Three-in-one carbon footprint evaluation model construction method

Abstract

The invention discloses a three-in-one carbon footprint evaluation model construction method, and relates to the technical field of carbon footprint evaluation. The method comprises the following steps: obtaining a production industry and a production product in a carbon analysis area; producing discharge by using a product cycle analysis method; obtaining an industrial value chain, and dividing production products into closed products and interrupted products; a carbon footprint evaluation model is established, a product cycle analysis method is stored in the carbon footprint evaluation model, a chain carbon analysis method is constructed, and carbon footprint evaluation is carried out; the method is used for solving the problems that in an existing carbon footprint evaluation method, the analysis direction is one-sided, and the full-life-cycle carbon emission of the product cannot be effectively analyzed based on the production state of the product in the area, so that when carbon footprint evaluation is carried out on the area, a multi-dimensional collaborative evaluation system cannot be constructed to obtain the carbon emission data of the product; and therefore, the comprehensiveness and the evaluation precision of the regional carbon emission data can be remarkably improved, and the evaluation precision of the regional carbon emission data can be remarkably improved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of carbon footprint, and particularly relates to a trinity carbon footprint evaluation model construction method. BACKGROUND

[0002] The carbon footprint is an index for measuring the amount of carbon dioxide directly or indirectly caused by an individual, organization, product or country within a certain period of time; the calculation of the carbon footprint covers the emissions of a product or service throughout the life cycle from production, transportation, final use to disposal; this comprehensive evaluation method enables us to more accurately understand and evaluate the impact of human activities on the environment; by calculating and understanding the carbon footprint of an individual or organization, people can identify and implement strategies to reduce greenhouse gas emissions to combat global warming; trinity refers to the construction of a multi-dimensional collaborative system from the aspects of region, industry and product, which can effectively improve the comprehensiveness and accuracy of data analysis.

[0003] The existing method for carbon footprint evaluation is usually based on artificial intelligence, and the carbon footprint is calculated after the model is built, for example, building data of a building is collected to build a data set, an artificial intelligence and a machine learning are used to build a building structure prediction model, building characteristic values and carbon emission factors are obtained through the model, and the carbon emission of the building is estimated. Although this improved method can efficiently estimate the carbon emission through artificial intelligence and model building, the analysis direction is one-sided, and the carbon emission can only be estimated based on the state of the product in application, the whole life cycle carbon emission of the product cannot be effectively analyzed based on the production state of the product in the region, the carbon emission data of the product cannot be comprehensively obtained when the carbon footprint of the region is evaluated, and the carbon footprint evaluation is not accurate. For example, in the patent application with the publication number CN120106346A, a building representation carbon footprint estimation method and device based on artificial intelligence identification and speculation are disclosed, a building material prediction model based on deep learning is established, present situation data of a building to be evaluated is collected, building present situation characteristic values are obtained through the model, a carbon emission calculation model is constructed based on the building present situation characteristic values and carbon emission factors, and an estimated value of the carbon emission of the building is calculated. Other improvements for carbon footprint evaluation are usually improvements in carbon emission estimation during product use, and the analysis direction is still one-sided, a multi-dimensional collaborative evaluation system cannot be constructed to obtain the carbon emission data of the product, the whole life cycle carbon emission of the product cannot be effectively analyzed based on the production state of the product in the region, the carbon emission data of the product cannot be comprehensively obtained when the carbon footprint of the region is evaluated, data loss and distortion exist in the carbon footprint evaluation, and the carbon footprint evaluation is not accurate. Therefore, it is necessary to improve the existing carbon footprint evaluation method. SUMMARY

[0004] The present application aims to at least solve one of the technical problems in the prior art by proposing a trinity carbon footprint evaluation model construction method, which is used to solve the problem that the existing carbon footprint evaluation method is one-sided in analysis direction, cannot construct a multi-dimensional collaborative evaluation system to obtain product carbon emission data, and cannot effectively analyze the whole life cycle carbon emission of the product based on the production state of the product in the region, resulting in that the carbon footprint evaluation of the region cannot obtain the carbon emission data of the product comprehensively, causing the carbon footprint evaluation to have data missing and distortion, and leading to the problem that the carbon footprint evaluation is not accurate enough.

[0005] To achieve the above-mentioned purpose, the present application provides a trinity carbon footprint evaluation model construction method, comprising the following steps:

[0006] The region to be evaluated for carbon footprint is recorded as a carbon analysis region; all production industries in the carbon analysis region are obtained, and the production products of each production industry are obtained; the production emission of each production product is obtained using a product cycle analysis method;

[0007] Based on big data, the industry value chain of each production product is obtained, and all regional industries are screened based on the industry value chain, and the production products are divided into closed products and interrupted products based on the processing result;

[0008] A carbon footprint evaluation model is established, the product cycle analysis method is stored in the carbon footprint evaluation model, and the chain carbon analysis method is constructed, and the carbon footprint of the closed product or the interrupted product is evaluated based on the production emission of each closed product or interrupted product using the product cycle analysis method and the chain carbon analysis method.

[0009] Further, all production industries in the carbon analysis region are obtained, and the production products of each production industry are obtained; the production emission of each production product is obtained using a product cycle analysis method, comprising:

[0010] All production industries in the carbon analysis region are obtained and recorded as regional industries QC1 to regional industries QC n ; for any one regional industry, all products produced by the regional industry are recorded as production products of the regional industry; the production products of all regional industries are obtained, and the names of all production products are stored in a product name database, wherein the product name database is used to store product names;

[0011] For any one production product in the product name database, when the production product corresponds to only one regional industry, the production product is recorded as a single-source product; when the production product corresponds to multiple regional industries, the production product is recorded as a multi-source product.

[0012] Further, all production products recorded in the production name database are analyzed using the product cycle analysis method, and the production emission of each production product is obtained based on the product cycle analysis method, and the product cycle analysis method includes:

[0013] When the production product is a single-source product, the corresponding regional industry of the production product is recorded as a unit analysis industry; the production cycle of the unit analysis industry for the production product is obtained and recorded as T; the historical industry data of the unit analysis industry for the production product is obtained, and any one record of the historical industry data of the unit analysis industry at time T is intercepted, and the intercepted historical industry data is recorded as the unit analysis data of the unit analysis industry;

[0014] The unit analysis data is analyzed using the proportion emission analysis method, and the production emission of the production product is obtained based on the analysis result.

[0015] Further, the proportion emission analysis method includes:

[0016] All products in the unit analysis data except the production product are recorded as co-product, and the equipment existing in the production line of the production product is recorded as single-product equipment; the production line of all co-products is obtained, and when the single-product equipment does not exist in the production line of all co-products, the carbon emission of the single-product equipment in the unit analysis data is recorded as the single-cycle emission of the production product;

[0017] When the production line of any one co-product exists single-product equipment, the single-product equipment is recorded as multi-product equipment; the use time of the multi-product equipment when the production product is produced is recorded as t1, the total use time of the multi-product equipment is recorded as t2, and the value of t1 divided by t2 is recorded as the occupation proportion of the multi-product equipment.

[0018] Further, the proportion emission analysis method further includes:

[0019] Based on the production line of all co-products, all multi-product equipment in the single-product equipment of the production product is obtained, and the single-product equipment that is not recorded as multi-product equipment is recorded as single-product equipment;

[0020] The production emission of the production product is obtained using the emission analysis algorithm, and the emission analysis algorithm includes: Wherein, F is the production emission, r is the number of multi-product equipment corresponding to the production product, e is the number of single-product equipment corresponding to the production product, F i is the occupation proportion of the i-th multi-product equipment corresponding to the production product, G i is the carbon emission of the i-th multi-product equipment corresponding to the production product in the unit analysis data, K j is the single-cycle emission of the j-th single-product equipment in the unit analysis data;

[0021] A quantity of a production cycle of the unit analysis industry when producing the production product is denoted as v, and a product of v and a single-cycle emission quantity is denoted as a production emission quantity of the production product.

[0022] Further, the product cycle analysis method further comprises:

[0023] When the production product is a multi-source product, a plurality of regional industries corresponding to the production product are sequentially denoted as multi-source analysis industries DF1 to DF m , based on market valuations of the regional industries from small to large; a production cycle of each multi-source analysis industry for the production product is obtained and denoted as a characteristic production cycle of each multi-source analysis industry;

[0024] For any one multi-source analysis industry, any one characteristic production cycle a of the multi-source analysis industry for the production product is obtained, and historical production data corresponding to the characteristic production cycle a is obtained; the historical production data corresponding to the characteristic production cycle a is analyzed using the proportion emission analysis method, and an industrial emission quantity of the production product corresponding to the multi-source analysis industry is obtained based on an analysis result.

[0025] Further, the product cycle analysis method further comprises:

[0026] Industrial emission quantities of the production product corresponding to all multi-source analysis industries are obtained; a rectangular coordinate system is established and denoted as a multi-source integration analysis coordinate system, wherein coordinate points of an X-axis of the multi-source integration analysis coordinate system from the coordinate origin to the right are sequentially denoted as multi-source analysis industries DF1 to DF m , and a unit of a Y-axis is tCO2e;

[0027] Multi-source analysis industries DF1 to DF m are taken as horizontal coordinates, industrial emission quantities of the production product corresponding to the multi-source analysis industries are taken as vertical coordinates, and all points are marked in the multi-source integration analysis coordinate system, and all the points are fitted into a line segment denoted as a multi-source integration line segment; a horizontal coordinate of a midpoint of the multi-source integration line segment is denoted as a production emission quantity of the production product, wherein horizontal coordinates of leftmost and rightmost points of the multi-source integration line segment are 0 and DF m , respectively.

[0028] Further, based on big data, an industrial value chain of each production product is obtained, all regional industries are processed based on the industrial value chain, and dividing the production product into a closed product and an interrupted product based on a processing result comprises:

[0029] For a production product of any one regional industry, an industrial value chain of the production product is obtained based on big data, and all industries existing in the industrial value chain of the production product are sequentially denoted as chain industries LC1 to LC zwherein 1 to z are the numbers of the chain industries;

[0030] The screening process is performed on each chain industry in sequence, and the screening process includes: when there is a chain industry in all regional industries in the carbon analysis region, the chain industry is recorded as a screened industry; and when there is no chain industry in all regional industries in the carbon analysis region, the chain industry is recorded as an interrupted industry.

[0031] Further, the dividing the production product into the closed product and the interrupted product based on the processing result includes:

[0032] When the chain industry LC1 to the chain industry LC z are all recorded as the screened industries, the production product is recorded as the closed product;

[0033] When there is an interrupted industry in the chain industry LC1 to the chain industry LC z , the number of the chain industry recorded as the interrupted industry earliest is recorded as b, the value of (b-1) / z is recorded as the chain proportion, and the production product is recorded as the interrupted product.

[0034] Further, a carbon footprint evaluation model is established, the product cycle analysis method and the chain carbon analysis method are stored in the carbon footprint evaluation model and constructed, and the carbon footprint of each closed product or interrupted product is evaluated based on the production emission of the closed product or interrupted product using the product cycle analysis method and the chain carbon analysis method.

[0035] The carbon footprint evaluation model is established, and the product cycle analysis method and the chain carbon analysis method are stored in the carbon footprint evaluation model and constructed;

[0036] The chain carbon analysis method includes: for the closed product to be evaluated, the proportion of the carbon emission of the closed product in the production stage to the carbon emission of the industrial value chain of the closed product is obtained based on big data and recorded as p, and the production emission of the closed product is divided by the value of p to obtain the carbon emission corresponding to the carbon footprint of the closed product in the carbon analysis region.

[0037] For the interrupted product to be evaluated, the proportion of the carbon emission of the interrupted product in the production stage to the carbon emission of the industrial value chain of the interrupted product is obtained based on big data and recorded as p; the production emission of the interrupted product is divided by the value of p to obtain the total chain emission; and the value of (total chain emission-production emission)×chain proportion+production emission is recorded as the carbon emission corresponding to the carbon footprint of the interrupted product in the carbon analysis region.

[0038] The application first records the area to be evaluated for carbon footprint as a carbon analysis area; obtains all production industries in the carbon analysis area, and obtains the production products of each production industry; obtains the production emissions of each production product using the product cycle analysis method, which has the advantages that by analyzing all production industries in the carbon analysis area and obtaining the production emissions of the production products, the carbon emissions corresponding to a production cycle when the regional industries in the carbon analysis area produce the production products can be obtained, which helps to analyze the whole life cycle carbon emissions of the production products in the carbon analysis area based on the production emissions of the production products in subsequent analysis, so that the carbon footprint evaluation model built can comprehensively obtain the carbon emission data of the products when evaluating the carbon footprint of the region, and improve the accuracy of the carbon footprint evaluation.

[0039] The application also obtains the industry value chain of each production product based on big data, and filters all regional industries based on the industry value chain, and obtains the division of the production products into closed products and interrupted products based on the processing result; finally, a carbon footprint evaluation model is established, the product cycle analysis method and the chain carbon analysis method are stored in the carbon footprint evaluation model, and the carbon footprint of each closed product or interrupted product is evaluated using the product cycle analysis method and the chain carbon analysis method based on the production emissions of each closed product or interrupted product, which has the advantages that by dividing the production products into closed products and interrupted products, the proportion of the whole life cycle carbon emissions of the production products in the carbon analysis area can be obtained, so that the whole life cycle carbon emissions of the production products in the carbon analysis area can be obtained, and the carbon emission data of the production products in the carbon analysis area can be more comprehensively obtained, and the carbon footprint evaluation precision is improved. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 The step flow chart of the method of the application;

[0041] Figure 2 The schematic diagram of the multi-source integrated analysis coordinate system of the application;

[0042] Figure 3 The analysis schematic diagram of the chain proportion of the application;

[0043] Figure 4 The structural schematic diagram of the electronic device of the application. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.

[0045] Embodiment 1, first aspect, please refer to Figure 1 As shown in the figure, the application provides a trinity carbon footprint evaluation model construction method, comprising the following steps:

[0046] Step S1, the region to be evaluated for carbon footprint is recorded as a carbon analysis region; all production industries in the carbon analysis region are obtained, and the production products of each production industry are obtained; the production emission of each production product is obtained using the product cycle analysis method;

[0047] Step S1 includes: step 101, obtaining all production industries in the carbon analysis region, and recording them as regional industries QC1 to regional industries QC n ; for any one regional industry, all products produced by the regional industry are recorded as production products of the regional industry; the production products of all regional industries are obtained, and the names of all production products are stored in a product name database, wherein the product name database is used to store product names;

[0048] Step 102, for any one production product in the product name database, when the production product corresponds to only one regional industry, the production product is recorded as a single-source product; when the production product corresponds to multiple regional industries, the production product is recorded as a multi-source product;

[0049] In the specific implementation process, for example, in a data analysis, for the production product book, if there is only one regional industry in the carbon analysis region to produce books, the book can be recorded as a single-source product and subsequent analysis can be performed; if there are multiple regional industries in the carbon analysis region to produce books, in order to consider the carbon emission of books in multiple regional industries, the book should be recorded as a multi-source product and subsequent analysis should be performed;

[0050] Step 103, all production products recorded in the product name database are analyzed using the product cycle analysis method, and the production emission corresponding to each production product is obtained based on the product cycle analysis method, the product cycle analysis method comprising:

[0051] Step S1031, when the production product is a single-source product, the regional industry corresponding to the production product is recorded as a unit analysis industry; the production cycle of the unit analysis industry for the production product is obtained and recorded as T; the historical industry data of the unit analysis industry when producing the production product is obtained, and any one record time T historical industry data in the historical industry data of the unit analysis industry is intercepted, and the intercepted historical industry data is recorded as unit analysis data of the unit analysis industry;

[0052] Step S1032, the unit analysis data is analyzed using the proportion emission analysis method, and the production emission of the production product is obtained based on the analysis result;

[0053] In the specific implementation process, the production emission amount of the production product obtained by the embodiment is the carbon emission amount corresponding to a production cycle when the production product is produced, and therefore the time indicated by T is the time corresponding to the production cycle of the production product; in actual analysis, if the historical industrial data corresponding to a production cycle cannot be effectively obtained, the time indicated by T can be modified based on the existing data;

[0054] Step S1033, the proportion emission analysis method includes: step S10331, all products other than the production product in the unit analysis data are recorded as co-product, and the equipment existing in the production line of the production product is recorded as single-product equipment; the production line of all co-products is obtained, and when the single-product equipment does not exist in the production line of all co-products, the carbon emission amount of the single-product equipment in the unit analysis data is recorded as the single-cycle emission amount of the production product;

[0055] In the specific implementation process, when the single-product equipment does not exist in the production line of all co-products, it indicates that all single-product equipment is running for manufacturing the production product, and therefore the carbon emission amount of the single-product equipment in the unit analysis data can be taken as the single-cycle emission amount of the production product when the production product is produced;

[0056] Step S10332, when the single-product equipment exists in the production line of any co-product, the single-product equipment is recorded as multi-product equipment; the use time of the multi-product equipment when the production product is produced is recorded as t1, the total use time of the multi-product equipment is recorded as t2, and the value of t1 divided by t2 is recorded as the occupation proportion of the multi-product equipment;

[0057] Step S10333, all multi-product equipment in the single-product equipment of the production product is obtained based on the production line of all co-products, and the single-product equipment that is not recorded as multi-product equipment is recorded as single-product equipment;

[0058] Step S10334, the production emission amount of the production product is obtained by using an emission analysis algorithm, and the emission analysis algorithm includes: Wherein, F is the production emission amount, r is the number of multi-product equipment corresponding to the production product, e is the number of single-product equipment corresponding to the production product, F i is the occupation proportion of the i th multi-product equipment corresponding to the production product, G i is the carbon emission amount of the i th multi-product equipment corresponding to the production product in the unit analysis data, K j is the single-cycle emission amount of the j th single-product equipment in the unit analysis data;

[0059] In the implementation process, for example, in a data analysis, the number of multi-production equipment corresponding to the production product and the number of single-production equipment are 2 and 1 respectively, and the occupation ratio of the multi-production equipment is 0.4 and 0.7 respectively; the carbon emission of the multi-production equipment in unit analysis data is 0.1tCO2e and 0.2tCO2e respectively, and the single-period emission of the single-production equipment in unit analysis data is 0.5tCO2e, then through analysis, the production emission is 0.68tCO2e;

[0060] Step S10335, the number of production cycles of the unit analysis industry when producing the production product is recorded as v, and the product of v and the single-period emission is recorded as the production emission of the production product.

[0061] The product cycle analysis method further comprises: step S1034, when the production product is a multi-source product, the plurality of regional industries corresponding to the production product are sequentially recorded as multi-source analysis industries DF1 to multi-source analysis industries DFm based on the market value of the regional industries from small to large; the production cycle of each multi-source analysis industry for the production product is obtained and recorded as the characteristic production cycle of each multi-source analysis industry respectively;

[0062] In the implementation process, because the production cycle of the same production product in multiple regional industries is usually different, but because the scheme is to analyze the production product in the analysis region, therefore, the average value of the carbon emission of the production product in one production cycle in one regional industry in the carbon analysis region, that is, the production emission of the production product, can be obtained by establishing a multi-source integrated analysis coordinate system to obtain the carbon emission of the production product in one production cycle in one regional industry in the carbon analysis region, so as to achieve the purpose of providing method support for analyzing carbon footprint in the carbon footprint evaluation model;

[0063] Step S1035, for any one multi-source analysis industry: obtaining any one characteristic production cycle a of the multi-source analysis industry when producing the production product, and obtaining the historical production data corresponding to the characteristic production cycle a; using the proportion emission analysis method to analyze the historical production data corresponding to the characteristic production cycle a, and based on the analysis result, obtaining the industrial emission of the production product corresponding to the multi-source analysis industry;

[0064] Step S1036, obtaining the industrial emission of the production product corresponding to all multi-source analysis industries; establishing a plane rectangular coordinate system, recorded as a multi-source integrated analysis coordinate system, wherein the coordinate points of the X-axis of the multi-source integrated analysis coordinate system from the coordinate origin to the right are sequentially recorded as the multi-source analysis industries DF1 to DFm, and the unit of the Y-axis is tCO2e;

[0065] In the implementation process, for example, in a data analysis, the obtained multi-source integrated analysis coordinate system is as follows Figure 2As shown in the figure, the number of multi-source analysis industries is 5, the points C1 to C5 are points in the multi-source integration analysis coordinate system with the multi-source analysis industries DF1 to DF5 as the horizontal coordinates and the industrial emission of the production products corresponding to the multi-source analysis industries as the vertical coordinates, the line segment DZ is a multi-source integration line segment, and the point DD is the midpoint of the line segment DZ, and the production emission is 1 tCO2e. The purpose of obtaining the multi-source integration line segment is to obtain the carbon emission of a production cycle of the production products in a regional industry in the carbon analysis region from the vertical coordinate of the midpoint of the multi-source integration line segment. If the total carbon emission of a production cycle of the production products in all multi-source analysis industries in the carbon analysis region needs to be obtained subsequently, the vertical coordinate of the midpoint of the multi-source integration line segment can be multiplied by the number of multi-source analysis industries.

[0066] In step S1037, the multi-source analysis industries DF1 to DF m are taken as the horizontal coordinates, the industrial emission of the production products corresponding to the multi-source analysis industries is taken as the vertical coordinates, and all the points are marked in the multi-source integration analysis coordinate system, and all the points are fitted into a line segment, which is recorded as a multi-source integration line segment. The horizontal coordinate of the midpoint of the multi-source integration line segment is recorded as the production emission of the production products, wherein the horizontal coordinates of the leftmost point and the rightmost point of the multi-source integration line segment are 0 and the number of multi-source analysis industries DF m , respectively.

[0067] In the specific implementation process, by obtaining the production emission of the production products, the carbon emission corresponding to a production cycle of the production products in a regional industry in the carbon analysis region can be obtained.

[0068] In step S2, the industrial value chain of each production product is obtained based on big data, all regional industries are processed based on the industrial value chain, and the production products are divided into closed products and interrupted products based on the processing result.

[0069] Step S2 includes: in step S201, for the production products of any regional industry: the industrial value chain of the production products is obtained based on big data, and all the industries existing in the industrial value chain of the production products are sequentially recorded as chain industries LC1 to LC z , wherein 1 to z are the numbers of the chain industries.

[0070] In step S202, each chain industry is processed sequentially, and the processing includes: when the chain industry exists in all the regional industries in the carbon analysis region, the chain industry is recorded as a screened industry; and when the chain industry does not exist in all the regional industries in the carbon analysis region, the chain industry is recorded as an interrupted industry.

[0071] In step S203, when the chain industries LC1 to LC zWhen the chain industries LC1 to LC5 are all recorded as screened industries, the production product is recorded as a closed product;

[0072] Step S204, when the chain industries LC1 to LC5 exist in the interrupted industry, the number of the chain industry recorded as the interrupted industry is recorded as b, the value of (b-1) / z is recorded as the chain proportion, and the production product is recorded as an interrupted product; z Step S204, when the chain industries LC1 to LC5 exist in the interrupted industry, the number of the chain industry recorded as the interrupted industry is recorded as b, the value of (b-1) / z is recorded as the chain proportion, and the production product is recorded as an interrupted product;

[0073] In the specific implementation process, for example, in one data analysis, the number of chain industries is 5, and the marking state of the chain industries LC1 to LC5 after screening processing is as shown in Figure 3 , wherein the value of b is 3 and the chain proportion is 0.4 obtained by analysis.

[0074] Step S3, establishing a carbon footprint evaluation model, storing the product cycle analysis method and constructing the chain carbon analysis method in the carbon footprint evaluation model, and using the product cycle analysis method and the chain carbon analysis method based on the production emission of each closed product or interrupted product to evaluate the carbon footprint of the closed product or interrupted product;

[0075] Step S3 includes: step S301, establishing a carbon footprint evaluation model, and storing the product cycle analysis method and constructing the chain carbon analysis method in the carbon footprint evaluation model;

[0076] Step S302, the chain carbon analysis method includes: for the closed product to be evaluated, based on big data, obtaining the proportion of the carbon emission of the closed product in the production stage to the carbon emission of the industrial value chain of the closed product, and recording it as p; dividing the production emission of the closed product by the value of p to obtain the carbon emission corresponding to the carbon footprint of the closed product in the carbon analysis area;

[0077] For the interrupted product to be evaluated, based on big data, obtaining the proportion of the carbon emission of the interrupted product in the production stage to the carbon emission of the industrial value chain of the interrupted product, and recording it as p; dividing the production emission of the interrupted product by the value of p to obtain the total chain emission; and recording the value of (total chain emission-production emission)×chain proportion+production emission as the carbon emission corresponding to the carbon footprint of the interrupted product in the carbon analysis area;

[0078] In the specific implementation process, for example, in one data analysis, the production emission of the interrupted product is 1tCO2e, the chain proportion is 0.4, the proportion of the carbon emission of the interrupted product in the production stage to the carbon emission of the industrial value chain of the interrupted product is 0.7, and the total chain emission is about 1.43, so that the carbon emission corresponding to the carbon footprint of the interrupted product in the carbon analysis area is 1.172tCO2e obtained by calculation.

[0079] Embodiment 2, please refer to Figure 4 , and Figure 4An example is shown in a structural diagram of an electronic device, which can include a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete the communication among each other through the communication bus. The memory stores computer readable instructions, and the processor can call the instructions in the memory, and when the computer readable instructions are executed by the processor, the steps in a trinity carbon footprint assessment model construction method are run to realize the following functions: first, record the area to be assessed for carbon footprint as a carbon analysis area; obtain all production industries in the carbon analysis area, and obtain the production products of each production industry; use the product cycle analysis method to obtain the production emissions of each production product; then, based on big data, obtain the industry value chain of each production product, and based on the industry value chain, screen all regional industries, and based on the processing result, obtain the division of production products into closed products and interrupted products; finally, establish a carbon footprint assessment model, store the product cycle analysis method in the carbon footprint assessment model and construct the chain carbon analysis method, and based on the production emissions of each closed product or interrupted product, use the product cycle analysis method and the chain carbon analysis method to assess the carbon footprint of the closed product or interrupted product.

[0080] In addition, the logical instructions in the memory described above can be implemented in the form of a software functional unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0081] Embodiment 3, the present application also provides a computer program product, the computer program product includes a computer program stored on a computer readable storage medium, the computer program includes program instructions, when the program instructions are executed by a computer, the computer can execute a trinity carbon footprint assessment model construction method provided by each method, the method includes: first, record a region to be assessed for carbon footprint as a carbon analysis region; obtain all production industries in the carbon analysis region, and obtain production products of each production industry; obtain the production emissions of each production product using the product cycle analysis method; then, based on big data, obtain the industry value chain of each production product, and based on the industry value chain, screen all regional industries, and based on the processing result, obtain the division of production products into closed products and interrupted products; finally, establish a carbon footprint assessment model, store the product cycle analysis method and construct the chain carbon analysis method in the carbon footprint assessment model, and use the product cycle analysis method and the chain carbon analysis method to assess the carbon footprint of each closed product or interrupted product based on the production emissions of each closed product or interrupted product.

[0082] Embodiment 4, the present application also provides a computer readable storage medium, the present application provides a storage medium, which stores a computer program, when the computer program is executed by a processor, the steps in the above trinity carbon footprint assessment model construction method are run to realize the following functions: first, record a region to be assessed for carbon footprint as a carbon analysis region; obtain all production industries in the carbon analysis region, and obtain production products of each production industry; obtain the production emissions of each production product using the product cycle analysis method; then, based on big data, obtain the industry value chain of each production product, and based on the industry value chain, screen all regional industries, and based on the processing result, obtain the division of production products into closed products and interrupted products; finally, establish a carbon footprint assessment model, store the product cycle analysis method and construct the chain carbon analysis method in the carbon footprint assessment model, and use the product cycle analysis method and the chain carbon analysis method to assess the carbon footprint of each closed product or interrupted product based on the production emissions of each closed product or interrupted product.

[0083] Through the description of the above embodiments, the embodiments of the present application can be provided as a method, a system or a computer program product. Based on such understanding, the above technical solutions essentially or say the part of the prior art that makes a contribution can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the method described in each embodiment or some part of the embodiment.

[0084] In the embodiments of the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are only illustrative, for example, the division of modules or units is only a logical function division, and other division manners can be used in actual implementation, for example, a plurality of modules or units can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some communication interface, the indirect coupling or communication connection between the system, the module and the unit can be electrical, mechanical or other forms.

[0085] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for constructing a triadic carbon footprint assessment model, characterized by, The method comprises the following steps: An area to be evaluated for carbon footprint is recorded as a carbon analysis area; all production industries in the carbon analysis area are obtained, and production products of each production industry are obtained; production emission of each production product is obtained using a product cycle analysis method; An industry value chain of each production product is obtained based on big data, and all regional industries are screened based on the industry value chain, and the production products are divided into closed products and interrupted products based on the processing result; A carbon footprint evaluation model is established, the product cycle analysis method is stored in the carbon footprint evaluation model, and a chain carbon analysis method is constructed, and the carbon footprint of each closed product or interrupted product is evaluated using the product cycle analysis method and the chain carbon analysis method based on the production emission of each closed product or interrupted product.

2. The method according to claim 1, wherein, All production industries in the carbon analysis area are obtained, and production products of each production industry are obtained; The production emission of each production product is obtained using the product cycle analysis method, which comprises: Obtain all production industries in the carbon analysis region, and mark them as regional industry QC1 to regional industry QC respectively n ; for any one regional industry, mark all products produced by the regional industry as production products of the regional industry; obtain all production products of all regional industries, and store the names of all production products in a product name database, wherein the product name database is used to store product names; For any production product in the production name database, if the production product corresponds to only one regional industry, the production product is recorded as a single-source product; if the production product corresponds to multiple regional industries, the production product is recorded as a multi-source product.

3. The method according to claim 2, wherein, The product cycle analysis method is used to analyze all production products recorded in the production name database, and the production emission corresponding to each production product is obtained based on the product cycle analysis method, the product cycle analysis method comprising: When the production product is a single-source product, the regional industry corresponding to the production product is recorded as a unit analysis industry; the production cycle of the unit analysis industry for the production product is obtained and recorded as T; the historical industry data of the unit analysis industry for the production product is obtained, and any historical industry data of the unit analysis industry with a record time of T in the historical industry data of the unit analysis industry is intercepted, and the intercepted historical industry data is recorded as unit analysis data of the unit analysis industry; The unit analysis data is analyzed using the proportion emission analysis method, and the production emission of the production product is obtained based on the analysis result.

4. The trinity carbon footprint assessment model construction method according to claim 3, characterized in that, The proportion emission analysis method comprises: All products in the unit analysis data except the production product are recorded as co-product, and the equipment existing in the production line of the production product is recorded as single-product equipment; the production line of all co-products is obtained, and when the single-product equipment does not exist in the production line of all co-products, the carbon emission of the single-product equipment in the unit analysis data is recorded as the single-cycle emission of the production product; When the single-product equipment exists in the production line of any co-product, the single-product equipment is recorded as multi-product equipment; the use time of the multi-product equipment when the production product is produced is recorded as t1, the total use time of the multi-product equipment is recorded as t2, and the value of t1 divided by t2 is recorded as the occupation proportion of the multi-product equipment.

5. The method according to claim 4, wherein, The proportion emission analysis method further comprises: All multi-product equipment in the single-product equipment of the production product is obtained based on the production line of all co-products, and the single-product equipment that is not recorded as multi-product equipment is recorded as single-product equipment; The production emission of the production product is obtained by using an emission analysis algorithm, and the emission analysis algorithm comprises: Wherein, F is the production emission, r is the number of multi-production equipment corresponding to the production product, e is the number of single-production equipment corresponding to the production product, F i is the occupation proportion of the i th multi-production equipment corresponding to the production product, G i is the carbon emission of the i th multi-production equipment corresponding to the production product in the unit analysis data, K j is the single-period emission of the j th single-production equipment in the unit analysis data; The number of production cycles of the unit analysis industry for the production product is recorded as v, and the product of v and the single-cycle emission is recorded as the production emission of the production product.

6. The method according to claim 5, wherein, The product cycle analysis method further comprises: When the production product is a multi-source product, the multiple regional industries corresponding to the production product are sequentially recorded as multi-source analysis industries DF1 to multi-source analysis industries DF based on the market valuation of the regional industries from small to large m ; and the production cycle of each multi-source analysis industry for the production product is obtained and recorded as the characteristic production cycle of each multi-source analysis industry respectively; For any one multi-source analysis industry: obtain any one feature production cycle α of the multi-source analysis industry when producing the production product, and obtain the historical production data corresponding to the feature production cycle α; use the proportion emission analysis method to analyze the historical production data corresponding to the feature production cycle α, and obtain the industrial emission of the production product corresponding to the multi-source analysis industry based on the analysis result.

7. The method according to claim 6, wherein, The product cycle analysis method further comprises: Obtaining the industrial emission of the production product corresponding to all multi-source analysis industries; establishing a plane rectangular coordinate system, denoted as a multi-source integration analysis coordinate system, wherein the X-axis of the multi-source integration analysis coordinate system is sequentially denoted as multi-source analysis industry DF1 to multi-source analysis industry DF m , and the unit of the Y-axis is tCO2e; The multi-source analysis industry DF1 to the multi-source analysis industry DF m The multi-source analysis industry DF1 to the multi-source analysis industry DF m .

8. The method according to claim 7, wherein, Based on big data, obtain the industrial value chain of each production product, and based on the industrial value chain, screen all regional industries, and based on the processing result, divide the production product into closed products and interrupted products, including: For any one regional industry production product: based on big data to obtain the production product industry value chain, and all the industries existing in the production product industry value chain are sequentially recorded as chain industry LC1 to chain industry LC z Wherein, 1 to z is the number of chain industry; Screen each chain industry in turn, and the screening process includes: when there is a chain industry in all regional industries in the carbon analysis area, the chain industry is recorded as a screened industry, and when there is no chain industry in all regional industries in the carbon analysis area, the chain industry is recorded as an interrupted industry.

9. The method according to claim 8, wherein, Based on the processing result, the production product is divided into closed products and interrupted products, including: When the chain industry LC1 to the chain industry LC z are all recorded as screened industries, the production product is recorded as a closed product; When there is an interrupt industry LC1 to LC z When there is an interrupt industry, the number of the chain industry that is recorded earliest as the interrupt industry is recorded as b, the value of (b-1) / z is recorded as the chain share, and the product produced is recorded as the interrupt product.

10. The method according to claim 9, wherein, Establish a carbon footprint evaluation model, store the product cycle analysis method in the carbon footprint evaluation model, and construct a chain carbon analysis method, and use the product cycle analysis method and the chain carbon analysis method to evaluate the carbon footprint of each closed product or interrupted product based on the production emission of each closed product or interrupted product, including: Establish a carbon footprint evaluation model, and store the product cycle analysis method in the carbon footprint evaluation model and construct a chain carbon analysis method; The chain carbon analysis method comprises: for the closed product to be evaluated, based on big data, obtain the proportion of the carbon emission of the closed product in the production stage to the carbon emission of the industrial value chain of the closed product, and record it as p, and divide the production emission of the closed product by the value of p to obtain the carbon emission corresponding to the carbon footprint of the closed product in the carbon analysis area; For the interrupted product to be evaluated, based on big data, obtain the proportion of the carbon emission of the interrupted product in the production stage to the carbon emission of the industrial value chain of the interrupted product, and record it as p; divide the production emission of the interrupted product by the value of p to obtain the total chain emission, and record the value of (total chain emission-production emission) × chain proportion + production emission as the carbon emission corresponding to the carbon footprint of the interrupted product in the carbon analysis area.

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