Steel structural member carbon emission calculation method, device, equipment, medium and product

Abstract

The invention discloses a method, a device, equipment, a medium and a product for calculating carbon emission of a steel structural component, and the method comprises the steps: carrying out the data monitoring and collection of a prefabrication process of each steel structural component, so as to obtain energy consumption data, material consumption data and environment CO2 concentration dynamic change data; calculating the unorganized dissipation amount of the greenhouse gas according to the dynamic change data of the CO2 concentration of the environment; according to the energy consumption data, the material consumption data and the unorganized greenhouse gas dissipation amount, calculating the carbon emission of each steel structural member prefabricating process and the carbon emission of a workshop sharing project; and adding the carbon emission of the prefabrication process and the carbon emission of the workshop sharing project to obtain the carbon emission of each steel structural member in the prefabrication process. According to the method, all energy and material consumption generated due to component prefabrication requirements in the steel component prefabrication stage, carbon emission of workshop shared projects and carbon emission caused by unorganized greenhouse gas dissipation are considered, and therefore the accuracy of calculation of the carbon emission of the steel structural component can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission calculation, and in particular to a method, device, equipment, medium and product for calculating carbon emission of steel structure components. Background Art

[0002] The construction industry is an important part of my country's carbon emissions. Carbon emissions from the mining of building materials, production of building materials, transportation and construction processes caused by the construction industry account for more than 20% of the total carbon emissions of the whole society. Steel structure is an important part of my country's new type of industrialized and prefabricated buildings. At present, relevant carbon emission calculations are mainly concentrated at the level of the steel industry or production enterprises. The calculation basis is based on the input-output method, and the carbon emission calculation boundary is stipulated as the carbon emissions occurring within the enterprise production system. The types include fossil fuel combustion, production process, purchased electricity and heat, and carbon sequestration products.

[0003] However, this calculation method is applicable to the macro-industry, organization and enterprise level, but not to the measurement of product carbon emissions. The calculation results can only obtain the total carbon emission data, which cannot reflect the intermediate process and the source of carbon emissions. Moreover, by dividing the total carbon emissions by the total output of the factory in the corresponding period, the result is the average carbon emission of steel, which cannot reflect the carbon emission differences between different steel structure products. In addition, since other energy such as production and life are not separated in the actual data management of the factory, the data collected at the enterprise level are mixed with some non-production energy to varying degrees; at the same time, this method does not calculate the full range of items, and does not consider the carbon emissions caused by material consumption and unorganized emission of greenhouse gases; resulting in inaccurate calculation results. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method, device, equipment, medium and product for calculating the carbon emissions of steel structure components, which takes into account all energy and material consumption generated by the prefabrication needs of components during the prefabrication stage of steel components, the carbon emissions of common items in the workshop, and the carbon emissions caused by the escape of unorganized greenhouse gases, thereby effectively improving the accuracy of carbon emission calculations for steel structure components.

[0005] In order to achieve the above object, an embodiment of the present invention provides a method for calculating carbon emissions of steel structure components, comprising:

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

[0007] Calculate the amount of unorganized emission of greenhouse gases based on the dynamic change data of the ambient CO2 concentration;

[0008] Calculate the carbon emissions of each steel structure component prefabrication process and the carbon emissions of workshop common projects based on the energy consumption data, the material consumption data and the unorganized emission of greenhouse gases;

[0009] The carbon emissions of the prefabrication process and the carbon emissions of the workshop common items are added together to obtain the carbon emissions of each prefabrication process of the steel structure components.

[0010] As an improvement of the above scheme, the calculation of the unorganized emission of greenhouse gases according to the dynamic change data of the ambient CO2 concentration includes:

[0011] According to the CO2 concentration dynamic change data, a CO2 concentration-time curve is obtained by fitting, and a CO2 concentration peak value is determined;

[0012] According to the CO2 concentration-time curve and the CO2 concentration peak, determine the CO2 release start time and the CO2 decay end time; wherein the CO2 release period is from the CO2 release start time to the CO2 concentration peak time, and the CO2 decay period is from the CO2 concentration peak time to the CO2 decay end time;

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

[0014] Based on the CO2 release rate, the amount of unorganized greenhouse gas escape is calculated.

[0015] As an improvement of the above scheme, the carbon emissions of the prefabrication process include the carbon emissions of the prefabrication process of the factory and the carbon emissions of the prefabrication process of the outsourced factory, and the carbon emissions of the workshop common projects include the carbon emissions of the workshop common projects of the factory and the carbon emissions of the workshop common projects of the outsourced factory.

[0016] As an improvement of the above solution, the calculation method of carbon emissions of the prefabrication process is:

[0017] Determine at least one prefabrication process of the steel structure component and a 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 the prefabrication process are calculated based on the number of functional units, energy consumption data, material consumption data, unorganized emission of greenhouse gases, carbon emission factors and global warming potential values ​​of greenhouse gases corresponding to each prefabrication process.

[0019] As an improvement to the above scheme, the calculation method of the carbon emissions of the workshop shared project is:

[0020] The carbon emissions of the common 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 the total weight of prefabricated components in the workshop corresponding to each common project in the workshop.

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

[0022] The carbon emissions of each prefabrication process of the steel structure components, the carbon emissions of the prefabrication procedures, the carbon emissions of the workshop common projects, and the process analysis list are stored in layers; wherein the process analysis list includes data on various energy sources, material consumption, unorganized greenhouse gas emissions, and corresponding carbon emission factors.

[0023] The embodiment of the present invention further provides a carbon emission calculation device for a steel structure component, comprising:

[0024] A data acquisition module is used to monitor and collect data on the prefabrication process of each steel structure component to obtain energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structure component;

[0025] The emission calculation module is used to calculate the unorganized emission of greenhouse gases according to the dynamic change data of the ambient CO2 concentration;

[0026] A sub-item carbon emission calculation module is used to calculate the carbon emission of each steel structure component prefabrication process and the carbon emission of workshop common items according to the energy consumption data, the material consumption data and the unorganized emission of greenhouse gases;

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

[0028] An embodiment of the present 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, wherein the processor implements any of the above-mentioned methods for calculating carbon emissions of steel structure components when executing the computer program.

[0029] An embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any of the above-mentioned methods for calculating carbon emissions of steel structure components.

[0030] An embodiment of the present invention further provides a computer program product, which includes a computer program or computer instructions. When the computer program or the computer instructions are executed by a processor, the carbon emission calculation method for steel structure components described in any one of the above items is implemented.

[0031] Compared with the prior art, the beneficial effects of a steel structure component carbon emission calculation method, device, equipment, medium and product provided by the embodiment of the present invention are: by monitoring and collecting data on the prefabrication process of each steel structure component, the energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structure component are obtained; according to the environmental CO2 concentration dynamic change data, the unorganized emission of greenhouse gases is calculated; according to the energy consumption data, the material consumption data and the unorganized emission of greenhouse gases, the carbon emissions of each steel structure component prefabrication process and the carbon emissions of workshop common projects are calculated; the carbon emissions of the prefabrication process and the carbon emissions of the workshop common projects are added together to obtain the carbon emissions of each steel structure component prefabrication process. The embodiment of the present invention takes into account all energy and material consumption generated by the prefabrication needs of the steel component, the carbon emissions of the workshop common projects, and the carbon emissions caused by the unorganized greenhouse gas emission during the prefabrication stage of the steel component, thereby effectively improving the accuracy of the carbon emission calculation of steel structure components. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a flow chart of a preferred embodiment of a method for calculating carbon emissions of a steel structure member provided by the present invention;

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

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

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

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

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

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

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] See also Figure 1 , Figure 1 The figure is a flow chart of a preferred embodiment of a method for calculating carbon emissions of a steel structure member provided by the present invention. The method for calculating carbon emissions of a steel structure member comprises:

[0041] S1, monitoring and collecting data on the prefabrication process of each steel structure component to obtain energy consumption data, material consumption data and dynamic change data of environmental CO2 concentration of each steel structure component;

[0042] S2, calculating the amount of unorganized emission of greenhouse gases based on the dynamic change data of the ambient CO2 concentration;

[0043] S3, calculating the carbon emissions of each of the steel structure component prefabrication processes and the carbon emissions of the workshop common items based on the energy consumption data, the material consumption data and the unorganized emission of greenhouse gases;

[0044] S4, adding the carbon emissions of the prefabrication process and the carbon emissions of the workshop common items to obtain the carbon emissions of each prefabrication process of the steel structure components.

[0045] It should be noted that, as a bulk industrial raw material, carbon emissions from steel production have received much attention at home and abroad, and based on the carbon emission calculation principles of general industries or products, carbon emission calculation methods for the steel industry and steel materials have been developed. Internationally, relevant carbon emission calculations are mainly concentrated at the level of the steel industry or production enterprises, and the calculation basis is based on the input-output method. Correspondingly, China has issued steel carbon emission-related calculation standards such as the "Guidelines for Greenhouse Gas Emissions Accounting and Reporting of Chinese Steel Production Enterprises (Trial)" and "Greenhouse Gas Emissions Accounting and Reporting Requirements-Steel Production Enterprises". Among them, the latter stipulates that the carbon emission calculation boundary is the carbon emissions occurring within the enterprise's production system, and the types include fossil fuel combustion, production process, purchased electricity and heat, and carbon sequestration products.

[0046] However, the existing technology has the following limitations:

[0047] 1) The above method is applicable to the macro-industry, organization and enterprise levels, but not to product carbon emission measurement. With the entire system as the boundary, the physical relationship between energy, material input and output can be reflected through input-output analysis (IO) information. It requires less data and is highly operational. It is suitable for macro-system analysis (national, departmental, or organizational level). However, the calculation results can only obtain total carbon emission data, and cannot reflect the intermediate process or present the source of carbon emissions. In addition, in the actual data management of the factory, other energy uses such as production and life are not separated, resulting in the data collected at the enterprise level being mixed with some non-production energy to varying degrees.

[0048] 2) The accounting results cannot reflect the differences in carbon emissions between different steel structure products. By dividing the above total carbon emissions by the total factory output in the corresponding period, the result is the average carbon emissions of steel. This is not a big problem for some products with a high degree of standardization and small differences between different models. However, prefabricated steel structure products are usually customized according to project needs. The processing procedures and processing workload of each product are different, resulting in large differences between them. If the average value is used, there will undoubtedly be a huge gap between the actual situation.

[0049] 3) In actual operation, it is easy to cause incomplete data collection due to outsourcing of processing procedures. The survey shows that the cost of steel structure processing equipment is high, and the objective conditions such as the scale and type of machinery of each factory are different. Some factories have complete prefabrication processes, while others may have some processes outsourced. Therefore, the carbon emission measurement boundary of steel structure products is not equivalent to the physical boundary. In the case of outsourcing of processes, the data of the outsourced processes should also be traced back, otherwise it is impossible to obtain complete product carbon emission data.

[0050] Based on this, the embodiment of the present invention provides a method for calculating carbon emissions of steel structural components. It uses a process analysis (PA)-based method to measure the carbon emissions of steel structural components (referred to as steel components). First, all relevant items of carbon emissions before the steel component products leave the factory are sorted out, and the carbon emissions of each item are measured item by item. Then, the carbon emissions of the final steel component prefabrication stage are cumulatively calculated. Figure 2 , Figure 2It is a schematic diagram of the framework for dividing the stages of the entire life cycle of a building as specified in the international standard ISO 21930. Corresponding to ISO 21930, the carbon emissions from the production of building materials include three parts: raw material mining (A1), transportation of raw materials to building material product processing plants (A2), and production of building material products (A3). A1-A3 of the ISO 21930 standard are usually referred to as the "from cradle to gate" stage, which is also the stage covered by the general product carbon label data. The present invention is aimed at 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 of the A1 stage in the embodiment of the present invention can be directly obtained from the existing steel plate raw material database, but the carbon emissions of the A2 stage are different from the prior art. The carbon emissions of the A2 transportation stage in the embodiment of the present invention include carbon emissions from raw material transportation, carbon emissions from fossil fuel transportation, carbon emissions from basic material transportation, and carbon emissions from inter-factory transportation of semi-finished products. This is in consideration of the energy consumed by steel component factories. Except for electricity and gas, which are transported through power grids and pipelines, other solid and liquid fossil energy sources are mainly transported by vehicles. In addition, since many factories have incomplete machinery and equipment, some prefabrication processes need to be outsourced, resulting in carbon emissions caused by the transportation of some semi-finished products between different factories. The A3 stage is the key stage for producing diversified steel component products, and it is also the difficulty in measuring carbon emissions.

[0051] Specifically, the embodiment of the present invention first monitors and collects data on the prefabrication process of each steel component to obtain the energy consumption data, material consumption data and dynamic change data of the environmental CO2 concentration of each steel component, as shown in Table 1 below. Then, the unorganized emission of greenhouse gases is calculated based on the dynamic change data of the environmental CO2 concentration. According to the energy consumption data, material consumption data and the unorganized emission of greenhouse gases, the carbon emissions of each steel component prefabrication process and the carbon emissions of the workshop shared projects are calculated. It should be noted that, after field investigation, the energy and material consumption of the factory are not only used for steel component production, but are often also used for catering, office and other activities. The embodiment of the present invention emphasizes that the measurement boundary should be defined within the scope of energy and material consumption related to prefabricated steel components, and the consumption caused by other activities should be separated from it and not included in the carbon emissions of steel component prefabrication. The embodiment of the present invention emphasizes that the measurement boundary of steel component carbon emissions is not the physical boundary of the factory, but it is necessary to trace the relevant carbon emission sources of the A3 stage of the prefabricated steel structure component completely. Finally, the carbon emissions of the prefabrication process and the carbon emissions of the workshop shared projects are added to obtain the carbon emissions of each steel component prefabrication process.

[0052] Table 1 Energy and material consumption and on-site unorganized greenhouse gas emissions during the prefabrication stage of steel components

[0053]

[0054]

[0055] It should be noted that carbon emissions during the prefabrication stage of steel components should be expressed in kilograms of carbon dioxide equivalent per piece (kgCO2e / piece) or kilograms of carbon dioxide equivalent per ton (kgCO2e / t).

[0056] The units of measurement for carbon emissions of steel components are specified here, involving two levels: the units of measurement for carbon emissions (numerator) and the units of measurement for product quantity (denominator).

[0057] For carbon emissions, carbon dioxide equivalent (CO2e) is used as the unit of measurement. The national standard "Building Carbon Emission Calculation Standard" GB / T51366-2019 defines "building carbon emissions" as "the sum of greenhouse gas emissions generated by buildings during the production and transportation of building materials, construction and demolition, and operation stages, expressed in carbon dioxide equivalent (CO2e)". Internationally, carbon dioxide equivalent (CO2e) is also generally used as a unified unit of measurement for the overall greenhouse effect of various greenhouse gases.

[0058] For product measurement units, the embodiment of the present invention proposes two carbon emission measurement units for steel component products, "piece" and "t", based on the application scenarios of the carbon emission measurement results:

[0059] The denominator is "piece". The purpose is to measure the carbon emissions of each component individually, so kilograms of carbon dioxide equivalent per piece (kgCO2e / piece) is used as the unit of measurement for carbon emissions of steel components.

[0060] "t" is used as the denominator. Considering the steel structure industry product market transactions, enterprise output calculations and related carbon emission evaluation and certification standards, it is customary to use tons (t) to calculate the transaction, production and use of steel structure components. In order to facilitate the connection with these application scenarios, it is recommended to use kilograms of carbon dioxide equivalent per ton (kgCO2e / t) as the unit of measurement.

[0061] The above two measurement units can be converted by the apparent density of steel component products. To simplify the description, the following only uses kgCO2e / unit as the measurement unit for carbon emissions in the prefabrication stage of steel components.

[0062] In another preferred embodiment, the calculation of the unorganized emission of greenhouse gases based on the dynamic change data of the ambient CO2 concentration includes:

[0063] According to the CO2 concentration dynamic change data, a CO2 concentration-time curve is obtained by fitting, and a CO2 concentration peak value is determined;

[0064] According to the CO2 concentration-time curve and the CO2 concentration peak, determine the CO2 release start time and the CO2 decay end time; wherein the CO2 release period is from the CO2 release start time to the CO2 concentration peak time, and the CO2 decay period is from the CO2 concentration peak time to the CO2 decay end time;

[0065] Fitting the CO2 decay period of the CO2 concentration-time curve to calculate the CO2 release rate;

[0066] Based on the CO2 release rate, the amount of unorganized greenhouse gas escape is calculated.

[0067] Specifically, the unorganized emission of greenhouse gases in the embodiments of the present invention should be measured by actual measurement on site in the workshop or by setting up experimental conditions. When the actual measurement conditions are not available, the supply can be used as the emission. The unorganized emission of greenhouse gases in the prefabrication stage of steel components mainly comes from the emission caused by the use of CO2 shielding gas during the carbon dioxide gas shielded welding process. Since CO2 has a certain high-temperature decomposition around the welding gun, the emission of CO2 is not equal to its supply. And because the workshop space is open, the escaped CO2 gas is quickly diluted into the surrounding air environment, which is difficult to capture accurately. It is necessary to design and build reasonable experimental conditions for measurement.

[0068] Exemplarily, the method for calculating the amount of CO2 gas emission in the carbon dioxide gas shielded welding (hereinafter referred to as "carbon dioxide shielded welding") welding process in the embodiment of the present invention is as follows:

[0069] 1) Record the CO2 concentration-time value points in the experimental operation room

[0070] Build an enclosed experimental operation room, and arrange a two-way welding machine of the same model as that used in the actual processing of steel components in the operation room;

[0071] A CO2 concentration detection instrument is arranged in the operating room to record the CO2 concentration in the air. The CO2 concentration recording frequency is once every minute.

[0072] Conduct two-way welding experiment in the operation room, stabilize the welding machine current, voltage and gas supply rate each time, and last for 30 minutes;

[0073] Each experiment was repeated three times to obtain three sets of air CO2 concentration-time numerical points in the operating room.

[0074] 2) Synchronize with 1) to record the CO2 concentration-time value points outside the operating room

[0075] 3) Identify the peak CO2 concentration in the operating room

[0076] Excel or R programming language is used to smooth the CO2 concentration-time numerical points recorded in 1) to obtain the CO2 concentration-time curve of the air in the operating room during the experiment;

[0077] Based on the above curve, determine the peak CO2 concentration in the operating room air;

[0078] 4) Identify the start time of CO2 release and the end time of decay

[0079] Check 3) all three consecutive measured values ​​before the obtained peak value are zero or positive change data points, the earliest point is identified as the release start time;

[0080] Check 3) all three consecutive measured values ​​after the obtained peak value show zero or negative change data points, and the latest point is identified as the decay end moment;

[0081] Among them, the time between the start of release and the peak of CO2 concentration is identified as the CO2 release period; the time between the peak of CO2 concentration and the end of attenuation is identified as the CO2 attenuation period.

[0082] 5) Calculate the CO2 loss rate in the experimental operation room (referring to the CO2 escape rate that escapes through the gaps to the outside of the operation room because the operation room cannot be completely closed)

[0083] The CO2 concentration-time curve was fitted throughout the decay period to determine the CO2 loss rate L between experimental operations, which was solved by the following first-order mass balance equation:

[0084]

[0085] In the formula, C in Indicates the CO2 concentration in the operating room; C out represents the CO2 concentration in the air outside the operating room; P represents the permeability factor of the operating room; A represents the air exchange rate in the operating room; V represents the mixing volume, that is, the volume of the experimental operating room; E represents the release rate of CO2 in the operating room.

[0086] During the decay period, E = 0, so the general solution of the above equation is as follows:

[0087] C in (t)-C in_O =(C in (t d )-C in_O )×exp(-L(tt d ))#(2)

[0088] In the formula, C in (t d ) represents the CO2 concentration in the air of the operating room at the beginning of the decay period; Cin_O represents the CO2 concentration of the air entering the operating room from outside the operating room, and takes the average CO2 concentration outside the operating room during the experiment; t represents the current time; t d Indicates the time when the decay period starts.

[0089] The loss rate, L, is determined from the slope of a linear fit to the measured data, as shown in the following equation:

[0090]

[0091] 6) Calculate the CO2 release rate

[0092] Based on L determined in 5), the CO2 release rate is calculated by the following equation:

[0093]

[0094] Where E represents the CO2 release rate, which is obtained by linear model fitting, as shown in the following equation:

[0095]

[0096] Where m is the slope determined from the linear model fit; C in (t0) represents the CO2 concentration in the air of the operating room at the beginning of the release period; t0 represents the time when the release period starts.

[0097] 7) Calculate the CO2 gas emission during the second welding process

[0098] The total CO2 release CE was calculated based on the E value during the 30-min experiment. CO2 ;

[0099] Weigh the wire consumption FU of the second welding in the corresponding period;

[0100] Pass CE CO2 The quotient of FU and the CO2 gas emission in the second welding process (i.e. the CO2 emission caused by welding unit weight of welding wire) is obtained.

[0101] In another preferred embodiment, the carbon emissions of the prefabrication process include the carbon emissions of the prefabrication process of the factory and the carbon emissions of the prefabrication process of the outsourced factory, and the carbon emissions of the workshop common projects include the carbon emissions of the workshop common projects of the factory and the carbon emissions of the workshop common projects of the outsourced factory.

[0102] Specifically, the embodiments of the present invention mainly take into account the different objective conditions of each factory, such as the scale and type of machinery. Some factories have complete prefabrication processes, while others may have outsourced parts of the processes. For the latter, carbon emissions cannot be measured only in the factory, but the data of the outsourced processes should also be traced back, otherwise the complete A3 stage data cannot be obtained. Therefore, in the embodiments of the present invention, whether it is the carbon emissions of the prefabrication process or the carbon emissions of the workshop shared projects, in addition to calculating the carbon emissions of the factory, the carbon emissions of the outsourced factory should also be calculated, so that the relevant carbon emission sources of the A3 stage of the steel structure can be fully traced to ensure the accuracy of the carbon emission calculation of the steel structure.

[0103] In another preferred embodiment, the carbon emissions of the prefabrication process are calculated as follows:

[0104] Determine at least one prefabrication process of the steel structure component and a 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;

[0105] The carbon emissions of the prefabrication process are calculated based on the number of functional units, energy consumption data, material consumption data, unorganized emission of greenhouse gases, carbon emission factors and global warming potential values ​​of greenhouse gases corresponding to each prefabrication process.

[0106] In another preferred embodiment, the carbon emissions of the workshop shared project are calculated as follows:

[0107] The carbon emissions of the common 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 the total weight of prefabricated components in the workshop corresponding to each common project in the workshop.

[0108] Specifically, for the A3 stage of steel components, whether prefabricated in the factory or outsourced, the carbon emission sources mainly come from two parts. One part is the prefabrication process for specific components. Typical processes include warehousing and re-inspection of raw material modules; cutting, beveling, bending, assembly, tube rolling, priming, welding, rounding, pipe connection, cold correction, end milling, and inspection of main material modules; cutting, beveling, drilling, and bending of accessory modules; general assembly, correction, and inspection of component assembly modules; grinding, shot blasting, painting, and warehousing of post-processing modules. In addition, there are some workshop shared projects, mainly gantry trucks and forklifts to assist in factory transportation; compressed air; shared lighting systems and scattered electric fans; and necessary mechanical maintenance. Due to the differences in the objective measurement conditions of the two types of data, the following two measurement methods are used to measure the carbon emissions of the prefabrication process and the carbon emissions of the workshop shared projects, respectively, and then the units are unified and accumulated to calculate the carbon emissions of each component prefabrication.

[0109] CE A3 =PCE+SCE

[0110] Where, CE A3 It represents the carbon emissions in the prefabrication stage of steel components in the factory, kgCO2e / unit; PCE represents the carbon emissions in the prefabrication process of steel components, kgCO2e / unit; SCE represents the carbon emissions of shared projects in steel component workshops, kgCO2e / unit.

[0111] 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.

[0112] The embodiment of the present invention proposes a carbon emission measurement method based on the prefabrication process function unit (FU) for the A3 stage of prefabricated steel structure components. FU is a unit of measurement that characterizes the workload of the prefabrication process of prefabricated steel structure components (i.e., the activity level data of the prefabrication process). For example, the painting process is measured in terms of the painting area (m 2 ) represents the amount of paint work, so 1m 2 The painting area is 1 FU of the painting process; similarly, the FU of the main part cutting, assembly, and assembly are the steel raw material cutting surface area (m 2 ), assembly length (m), welding wire consumption (kg), the FU for cutting, drilling and assembly of accessories are respectively the cutting surface area of ​​steel raw materials (m 2 ), drilling volume (m 3 ), welding wire consumption (kg), FU of combined component correction and shot blasting are correction length (m), component surface area (m 2 )etc.

[0113]

[0114] Where PCE represents the carbon emission of the steel component prefabrication process, kgCO2e / unit; PCE i PAD represents the carbon emission of the i-th prefabrication process of steel components, kgCO2e / FU; i represents the workload of the i-th prefabrication process of steel components (i.e., activity level data), FU / piece; PADe i,a PADm represents the energy consumption of the ath type of prefabrication process of the i-th steel component, kg / FU, L / FU or kWh / FU; i,b PADghg represents the consumption of the bth material in the i-th prefabrication process of steel components, kg / FU or t / FU; i,c represents the emission of the cth greenhouse gas in the ith prefabrication process of steel components, kg / FU; CEFe a Indicates the carbon emission factor of the a-th energy source, kgCO2e / kg, kgCO2e / L or kgCO2e / kWh; CEFmb Indicates the carbon emission factor of the bth energy source, kgCO2e / kg or kgCO2e / t; CEFghg c It represents the global warming potential of the cth greenhouse gas, kgCO2e / kg.

[0115] The workshop common items in the steel component prefabrication process should be measured in terms of total workshop consumption and reasonably allocated to each component through accounting rules.

[0116] It should be noted that, after field investigation, in addition to the process carbon emission sources, there are some shared projects in the actual factory, mainly including: forklifts, which consume diesel to assist in factory transportation; gantry trucks, which consume electricity to assist in factory transportation; compressed air systems, which consume electricity; lighting systems, which consume electricity; scattered electric fans, which consume electricity; necessary mechanical maintenance, which consumes hydraulic / cooling / gear oil. The energy consumed by these workshop-shared machines allows the total amount within a certain period to be measured, but cannot be directly measured to the granularity of a single component.

[0117] The embodiment of the present invention refers to relevant regulations to evaluate the distribution scheme of these data. For example, for forklift transportation, in the national standard "Building Carbon Emission Calculation Standard" GB / T 51366-2019, the carbon emissions of building materials transportation are the product of the weight of building materials, transportation distance and transportation mode carbon emission factor, that is, it is considered that when the means of transportation and transportation distance are constant, the transportation carbon emissions are directly proportional to the weight of building materials. Therefore, for the production of steel components, the total fuel consumption data of the workshop can be obtained through the oil gauge or refueling records for a certain period of time, and then allocated to the components according to the calculation rules. Assuming that all components have traveled the same distance from entering the factory, passing through the assembly line operation, and finally leaving the factory, then referring to the calculation method of carbon emissions from building materials transportation, it is considered that the fuel consumption of component transportation is proportional to the weight of the component, then:

[0118]

[0119] Similarly, assuming that the compressed air demand, lighting demand, the number of electric fans turned on to meet the workers' thermal comfort needs, and mechanical maintenance during the processing of steel components are the same, it can be considered that the energy and material consumption generated by factory transportation, compressed air, lighting, electric fan systems, and mechanical maintenance are proportional to the weight of steel components. Therefore, the total amount can be measured and allocated to each component according to the following rules.

[0120]

[0121] Where, SCE represents the carbon emissions of workshop shared projects, kgCO2e / unit; SCE jrepresents the carbon emission of the jth common project in the workshop during the measurement period, kgCO2e; m represents the weight of the measured steel components, kg / piece; M represents the total weight of prefabricated components in the workshop during the measurement period, kg; SADe j,a Indicates the energy consumption of the jth common project in the workshop, kg, L or kWh; SADm j,b Indicates the consumption of the bth material of the jth common project in the workshop, kg or L; CEFe a Indicates the carbon emission factor of the a-th energy source, kgCO2e / kg, kgCO2e / L or kgCO2e / kWh; CEFm b Represents the carbon emission factor of the bth material, kgCO2e / kg or kgCO2e / L.

[0122] It should be noted that the data collection on the workshop site includes energy and material consumption and the unorganized emission of greenhouse gases. Energy is divided into fossil energy consumption and electricity consumption, and materials are divided into solid, liquid and gaseous states according to their forms. Among them, the fossil energy consumption should be measured by weight, volume or capacity using appropriate instruments and equipment on the workshop site. For electricity consumption, it is advisable to monitor the voltage and current in real time through the electrical equipment classification box on the workshop site, and obtain the power consumption through active power integration. For solid material consumption, it is advisable to measure its weight or volume using appropriate instruments and equipment on the workshop site. For liquid and gaseous material consumption, it is advisable to measure its weight or volume using appropriate instruments and equipment on the workshop site. For the measurement of carbon emissions from prefabrication processes, the number of samples should not be less than 30 groups, and the p-value of the fitting result of process carbon emissions-functional unit data should not be higher than 0.05. For the measurement of carbon emissions from workshop common projects, the measurement period should not be shorter than 1 year and should not be shorter than 1 month.

[0123] The measurement error of material measuring instruments and equipment should not exceed ±0.1% of the total measurement volume.

[0124] The measurement accuracy level of energy measuring instruments and equipment should meet the relevant provisions of the current national standard "General Rules for the Equipment and Management of Energy Metering Equipment in Energy-consuming Units" GB / T 17167, as shown in Table 2 below.

[0125] Table 2 "Accuracy requirements for energy measuring instruments for energy-consuming units" specified in GB / T 17167

[0126]

[0127] It should be noted that the energy and material consumption data collected on site need to be converted into carbon emission data through the corresponding carbon emission factors. Therefore, the values ​​of energy and material carbon emission factors are as follows: the carbon emission factor of fossil energy should be determined in accordance with the current national standard "Building Carbon Emission Calculation Standard" GB / T 51366. The carbon emission factor of electricity should give priority to the latest provincial average carbon emission factor of electricity issued by the local administrative department. When there is no provincial data, the latest regional average carbon emission factor of electricity issued by the Ministry of Ecology and Environment can be used. When there is no regional data, the latest national average carbon emission factor of electricity issued by the Ministry of Ecology and Environment can be used. The carbon emission factor of basic materials should use the carbon footprint data of building materials audited by a third party. When there is no third party provided, the updated carbon emission database can be used.

[0128] It should be noted that if a carbon label is to be attached to each component, the carbon emission values ​​between different components need to be distinguished. Assuming that the carbon emissions of steel components A1 and A2 are the same, the carbon emission values ​​between components depend on the factory prefabrication process and are affected by the prefabrication process. The measurement method proposed by the present invention based on process analysis can distinguish the difference in carbon emissions between different components through the measurement of process data in the production stage of each component.

[0129] In addition, due to the different objective conditions of steel structure 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 emissions measurement cannot be carried out only in the factory, but also the data of the outsourced process should be traced, otherwise the complete A3 stage data cannot be obtained. The process-based measurement method of the embodiment of the present invention facilitates the clarification of the types of processes that need to be traced in actual operations and the targeted collection of corresponding data.

[0130] The embodiment of the present invention uses the process as the measurement unit and can collect data without affecting the normal production of steel components. This means that instead of conducting a separate experiment, it cannot be assumed that only the test object is in production on the production line. The practical problem that continuous production leads to difficulty in separating data between different components must be considered.

[0131] See also Figure 3 , Figure 3 This is a schematic diagram of prefabricated carbon emission measurement in the prior art. The conventional idea of ​​the prior art is to track a single component from the entire process of entering the workshop to leaving the workshop. This is the most ideal measurement and accounting method. The data obtained by tracking the entire process is the most reliable, but it is almost not feasible. The reasons are: 1. Some processes in the factory are outsourced, and the complete data cannot be tracked in one workshop; 2. In actual production, many processes are not processed one by one. On the assembly line or in large equipment, many components are processed in a batch and cannot be distinguished unless the production of other components is stopped.

[0132] See also Figure 4 , Figure 4 This is a schematic diagram of carbon emission measurement of the prefabrication process in the carbon emission calculation method of steel structure components provided by the present invention. The measurement idea proposed by the present invention is to fit the carbon emission parameters of the process by tracking the production process and testing enough samples. First, determine the appropriate unit of process workload representation - functional unit FU. For example, the FU of paint is the coating area (m 2 ); secondly, multiple groups of carbon emission tests are carried out on the process to complete the process FU carbon emission quota. For example, H-shaped steels of different lengths, such as 2m, 10m, and 20m, have web and wing plate welds of different lengths, but the embodiment of the present invention only measures the carbon emissions generated by welding a 1m weld to obtain the process carbon emission parameters; finally, the carbon emissions of the welding of the above-mentioned components are reversed.

[0133] In another preferred embodiment, the method further comprises:

[0134] The carbon emissions of each prefabrication process of the steel structure components, the carbon emissions of the prefabrication procedures, the carbon emissions of the workshop common projects, and the process analysis list are stored in layers; wherein the process analysis list includes data on various energy sources, material consumption, unorganized emissions of greenhouse gases, and corresponding carbon emission factors.

[0135] For details, please refer to Figure 5 , Figure 5 The carbon emission calculation results of the steel structure prefabrication stage according to the embodiment of the present invention are as follows: Figure 5 stratified storage, including total carbon emissions (CE A3 ), carbon emission sub-items (PCE and SCE), and process analysis (PA) lists. Each layer is associated through the above corresponding formulas and finally connected to the PA list. The PA list consists of data on various energy sources, material consumption, unorganized emission of greenhouse gases, and corresponding carbon emission factors.

[0136] It should be noted that this data structure is convenient for CE A3 Update to make CE A3 The measurement results represent the latest actual situation. On the one hand, local updates can be made according to changes in local processes. For example, in a certain year, a CE A3甲,A The following year, Factory A changed a process so that it could use fewer PADs to complete the 1FU process. e,a , or the equipment of the processing plant is broken, so it is entrusted to Factory B for processing. Factory B needs more PADs to complete the 1FU process. e,a In these cases, the measurement scheme proposed by the present invention allows data update for this process alone to obtain the CE of A steel component representing the actual situation.A3 On the other hand, the database can be updated in a timely manner based on the changes in the carbon emission factors of energy and basic materials, and the relevant measurement results managed by it can be updated in a timely manner. For example, as the national grid gradually decarbonizes, the carbon emission factor of electricity decreases year by year, or when the test results in one province are migrated to another province, there are differences between the provincial electricity carbon emission factors. In these scenarios, the latest local electricity CEF published by the Ministry of Ecology and Environment and other competent departments can be used to update the data. e data, and update the related data associated with it, without having to perform a complete re-measurement.

[0137] Correspondingly, the present invention also provides a steel structure component carbon emission calculation device, which can implement all processes of the steel structure component carbon emission calculation method in the above embodiment.

[0138] See also Figure 6 , Figure 6 The figure is a schematic diagram of a preferred embodiment of a carbon emission calculation device for a steel structure member provided by the present invention. The carbon emission calculation device for a steel structure member comprises:

[0139] The data acquisition module 601 is used to monitor and collect data on the prefabrication process of each steel structure component to obtain energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structure component;

[0140] The emission calculation module 602 is used to calculate the unorganized emission of greenhouse gases according to the dynamic change data of the ambient CO2 concentration;

[0141] The itemized carbon emission calculation module 603 is used to calculate the carbon emission of each steel structure component prefabrication process and the carbon emission of workshop common items according to the energy consumption data, the material consumption data and the unorganized emission of greenhouse gases;

[0142] The steel component carbon emission calculation module 604 is used to add the carbon emission of the prefabrication process and the carbon emission of the workshop common project to obtain the carbon emission of each steel structure component prefabrication process.

[0143] Preferably, the dissipation amount calculation module 602 is specifically used for:

[0144] According to the CO2 concentration dynamic change data, a CO2 concentration-time curve is obtained by fitting, and a CO2 concentration peak value is determined;

[0145] According to the CO2 concentration-time curve and the CO2 concentration peak, determine the CO2 release start time and the CO2 decay end time; wherein the CO2 release period is from the CO2 release start time to the CO2 concentration peak time, and the CO2 decay period is from the CO2 concentration peak time to the CO2 decay end time;

[0146] Fitting the CO2 decay period of the CO2 concentration-time curve to calculate the CO2 release rate;

[0147] Based on the CO2 release rate, the amount of unorganized greenhouse gas escape is calculated.

[0148] Preferably, the carbon emissions of the prefabrication process include the carbon emissions of the prefabrication process of the factory and the carbon emissions of the prefabrication process of the outsourced factory, and the carbon emissions of the workshop common projects include the carbon emissions of the workshop common projects of the factory and the carbon emissions of the workshop common projects of the outsourced factory.

[0149] Preferably, the carbon emissions of the prefabrication process are calculated as follows:

[0150] Determine at least one prefabrication process of the steel structure component and a functional unit corresponding to each prefabrication process; wherein the functional unit is a basic unit for calculating the carbon emission of the corresponding prefabrication process;

[0151] The carbon emissions of the prefabrication process are calculated based on the number of functional units, energy consumption data, material consumption data, unorganized emission of greenhouse gases, carbon emission factors and global warming potential values ​​of greenhouse gases corresponding to each prefabrication process.

[0152] Preferably, the carbon emissions of the workshop shared project are calculated as follows:

[0153] The carbon emissions of the common 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 the total weight of prefabricated components in the workshop corresponding to each common project in the workshop.

[0154] Preferably, the device further comprises:

[0155] The data storage module is used to store in layers the carbon emissions of each prefabrication process of the steel structure components, the carbon emissions of the prefabrication procedures, the carbon emissions of the workshop common projects, and a process analysis list; wherein the process analysis list includes data on various energy sources, material consumption, unorganized emissions of greenhouse gases, and corresponding carbon emission factors.

[0156] In specific implementation, the working principle, control process and technical effect achieved by the carbon emission calculation device for steel structure components provided in the embodiment of the present invention are the same as those of the carbon emission calculation method for steel structure components in the above-mentioned embodiment, and will not be repeated here.

[0157] See also Figure 7 , Figure 7 7 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, the carbon emission calculation method for steel structure components described in any of the above embodiments is implemented.

[0158] 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 that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0159] The processor 701 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A 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, and various parts of the terminal device are connected using various interfaces and lines.

[0160] The memory 702 mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc., and the data storage area can store related data, etc. In addition, 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 memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, and a flash card (Flash Card), etc., or the memory 702 can also be other volatile solid-state storage devices.

[0161] It should be noted that the above terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 7 The structural diagram is only an example of the above-mentioned terminal device and does not constitute a limitation of the above-mentioned terminal device. It may include more or less components than shown in the figure, or combine certain components, or different components.

[0162] An embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the carbon emission calculation method for steel structure components described in any of the above embodiments.

[0163] An embodiment of the present invention further provides a computer program product, which includes a computer program or computer instructions. When the computer program or the computer instructions are executed by a processor, the method for calculating carbon emissions of steel structure components described in any of the above embodiments is implemented.

[0164] The embodiment of the present invention provides a method, device, equipment, medium and product for calculating carbon emissions of steel structure components. By monitoring and collecting data on the prefabrication process of each steel structure component, the energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structure component are obtained; the amount of unorganized greenhouse gas emissions is calculated according to the environmental CO2 concentration dynamic change data; the carbon emissions of each steel structure component prefabrication process and the carbon emissions of workshop common projects are calculated according to the energy consumption data, the material consumption data and the unorganized greenhouse gas emissions; the carbon emissions of the prefabrication process and the carbon emissions of the workshop common projects are added together to obtain the carbon emissions of each steel structure component prefabrication process. The embodiment of the present invention takes into account all energy and material consumption generated by the prefabrication needs of the steel components during the prefabrication stage, the carbon emissions of workshop common projects, and the carbon emissions caused by unorganized greenhouse gas emissions, thereby effectively improving the accuracy of carbon emission calculation of steel structure components.

[0165] It should be noted that the system embodiment described above is merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the system embodiment provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0166] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for calculating carbon emissions of steel structure components, characterized in that: include: Data is monitored and collected during the prefabrication process of each steel structure component to obtain energy consumption data, material consumption data, and dynamic change data of environmental CO2 concentration of each steel structure component; Calculate the amount of unorganized emission of greenhouse gases based on the dynamic change data of the ambient CO2 concentration; Calculate the carbon emissions of each steel structure component prefabrication process and the carbon emissions of workshop common projects based on the energy consumption data, the material consumption data and the unorganized emission of greenhouse gases; The carbon emissions of the prefabrication process and the carbon emissions of the workshop common items are added together to obtain the carbon emissions of each prefabrication process of the steel structure components.

2. The method for calculating carbon emissions of steel structure components according to claim 1, characterized in that: The calculating of the unorganized emission of greenhouse gases according to the dynamic change data of the ambient CO2 concentration includes: According to the CO2 concentration dynamic change data, a CO2 concentration-time curve is obtained by fitting, and a CO2 concentration peak value is determined; According to the CO2 concentration-time curve and the CO2 concentration peak, determine the CO2 release start time and the CO2 decay end time; wherein the CO2 release period is from the CO2 release start time to the CO2 concentration peak time, and the CO2 decay period is from the CO2 concentration peak time to the CO2 decay end time; Fitting the CO2 decay period of the CO2 concentration-time curve to calculate the CO2 release rate; According to the CO2 release rate, the amount of unorganized emission of greenhouse gases is calculated.

3. The method for calculating carbon emissions of steel structure components according to claim 1, characterized in that: The carbon emissions of the prefabrication process include the carbon emissions of the prefabrication process of this factory and the carbon emissions of the prefabrication process of the outsourced factory, and the carbon emissions of the workshop common projects include the carbon emissions of the workshop common projects of this factory and the carbon emissions of the workshop common projects of the outsourced factory.

4. The method for calculating carbon emissions of steel structure components according to claim 3, characterized in that: The calculation method of carbon emissions of the prefabrication process is: Determine at least one prefabrication process of the steel structure component and a 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 the prefabrication process are calculated based on the number of functional units, energy consumption data, material consumption data, unorganized emission of greenhouse gases, carbon emission factors and global warming potential values ​​of greenhouse gases corresponding to each prefabrication process.

5. The method for calculating carbon emissions of steel structure components according to claim 4, characterized in that: The calculation method of carbon emissions of the workshop shared project is: The carbon emissions of the common 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 the total weight of prefabricated components in the workshop corresponding to each common project in the workshop.

6. The method for calculating carbon emissions of steel structure components according to claim 5, characterized in that: The method further comprises: The carbon emissions of each prefabrication process of the steel structure components, the carbon emissions of the prefabrication procedures, the carbon emissions of the workshop common projects, and the process analysis list are stored in layers; wherein the process analysis list includes data on various energy sources, material consumption, unorganized emissions of greenhouse gases, and corresponding carbon emission factors.

7. A carbon emission calculation device for steel structure components, characterized in that: include: A data acquisition module is used to monitor and collect data on the prefabrication process of each steel structure component to obtain energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structure component; The emission calculation module is used to calculate the unorganized emission of greenhouse gases according to the dynamic change data of the ambient CO2 concentration; A sub-item carbon emission calculation module is used to calculate the carbon emission of each steel structure component prefabrication process and the carbon emission of workshop common items according to the energy consumption data, the material consumption data and the unorganized emission of greenhouse gases; The steel component carbon emission calculation module is used to add the carbon emission of the prefabrication process and the carbon emission of the workshop common project to obtain the carbon emission of each steel structure component prefabrication process.

8. A terminal device, characterized in that: It comprises a processor and a memory, wherein a computer program is stored in the memory, and the computer program is configured to be executed by the processor, and when the processor executes the computer program, the carbon emission calculation method for steel structure components according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the method for calculating carbon emissions of steel structure components as described in any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program or a computer instruction, and when the computer program or the computer instruction is executed by a processor, the method for calculating carbon emissions of a steel structure member as claimed in any one of claims 1 to 6 is implemented.

Images