target carbon emission reduction corresponding to the target low-carbon behavior. Based on the calculation, calculation of target carbon emission reduction is completed, and the adoption of the carbon emission reduction factor is beneficial to improving the accuracy and consistency of calculation. For example, taking the foregoing electric charge recharging as an example, the relevant electric power environmental factor may be collected as the carbon emission reduction factor corresponding to the electric charge recharging. When the low-carbon behavior data is converted according to the carbon emission reduction factors, the carbon emission cost accounting calculation can be determined, and the conversion is completed.
In order to facilitate understanding, the green industry chain view angle is used for splicing payment characteristics, centrality characteristics and the like to serve as carbon account characteristics, wherein the centrality characteristics can represent the condition of low-carbon behaviors necessarily involved after purchasing a new energy vehicle. Taking payment characteristics as an example, the method can judge the target carbon emission reduction amount corresponding to the target low-carbon behavior of charging the electric charge in the current green charging mode by using the electric environmental factor according to the payment amount, payment time and other types of electric charge and combining the vehicle type information of the new energy vehicle bound by the new energy vehicle enterprise, and complete conversion.
S103: and determining a target integral corresponding to the target carbon reduction amount according to the corresponding relation between the carbon reduction amount and the carbon account integral.
After determining the target carbon emission reduction amount, determining a target integral corresponding to the target carbon emission reduction amount according to a corresponding relation between the carbon emission reduction amount and the carbon account integral value, wherein the target integral refers to an integral value obtained by completing emission reduction contribution of the target carbon emission reduction amount caused by the target low-carbon behavior. Based on this, the target low-carbon behavior completed by the target user is accounted for, so that the carbon account of the target user is accounted for later.
S104: and mapping the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount into target low-carbon coupling corresponding to the target integral.
S105: and displaying the target integral and the target low-carbon chain connection by using the carbon account of the target user.
When the carbon account of the target user is calculated, the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount can be mapped into a target low-carbon link corresponding to the target point, and the target point and the target low-carbon link are displayed by utilizing the carbon account of the target user. Based on the method, the digital display of the carbon account and the digital storage of the points can be realized, specifically, the target points are displayed in the carbon account, the target low-carbon links corresponding to the target points are displayed, the target low-carbon links can indicate that the low-carbon behaviors for obtaining the target points are target low-carbon behaviors, the data for completing the target low-carbon behaviors are low-carbon behavior data, and the emission reduction effect of real contribution is target carbon emission reduction, so that more accurate low-carbon behavior measurement is realized.
In practical application, the carbon account can be authenticated, opened and managed by a banking institution based on a blockchain technology, and the low-carbon behavior reflected in the payment scene can be recorded in the carbon account so as to promote low-carbon life. In order to facilitate the check, the carbon account can be checked by a mobile phone banking reference program corresponding to a banking institution opening the carbon account, specifically, the integral in the carbon account and the low carbon chain corresponding to the integral can be checked, so that what the low carbon behaviors corresponding to the integral are obtained, what the low carbon behavior data are and what the emission reduction contribution is brought are traced. Based on the method, the points in the carbon account have transaction and commemorative values and can participate in preferential or deduction of fees. The low-carbon link of the integral can also be called as the data content of the integral, and the browsing of the digital content of the integral is beneficial to improving the user experience and the commemorative value, so that green consumption and low-carbon life are advocated, and energy conservation, emission reduction and sustainable development are promoted.
It should be noted that, when the carbon account is digitally displayed, the display form may adopt rich digital driving, such as characters, pictures, images, etc., and specifically, the characters, pictures, images, etc. may be used to display the integral and the low carbon chain of the integral.
In practical application, for any target low-carbon behavior, after accounting is completed, the carbon account of the target user can be updated. In the implementation, the stored points of the carbon account of the target user can be updated according to the target points and the target low-carbon chain connection. Based on the method, the carbon account of the target user can be updated in time.
It should be noted that when the present application is implemented based on the blockchain technology, the credits stored in the carbon account and the low carbon chain link up-link of the credits may also be stored, so as to realize on-chain evidence and analysis of the carbon account. The data stored in the target blockchain mainly may include block data, transaction data, log data, contract data, and the like, where the block data may be data uploaded by the transaction party, the log data may be data used for recording updating of a carbon account, and the contract data may be data generated by corresponding to the intelligent contract. For the data taking the carbon account as the core, the transaction data of the low-carbon behaviors can be used as the bottom data support, the graph structure data construction is carried out on the transaction data, the contract data and the log data in the Ethernet, and the payment graph, the contract call graph, the contract creation graph and the like are built, so that the follow-up analysis of which type the low-carbon behaviors with higher frequency are, the verification and the like are carried out on the low-carbon behaviors, the situation that the low-carbon behaviors are forged for obtaining the points is prevented, and the effectiveness of the carbon account accounting and the risk monitoring is improved. The ethernet may be an open-source public blockchain platform with intelligent contract function, and is used for constructing the target blockchain.
According to the technical scheme, the low-carbon behavior data corresponding to the target low-carbon behavior of the target user can be obtained, the low-carbon behavior data can be used for indicating carbon emission reduction data generated by the completion of the target low-carbon behavior, then the low-carbon behavior data are converted to obtain target carbon emission reduction corresponding to the target low-carbon behavior, the target carbon emission reduction can be used for indicating carbon emission reduction caused by the completion of the target low-carbon behavior, and the real contribution to the emission reduction effect can be represented. Meanwhile, according to the corresponding relation between the carbon emission reduction amount and the carbon account integral value, determining a target integral corresponding to the target carbon emission reduction amount, namely, the target integral can be an integral value obtained by completing emission reduction contribution of the target carbon emission reduction amount caused by the target low-carbon behavior. Based on this, the target low-carbon behavior completed by the target user is accounted for, so that the carbon account of the target user is accounted for later. Specifically, the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount can be mapped into a target low-carbon link corresponding to the target integral, and the target integral and the target low-carbon link are displayed by using a carbon account of a target user. Based on the method, the target points are displayed in the carbon account, the target low-carbon links corresponding to the target points are displayed, the target low-carbon links can indicate that the low-carbon behaviors for obtaining the target points are target low-carbon behaviors, the data for completing the target low-carbon behaviors are low-carbon behavior data, and the emission reduction effect of real contribution is target carbon emission reduction, so that more accurate low-carbon behavior measurement is realized.
Fig. 2 is a block diagram of a device for accounting a carbon account according to an embodiment of the present application, where the device includes an obtaining unit 201, a converting unit 202, a determining unit 203, a mapping unit 204, and a displaying unit 205:
the acquiring unit 201 is configured to acquire low-carbon behavior data corresponding to a target low-carbon behavior completed by a target user;
the conversion unit 202 is configured to convert the low-carbon behavior data to obtain a target carbon emission reduction amount corresponding to the target low-carbon behavior;
the determining unit 203 is configured to determine a target integral corresponding to the target carbon reduction amount according to a correspondence between the carbon reduction amount and a carbon account integral;
the mapping unit 204 is configured to map the target low carbon behavior, the low carbon behavior data, and the target carbon emission reduction amount to a target low carbon coupling corresponding to the target integral;
the display unit 205 is configured to display the target point and the target low carbon link by using the carbon account of the target user.
In a possible implementation manner, the obtaining unit is further configured to:
determining a plurality of transaction parties associated with the target low-carbon behavior;
acquiring the low-carbon behavior data corresponding to the target low-carbon behavior from a target block node in a target block chain; the target block node is a node corresponding to the transaction parties in the target block chain.
In a possible implementation manner, the obtaining unit is further configured to:
acquiring user data of the target user and transaction data corresponding to the target low-carbon behavior of the target user from the target block node;
verifying the user data and the transaction data;
and if the user data and the transaction data are confirmed to pass the verification, determining the low-carbon behavior data according to the transaction data.
In one possible implementation manner, the device further includes a detection unit, an early warning unit, and a sending unit:
the detection unit is used for carrying out anomaly detection on the low-carbon behavior data by utilizing a transaction detection intelligent contract corresponding to the target blockchain;
the early warning unit is used for generating early warning information if the low-carbon behavior data are determined to be abnormal; the early warning information is used for early warning the target low-carbon behavior;
the sending unit is used for sending the early warning information to the transaction parties by utilizing the target block node.
In a possible implementation manner, the apparatus further includes a synchronization unit and a review unit:
the synchronization unit is used for responding to the checking operation of the transaction parties on the early warning information and synchronizing the checking result indicated by the checking operation to the target blockchain;
and the rechecking unit is used for calling the checking result from the target blockchain to recheck the target low-carbon behavior.
In a possible implementation, the conversion unit is further configured to:
acquiring a carbon emission reduction factor corresponding to the target low-carbon behavior;
and converting the low-carbon behavior data according to the carbon emission reduction factor to obtain the target carbon emission reduction corresponding to the target low-carbon behavior.
In a possible implementation manner, the apparatus further includes an updating unit:
and the updating unit is used for updating the integral stored in the carbon account of the target user according to the target integral and the target low-carbon link.
According to the technical scheme, the low-carbon behavior data corresponding to the target low-carbon behavior of the target user can be obtained, the low-carbon behavior data can be used for indicating carbon emission reduction data generated by the completion of the target low-carbon behavior, then the low-carbon behavior data are converted to obtain target carbon emission reduction corresponding to the target low-carbon behavior, the target carbon emission reduction can be used for indicating carbon emission reduction caused by the completion of the target low-carbon behavior, and the real contribution to the emission reduction effect can be represented. Meanwhile, according to the corresponding relation between the carbon emission reduction amount and the carbon account integral value, determining a target integral corresponding to the target carbon emission reduction amount, namely, the target integral can be an integral value obtained by completing emission reduction contribution of the target carbon emission reduction amount caused by the target low-carbon behavior. Based on this, the target low-carbon behavior completed by the target user is accounted for, so that the carbon account of the target user is accounted for later. Specifically, the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount can be mapped into a target low-carbon link corresponding to the target integral, and the target integral and the target low-carbon link are displayed by using a carbon account of a target user. Based on the method, the target points are displayed in the carbon account, the target low-carbon links corresponding to the target points are displayed, the target low-carbon links can indicate that the low-carbon behaviors for obtaining the target points are target low-carbon behaviors, the data for completing the target low-carbon behaviors are low-carbon behavior data, and the emission reduction effect of real contribution is target carbon emission reduction, so that more accurate low-carbon behavior measurement is realized.
In yet another aspect, an embodiment of the present application provides a computer device including a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for accounting the carbon account provided in the foregoing embodiment according to instructions in the program code.
The computer device may comprise a terminal device or a server, in which the aforementioned accounting means of the carbon account may be configured.
In still another aspect, an embodiment of the present application further provides a storage medium storing a computer program for executing the method for accounting a carbon account provided in the above embodiment.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, where the above program may be stored in a computer readable storage medium, and when the program is executed, the program performs steps including the above method embodiments; and the aforementioned storage medium may be at least one of the following media: read-only Memory (ROM), RAM, magnetic disk or optical disk, etc.
For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments. The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present application without undue burden.
It should be noted that in this document, relational terms such as "first" and "second", and the like, if any, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing describes in detail a method, apparatus, device and medium for accounting a carbon account provided by the embodiments of the present application, and specific examples are applied herein to illustrate the principles and embodiments of the present application, where the foregoing examples are only used to help understand the method of the present application. Also, as will be apparent to one of ordinary skill in the art, there are variations in the embodiments and the scope of the application of the method according to the present application.
In view of the foregoing, the disclosure should not be construed as limiting the application, and any changes or substitutions that would be easily recognized by those skilled in the art within the scope of the present disclosure are intended to be included in the scope of the present disclosure. Further combinations of the present application may be made to provide further implementations based on the implementations provided in the above aspects.
Claims (10)
1. A method of accounting for a carbon account, the method comprising:
acquiring low-carbon behavior data corresponding to the target low-carbon behavior completed by a target user;
converting the low-carbon behavior data to obtain target carbon emission reduction corresponding to the target low-carbon behavior;
determining a target integral corresponding to the target carbon reduction amount according to the corresponding relation between the carbon reduction amount and the carbon account integral;
mapping the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount into a target low-carbon coupling corresponding to the target integral;
and displaying the target integral and the target low-carbon coupling by using the carbon account of the target user.
2. The method of claim 1, wherein the obtaining the low carbon behavior data corresponding to the target low carbon behavior completed by the target user comprises:
determining a plurality of transaction parties associated with the target low-carbon behavior;
acquiring the low-carbon behavior data corresponding to the target low-carbon behavior from a target block node in a target block chain; the target block node is a node corresponding to the transaction parties in the target block chain.
3. The method of claim 2, wherein the obtaining the low carbon behavior data corresponding to the target low carbon behavior from a target block node in a target blockchain comprises:
acquiring user data of the target user and transaction data corresponding to the target low-carbon behavior of the target user from the target block node;
verifying the user data and the transaction data;
and if the user data and the transaction data are confirmed to pass the verification, determining the low-carbon behavior data according to the transaction data.
4. The method of claim 2, wherein prior to the obtaining the low carbon behavior data corresponding to the target low carbon behavior completed by the target user, the method further comprises:
performing anomaly detection on the low-carbon behavior data by utilizing a transaction detection intelligent contract corresponding to the target blockchain;
if the low-carbon behavior data are determined to be abnormal, generating early warning information; the early warning information is used for early warning the target low-carbon behavior;
and sending the early warning information to the transaction parties by utilizing the target block node.
5. The method according to claim 4, wherein the method further comprises:
responding to the checking operation of the transaction parties on the early warning information, and synchronizing the checking result indicated by the checking operation to the target blockchain;
and calling the checking result from the target blockchain to recheck the target low-carbon behavior.
6. The method according to any one of claims 1-5, wherein the converting the low carbon behavior data to obtain a target carbon emission reduction corresponding to the target low carbon behavior comprises:
acquiring a carbon emission reduction factor corresponding to the target low-carbon behavior;
and converting the low-carbon behavior data according to the carbon emission reduction factor to obtain the target carbon emission reduction corresponding to the target low-carbon behavior.
7. The method of any one of claims 1-5, wherein prior to the displaying the target credit and the target low carbon bond with the carbon account of the target user, the method further comprises:
and updating the stored points of the carbon account of the target user according to the target points and the target low-carbon link.
8. A device for accounting a carbon account, wherein the device comprises an acquisition unit, a conversion unit, a determination unit, a mapping unit and a display unit:
the acquisition unit is used for acquiring low-carbon behavior data corresponding to the target low-carbon behavior completed by the target user;
the conversion unit is used for converting the low-carbon behavior data to obtain target carbon emission reduction corresponding to the target low-carbon behavior;
the determining unit is used for determining a target integral corresponding to the target carbon reduction amount according to the corresponding relation between the carbon reduction amount and the carbon account integral value;
the mapping unit is used for mapping the target low-carbon behavior, the low-carbon behavior data and the target carbon emission reduction amount into target low-carbon links corresponding to the target integral;
and the display unit is used for displaying the target integral and the target low-carbon chain by using the carbon account of the target user.
9. A computer device, the computer device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the method of any of claims 1-7 according to instructions in the program code.
10. A computer readable storage medium, characterized in that the computer readable storage medium is for storing a computer program for executing the method of any one of claims 1-7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117391861A (en) * | 2023-12-11 | 2024-01-12 | 广州市交通规划研究院有限公司 | Low-carbon point accounting transaction method and system based on cloud platform |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117391861A (en) * | 2023-12-11 | 2024-01-12 | 广州市交通规划研究院有限公司 | Low-carbon point accounting transaction method and system based on cloud platform |
| CN117391861B (en) * | 2023-12-11 | 2024-06-11 | 广州市交通规划研究院有限公司 | Low-carbon point accounting transaction method and system based on cloud platform |
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