Carbon footprint accounting method and device, medium and electronic equipment

Abstract

The invention discloses a carbon footprint accounting method and device, a medium and electronic equipment, and the method comprises the steps: determining a process range of carbon footprint numerical value accounting of a steel product according to a carbon border adjustment mechanism, wherein the process range comprises a plurality of process units; for each process unit, acquiring category type 1 data and category type 2 data of the process unit, determining a category type 1 carbon footprint of the process unit according to the category type 1 data, and determining a category type 2 carbon footprint of the process unit according to the category type 2 data, the category type 1 data including exhaust gas emission data, direct emission data and thermal emission data, the category type 2 data comprises power emission data; determining a first total carbon footprint value of the steel product according to the type 1 carbon footprint of each process unit, determining a second total carbon footprint value of the steel product according to the type 2 carbon footprint of each process unit, and determining a target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value. The efficiency of obtaining the carbon footprint data is high.

Description

Background Art

[0002] The Carbon Border Adjustment Mechanism (CBAM), also known as carbon tariffs or carbon border taxes, is a tax levied by the European Union on the carbon emissions of some imported goods.

[0003] Currently, when calculating the carbon footprint of steel products based on CBAM, on the one hand, the list data and carbon footprint calculation results for carbon footprint calculation are obtained through offline reporting, which is inefficient, prone to data omission, and has poor explanatory power. On the other hand, the production process of steel products is complex, and for the matching process of the upstream and downstream of the main process operations in the product, as well as the flow and intersection relationship between the auxiliary operations and the main process operations, the simplification and construction of the model need to be carried out manually. Summary of the Invention

[0004] Embodiments of the present application provide a carbon footprint calculation method, device, medium, and electronic device for solving the technical problem of low efficiency in manually reporting list data when calculating the carbon footprint of steel products.

[0005] Other features and advantages of the present application will become apparent through the following detailed description, or be learned in part through the practice of the present application.

[0006] According to a first aspect of the present application, there is provided a carbon footprint calculation method, including:

[0007] Determine the process range for calculating the carbon footprint value of steel products according to the Carbon Border Adjustment Mechanism, where the process range includes multiple process units;

[0008] For each of the process units, obtain the type 1 data and type 2 data of the process unit, determine the type 1 carbon footprint of the process unit according to the type 1 data, and determine the type 2 carbon footprint of the process unit according to the type 2 data. The type 1 data includes waste gas emission data, direct emission data, and heat emission data, and the type 2 data includes electricity emission data;

[0009] Determine the first total carbon footprint value of the steel product according to the type 1 carbon footprint of each of the process units, determine the second total carbon footprint value of the steel product according to the type 2 carbon footprint of each of the process units, and determine the target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value.

[0010] In some embodiments of the present application, based on the foregoing solution, the obtaining the type 1 data and type 2 data of the process unit includes:

[0011] Determine the type of category 1 data corresponding to the category 1 data of the process unit and the type of category 2 data corresponding to the category 2 data of the process unit;

[0012] Obtain the category 1 data of the process unit from the central processor center of the steel enterprise according to the type of category 1 data and obtain the category 2 data of the process unit from the central processor center of the steel enterprise according to the type of category 2 data. The steel enterprise is the enterprise that produces the steel product. The central processor center obtains the basic data from the production bottom database of the steel enterprise and classifies the basic data according to the data type. The production bottom database monitors the production process of the steel product in real time to obtain the basic data.

[0013] In some embodiments of the present application, based on the foregoing solution, determining the first total carbon footprint value of the steel product according to the category 1 carbon footprint of each process unit, determining the second total carbon footprint value of the steel product according to the category 2 carbon footprint of each process unit, and determining the target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value includes:

[0014] Obtain a carbon footprint form to be filled, where the carbon footprint to be filled includes controls for determining the first total carbon footprint value, the second total carbon footprint value, and the target carbon footprint value;

[0015] Automatically fill the category 1 carbon footprint of each process unit and the category 2 carbon footprint of each process unit into the carbon footprint form to be filled, and determine the first total carbon footprint value, the second total carbon footprint value, and the target carbon footprint value through the controls;

[0016] Automatically fill the first total carbon footprint value, the second total carbon footprint value, and the target carbon footprint value into the carbon footprint form to be filled to obtain a filled carbon footprint form.

[0017] In some embodiments of the present application, based on the foregoing solution, the category 1 data includes the first consumption and the first emission factor, and the category 2 data includes the power consumption and the second emission factor. Determining the category 1 carbon footprint of the process unit according to the category 1 data and determining the category 2 carbon footprint of the process unit according to the category 2 data includes:

[0018] Weight the first consumption based on the first emission factor to obtain the category 1 carbon footprint of the process unit;

[0019] Weight the power consumption based on the second emission factor to obtain the category 2 carbon footprint of the process unit.

[0020] In some embodiments of the present application, based on the foregoing solution, after determining the type 1 carbon footprint, type 2 carbon footprint, and target carbon footprint value of the steel product according to the type 1 carbon footprint and type 2 carbon footprint of each process unit, the method further includes:

[0021] For each process unit, determine the carbon footprint value of the waste gas emissions of the process unit according to the waste gas emission data, determine the direct emission carbon footprint value of the process unit according to the direct emission data, determine the thermal emission carbon footprint value of the process unit according to the thermal emission data, and determine the electricity emission carbon footprint value of the process unit according to the electricity emission data;

[0022] Determine the electricity emission coefficient of the steel product, and determine the electricity unit consumption of the steel product according to the ratio of the second total carbon footprint value to the electricity emission coefficient.

[0023] In some embodiments of the present application, based on the foregoing solution, the determining the electricity emission coefficient of the steel product includes:

[0024] Obtain the total electricity consumption of the steel product, the target electricity consumption and target electricity emission coefficient of at least one type of electricity, and the types of electricity include purchased electricity, self-generated electricity, photovoltaic electricity, waste heat electricity, and pressure difference electricity;

[0025] For each type of electricity, weight the target electricity consumption based on the target electricity emission coefficient to obtain the electricity emission carbon footprint value of the type of electricity;

[0026] Sum the electricity emission carbon footprint values of each type of electricity to obtain the electricity emission carbon footprint value of the steel product;

[0027] Use the ratio of the electricity emission carbon footprint value of the steel product to the electricity unit consumption as the electricity emission coefficient of the steel product.

[0028] In some embodiments of the present application, based on the foregoing solution, after determining the electricity emission coefficient of the steel product and determining the electricity unit consumption of the steel product according to the ratio of the second total carbon footprint value to the electricity emission coefficient, the method further includes:

[0029] Obtain a form to be filled, and the form to be filled includes cells for filling in the carbon footprint value of waste gas emissions, direct emission carbon footprint value, thermal emission carbon footprint value, electricity emission carbon footprint value, electricity emission coefficient, and electricity unit consumption;

[0030] Automatically fill the waste gas emission carbon footprint value, the direct emission carbon footprint value, the thermal emission carbon footprint value, the electricity emission carbon footprint value, the electricity emission factor, and the electricity unit consumption into the corresponding cells to obtain a filled form.

[0031] According to a second aspect of the present application, there is provided a carbon footprint accounting device, the device comprising:

[0032] A first determination unit, which determines the process scope for calculating the carbon footprint value of steel products according to the carbon border adjustment mechanism, and the process scope includes a plurality of process units;

[0033] A second determination unit, for each of the process units, obtains the type 1 data and type 2 data of the process unit, determines the type 1 carbon footprint of the process unit according to the type 1 data, and determines the type 2 carbon footprint of the process unit according to the type 2 data. The type 1 data includes waste gas emission data, direct emission data, and thermal emission data, and the type 2 data includes electricity emission data;

[0034] A third determination unit, determines the first total carbon footprint value of the steel product according to the type 1 carbon footprint of each of the process units, determines the second total carbon footprint value of the steel product according to the type 2 carbon footprint of each of the process units, and determines the target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value.

[0035] According to a third aspect of the present application, there is provided a computer-readable storage medium, on which a computer program is stored, characterized in that the computer program includes executable instructions, and when the executable instructions are executed by a processor, the method described in any embodiment of the first aspect of the present application is implemented.

[0036] According to a fourth aspect of the present application, there is provided an electronic device, comprising: one or more processors; a memory for storing executable instructions of the processor, and when the executable instructions are executed by the one or more processors, the one or more processors implement the method described in any embodiment of the first aspect of the present application.

[0037] The beneficial effects of the present application are as follows:

[0038] When calculating the carbon footprint of steel products, on the one hand, the type 1 data and type 2 data are obtained, and the efficiency is higher compared to manually filling in data. On the other hand, the first total carbon footprint value, the second total carbon footprint value, and the target carbon footprint value of the steel product are output, which more comprehensively reflects the carbon footprint situation of the steel product.

[0039] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and do not limit this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with this application, and are used together with the specification to explain the principles of this application. Obviously, the drawings in the following description are only some embodiments of this application, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts. In the drawings:

[0041] Figure 1 shows a flowchart of a carbon footprint accounting method in an embodiment of this application;

[0042] Figure 2 shows a block diagram of a carbon footprint accounting device in an embodiment of this application;

[0043] Figure 3 shows a schematic diagram of a computer-readable storage medium in an embodiment of this application;

[0044] Figure 4 shows a schematic diagram of the system structure of an electronic device in an embodiment of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of this application without creative efforts fall within the scope of protection of this application.

[0046] In addition, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to give a full understanding of the embodiments of this application. However, those skilled in the art will realize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0047] The block diagrams shown in the drawings are only functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0048] The flowcharts shown in the accompanying drawings are only illustrative and do not necessarily include the content and operations / steps of the multiple burners, nor are they necessarily executed in the order described. For example, some operations / steps can be decomposed, while some operations / steps can be combined or partially combined. Therefore, the actual execution order may change according to the actual situation.

[0049] In the description of the present application, it should be understood that the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0050] Figure 1 The flowchart of a carbon footprint accounting method in an embodiment of the present application is shown. Refer to Figure 1 , a carbon footprint accounting method is provided, which at least includes S1 to S3, and is introduced in detail as follows:

[0051] In step S1, the process scope for calculating the carbon footprint value of steel products is determined according to the carbon border adjustment mechanism, and the process scope includes a plurality of process units.

[0052] In this application, the carbon border adjustment mechanism refers to the EU carbon border adjustment mechanism guidelines. The multiple process units include the sintering process, blast furnace process, steelmaking process, and rolling process. The process scope can be understood as the relevant product research boundary of the steel enterprise production process. According to the product research boundary, the steel production process can be decomposed into multiple process units, and then the steel production process can be disassembled by unit according to the actual production process of the steel process and corresponding single modules can be established. The process scope for determining the carbon footprint value calculation of steel products according to the carbon border adjustment mechanism can be understood as determining the research boundary in the steel enterprise production process according to the actual situation of the enterprise's products exported to the EU. The research boundary refers to "from cradle to gate" in product production, where the cradle only refers to the integration of the direct and indirect emissions data of the purchased sinter, purchased pellet, purchased pig iron, purchased crude steel, purchased steel products, purchased scrap steel, purchased nickel iron, purchased molybdenum iron, and purchased chromium iron in the pre-product emissions. Most of the research boundary is in the "gate to gate" process within the enterprise. The enterprise production process is converted from the "total in and total out" mode to the determination of key process units, and the process units are divided into main process and auxiliary process. Among them, the main process unit is sintering, blast furnace, steelmaking, rolling, etc., and the auxiliary process unit is self-generated power, oxygen production, blast furnace blowing, compressed air, sintering lime kiln, steelmaking sleeve kiln, etc. Each process will have its own product carbon footprint value, and finally it will be reflected in the carbon footprint value of the end product according to the matching relationship of the upstream and downstream of the process in the model. Therefore, it is necessary to deeply understand the characteristics and data reporting types of each process.

[0053] In this way, the production process of the steel enterprise under the "total in and total out" mode is disassembled into the upstream and downstream data interaction mode of process units, and the carbon footprint values of category 1 and category 2 under each process of the product can be traced transparently and clearly.

[0054] In step S2, for each of the process units, obtain the category 1 type data and category 2 type data of the process unit, determine the category 1 type carbon footprint of the process unit according to the category 1 type data, and determine the category 2 type carbon footprint of the process unit according to the category 2 type data. The category 1 type data includes waste gas emission data, direct emission data, and thermal emission data, and the category 2 type data includes electricity emission data.

[0055] In this application, obtaining the type 1 data and type 2 data of the process unit can be understood as collecting the type 1 data and type 2 data required for calculating the carbon footprint corresponding to each process unit in steel production. Determining the type 1 carbon footprint of the process unit according to the type 1 data, and determining the type 2 carbon footprint of the process unit according to the type 2 data can be understood as calculating the type 1 carbon footprint and type 2 carbon footprint corresponding to each process unit according to the collected basic data of each process unit.

[0056] In this way, for each process unit, calculate the carbon footprint according to type 1 and type 2. Through the integrated algorithm and the corresponding model establishment, based on the input-output data of the actual process, the carbon footprint values of type 1 and type 2 covering each process unit can be obtained. By integrating the data results between processes, the type 1 and type 2 values of each process are superimposed and calculated to obtain the complete carbon footprint value. During the model establishment process, based on the product names of each process, the matching between upstream and downstream is corresponding one by one. Even if the corresponding research product is adjusted in future processes, the model can automatically perform iterative calculations layer by layer according to the logic of the matched product names to ensure the accuracy of the numerical result output.

[0057] In step S3, determine the first total carbon footprint value of the steel product according to the type 1 carbon footprint of each process unit, determine the second total carbon footprint value of the steel product according to the type 2 carbon footprint of each process unit, and determine the target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value.

[0058] In this application, the first total carbon footprint value of the steel product can be understood as the type 1 carbon footprint of the steel product, the second total carbon footprint value of the steel product can be understood as the type 2 carbon footprint of the steel product, and determining the target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value can be understood as integrating the calculated type 1 and type 2 carbon data corresponding to each process unit to form the type 1 and type 2 carbon footprints of the final product. The final product is the steel product. The first total carbon footprint value of the steel product is the type 1 carbon footprint of the final product, and the second total carbon footprint value of the steel product is the type 2 carbon footprint of the final product.

[0059] In some embodiments, obtaining the type 1 data and type 2 data of the process unit includes: determining the type 1 data type corresponding to the type 1 data of the process unit and the type 2 data type corresponding to the type 2 data of the process unit; obtaining the type 1 data of the process unit from the central processor center of the steel enterprise according to the type 1 data type and obtaining the type 2 data of the process unit from the central processor center of the steel enterprise according to the type 2 data type. The steel enterprise is an enterprise that produces the steel product. The central processor center obtains the basic data from the production bottom-layer database of the steel enterprise and classifies the basic data according to the data type. The production bottom-layer database monitors the production process of the steel product in real time to obtain the basic data.

[0060] In this way, the carbon footprint data collection of the production bottom-layer database is converted from the offline manual method of the steel enterprise to the online automatic data collection and a cleaning function is set to prevent the omission and matching errors of data entry for each process unit. Compared with the traditional manual entry method, the data collection efficiency and accounting accuracy are greatly improved. The basic data is automatically transmitted to the central processor center of the steel enterprise by each production bottom-layer database at regular intervals (such as annually). In the central processor, the corresponding type 1 data (coal, coke, gas, recarburizer, etc.) and type 2 data (power consumption) are classified for subsequent carbon footprint accounting of process products.

[0061] In some embodiments, when the process unit is a sintering process, the type 1 data type is the consumption of coke, blast furnace gas, natural gas, coke oven gas, low-pressure steam, medium-pressure steam, and anthracite in the sintering process, and the type 2 data type is the power consumption of the sintering process. The power consumption of the sintering process includes the electric energy converted from the compressed air and nitrogen consumed in the sintering process.

[0062] In some embodiments, when the process unit is a blast furnace process, if the type 1 carbon footprint of the blast furnace process does not include the type 1 carbon footprint of the precursor emissions, the type 1 data type is the consumption of bituminous coal, anthracite, coke, blast furnace gas, coke oven gas, natural gas, low-pressure steam, and slag waste heat in the blast furnace process, and the type 2 data type is the power consumption of the blast furnace process. The power consumption of the blast furnace process includes the electric energy converted from the compressed air, blast furnace air blast, and nitrogen consumed in the blast furnace process.

[0063] In some embodiments, when the process unit is the blast furnace process, if the type 1 carbon footprint of the blast furnace process includes the type 1 carbon footprint of precursor emissions, the type 1 data types are the consumption amounts of bituminous coal, anthracite, coke, blast furnace gas, coke oven gas, natural gas, low-pressure steam, and the waste heat of granulated slag in the blast furnace process and the sintering process, and the type 2 data type is the power consumption amounts of the sintering process and the blast furnace process. The power consumption amounts of the sintering process and the blast furnace process include the electric energy converted from the compressed air, blast furnace air, and nitrogen consumed in the blast furnace process and the sintering process. That is, the type 1 and type 2 carbon footprint values and the corresponding consumption amounts in pellet ore and sinter ore in precursor emissions are included in the acquisition scope.

[0064] In some embodiments, when the process unit is the steelmaking process, if the type 1 carbon footprint of the blast furnace process does not include the type 1 carbon footprint of precursor emissions, the type 1 data types are the consumption amounts of coke, graphite balls, converter gas, natural gas, carburizer, medium-pressure steam, and low-pressure steam in the steelmaking process, and the type 2 data type is the power consumption amount of the steelmaking process. The power consumption amount of the steelmaking process includes the electric energy converted from the compressed air, blast furnace air, and nitrogen consumed in the steelmaking process.

[0065] In some embodiments, when the process unit is the steelmaking process, if the type 1 carbon footprint of the blast furnace process includes the type 1 carbon footprint of precursor emissions, the type 1 data types are the consumption amounts of coke, graphite balls, converter gas, natural gas, carburizer, medium-pressure steam, and low-pressure steam in the steelmaking process, the blast furnace process, and the sintering process, and the type 2 data type is the power consumption amounts of the steelmaking process, the blast furnace process, and the sintering process. The power consumption amounts of the steelmaking process, the blast furnace process, and the sintering process include the electric energy converted from the compressed air, blast furnace air, and nitrogen consumed in the steelmaking process, the blast furnace process, and the sintering process. That is, the type 1 and type 2 carbon footprint values and the corresponding consumption amounts in hot metal in precursor emissions are included in the acquisition scope.

[0066] In some embodiments, when the process unit is the rolling process, if the type 1 carbon footprint of the rolling process does not include the type 1 carbon footprint of precursor emissions, the type 1 data types are the consumption amounts of coke oven gas, blast furnace gas, converter gas, natural gas, and low-pressure steam in the rolling process, and the type 2 data type is the power consumption amount of the rolling process. The power consumption amount of the rolling process includes the electric energy converted from the compressed air, oxygen, and nitrogen consumed in the rolling process.

[0067] In some embodiments, when the process unit is a steel rolling process, if the category 1 carbon footprint of the steel rolling process includes the category 1 carbon footprint of precursor emissions, the category 1 data type is the consumption of coke, graphite balls, recarburizer, coke oven gas, blast furnace gas, converter gas, natural gas, and low-pressure steam in the steelmaking process, steel rolling process, blast furnace process, and sintering process, and the category 2 data type is the power consumption of the steelmaking process, steel rolling process, blast furnace process, and sintering process. The power consumption of the steelmaking process, steel rolling process, blast furnace process, and sintering process includes the electricity converted from the compressed air, blast furnace air, oxygen, and nitrogen consumed in the steelmaking process, steel rolling process, blast furnace process, and sintering process. That is, the category 1 and category 2 carbon footprint values and corresponding consumption amounts in the steel slab of precursor emissions are included in the acquisition scope.

[0068] In some embodiments, determining the first total carbon footprint value of the steel product according to the category 1 carbon footprint of each process unit, determining the second total carbon footprint value of the steel product according to the category 2 carbon footprint of each process unit, and determining the target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value includes: summing the category 1 carbon footprints of each process unit to obtain the first total carbon footprint value; summing the category 2 carbon footprints of each process unit to obtain the second total carbon footprint value; and summing the first total carbon footprint value and the second total carbon footprint value to obtain the target carbon footprint value.

[0069] In some embodiments, determining the first total carbon footprint value of the steel product according to the category 1 carbon footprint of each process unit, determining the second total carbon footprint value of the steel product according to the category 2 carbon footprint of each process unit, and determining the target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value includes: obtaining a carbon footprint form to be filled, where the carbon footprint to be filled includes controls for determining the first total carbon footprint value, the second total carbon footprint value, and the target carbon footprint value; automatically filling the category 1 carbon footprint of each process unit and the category 2 carbon footprint of each process unit into the carbon footprint form to be filled, and determining the first total carbon footprint value, the second total carbon footprint value, and the target carbon footprint value through the controls; and automatically filling the first total carbon footprint value, the second total carbon footprint value, and the target carbon footprint value into the carbon footprint form to be filled to obtain a filled carbon footprint form.

[0070] In some embodiments, the control includes a first control for summing the type 1 carbon footprint of each of the process units, a second control for summing the type 2 carbon footprint of each of the process units, and a third control for summing the first total carbon footprint value and the second total carbon footprint value.

[0071] In some embodiments, the type 1 data includes a first consumption amount and a first emission factor, the type 2 data includes an electricity consumption amount and a second emission factor, and determining the type 1 carbon footprint of the process unit according to the type 1 data and determining the type 2 carbon footprint of the process unit according to the type 2 data includes: weighting the first consumption amount based on the first emission factor to obtain the type 1 carbon footprint of the process unit; weighting the electricity consumption amount based on the second emission factor to obtain the type 2 carbon footprint of the process unit.

[0072] In some embodiments, it further includes: summing the type 1 carbon footprint and the type 2 carbon footprint to obtain the total carbon footprint value of the process unit.

[0073] In some embodiments, the target carbon footprint value is obtained through the following steps:

[0074] Summing the total carbon footprint values of each of the process units to obtain the target carbon footprint value.

[0075] In some embodiments, the target carbon footprint value is calculated through the following formula:

[0076] CP 钢铁产品12 = CP 烧结12 + CP 高炉12 + CP 炼钢12 + CP 轧钢12 where CP 钢铁产品12 is

[0077] the target carbon footprint value, CP 烧结12 is the total carbon footprint value of the sintering process (the carbon footprint value of sinter ore covering types 1 and 2 under the carbon border adjustment mechanism, unit: tCO2 / t), CP 高炉12 is the total carbon footprint value of the blast furnace process (the carbon footprint value of hot metal from the blast furnace covering types 1 and 2 under the carbon border adjustment mechanism, unit: tCO2 / t), CP 炼钢12 is the total carbon footprint value of the steelmaking process (the carbon footprint value of steel billets covering types 1 and 2 under the carbon border adjustment mechanism, unit: tCO2 / t), CP 轧钢12 is the total carbon footprint value of the rolling process (the carbon footprint value of steel coils covering types 1 and 2 under the carbon border adjustment mechanism, unit: tCO2 / t).

[0078] In some embodiments, the calculation formula for the Type 1 carbon footprint of the process unit is as follows:

[0079] C 工序单元i1 is the Type 1 carbon footprint of the i-th process unit (unit: tCO2), and AD ij1 is the consumption of the j-th Type 1 data of the i-th process unit (unit: t), is the first consumption of the i-th process unit, and CF i1 is the first emission factor of the i-th process unit (unit: tCO2 / t).

[0080] In some embodiments, n = 4, and AD ij1 (j = 1) = AD i煤炭 , and AD ij2 (j = 2) = AD i焦炭 , and AD ij3 ((j = 3)) = AD i煤气 , and AD ij4 (j = 4) = AD i其他 , and AD i煤炭 is the consumption of coal of the i-th process unit (unit: t), and AD i焦炭 is the consumption of coke of the i-th process unit (unit: t), and AD i煤气 is the consumption of gas (blast furnace gas, coke oven gas, converter gas) of the i-th process unit (unit: t), and AD i其他 is the consumption of other combustibles (such as recarburizer, graphite balls) of the i-th process unit (unit: t).

[0081] In some embodiments, the calculation formula for the Type 2 carbon footprint of the process unit is as follows:

[0082] C 工序单元i2 is the Type 2 carbon footprint of the i-th process unit (unit: tCO2), and AD ik2 is the consumption of the k-th Type 2 data of the i-th process unit (unit: MWh), and is the power consumption, and CF i2 is the second emission factor of the i-th process unit (unit: tCO2 / MWh).

[0083] In some embodiments, m = 2, and AD ik2 (k = 1) = AD i电力 is the consumption of electricity of the i-th process unit (unit: MWh), and AD ik2 (k = 2) = AD i其他介质 , and AD i其他介质is the consumption of nitrogen, oxygen, blast furnace air, and compressed air converted to electricity for the i-th process unit (unit: MWh).

[0084] In some embodiments, the calculation formula for the total carbon footprint value of the process unit is as follows:

[0085] C 工序单元i is the total carbon footprint value of the i-th process unit (unit: tCO2), C 工序单元i1 is the category 1 carbon footprint of the i-th process unit (unit: tCO2), AD ij1 is the consumption of the j-th type of category 1 data of the i-th process unit (unit: t, i.e., ton), is the first consumption of the i-th process unit, CF i1 is the first emission factor of the i-th process unit (unit: tCO2 / t), C 工序单元i2 is the category 2 carbon footprint of the i-th process unit (unit: tCO2, i.e., ton of carbon dioxide), AD ik2 is the consumption of the k-th type of category 2 data of the i-th process unit (unit: MWh, i.e., megawatt hour), is the electricity consumption, CF i2 The second emission factor of the i-th process unit (unit: tCO2 / MWh, i.e., ton of carbon dioxide per megawatt hour).

[0087] In some embodiments, when the first consumption is the blast furnace gas consumption or the coke oven gas consumption or the converter gas consumption, convert the blast furnace gas consumption or the coke oven gas consumption or the converter gas consumption into natural gas consumption, and the first emission factor is the carbon emission factor of natural gas, that is, convert the blast furnace gas, coke oven gas, and converter gas in the process unit into natural gas with the same heat, and calculate the corresponding gas heat after conversion according to the carbon emission factor of natural gas.

[0088] In some embodiments, the blast furnace gas consumption is the difference between the blast furnace gas generation amount and the blast furnace gas recovery amount, the coke oven gas consumption is the difference between the coke oven gas generation amount and the coke oven gas recovery amount, and the converter gas consumption is the difference between the converter gas generation amount and the converter gas recovery amount. That is, for the generating body processes that produce blast furnace gas and converter gas, such as blast furnaces, coke ovens, and converters, in the model, the recovery amounts of the three gases can be deducted according to a conversion ratio of 0.667.

[0089] It should be noted that the recovery amounts of the three types of coal gas are deducted according to a conversion ratio of 0.667. It can be understood that the blast furnace gas recovery amount is the product of the blast furnace gas generation amount and 0.667, the coke oven gas recovery amount is the product of the coke oven gas generation amount and 0.667, and the converter gas recovery amount is the product of the converter gas generation amount and 0.667.

[0090] In some embodiments, after determining the type-1 carbon footprint, type-2 carbon footprint, and target carbon footprint value of the steel product based on the type-1 carbon footprint and type-2 carbon footprint of each process unit, the method further includes: for each process unit, determining the waste gas emission carbon footprint value of the process unit according to the waste gas emission data, determining the direct emission carbon footprint value of the process unit according to the direct emission data, determining the thermal emission carbon footprint value of the process unit according to the thermal emission data, and determining the power emission carbon footprint value of the process unit according to the power emission data; determining the power emission coefficient of the steel product, and determining the power unit consumption of the steel product according to the ratio of the second total carbon footprint value to the power emission coefficient. The power unit consumption of the steel product can also be understood as the electricity specific consumption of the steel product.

[0091] In some embodiments, after determining the power emission coefficient of the steel product and determining the power unit consumption of the steel product according to the ratio of the second total carbon footprint value to the power emission coefficient, the method further includes: obtaining a form to be filled, where the form to be filled includes cells for filling in the waste gas emission carbon footprint value, direct emission carbon footprint value, thermal emission carbon footprint value, power emission carbon footprint value, power emission coefficient, and power unit consumption; automatically filling the waste gas emission carbon footprint value, the direct emission carbon footprint value, the thermal emission carbon footprint value, the power emission carbon footprint value, the power emission coefficient, and the power unit consumption into the corresponding cells to obtain a filled form.

[0092] In some embodiments, the waste gas emission data includes the coal gas consumption and the coal gas emission coefficient. The coal gas consumption includes the coke oven gas consumption, blast furnace gas consumption, and converter gas consumption. Determining the waste gas emission carbon footprint value of the process unit according to the waste gas emission data and determining the direct emission carbon footprint value of the process unit according to the direct emission data includes: weighting the coal gas emissions based on the coal gas emission coefficient to obtain the waste gas emission carbon footprint value. The coal gas consumption corresponds to the coal gas emission coefficient.

[0093] In some embodiments, when the carbon footprint value of the exhaust gas emissions does not include the carbon footprint value of the exhaust gas emissions from the precursors, the carbon footprint value of the exhaust gas emissions is calculated by the following formula: C 废气排放i = AD i焦炉煤气 × CF i焦炉煤气 + AD i高炉煤气 × CF i高炉煤气 + AD i转炉煤气 × CF i转炉煤气 , C 废气排放i is the carbon footprint value of the exhaust gas emissions of the i-th process unit, AD i焦炉煤气 is the consumption of coke oven gas of the i-th process unit, CF i焦炉煤气 is the emission factor of coke oven gas of the i-th process unit, AD i高炉煤气 is the consumption of blast furnace gas of the i-th process unit, CF i高炉煤气 is the emission factor of blast furnace gas of the i-th process unit, AD i转炉煤气 is the consumption of converter gas of the i-th process unit, CF i转炉煤气 is the emission factor of converter gas of the i-th process unit.

[0094] In some embodiments, when the carbon footprint value of the exhaust gas emissions includes the carbon footprint value of the exhaust gas emissions from the precursors, the carbon footprint value of the exhaust gas emissions is calculated by the following formula: C 废气排放i is the carbon footprint value of the exhaust gas emissions of the i-th process unit, AD j焦炉煤气 is the consumption of coke oven gas of the j-th process unit (in GJ), CF j焦炉煤气 is the emission factor of coke oven gas of the j-th process unit (in tCO2 / GJ), AD j高炉煤气 is the consumption of blast furnace gas of the j-th process unit (in GJ), CF j高炉煤气 is the emission factor of blast furnace gas of the j-th process unit (in tCO2 / GJ), AD j转炉煤气 is the consumption of converter gas of the j-th process unit (in GJ, i.e., gigajoule), CF j转炉煤气 is the emission factor of converter gas of the j-th process unit (in tCO2 / GJ, i.e., ton of carbon dioxide per gigajoule).

[0096] In some embodiments, the electricity unit consumption of the steel product is calculated by the following formula:

[0097] C 电力单位消耗量 = CP 钢铁产品2 / C 电力排放系数 , C 电力单位消耗量 is the electricity unit consumption, CP 钢铁产品2 is the second total carbon footprint value, C电力排放系数 is the electricity emission factor.

[0098] In some embodiments, the direct emission data includes the consumption of direct emission materials and the direct emission factor. The direct emission materials include coke, bituminous coal, anthracite, dolomite, and limestone. Determining the direct emission carbon footprint value of the process unit based on the direct emission data includes: weighting the consumption of the direct emission materials based on the direct emission factor to obtain the direct emission carbon footprint value. The direct emission materials correspond to the direct emission factor.

[0099] In some embodiments, when the direct emission carbon footprint value does not include the direct emission carbon footprint value of precursor emissions, the direct emission carbon footprint value is calculated by the following formula:

[0100] C 直接排放i =AD i焦炭 ×CF i焦炭 +AD i细煤 ×CF i细煤 +AD i无烟煤 ×CF i无烟煤 +

[0101] AD i白云石 ×CF i白云石 +AD i石灰石 ×CF i石灰石 , C 直接排放i is the direct emission carbon footprint value of the i-th process unit, AD i焦炭 is the coke consumption of the i-th process unit, CF i焦炭 is the coke emission factor (the direct emission factor corresponding to coke) of the i-th process unit, AD i细煤 is the fine coal consumption of the i-th process unit, CF i细煤 is the fine coal emission factor (the direct emission factor corresponding to fine coal) of the i-th process unit, AD i无烟煤 is the anthracite consumption of the i-th process unit, CF i无烟煤 is the anthracite emission factor (the direct emission factor corresponding to anthracite) of the i-th process unit, AD i白云石 is the dolomite consumption of the i-th process unit, CF i白云石 is the dolomite emission factor (the direct emission factor corresponding to dolomite) of the i-th process unit, AD i石灰石 is the limestone consumption of the i-th process unit, CF i石灰石 is the limestone emission factor (the direct emission factor corresponding to limestone) of the i-th process unit.

[0102] In some embodiments, when the direct emission carbon footprint value includes the direct emission carbon footprint value of precursor emissions, the direct emission carbon footprint value is calculated by the following formula:

[0103] C 直接排放i is the direct emission carbon footprint value of the i-th process unit, AD j焦炭 is the coke consumption of the j-th process unit, CF j焦炭 is the coke emission factor (the direct emission factor corresponding to coke) of the j-th process unit, AD i细煤 is the fine coal consumption of the j-th process unit, CF j细煤 is the fine coal emission factor (the direct emission factor corresponding to fine coal) of the j-th process unit, AD j无烟煤 is the anthracite consumption of the j-th process unit, CF j无烟煤 is the anthracite emission factor (the direct emission factor corresponding to anthracite) of the j-th process unit, AD j白云石 is the dolomite consumption of the j-th process unit, CF j白云石 is the dolomite emission factor (the direct emission factor corresponding to dolomite) of the j-th process unit, AD j石灰石 is the limestone consumption of the j-th process unit, CF j石灰石 is the limestone emission factor (the direct emission factor corresponding to limestone) of the j-th process unit.

[0105] In some embodiments, the thermal emission data includes steam consumption and steam emission factor, and determining the thermal emission carbon footprint value of the process unit according to the thermal emission data includes: weighting the steam emission amount based on the steam emission factor to obtain the thermal emission carbon footprint value.

[0106] In some embodiments, when the thermal emission carbon footprint value does not include the thermal emission carbon footprint value of precursor emissions, the thermal emission carbon footprint value is calculated by the following formula:

[0107] C 热力排放i =AD i蒸汽 ×CF i蒸汽 , C 热力排放i is the thermal emission carbon footprint value of the i-th process unit, AD i蒸汽 is the steam consumption of the i-th process unit, AD i蒸汽 is the steam emission factor of the i-th process unit.

[0108] In some embodiments, when the thermal emission carbon footprint value includes the thermal emission carbon footprint value of precursor emissions, the thermal emission carbon footprint value is calculated by the following formula:

[0109] C 热力排放i is the thermal emission carbon footprint value of the i-th process unit, AD j蒸汽 is the steam consumption of the j-th process unit, CF j蒸汽 is the steam emission factor of the j-th process unit.

[0110] In some embodiments, determining the electricity emission factor of the steel product includes: obtaining the total electricity consumption of the steel product, the target electricity consumption and the target electricity emission factor of at least one type of electricity, where the types of electricity include purchased electricity, self-generated electricity, photovoltaic electricity, waste heat power generation, and pressure difference electricity; for each type of electricity, weighting the target electricity consumption based on the target electricity emission factor to obtain the electricity emission carbon footprint value of the type of electricity; summing the electricity emission carbon footprint values of each type of electricity to obtain the electricity emission carbon footprint value of the steel product; and taking the ratio of the electricity emission carbon footprint value of the steel product to the electricity unit consumption as the electricity emission factor of the steel product.

[0111] In some embodiments, the calculation formula for the electricity emission carbon footprint value of the steel product is as follows:

[0112] C 电力排放 =AD 外购电 ×CF 外购电 +AD 自发电 ×CF 自发电 +AD 光伏电 ×

[0113] CF 光伏电 +AD 余热发电 ×CF 余热发电 +AD 压差电 ×CF 压差电 , AD 外购电 is the consumption of purchased electricity for the steel product (unit: MWh), CF 外购电 is the emission factor of purchased electricity for the steel product (unit: tCO2 / MWh), AD 自发电 is the consumption of self-generated electricity for the steel product (unit: MWh), CF 自发电 is the emission factor of self-generated electricity for the steel product (unit: tCO2 / MWh), AD 光伏电 is the consumption of photovoltaic electricity for the steel product (unit: MWh), CF 光伏电 is the emission factor of photovoltaic electricity for the steel product (unit: tCO2 / MWh), AD 余热发电 is the waste heat power generation of the steel product (unit: MWh), CF 余热发电 is the emission factor of waste heat power generation for the steel product (unit: tCO2 / MWh), AD压差电 is the differential pressure electricity consumption of steel products (unit: MWh), CF 压差电 is the emission factor of differential pressure electricity of steel products (unit: tCO2 / MWh).

[0114] In some embodiments, the total electricity consumption of the steel products is calculated by the following formula:

[0115] AD 产品总用电 = AD 外购电 + AD 自发电 + AD 光伏电 + AD 余热发电 + AD 压差电 , AD 产品总用电 is the total electricity consumption of steel products (unit: MWh), AD 外购电 is the consumption of purchased electricity of steel products, AD 自发电 is the consumption of self-generated electricity of steel products, AD 光伏电 is the consumption of photovoltaic electricity of steel products, AD 余热发电 is the waste heat power generation of steel products, AD 压差电 is the consumption of differential pressure electricity of steel products.

[0116] In some embodiments, the electricity emission factor of the steel products is calculated by the following formula:

[0117] C 电力排放系数 =(AD 外购电 × CF 外购电 + AD 自发电 × CF 自发电 + AD 光伏电 ×

[0118] CF 光伏电 + AD 余热发电 × CF 余热发电 + AD 压差电 × CF 压差电 ) / AD 产品总用电 .

[0119] In some embodiments, after determining the waste gas emission carbon footprint value of the process unit according to the waste gas emission data, determining the direct emission carbon footprint value of the process unit according to the direct emission data, determining the thermal emission carbon footprint value of the process unit according to the thermal emission data, and determining the electricity emission carbon footprint value of the process unit according to the electricity emission data, it further includes: summing the waste gas emission carbon footprint value and the thermal emission carbon footprint value to obtain the type 1 carbon footprint.

[0120] In some embodiments, the type 1 carbon footprint is calculated by the following formula: C 工序单元i1 = C废气排放i +C 直接排放i +C 热力排放i ,C 工序单元i1 is the type 1 carbon footprint of the i-th process unit, C 废气排放i is the carbon footprint value of the waste gas emissions of the i-th process unit, C 直接排放i is the carbon footprint value of the direct emissions of the i-th process unit, C 热力排放i is the carbon footprint value of the thermal emissions of the i-th process unit.

[0121] In some embodiments, the power emission factor of the self-generated electricity is obtained through the following steps: obtaining the total carbon emissions of the power plant, the weight factor of the power emissions of the power generation process, and the total power generation; weighting the total emission carbon footprint value based on the weight factor of the power emissions to obtain the power emission carbon footprint value of the power generation process; taking the ratio of the power emission carbon footprint value of the power generation process to the total power generation as the power emission factor of the self-generated electricity.

[0122] In some embodiments, when the power plant is in the combined heat and power generation mode, the total carbon emissions of the power plant are calculated by the following formula:

[0123] C 自发电 =AD 自发电煤气 ×CF 自发电煤气 +AD 自发电煤炭 ×CF 自发电煤炭 +

[0124] AD 自发电焦炭 ×CF 自发电焦炭 +AD 自发电其他 ×CF 自发电其他 ,C 自发电 is the total carbon emissions of the power plant (in tCO2), AD 自发电煤气 is the gas consumption of the power plant (in GJ), CF 自发电煤气 is the gas emission factor of the power plant (in tCO2 / GJ), AD 自发电煤炭 is the coal consumption of the power plant (in GJ), CF 自发电煤炭 is the coal emission factor of the power plant (in tCO2 / GJ), AD 自发电焦炭 is the coke consumption of the power plant (in GJ), CF 自发电焦炭 is the coke emission factor of the power plant (in tCO2 / GJ), AD 自发电其他 is the consumption of other materials of the power plant (in GJ), CF 自发电其他 is the emission factor of other materials of the power plant (in tCO2 / GJ).

[0125] In some embodiments, the power emission factor of the self-generated electricity is calculated by the following formula:

[0126] CF 电力 =(C 自发电 ×F CHP电 ) / AP 自发电 ,CF 电力 is the power emission factor of self-generated electricity, C 自发电 is the total carbon emissions of the power plant, F CHP电 is the weight coefficient of power emission in the power generation process, AP 自发电 is the total power generation.

[0127] In some embodiments, the weight coefficient of power emission in the power generation process is calculated by the following formula:

[0128] F CHP电 is the weight coefficient of power emission in the power generation process (unit: %), η el is the working efficiency of self-generated power (unit: %), η refel is the reference working efficiency of self-generated power (unit: %), η heat is the thermal working efficiency of self-generated power (unit: %), η refheat is the reference thermal working efficiency of self-generated power (unit: %).

[0129] In some embodiments, the thermal emission factor is obtained through the following steps: obtaining the total carbon emissions of the power plant, the weight coefficient of thermal emission in the power generation process, and the total self-generated heat in the power generation process; weighting the total emission carbon footprint value based on the weight coefficient of thermal emission in the power generation process to obtain the total thermal carbon emissions of the power generation process; taking the ratio of the total thermal carbon emissions of the power generation process to the total self-generated heat in the power generation process as the thermal emission factor.

[0130] In some embodiments, the thermal emission factor is calculated by the following formula:

[0131] CF 热力 =(C 自发电 ×F CHP热力 ) / AP 自发热力 ,CF 热力 is the thermal emission factor, C 自发电 is the total carbon emissions of the power plant, F CHP热力 is the weight coefficient of thermal emission in the power generation process, AP 自发电 is the total self-generated heat in the power generation process.

[0132] In some embodiments, the weight coefficient of thermal emission in the power generation process is calculated by the following formula:

[0133] F CHP电is the weight coefficient of the power emission in the power generation process (unit: %), η el is the working efficiency of the self-generated power (unit: %), η refel is the reference working efficiency of the self-generated power (unit: %), η heat is the thermal working efficiency of the self-generated power (unit: %), η refheat is the thermal reference working efficiency of the self-generated power (unit: %).

[0134] In this way, the recovered gas generated in the gas generator process, such as blast furnaces, coke ovens, and converters, is programmed with a coefficient of 0.667, enabling the standard docking of system automation after the acquisition of activity data; the emission coefficients of electricity and heat are determined by the respective energy proportions of the power generation working efficiency and the thermal working efficiency in the cogeneration mode to allocate the total carbon emissions, and then the carbon emission intensities of the heat and electricity coefficients can be indirectly obtained and applied to the product carbon footprint accounting.

[0135] In this application, when calculating the carbon footprint of steel products, on the one hand, the type 1 data and type 2 data are obtained through acquisition, which is more efficient than manually filling in data. On the other hand, the first total carbon footprint value, the second total carbon footprint value, and the target carbon footprint value of the output steel products are output, more comprehensively reflecting the carbon footprint situation of the steel products.

[0136] It should be noted that the carbon footprint calculation of this application and the acquisition of the corresponding basic activity data are based on the research boundary under the EU carbon border adjustment mechanism, which is different from the research boundary under the full life cycle method. This carbon footprint accounting method only covers the carbon footprint values of product category 1 and category 2 and the processes only include the main process operations such as sintering, blast furnace, steelmaking, and rolling, as well as the auxiliary processes such as oxygen production, blast furnace blowing, compressed air, sintered lime, and steelmaking sleeve kiln. The model is established by refining the enterprise's "total in and total out" mode to a monomer model and covering type 1 and type 2 data during the data acquisition process. For the conversion process of the gas generator, the activity data needs to be filled in according to the conversion efficiency of 0.667 at the same heat of the corresponding natural gas. The emissions of electricity and heat are determined according to the proportion of the working efficiency of heat and electricity in the cogeneration mode. After splitting the processes, the online accounting of numerical results and the standardized conversion of relevant activity data can be carried out through system automation. The type 1 and type 2 carbon footprint values of the final product can be obtained by the way of superposition and integration between processes, and the type 1 and type 2 carbon footprint values are respectively corresponding to the relevant positions of waste gas emissions, direct emissions, heat emissions, electricity emissions, electricity emission coefficients, and product electricity specific consumption in the official standard filling form.

[0137] In addition, this application will determine the greenhouse gas emission algorithm for enterprises to pay carbon tariffs for products exported to the EU based on the carbon footprint accounting method of steel products under the carbon border adjustment mechanism. First, the data provider for carbon footprint accounting under this carbon border adjustment mechanism can collect data online according to Emission Category 1 and Category 2 and design a data verification function, avoiding problems such as data omission, low quality, incorrect matching type, and data conversion that are prone to occur in offline data collection, improving the efficiency of data collection and quality management. The collected Emission Category 1 and Category 2 data are extended from the enterprise factory boundary to process levels such as sintering, ironmaking, steelmaking, and rolling. The complex process flow of the steel enterprise is disassembled by process, increasing the accuracy and precision of carbon footprint description at each stage of the process. Through data interaction by combining the upstream and downstream relationships between processes such as sintering, ironmaking, steelmaking, and rolling, the relevance of heat in Emission Category 1, electricity in Emission Category 2, and the corresponding energy medium auxiliary processes to the main process, this relationship is built into the carbon footprint model under the carbon border adjustment mechanism of steel products, which can simplify the data work between process footprints and form carbon footprint values statistically by Emission Category 1 and Category 2 at each process stage. This method can integrate the carbon footprint values of each process in the system and form the carbon footprint values of each process and the final product for the carbon border adjustment mechanism according to four emission types: waste gas, direct emission, heat, and electricity, and correspond them to the corresponding positions in the EU official form to quickly obtain the calculation results.

[0138] Figure 2 The block diagram of a carbon footprint accounting device in an embodiment of this application is shown. Refer to Figure 2 According to the second aspect of this application, a carbon footprint accounting device 100 is provided. The device includes:

[0139] A first determination unit 101 determines the process scope for carbon footprint value accounting of steel products according to the carbon border adjustment mechanism. The process scope includes multiple process units;

[0140] A second determination unit 102 obtains the Emission Category 1 data and Emission Category 2 data of each process unit, determines the Emission Category 1 carbon footprint of the process unit according to the Emission Category 1 data, and determines the Emission Category 2 carbon footprint of the process unit according to the Emission Category 2 data. The Emission Category 1 data includes waste gas emission data, direct emission data, and heat emission data, and the Emission Category 2 data includes electricity emission data;

[0141] A third determination unit 103 determines a first total carbon footprint value of the steel product according to the type-1 carbon footprints of the respective process units, determines a second total carbon footprint value of the steel product according to the type-2 carbon footprints of the respective process units, and determines a target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value.

[0142] Based on the same inventive concept, as a third aspect, the present application also provides a computer-readable storage medium having stored thereon a program product capable of implementing the above-described vehicle position positioning method of this specification. In some possible implementation manners, various aspects of the present application can also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to cause the terminal device to execute the steps according to various exemplary embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0143] Reference Figure 3 As shown, a program product 200 for implementing the above method according to an embodiment of the present application is described. It can be a portable compact disc read-only memory (CD-ROM) and includes program code, and can run on a terminal device, such as a personal computer. However, the program product of the present application is not limited thereto. In this document, the readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0144] The program product can adopt any combination of one or more readable media. The readable media can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0145] The computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries the readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable signal medium can also be any readable medium other than the readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0146] The program code contained on a readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0147] The program code for performing the operations of the present application can be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user device, executed as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., by connecting through the Internet using an Internet service provider).

[0148] As another aspect, the present application also provides an electronic device capable of implementing the above method.

[0149] Those skilled in the art can understand that various aspects of the present application can be implemented as a system, method, or program product. Therefore, various aspects of the present application can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to herein as "circuitry", "module", or "system".

[0150] Reference will now be made to Figure 4 to describe the electronic device 300 according to this embodiment of the present application. Figure 4 The electronic device 300 shown is merely an example and should not impose any limitation on the functions and scope of use of the embodiments of the present application.

[0151] As Figure 4 shown, the electronic device 300 is presented in the form of a general-purpose computing device. The components of the electronic device 300 may include but are not limited to: at least one of the above-mentioned processing units 310, at least one of the above-mentioned storage units 320, and a bus 330 connecting different system components (including the storage unit 320 and the processing unit 310).

[0152] Wherein, the storage unit stores program code, and the program code can be executed by the processing unit 310, so that the processing unit 310 executes the steps according to various exemplary embodiments of the present application described in the "Embodiment Method" section of this specification.

[0153] The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access memory (RAM) 321 and / or a cache storage unit 322, and may further include a read-only memory (ROM) 323.

[0154] The storage unit 320 may also include a program / utilities 324 having a set (at least one) of program modules 325. Such program modules 325 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment.

[0155] The bus 330 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus structures.

[0156] The electronic device 300 may also communicate with one or more external devices 400 (such as a keyboard, a pointing device, a Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 300, and / or may communicate with any device that enables the electronic device 300 to communicate with one or more other computing devices (such as a router, a modem, etc.). Such communication may be through an input / output (I / O) interface 350. And, the electronic device 300 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 360. As Figure 4 shown, the network adapter 360 communicates with other modules of the electronic device 300 through the bus 330. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0157] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on a computer-readable medium or transmitted via a computer-readable medium as one or more instructions or codes. Other examples and implementations are within the scope and spirit of the present application and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwiring, or any combination of these. In addition, each functional unit may be integrated in one processing unit, may exist as a separate physical unit, or two or more units may be integrated in one unit.

[0158] In several embodiments provided by the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of units or modules can be in an electrical or other form.

[0159] The units described as separate components may or may not be physically separated. The components serving as control devices may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0160] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0161] The above description is only for the embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A carbon footprint calculation method, characterized in that: include: Determine the process scope for carbon footprint numerical accounting of steel products according to the carbon border adjustment mechanism, where the process scope includes multiple process units; For each of the process units, obtain the category 1 data and the category 2 data of the process unit, determine the category 1 carbon footprint of the process unit according to the category 1 data, and determine the category 2 carbon footprint of the process unit according to the category 2 data, wherein the category 1 data includes exhaust gas emission data, direct emission data and thermal emission data, and the category 2 data includes electricity emission data; The first total carbon footprint value of the steel product is determined according to the Category 1 carbon footprint of each of the process units, the second total carbon footprint value of the steel product is determined according to the Category 2 carbon footprint of each of the process units, and the target carbon footprint value of the steel product is determined according to the first total carbon footprint value and the second total carbon footprint value.

2. A carbon footprint calculation method according to claim 1, characterized in that: The obtaining of the category 1 data and the category 2 data of the process unit includes: Determine the type 1 data type corresponding to the type 1 data of the process unit and the type 2 data type corresponding to the type 2 data of the process unit; According to the category 1 data type, the category 1 data of the process unit is obtained from the central processing unit center of the steel enterprise, and according to the category 2 data type, the category 2 data of the process unit is obtained from the central processing unit center of the steel enterprise. The steel enterprise is an enterprise that produces the steel products. The central processing unit center obtains basic data from the production underlying database of the steel enterprise and classifies the basic data according to the data type. The production underlying database monitors the production process of the steel products in real time to obtain the basic data.

3. A carbon footprint calculation method according to claim 1, characterized in that: The determining of the first total carbon footprint value of the steel product according to the category 1 carbon footprint of each of the process units, determining the second total carbon footprint value of the steel product according to the category 2 carbon footprint of each of the process units, and determining the target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value include: Obtaining a carbon footprint form to be filled in, wherein the carbon footprint to be filled in includes controls for determining a first total carbon footprint value, a second total carbon footprint value, and a target carbon footprint value; Automatically fill the category 1 carbon footprint of each process unit and the category 2 carbon footprint of each process unit into the carbon footprint table to be filled in, and determine the first total carbon footprint value, the second total carbon footprint value and the target carbon footprint value through the control; The first total carbon footprint value, the second total carbon footprint value and the target carbon footprint value are automatically filled into the carbon footprint form to be filled in, so as to obtain a filled carbon footprint form.

4. A carbon footprint calculation method according to claim 1, characterized in that: The category 1 type data includes a first consumption and a first emission coefficient, the category 2 type data includes power consumption and a second emission coefficient, and determining the category 1 type carbon footprint of the process unit according to the category 1 type data, and determining the category 2 type carbon footprint of the process unit according to the category 2 type data, includes: Weighting the first consumption based on the first emission coefficient to obtain a Category 1 carbon footprint of the process unit; The electricity consumption is weighted based on the second emission coefficient to obtain a Category 2 carbon footprint of the process unit.

5. A carbon footprint calculation method according to claim 1, characterized in that: After determining the Category 1 carbon footprint, Category 2 carbon footprint and target carbon footprint value of the steel product according to the Category 1 carbon footprint and Category 2 carbon footprint of each of the process units, the method further includes: For each process unit, determine the exhaust gas emission carbon footprint value of the process unit according to the exhaust gas emission data, determine the direct emission carbon footprint value of the process unit according to the direct emission data, determine the thermal emission carbon footprint value of the process unit according to the thermal emission data, and determine the electricity emission carbon footprint value of the process unit according to the electricity emission data; An electricity emission coefficient of the steel product is determined, and a unit electricity consumption of the steel product is determined based on a ratio of the second total carbon footprint value to the electricity emission coefficient.

6. A carbon footprint calculation method according to claim 5, characterized in that: Determining the electricity emission coefficient of the steel product includes: Obtaining the total electricity consumption of the steel product, the target electricity consumption of at least one type of electricity, and the target electricity emission coefficient, wherein the electricity types include purchased electricity, self-generated electricity, photovoltaic electricity, waste heat power generation, and differential pressure electricity; For each of the electricity types, weighting the target electricity consumption based on the target electricity emission coefficient to obtain a carbon footprint value of the electricity emission of the electricity type; Sum the carbon footprint values ​​of electricity emissions of each type of electricity to obtain the carbon footprint value of electricity emissions of the steel product; The ratio of the carbon footprint value of the electricity emission of the steel product to the unit consumption of electricity is used as the electricity emission coefficient of the steel product.

7. A carbon footprint calculation method according to claim 5, characterized in that: After determining the electricity emission coefficient of the steel product, and determining the unit electricity consumption of the steel product according to the ratio of the second total carbon footprint value and the electricity emission coefficient, the method further includes: Obtaining a form to be filled in, the form to be filled in comprising cells for filling in exhaust gas emission carbon footprint values, direct emission carbon footprint values, thermal emission carbon footprint values, electricity emission carbon footprint values, electricity emission coefficients, and unit electricity consumption; The exhaust gas emission carbon footprint value, the direct emission carbon footprint value, the thermal emission carbon footprint value, the electricity emission carbon footprint value, the electricity emission coefficient and the unit electricity consumption are automatically filled into corresponding cells to obtain a filled-in table.

8. A carbon footprint calculation device, characterized in that: The device comprises: A first determination unit determines a process scope for calculating the carbon footprint of steel products according to the carbon border adjustment mechanism, wherein the process scope includes a plurality of process units; a second determination unit, for each of the process units, acquiring category 1 data and category 2 data of the process unit, determining the category 1 carbon footprint of the process unit according to the category 1 data, and determining the category 2 carbon footprint of the process unit according to the category 2 data, wherein the category 1 data includes exhaust gas emission data, direct emission data and thermal emission data, and the category 2 data includes electricity emission data; a third determination unit, which determines a first total carbon footprint value of the steel product according to the category 1 carbon footprint of each of the process units, determines a second total carbon footprint value of the steel product according to the category 2 carbon footprint of each of the process units, and determines a target carbon footprint value of the steel product according to the first total carbon footprint value and the second total carbon footprint value.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer program includes executable instructions, and when the executable instructions are executed by a processor, the method described in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: one or more processors; A memory for storing executable instructions of the processor, wherein when the executable instructions are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

Images