CN114417258A - Carbon emission reduction accounting method and device - Google Patents
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Abstract
The disclosure relates to the technical field of carbon emission reduction, and provides a carbon emission reduction accounting method and device. The method comprises the following steps: acquiring identification information of an object with carbon emission reduction behavior and carbon emission reduction behavior data; determining a target preset calculation model based on the identification information; and calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the target preset calculation model, and encrypting the carbon emission reduction data. The present disclosure improves the efficiency of accounting for carbon emission reduction and the security of carbon emission reduction data.
Description
Technical Field
The disclosure relates to the technical field of carbon emission reduction, in particular to a carbon emission reduction accounting method and device.
Background
The excessive emission of greenhouse gases is a main cause of global climate change, and the reduction of the emission of greenhouse gases can slow down the greenhouse effect and slow down the pace of climate warming, which has great significance for the survival of human beings. Aiming at specific production activities, the carbon emission reduction is an important index for evaluating ecological civilization construction and carbon neutralization degree.
In the prior art, the carbon emission reduction amount accounting is manual accounting, the accounting process is complicated, the accounting period is long, and the carbon emission reduction amount accounting efficiency is poor.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a method and an apparatus for carbon emission reduction amount accounting, an electronic device, and a computer-readable storage medium, so as to solve the problem in the prior art that when the carbon emission reduction amount is manually accounted, the accounting process is complicated, the accounting period is long, and the accounting efficiency of the carbon emission reduction amount is poor.
In a first aspect of the disclosed embodiments, a carbon emission reduction accounting method is provided, including: acquiring identification information of an object with carbon emission reduction behavior and carbon emission reduction behavior data; determining a target preset calculation model based on the identification information; and calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the target preset calculation model, and encrypting the carbon emission reduction data.
In a second aspect of the disclosed embodiments, there is provided a carbon reduction amount accounting apparatus including: an acquisition module configured to acquire identification information of an object having a carbon emission reduction behavior and carbon emission reduction behavior data; a determination module configured to determine a target preset calculation model based on the identification information; the calculation module is configured to calculate carbon emission reduction data corresponding to the carbon emission reduction behavior data based on a target preset calculation model, and encrypt the carbon emission reduction data.
In a third aspect of the embodiments of the present disclosure, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the above-mentioned method.
Compared with the prior art, the embodiment of the disclosure has the following beneficial effects: the embodiment of the disclosure can perform quick accounting on carbon emission reduction capacity based on carbon emission reduction behavior data, so that the accounting efficiency of the carbon emission reduction capacity is improved, and the safety of the carbon emission reduction capacity data is improved by encrypting the carbon emission reduction capacity data.
Drawings
To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
FIG. 1 is a scenario diagram of an application scenario of an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart diagram of a carbon reduction accounting method provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a carbon reduction accounting device provided by an embodiment of the present disclosure;
fig. 4 is a schematic diagram of an electronic device provided by an embodiment of the disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
A carbon reduction amount accounting method and apparatus according to an embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a scene schematic diagram of an application scenario of an embodiment of the present disclosure. The application scenario may include an object 1 with carbon emission reduction behavior, an internet of things device 2, a server 3, and a network 4.
The object 1 with the carbon emission reduction behavior refers to equipment for generating the carbon emission reduction behavior, and comprises multiple types of objects, and according to different application scenes, the object 1 with the carbon emission reduction behavior can be energy-saving and carbon-reducing equipment such as transportation equipment (such as new energy vehicles), energy-saving household appliances, new energy power generation facilities (such as photovoltaic power generation facilities), recovery energy-saving devices or solar water heaters and the like.
The internet of things equipment 2 is used for collecting carbon emission reduction behavior data generated by the object 1 with the carbon emission reduction behavior, and can be equipment for completing data metering, such as an electric meter, a water meter, a gas meter, a heat meter, a mobile APP, a wireless radio frequency or an intelligent sensor
The server 3 may be a server providing various services, for example, a background server receiving data sent by the internet of things device 2 that establishes a communication connection with the server, and the background server may receive, analyze, and the like the data sent by the internet of things device 2 and generate a processing result. The server 3 may be one server, may also be a server cluster composed of a plurality of servers, or may also be a cloud computing service center, which is not limited in this disclosure.
The server 3 may be hardware or software. When the server 3 is hardware, it may be various electronic devices that provide various services to the internet of things device 2. When the server 3 is software, it may be multiple pieces of software or software modules that provide various services for the internet of things device 2, or may be a single piece of software or software module that provides various services for the internet of things device 2, which is not limited in this disclosure.
The network 4 may be a wired network connected by a coaxial cable, a twisted pair and an optical fiber, may also be a wireless network that can implement interconnection of various Communication devices without wiring, for example, Bluetooth (Bluetooth), Near Field Communication (NFC), Infrared (Infrared), 2G wireless network, 3G wireless network, 4G wireless network, or 5G wireless network, and may also be a narrowband internet of things, for example, NB-IoT or LoRaWAN, which is not limited in this disclosure.
The object 1 having the carbon emission reduction behavior may establish a communication connection with the server 3 via the network 4 through the internet of things device 2 to receive or transmit information and the like. Specifically, the internet of things device 2 acquires identification information and carbon emission reduction behavior data of the object 1 with carbon emission reduction behavior, and transmits the identification information and the carbon emission reduction behavior data of the object 1 with carbon emission reduction behavior to the server 3 through the network 4; the server 3 acquires identification information of the object 1 with the carbon emission reduction behavior and carbon emission reduction behavior data corresponding to the object 1 with the carbon emission reduction behavior; the server 3 determines a target preset calculation model based on the identification information, calculates carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the target preset calculation model, and then encrypts the carbon emission reduction data, so that the carbon emission reduction can be calculated in real time, and the calculation efficiency and the safety of the carbon emission reduction data are improved.
It should be noted that specific types, numbers, and combinations of the object 1 with the carbon emission reduction behavior, the internet of things device 2, the server 3, and the network 4 may be adjusted according to actual requirements of an application scenario, which is not limited in the embodiment of the present disclosure.
Fig. 2 is a schematic flow chart of a carbon emission reduction accounting method according to an embodiment of the present disclosure. The carbon reduction amount accounting method of fig. 2 may be performed by the server of fig. 1. As shown in fig. 2, the carbon reduction amount accounting method includes:
s201, acquiring identification information of an object with carbon emission reduction behaviors and carbon emission reduction behavior data;
s202, determining a target preset calculation model based on the identification information;
s203, based on the target preset calculation model, calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data, and encrypting the carbon emission reduction data.
Specifically, taking a server as an example, the server acquires identification information of an object having a carbon emission reduction behavior and carbon emission reduction behavior data corresponding to the object having the carbon emission reduction behavior, and determines a target preset calculation model based on the identification information of the object having the carbon emission reduction behavior; and the server converts the carbon emission reduction behavior data into carbon emission reduction data based on a target preset calculation model, and encrypts the carbon emission reduction data in a hardware or software encryption mode.
Here, acquiring the identification information and the carbon emission reduction behavior data of the object having the carbon emission reduction behavior may include, but is not limited to, acquiring the identification information and the carbon emission reduction behavior data of the object having the carbon emission reduction behavior in real time or at intervals (e.g., at intervals of 10 minutes, 20 minutes, or 2 hours, etc.).
The carbon emission reduction behavior may include a new energy power generation behavior (e.g., a photovoltaic power generation behavior that directly converts solar radiation energy into electric energy using a photovoltaic effect of a solar cell semiconductor material), a new energy use behavior (e.g., a behavior that uses the electric energy of photovoltaic power generation as a power consumption source), an electrical appliance energy saving behavior (e.g., a behavior that uses high energy-efficient electrical appliances), a low carbon green travel behavior (e.g., a behavior that does not consume or consumes low conventional energy such as walking, bicycle travel, bus travel, subway travel, and the like), a low carbon green consumption behavior (e.g., an electronic payment behavior), and the like.
The identification information may be an identification corresponding to an object having carbon emission reduction behavior, and the identification may be, for example, a model number of the photovoltaic power generation apparatus, a frame number of the transportation apparatus, or a combination of the frame number and the engine number of the transportation apparatus.
The carbon emission reduction behavior data comprises source data of the carbon emission reduction behavior (which can be the source data of the carbon dioxide emission reduction behavior), the source data of the carbon emission reduction behavior is associated with carbon emission reduction amount of the carbon emission reduction behavior, and the source data of the carbon emission reduction behavior can directly generate carbon emission reduction.
The target preset calculation model is used for converting the carbon emission reduction behavior data into carbon emission reduction data. Different objects generate different carbon emission reduction behaviors, and the calculation relationship of carbon emission reduction data is different, so that the corresponding target preset calculation model can be matched according to different identification information of the object with the carbon emission reduction behaviors.
Encryption is the change of original information data by a special algorithm, so that even if an unauthorized user obtains encrypted information, the content of the information cannot be known because the unauthorized user does not know the decryption method.
The carbon emission reduction may be a reduction in carbon dioxide emissions.
According to the technical scheme provided by the embodiment of the disclosure, the carbon emission reduction amount can be accounted in real time based on the carbon emission reduction behavior data, the accounting efficiency of the carbon emission reduction amount is improved, and the safety of the carbon emission reduction amount data is improved by encrypting the carbon emission reduction amount data.
In some embodiments, determining the target pre-set computational model based on the identification information includes: determining keyword information of an object having carbon emission reduction behavior based on the identification information; and determining a candidate preset calculation model corresponding to the keyword information in the at least one candidate preset calculation model as a target preset calculation model based on the keyword information.
Specifically, the server judges whether the identification information belongs to a preset identification information set based on the identification information, wherein the preset identification information set is an object (such as a new energy power generation facility of a specific model and a recycling energy-saving device) which is checked and verified in advance by a third party authority, and each preset identification information set corresponds to at least one keyword information; when the identification information is determined to belong to a preset identification information set, determining keyword information corresponding to the identification information based on the keyword information corresponding to the preset identification information set, so as to determine the keyword information of the object with the carbon emission reduction behavior, for example, the keyword information corresponding to the preset identification information set is photovoltaic power generation equipment, and then the keyword information of the object with the carbon emission reduction behavior is also photovoltaic power generation equipment; the server may pre-store correspondence between various candidate preset calculation models and keyword information, each candidate preset calculation model corresponds to at least one keyword information, and the server determines, according to the correspondence and the keyword information, a candidate preset calculation model matched with an object having a carbon emission reduction behavior as a target preset calculation model, that is, determines, of the at least one candidate preset calculation model, a candidate preset calculation model corresponding to the keyword information as the target preset calculation model.
Here, the keyword information may be an object type having a carbon emission reduction behavior, for example, for a new energy power generation facility, the keyword information may be a new energy power generation facility type (e.g., a photovoltaic power generation facility), for an energy-saving household appliance, the keyword information may be an energy-saving household appliance type (e.g., an air conditioner, a washing machine, a refrigerator, or the like), or may be a combination of the energy-saving household appliance type (e.g., the air conditioner, the washing machine, the refrigerator, or the like) and an operation mode (a standard mode, a fast mode, a strong washing mode, or the like of the washing machine), and for a transportation device, the keyword information may be a Hybrid Electric Vehicle (HEV), a pure electric vehicle (BEV, including a solar vehicle), a fuel cell electric vehicle, or the like.
For example, in the case where the keyword information of the object having the carbon emission reduction behavior is a new energy generation facility type (e.g., a photovoltaic generation facility), a candidate preset calculation model corresponding to the new energy generation facility type (e.g., the photovoltaic generation facility) of the object having the carbon emission reduction behavior may be selected from the candidate preset calculation models as the target preset calculation model.
The candidate preset calculation model may be a calculation rule of carbon emission reduction amount stored in advance by the server, for example, the calculation rule may be a calculation rule of carbon emission reduction amount of renewable energy sources (for example, wind power generation, photovoltaic power generation, and the like) in CDM (clean development mechanism) formulated by unfcc in the united nations, and may also be a calculation rule of carbon emission reduction amount approved by a specific country and a local carbon market.
Of course, those skilled in the art will appreciate that the settings of the keyword information and the candidate preset calculation model may be different depending on the implementation complexity of the server or the application scenario.
In some embodiments, calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the target preset calculation model includes: determining a carbon emission baseline corresponding to the carbon emission reduction behavior data in a carbon emission reduction behavior methodology based on a target preset calculation model; and calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the carbon emission baseline and the carbon emission reduction behavior data.
Specifically, the server determines a carbon emission baseline corresponding to the carbon emission reduction behavior data in the carbon emission reduction behavior methodology and a carbon emission corresponding to the carbon emission reduction behavior data according to the carbon emission reduction behavior data and the target preset calculation model, so as to determine the carbon emission reduction data corresponding to the carbon emission reduction behavior data according to the carbon emission baseline and the carbon emission amount (for example, the carbon emission baseline is subtracted by the carbon emission amount to obtain the carbon emission reduction data corresponding to the carbon emission reduction behavior data), wherein the carbon emission baseline is generated according to a predefined emission standard, and each candidate preset calculation model corresponds to one carbon emission baseline.
Here, the carbon emission amount may be obtained by the server based on a preset emission relationship corresponding to keyword information of an object having a carbon emission reduction behavior.
In some embodiments, encrypting the carbon emission reduction data comprises: classifying the carbon emission reduction data according to different carbon emission reduction behavior data sources corresponding to the carbon emission reduction data, and setting different data labels for different types of carbon emission reduction data; and converting the classified carbon emission reduction data into a carbon emission reduction data stream consisting of the carbon emission reduction data and a data label, and encrypting the carbon emission reduction data.
Illustratively, the carbon emission reduction data is classified according to different carbon emission reduction behavior data sources corresponding to the carbon emission reduction data, for the case that the carbon emission reduction behavior data source is a photovoltaic power generation facility, a data label corresponding to the carbon emission reduction data of the photovoltaic power generation facility is photovoltaic power generation, for the case that the carbon emission reduction behavior data source is a pure electric vehicle, a data label corresponding to the carbon emission reduction data of the pure electric vehicle is a pure electric vehicle; and converting the classified carbon emission reduction data into at least one carbon emission reduction data stream consisting of the carbon emission reduction data and a data label, and encrypting the carbon emission reduction data.
According to the technical scheme provided by the embodiment of the disclosure, the carbon emission reduction data are classified according to different sources of the carbon emission reduction behavior data, and the carbon emission reduction data are managed conveniently.
In some embodiments, encrypting the carbon emission reduction data comprises: constructing a custom function of the carbon emission reduction data by adopting a software development toolkit; and according to the user-defined function, packaging and encrypting the carbon emission reduction data to obtain the encrypted carbon emission reduction data.
Herein, a software development kit may refer to a collection of development tools used by some software engineers to build application software for a particular software package, software framework, hardware platform, operating system, etc.,
the custom function is an encryption function for annotating and defining carbon emission reduction data according to different users, and can be compiled through a Python language, if the carbon emission reduction data is 111222, the carbon emission reduction data is packaged and encrypted by the custom function, and then the ABC11 x 2' which is encrypted carbon emission reduction data can be obtained.
In some embodiments, the carbon reduction amount accounting method further comprises: acquiring identity information of a user to which an object with carbon emission reduction behavior belongs; and sending the encrypted carbon emission reduction data corresponding to the object with the carbon emission reduction behavior, the data tag corresponding to the carbon emission reduction data and the identity information of the user to a block chain network, so that a third party can check the carbon emission reduction data corresponding to the object with the carbon emission reduction behavior.
Here, the user to which the object having the carbon emission reduction behavior belongs refers to an enterprise or an individual who generates the carbon emission reduction behavior through the object having the carbon emission reduction behavior.
The blockchain network is a public infrastructure network, and aims to provide a public infrastructure network which can develop, deploy, operate and maintain, intercommunicate and supervise alliance chain applications at low cost. The block chain application publisher and the participants do not need to purchase a physical server or cloud service to build a block chain running environment of the application publisher and the participants, but use a service network to provide uniform public service and rent shared resources as required. The blockchain network may be a public chain network, a alliance chain network, or a private chain network.
A third party refers to a platform that may be an enterprise, an individual, a national government authority, or other carbon asset management platform.
According to the technical scheme provided by the embodiment of the disclosure, the embodiment of the disclosure can realize that each user is used as a network node of the blockchain network by sending encrypted carbon emission reduction data corresponding to an object with carbon emission reduction behavior, a data tag corresponding to the carbon emission reduction data and identity information of the user to which the data tag belongs to the blockchain network, so that the carbon emission reduction data in the blockchain network can be checked, recorded or verified, and the carbon emission reduction data of the user in the area can be monitored and checked in an undistorted manner by using the blockchain network.
In some embodiments, the carbon reduction amount accounting method further comprises: acquiring a carbon emission reduction data query transaction request of a user initiated by a block chain node where a third party is located; and executing a query transaction request to query the encrypted carbon emission reduction data of the user from the blockchain network and feed the encrypted carbon emission reduction data back to a third party, so that the third party decrypts the encrypted carbon emission reduction data by adopting an authorized key of the user, wherein the query transaction request comprises the identity information of the user and a data tag corresponding to the encrypted carbon emission reduction data.
According to the technical scheme provided by the embodiment of the disclosure, the third party can classify and view the carbon emission reduction data according to the identity information and the data labels of the users.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 3 is a schematic diagram of a carbon reduction amount accounting device provided by the embodiment of the disclosure. As shown in fig. 3, the carbon reduction amount accounting device includes:
an acquisition module 301 configured to acquire identification information of an object having a carbon emission reduction behavior and carbon emission reduction behavior data;
a determination module 302 configured to determine a target preset calculation model based on the identification information;
the calculation module 303 is configured to calculate carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the target preset calculation model, and encrypt the carbon emission reduction data.
According to the technical scheme provided by the embodiment of the disclosure, the carbon emission reduction amount can be accounted in real time based on the carbon emission reduction behavior data, the accounting efficiency of the carbon emission reduction amount is improved, and the safety of the carbon emission reduction amount data is improved by encrypting the carbon emission reduction amount data.
In some embodiments, the determination module 302 of fig. 3 determines keyword information for objects having carbon emissions reduction behavior based on the identification information; and determining a candidate preset calculation model corresponding to the keyword information in the at least one candidate preset calculation model as a target preset calculation model based on the keyword information.
In some embodiments, the calculation module 303 of fig. 3 determines a carbon emission baseline corresponding to the carbon emission reduction behavior data in the carbon emission reduction behavior methodology based on the target preset calculation model; and calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the carbon emission baseline and the carbon emission reduction behavior data.
In some embodiments, the calculation module 303 of fig. 3 classifies the carbon emission reduction data according to different carbon emission reduction behavior data sources corresponding to the carbon emission reduction data, and sets different data labels for different types of carbon emission reduction data; and converting the classified carbon emission reduction data into a carbon emission reduction data stream consisting of the carbon emission reduction data and a data label, and encrypting the carbon emission reduction data.
In some embodiments, the calculation module 303 of fig. 3 employs a software development kit to construct a custom function of carbon reduction emission data; and according to the user-defined function, packaging and encrypting the carbon emission reduction data to obtain the encrypted carbon emission reduction data.
In some embodiments, the carbon reduction accounting apparatus further comprises a sending module 304 configured to obtain identity information of a user to whom the object having carbon reduction behavior belongs; and sending the encrypted carbon emission reduction data corresponding to the object with the carbon emission reduction behavior, the data tag corresponding to the carbon emission reduction data and the identity information of the user to a block chain network, so that a third party can check the carbon emission reduction data corresponding to the object with the carbon emission reduction behavior.
In some embodiments, the carbon reduction accounting apparatus further includes a query module 305 configured to obtain a carbon reduction data query transaction request of a user initiated by a blockchain node where a third party is located; and executing a query transaction request to query the encrypted carbon emission reduction data of the user from the blockchain network and feed the encrypted carbon emission reduction data back to a third party, so that the third party decrypts the encrypted carbon emission reduction data by adopting an authorized key of the user, wherein the query transaction request comprises the identity information of the user and a data tag corresponding to the encrypted carbon emission reduction data.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
Fig. 4 is a schematic diagram of an electronic device 4 provided by the embodiment of the present disclosure. As shown in fig. 4, the electronic apparatus 4 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps in the various method embodiments described above are implemented when the processor 401 executes the computer program 403. Alternatively, the processor 401 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 403.
Illustratively, the computer program 403 may be partitioned into one or more modules/units, which are stored in the memory 402 and executed by the processor 401 to accomplish the present disclosure. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 403 in the electronic device 4.
The electronic device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other electronic devices. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that fig. 4 is merely an example of the electronic device 4, and does not constitute a limitation of the electronic device 4, and may include more or less components than those shown, or combine certain components, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or a memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 6, such as a plug-in hard disk provided on the electronic device 4, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 402 may also include both internal storage units of the electronic device 4 and external storage devices. The memory 402 is used for storing computer programs and other programs and data required by the electronic device. The memory 402 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, and multiple units or components may be combined or integrated into another system, or some features may be omitted or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.
Claims (10)
1. A carbon reduction amount accounting method, characterized by comprising:
acquiring identification information of an object with carbon emission reduction behavior and carbon emission reduction behavior data;
determining a target preset calculation model based on the identification information;
and calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the target preset calculation model, and encrypting the carbon emission reduction data.
2. The method of claim 1, wherein determining a target pre-set computational model based on the identification information comprises:
determining keyword information of the object with carbon emission reduction behavior based on the identification information;
and determining a candidate preset calculation model corresponding to the keyword information in at least one candidate preset calculation model as the target preset calculation model based on the keyword information.
3. The method of claim 1, wherein calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the target preset calculation model comprises:
determining a carbon emission baseline corresponding to the carbon emission reduction behavior data in a carbon emission reduction behavior methodology based on the target preset calculation model;
and calculating carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the carbon emission baseline and the carbon emission reduction behavior data.
4. The method of claim 1, wherein the encrypting the carbon emission reduction data comprises:
classifying the carbon emission reduction data according to different carbon emission reduction behavior data sources corresponding to the carbon emission reduction data, and setting different data labels for the carbon emission reduction data of different types;
and converting the classified carbon emission reduction data into a carbon emission reduction data stream consisting of the carbon emission reduction data and the data label, and encrypting the carbon emission reduction data.
5. The method of claim 4, wherein the encrypting the carbon emission reduction data comprises:
constructing a custom function of the carbon emission reduction data by adopting a software development toolkit;
and according to the user-defined function, packaging and encrypting the carbon emission reduction data to obtain encrypted carbon emission reduction data.
6. The method of claim 5, wherein the carbon reduction amount accounting method further comprises:
acquiring identity information of a user to which the object with the carbon emission reduction behavior belongs;
and sending the encrypted carbon emission reduction data corresponding to the object with the carbon emission reduction behavior, the data tag corresponding to the carbon emission reduction data and the identity information of the user to a block chain network, so that a third party can check the carbon emission reduction data corresponding to the object with the carbon emission reduction behavior.
7. The method of claim 6, wherein the carbon reduction amount accounting method further comprises:
acquiring a carbon emission reduction data query transaction request of a user initiated by a block chain node where the third party is located;
and executing the query transaction request to query the encrypted carbon emission reduction data of the user from the blockchain network and feed the encrypted carbon emission reduction data back to the third party, so that the third party decrypts the encrypted carbon emission reduction data by using the authorization key of the user, wherein the query transaction request comprises the identity information of the user and a data tag corresponding to the encrypted carbon emission reduction data.
8. A carbon reduction amount accounting apparatus, characterized by comprising:
an acquisition module configured to acquire identification information of an object having a carbon emission reduction behavior and carbon emission reduction behavior data;
a determination module configured to determine a target preset calculation model based on the identification information;
and the calculation module is configured to calculate carbon emission reduction data corresponding to the carbon emission reduction behavior data based on the target preset calculation model, and encrypt the carbon emission reduction data.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| CN202111652344.7A CN114417258A (en) | 2021-12-30 | 2021-12-30 | Carbon emission reduction accounting method and device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115099616A (en) * | 2022-06-24 | 2022-09-23 | 中国银行股份有限公司 | Personal carbon account management method and device, storage medium and equipment |
| CN117474286A (en) * | 2023-12-04 | 2024-01-30 | 中国长江电力股份有限公司 | Carbon reduction management method for renewable energy grid-connected power generation project |
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2021
- 2021-12-30 CN CN202111652344.7A patent/CN114417258A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115099616A (en) * | 2022-06-24 | 2022-09-23 | 中国银行股份有限公司 | Personal carbon account management method and device, storage medium and equipment |
| CN117474286A (en) * | 2023-12-04 | 2024-01-30 | 中国长江电力股份有限公司 | Carbon reduction management method for renewable energy grid-connected power generation project |
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