Method and apparatus for calculating carbon emissions of steel structural members, device, medium and product

Abstract

A method and apparatus for calculating carbon emissions of steel structural members, a device, a medium and a product. The method comprises: performing data monitoring and acquisition on a prefabrication procedure of each steel structural member, so as to obtain energy consumption data, material consumption data and dynamic change data of the concentration of ambient CO2; on the basis of the dynamic change data of the concentration of ambient CO2, calculating the amount of fugitive greenhouse gas emissions; on the basis of the energy consumption data, the material consumption data and the amount of fugitive greenhouse gas emissions, calculating carbon emissions of the prefabrication process of each steel structural member and carbon emissions of workshop shared items; and summing the carbon emissions of the prefabrication process and the carbon emissions of the workshop shared items to obtain carbon emissions of the prefabrication procedure of each steel structural member. The method takes into account all energy and material consumptions generated in a steel member prefabrication stage due to member prefabrication needs, carbon emissions of workshop shared items and carbon emissions caused by fugitive greenhouse gas emissions, thereby effectively improving the accuracy of carbon emission calculation for steel structural members.

Description

Methods, devices, equipment, media, and products for calculating carbon emissions from steel structure components Technical Field

[0001] This invention relates to the field of carbon emission calculation technology, and in particular to a method, apparatus, equipment, medium and product for calculating carbon emissions from steel structure components. Background Technology

[0002] The construction industry is a significant contributor to China's carbon emissions, accounting for over 20% of total social carbon emissions from raw material extraction, production, transportation, and construction processes. Steel structures are a crucial component of China's new industrialized construction and prefabricated building practices. Currently, relevant carbon emission calculations primarily focus on the steel industry or production enterprises, based on the input-output method. This method defines the carbon emission calculation boundary as carbon emissions occurring within the enterprise's production system, including fossil fuel combustion, production processes, purchased electricity and heat, and carbon sequestration products.

[0003] However, this calculation method is applicable to macro-level industry, organization, and enterprise levels, but not to product carbon emission measurement. The calculation results only provide total carbon emission data, failing to reflect intermediate processes or present carbon emission sources. Furthermore, dividing total carbon emissions by the factory's total output over the corresponding period yields an average carbon emission value for steel, which cannot reflect the differences in carbon emissions between different steel structure products. Additionally, because production and other energy uses (such as living activities) are not separated in actual factory data management, the data collected at the enterprise level is mixed with non-production energy consumption to varying degrees. At the same time, this method's calculation items are incomplete, failing to consider carbon emissions caused by material consumption and fugitive greenhouse gas emissions; leading to inaccurate calculation results. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method, apparatus, equipment, medium and product for calculating carbon emissions of steel structure components, which takes into account all energy and material consumption generated during the prefabrication stage of steel components, carbon emissions from shared projects in the workshop, and carbon emissions caused by fugitive greenhouse gas emissions, thereby effectively improving the accuracy of carbon emission calculation for steel structure components.

[0005] To achieve the above objectives, embodiments of the present invention provide a method for calculating carbon emissions from steel structure components, including:

[0006] Data is collected and monitored during the prefabrication process of each steel structure component to obtain energy consumption data, material consumption data, and dynamic changes in environmental CO2 concentration for each steel structure component.

[0007] Based on the dynamic change data of environmental CO2 concentration, the amount of unorganized greenhouse gas emissions is calculated;

[0008] Based on the energy consumption data, the material consumption data, and the fugitive emissions of greenhouse gases, calculate the carbon emissions of each steel structure component prefabrication process and the carbon emissions of shared workshop projects.

[0009] The carbon emissions of the prefabrication process and the carbon emissions of the shared projects in the workshop are added together to obtain the carbon emissions of each steel structure component prefabrication process.

[0010] As an improvement to the above scheme, the calculation of fugitive greenhouse gas emissions based on the dynamic change data of environmental CO2 concentration includes:

[0011] Based on the dynamic change data of CO2 concentration, a CO2 concentration-time curve was obtained by fitting, and the peak value of CO2 concentration was determined.

[0012] Based on the CO2 concentration-time curve and the peak CO2 concentration, the start time of CO2 release and the end time of CO2 decay are determined; wherein, the period from the start time of release to the peak CO2 concentration is the CO2 release period, and the period from the peak CO2 concentration to the end time of decay is the CO2 decay period.

[0013] The CO2 decay period of the CO2 concentration-time curve is fitted to calculate the CO2 release rate;

[0014] Calculate the amount of unorganized greenhouse gas emissions based on the CO2 release rate.

[0015] As an improvement to the above scheme, the carbon emissions of the prefabrication process include the carbon emissions of the prefabrication process in the plant and the carbon emissions of the prefabrication process in the outsourced plant, and the carbon emissions of the shared workshop projects include the carbon emissions of the shared workshop projects in the plant and the carbon emissions of the shared workshop projects in the outsourced plant.

[0016] As an improvement to the above scheme, the carbon emission calculation method for the prefabrication process is as follows:

[0017] At least one prefabrication process of the steel structure component is determined, as well as the functional unit corresponding to each prefabrication process; wherein, the functional unit is a basic unit for calculating the carbon emissions of the corresponding prefabrication process;

[0018] The carbon emissions of each prefabrication process are calculated based on the number of functional units, energy consumption data, material consumption data, fugitive greenhouse gas emissions, carbon emission factor, and global warming potential of greenhouse gases corresponding to each prefabrication process.

[0019] As an improvement to the above scheme, the carbon emission calculation method for the shared workshop project is as follows:

[0020] The carbon emissions of the shared projects in the workshop are calculated based on the energy consumption data, material consumption data, carbon emission factor, weight of the steel structure components, and total weight of the prefabricated components in the workshop for each shared project in the workshop.

[0021] As an improvement to the above solution, the method further includes:

[0022] The carbon emissions of each steel structure component prefabrication process, the carbon emissions of each prefabrication step, the carbon emissions of the shared projects in the workshop, and the process analysis list are stored in a hierarchical manner; wherein, the process analysis list includes data on energy and material consumption, fugitive greenhouse gas emissions, and corresponding carbon emission factors.

[0023] This invention also provides a carbon emission calculation device for steel structure components, comprising:

[0024] The data acquisition module is used to monitor and collect data on the prefabrication process of each steel structure component, so as to obtain energy consumption data, material consumption data and dynamic changes in environmental CO2 concentration for each steel structure component.

[0025] The emission calculation module is used to calculate the amount of greenhouse gas fugitive emissions based on the dynamic change data of the environmental CO2 concentration.

[0026] The sub-item carbon emission calculation module is used to calculate the carbon emissions of each of the steel structure component prefabrication processes and the carbon emissions of shared projects in the workshop based on the energy consumption data, the material consumption data and the fugitive emissions of greenhouse gases.

[0027] The steel component carbon emission calculation module is used to add the carbon emissions of the prefabrication process and the carbon emissions of the shared projects in the workshop to obtain the carbon emissions of each steel structure component prefabrication process.

[0028] This invention also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the carbon emission calculation method for steel structure components described above.

[0029] This invention also provides a computer-readable storage medium, which includes a stored computer program, wherein the computer program, when running, controls the device where the computer-readable storage medium is located to execute the carbon emission calculation method for steel structure components described above.

[0030] This invention also provides a computer program product, which includes a computer program or computer instructions. When the computer program or computer instructions are executed by a processor, they implement the carbon emission calculation method for steel structure components described above.

[0031] Compared to existing technologies, the beneficial effects of the carbon emission calculation method, apparatus, equipment, medium, and product for steel structure components provided by this invention are as follows: By monitoring and collecting data on the prefabrication process of each steel structure component, energy consumption data, material consumption data, and dynamic changes in environmental CO2 concentration are obtained for each steel structure component; based on the dynamic changes in environmental CO2 concentration, the amount of fugitive greenhouse gas emissions is calculated; based on the energy consumption data, the material consumption data, and the amount of fugitive greenhouse gas emissions, the carbon emissions of each prefabrication process of the steel structure component and the carbon emissions of shared workshop projects are calculated; the carbon emissions of the prefabrication process and the carbon emissions of shared workshop projects are added together to obtain the carbon emissions of each prefabrication process of the steel structure component. This invention considers all energy and material consumption required for component prefabrication, carbon emissions from shared workshop projects, and carbon emissions caused by fugitive greenhouse gas emissions during the prefabrication stage of the steel structure component, thereby effectively improving the accuracy of carbon emission calculation for steel structure components. Attached Figure Description

[0032] Figure 1 is a flowchart illustrating a preferred embodiment of a method for calculating carbon emissions from steel structure components provided by the present invention.

[0033] Figure 2 is a schematic diagram of the stage division framework for the entire life cycle of a building as specified in the international standard ISO 21930;

[0034] Figure 3 is a schematic diagram of prefabricated carbon emission metering in the prior art;

[0035] Figure 4 is a schematic diagram of carbon emission measurement in the prefabrication process of a carbon emission calculation method for steel structure components provided by the present invention.

[0036] Figure 5 is a schematic diagram of the hierarchical storage of calculation data in a carbon emission calculation method for steel structure components provided by the present invention.

[0037] Figure 6 is a schematic diagram of a preferred embodiment of a carbon emission calculation device for steel structure components provided by the present invention;

[0038] Figure 7 is a structural schematic diagram of a preferred embodiment of a terminal device provided by the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] Please refer to Figure 1, which is a flowchart illustrating a preferred embodiment of a method for calculating carbon emissions from steel structure components provided by the present invention. The method for calculating carbon emissions from steel structure components includes:

[0041] S1, Data monitoring and collection are performed on the prefabrication process of each steel structure component to obtain energy consumption data, material consumption data and dynamic changes in environmental CO2 concentration for each steel structure component;

[0042] S2, Calculate the amount of unorganized greenhouse gas emissions based on the dynamic change data of the environmental CO2 concentration;

[0043] S3, Calculate the carbon emissions of each steel structure component prefabrication process and the carbon emissions of shared workshop projects based on the energy consumption data, the material consumption data and the unorganized emission of greenhouse gases.

[0044] S4, add the carbon emissions of the prefabrication process and the carbon emissions of the shared project in the workshop to obtain the carbon emissions of each steel structure component prefabrication process.

[0045] It should be noted that, as a major industrial raw material, carbon emissions from steel production have received considerable attention both domestically and internationally. Based on the general principles of carbon emission calculation for other industries or products, methods for calculating carbon emissions specific to the steel industry and steel materials have been developed. Internationally, relevant carbon emission calculations primarily focus on the steel industry or production enterprise level, using the input-output method as the basis. Correspondingly, China has issued standards related to steel carbon emission calculations, such as the "Guidelines for Greenhouse Gas Emission Accounting and Reporting Methods of Chinese Steel Production Enterprises (Trial)" and "Requirements for Greenhouse Gas Emission Accounting and Reporting – Steel Production Enterprises." The latter stipulates that the carbon emission calculation boundary is the carbon emissions occurring within the enterprise's production system, including fossil fuel combustion, production processes, purchased electricity and heat, and carbon sequestration products.

[0046] However, existing technologies have the following limitations:

[0047] 1) The above methods are applicable to macro-level industry, organization, and enterprise levels, but not to product carbon emission measurement. Using the entire system as a boundary, input-output (IO) analysis can reflect the physical relationship between energy and material inputs and outputs. It requires less data, is highly operable, and is suitable for macro-level system analysis (national, departmental, or organizational levels). However, the calculation results only provide total carbon emission data and cannot reflect intermediate processes or present carbon emission sources. Furthermore, due to the lack of separation between production and other energy uses such as domestic use in actual factory data management, the data collected at the enterprise level is mixed with non-production energy consumption to varying degrees.

[0048] 2) The calculation results cannot reflect the differences in carbon emissions between different steel structure products. Dividing the total carbon emissions by the total factory output during the corresponding period yields an average carbon emission of steel. This is not a problem for some highly standardized products with small differences between different models. However, prefabricated steel structure products are usually customized according to project needs. The processing procedures and workload of each product are different, resulting in significant differences between them. If an average value is used, there will undoubtedly be a huge gap between it and the actual situation.

[0049] 3) In practice, incomplete data collection is easily caused by the outsourcing of processing procedures. Research shows that steel structure processing equipment is expensive, and the scale and types of machinery vary among factories. Some factories have complete prefabrication processes, while others may have some outsourced. Therefore, the carbon emission measurement boundary for steel structure products is not equivalent to the physical boundary. For cases where processes are outsourced, the data for those outsourced processes should be traced; otherwise, complete product carbon emission data cannot be obtained.

[0050] Based on this, this invention provides a method for calculating carbon emissions from steel structure components. It employs a process analysis (PA) approach to measure the carbon emissions of steel structure components (hereinafter referred to as steel components). First, it identifies all relevant items related to carbon emissions before the steel component leaves the factory, measures the carbon emissions of each item individually, and then accumulates the carbon emissions at the final prefabrication stage of the steel component. Please refer to Figure 2, which is a schematic diagram of the life-cycle stage division of buildings as specified in the international standard ISO 21930, "Durability of buildings and civil works – Core rules for building products and services declarations for the environment." Corresponding to ISO 21930, the carbon emissions from building material production include three parts: raw material extraction (A1), raw material transportation to the building material processing plant (A2), and building material production (A3). A1-A3 of the ISO 21930 standard are often referred to as the "cradle-to-gate" stage, which is also the stage covered by general product carbon labeling data. This invention focuses on the A3 stage, which is the stage where steel raw materials (steel plates) transported to the prefabricated steel structure component processing plant are prefabricated into various steel components. It should be noted that the carbon emissions in stage A1 of this invention can be directly obtained from existing steel plate raw material databases. However, the carbon emissions in stage A2 differ from existing technologies. In this invention, the carbon emissions in stage A2 transportation include carbon emissions from raw material transportation, fossil fuel transportation, basic material transportation, and semi-finished product inter-factory transportation. This is because the energy consumed by steel component factories, apart from electricity and natural gas which are transmitted through power grids and pipelines, mainly relies on vehicle transportation for other solid and liquid fossil energy. In addition, due to the lack of complete machinery and equipment in many factories, some prefabrication processes need to be outsourced, resulting in carbon emissions from the transportation of some semi-finished products between different factories. Stage A3 is the key stage for producing diversified steel component products and is also the difficult point for carbon emission measurement.

[0051] Specifically, this embodiment of the invention first monitors and collects data on the prefabrication process of each steel component to obtain energy consumption data, material consumption data, and dynamic changes in environmental CO2 concentration for each steel component, as shown in Table 1 below. Then, based on the dynamic changes in environmental CO2 concentration, the fugitive emissions of greenhouse gases are calculated. Based on the energy consumption data, material consumption data, and fugitive emissions of greenhouse gases, the carbon emissions of each steel component prefabrication process and the carbon emissions of shared workshop projects are calculated. It should be noted that, based on on-site investigations, the factory's energy and material consumption is not only used for steel component production but also often for catering, office work, and other activities. This embodiment of the invention emphasizes that the measurement boundary should be defined within the scope of energy and material consumption related to prefabricated steel components; consumption caused by other activities should be separated and not included in the carbon emissions of steel component prefabrication. This embodiment of the invention emphasizes that the carbon emission measurement boundary for steel components is not the physical boundary of the factory, but requires complete tracing of the relevant carbon emission sources in stage A3 of the prefabricated steel structure components. Finally, the carbon emissions of the prefabrication process and the carbon emissions of shared workshop projects are added together to obtain the carbon emissions of each steel component prefabrication process.

[0052] Table 1. Energy and material consumption and fugitive greenhouse gas emissions during the prefabrication stage of steel components in the factory.

[0053] It should be noted that carbon emissions during the prefabrication stage of steel components should be expressed in kilograms of carbon dioxide equivalent per component (kgCO2e / component) or kilograms of carbon dioxide equivalent per ton (kgCO2e / t).

[0054] This section specifies the units of measurement for carbon emissions from steel components, involving two levels: the unit of measurement for carbon emissions (numerator) and the unit of measurement for the quantity of products (denominator).

[0055] For carbon emissions, carbon dioxide equivalent (CO2e) is used as the unit of measurement. The Chinese national standard GB / T51366-2019, "Standard for Calculation of Building Carbon Emissions," defines "building carbon emissions" as "the total greenhouse gas emissions generated by a building during its related stages of building material production and transportation, construction and demolition, and operation, expressed as carbon dioxide equivalent (CO2e)." Internationally, carbon dioxide equivalent (CO2e) is also widely used as a unified unit of measurement for the overall greenhouse effect of various greenhouse gases.

[0056] Regarding the unit of measurement for products, this embodiment of the invention proposes two units of measurement for carbon emissions of steel components: "piece" and "t", based on the application scenarios of carbon emission measurement results.

[0057] The denominator is "each". The purpose is to allow for the individual measurement of carbon emissions for each component. Therefore, kilograms of carbon dioxide equivalent per component (kgCO2e / component) is used as the unit of measurement for carbon emissions from steel components.

[0058] Using "t" as the denominator. Considering that standards for steel structure industry product market transactions, enterprise output calculations, and related carbon emission assessment and certification are accustomed to calculating the value of steel structure component transactions, production, and use in tons (t), it is recommended to also use kilograms of carbon dioxide equivalent per ton (kgCO2e / t) as the unit of measurement to facilitate consistency with these application scenarios.

[0059] The two units of measurement mentioned above can be converted using the apparent density of steel components. For the sake of simplicity, the following will only use kgCO2e / component as the unit of measurement for carbon emissions during the prefabrication stage of steel components.

[0060] In another preferred embodiment, calculating the fugitive emissions of greenhouse gases based on the dynamic change data of the environmental CO2 concentration includes:

[0061] Based on the dynamic change data of CO2 concentration, a CO2 concentration-time curve was obtained by fitting, and the peak value of CO2 concentration was determined.

[0062] Based on the CO2 concentration-time curve and the peak CO2 concentration, the start time of CO2 release and the end time of CO2 decay are determined; wherein, the period from the start time of release to the peak CO2 concentration is the CO2 release period, and the period from the peak CO2 concentration to the end time of decay is the CO2 decay period.

[0063] The CO2 decay period of the CO2 concentration-time curve is fitted to calculate the CO2 release rate;

[0064] Calculate the amount of unorganized greenhouse gas emissions based on the CO2 release rate.

[0065] Specifically, in this embodiment of the invention, the amount of fugitive greenhouse gas emissions should preferably be measured on-site in the workshop or under experimental conditions using a field measurement method. When such conditions are not available, the supply amount can be used as the emission amount. The fugitive greenhouse gas emissions during the prefabrication stage of steel components mainly originate from the emission caused by the use of CO2 shielding gas during CO2 gas shielded welding. Because CO2 undergoes high-temperature decomposition around the welding torch, the amount of CO2 emitted is not equal to the supply amount. Furthermore, due to the open space of the workshop, the emitted CO2 gas quickly dilutes into the surrounding air environment, making accurate detection difficult. Therefore, it is necessary to design and construct reasonable experimental conditions for measurement.

[0066] For example, the calculation method for CO2 gas emission in the CO2 gas shielded welding process (referred to as "CO2 gas shielded welding") in this embodiment of the invention is as follows:

[0067] 1) Record the CO2 concentration-time values ​​in the experimental room.

[0068] An enclosed experimental operating room was built, and a MIG welding machine of the same model as that used in the actual processing of steel components was arranged inside the operating room.

[0069] A CO2 concentration detection instrument was set up in the operating room to record the air CO2 concentration. The CO2 concentration was recorded once every 1 minute.

[0070] In the operating room, MIG welding experiments were conducted, with the welding machine current, voltage and gas supply rate stabilized for 30 minutes each time.

[0071] Each experiment was repeated 3 times to obtain 3 sets of CO2 concentration-time values ​​in the operating room.

[0072] 2) Synchronize with 1) and record the CO2 concentration-time values ​​outside the operating room.

[0073] 3) Identify the peak CO2 concentration in the operating room.

[0074] The CO2 concentration-time values ​​recorded in 1) were smoothed using Excel or R programming language to obtain the CO2 concentration-time curve of the air in the operating room during the experiment.

[0075] Based on the above curves, the peak CO2 concentration in the operating room was determined;

[0076] 4) Identify the start and end times of CO2 release.

[0077] Examine all three consecutive data points before the peak obtained in 3) where the measurement values ​​change to zero or positive, and identify the earliest point as the release start time;

[0078] Examine all three consecutive data points after the peak obtained in 3) where the measurement value changes to zero or negative, and the latest point is identified as the end of decay.

[0079] The time between the start of release and the peak CO2 concentration is identified as the CO2 release period; the time between the peak CO2 concentration and the end of decay is identified as the CO2 decay period.

[0080] 5) Calculate the CO2 loss rate in the experimental operating room (the rate at which CO2 escapes from the operating room through gaps because the operating room cannot be completely sealed).

[0081] By fitting the CO2 concentration-time curve throughout the entire decay period, the CO2 loss rate L during the experimental operation was determined and solved using the following first-order mass balance equation:

[0082] In the formula, C in Indicates the CO2 concentration in the air inside the operating room; C outP represents the CO2 concentration in the air outside the operating room; A represents the air exchange rate of the operating room; V represents the mixing volume, i.e., the volume of the experimental operating room; and E represents the CO2 release rate inside the operating room.

[0083] During the decay period, E = 0, therefore the general solution to the above equation is as follows: C in (t)-C in_O =(C in (t d )-C in_O )×exp(-L(tt d (2)

[0084] In the formula, C in (t) represents the concentration of CO2 in the air inside the operating room at time t; C in (t d () indicates the CO2 concentration in the operating room air at the start of the decay period; C in_O The concentration of CO2 entering the operating room from outside is represented by the average CO2 concentration outside the operating room during the experiment; t represents the current time. d This indicates the start time of the decay period.

[0085] The loss rate L is determined by the slope obtained from the linear fitting of the measured data, as shown in the following equation:

[0086] 6) Calculate the CO2 release rate

[0087] Based on the determination of L in step 5), the CO2 release rate is calculated using the following equation:

[0088] In the formula, E represents the CO2 release rate, obtained by fitting a linear model, as shown in the following equation:

[0089] In the formula, m represents the slope determined from the linear model fitting, i.e., E; C in (t0) represents the CO2 concentration in the operating room at the start of the release period; t0 represents the start time of the release period; X is the independent variable of the linear model, i.e. Y is the dependent variable of the linear model, i.e.

[0090] 7) Calculate the CO2 gas emission during the MIG / MAG welding process.

[0091] The total CO2 release CE was calculated based on the cumulative E value during the 30-minute experiment. CO2 ;

[0092] Weigh the amount of MIG welding wire consumed (FU) during the corresponding time period.

[0093] CE CO2 The quotient of FU yields the CO2 gas emission amount during the MIG welding process (i.e., the CO2 emission amount caused by welding a unit weight of welding wire).

[0094] In another preferred embodiment, the carbon emissions of the prefabrication process include the carbon emissions of the prefabrication process in the plant and the carbon emissions of the prefabrication process in the outsourced plant, and the carbon emissions of the shared workshop project include the carbon emissions of the shared workshop project in the plant and the carbon emissions of the shared workshop project in the outsourced plant.

[0095] Specifically, the embodiments of this invention take into account the different objective circumstances of various factories, such as scale and type of machinery. Some factories have complete prefabrication processes, while others may have some processes outsourced. For the latter, carbon emission measurement cannot be limited to the factory itself; the data of the outsourced processes must also be traced. Otherwise, complete A3 stage data cannot be obtained. Therefore, in the embodiments of this invention, whether it is the carbon emission of the prefabrication process or the carbon emission of shared workshop projects, in addition to calculating the carbon emission of the factory itself, the carbon emission of the outsourced factories should also be calculated. This is to ensure that the relevant carbon emission sources of steel components in the A3 stage are traced completely, thus guaranteeing the accuracy of the carbon emission calculation for steel components.

[0096] In yet another preferred embodiment, the carbon emissions of the prefabrication process are calculated as follows:

[0097] At least one prefabrication process of the steel structure component is determined, as well as the functional unit corresponding to each prefabrication process; wherein, the functional unit is a basic unit for calculating the carbon emissions of the corresponding prefabrication process;

[0098] The carbon emissions of each prefabrication process are calculated based on the number of functional units, energy consumption data, material consumption data, fugitive greenhouse gas emissions, carbon emission factor, and global warming potential of greenhouse gases corresponding to each prefabrication process.

[0099] In yet another preferred embodiment, the carbon emissions of the shared workshop project are calculated as follows:

[0100] The carbon emissions of the shared projects in the workshop are calculated based on the energy consumption data, material consumption data, carbon emission factor, weight of the steel structure components, and total weight of the prefabricated components in the workshop for each shared project in the workshop.

[0101] Specifically, for steel components in stage A3, regardless of whether prefabrication is done in-house or outsourced, carbon emissions mainly come from two sources. One source is the prefabrication process for specific components, typically including: warehousing and re-inspection of raw material modules; cutting, beveling, bending, assembly, pipe rolling, underlayment, welding, rounding, pipe connection, cold straightening, end milling, and inspection of main material modules; cutting, beveling, drilling, and bending of accessory modules; final assembly, straightening, and inspection of component assembly modules; and grinding, shot blasting, painting, and warehousing of post-processing modules. In addition, there are shared workshop items, mainly gantry cranes and forklifts for in-plant transportation; compressed air; shared lighting systems and scattered electric fans; and necessary mechanical maintenance. Due to the differences in objective measurement conditions between the two types of data, the following two measurement methods are used to measure carbon emissions from prefabrication processes and shared workshop items respectively, then unit unification and summation are performed to calculate the carbon emissions for each prefabricated component. CE A3 =PCE+SCE

[0102] In the formula, CE A3 The carbon emissions are expressed as kgCO2e / component during the prefabrication stage of steel components; PCE represents the carbon emissions of the prefabrication process of steel components, in kgCO2e / component; SCE represents the carbon emissions of shared projects in the steel component workshop, in kgCO2e / component.

[0103] The raw materials, main materials, accessories, component assembly and post-processing modules in the prefabrication process of steel components should be measured in prefabrication process functional units, and the carbon emissions of each component prefabrication process should be accumulated.

[0104] This invention proposes a carbon emission measurement method for stage A3 of prefabricated steel structure components, using the prefabrication process functional unit (FU) as the basic unit. FU is a unit of measurement characterizing the workload of prefabrication processes in the prefabrication plant of prefabricated steel structure components (i.e., prefabrication process activity level data). For example, the painting process is measured in terms of the area painted (m²). 2 ) represents the amount of painting work, therefore 1m 2 The area to be painted is one unit (FU) for the painting process; similarly, the FU for main component cutting, assembly, and assembly are respectively the area of ​​the cut surface of the steel raw material (m²). 2 The assembly length (m), welding wire consumption (kg), and FU for component cutting, drilling, and assembly are respectively the steel raw material cutting surface area (m²). 2 ), Drilling volume (m) 3 ), welding wire consumption (kg), and the FU values ​​for straightening and shot blasting of the composite components are respectively the straightening length (m) and the component surface area (m²). 2 )etc.

[0105] In the formula, PCE represents the carbon emissions of the prefabrication process of steel components, with units of kgCO2e / component; PCE i This represents the carbon emissions of the i-th prefabrication process of a steel component, expressed in kgCO2e / FU; PAD i This represents the workload (i.e., activity level data) of the i-th prefabrication process for steel components, in units of FU / component; PADe i,a This represents the energy consumption of type a in the i-th prefabrication process of steel components, expressed in kg / FU, L / FU, or kWh / FU; PADm i,b This indicates the consumption of material b in the i-th prefabrication process of steel components, in kg / FU or t / FU; PADghg i,c This represents the emission of the c-th type of greenhouse gas during the i-th prefabrication process of a steel component, expressed in kg / FU; CEFe a This represents the carbon emission factor of energy type a, expressed in kgCO2e / kg, kgCO2e / L, or kgCO2e / kWh; CEFm b This represents the carbon emission factor of energy source b, expressed in kgCO2e / kg or kgCO2e / t; CEFghg c denoted as c, representing the global warming potential of the c-th greenhouse gas, in kgCO2e / kg; n represents the total number of prefabrication processes for steel components; x represents the total number of energy consumption types in the ith prefabrication process of steel components; y represents the total number of material consumption types in the ith prefabrication process of steel components; z represents the total number of greenhouse gas types in the ith prefabrication process of steel components.

[0106] For shared projects in the prefabrication process of steel components, the total consumption of the workshop should be used as the unit of measurement, and the components should be reasonably allocated to each component through accounting rules.

[0107] It should be noted that, based on on-site investigation, the actual factory, in addition to the carbon emission sources from the processes, also has some shared projects, mainly including: forklifts (consuming diesel fuel, used to assist in factory transportation); gantry cranes (consuming electricity, used to assist in factory transportation); compressed air systems (consuming electricity); lighting systems (consuming electricity); scattered electric fans (consuming electricity); and necessary mechanical maintenance (consuming hydraulic / cooling / gear oil). The energy consumed by these shared machines in the workshops can be measured in total over a certain period, but cannot be directly measured at the granular level of individual components.

[0108] This invention, in accordance with relevant regulations, evaluates the allocation scheme of these data. For example, for forklift transportation, the Chinese national standard GB / T 51366-2019, "Calculation Standard for Carbon Emissions in Building Construction," states that carbon emissions from building material transportation are the product of the building material weight, transportation distance, and the carbon emission factor of the transportation method. This means that, given a fixed means of transport and transportation distance, transportation carbon emissions are considered directly proportional to the weight of the building materials. Therefore, for steel component production, the total fuel consumption data of the workshop can be obtained from fuel gauge readings or refueling records over a certain period, and then allocated to the components according to calculation rules. Assuming that all components travel the same distance from entering the factory, through the assembly line, to finally leaving the factory, then, referring to the calculation method for carbon emissions from building material transportation, considering that the fuel consumption for component transportation is directly proportional to the component weight, we have:

[0109] Similarly, assuming that the demand for compressed air, lighting, the number of electric fans used to meet workers' thermal comfort needs, and mechanical maintenance are all the same during the steel component processing, it can be considered that the energy and material consumption generated by in-plant transportation, compressed air, lighting, electric fan systems, and mechanical maintenance is directly proportional to the weight of the steel component. Therefore, the total amount can be measured and allocated to each component according to the following rules.

[0110] In the formula, N represents the total number of shared projects in the workshop; SCE represents the carbon emissions of shared projects in the workshop, in kgCO2e / project; SCE j This represents the carbon emission of the j-th shared item in the workshop during the metering period, in kgCO2e; m represents the weight of the metered steel component, in kg / component; M represents the total weight of prefabricated components in the workshop during the metering period, in kg; SADe j,a This represents the energy consumption of type a for the j-th shared project in the workshop, expressed in kg, L, or kWh; SADm j,b This represents the consumption of material b in the j-th shared project of the workshop, in kg or L; CEFe a This represents the carbon emission factor of energy type a, expressed in kgCO2e / kg, kgCO2e / L, or kgCO2e / kWh; CEFm b This represents the carbon emission factor of material b, expressed in kgCO2e / kg or kgCO2e / L.

[0111] It should be noted that on-site data collection in the workshop includes energy and material consumption, as well as fugitive greenhouse gas emissions. Energy is categorized into fossil fuel consumption and electricity consumption, while materials are classified by state as solid, liquid, and gaseous. For fossil fuel consumption, the weight, volume, or capacity should be measured on-site using appropriate instruments and equipment. For electricity consumption, voltage and current should be monitored in real-time at the workshop's electrical equipment distribution box, and power consumption should be obtained through active power integration. For solid material consumption, the weight or volume should be measured on-site using appropriate instruments and equipment. For liquid and gaseous material consumption, the weight or volume should also be measured on-site using appropriate instruments and equipment. For carbon emission measurement in prefabrication processes, the sample size should not be less than 30 groups, and the p-value of the process carbon emission-functional unit data fitting result should not exceed 0.05. For carbon emission measurement of shared projects in the workshop, the measurement period should not be less than one year and should not be less than one month.

[0112] The measurement error of material measuring instruments and equipment should not exceed ±0.1% of the total measurement amount.

[0113] The accuracy class of energy-related metering instruments and equipment should meet the relevant provisions of the current Chinese national standard GB / T 17167 "General Rules for the Configuration and Management of Energy Metering Instruments for Energy-Using Units", as shown in Table 2 below.

[0114] Table 2. Accuracy Class Requirements for Energy Measuring Instruments for Energy-Using Units as Specified by GB / T 17167

[0115] It should be noted that the energy and material consumption data collected on-site need to be converted into carbon emission data using the corresponding carbon emission factors. Therefore, the values ​​of carbon emission factors for energy and materials are as follows: The carbon emission factor for fossil fuels should be determined according to the current Chinese national standard "Standard for Calculation of Building Carbon Emissions" GB / T 51366. For electricity, the latest provincial average carbon emission factor for electricity published by the local administrative department should be used first. When provincial data is unavailable, the latest regional average carbon emission factor for electricity published by the Ministry of Ecology and Environment can be used. When regional data is unavailable, the latest national average carbon emission factor for electricity published by the Ministry of Ecology and Environment can be used. For basic materials, carbon emission factors should preferably be based on building material carbon footprint data verified by a third party. When no third party can provide such data, an updated carbon emission database can be used.

[0116] It should be noted that to assign a carbon label to each component, it is necessary to differentiate the carbon emission values ​​between different components. However, assuming that the carbon emissions of steel components are the same in stages A1 and A2, the carbon emission values ​​between components depend on the factory prefabrication process and are affected by the prefabrication steps. This invention, based on process analysis, proposes a measurement method that can differentiate the carbon emissions between different components by measuring the process data at each stage of component production.

[0117] Furthermore, due to differences in the scale and types of machinery among steel structure factories, some factories have complete prefabrication processes, while others may have some processes outsourced. For the latter, carbon emission measurement cannot be limited to the factory itself; it is also necessary to trace the data of the outsourced processes. Otherwise, complete A3 stage data cannot be obtained. The process-based measurement method of this invention facilitates the identification of the types of processes that need to be traced in actual operation and allows for the targeted collection of corresponding data.

[0118] The embodiments of the present invention use the process as the unit of measurement, which can collect data without affecting the normal production of steel components. This means that it is not a separate experiment, and it cannot be assumed that only the test object is being produced on the production line. The reality that continuous production makes it difficult to separate data between different components must be considered.

[0119] Please refer to Figure 3, which is a schematic diagram of prefabricated carbon emission metering in the prior art. The conventional approach of the prior art is to track individual components from the moment they enter the workshop until they leave. This is the most ideal method for metering and accounting, as the data obtained by tracking the entire process is the most reliable. However, it is almost impractical for the following reasons: 1. Some processes in the factory are outsourced, making it impossible to track complete data in a single workshop; 2. In actual production, many processes do not process components one by one. On assembly lines or in large equipment, many components are processed in batches, making them indistinguishable unless the production of other components is stopped.

[0120] Please refer to Figure 4, which is a schematic diagram of carbon emission measurement in the prefabrication process of a carbon emission calculation method for steel structure components provided by this invention. The measurement approach proposed in this invention involves tracking the production process, testing a sufficient sample size, and fitting the carbon emission parameters of the process. First, a suitable unit for representing the workload of the process is determined—the functional unit FU. For example, the FU for paint is the coating area (m²). 2 Secondly, multiple carbon emission tests are conducted on the process to complete the carbon emission quota of the process FU. For example, for H-beams of different lengths of 2m, 10m, and 20m, the weld lengths of the web and flange plates are different, but in this embodiment of the invention, only the carbon emission generated by welding a 1m weld is measured to obtain the carbon emission parameters of the process. Finally, the carbon emission of the welding of each of the above components is calculated.

[0121] In yet another preferred embodiment, the method further includes:

[0122] The carbon emissions of each steel structure component prefabrication process, the carbon emissions of each prefabrication step, the carbon emissions of the shared projects in the workshop, and the process analysis list are stored in a hierarchical manner; wherein, the process analysis list includes data on energy and material consumption, fugitive greenhouse gas emissions, and corresponding carbon emission factors.

[0123] Specifically, please refer to Figure 5, which is a schematic diagram of the hierarchical storage of calculation data in a carbon emission calculation method for steel structure components provided by the present invention. In this embodiment of the invention, the carbon emission measurement results during the prefabrication stage of steel components are stored hierarchically as shown in Figure 5, including total carbon emissions (CE). A3 The system comprises three levels: carbon emission sub-items (PCE and SCE), and process analysis (PA) lists. These levels are linked through the corresponding formulas mentioned above and ultimately connected to the PA list. The PA list consists of data on energy and material consumption, fugitive greenhouse gas emissions, and corresponding carbon emission factors.

[0124] It should be noted that this data structure facilitates the analysis of CE. A3 Update CE to enable A3 The measurement results represent the latest actual situation. On the one hand, they can be updated locally based on changes in specific processes. For example, in a certain year, a CE certificate was obtained for steel component A at factory A. A3甲 A. The following year, Factory A changed a certain process, which allowed for the use of fewer pads to complete the 1FU process. e,a Or, the equipment at the processing plant for that process breaks down, and the processing is outsourced to Factory B. Factory B needs more PADs to complete the 1FU process. e,a In these cases, the measurement scheme proposed in this invention allows for separate data updates for this process, yielding a steel component CE that represents the actual situation. A3 Data can be collected without requiring a complete remeasurement of steel component A. On the other hand, the database can be updated in a timely manner based on changes in the carbon emission factors of energy and basic materials. For example, as the State Grid gradually decarbonizes and the electricity carbon emission factor decreases year by year, or when test results from one province are transferred to another, differences in provincial electricity carbon emission factors exist. In these scenarios, the latest local electricity CEF published by the Ministry of Ecology and Environment and other relevant authorities can be used as a reference. e The data can be updated, and related data can be updated without the need for a complete remeasurement.

[0125] Accordingly, the present invention also provides a carbon emission calculation device for steel structure components, which can realize all the processes of the carbon emission calculation method for steel structure components in the above embodiments.

[0126] Please refer to Figure 6, which is a schematic diagram of a preferred embodiment of a carbon emission calculation device for steel structure components provided by the present invention. The carbon emission calculation device for steel structure components includes:

[0127] The data acquisition module 601 is used to monitor and acquire data during the prefabrication process of each steel structure component, so as to obtain energy consumption data, material consumption data and dynamic change data of environmental CO2 concentration for each steel structure component.

[0128] The emission calculation module 602 is used to calculate the amount of greenhouse gas fugitive emissions based on the dynamic change data of the environmental CO2 concentration.

[0129] The sub-item carbon emission calculation module 603 is used to calculate the carbon emissions of each of the steel structure component prefabrication processes and the carbon emissions of shared projects in the workshop based on the energy consumption data, the material consumption data and the fugitive emissions of greenhouse gases.

[0130] The steel component carbon emission calculation module 604 is used to add the carbon emissions of the prefabrication process and the carbon emissions of the shared project in the workshop to obtain the carbon emissions of each steel structure component prefabrication process.

[0131] Preferably, the dissipation calculation module 602 is specifically used for:

[0132] Based on the dynamic change data of CO2 concentration, a CO2 concentration-time curve was obtained by fitting, and the peak value of CO2 concentration was determined.

[0133] Based on the CO2 concentration-time curve and the peak CO2 concentration, the start time of CO2 release and the end time of CO2 decay are determined; wherein, the period from the start time of release to the peak CO2 concentration is the CO2 release period, and the period from the peak CO2 concentration to the end time of decay is the CO2 decay period.

[0134] The CO2 decay period of the CO2 concentration-time curve is fitted to calculate the CO2 release rate;

[0135] Calculate the amount of unorganized greenhouse gas emissions based on the CO2 release rate.

[0136] Preferably, the carbon emissions of the prefabrication process include the carbon emissions of the prefabrication process in the plant and the carbon emissions of the prefabrication process in the outsourced plant, and the carbon emissions of the shared workshop projects include the carbon emissions of the shared workshop projects in the plant and the carbon emissions of the shared workshop projects in the outsourced plant.

[0137] Preferably, the carbon emissions of the prefabrication process are calculated as follows:

[0138] At least one prefabrication process of the steel structure component is determined, as well as the functional unit corresponding to each prefabrication process; wherein, the functional unit is a basic unit for calculating the carbon emissions of the corresponding prefabrication process;

[0139] The carbon emissions of each prefabrication process are calculated based on the number of functional units, energy consumption data, material consumption data, fugitive greenhouse gas emissions, carbon emission factor, and global warming potential of greenhouse gases corresponding to each prefabrication process.

[0140] Preferably, the carbon emissions of the shared project in the workshop are calculated as follows:

[0141] The carbon emissions of the shared projects in the workshop are calculated based on the energy consumption data, material consumption data, carbon emission factor, weight of the steel structure components, and total weight of the prefabricated components in the workshop for each shared project in the workshop.

[0142] Preferably, the device further includes:

[0143] The data storage module is used to store the carbon emissions of each steel structure component prefabrication process, the carbon emissions of the prefabrication process, the carbon emissions of the shared projects in the workshop, and the process analysis list in a hierarchical manner; wherein, the process analysis list includes data on energy and material consumption, fugitive greenhouse gas emissions, and corresponding carbon emission factors.

[0144] In specific implementation, the working principle, control process and technical effects of the carbon emission calculation device for steel structure components provided in the embodiments of the present invention are the same as those of the carbon emission calculation method for steel structure components in the above embodiments, and will not be repeated here.

[0145] Please refer to Figure 7, which is a schematic diagram of a preferred embodiment of a terminal device provided by the present invention. The terminal device includes a processor 701, a memory 702, and a computer program stored in the memory 702 and configured to be executed by the processor 701. When the processor 701 executes the computer program, it implements the carbon emission calculation method for steel structure components described in any of the above embodiments.

[0146] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory 702 and executed by the processor 701 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0147] The processor 701 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor 701 can be any conventional processor. The processor 701 is the control center of the terminal device, connecting various parts of the terminal device through various interfaces and lines.

[0148] The memory 702 mainly includes a program storage area and a data storage area. The program storage area can store the operating system, applications required for at least one function, etc., while the data storage area can store related data, etc. Furthermore, the memory 702 can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart media card (SMC), a secure digital card (SD), and a flash card, or it can be other volatile solid-state storage devices.

[0149] It should be noted that the aforementioned terminal device may include, but is not limited to, processors and memory. Those skilled in the art will understand that the structural schematic diagram in Figure 7 is merely an example of the aforementioned terminal device and does not constitute a limitation on the aforementioned terminal device. It may include more or fewer components than shown in the figure, or combine certain components, or different components.

[0150] This invention also provides a computer-readable storage medium, which includes a stored computer program, wherein the computer program, when running, controls the device where the computer-readable storage medium is located to execute the carbon emission calculation method for steel structure components described in any of the above embodiments.

[0151] This invention also provides a computer program product, which includes a computer program or computer instructions. When the computer program or computer instructions are executed by a processor, they implement the carbon emission calculation method for steel structure components described in any of the above embodiments.

[0152] This invention provides a method, apparatus, equipment, medium, and product for calculating carbon emissions from steel structure components. By monitoring and collecting data during the prefabrication process of each steel structure component, energy consumption data, material consumption data, and dynamic changes in environmental CO2 concentration are obtained for each component. Based on the dynamic changes in environmental CO2 concentration, the amount of fugitive greenhouse gas emissions is calculated. Based on the energy consumption data, material consumption data, and fugitive greenhouse gas emissions, the carbon emissions of each prefabrication step and shared workshop items are calculated. The carbon emissions of the prefabrication steps and shared workshop items are added together to obtain the carbon emissions of each prefabrication process. This invention considers all energy and material consumption required for component prefabrication, carbon emissions from shared workshop items, and carbon emissions caused by fugitive greenhouse gas emissions during the prefabrication stage, thereby effectively improving the accuracy of carbon emission calculations for steel structure components.

[0153] It should be noted that the system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the system embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0154] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method of calculating carbon emissions of a steel structural member, characterized by, include: Data is collected and monitored during the prefabrication process of each steel structure component to obtain energy consumption data, material consumption data, and dynamic changes in environmental CO2 concentration for each steel structure component. Based on the dynamic change data of environmental CO2 concentration, the amount of unorganized greenhouse gas emissions is calculated; Based on the energy consumption data, the material consumption data, and the fugitive emissions of greenhouse gases, calculate the carbon emissions of each steel structure component prefabrication process and the carbon emissions of shared workshop projects. The carbon emissions of the prefabrication process and the carbon emissions of the shared projects in the workshop are added together to obtain the carbon emissions of each steel structure component prefabrication process.

2. The steel structural member carbon emission calculation method according to claim 1, characterized by, The calculation of fugitive greenhouse gas emissions based on the dynamic change data of environmental CO2 concentration includes: Based on the dynamic change data of CO2 concentration, a CO2 concentration-time curve was obtained by fitting, and the peak value of CO2 concentration was determined. Based on the CO2 concentration-time curve and the peak CO2 concentration, the start time of CO2 release and the end time of CO2 decay are determined; wherein, the period from the start time of release to the peak CO2 concentration is the CO2 release period, and the period from the peak CO2 concentration to the end time of decay is the CO2 decay period. The CO2 decay period of the CO2 concentration-time curve is fitted to calculate the CO2 release rate; Calculate the amount of unorganized greenhouse gas emissions based on the CO2 release rate.

3. The steel structural member carbon emission calculation method according to claim 1, characterized by, The carbon emissions from the prefabrication process include the carbon emissions from the prefabrication process in this factory and the carbon emissions from the prefabrication process in outsourced factories. The carbon emissions from shared workshop projects include the carbon emissions from shared workshop projects in this factory and the carbon emissions from shared workshop projects in outsourced factories.

4. The steel structural member carbon emission calculation method according to claim 3, characterized by, The carbon emissions from the prefabrication process are calculated as follows: At least one prefabrication process of the steel structure component is determined, as well as the functional unit corresponding to each prefabrication process; wherein, the functional unit is a basic unit for calculating the carbon emissions of the corresponding prefabrication process; The carbon emissions of each prefabrication process are calculated based on the number of functional units, energy consumption data, material consumption data, fugitive greenhouse gas emissions, carbon emission factor, and global warming potential of greenhouse gases corresponding to each prefabrication process.

5. The steel structural member carbon emission calculation method according to claim 4, characterized by, The carbon emissions of the shared workshop project are calculated as follows: The carbon emissions of the shared projects in the workshop are calculated based on the energy consumption data, material consumption data, carbon emission factor, weight of the steel structure components, and total weight of the prefabricated components in the workshop for each shared project in the workshop.

6. The steel structural member carbon emission calculation method according to claim 5, characterized by, The method further includes: The carbon emissions of each steel structure component prefabrication process, the carbon emissions of each prefabrication step, the carbon emissions of the shared projects in the workshop, and the process analysis list are stored in a hierarchical manner; wherein, the process analysis list includes data on energy and material consumption, fugitive greenhouse gas emissions, and corresponding carbon emission factors.

7. A steel structural member carbon emission calculation device characterized by comprising: include: The data acquisition module is used to monitor and collect data on the prefabrication process of each steel structure component, so as to obtain energy consumption data, material consumption data and dynamic changes in environmental CO2 concentration for each steel structure component. The emission calculation module is used to calculate the amount of greenhouse gas fugitive emissions based on the dynamic change data of the environmental CO2 concentration. The sub-item carbon emission calculation module is used to calculate the carbon emissions of each of the steel structure component prefabrication processes and the carbon emissions of shared projects in the workshop based on the energy consumption data, the material consumption data and the fugitive emissions of greenhouse gases. The steel component carbon emission calculation module is used to add the carbon emissions of the prefabrication process and the carbon emissions of the shared projects in the workshop to obtain the carbon emissions of each steel structure component prefabrication process.

8. A terminal device, comprising: The device includes a processor and a memory, the memory storing a computer program configured to be executed by the processor, wherein the processor, when executing the computer program, implements the carbon emission calculation method for steel structure components as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein when the device containing the computer-readable storage medium executes the computer program, it implements the carbon emission calculation method for steel structure components as described in any one of claims 1 to 6.

10. A computer program product, characterised in that, The computer program product includes a computer program or computer instructions, which, when executed by a processor, implement the carbon emission calculation method for steel structure components as described in any one of claims 1 to 6.

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