Carbon integral excitation and emission reduction contribution evaluation method and device and electronic equipment

Abstract

The invention discloses a carbon integral incentive and emission reduction contribution evaluation method and device and electronic equipment, and the method comprises the steps: obtaining behavior data of a user, the behavior data comprising energy use data, transportation data, paper data and shopping data; calculating an energy carbon footprint of the user according to the carbon emission factor and the behavior data; according to the energy carbon footprint, carbon points of the user are determined, and the carbon points can be subjected to carbon point transaction on an enterprise platform; and establishing an emission reduction contribution ranking list of the user community according to the acquisition amount of the carbon points, determining the carbon transaction amount of the enterprise platform according to the exchange amount of the carbon points, and determining the personal carbon market scale according to the carbon transaction amount. According to the method, the individual carbon emission contribution can be evaluated more comprehensively by acquiring various behavior data of the user, a more accurate basis is provided for subsequent carbon point calculation, individual carbon reduction behaviors of carbon point acquisition are diversified, and the individual participation enthusiasm is comprehensively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy conservation and emission reduction, and in particular to a method, device and electronic equipment for carbon credit incentive and emission reduction contribution evaluation. Background Art

[0002] With the development of economy and the progress of society, the global carbon emissions continue to increase, leading to the increasingly prominent environmental problem of climate warming. Climate warming has become a global challenge, and countries are actively taking actions to reduce carbon emissions. Carbon footprint is an indicator to measure the carbon emissions of individuals, organizations or activities to the earth's climate. Personal carbon footprint is an important part of the carbon emissions of the whole society. Therefore, governments and environmental protection organizations are seeking effective ways to encourage individuals to reduce carbon emissions.

[0003] The carbon trading platform is one of the important means of carbon credit trading. It provides participants with a platform and framework for carbon credit trading, calculates carbon credits based on personal travel data, and evaluates personal emission reduction contributions. Carbon credits can be exchanged for physical rewards on the carbon trading platform to encourage individuals to reduce carbon emissions and contribute to the development of the carbon market and global environmental protection.

[0004] Most current carbon trading platforms calculate carbon credits based on personal travel data, which cannot accurately and comprehensively measure the contribution of individual behavior to reducing carbon emissions. In addition, the individual carbon reduction behaviors used to obtain carbon credits are single and cannot motivate individuals to participate. Summary of the invention

[0005] The present invention provides a carbon credit incentive and emission reduction contribution evaluation method, device, electronic device and storage medium to solve the problem of single individual carbon reduction behavior and low individual participation enthusiasm in obtaining carbon credits.

[0006] According to one aspect of the present invention, the present invention provides a carbon credit incentive and emission reduction contribution evaluation method, including: obtaining user behavior data, the behavior data including energy usage data, transportation data, paper data and shopping data; calculating the user's energy carbon footprint based on the carbon emission factor and the behavior data; determining the user's carbon credits based on the energy carbon footprint, and the carbon credits can be traded on an enterprise platform; establishing an emission reduction contribution ranking list of the user community based on the amount of carbon credits obtained, determining the carbon trading volume of the enterprise platform based on the redemption amount of the carbon credits, and determining the size of the personal carbon market based on the carbon trading volume.

[0007] Furthermore, the user's energy carbon footprint is calculated based on the carbon emission factor and the behavior data, specifically: the behavior data is divided into behavior type and behavior amount, the behavior type includes energy usage type, transportation mode, paper category and shopping method, the carbon emission factor corresponding to the behavior type is obtained, and the energy carbon footprint is obtained based on the carbon emission factor and the behavior amount.

[0008] Furthermore, the calculation formula of the energy carbon footprint is:

[0009]

[0010] Where n is the number of behavior types, Q i is the behavior quantity, E i is the carbon emission factor.

[0011] Furthermore, the carbon credits of a user are determined based on the energy carbon footprint, specifically by: obtaining user information, the user information including age, occupation and historical energy consumption records of the user community, and determining an individual's energy carbon footprint benchmark based on the user information; determining an amount of reduction in the energy carbon footprint based on a difference between the energy carbon footprint and the energy carbon footprint benchmark; and determining the carbon credits based on the amount of reduction in the energy carbon footprint.

[0012] Furthermore, the carbon credits can be traded on the enterprise platform. Specifically, the carbon credits can be used to purchase goods and services on the enterprise platform, and the carbon credits can also be used to participate in public welfare projects and activities on the enterprise platform.

[0013] Furthermore, the determining the size of the personal carbon market according to the carbon trading volume is specifically: conducting an audit according to the carbon trading volume; when the audit result is qualified, evaluating the size of the personal carbon market according to the carbon trading volume; and generating subsidy plan data according to the personal carbon market size.

[0014] Furthermore, the energy usage data includes the consumption of solar energy, electricity, natural gas and coal gas; the transportation data includes the transportation mode and travel distance; the paper data includes the paper category and paper usage; and the shopping data includes the shopping method and shopping amount.

[0015] According to another aspect of the present invention, a carbon credit incentive and emission reduction contribution evaluation device is provided, comprising: a data acquisition module, the data acquisition module is used to acquire user behavior data, the behavior data includes energy usage data, transportation data, paper data and shopping data; an energy carbon footprint module, the energy carbon footprint module is used to calculate the user's energy carbon footprint based on the carbon emission factor and the behavior data; a carbon credit exchange module, the carbon credit exchange module is used to determine the user's carbon credits based on the energy carbon footprint, and the carbon credits can be traded on an enterprise platform; a carbon credit evaluation module, the carbon credit evaluation module is used to establish an emission reduction contribution ranking list of the user community based on the amount of carbon credits acquired, determine the carbon trading volume of the enterprise platform based on the amount of carbon credits exchanged, and determine the size of the personal carbon market based on the carbon trading volume.

[0016] According to another aspect of the present invention, there is provided an electronic device, comprising: at least one processor, and a memory communicatively connected to the at least one processor;

[0017] Among them, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any carbon credit incentive and emission reduction contribution evaluation method in the embodiments of the present invention.

[0018] According to another aspect of the present invention, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable a computer to execute any carbon credit incentive and emission reduction contribution evaluation method in the embodiments of the present invention.

[0019] According to the technology of the present invention, by obtaining the user's behavioral data, including data on energy use, transportation, paper and shopping, etc., it is possible to more comprehensively evaluate the individual's carbon emission contribution, provide a more accurate basis for the subsequent calculation of carbon credits, and at the same time diversify the individual's carbon reduction behaviors for obtaining carbon credits, and comprehensively improve the individual's enthusiasm for participation. Using carbon emission factors and various behavioral data, the user's energy carbon footprint can be accurately calculated, the individual's carbon emission level can be better quantified, the data recognition can be improved, and a reliable basis for the subsequent determination of carbon credits can be provided. By determining the user's carbon credits based on the energy carbon footprint, the individual's emission reduction contribution is directly linked to rewards, thereby motivating individuals to actively take emission reduction actions.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to better understand the present invention and do not constitute a limitation of the present invention.

[0022] Figure 1 is a flow chart of a carbon credit incentive and emission reduction contribution evaluation method provided by an embodiment of the present invention;

[0023] Figure 2 is a flowchart of step S3 in the carbon credit incentive and emission reduction contribution evaluation method provided in an embodiment of the present invention;

[0024] Figure 3 It is a structural schematic diagram of a carbon credit incentive and emission reduction contribution evaluation device provided in an embodiment of the present invention;

[0025] Figure 4 It is a schematic diagram of an electronic device and a storage medium for implementing an embodiment of the present invention.

[0026] In the figure, 100, carbon credit incentive and emission reduction contribution evaluation device; 11, data acquisition module; 12, energy carbon footprint module; 13, carbon credit exchange module; 14, carbon credit evaluation module; 200, electronic device; 201, computing unit; 202, ROM; 203, RAM; 204, bus; 205, I / O interface; 206, input unit; 207, output unit; 208, storage unit; 209, communication unit. DETAILED DESCRIPTION

[0027] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be appreciated by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope of the present invention. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0028] Terminology explanation section:

[0029] Carbon emission factor: refers to the average value of carbon dioxide equivalent produced per unit of energy consumption, usually provided by environmental protection agencies or scientific research institutions, with the unit of kilograms of carbon dioxide equivalent per unit of energy.

[0030] like Figure 1As shown, an embodiment of the present invention discloses a carbon credit incentive and emission reduction contribution evaluation method, including: S1, obtaining user behavior data, the behavior data including energy usage data, transportation data, paper data and shopping data; S2, calculating the user's energy carbon footprint based on the carbon emission factor and behavior data; S3, determining the user's carbon credits based on the energy carbon footprint, and the carbon credits can be traded on the enterprise platform; S4, establishing an emission reduction contribution ranking list of the user community based on the amount of carbon credits obtained, determining the carbon trading volume of the enterprise platform based on the amount of carbon credits exchanged, and determining the size of the personal carbon market based on the carbon trading volume.

[0031] The carbon credit incentive and emission reduction contribution evaluation method of this application can more comprehensively evaluate an individual's carbon emission contribution by obtaining user behavior data, including data on energy use, transportation, paper, shopping, etc., providing a more accurate basis for subsequent carbon credit calculations, while diversifying individual carbon reduction behaviors for obtaining carbon credits and comprehensively improving individual participation enthusiasm. Using carbon emission factors and various behavioral data, the user's energy carbon footprint can be accurately calculated, the individual's carbon emission level can be better quantified, data recognition can be improved, and a reliable basis for subsequent carbon credit determination can be provided. By determining the user's carbon credits based on the energy carbon footprint, the individual's emission reduction contribution is directly linked to rewards, thereby motivating individuals to actively take emission reduction actions and contribute to the development of the carbon market.

[0032] Establishing a ranking list of emission reduction contributions in the user community based on the amount of carbon credits obtained can promote competition and communication among users, further stimulate personal enthusiasm for emission reduction, and form a good community atmosphere. By determining the carbon trading volume of the enterprise platform based on the amount of carbon credits exchanged, and determining the size of the personal carbon market accordingly, enterprises can obtain corresponding subsidies based on the size of the personal carbon market, increase their enthusiasm for participation, and thus promote the healthy development of the carbon trading market and make greater contributions to global environmental protection.

[0033] In an optional embodiment of the present invention, the energy usage data includes energy type and energy consumption, energy types include household electricity, coal gas, natural gas and coal, transportation data includes transportation mode and travel distance, paper data includes paper category and paper usage, and shopping data includes shopping method and shopping amount.

[0034] By obtaining energy usage data (such as household electricity, coal gas, natural gas, coal, water and energy consumption), transportation data (such as fuel vehicles, new energy vehicles, public transportation, bicycles, walking and travel distance), paper data (such as electronic bills, paper bills and paper usage), shopping data (such as physical store shopping, e-commerce shopping and shopping volume), we can more comprehensively evaluate individual carbon emission contributions, provide more calculation basis for subsequent carbon credits, and at the same time diversify individual carbon reduction behaviors for obtaining carbon credits, increase the amount of personal carbon credits obtained, expand the scale of the personal carbon market, increase the corresponding subsidies for enterprises, comprehensively improve the enthusiasm of individuals and enterprises to participate, and reduce social carbon dioxide emissions.

[0035] By using a variety of user behaviors as the basis for calculating carbon points, users can be incentivized to engage in a variety of low-carbon behaviors. This can encourage users to optimize energy consumption, such as increasing the utilization of solar energy and reducing dependence on coal and natural gas; in terms of transportation, individuals can be encouraged to choose more environmentally friendly modes of travel, such as walking, cycling, or using public transportation to reduce carbon emissions and traffic congestion; in terms of paper, individuals can be encouraged to reduce unnecessary paper consumption, promote electronic documents and digital home offices, thereby saving tree resources and reducing waste paper recycling costs; in terms of shopping, individuals can be encouraged to choose more environmentally friendly and sustainable shopping methods, such as purchasing products made of renewable materials, reducing packaging waste, or choosing second-hand goods.

[0036] Energy usage data covers the consumption of solar energy, electricity, natural gas and coal gas, taking into account the use of various energy sources, which helps to more accurately assess individual energy consumption and provides an important basis for formulating targeted energy emission reduction measures. At the same time, transportation data includes transportation modes and travel distances, which makes the assessment of individual transportation behavior more comprehensive, can better understand individual travel habits and travel distances, and help promote more environmentally friendly transportation methods and route planning. Paper data covers paper categories and usage, which is crucial for assessing the specific situation of individual paper use, and can help encourage environmentally friendly practices such as reducing paper consumption and promoting electronic office, thereby reducing carbon emissions. Shopping data includes shopping methods and shopping volumes, which provides important data support for assessing individual consumption behavior, can encourage individuals to consume more rationally, choose more environmentally friendly shopping methods, reduce unnecessary resource waste, thereby reducing carbon footprint and contributing to environmental protection.

[0037] Specifically, the energy usage data, transportation data, paper data and shopping data of users are collected through software, online questionnaires and offline questionnaires. The household electricity usage of users is obtained through smart meters.

[0038] In an optional embodiment of the present invention, step S2 is specifically as follows: the behavior data is divided into behavior types and behavior amounts, the behavior types include energy usage types, transportation modes, paper categories and shopping methods, the carbon emission factors corresponding to the behavior types are obtained, and the energy carbon footprint is obtained based on the carbon emission factors and the behavior amounts.

[0039] By dividing the behavior data into different types and combining them with the corresponding carbon emission factors, the contribution of users' low-carbon behaviors to the environment can be accurately evaluated, which can help individuals better understand the sources of their carbon footprints and take corresponding actions to reduce carbon emissions. At the same time, the energy carbon footprint calculation method for multiple user behaviors has good versatility and applicability, making it applicable to user groups in different regions and of different sizes, thereby promoting a wider range of environmental awareness and actions.

[0040] In an optional embodiment of the present invention, the calculation formula of energy carbon footprint is:

[0041]

[0042] Where n is the number of behavior types, Q i is the behavior quantity, E i is the carbon emission factor.

[0043] The calculation formula of energy carbon footprint is based on the product of behavior quantity and carbon emission factor. It can accurately quantify the energy consumption of various personal behaviors and provide a scientific basis for evaluating personal carbon footprint. By multiplying the specific quantity of each behavior with the corresponding carbon emission factor, the contribution value of each behavior to carbon emissions is obtained, which comprehensively considers the impact of different types of behaviors and more accurately reflects the individual's carbon emission level, which helps guide individuals to formulate more effective emission reduction strategies. The calculation formula of energy carbon footprint is concise and easy to understand and operate. It provides a convenient method for evaluating personal energy consumption, and also provides a reliable basis for the calculation and reward system of carbon points.

[0044] In an optional embodiment of the present invention, step S3 is specifically as follows: S31, obtaining user information, the user information including age, occupation and historical energy consumption records of the user community, and determining the individual's energy carbon footprint benchmark based on the user information; S32, determining the energy carbon footprint reduction based on the difference between the energy carbon footprint and the energy carbon footprint benchmark; S33, determining carbon points based on the energy carbon footprint reduction; S34, carbon points can be used to purchase goods and services on the enterprise platform, and carbon points can also be used to participate in public welfare projects and activities on the enterprise platform.

[0045] Obtaining user information, including age, occupation, and historical energy consumption records of the user community, helps to establish a personal energy consumption benchmark and more accurately assess the user's daily carbon emissions. Determine the individual's energy carbon footprint benchmark based on user information. By analyzing the user's age, occupation, and historical energy consumption records, establish a personal energy consumption benchmark, and use it as a reference standard to calculate the energy carbon footprint reduction. By using personal information as the energy carbon footprint benchmark, it is more possible to quantify the amount of action and contribution of individuals in reducing carbon emissions than using industry information as a benchmark, which helps to motivate individuals to reduce carbon emissions.

[0046] Calculate the difference between the energy carbon footprint and the energy carbon footprint benchmark. Compare the user's current energy consumption with the personal energy carbon footprint benchmark to obtain the reduction in energy carbon footprint, that is, the user's progress in reducing carbon emissions. Determine the user's carbon credits based on the reduction in energy carbon footprint. According to the user's actual energy consumption reduction, give corresponding carbon credit rewards to encourage users to adopt a more environmentally friendly lifestyle and behavioral habits, to motivate users to take energy-saving and emission-reduction measures, and promote the low-carbon and environmentally friendly development of society. It also provides individuals with an opportunity and motivation to participate in low-carbon actions.

[0047] By linking carbon credits to the purchase of goods and services on corporate platforms, as well as participation in public welfare projects and activities such as desert tree planting and forest protection, users are encouraged to take more environmentally friendly actions. This direct reward mechanism can encourage users to pay more attention to their own carbon emissions and actively participate in emission reduction activities. By setting up a platform with a carbon credit reward mechanism, companies not only encourage users to take environmental protection actions, but also demonstrate their social responsibility and help obtain policy subsidies from the carbon trading market. The investment of companies in the fields of environmental protection and public welfare will drive more social resources to environmental protection and public welfare, and promote the sustainable development of society as a whole.

[0048] The use of carbon credits will promote user interaction on the corporate platform. For example, users can participate in public welfare projects and activities in the local community through carbon credits, increase cooperation and communication among community members, and enhance environmental awareness and community participation. The use of carbon credits on the corporate platform is not limited to local users, but can also be extended to a wider user group, thereby expanding the scope of environmental impact and sustainable development. Using carbon credits to purchase goods and services and participate in public welfare projects and activities can not only effectively motivate environmental behavior, but also promote corporate social responsibility, promote community interaction and awareness, and expand environmental impact, thereby achieving more sustainable development goals.

[0049] In an optional embodiment of the present invention, the size of the personal carbon market is determined according to the carbon trading volume, specifically: an audit is conducted according to the carbon trading volume; when the audit result is qualified, the size of the personal carbon market is evaluated according to the carbon trading volume; and subsidy plan data is generated according to the personal carbon market size.

[0050] By auditing the carbon trading volume, we can ensure that the data used is reliable and accurate, which helps to avoid the impact of data errors or inconsistencies on the evaluation of the size of the personal carbon market and the contribution to emission reduction, thereby improving the credibility and accuracy of the evaluation. Based on the qualified carbon trading volume, we can accurately evaluate the size of the personal carbon market, which will help the public sector understand the individual carbon emissions and formulate more effective carbon emission reduction policies and measures.

[0051] By generating subsidy scheme data based on the size of the personal carbon market, the public sector can formulate subsidy schemes for enterprises in a more scientific manner, better reflect personal carbon emissions, and ensure the fairness and effectiveness of subsidies. By evaluating the size of the personal carbon market and formulating subsidy schemes, individuals can be encouraged to take more carbon reduction actions, and enterprises can be encouraged to optimize the carbon credit trading platform, which will help promote the overall low-carbon transformation of society and promote the realization of carbon reduction targets.

[0052] Auditing based on carbon trading volume, assessing the size of individual carbon markets based on the audit results and generating data on corporate subsidy programs will help ensure the reliability of the data, accurately assess the size of the carbon market, formulate subsidy programs based on actual data, and incentivize carbon emission reduction behaviors, thereby promoting low-carbon development.

[0053] Figure 3 As shown, the carbon credit incentive and emission reduction contribution evaluation device 100 may include:

[0054] The data acquisition module 11 is used to acquire the user's behavior data, which includes energy usage data, traffic data, paper data and shopping data;

[0055] The energy carbon footprint module 12 is used to calculate the energy carbon footprint of the user based on the carbon emission factor and behavior data;

[0056] The carbon credit exchange module 13 is used to determine the user's carbon credits based on the energy carbon footprint, and the carbon credits can be traded on the enterprise platform;

[0057] The carbon credit evaluation module 14 is used to establish a user community's emission reduction contribution ranking list based on the amount of carbon credits obtained, determine the carbon trading volume of the enterprise platform based on the amount of carbon credits exchanged, and determine the size of the personal carbon market based on the carbon trading volume.

[0058] For the description of specific functions and examples of each module and submodule of the device in the embodiment of the present invention, reference can be made to the relevant description of the corresponding steps in the above method embodiment, which will not be repeated here.

[0059] In the technical solution of the present invention, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0060] According to an embodiment of the present invention, the present invention also provides an electronic device, a readable storage medium and a computer program product.

[0061] Figure 4 A schematic block diagram of an example electronic device 200 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0062] like Figure 4 As shown, the device 200 includes a computing unit 201, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 202 or a computer program loaded from a storage unit 208 into a random access memory (RAM) 203. In the RAM 203, various programs and data required for the operation of the device 200 can also be stored. The computing unit 201, the ROM 202, and the RAM 203 are connected to each other via a bus 204. An input / output (I / O) interface 205 is also connected to the bus 204.

[0063] A number of components in the device 200 are connected to the I / O interface 205, including: an input unit 206, such as a keyboard, a mouse, etc.; an output unit 207, such as various types of displays, speakers, etc.; a storage unit 208, such as a disk, an optical disk, etc.; and a communication unit 209, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 209 allows the device 200 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0064] The computing unit 201 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 201 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 201 performs the various methods and processes described above, such as a carbon credit incentive and emission reduction contribution evaluation method. For example, in some embodiments, a carbon credit incentive and emission reduction contribution evaluation method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 208. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 200 via the ROM 202 and / or the communication unit 209. When the computer program is loaded into the RAM 203 and executed by the computing unit 201, one or more steps of a carbon credit incentive and emission reduction contribution evaluation method described above may be performed. Alternatively, in other embodiments, the computing unit 201 may be configured to execute a carbon credit incentive and emission reduction contribution evaluation method in any other appropriate manner (eg, by means of firmware).

[0065] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0066] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0067] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0068] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0069] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0070] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0071] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present invention can be achieved, and this document does not limit this.

[0072] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating carbon credit incentives and emission reduction contributions, It is characterized in that include: Acquiring user behavior data, wherein the behavior data includes energy usage data, traffic travel data, paper data, and shopping data; Calculate the user's energy carbon footprint based on the carbon emission factor and the behavioral data; Determine the user's carbon credits based on the energy carbon footprint, and the carbon credits can be traded on the enterprise platform; A ranking list of emission reduction contributions of the user community is established based on the amount of carbon credits obtained, the carbon trading volume of the enterprise platform is determined based on the amount of carbon credits exchanged, and the size of the personal carbon market is determined based on the carbon trading volume.

2. The method according to claim 1, It is characterized in that The energy carbon footprint of the user is calculated based on the carbon emission factor and the behavior data, specifically: The behavior data is divided into behavior types and behavior amounts. The behavior types include energy usage types, transportation modes, paper categories, and shopping methods. The carbon emission factors corresponding to the behavior types are obtained, and the energy carbon footprint is obtained based on the carbon emission factors and the behavior amounts.

3. The method according to claim 2, It is characterized in that The calculation formula of the energy carbon footprint is: Where n is the number of behavior types, Q i is the behavior quantity, E i is the carbon emission factor.

4. The method according to claim 1, It is characterized in that Determining the user's carbon credits according to the energy carbon footprint is specifically as follows: Obtaining user information, the user information including age, occupation, and historical energy consumption records of the user community, and determining an individual's energy carbon footprint benchmark based on the user information; determining an energy carbon footprint reduction amount based on a difference between the energy carbon footprint and the energy carbon footprint benchmark; The carbon credits are determined according to the reduction in the energy carbon footprint.

5. The method according to claim 1, It is characterized in that The carbon credits can be traded on the enterprise platform, specifically: The carbon credits can be used to purchase goods and services on the enterprise platform, and the carbon credits can also be used to participate in public welfare projects and activities on the enterprise platform.

6. The method according to claim 1, It is characterized in that The individual carbon market size is determined based on the carbon trading volume, specifically: Conduct an audit based on the stated carbon trading volume; When the audit result is qualified, the scale of the personal carbon market is evaluated based on the carbon trading volume; Subsidy scheme data is generated according to the size of the personal carbon market.

7. The method according to claim 1, It is characterized in that The energy usage data includes the consumption of solar energy, electricity, natural gas and coal gas; the transportation data includes the transportation mode and travel distance; the paper data includes the paper category and paper usage; and the shopping data includes the shopping method and shopping amount.

8. A carbon credit incentive and emission reduction contribution evaluation device, It is characterized in that include: A data acquisition module, the data acquisition module is used to acquire user behavior data, the behavior data includes energy usage data, traffic data, paper data and shopping data; An energy carbon footprint module, the energy carbon footprint module is used to calculate the energy carbon footprint of the user according to the carbon emission factor and the behavior data; A carbon credit exchange module, which is used to determine the user's carbon credits based on the energy carbon footprint, and the carbon credits can be traded on the enterprise platform; A carbon credit evaluation module is used to establish a user community's emission reduction contribution ranking list based on the amount of carbon credits obtained, determine the carbon trading volume of the enterprise platform based on the amount of carbon credits exchanged, and determine the size of the personal carbon market based on the carbon trading volume.

9. An electronic device, It is characterized in that include: at least one processor, and a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, in, The computer instructions are used to cause the computer to execute the method according to any one of claims 1-7.

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