Carbon emission factor evaluation method, device and electronic equipment based on matter-element model

Abstract

The present application relates to the technical field of carbon emission assessment, and provides a carbon emission factor assessment method, device and electronic equipment based on a matter-element model, the method comprising: collecting all production site data involved in the entire process of building materials product production; analyzing the factors affecting carbon emissions in the production process of building materials products based on the production site data and constructing a matter-element model, the matter-element model comprising a classical domain matter-element and a node domain matter-element; obtaining a correlation function of the degree of correlation between each influencing factor and the classical domain matter-element and the node domain matter-element based on the matter-element model; normalizing each influencing factor, and calculating the weight of each influencing factor in carbon emissions; obtaining a carbon emission factor representing the carbon emissions per unit of bulk building materials based on the correlation function and the weight. It can comprehensively consider the various influencing factors of bulk building materials carbon emissions, improve the accuracy, completeness and scientificity of the determination of carbon emission factors, and provide more accurate basic data support for carbon emission assessment and emission reduction strategy formulation in the construction industry.

Description

Technical Field

[0001] The present application belongs to the technical field of carbon emission assessment, and in particular relates to a carbon emission factor assessment method, device and electronic equipment based on a matter-element model. Background Art

[0002] Actively responding to the challenges brought by climate change has become a general consensus of the international community. The measurement of carbon emission factors in the production process of building materials is the basis for calculating the total emissions of the building materials industry. Accurately determining the carbon emission factors of various bulk building materials provides data support for environmental assessment and carbon reduction policies. At the same time, quantifying the carbon emissions of building materials products provides an operational method to support their ecological design, green material selection of downstream products, and related evaluation and certification work such as green building materials, green factories, and green buildings, and promotes the realization of sustainable development goals.

[0003] The carbon emission factor method is the most widely applicable and commonly used carbon accounting method. At present, in the carbon footprint accounting or life cycle assessment of product manufacturing, due to the lack of high-quality local background databases, not only great uncertainty is introduced to the final calculation results, but also the problem of traceability is difficult, and it is often unable to obtain international market recognition. The reasons for the serious quality defects of the data are specifically reflected in the following aspects: on the one hand, the carbon emission factors obtained by existing studies are mostly estimated values ​​of carbon emission factors determined at a certain moment, and the research on predicting the trend of carbon emission factors tends to be short-term prediction, which is difficult to meet the actual needs of medium- and long-term carbon emission control, guidance and planning. On the other hand, any unit process of bulk building materials products may involve the input and output of hundreds of basic flows and intermediate flows, corresponding to the consumption of raw materials, energy and the production of main and by-products, as well as the interaction between the entire production process and the environment. With the changes in carbon emission levels in the building materials industry, the development of emission reduction technologies and the need for carbon emission management, the product system will generate massive data, and its types and sources are also increasing, making the factors affecting carbon emission factors diverse and complex, and it is difficult to update and iterate uniformly.

[0004] The extension element model is a model proposed by mathematician Cai Wen in the 1980s that abstracts complex practical problems into formalized models. It can transform contradictory problems into problems of the principle of selecting the nearest of multiple characteristics from both qualitative and quantitative perspectives. The production and manufacturing process of bulk building materials itself contains contradictions between resource utilization destruction and ecological environmental protection, resource consumption and social needs. Its carbon emission level is affected by many factors, and the degree of influence of various factors is also different. The existing carbon emissions of bulk building materials are mostly linearly evaluated from a single influencing factor, lacking a quantitative method that systematically evaluates carbon emissions by integrating various influencing factors. In summary, the traditional method of determining carbon emission factors is difficult to fully and accurately reflect the complex situation in the production and use of bulk building materials, and often ignores the correlation between input features, reducing the prediction accuracy. In order to cope with the external situation of climate change and the need for low-carbon development in the building materials industry, it is urgent to generate carbon emission factors based on a unified model system and in accordance with unified specifications and processes to solve the problems existing in the existing technology. Summary of the invention

[0005] The main purpose of the embodiments of the present invention is to provide a carbon emission factor evaluation method, device and electronic equipment based on a matter-element model, which can comprehensively consider the various influencing factors of carbon emissions of bulk building materials, improve the accuracy, completeness and scientificity of the determination of carbon emission factors, and provide more accurate basic data support for carbon emission assessment and emission reduction strategy formulation in the construction industry, solving the problem that the current database of carbon emission factors for bulk building materials lacks a unified model system, specifications and processes for generating data sets.

[0006] On the first aspect, a carbon emission factor evaluation method based on a matter-element model is provided, the method comprising: collecting all production site data involved in the entire production process of building materials products; analyzing the influencing factors affecting carbon emissions in the production process of building materials products based on the production site data, and constructing a matter-element model, the matter-element model comprising classical domain matter-element and node domain matter-element; obtaining a correlation function of the degree of correlation between each influencing factor and the classical domain matter-element and node domain matter-element based on the matter-element model; normalizing each influencing factor, and calculating the weight of each influencing factor in carbon emissions; obtaining a carbon emission factor representing the carbon emissions per unit of bulk building materials based on the correlation function and the weight.

[0007] In another possible implementation, all production site data involved in the entire production process of building materials products are collected, including: dividing the production process into multiple unit processes, the production process includes the raw material input process, the raw material transportation process, the production process and the waste treatment process; based on each unit process, the input raw material consumption data and output carbon emission data in each unit process are obtained according to the production site combined with the survey data of industry statistical data institutions and public literature data; the obtained raw material consumption data and carbon emission data are verified to obtain production site data that meets the data quality requirements.

[0008] In a possible implementation, a matter-element model of carbon emissions in the production process of building materials products is constructed based on production site data, including: determining the influencing factors and the values ​​of each influencing factor that affect the carbon emission level in the production of building materials products based on the production site data; constructing a matter-element model based on the matter-element theory according to the influencing factors and the corresponding values, wherein the matter-element model is based on the matter-element name of the carbon emission level. , Characterize the characteristics of influencing factors and its value To describe the research object and form an ordered triple :

[0009]

[0010] in, Indicates the factors that affect the carbon emission level of cement products. Influencing factors, Influencing factors The value of ; According to each influencing factor and its value, the classical domain matter element and section domain matter element of the matter element model are determined, wherein the classical domain matter element represents the influencing factors and corresponding value range of carbon emissions under normal production conditions, and the section domain matter element represents the influencing factors and corresponding value range of the possible maximum and minimum carbon emissions.

[0011] In another possible implementation, the classical domain matter-element and the node domain matter-element of the matter-element model are determined according to each influencing factor and its value, including: determining the value range of each influencing factor according to each influencing factor and its value; determining the classical domain matter-element according to each influencing factor and its value range and section domain matter-element :

[0012]

[0013] in, The carbon emission level of the building materials products is classified Rating level; The first factor affecting the carbon emission level of cement products is Influencing factors; Classical domain matter-element middle About influencing factors The value range of each level is the classic domain of the corresponding evaluation index standard value. , , , Influencing factors The lower limit of the value of Influencing factors The upper limit of the value of ;

[0014]

[0015] in, is the total carbon emissions of cement products; Field Matter Element middle P About influencing factors The value range of P The section domain, and are the minimum and maximum values ​​of the interval, respectively. yes No. The union of all value ranges of the influencing factors, the allowed value range satisfies .

[0016] In another possible implementation, obtaining the correlation function of the correlation degree between each influencing factor and the classical domain matter-element and the node domain matter-element based on the matter-element model includes: calculating the first The magnitude of the influencing factor belongs to The correlation function of the evaluation levels is:

[0017]

[0018] in, Indicates the first The influencing factors and The degree of correlation between the evaluation levels; Classical domain matter-element middle About influencing factors The value range of The influencing factors of the node domain matter element The value range of for To the value range The distance of a finite interval; if , , , then determine the Factors that influence Belong to Rating level.

[0019] In another possible implementation, each influencing factor is normalized and its weight in carbon emissions is calculated, including: The influencing factors are standardized and constructed Level matrix; calculate the first Rating level The numerical weight of the influencing factors , and calculate the first The entropy value of the influencing factors and coefficient of variation :

[0020]

[0021]

[0022] in, , ， ; According to the entropy value and coefficient of variation Calculate the The weight of each influencing factor in carbon emissions :

[0023]

[0024] in, .

[0025] In another possible implementation, obtaining the carbon emission factor representing the carbon emission per unit of bulk building materials according to the correlation function and the weight includes: calculating the carbon emission factor representing the carbon emission per unit of bulk building materials according to the correlation function and the weight by applying the following relationship:

[0026]

[0027] in, Indicates that the carbon emissions of building materials products belong to The degree of evaluation level, For the The weight of each influencing factor in carbon emissions, The first The influencing factors and The correlation of the evaluation levels; if ,but This is the final evaluation grade.

[0028] In the second aspect, a carbon emission factor evaluation device based on a matter-element model is provided, and the device includes: a data acquisition module, which is used to collect all production site data involved in the entire process of building materials product production; a model construction module, which is used to analyze the influencing factors affecting carbon emissions in the production process of building materials products according to the production site data, and construct a matter-element model, the matter-element model includes classical domain matter-element and node domain matter-element; an association acquisition module, which is used to obtain the association function of the degree of association between each influencing factor and the classical domain matter-element and node domain matter-element based on the matter-element model; a weight calculation module, which is used to normalize each influencing factor and calculate the weight of each influencing factor in carbon emissions; a carbon emission evaluation module, which is used to obtain the carbon emission factor representing the carbon emission per unit of bulk building materials according to the association function and weight.

[0029] In a third aspect, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a carbon emission factor evaluation method based on a matter-element model as provided in the first aspect is implemented.

[0030] In a fourth aspect, a non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, a carbon emission factor evaluation method based on a matter-element model as provided in the first aspect is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in describing the embodiments of the present application are briefly introduced below.

[0032] Figure 1 A flow chart of a carbon emission factor evaluation method based on a matter-element model provided in one embodiment of the present invention;

[0033] Figure 2 An example diagram of carbon emissions from the cement product production process provided by an embodiment of the present invention;

[0034] Figure 3 A structural diagram of a carbon emission factor evaluation device based on a matter-element model provided by an embodiment of the present invention;

[0035] Figure 4 A schematic diagram of the physical structure of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0036] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar modules or modules with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be interpreted as limiting the present invention.

[0037] It will be understood by those skilled in the art that, unless expressly stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, modules and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, modules, components and / or groups thereof. It should be understood that when we refer to a module as being "connected" or "coupled" to another module, it may be directly connected or coupled to the other modules, or there may be intermediate modules. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any modules and all combinations of one or more associated listed items.

[0038] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation method of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0039] The technical solution of the present application and how to solve the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0040] like Figure 1 FIG. 1 is a flow chart of a carbon emission factor evaluation method based on a matter-element model provided by an embodiment of the present invention, the method comprising:

[0041] Step S11, collecting all production site data involved in the entire process of building material product production.

[0042] Step S12, analyzing the factors affecting carbon emissions in the production process of building materials products based on production site data, and constructing a matter-element model, which includes classical domain matter-elements and node domain matter-elements.

[0043] Step S13, obtaining a correlation function of the correlation degree between each influencing factor and the classical domain matter-element and the node domain matter-element based on the matter-element model.

[0044] Step S14, normalize each influencing factor and calculate the weight of each influencing factor in carbon emissions.

[0045] Step S15, obtaining a carbon emission factor representing the carbon emission per unit of bulk building materials according to the correlation function and the weight.

[0046] The embodiment of the present invention is based on the theory of matter-element analysis, and can comprehensively consider the various influencing factors of carbon emissions of bulk building materials. By establishing a comprehensive evaluation matter-element model of multi-index performance parameters of bulk building materials products, the multi-objective evaluation is converted into a single-objective decision, and the evaluation results are concisely expressed with quantitative numerical values, and finally the carbon emission factor is determined. Through reasonable data collection and comprehensive calculation of correlation functions and weight values, the influence of various factors on the carbon emission level is evaluated, so that the evaluation level can be quantified. Compared with other evaluation methods, when determining the weight coefficient, the entropy weight method reduces human factors, improves the accuracy and reliability of the determination of carbon emission factors, and provides more accurate basic data support for carbon emission assessment and emission reduction strategy formulation in the construction industry.

[0047] In an embodiment of the present invention, in step S11, optionally, the production process is divided into multiple unit processes, and the production process includes a raw material input process, a raw material transportation process, a production process, and a waste treatment process; based on each unit process, the input raw material consumption data and the output carbon emission data in each unit process are obtained according to the production site combined with the survey data of industry statistical data institutions and public literature data; the obtained raw material consumption data and carbon emission data are verified to obtain production site data that meets the data quality requirements.

[0048] Taking cement as an example, when collecting data information of a cement plant, the input and output data involved in the unit process divided by the production process actually controlled by the enterprise should be carried out. The divided unit processes include: raw material production and upstream processes, material product production and manufacturing processes, transportation processes, and waste treatment processes. In the actual operation process, the main focus is on real-life data that reflects the actual production process of cement products, supplemented by background data on the specific production situation of the current accounting object that needs to be replaced by the average level of corresponding product production in the literature or database. The specific data collection process is as follows:

[0049] First, analyze the cement product production process and draw a flowchart of the production unit process that needs to be obtained. For details on carbon emissions in the cement product production process, see Figure 2 The input process of raw materials and auxiliary materials includes the input of raw materials, fuel, electricity and energy raw materials, etc. The transportation process of raw materials and auxiliary materials can be carried out by rail, road and other means of transportation. The cement production process includes but is not limited to raw material pretreatment, raw material preparation, coal powder extraction and preparation, clinker generation, clinker grinding, cement packaging and delivery, etc., which involves greenhouse gas emissions, wastewater and waste emissions and other environmental impacts.

[0050] according to Figure 2Identify all input and output categories using the example diagram provided in the table, and design a data collection table. Table 1 takes field data collection as an example:

[0051] Table 1 Data collection form

[0052]

[0053] During the data collection process, in order to ensure that the data collection quality meets the requirements, multiple people are required to check and cross-check the data to verify the validity of the data, and confirm the accuracy and rationality of the data through the mass balance of raw and auxiliary material input, product output, waste and environmental emissions, energy balance, and comparison with historical data and similar process data. If problems are found during the data verification process, data collection must be re-performed and the causes analyzed, and the replaced data must meet the data quality requirements.

[0054] In step S12, the factors affecting the carbon emission level in the production of building materials products and the values ​​of each factor are determined based on the production site data; a matter-element model is constructed based on the matter-element theory according to the influencing factors and the corresponding values, wherein the matter-element model is based on the name of the carbon emission level. , Characterize the characteristics of influencing factors and its value To describe the research object and form an ordered triple :

[0055]

[0056] in, Indicates the factors that affect the carbon emission level of cement products, Influencing factors The value of .

[0057] According to each influencing factor and its value, the classical domain matter element and the section domain matter element of the matter element model are determined, wherein the classical domain matter element represents the influencing factors and the corresponding value range of carbon emissions under normal production conditions, and the section domain matter element represents the influencing factors and the corresponding value range of the maximum and minimum carbon emissions that may occur. Optionally, the value range of each influencing factor is determined according to each influencing factor and its value; the classical domain matter element is determined according to each influencing factor and its value range and section domain matter-element :

[0058]

[0059] in, The carbon emission level of the building materials products is classified Rating level; The first factor affecting the carbon emission level of cement products is Influencing factors; Classical domain matter-element middle About influencing factors The value range of each level is the classic domain of the corresponding evaluation index standard value. , , , Influencing factors The lower limit of the value of Influencing factors The upper limit of the value of ;

[0060]

[0061] in, is the total carbon emissions of cement products; Field matter element middle P About influencing factors The value range of P The section domain, and are the minimum and maximum values ​​of the interval, respectively. yes No. The union of all value ranges of the influencing factors, the allowed value range satisfies .

[0062] Based on the statistical analysis of the collected data, this application selects the main factors affecting the carbon emissions of the cement products industry and defines the range of change of the factors, thereby obtaining the classical domain, node domain and matter-element matrix of the research object. For example, the classical domain of carbon dioxide emissions from coal combustion is [ X 1 ,X 2 ], the section domain is [ Y 1 ,Y 2 ] N have n Rating level , , …, , the corresponding matter element can be established. Combined with formula (1), the classical domain matter element of carbon emissions from cement products shown in formula (2) and the section domain matter element of carbon emissions from cement products shown in formula (2) can be obtained.

[0063] In step S13, optionally, the first The magnitude of the influencing factor belongs to The correlation function of the evaluation levels is:

[0064]

[0065] in, Indicates the first The influencing factors and The degree of correlation between the evaluation levels; Classical domain matter-element middle About influencing factors The value range of Field Matter Element middle P About influencing factors The value range of for To the classical domain value range The distance of a finite interval; if , , , then determine the Factors that influence Belong to Rating level.

[0066] For example, in order to reflect the carbon emission level of cement products, based on the matter-element model, a correlation function is established to calculate the correlation degree between each influencing factor and the classical domain and the node domain, and the first correlation function shown in formula (4) is obtained. The value of the influencing factor belongs to The correlation function calculation formula of each level. Through the above formula (4), the cement product A degree of correlation.

[0067] In the embodiment of the present application, the entropy weight method can be used to determine the weight of each influencing factor in the carbon emission of cement products. In step S14, optionally, first The influencing factors are standardized and constructed Level rank matrix, , , .

[0068]

[0069] right The normalization of influencing factors can be done by normalizing positive indicators:

[0070]

[0071] Negative indicators can also be normalized:

[0072]

[0073] Then, according to the rank matrix, the Rating level The numerical weight of the influencing factors :

[0074]

[0075] And calculate the first The entropy value of the influencing factors and coefficient of variation :

[0076]

[0077]

[0078] in, , , ; According to the entropy value and coefficient of variation Calculate the The weight of each factor in carbon emissions :

[0079]

[0080] in, .

[0081] In step S15, optionally, the carbon emission factor (kgCO2) representing the carbon emission per unit of bulk building materials is calculated by applying the following relationship according to the correlation function and the weight: 2 / t):

[0082]

[0083] in, Indicates that the carbon emissions of building materials products belong to The degree of evaluation level, For the The weight of each influencing factor in carbon emissions, The first The influencing factors and The correlation of the evaluation levels; if ,but This is the final evaluation grade.

[0084] For steel, a major building material, the above steps can also be followed to collect data, build models, calculate correlations, determine weights, and finally calculate carbon emission factors.

[0085] The carbon emission factor determination method of the embodiment of the present invention solves to a certain extent the problem that the current domestic bulk building materials carbon emission factor database lacks a unified model system, specification and process to generate data sets, and provides a higher quality, highly representative and traceable data source for the green material selection and low-carbon production of many downstream building materials such as ready-mixed concrete, ready-mixed mortar, and cement products. In addition, this method is conducive to the identification of the distribution of carbon footprints of corresponding building materials products by bulk building materials manufacturers such as cement and steel under the background of "dual carbon", which has important practical significance for promoting energy conservation and consumption reduction of building materials products and industries.

[0086] In summary, the embodiments of the present invention collect all production site data involved in the entire process of building materials production; analyze the influencing factors affecting carbon emissions in the production process of building materials according to the production site data and construct a matter-element model, the matter-element model includes classical domain matter-element and node domain matter-element; obtain the correlation function of the degree of correlation between each influencing factor and the classical domain matter-element and node domain matter-element based on the matter-element model; normalize each influencing factor, and calculate the weight of each influencing factor in carbon emissions; obtain the carbon emission factor that characterizes the carbon emissions per unit of bulk building materials according to the correlation function and the weight, which can comprehensively consider the various influencing factors of carbon emissions of bulk building materials, improve the accuracy, completeness and scientificity of the determination of carbon emission factors, and provide more accurate basic data support for carbon emission assessment and emission reduction strategy formulation in the construction industry.

[0087] like Figure 3 FIG. 1 is a structural diagram of a carbon emission factor evaluation device based on a matter-element model provided by an embodiment of the present invention, the device comprising:

[0088] The data acquisition module 301 is used to collect all the production site data involved in the whole process of building material product production;

[0089] The model building module 302 is used to analyze the factors affecting carbon emissions in the production process of building materials products according to the production site data, and to build a matter-element model, wherein the matter-element model includes a classical domain matter-element and a node domain matter-element;

[0090] The association acquisition module 303 is used to acquire the association function of the association degree between each influencing factor and the classical domain matter-element and the node domain matter-element based on the matter-element model;

[0091] The weight calculation module 304 is used to normalize each influencing factor and calculate the weight of each influencing factor in carbon emissions;

[0092] The carbon emission evaluation module 305 is used to obtain a carbon emission factor representing the carbon emission per unit of bulk building materials according to the correlation function and the weight.

[0093] The device of the above embodiment is applied to the corresponding method in the above embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0094] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 401, a communication interface 403, a memory 402 and a communication bus 404, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The processor may call the logic instructions in the memory to execute a carbon emission factor evaluation method based on a matter-element model, the method comprising: collecting all production site data involved in the whole process of building material product production; analyzing the factors affecting carbon emission in the production process of building material products according to the production site data and constructing a matter-element model, the matter-element model comprising a classical domain matter-element and a section domain matter-element; obtaining a correlation function of the correlation degree between each influencing factor and the classical domain matter-element and the section domain matter-element based on the matter-element model; normalizing each influencing factor and calculating the weight of each influencing factor in carbon emission; obtaining a carbon emission factor representing the carbon emission of each unit of bulk building materials according to the correlation function and the weight.

[0095] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0096] On the other hand, an embodiment of the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a carbon emission factor evaluation method based on a matter-element model provided by the above-mentioned method embodiments, the method including: collecting all production site data involved in the entire process of building materials product production; analyzing the influencing factors affecting carbon emissions in the production process of building materials products based on the production site data and constructing a matter-element model, the matter-element model including classical domain matter-element and node domain matter-element; obtaining a correlation function of the degree of correlation between each influencing factor and the classical domain matter-element and node domain matter-element based on the matter-element model; normalizing each influencing factor and calculating the weight of each influencing factor in carbon emissions; and obtaining a carbon emission factor representing the carbon emissions per unit of bulk building materials based on the correlation function and the weight.

[0097] On the other hand, an embodiment of the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute a carbon emission factor evaluation method based on a matter-element model provided in the above-mentioned embodiments, the method comprising: collecting all production site data involved in the entire process of building materials product production; analyzing the influencing factors affecting carbon emissions in the production process of building materials products based on the production site data and constructing a matter-element model, the matter-element model comprising classical domain matter-elements and node domain matter-elements; obtaining a correlation function of the degree of correlation between each influencing factor and the classical domain matter-elements and node domain matter-elements based on the matter-element model; normalizing each influencing factor and calculating the weight of each influencing factor in carbon emissions; and obtaining a carbon emission factor representing the carbon emissions per unit of bulk building materials based on the correlation function and the weight.

[0098] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0099] The above is only a partial implementation of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A carbon emission factor evaluation method based on a matter-element model, characterized in that: The method comprises: Collect all production site data involved in the entire process of building materials production; Analyze the factors affecting carbon emissions in the production process of building materials products according to the production site data, and construct a matter-element model, wherein the matter-element model includes a classical domain matter-element and a node domain matter-element; Based on the matter-element model, a correlation function is obtained to determine the correlation degree between each influencing factor and the classical domain matter-element and the section domain matter-element; Normalize the influencing factors and calculate the weight of each influencing factor in carbon emissions; A carbon emission factor representing the carbon emission per unit of bulk building materials is obtained according to the correlation function and the weight.

2. The method according to claim 1, characterized in that The collection of all production site data involved in the entire process of building materials production includes: Dividing the production process into multiple unit processes, the production process includes a raw material input process, a raw material transportation process, a production process, and a waste treatment process; Based on each unit process, the input raw material consumption data and output carbon emission data of each unit process are obtained according to the production site combined with the survey data of industry statistical data institutions and public literature data; The acquired raw material consumption data and carbon emission data are verified to obtain production site data that meets the data quality requirements.

3. The method according to claim 1, characterized in that The method of constructing a matter-element model of carbon emissions in the production process of building materials products according to the production site data includes: Determining the factors affecting the carbon emission level in the production of building materials products and the value of each of the factors according to the production site data; A matter-element model is constructed based on the matter-element theory according to the influencing factors and the corresponding values, wherein the matter-element model is based on the matter-element name of the carbon emission level. , characterize the characteristics of the influencing factors and its value To describe the research object and form an ordered triple : in, Indicates the factors that affect the carbon emission level of cement products. Influencing factors, Influencing factors The value of ; The classical domain matter-element and section domain matter-element of the matter-element model are determined according to each of the influencing factors and their values, wherein the classical domain matter-element represents the influencing factors and the corresponding value range of carbon emissions under normal production conditions, and the section domain matter-element represents the influencing factors and the corresponding value range of the maximum and minimum carbon emissions that may occur.

4. The method according to claim 3, characterized in that Determining the classical domain matter-element and the node domain matter-element of the matter-element model according to the influencing factors and their values ​​includes: Determining the value range of each influencing factor according to each influencing factor and its value; Determine the classical domain matter-element according to the influencing factors and their value ranges and section domain matter-element : in, The carbon emission level of the building materials products is classified Rating level; The first factor affecting the carbon emission level of cement products is Influencing factors; Classical domain matter-element middle About influencing factors The value range of each level is the classic domain of the corresponding evaluation index standard value. , , , Influencing factors The lower limit of the value of Influencing factors The upper limit of the value of ; in, is the total carbon emissions of cement products; Field matter element middle P About influencing factors The value range of P The section domain, and are the minimum and maximum values ​​of the interval, respectively. yes No. The union of all value ranges of the influencing factors, the allowed value range satisfies .

5. The method according to claim 4, characterized in that The step of obtaining the correlation function of the correlation degree between each influencing factor and the classical domain matter-element and the section domain matter-element based on the matter-element model includes: Based on the matter-element model, the following relationship is used to calculate the The magnitude of the influencing factor belongs to The correlation function of the evaluation levels is: in, Indicates the first The influencing factors and The degree of correlation between the evaluation levels; Classical domain matter-element middle About influencing factors The value range of Field matter element middle P About influencing factors The value range of For the Quantity To the value range The distance of a finite interval; like , , , then determine the Factors that influence Belong to Rating level.

6. The method according to claim 1, characterized in that The normalization of each of the influencing factors and calculation of the weight of each of the influencing factors in carbon emissions include: right The above mentioned influencing factors are standardized and constructed Level rank matrix; According to the rank matrix, the Rating level The numerical weight of the influencing factors , and calculate the first The entropy value of the influencing factors and coefficient of variation : in, , ， ; According to the entropy value and the coefficient of variation Calculate the The weight of each influencing factor in carbon emissions : in, .

7. The method according to claim 6, characterized in that The step of obtaining a carbon emission factor representing carbon emissions per unit of bulk building materials according to the correlation function and the weight includes: The carbon emission factor representing the carbon emission per unit of bulk building materials is calculated using the following relationship according to the correlation function and the weight: in, Indicates that the carbon emissions of building materials products belong to The degree of evaluation level, For the The weight of each influencing factor in carbon emissions, The first The influencing factors and The correlation between the evaluation levels; like ,but This is the final evaluation grade.

8. A carbon emission factor evaluation device based on a matter-element model, characterized in that: The device comprises: Data acquisition module, used to collect all production site data involved in the entire process of building materials production; A model building module, used to analyze the factors affecting carbon emissions in the production process of building materials products according to the production site data, and to build a matter-element model, wherein the matter-element model includes a classical domain matter-element and a node domain matter-element; A correlation acquisition module, used for acquiring a correlation function of the correlation degree between each influencing factor and the classical domain matter-element and the section domain matter-element based on the matter-element model; A weight calculation module, used to normalize each of the influencing factors and calculate the weight of each of the influencing factors in carbon emissions; The carbon emission evaluation module is used to obtain a carbon emission factor representing the carbon emission per unit of bulk building materials according to the correlation function and the weight.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, a carbon emission factor evaluation method based on a matter-element model as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a carbon emission factor evaluation method based on a matter-element model as described in any one of claims 1 to 7 is implemented.

Images