Pollution reduction and carbon reduction cooperative benefit evaluation method and system, electronic equipment and storage medium

Abstract

The invention discloses a pollution reduction and carbon reduction cooperative benefit evaluation method and system, electronic equipment and a storage medium, and the method comprises the steps: carrying out the calculation of life cycle emission data through a carbon pollution cooperative calculation model according to each life cycle link, and obtaining the carbon pollution emission data before and after the application of a preset pollution reduction and carbon reduction strategy; life cycle emission change data is obtained through calculation according to the life cycle emission data, standardization processing is carried out, preset emission reduction effect indexes are obtained through calculation according to the obtained emission change standard value, and the preset emission reduction effect indexes comprise the atmospheric pollutant emission reduction effect index and the carbon dioxide emission reduction effect index; and performing emission reduction benefit evaluation analysis through a preset quadrant analysis method according to the atmospheric pollutant emission reduction effect index and the carbon dioxide emission reduction effect index to obtain a pollution reduction and carbon reduction cooperative benefit evaluation result. According to the embodiment of the invention, the accuracy of pollution-reducing and carbon-reducing performance evaluation can be improved, and pollution-reducing and carbon-reducing cooperative benefit evaluation before and after the pollution-reducing and carbon-reducing strategy is applied is realized. The method can be widely applied to the technical field of energy conservation and environmental protection.

Description

Technical Field

[0001] This application relates to the field of energy conservation and environmental protection technology, and in particular to a method, system, electronic device and storage medium for evaluating the synergistic benefits of pollution reduction and carbon reduction. Background Technology

[0002] Currently, evaluation methods for the synergistic effects of pollution reduction and carbon reduction are mostly macro-level, assessing the effects of macro-policies and measures before and after their implementation, or focusing on specific industries and using industry-specific indicators to analyze the effectiveness of pollution reduction and carbon reduction before and after industry transformation. While related assessment techniques can be used to evaluate the effects of pollution reduction and carbon reduction, such as the promotion of new energy vehicles replacing traditional fuel vehicles, their accuracy in assessing the synergistic performance of pollution reduction and carbon reduction is low, and therefore they cannot evaluate the synergistic benefits of pollution reduction and carbon reduction brought about by the application of a particular technology.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the Invention

[0004] The main objective of this application is to propose a method, system, electronic device, and storage medium for evaluating the synergistic benefits of pollution reduction and carbon reduction, which can effectively improve the accuracy of evaluating the synergistic performance of pollution reduction and carbon reduction, and realize the evaluation of the synergistic benefits of pollution reduction and carbon reduction before and after the application of pollution reduction and carbon reduction strategies.

[0005] To achieve the above objectives, one aspect of this application proposes a method for evaluating the synergistic benefits of pollution reduction and carbon reduction, the method comprising the following steps:

[0006] The life cycle emission data is calculated using a carbon pollution co-calculation model based on each stage of the life cycle; wherein, the life cycle emission data includes carbon pollution emission data before and after the application of preset pollution reduction and carbon reduction strategies;

[0007] Life cycle emission change data are calculated based on the life cycle emission data;

[0008] The life cycle emission change data is standardized, and then a preset emission reduction effect index is calculated based on the obtained emission change standard value; wherein, the preset emission reduction effect index includes an air pollutant emission reduction effect index and a carbon dioxide emission reduction effect index;

[0009] Based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index, the emission reduction benefit assessment analysis is performed using the preset quadrant analysis method to obtain the evaluation results of the synergistic benefit of pollution reduction and carbon reduction.

[0010] In some embodiments, the step of calculating lifecycle emission data based on each lifecycle stage using a carbon-pollution co-calculation model includes:

[0011] The product life cycle is divided into several life cycle stages; wherein, the life cycle stages include the material production and processing stage, the component processing and manufacturing stage, the product assembly and manufacturing stage, the component and material recycling and regeneration stage, and the vehicle use stage;

[0012] The emissions of each life cycle stage before the application of the preset pollution reduction and carbon reduction strategy are calculated by using a preset emission calculation formula to obtain the emission data before the strategy.

[0013] The emissions of each stage of the life cycle after applying the preset pollution reduction and carbon reduction strategy are calculated using the preset emission calculation formula to obtain the emission data after the strategy.

[0014] In some embodiments, calculating lifecycle emission change data based on the lifecycle emission data includes:

[0015] Calculate the stage change data for each stage of the life cycle based on the pre-strategy emission data and the post-strategy emission data;

[0016] The life cycle emission change data are calculated based on the change data of each of the aforementioned stages.

[0017] In some embodiments, the standardization process based on the lifecycle emission change data, and the subsequent calculation of a preset emission reduction effect index based on the obtained emission change standard value, includes:

[0018] The standard value of emission change is calculated based on the life cycle emission change data and the corresponding standardized benchmark value;

[0019] The air pollutant emission reduction effect index is calculated based on the emission change standard value and the preset air pollutant emission reduction importance weight data;

[0020] The carbon dioxide emission reduction effect index is calculated based on the standard value of emission change and the preset carbon dioxide emission reduction importance weight data.

[0021] In some embodiments, the step of conducting emission reduction benefit assessment analysis based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index using a preset quadrant analysis method to obtain the pollution reduction and carbon reduction synergistic benefit assessment result includes:

[0022] A preset emission reduction effect parameter is used as a coordinate axis to construct a preset quadrant diagram; wherein, the preset emission reduction effect parameter corresponds to the preset emission reduction effect index, and the preset emission reduction effect parameter includes air pollutant emission reduction effect parameter and carbon dioxide emission reduction effect parameter;

[0023] Based on the air pollutant emission reduction effect index, the carbon dioxide emission reduction effect index, and the preset quadrant diagram, the emission reduction benefit assessment analysis is performed to obtain the evaluation result of the synergistic benefit of pollution reduction and carbon reduction.

[0024] In some embodiments, the step of conducting emission reduction benefit assessment and analysis based on the air pollutant emission reduction effect index, the carbon dioxide emission reduction effect index, and the preset quadrant chart to obtain the evaluation result of the synergistic benefit of pollution reduction and carbon reduction includes:

[0025] Based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index, the intersection point of the emission reduction effect index is determined, and then the intersection point of the emission reduction effect index is marked on the preset quadrant map to obtain the preset quadrant distribution information;

[0026] The emission reduction benefits are evaluated and analyzed by using the preset quadrant distribution information, and the evaluation results of the synergistic benefits of pollution reduction and carbon reduction are obtained.

[0027] In some embodiments, after performing the emission reduction benefit assessment analysis based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index using a preset quadrant analysis method to obtain the pollution reduction and carbon reduction synergistic benefit assessment result, the method further includes:

[0028] The life cycle emission data and the preset quadrant distribution information are visualized using a preset data visualization strategy to obtain visualization charts; wherein, the visualization charts include interactive charts.

[0029] To achieve the above objectives, another aspect of this application proposes a pollution reduction and carbon reduction synergistic benefit evaluation system, the system comprising:

[0030] The first module is used to calculate life cycle emission data based on each stage of the life cycle using a carbon pollution co-calculation model; wherein, the life cycle emission data includes carbon pollution emission data before and after the application of preset pollution reduction and carbon reduction strategies;

[0031] The second module is used to calculate life cycle emission change data based on the life cycle emission data.

[0032] The third module is used to standardize the life cycle emission change data and then calculate the preset emission reduction effect index based on the obtained emission change standard value; wherein, the preset emission reduction effect index includes the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index;

[0033] The fourth module is used to conduct emission reduction benefit assessment analysis based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index using a preset quadrant analysis method, and obtain the assessment result of the synergistic benefit of pollution reduction and carbon reduction.

[0034] To achieve the above objectives, another aspect of this application provides an electronic device, the electronic device comprising:

[0035] At least one processor;

[0036] At least one memory for storing at least one program;

[0037] When the at least one program is executed by the at least one processor, the at least one processor performs the method described above.

[0038] To achieve the above-mentioned purpose, another aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above-mentioned method when executed by a processor.

[0039] The embodiments of this application include at least the following beneficial effects: This application provides a method, system, electronic device, and storage medium for evaluating the synergistic benefits of pollution reduction and carbon reduction. This scheme calculates lifecycle emission data, including carbon emission data before and after the application of a preset pollution reduction and carbon reduction strategy, based on a carbon-pollution synergy calculation model at each stage of the lifecycle. Then, lifecycle emission change data is calculated based on the lifecycle emission data. Next, the embodiments of this invention perform standardization processing on the lifecycle emission change data, and then calculate a preset emission reduction effect index, including an air pollutant emission reduction effect index and a carbon dioxide emission reduction effect index, based on the obtained emission change standard values. Then, emission reduction benefit evaluation analysis is performed using a preset quadrant analysis method based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index, obtaining the pollution reduction and carbon reduction synergistic benefit evaluation result, thus realizing the evaluation of the pollution reduction and carbon reduction synergistic benefits before and after the application of the pollution reduction and carbon reduction strategy. It is easily understood that the embodiments of this invention calculate carbon emissions within the lifecycle through a carbon-pollution synergy approach, which simplifies the calculation process and simultaneously outputs the change results of air pollutants and carbon dioxide, facilitating subsequent evaluation of the synergistic performance of pollution reduction and carbon reduction. Meanwhile, by introducing the atmospheric pollutant emission reduction effect index and the carbon dioxide emission reduction effect index, the embodiments of the present invention can merge, normalize and quantify the atmospheric pollutant and carbon dioxide emission reduction effects of various pollution reduction and carbon reduction strategies, making the asynchronous changes in emissions comparable and the results intuitive and easy to read. This improves the accuracy of the assessment of the synergistic performance of pollution reduction and carbon reduction. Furthermore, by using the preset quadrant analysis method to assess the emission reduction benefits, the synergistic benefits of pollution reduction and carbon reduction before and after the application of pollution reduction and carbon reduction strategies can be assessed quickly and accurately. Attached Figure Description

[0040] Figure 1 This is a flowchart of the pollution reduction and carbon reduction synergistic benefit evaluation method provided in the embodiments of the present invention;

[0041] Figure 2 This is a schematic diagram of the four quadrants of the air pollutant and carbon dioxide emission reduction effect index provided in the embodiments of the present invention;

[0042] Figure 3 This is a lifecycle synergistic emission reduction effect analysis diagram provided by an embodiment of the present invention using an NCM811 battery pack;

[0043] Figure 4 This is a comparison chart of the lifecycle synergistic emission reduction effects of using NCM811 battery packs and upgrading CTP technology, provided by an embodiment of the present invention;

[0044] Figure 5 This is a schematic diagram of the structure of the pollution reduction and carbon reduction synergistic benefit evaluation system provided in this embodiment of the invention;

[0045] Figure 6This is a schematic diagram of the hardware structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0047] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”

[0048] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0050] Before providing a detailed description of the embodiments of this application, some of the nouns and terms involved in the embodiments of this application will be explained first. The nouns and terms involved in the embodiments of this application are subject to the following interpretations.

[0051] Automobile: An automobile is a complex means of transportation whose primary function is to transport people and goods. It is generally composed of various mechanical, electronic, and electrical systems. Automobile types encompass a variety of forms, including traditional gasoline-powered vehicles, hybrid vehicles, electric vehicles, and hydrogen fuel cell vehicles.

[0052] Product lifecycle: The product lifecycle generally refers to the complete process of a product from raw material production and use to end-of-life disposal. In the automotive industry, the lifecycle includes the materials cycle and the fuel cycle. The fuel cycle refers to the entire process from raw material production, component manufacturing, vehicle assembly to end-of-life dismantling and disposal, while the fuel cycle refers to the entire process from energy production to energy use.

[0053] Coordinated pollution and carbon reduction: This refers to reducing air pollutant emissions while controlling carbon dioxide emissions, and simultaneously reducing or absorbing carbon dioxide emissions in air pollutant emission control and ecological construction, thereby achieving coordinated progress in air pollutant emission reduction and carbon emission reduction, in order to achieve the dual goals of improving the quality of the ecological environment and addressing climate change.

[0054] Currently, evaluation methods for the synergistic effects of pollution reduction and carbon reduction are mostly macro-level, assessing the effects of macro-policies and measures before and after their implementation, or focusing on specific industries and using industry-specific indicators to analyze the effectiveness of pollution reduction and carbon reduction before and after industry transformation. While related assessment techniques can be used to evaluate the effects of pollution reduction and carbon reduction, such as the promotion of new energy vehicles replacing traditional fuel vehicles, their accuracy in assessing the synergistic performance of pollution reduction and carbon reduction is low, and therefore they cannot evaluate the synergistic benefits of pollution reduction and carbon reduction brought about by the application of a particular technology.

[0055] In view of this, this application provides a method, system, electronic device, and storage medium for evaluating the synergistic benefits of pollution reduction and carbon reduction. This scheme calculates lifecycle emission data, including carbon emissions before and after the application of a preset pollution reduction and carbon reduction strategy, based on a carbon-pollution synergy calculation model at each stage of the lifecycle. Then, it calculates lifecycle emission change data based on the lifecycle emission data. Next, this embodiment of the invention performs standardization processing on the lifecycle emission change data, and then calculates a preset emission reduction effect index, including an air pollutant emission reduction effect index and a carbon dioxide emission reduction effect index, based on the obtained emission change standard values. Then, it performs emission reduction benefit evaluation analysis using a preset quadrant analysis method based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index, obtaining the evaluation result of the synergistic benefits of pollution reduction and carbon reduction. This effectively improves the accuracy of the evaluation of the synergistic performance of pollution reduction and carbon reduction, and realizes the evaluation of the synergistic benefits of pollution reduction and carbon reduction strategies before and after their application.

[0056] The pollution reduction and carbon reduction synergistic benefit assessment method provided in this application relates to the field of energy conservation and environmental protection technology. This method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, or vehicle-mounted terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application that implements the pollution reduction and carbon reduction synergistic benefit assessment method, but is not limited to the above forms.

[0057] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0058] Figure 1 This is an optional flowchart of the pollution reduction and carbon reduction synergistic benefit evaluation method provided in the embodiments of this application. Figure 1 The method may include, but is not limited to, steps S110 to S140.

[0059] Step S110: Calculate lifecycle emission data using a carbon-pollution co-calculation model based on each stage of the lifecycle. The lifecycle emission data includes carbon emissions before and after the application of preset pollution reduction and carbon reduction strategies.

[0060] Step S120: Calculate life cycle emission change data based on life cycle emission data.

[0061] Step S130: Standardize the life cycle emission change data, and then calculate the preset emission reduction effect index based on the obtained emission change standard values. The preset emission reduction effect index includes the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index.

[0062] Step S140: Based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index, conduct emission reduction benefit assessment analysis using the preset quadrant analysis method to obtain the assessment results of the synergistic benefits of pollution reduction and carbon reduction.

[0063] In this specific embodiment, the lifecycle stage refers to each stage of a product's journey from raw material production to end-of-life disposal, such as the stages of a car's journey from raw material production, manufacturing, assembly to end-of-life disposal. The preset pollution reduction and carbon reduction strategy refers to the technical measures used to reduce pollution and carbon emissions, such as replacing the NCM523 battery pack with an NCM811 battery pack. Specifically, this embodiment first calculates the carbon emissions data for the product's lifecycle before and after the application of the preset pollution reduction and carbon reduction strategy, based on each stage of the product's lifecycle, using a carbon pollution synergistic calculation method. Additionally, the lifecycle emission change data in this embodiment refers to the change in carbon emissions before and after the application of the preset pollution reduction strategy. Specifically, this embodiment compares and subtracts the carbon emissions data before and after the application of the preset pollution reduction and carbon reduction strategy to calculate the lifecycle emission change data. Correspondingly, to compare and evaluate the synergy of various technical measures in reducing air pollutants and carbon dioxide emissions, this embodiment introduces a preset emission reduction effect index, including an air pollutant emission reduction effect index and a carbon dioxide emission reduction effect index. The Air Pollution Reduction Index (APRI) is an index used to comprehensively evaluate the overall emission reduction effect of a certain technological measure (preset pollution reduction and carbon reduction strategy) on multiple air pollutants, reflecting the overall contribution of the technological measure to air pollutant emission reduction. Similarly, the Carbon Dioxide Emission Reduction Index (CERI) is an index used to comprehensively evaluate the carbon dioxide emission reduction effect of a certain technological measure (preset pollution reduction and carbon reduction strategy), reflecting the overall contribution of the technological measure to carbon dioxide emission reduction. Specifically, this embodiment of the invention first standardizes the life cycle emission change data, that is, standardizes the change values ​​of various air pollutants and carbon dioxide emissions, and then calculates the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index based on the calculated standard values ​​of emission changes. Finally, based on the calculated air pollutant emission reduction effect index and carbon dioxide emission reduction effect index, this embodiment of the invention evaluates the synergistic emission reduction benefits of air pollutants and carbon dioxide using a preset quadrant analysis method, thereby obtaining the evaluation results of the synergistic benefits of pollution reduction and carbon reduction.

[0064] In some embodiments of the present invention, life cycle emission data is calculated based on each life cycle stage using a carbon-pollution co-calculation model, including but not limited to the following steps:

[0065] The product lifecycle is divided into several lifecycle stages. These stages include the material production and processing stage, the component manufacturing stage, the product assembly and manufacturing stage, the component and material recycling stage, and the vehicle usage stage.

[0066] The emissions at each stage of the life cycle before the application of the preset pollution reduction and carbon reduction strategy are calculated by using a preset emission calculation formula, and the emission data before the strategy is obtained.

[0067] The emissions are calculated for each stage of the life cycle after the application of the preset pollution reduction and carbon reduction strategy by using a preset emission calculation formula, and the emission data after the strategy is obtained.

[0068] In this specific embodiment, the present invention first divides the product lifecycle to determine several corresponding lifecycle stages. Specifically, the lifecycle stages in this embodiment include the material production and processing stage, the component manufacturing stage, the product assembly and manufacturing stage, the component and material recycling and regeneration stage, and the vehicle use stage. For example, the automobile lifecycle can be divided into a material cycle and a fuel cycle. This embodiment incorporates five main stages of the material cycle—raw material production, component manufacturing, vehicle assembly, end-of-life vehicle dismantling and recycling, and material recycling—as well as the energy production and energy use processes of the fuel cycle into the calculation scope of the automobile lifecycle. Next, this embodiment calculates the emissions of each lifecycle stage before and after applying a preset pollution reduction and carbon reduction strategy using a preset emission formula, obtaining corresponding pre-strategy emission data and post-strategy emission data. Specifically, pre-strategy emission data refers to carbon emissions before applying the preset pollution reduction and carbon reduction strategy, and post-strategy emission data refers to carbon emissions after applying the preset pollution reduction and carbon reduction strategy. For example, in the calculation of carbon emissions during the automobile lifecycle, the calculation methods for air pollutant and carbon dioxide emissions and emission reductions at each stage in this embodiment are as follows:

[0069] In this embodiment of the invention, the emissions of air pollutants and carbon dioxide during the material production and processing stage are represented by vectors. It can be expressed as follows, calculated using the following formula (1):

[0070]

[0071] Where, in the formula M is a column vector representing the amount of various materials used; M is an n×5 matrix, where n is the number of types of materials used, and each row represents the emission coefficients of SO2, NOx, particulate matter, VOCs and CO2 in the production process of a material.

[0072] In this embodiment of the invention, the emissions of air pollutants and carbon dioxide during the component processing and manufacturing stage are represented by vectors. It can be expressed as follows, calculated using the following formula (2):

[0073]

[0074] Where, in the formula F is a column vector representing the usage of various components; F is an m×5 matrix, where m is the number of types of components used, and each row represents the emission coefficients of SO2, NOx, particulate matter, VOCs and CO2 in the processing and manufacturing of a component.

[0075] In this embodiment of the invention, the emissions of air pollutants and carbon dioxide during the vehicle assembly and manufacturing stage are represented by vectors. It can be expressed as follows, calculated using the following formula (3):

[0076]

[0077] Where, in the formula These are all 1×5 row vectors, corresponding to the emission coefficients of SO2, NOx, particulate matter, VOCs, and CO2 for a single vehicle during the welding, painting, and final assembly processes, respectively. For example, the emission coefficient for the welding process... for:

[0078] In this embodiment of the invention, the atmospheric pollutant and carbon dioxide emissions during the component dismantling and recycling and material recycling stages are represented by vectors. It can be expressed as follows, calculated using the following formula (4):

[0079]

[0080] in, is a column vector representing the amount of vehicle, various parts or materials dismantled or recycled; C is a k×5 matrix, where k is the number of types of vehicle, parts or materials dismantled, recycled or recycled, and each row represents the emission coefficients of SO2, NOx, particulate matter, VOCs and CO2 during the dismantling, recycling or recycling process of a vehicle, a certain part or material.

[0081] Accordingly, in the embodiments of the present invention, the reduction in air pollutants and carbon dioxide emissions resulting from material recycling is represented by a vector. It can be expressed as follows, calculated using the following formula (5):

[0082]

[0083] Where, in the formula is a column vector representing the amount of various materials recycled; D is a t×5 matrix, where t is the number of types of recycled materials, and each row represents the emission coefficients of SO2, NOx, particulate matter, VOCs and CO2 when a type of recycled material is produced using new raw materials.

[0084] Furthermore, in this embodiment of the invention, emissions during the vehicle's usage phase include air pollutants and carbon dioxide emissions from upstream energy production processes, as well as air pollutants and carbon dioxide directly emitted from energy consumption during vehicle use. The air pollutant and carbon dioxide emissions during the usage phase are represented by vectors. It can be expressed as follows, calculated using the following formula (6):

[0085]

[0086] Where, in the formula A is a column vector representing the production output corresponding to various types of energy (electricity, gasoline, natural gas, etc.) consumed during vehicle use; B is a p×5 matrix, where p is the number of energy composition types, and each row represents the emission coefficients of SO2, NOx, particulate matter, VOCs, and CO2 in the production process of a different energy type. is a column vector representing the driving distance of a vehicle driven by different types of energy (electricity, gasoline, natural gas, etc.); K is a p×5 matrix, where p is the number of types of energy used, and each row represents the emission coefficients of SO2, NOx, particulate matter, VOCs, and CO2 per unit driving distance when driven by a different energy source.

[0087] Accordingly, in this embodiment of the invention, the total atmospheric pollutant and carbon dioxide emissions throughout the vehicle's lifecycle are represented by a vector. It can be expressed as the sum of the emissions from each of the above stages, and is calculated using the following formula (7):

[0088]

[0089] It is easy to understand that, through the above calculation process, the embodiments of the present invention calculate the life cycle emission data before and after applying the preset pollution reduction and carbon reduction strategy, respectively, and obtain the corresponding emission data before the strategy and emission data after the strategy.

[0090] In some embodiments of the present invention, life cycle emission change data is calculated based on life cycle emission data, including but not limited to the following steps:

[0091] The changes in emissions at each stage of the life cycle are calculated based on pre-strategy and post-strategy emission data.

[0092] Life cycle emission change data are calculated based on the change data at each stage.

[0093] In this specific embodiment, the present invention first calculates the emission changes at each stage of the life cycle, i.e., the stage change data, and then calculates the life cycle emission change data using the stage change data. Specifically, the present invention compares the carbon emissions at each stage of the life cycle before and after applying a preset pollution reduction and carbon reduction strategy, and then determines the final life cycle emission change data based on the comparison results. For example, the adoption of a certain technology in a vehicle generally leads to changes in air pollutant and carbon dioxide emissions at one or more stages of the life cycle, thereby causing changes in the total life cycle emissions. The changes in air pollutant and carbon dioxide emissions at each stage of the life cycle and the total life cycle emissions caused by technological changes in automobiles are calculated using the following formula:

[0094] In this embodiment of the invention, the changes in air pollutant and carbon dioxide emissions during the material production and processing stages are represented by vectors. It can be expressed as follows, calculated using the following formula (8):

[0095]

[0096] Where, in the formula and These are vectors representing the usage of new and old materials, respectively; M new and M old These are emission coefficient matrices for SO2, NOx, particulate matter, VOCs, and CO2 produced from new and old materials, respectively.

[0097] In this embodiment of the invention, the changes in air pollutant and carbon dioxide emissions during the component processing and manufacturing stage are represented by vectors. It can be expressed as follows, calculated using the following formula (9):

[0098]

[0099] Where, in the formula and These represent the usage of new and old parts, respectively; F new and F old These are emission coefficient matrices for SO2, NOx, particulate matter, VOCs, and CO2 during the processing and manufacturing of new and used parts.

[0100] In this embodiment of the invention, the changes in air pollutant and carbon dioxide emissions during the vehicle assembly and manufacturing stage are represented by vectors. It can be expressed as follows, calculated using the following formula (10):

[0101]

[0102] Where, in the formula and These are the emission coefficient vectors for SO2, NOx, particulate matter, VOCs, and CO2 of a single vehicle during the welding, painting, and final assembly processes before and after the changes.

[0103] In this embodiment of the invention, the changes in air pollutant and carbon dioxide emissions during the component and material recycling and regeneration stage are represented by vectors. It can be expressed as follows, calculated using the following formula (11):

[0104]

[0105] Where, in the formula This refers to the volume of new vehicles, parts, or materials dismantled or recycled. This refers to the original volume of vehicles, parts, or materials dismantled or recycled; C new and C old These are emission factor matrices for SO2, NOx, particulate matter, VOCs, and CO2 during the dismantling, recycling, or regeneration of new vehicles, parts, or materials, as well as the dismantling, recycling, or regeneration of original vehicles, parts, or materials.

[0106] Furthermore, in the embodiments of the present invention, the changes in air pollutants and carbon dioxide emission reductions resulting from material recycling are represented by vectors. It can be expressed as follows, calculated using the following formula (12):

[0107]

[0108] Where, in the formula and These are the new material recycling volume and the original material recycling volume, respectively; D new and D old These are emission coefficient matrices for SO2, NOx, particulate matter, VOCs, and CO2 when new recycled materials and original recycled materials are produced using new raw materials.

[0109] Furthermore, in the embodiments of the present invention, the changes in air pollutant and carbon dioxide emissions during the use process refer to the changes in the amount of air pollutant and carbon dioxide emissions during the energy production and use process, expressed as a vector. It can be expressed as follows, calculated using the following formula (13):

[0110]

[0111] Where, in the formula and These refer to the production volumes of various new and existing energy sources (electricity, gasoline, natural gas, etc.); B new and B old These are emission coefficient matrices for SO2, NOx, particulate matter, VOCs, and CO2 for new and different types of energy production processes and for original and different types of energy production processes, respectively. and These refer to the driving range of new and existing vehicles powered by different types of energy (electricity, gasoline, natural gas, etc.) throughout their lifecycles; K new and K old These are emission coefficient matrices for SO2, NOx, particulate matter, VOCs, and CO2 per unit distance traveled by a single vehicle when using different energy sources for both the new and original models.

[0112] Accordingly, in this embodiment of the invention, the changes in total air pollutant and carbon dioxide emissions throughout the lifecycle of a pure electric vehicle are represented by a vector. It can be expressed as the sum of the changes in emissions at each stage of the life cycle, which is calculated using the following formula (14):

[0113]

[0114] Among them, the life cycle emission change ΔE of a certain air pollutant or carbon dioxide life,j It can be expressed as the following formula (15):

[0115] ΔE life,j =ΔE mat,j +ΔE part,j +ΔE man,j +ΔE recy,j -ΔE reduct,j +ΔE fuel,j (15)

[0116] In the above formula, ΔE x,j (x represents life, mat, part, etc.) These correspond to the changes in the j-th type of air pollutant or carbon dioxide emissions at each stage. Correspondingly, when ΔE x,j A value less than 0 indicates that the emission of the j-th type of air pollutant or carbon dioxide has been reduced at the corresponding life cycle stage, ΔE x,j When the value is greater than 0, the emissions of the j-th type of air pollutant or carbon dioxide in the corresponding life cycle stage will increase instead of decrease.

[0117] In some embodiments of the present invention, life cycle emission change data is standardized, and then a preset emission reduction effect index is calculated based on the obtained emission change standard value, including but not limited to the following steps:

[0118] The standard value for emission change is calculated based on life cycle emission change data and corresponding standardized benchmark values.

[0119] The air pollutant emission reduction effect index is calculated based on the standard value of emission change and the preset weight data of the importance of air pollutant emission reduction.

[0120] In this specific embodiment, the present invention first calculates the standard value of emission change by combining life cycle emission change data and corresponding standardized benchmark values. Specifically, the present invention standardizes the change values ​​of various air pollutants and carbon dioxide emissions in the life cycle emission change data, as shown in the following formula (16):

[0121]

[0122] Wherein, ΔSE j This refers to the standard value corresponding to the change in the j-th type of carbon pollution emissions during the product's life cycle, such as the standard value corresponding to the change in the j-th type of air pollutant or carbon dioxide emissions during the life cycle of a pure electric vehicle; ΔE life,j SBV represents the change in emissions of the j-th type of carbon pollutant over the product's lifecycle, such as the change in emissions (kg) of the j-th type of air pollutant or carbon dioxide over the lifecycle of a pure electric vehicle; j This is the standardized baseline value (in ten thousand tons) for the j-th air pollutant or carbon dioxide.

[0123] Next, in order to compare and evaluate the synergy of air pollutant and carbon dioxide emission reduction brought about by various technical measures (preset pollution reduction and carbon reduction strategies), this embodiment of the invention first merges and normalizes the emission reduction effects of various air pollutants and carbon dioxide, and establishes the Air Pollutant Emission Reduction Effect Index (APRI) and the Carbon Dioxide Emission Reduction Effect Index (CERI) respectively. Accordingly, the calculation formulas of the Air Pollutant Emission Reduction Effect Index (APRI) and the Carbon Dioxide Emission Reduction Effect Index (CERI) in this embodiment of the invention are shown in the following formulas (17) and (18):

[0124] APRI = ∑ j (ΔSE j ×ω j (17)

[0125]

[0126] Wherein, ΔSE j ω is the standard value for the change in emissions of the j-th air pollutant; j The weight value representing the importance of emission reduction for the j-th type of air pollutant is the preset weight data for the importance of emission reduction for air pollutants. The weight values ​​represent the importance of carbon dioxide emission reduction, i.e., the preset weight data for the importance of carbon dioxide emission reduction. Accordingly, when APRI>0, it indicates that the overall emissions of air pollutants have increased; conversely, when APRI<0, it indicates that the overall emissions of air pollutants have decreased; when CERI>0, it indicates that the overall carbon dioxide emissions have increased, and when CERI<0, it indicates that the overall carbon dioxide emissions have decreased.

[0127] In some embodiments of the present invention, emission reduction benefits are evaluated and analyzed using a preset quadrant analysis method based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index to obtain the evaluation results of the synergistic benefits of pollution reduction and carbon reduction, including but not limited to the following steps:

[0128] Preset emission reduction effect parameters are used as coordinate axes to construct a preset quadrant diagram. These preset emission reduction effect parameters correspond to preset emission reduction effect indices and include air pollutant emission reduction effect parameters and carbon dioxide emission reduction effect parameters.

[0129] Based on the air pollutant emission reduction effect index, the carbon dioxide emission reduction effect index, and the preset quadrant map, the emission reduction benefit assessment analysis is carried out to obtain the evaluation results of the synergistic benefits of pollution reduction and carbon reduction.

[0130] In this specific embodiment, the present invention evaluates and analyzes the synergistic emission reduction benefits of air pollutants and carbon dioxide based on preset emission reduction effect parameters using a four-quadrant analysis method. Specifically, in this embodiment, the preset emission reduction effect parameters correspond to preset emission reduction effect indices, that is, the preset emission reduction effect parameters include air pollutant emission reduction effect parameters (corresponding to the air pollutant emission reduction effect index) and carbon dioxide emission reduction effect parameters (corresponding to the carbon dioxide emission reduction effect index). In this embodiment, the air pollutant emission reduction effect parameters are used as the x-axis, and the carbon dioxide emission reduction effect parameters are used as the y-axis to construct a preset quadrant diagram, as shown below. Figure 2 As shown. Accordingly, in this embodiment of the invention, the position information of the atmospheric pollutant emission reduction effect index and the carbon dioxide emission reduction effect index obtained under the same technical measure in the preset quadrant map is used to determine the pollution reduction and carbon reduction synergistic benefits of the technical measure, and obtain the evaluation results of the pollution reduction and carbon reduction synergistic benefits.

[0131] In some embodiments of the present invention, emission reduction benefits are evaluated and analyzed based on the air pollutant emission reduction effect index, the carbon dioxide emission reduction effect index, and a preset quadrant diagram to obtain the evaluation results of the synergistic benefits of pollution reduction and carbon reduction, including but not limited to the following steps:

[0132] The intersection of the emission reduction effect index and the carbon dioxide emission reduction effect index is determined, and then the intersection of the emission reduction effect index is marked on the preset quadrant map to obtain the preset quadrant distribution information.

[0133] By using pre-defined quadrant distribution information to evaluate and analyze emission reduction benefits, the results of the synergistic benefit assessment for pollution reduction and carbon reduction are obtained.

[0134] In this specific embodiment, the present invention marks the intersection points (emission reduction effect index intersection points) of the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index in a preset quadrant diagram to determine the corresponding preset quadrant distribution information. Then, it performs emission reduction benefit assessment and analysis on the preset quadrant distribution information to obtain the evaluation results of the synergistic effect of pollution reduction and carbon reduction. Specifically, the present invention marks the intersection points of the APRI and CERI values ​​calculated by the same technical measure in a four-quadrant diagram, and then evaluates the synergistic effect of the measure on pollution reduction and carbon reduction based on the location of the intersection points. Correspondingly, when the intersection point of APRI and CERI falls in the first quadrant (APRI>0 and CERI>0), it indicates that air pollutant and carbon dioxide emissions increase simultaneously during the product life cycle, meaning that the adopted measures not only fail to synergistically reduce air pollutants and carbon dioxide emissions during the product life cycle but also increase emissions. Alternatively, when the intersection point of APRI and CERI falls in the second quadrant (APRI<0 and CERI>0), it indicates that although such measures can reduce air pollutant emissions during the product life cycle, it comes at the cost of increased carbon dioxide emissions. Alternatively, when the intersection of APRI and CERI falls in the fourth quadrant (APRI > 0 and CERI < 0), it indicates that while such measures can reduce CO2 emissions over the life cycle, it comes at the cost of increased air pollutant emissions. Neither of these two types of measures can simultaneously achieve synergistic reductions in air pollutants and CO2 emissions over the life cycle. Alternatively, when the intersection of APRI and CERI falls in the third quadrant (APRI < 0 and CERI < 0), it indicates that both air pollutants and CO2 emissions are reduced over the life cycle, demonstrating that such measures can achieve true synergistic reductions in air pollutants and CO2 emissions.

[0135] In some embodiments of the present invention, after performing emission reduction benefit assessment analysis based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index using a preset quadrant analysis method to obtain the pollution reduction and carbon reduction synergistic benefit assessment results, the pollution reduction and carbon reduction synergistic benefit assessment method provided in the embodiments of the present invention further includes, but is not limited to, the following steps:

[0136] By using preset data visualization strategies, lifecycle emissions data and preset quadrant distribution information are visualized to obtain visual charts. These visual charts include interactive charts.

[0137] In this specific embodiment, the present invention visualizes lifecycle emission data and preset quadrant distribution information to generate interactive visualization charts, i.e., interactive charts. Specifically, the preset data visualization strategy in this embodiment refers to pre-set data visualization techniques, such as visualization charts. For example, this embodiment uses bar charts to intuitively present the comparison of various air pollutant or carbon dioxide emissions at different stages of the lifecycle brought about by different technical measures; uses stacked charts to show the proportion of various air pollutant or carbon dioxide emission reductions brought about by different technical measures; and uses four-quadrant charts to show the synergy between air pollutant and carbon dioxide emission reductions brought about by different technical measures, so that users can clearly understand the synergistic emission reduction of carbon pollution brought about by various technical measures. At the same time, the visualization charts constructed in this embodiment include interactive charts, which can support interactive chart operations and facilitate users to explore data details in depth.

[0138] The following section provides a detailed introduction and explanation of the embodiments of the present invention, using specific application examples of pollution reduction and carbon reduction synergistic benefit assessment:

[0139] For example, taking the synergistic benefit analysis of replacing the NCM523 battery pack with the NCM811 battery pack as an example, the embodiments of the present invention first collect activity level data. The main material and weight changes (unit: kg) before and after replacing the original NCM523 battery pack with the NCM811 battery pack are shown in Table 1 below:

[0140] Table 1

[0141]

[0142] Next, this embodiment of the invention calculates the life-cycle atmospheric pollutant and carbon dioxide emissions and their changes. The results of the changes in life-cycle atmospheric pollutant and carbon dioxide emissions after replacing the NCM523 battery pack with an NCM811 battery pack are shown in Table 2 below:

[0143] Table 2

[0144] index <![CDATA[SO2]]> NOx Particulate matter VOCs <![CDATA[CO2]]> Material cycle emission changes (kg) -0.089 -0.150 -0.043 -1.378 -288.729 Fuel cycle emissions changes (kg) -0.040 -0.092 -0.014 -0.019 -490.623 Life cycle emissions changes (kg) -0.129 -0.242 -0.057 -1.397 -779.352

[0145] Furthermore, this embodiment of the invention calculates the APRI and CERI values. Based on the emission calculation results, this embodiment of the invention calculates the standard values ​​for each air pollutant and carbon dioxide as -7.032, -7.262, -1.870, -71.450, and -8.344, respectively. Then, based on the standard values ​​for air pollutants and carbon dioxide, the APRI and CERI values ​​are obtained as -84.755 and -15.020, respectively. Next, this embodiment of the invention analyzes the synergistic benefits of the technical solutions, marking the intersection of the APRI and CERI values ​​of the high-energy-density battery replacement technology solution on a four-quadrant diagram. The results are as follows: Figure 3 As shown, the current NCM811 battery pack replacement of the NCM523 battery pack solution can bring better carbon emission reduction benefits throughout its life cycle. Finally, the embodiments of the present invention compare the combined effects of different technical measures. If the battery pack production is upgraded from the ordinary CTM process to the CTP process while replacing the NCM523 battery pack with the NCM811 battery pack, the synergistic emission reduction benefits will be further improved. The results of replacing the NCM811 battery pack with the ordinary CTM process and the NCM811 battery pack with the CTP process are compared as follows: Figure 4 As shown.

[0146] It should be noted that, in some embodiments of the present invention, the system architecture for evaluating the synergistic benefits of pollution reduction and carbon reduction includes a data storage and fusion processing subsystem, a computational analysis subsystem, and a result display and decision support subsystem. These subsystems operate collaboratively to achieve intelligent management of the entire process of calculating and evaluating the synergistic benefits of pollution reduction and carbon reduction throughout the vehicle's lifecycle. The data storage and fusion processing subsystem includes a data storage management module, a data cleaning module, and a data fusion module. Accordingly, the data storage management module uses a relational database (MySQL) to store the collected data, constructing a hierarchical distributed storage architecture to ensure efficient, reliable, and scalable data storage. The data cleaning module, based on predefined data quality rules, uses data mining and machine learning algorithms to clean the collected data, automatically identifying, correcting, or removing low-quality data to improve data accuracy and usability. The data fusion module employs a priority-based data fusion algorithm to fuse multi-source data according to the dimensions of each stage of the vehicle's lifecycle, generating a unified fused dataset to provide accurate data input for subsequent calculations.

[0147] In addition, the calculation and analysis subsystem includes a phased emission and emission reduction calculation module and a life-cycle emission reduction effect index calculation module. The phased emission and emission reduction calculation module, based on the emission calculation models corresponding to each stage, retrieves activity levels and emission coefficient data before and after the application of technical measures from the fused dataset. It uses numerical calculation algorithms to calculate the emissions of various air pollutants and carbon dioxide at each stage before and after the application of technical measures, outputting detailed emission results for each stage, detailed emission reductions resulting from the application of technical measures at each stage, and a summary of the total life-cycle emissions and emission reduction results before and after the application of technical measures. The life-cycle emission reduction effect index calculation module gathers the calculation results of various air pollutants and carbon dioxide emission reductions throughout the life cycle. It retrieves standardized benchmark values ​​and emission reduction weight values ​​for each air pollutant and carbon dioxide from the fused dataset, uses a preset calculation algorithm to calculate the emission reduction effect index, and obtains the life-cycle air pollutant and carbon dioxide emission reduction effects of various technical measures, providing quantitative analysis basis for decision support.

[0148] Meanwhile, the results display and decision support subsystem includes a visualization module and a decision support module. The visualization module uses data visualization technology to visualize the synergistic carbon emission reduction effects of different technological measures. The decision support module, based on the differences in activity levels or emission coefficients brought about by various technological measures, simulates the synergistic benefits of various technological measures on air pollutants and carbon dioxide throughout the entire vehicle lifecycle, identifies the main technological paths for synergistic carbon emission reduction throughout the lifecycle, and combines multi-dimensional parameters such as product design, production processes, material selection, and operating conditions to provide automakers, energy supply companies, and recycling companies with optimization suggestions for product pollution reduction and carbon reduction strategies, assisting companies in formulating scientific and effective green product development plans.

[0149] It is readily understood that this invention employs a carbon-pollution synergy method to simultaneously calculate air pollutant and carbon dioxide emissions and their changes at each major stage of the vehicle lifecycle. This simplifies the calculation process and quickly yields all necessary results. It also outputs the changes in air pollutants and carbon dioxide simultaneously when a certain influencing factor changes. Furthermore, this invention introduces the Air Pollutant Emission Reduction Effect Index (APRI) and the Carbon Dioxide Emission Reduction Effect Index (CERI), which can separately merge, normalize, and quantify the air pollutant and carbon dioxide emission reduction effects of various technological measures. This makes asynchronous emission changes comparable, and the results are intuitive and easy to read. Specifically, when the APRI or CERI value is negative and the larger the absolute value, the better the air pollutant or carbon dioxide emission reduction effect of the technological measure. Only measures with both APRI and CERI being negative have a synergistic emission reduction effect. Furthermore, by employing a four-quadrant evaluation method, this invention can intuitively present the synergistic carbon emission reduction effect of technical measures. It also assesses and compares the synergistic emission reduction performance and effects of various technical means on air pollutants and carbon dioxide by analyzing the distribution of the intersection points of APRI and CERI in the four quadrants. Technologies located in the third quadrant with intersection points farther from the origin have better synergistic emission reduction effects, thus alleviating the methodological problem of how to quickly and effectively screen technical means with better synergistic benefits.

[0150] Accordingly, embodiments of the present invention can analyze the life-cycle synergistic benefits of pollution reduction and carbon reduction brought about by the implementation of a certain technical measure. It can be used for comprehensive analysis and evaluation of the environmental benefits of new technologies, providing a basis for the promotion and application of specific new materials, technologies, and processes, and promoting the application of environmentally friendly technologies and the development of green vehicle products. Simultaneously, embodiments of the present invention, through the Air Pollutant Emission Reduction Effect Index (APRI) and the Carbon Dioxide Emission Reduction Effect Index (CERI), can merge and unify air pollutants and carbon dioxide based on the needs for continuous improvement of air quality and actual emission reduction requirements. This makes the evaluation results of synergistic benefits more closely aligned with actual needs, and makes the promotion and application of technical measures more targeted. Furthermore, by using a carbon pollution synergistic calculation model to simultaneously calculate the emissions of multiple air pollutants and carbon dioxide, the present invention alleviates the problem that using different calculation methods to calculate the emissions and emission reductions of air pollutants and carbon dioxide separately and then performing synergistic analysis could lead to weak correlation and insufficient comparability between the two, due to the use of different activity level data in the calculation process. This improves the accuracy of the pollution reduction and carbon reduction synergistic performance evaluation.

[0151] See also Figure 5 This application also provides a pollution reduction and carbon reduction synergistic benefit assessment system, which can implement the above-mentioned pollution reduction and carbon reduction synergistic benefit assessment method. The system includes:

[0152] The first module 210 is used to calculate lifecycle emission data based on each stage of the lifecycle using a carbon-pollution co-calculation model. This lifecycle emission data includes carbon emissions before and after the application of pre-defined pollution reduction and carbon depletion strategies.

[0153] The second module 220 is used to calculate life cycle emission change data based on life cycle emission data.

[0154] The third module 230 is used to standardize the life cycle emission change data and then calculate the preset emission reduction effect index based on the obtained emission change standard value. The preset emission reduction effect index includes the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index.

[0155] The fourth module 240 is used to conduct emission reduction benefit assessment analysis based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index using a preset quadrant analysis method, and obtain the assessment results of the synergistic benefits of pollution reduction and carbon reduction.

[0156] It is understood that the content of the above method embodiments is applicable to this system embodiment. The specific functions implemented in this system embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0157] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-mentioned method for evaluating the synergistic benefits of pollution reduction and carbon reduction. This electronic device can include any smart terminal such as a tablet computer or an in-vehicle computer.

[0158] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0159] Please see Figure 6 , Figure 6 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes:

[0160] The processor 310 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0161] The memory 320 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 320 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 320 and called and executed by the processor 310 using the pollution reduction and carbon reduction synergistic benefit evaluation method of the embodiments of this application.

[0162] Input / output interface 330 is used to realize information input and output;

[0163] The communication interface 340 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0164] Bus 350 transmits information between various components of the device (e.g., processor 310, memory 320, input / output interface 330, and communication interface 340);

[0165] The processor 310, memory 320, input / output interface 330 and communication interface 340 are connected to each other within the device via bus 350.

[0166] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for evaluating the synergistic benefits of pollution reduction and carbon reduction.

[0167] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0168] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0169] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0170] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0171] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0172] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0173] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0174] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0175] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0176] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0177] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0178] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0179] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for evaluating the synergistic benefits of pollution reduction and carbon reduction, characterized in that, The method includes the following steps: The life cycle emission data is calculated using a carbon pollution co-calculation model based on each stage of the life cycle; wherein, the life cycle emission data includes carbon pollution emission data before and after the application of preset pollution reduction and carbon reduction strategies; Life cycle emission change data are calculated based on the life cycle emission data; The life cycle emission change data is standardized, and then a preset emission reduction effect index is calculated based on the obtained emission change standard value; wherein, the preset emission reduction effect index includes an air pollutant emission reduction effect index and a carbon dioxide emission reduction effect index; Based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index, the emission reduction benefit assessment analysis is performed using the preset quadrant analysis method to obtain the evaluation results of the synergistic benefit of pollution reduction and carbon reduction.

2. The method according to claim 1, characterized in that, The lifecycle emission data calculated using a carbon-pollution co-calculation model based on each stage of the lifecycle includes: The product life cycle is divided into several life cycle stages; wherein, the life cycle stages include the material production and processing stage, the component processing and manufacturing stage, the product assembly and manufacturing stage, the component and material recycling and regeneration stage, and the vehicle use stage; The emissions of each life cycle stage before the application of the preset pollution reduction and carbon reduction strategy are calculated by using a preset emission calculation formula to obtain the emission data before the strategy. The emissions of each stage of the life cycle after applying the preset pollution reduction and carbon reduction strategy are calculated using the preset emission calculation formula to obtain the emission data after the strategy.

3. The method according to claim 2, characterized in that, The calculation of life cycle emission change data based on the life cycle emission data includes: Calculate the stage change data for each stage of the life cycle based on the pre-strategy emission data and the post-strategy emission data; The life cycle emission change data are calculated based on the change data of each of the aforementioned stages.

4. The method according to claim 1, characterized in that, The process of standardizing the lifecycle emission change data and then calculating the preset emission reduction effect index based on the obtained emission change standard value includes: The standard value of emission change is calculated based on the life cycle emission change data and the corresponding standardized benchmark value; The air pollutant emission reduction effect index is calculated based on the emission change standard value and the preset air pollutant emission reduction importance weight data; The carbon dioxide emission reduction effect index is calculated based on the standard value of emission change and the preset carbon dioxide emission reduction importance weight data.

5. The method according to claim 1, characterized in that, The emission reduction benefit assessment analysis is conducted using a preset quadrant analysis method based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index to obtain the synergistic benefit assessment results of pollution reduction and carbon reduction, including: A preset emission reduction effect parameter is used as a coordinate axis to construct a preset quadrant diagram; wherein, the preset emission reduction effect parameter corresponds to the preset emission reduction effect index, and the preset emission reduction effect parameter includes air pollutant emission reduction effect parameter and carbon dioxide emission reduction effect parameter; Based on the air pollutant emission reduction effect index, the carbon dioxide emission reduction effect index, and the preset quadrant diagram, the emission reduction benefit assessment analysis is performed to obtain the evaluation result of the synergistic benefit of pollution reduction and carbon reduction.

6. The method according to claim 5, characterized in that, The step of evaluating and analyzing the emission reduction benefits based on the air pollutant emission reduction effect index, the carbon dioxide emission reduction effect index, and the preset quadrant chart to obtain the evaluation results of the synergistic benefits of pollution reduction and carbon reduction includes: Based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index, the intersection point of the emission reduction effect index is determined, and then the intersection point of the emission reduction effect index is marked on the preset quadrant map to obtain the preset quadrant distribution information; The emission reduction benefits are evaluated and analyzed by using the preset quadrant distribution information, and the evaluation results of the synergistic benefits of pollution reduction and carbon reduction are obtained.

7. The method according to claim 6, characterized in that, After performing the emission reduction benefit assessment analysis based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index using a preset quadrant analysis method to obtain the pollution reduction and carbon reduction synergistic benefit assessment results, the method further includes: The life cycle emission data and the preset quadrant distribution information are visualized using a preset data visualization strategy to obtain visualization charts; wherein, the visualization charts include interactive charts.

8. A system for evaluating the synergistic benefits of pollution reduction and carbon reduction, characterized in that, The system includes: The first module is used to calculate life cycle emission data based on each stage of the life cycle using a carbon pollution co-calculation model; wherein, the life cycle emission data includes carbon pollution emission data before and after the application of preset pollution reduction and carbon reduction strategies; The second module is used to calculate life cycle emission change data based on the life cycle emission data. The third module is used to standardize the life cycle emission change data and then calculate the preset emission reduction effect index based on the obtained emission change standard value; wherein, the preset emission reduction effect index includes the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index; The fourth module is used to conduct emission reduction benefit assessment analysis based on the air pollutant emission reduction effect index and the carbon dioxide emission reduction effect index using a preset quadrant analysis method, and obtain the assessment result of the synergistic benefit of pollution reduction and carbon reduction.

9. An electronic device, characterized in that, include: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

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