Carbon emission accounting method and carbon emission portrait generation method based on consumption behaviors of residents

Abstract

The invention provides a carbon emission accounting method and a carbon emission portrait generation method based on consumption behaviors of residents, and belongs to the technical field of carbon emission accounting, and in the accounting method, consumption data of the residents in various consumption behaviors are used for accounting carbon emission corresponding to the various consumption behaviors of the residents. The method can accurately obtain the carbon emission of the resident in daily life, provides data support for the scoring of the carbon emission of various consumption behaviors of the resident, further generates a carbon emission portrait of each consumption behavior of the resident, displays the carbon emission state of the resident in various consumption behaviors, and provides guidance for formulating an incentive mechanism for the resident to participate in carbon reduction work.

Description

Technical Field

[0001] The present invention belongs to the technical field of carbon emission accounting, and in particular relates to a carbon emission accounting method based on residents' consumption behavior. Background Art

[0002] Spatial analysis of urban residential carbon emissions is an important part of implementing low-carbon city construction, and spatial mapping of residential carbon emissions is the basis for spatial analysis of residential carbon emissions. In traditional technology, urban residential carbon emissions in various regions are generally calculated based on statistical data. The advantages are simple methods, easy data acquisition, and long-term, continuous and extensive data, which are convenient for comparison between different regions or different time periods. It has been widely used; however, the disadvantage of this method is that the statistical data of urban residential carbon emissions are relatively rough, lack of precise spatial attributes, and cannot reflect the heterogeneous characteristics of carbon emission spatial distribution, and cannot accurately reflect the spatial variation characteristics of residential carbon emissions during the rapid construction of cities.

[0003] There are currently two exploratory methods to achieve spatial analysis of residential carbon emissions. The first method is to estimate residential carbon emissions by developing or introducing models. The disadvantages of this type of method are that the model has a limited scope of application and the data used in the model is not easy to obtain, so the applicability of the method is greatly limited. The second method is to conduct field research based on a large sample from a micro perspective to study the spatial characteristics and formation mechanism of urban residential energy carbon emissions. The characteristics of this type of method are that although it can obtain accurate spatial attributes of carbon emissions and can perform spatial data analysis, the disadvantage is that the workload is large, the data obtained is discontinuous, not suitable for promotion, and poor applicability. Summary of the invention

[0004] The present invention provides a carbon emission accounting method and a carbon emission portrait generation method based on residents' consumption behavior, so as to solve the problems that the relevant technologies have limited adaptability, application data is not easy to obtain, and applicability has great limitations.

[0005] In a first aspect, the present invention provides a carbon emission accounting method based on residents' consumption behavior, comprising:

[0006] Determine the carbon emissions corresponding to household electricity consumption in the target area;

[0007] Determine the carbon emissions corresponding to residential natural gas consumption in the target area;

[0008] Determine the carbon emissions corresponding to residents’ transportation consumption in the target area;

[0009] Determine the carbon emissions corresponding to the housing consumption of residents in the target area;

[0010] Determine the carbon emissions corresponding to residents’ clothing consumption in the target area;

[0011] Determine the carbon emissions corresponding to the dietary consumption of residents in the target area;

[0012] Determine the carbon emissions corresponding to the consumption of equipment and supplies by residents in the target area;

[0013] Determine the carbon emissions corresponding to the cultural, educational and entertainment consumption of residents in the target area;

[0014] The carbon emissions corresponding to all consumption are summed up to obtain the total carbon emissions of residents in the target area.

[0015] Optionally, determining the carbon emissions corresponding to household electricity consumption in the target area includes:

[0016] Obtain the household electricity consumption E and the carbon emission coefficient ES of household electricity in the target area e ;

[0017] The carbon emissions CE1 corresponding to household electricity consumption in the target area are calculated according to the following formula:

[0018] CE1=E×ES e .

[0019] Optionally, determining the carbon emissions corresponding to the natural gas consumption of residents in the target area includes:

[0020] Obtain the total natural gas consumption NG and the carbon content CC of natural gas per unit calorific value of residents in the target area ng 、Carbon oxidation rate of natural gas ng and the average lower calorific value (NCV) of natural gas ng ;

[0021] The carbon emissions CE2 corresponding to the natural gas consumption of residents in the target area are calculated according to the following formula:

[0022] CE2=NG×CC ng ×OF ng ×NCV ng ×(11 / 3)×10 -6 .

[0023] Optionally, determining the carbon emissions corresponding to residents' transportation consumption in the target area includes:

[0024] Obtain the monthly refueling volume G and the unit calorific value carbon content CC of the residents in the target area g 、Gasoline carbon oxidation rate OF g , the average lower calorific value (NCV) of gasoline g 、Residents’ monthly electric vehicle charging capacity Eec and the carbon emission coefficient ES of household electricity e ;

[0025] The carbon emissions CE3 corresponding to residents’ transportation consumption in the target area are calculated according to the following formula:

[0026] CE3=G×CC g ×OF g ×NCV g ×(11 / 3)×0.745×10 -6 +ES e ×E ec .

[0027] Optionally, determining the carbon emissions corresponding to the housing consumption of residents in the target area includes:

[0028] Get the amount of housing consumption S of residents in the target area r And the carbon emission intensity ES corresponding to housing consumption r ;

[0029] The carbon emissions CE4 corresponding to the residential housing consumption in the target area is calculated according to the following formula:

[0030]

[0031] Optionally, determining the carbon emissions corresponding to clothing consumption of residents in the target area includes:

[0032] Get the amount of clothing consumption S of residents in the target area c And the carbon emission intensity ES corresponding to clothing consumption c ;

[0033] The carbon emissions CE5 corresponding to residents’ clothing consumption in the target area is calculated according to the following formula:

[0034] CE5=ES c ×S c .

[0035] Optionally, determining the carbon emissions corresponding to the dietary consumption of residents in the target area includes:

[0036] Get the amount of food consumption S of residents in the target area f And the carbon emission intensity ES corresponding to clothing consumption f ;

[0037] The carbon emissions CE6 corresponding to residents’ clothing consumption in the target area are calculated according to the following formula:

[0038] CE6=ES f ×S f .

[0039] Optionally, the carbon emissions corresponding to the consumption of equipment and supplies by residents in the target area are determined:

[0040] Get the amount of money S spent by residents in the target area on equipment and supplies d And the carbon emission intensity ES corresponding to equipment and supplies consumption d ;

[0041] Calculate the carbon emissions CE7 corresponding to residents’ clothing consumption in the target area according to the following formula:

[0042] CE7=ES d ×S d .

[0043] Optionally, determining the carbon emissions corresponding to the cultural, educational and entertainment consumption of residents in the target area includes:

[0044] Get the amount of money S spent by residents in the target area on culture, education and entertainment a And the carbon emission intensity ES corresponding to equipment and supplies consumption a ;

[0045] The carbon emissions CE8 corresponding to residents’ clothing consumption in the target area is calculated according to the following formula:

[0046] CE8=ES a ×S a .

[0047] In a second aspect, the present invention provides a method for generating a carbon emission profile, comprising:

[0048] Normalizing the carbon emissions corresponding to each consumption obtained by the carbon emission accounting method based on residents' consumption behavior described in the first aspect;

[0049] According to the normalized carbon emissions corresponding to each consumption, the carbon emissions generated by the target residents in the target consumption behavior are scored and displayed in the form of a radar chart;

[0050] The carbon emissions generated by the target residents in the target consumption behavior are scored according to the carbon emissions corresponding to each consumption after normalization, including:

[0051] The carbon emission score generated by the target resident's target consumption behavior is calculated according to the following formula:

[0052]

[0053] in, is the carbon emission score generated by resident j in the kth consumption behavior; is the normalized mean of carbon emissions of the k-th consumption behavior; is the normalized value of carbon emissions generated by resident j in the kth type of consumption behavior; is the normalized maximum carbon emission of the k-th consumption behavior; It is the minimum value of the normalized carbon emissions of the k-th consumption behavior.

[0054] The present invention provides a carbon emission accounting method and a carbon emission portrait generation method based on residents' consumption behavior. In the method, the carbon emission corresponding to various consumer behaviors of residents is calculated based on the consumption data of residents in various consumer behaviors. The carbon emission in residents' daily life can be accurately obtained, and data support can be provided for the scoring of carbon emission of various consumer behaviors of residents. Then, carbon emission portraits of various consumer behaviors of residents are generated, and the carbon emission status of residents in various consumer behaviors is displayed, so as to provide guidance for the formulation of incentive mechanisms for residents to participate in carbon reduction work. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 A schematic diagram of a process flow of a carbon emission accounting method based on residents' consumption behavior provided by an embodiment of the present invention;

[0057] Figure 2 A carbon emission profile of a typical user 1 provided in an embodiment of the present invention;

[0058] Figure 3 A carbon emission profile of a typical user 2 provided in an embodiment of the present invention;

[0059] Figure 4 A carbon emission profile of a typical user 3 provided in an embodiment of the present invention;

[0060] Figure 5 A carbon emission profile of a typical user 4 provided in an embodiment of the present invention;

[0061] Figure 6 A carbon emission profile of a typical user 5 provided in an embodiment of the present invention;

[0062] Figure 7 A carbon emission profile of a typical user 6 provided in an embodiment of the present invention;

[0063] Figure 8 A structural schematic diagram of a carbon emission accounting system based on residents' consumption behavior provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] Example 1

[0066] like Figure 1 As shown, this embodiment provides a carbon emission accounting method based on residents' consumption behavior, including:

[0067] Step 101, determining the carbon emissions corresponding to household electricity consumption in the target area.

[0068] Exemplarily, this step includes obtaining the household electricity consumption E and the carbon emission coefficient ES of household electricity in the target area. e .

[0069] The carbon emissions CE1 corresponding to household electricity consumption in the target area are calculated according to the following formula:

[0070] CE1=E×ES e .

[0071] Step 102, determining the carbon emissions corresponding to the natural gas consumption of residents in the target area.

[0072] For example, this step includes obtaining the total natural gas consumption NG of residents in the target area, the carbon content per unit calorific value CC of the natural gas, and the total natural gas consumption NG of residents in the target area. ng 、Carbon oxidation rate of natural gas ng and the average lower calorific value (NCV) of natural gas ng .

[0073] The carbon emissions CE2 corresponding to the natural gas consumption of residents in the target area are calculated according to the following formula:

[0074] CE2=NG×CC ng ×OF ng ×NCV ng ×(11 / 3)×10 -6 .

[0075] Step 103, determining the carbon emissions corresponding to residents' transportation consumption in the target area.

[0076] In this embodiment, the carbon emissions caused by energy consumption in transportation are mainly calculated from fuel for fuel vehicles and charging for electric vehicles.

[0077] Obtain the monthly refueling volume G and the unit calorific value carbon content CC of the residents in the target area g 、Gasoline carbon oxidation rate OF g , the average lower calorific value (NCV) of gasoline g 、Residents’ monthly electric vehicle charging capacity E ec and the carbon emission coefficient ES of household electricity e .

[0078] For example, the carbon emissions CE3 corresponding to the residents' transportation consumption in the target area are calculated according to the following formula:

[0079] CE3=G×CC g ×OF g ×NCV g ×(11 / 3)×0.745×10 -6 +ES e ×E ec .

[0080] Step 104, determining the carbon emissions corresponding to the housing consumption of residents in the target area.

[0081] Exemplarily, this step includes obtaining the housing consumption amount S of residents in the target area. r And the carbon emission intensity ES corresponding to housing consumption r .

[0082] The carbon emissions CE4 corresponding to the residential housing consumption in the target area is calculated according to the following formula:

[0083]

[0084] Step 105, determining the carbon emissions corresponding to the clothing consumption of residents in the target area.

[0085] For example, this step includes obtaining the amount of clothing consumption S of residents in the target area. c And the carbon emission intensity ES corresponding to clothing consumption c .

[0086] The carbon emissions CE5 corresponding to residents’ clothing consumption in the target area is calculated according to the following formula:

[0087] CE5=ES c ×S c .

[0088] Step 106, determining the carbon emissions corresponding to the dietary consumption of residents in the target area.

[0089] Exemplarily, this step includes obtaining the amount of food consumption S of residents in the target area. fAnd the carbon emission intensity ES corresponding to clothing consumption f .

[0090] The carbon emissions CE6 corresponding to residents’ clothing consumption in the target area are calculated according to the following formula:

[0091] CE6=ES f ×S f .

[0092] Step 107, determining the carbon emissions corresponding to the consumption of equipment and supplies by residents in the target area.

[0093] Exemplarily, this step includes obtaining the amount of money S spent on equipment and supplies by residents in the target area. d And the carbon emission intensity ES corresponding to equipment and supplies consumption d .

[0094] The carbon emissions CE7 corresponding to residents’ clothing consumption in the target area is calculated according to the following formula:

[0095] CE7=ES d ×S d .

[0096] Step 108, determining the carbon emissions corresponding to the cultural, educational and entertainment consumption of residents in the target area.

[0097] For example, this step includes obtaining the amount of expenditure S of residents in the target area on culture, education and entertainment. a And the carbon emission intensity ES corresponding to equipment and supplies consumption a .

[0098] The carbon emissions CE8 corresponding to residents’ clothing consumption in the target area is calculated according to the following formula:

[0099] CE8=ES a ×S a .

[0100] Step 109, summing up the carbon emissions corresponding to all consumption to obtain the total carbon emissions of residents in the target area.

[0101] All consumption in this step includes the above-mentioned household electricity consumption, natural gas consumption, transportation consumption, housing consumption, clothing consumption, food consumption, equipment and supplies consumption, and cultural and educational entertainment consumption, and the total carbon emissions CE of residents in the target area are obtained. 总 =CE1+CE2+CE3+CE4+CE5+CE6+CE7+CE8.

[0102] In summary, the carbon emission accounting method based on residents' consumption behavior provided in this embodiment uses the consumption data of residents in various consumption behaviors to calculate the carbon emissions corresponding to various consumption behaviors of residents. It can accurately obtain the carbon emissions in residents' daily lives, provide data support for the scoring of carbon emissions of various consumption behaviors of residents, and then generate carbon emission portraits of various consumption behaviors of residents, showing the carbon emission status of residents in various consumption behaviors, and providing guidance for formulating incentive mechanisms for residents to participate in carbon reduction work.

[0103] Example 2

[0104] According to the carbon emissions corresponding to each consumer behavior of residents obtained in Example 1, in order to better describe the carbon emission status of residents in various consumer behaviors, this embodiment is based on the carbon emission scoring system of various consumer behaviors of residents with maximum-minimum value normalization, and converts the carbon emissions of various consumer behaviors that do not have a comparative relationship with each other into comparable scores under the same standard framework. Then, based on this system, a carbon emission portrait of residents is generated, and the carbon emissions of residents' daily consumption are visualized in the form of a radar chart, so that the scores in different categories of consumer behaviors have the same meaning, providing guidance for designing carbon emission reduction incentive mechanisms for various families in the future.

[0105] The carbon emissions from daily life of residents obtained according to the carbon emission accounting method provided in Example 1 mainly include total carbon emissions, household electricity carbon emissions, natural gas carbon emissions, transportation carbon emissions, clothing consumption carbon emissions, food consumption carbon emissions, housing carbon emissions, equipment and supplies carbon emissions, and culture, education and entertainment carbon emissions, a total of nine aspects, that is, a 9-dimensional feature that describes the carbon emissions from daily life of residents.

[0106] This embodiment provides a method for generating a carbon emission profile, including:

[0107] The carbon emissions corresponding to each consumption obtained by the carbon emission accounting method based on residents' consumption behavior described in Example 1 are normalized.

[0108] Based on the normalized carbon emissions corresponding to each consumption, the carbon emissions generated by the target residents in the target consumption behavior are scored and displayed in the form of a radar chart.

[0109] The carbon emissions generated by the target residents in the target consumption behavior are scored according to the carbon emissions corresponding to each consumption after normalization, including:

[0110] The carbon emission score generated by the target resident's target consumption behavior is calculated according to the following formula:

[0111]

[0112] in, is the carbon emission score generated by resident j in the kth consumption behavior; is the normalized mean of carbon emissions of the k-th consumption behavior; is the normalized value of carbon emissions generated by resident j in the kth type of consumption behavior; is the normalized maximum carbon emission of the k-th consumption behavior; It is the minimum value of the normalized carbon emissions of the k-th consumption behavior.

[0113] like Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 and Figure 7 As shown in the figure, by using the k-means clustering algorithm, six types of typical users are obtained, and the carbon emission portraits of these six types of typical users are drawn.

[0114] Example 3

[0115] Based on the same inventive concept as Example 1, this example provides a carbon emission accounting system based on residents' consumption behavior. Since the principle of solving the problem by this system is similar to the aforementioned carbon emission accounting method based on residents' consumption behavior, the implementation of this system can refer to the implementation of the carbon emission accounting method based on residents' consumption behavior.

[0116] like Figure 8 As shown in the figure, the carbon emission accounting system based on residents' consumption behavior includes:

[0117] The first determination module 10 is used to determine the carbon emissions corresponding to the household electricity consumption in the target area.

[0118] The second determination module 20 is used to determine the carbon emissions corresponding to the natural gas consumption of residents in the target area.

[0119] The third determination module 30 is used to determine the carbon emissions corresponding to the transportation consumption of residents in the target area.

[0120] The fourth determination module 40 is used to determine the carbon emissions corresponding to the housing consumption of residents in the target area.

[0121] The fifth determination module 50 is used to determine the carbon emissions corresponding to the clothing consumption of residents in the target area.

[0122] The sixth determination module 60 is used to determine the carbon emissions corresponding to the dietary consumption of residents in the target area.

[0123] The seventh determination module 70 is used to determine the carbon emissions corresponding to the consumption of equipment and supplies by residents in the target area.

[0124] The eighth determination module 80 is used to determine the carbon emissions corresponding to the cultural, educational and entertainment consumption of residents in the target area.

[0125] The carbon emission summing module 90 is used to sum the carbon emissions corresponding to all consumptions to obtain the total carbon emissions of residents in the target area.

[0126] For more specific working processes of the above modules, please refer to the corresponding contents disclosed in Example 1, which will not be repeated here.

[0127] Example 4

[0128] This embodiment provides a computer device, including a processor and a memory; wherein the processor implements the steps of the image fusion method based on the visual state space model described in Embodiment 1 when executing the computer program stored in the memory.

[0129] For more specific details of the above method, please refer to the corresponding contents disclosed in Example 1, which will not be repeated here.

[0130] Example 5

[0131] This embodiment provides a computer-readable storage medium for storing a computer program; when the computer program is executed by a processor, the steps of the image fusion method based on the visual state space model described in Embodiment 1 are implemented.

[0132] For more specific details of the above method, please refer to the corresponding contents disclosed in Example 1, which will not be repeated here.

[0133] Example 6

[0134] This embodiment provides a computer program product, including computer executable instructions or a computer program. When the computer executable instructions or the computer program are executed by a processor, the steps of the image fusion method based on the visual state space model described in Embodiment 1 are implemented.

[0135] For more specific details of the above method, please refer to the corresponding contents disclosed in Example 1, which will not be repeated here.

[0136] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the systems, devices, storage media, and computer program products disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0137] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention or some parts of the embodiments.

[0138] In some embodiments, computer executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0139] As an example, computer-executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file that stores other programs or data, such as in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0140] As an example, computer executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one site, or on multiple electronic devices distributed at multiple sites and interconnected by a communication network.

[0141] The present invention has been described in detail above in conjunction with specific implementations and exemplary examples, but these descriptions cannot be understood as limiting the present invention. Those skilled in the art understand that, without departing from the spirit and scope of the present invention, a variety of equivalent substitutions, modifications or improvements may be made to the technical solution of the present invention and its implementation methods, all of which fall within the scope of the present invention. The scope of protection of the present invention shall be subject to the attached claims.

Claims

1. A carbon emission accounting method based on residents' consumption behavior, characterized in that: include: Determine the carbon emissions corresponding to household electricity consumption in the target area; Determine the carbon emissions corresponding to residential natural gas consumption in the target area; Determine the carbon emissions corresponding to residents’ transportation consumption in the target area; Determine the carbon emissions corresponding to the housing consumption of residents in the target area; Determine the carbon emissions corresponding to residents’ clothing consumption in the target area; Determine the carbon emissions corresponding to the dietary consumption of residents in the target area; Determine the carbon emissions corresponding to the consumption of equipment and supplies by residents in the target area; Determine the carbon emissions corresponding to the cultural, educational and entertainment consumption of residents in the target area; The carbon emissions corresponding to all consumption are summed up to obtain the total carbon emissions of residents in the target area.

2. The carbon emission accounting method according to claim 1 is characterized in that: Determining the carbon emissions corresponding to household electricity consumption in the target area includes: Obtain the household electricity consumption E and the carbon emission coefficient ES of household electricity in the target area e ; The carbon emissions CE1 corresponding to household electricity consumption in the target area are calculated according to the following formula: CE1=E×ES e 。 3. The carbon emission accounting method according to claim 1, characterized in that: Determining the carbon emissions corresponding to the natural gas consumption of residents in the target area includes: Obtain the total natural gas consumption NG and the carbon content CC of natural gas per unit calorific value of residents in the target area ng 、Carbon oxidation rate of natural gas ng and the average lower calorific value (NCV) of natural gas ng ; The carbon emissions CE2 corresponding to the natural gas consumption of residents in the target area are calculated according to the following formula: CE2=NG×CC ng ×OF ng ×NCV ng ×(11 / 3)×10 -6 。 4. The carbon emission accounting method according to claim 1, characterized in that: Determining the carbon emissions corresponding to residents' transportation consumption in the target area includes: Obtain the monthly refueling volume G and the unit calorific value carbon content CC of the residents in the target area g 、Gasoline carbon oxidation rate OF g , the average lower calorific value (NCV) of gasoline g 、Residents’ monthly electric vehicle charging capacity E ec and the carbon emission coefficient ES of household electricity e ; The carbon emissions CE3 corresponding to residents’ transportation consumption in the target area are calculated according to the following formula: CE3=G×CC g ×OF g ×NCV g ×(11 / 3)×0.745×10 -6 +ES e ×E ec 。 5. The carbon emission accounting method according to claim 1, characterized in that: Determining the carbon emissions corresponding to the housing consumption of residents in the target area includes: Get the amount of housing consumption S of residents in the target area r And the carbon emission intensity ES corresponding to housing consumption r ; The carbon emissions CE4 corresponding to the residential housing consumption in the target area is calculated according to the following formula:

6. The carbon emission accounting method according to claim 1, characterized in that: Determining the carbon emissions corresponding to clothing consumption of residents in the target area includes: Get the amount of clothing consumption S of residents in the target area c And the carbon emission intensity ES corresponding to clothing consumption c ; The carbon emissions CE5 corresponding to residents’ clothing consumption in the target area is calculated according to the following formula: CE5=ES c ×S c 。 7. The carbon emission accounting method according to claim 1, characterized in that: Determining the carbon emissions corresponding to the dietary consumption of residents in the target area includes: Get the amount of food consumption S of residents in the target area f And the carbon emission intensity ES corresponding to clothing consumption f ; The carbon emissions CE6 corresponding to residents’ clothing consumption in the target area are calculated according to the following formula: CE6=ES f ×S f 。 8. The carbon emission accounting method according to claim 1, characterized in that: The carbon emissions corresponding to the consumption of equipment and supplies by residents in the target area are determined as follows: Get the amount of money S spent by residents in the target area on equipment and supplies d And the carbon emission intensity ES corresponding to equipment and supplies consumption d ; Calculate the carbon emissions CE7 corresponding to residents’ clothing consumption in the target area according to the following formula: CE7=ES d ×S d 。 9. The carbon emission accounting method according to claim 1, characterized in that: Determining the carbon emissions corresponding to the cultural, educational and entertainment consumption of residents in the target area includes: Get the amount of money S spent by residents in the target area on culture, education and entertainment a And the carbon emission intensity ES corresponding to equipment and supplies consumption a ; The carbon emissions CE8 corresponding to residents’ clothing consumption in the target area is calculated according to the following formula: CE8=ES a ×S a .

10. A method for generating a carbon emission profile, characterized in that: include: Normalizing the carbon emissions corresponding to each consumption obtained by the carbon emission accounting method based on residents' consumption behavior as described in any one of claims 1 to 9; According to the normalized carbon emissions corresponding to each consumption, the carbon emissions generated by the target residents in the target consumption behavior are scored and displayed in the form of a radar chart; The carbon emissions generated by the target residents in the target consumption behavior are scored according to the carbon emissions corresponding to each consumption after normalization, including: The carbon emission score generated by the target resident's target consumption behavior is calculated according to the following formula: in, is the carbon emission score generated by resident j in the kth consumption behavior; is the normalized mean of carbon emissions of the k-th consumption behavior; is the normalized value of carbon emissions generated by resident j in the kth type of consumption behavior; is the normalized maximum carbon emission of the k-th consumption behavior; It is the minimum value of the normalized carbon emissions of the k-th consumption behavior.

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