Steel structure component carbon emission calculation method, device, equipment, medium and product

Abstract

The application discloses a kind of steel structural member carbon emission calculation method, device, equipment, medium and product, the method includes: the prefabrication process of each steel structural member is monitored and collected with data, to obtain energy consumption data, material consumption data and environmental CO2 concentration dynamic change data;According to environmental CO2 concentration dynamic change data, calculate the amount of greenhouse gas unorganized escape;According to energy consumption data, material consumption data and the amount of greenhouse gas unorganized escape, calculate the carbon emission of each steel structural member prefabrication process and the carbon emission of workshop shared project;The carbon emission of prefabrication process and the carbon emission of workshop shared project are added, obtain the carbon emission of each steel structural member prefabrication process.The application considers that all energy and material consumption, carbon emission of workshop shared project, and carbon emission caused by unorganized greenhouse gas escape due to component prefabrication need in steel component prefabrication stage, to be able to effectively improve the accuracy of steel structural member carbon emission calculation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of carbon emission calculation, and in particular to a steel structural member carbon emission calculation method, device, equipment, medium and product. BACKGROUND

[0002] The construction industry is an important part of carbon emissions in China. The carbon emissions caused by building material raw material mining, building material product production, transportation and construction process account for more than 20% of the total carbon emissions of the whole society. Steel structure is an important part of new building industrialization and prefabricated building in China. At present, the related carbon emission calculation is mainly concentrated in the steel industry or production enterprise level. The calculation is based on the input-output method, and the carbon emission calculation boundary is set as the carbon emission occurred in the enterprise production system. The types include fossil fuel combustion, production process, purchased electricity and heat, and carbon fixation products.

[0003] However, this calculation method is suitable for macro industry, organization and enterprise level, and is not suitable for product carbon emission measurement. The calculation result can only get the total carbon emission data, cannot reflect the intermediate process, cannot present the carbon emission source, and the result obtained by dividing the total carbon emission by the total output of the factory in the corresponding period is the average value of steel carbon emission, which cannot reflect the carbon emission difference between different steel structure products. In addition, due to the fact that the production and life and other energy consumption are not separated in the actual data management of the factory, the data collected at the enterprise level is mixed with some non-production energy consumption to some extent. At the same time, this method does not consider the carbon emission caused by material consumption and unorganized greenhouse gas emission, resulting in inaccurate calculation results. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a steel structural member carbon emission calculation method, device, equipment, medium and product, which considers all energy and material consumption, carbon emission of workshop common items and carbon emission caused by unorganized greenhouse gas emission in the prefabrication stage of steel members, so as to effectively improve the accuracy of steel structural member carbon emission calculation.

[0005] In order to achieve the above purpose, the embodiment of the present application provides a steel structural member carbon emission calculation method, comprising:

[0006] The prefabrication process of each steel structural member is monitored and collected to obtain energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structural member;

[0007] According to the environmental CO2 concentration dynamic change data, the unorganized greenhouse gas emission amount is calculated;

[0008] According to the energy consumption data, the material consumption data, and the greenhouse gas fugitive emission amount, carbon emissions of each of the steel structure component prefabrication processes and carbon emissions of the workshop shared project are calculated;

[0009] The carbon emissions of the prefabrication processes and the carbon emissions of the workshop shared project are added to obtain the carbon emissions of each of the steel structure component prefabrication processes.

[0010] As an improvement of the above scheme, the calculation of the greenhouse gas fugitive emission amount according to the dynamic change data of the ambient CO2 concentration comprises:

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

[0012] According to the CO2 concentration-time curve and the CO2 concentration peak value, a CO2 release start time and a decay end time are determined; wherein, the CO2 release start time to the CO2 concentration peak value time is a CO2 release period, and the CO2 concentration peak value time to the decay end time is a CO2 decay period;

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

[0014] According to the CO2 release rate, the greenhouse gas fugitive emission amount is calculated.

[0015] As an improvement of the above scheme, the carbon emissions of the prefabrication processes comprise carbon emissions of in-house prefabrication processes and carbon emissions of outsourcing factory prefabrication processes, and the carbon emissions of the workshop shared project comprise carbon emissions of in-house workshop shared projects and carbon emissions of outsourcing factory workshop shared projects.

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

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

[0018] According to the number of functional units corresponding to each of the prefabrication processes, the energy consumption data, the material consumption data, the greenhouse gas fugitive emission amount, a carbon emission factor, and a global warming potential value of the greenhouse gas, the carbon emissions of the prefabrication processes are calculated.

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

[0020] According to the energy consumption data, the material consumption data, the carbon emission factor, the weight of the steel structure component and the total weight of the prefabricated component of the workshop corresponding to each common project of the workshop, the carbon emission of the common project of the workshop is calculated.

[0021] As an improvement of the above scheme, the method further comprises:

[0022] The carbon emission of each prefabrication process of the steel structure component, the carbon emission of the prefabrication process, the carbon emission of the common project of the workshop and the process analysis list are stored in layers; wherein, the process analysis list comprises energy, material consumption, unorganized emission amount of greenhouse gas and corresponding carbon emission factor data.

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

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

[0025] An emission amount calculation module is configured to calculate the unorganized emission amount of greenhouse gas according to the environmental CO2 concentration dynamic change data;

[0026] An itemized carbon emission calculation module is configured to calculate the carbon emission of each prefabrication process of the steel structure component and the carbon emission of the common project of the workshop according to the energy consumption data, the material consumption data and the unorganized emission amount of greenhouse gas;

[0027] A steel component carbon emission calculation module is configured to add the carbon emission of the prefabrication process and the carbon emission of the common project of the workshop, so as to obtain the carbon emission of each prefabrication process of the steel structure component.

[0028] The embodiment of the present application also provides a terminal device, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the steel structure component carbon emission calculation method of any one of the above when executing the computer program.

[0029] The embodiment of the present application also provides a computer readable storage medium, comprising a stored computer program, wherein the computer readable storage medium controls the device where the computer readable storage medium is located to execute the steel structure component carbon emission calculation method of any one of the above when the computer program runs.

[0030] The embodiment of the present application also provides a computer program product, which comprises a computer program or computer instructions, and the computer program or the computer instructions are executed by a processor to realize the steel structure member carbon emission calculation method.

[0031] Compared with the prior art, the steel structure member carbon emission calculation method, device, equipment, medium and product provided by the embodiment of the present application have the beneficial effects that: the data monitoring and collection are performed on the prefabrication process of each steel structure member to obtain energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structure member; the unorganized greenhouse gas emission amount is calculated according to the environmental CO2 concentration dynamic change data; the carbon emission of the prefabrication process of each steel structure member and the carbon emission of the workshop shared project are calculated according to the energy consumption data, the material consumption data and the unorganized greenhouse gas emission amount; and the carbon emission of the prefabrication process of each steel structure member is obtained by adding the carbon emission of the prefabrication process and the carbon emission of the workshop shared project. The embodiment of the present application considers all energy and material consumption, carbon emission of the workshop shared project and carbon emission caused by unorganized greenhouse gas emission due to the need of member prefabrication in the prefabrication stage of the steel member, so that the accuracy of the steel structure member carbon emission calculation can be effectively improved. BRIEF DESCRIPTION OF DRAWINGS

[0032] Figure 1 is a flowchart of a preferred embodiment of a steel structure member carbon emission calculation method provided by the present application;

[0033] Figure 2 is a schematic diagram of a building full life cycle stage division framework stipulated by international standard ISO 21930;

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

[0035] Figure 4 is a schematic diagram of prefabrication process carbon emission metering in a steel structure member carbon emission calculation method provided by the present application;

[0036] Figure 5 is a schematic diagram of calculation data hierarchical storage in a steel structure member carbon emission calculation method provided by the present application;

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

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

[0039] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0040] Please refer to Figure 1 , Figure 1 is a flowchart of a preferred embodiment of a steel structure member carbon emission calculation method provided by the present application. The steel structure member carbon emission calculation method comprises:

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

[0042] S2, greenhouse gas fugitive emission is calculated according to the environmental CO2 concentration dynamic change data;

[0043] S3, carbon emission of a prefabrication process of each steel structure member and carbon emission of a workshop shared project are calculated according to the energy consumption data, the material consumption data and the greenhouse gas fugitive emission;

[0044] S4, the carbon emission of the prefabrication process and the carbon emission of the workshop shared project are added to obtain carbon emission of the prefabrication process of each steel structure member.

[0045] It should be noted that as a bulk industrial raw material, steel production carbon emission has attracted more attention at home and abroad, and based on the carbon emission calculation principle of general industry or product, a carbon emission calculation method for the steel industry and steel material has been developed. Internationally, relevant carbon emission calculation mainly focuses on the steel industry or production enterprise level, and the calculation basis is based on the input-output method. Correspondingly, the domestic has introduced the Steel Production Enterprises Greenhouse Gas Emission Accounting Method and Reporting Guide (Trial), Greenhouse Gas Emission Accounting and Reporting Requirements-Steel Production Enterprises and other steel carbon emission related calculation standards. Among them, the latter stipulates that the carbon emission calculation boundary is the carbon emission occurring within the enterprise production system, including fossil fuel combustion, production process, purchased electricity and heat, and several aspects of carbon fixation products.

[0046] However, the prior art has the following limitations:

[0047] 1) The above method is suitable for macro industry, organization and enterprise level, and is not suitable for product carbon emission measurement. With the whole system as the boundary, the physical relationship between energy and material input and output can be reflected through input-output (IO) information, the data requirement is less, the operability is strong, and it is suitable for macro system analysis (national, department or organization level), but the calculation result can only get the total carbon emission data, cannot reflect the intermediate process, and cannot present the carbon emission source. And due to the fact that in the management of factory real data, production and life and other energy use are not separated, leading to the data collected at the enterprise level mixed with some non-production energy use to varying degrees.

[0048] 2) The accounting result cannot reflect the carbon emission difference between different steel structure products. The above total carbon emission divided by the total output of the factory in the corresponding period is the average carbon emission of steel, which is not a problem for some products with high standardization and small differences between different models, but prefabricated steel structure products are usually customized according to engineering needs, and the processing procedures and processing workload of each product are different, resulting in large differences between each other. 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. Investigation 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 procedures, while others may have some procedures outsourced. Therefore, the boundary of steel structure product carbon emission measurement is not equal to the physical boundary, and for the case of outsourcing of procedures, the data of the outsourced procedures should also be traced back, otherwise the complete product carbon emission data cannot be obtained.

[0050] Based on this, the embodiment of the present application provides a steel structure component carbon emission calculation method, which measures the carbon emission of steel structure component (steel component for short) product by using a process analysis (PA) based method. First, all related items of carbon emission before the steel component product leaves the factory are sorted out, the carbon emission of each item is measured, and then the carbon emission of the final steel component prefabrication stage is calculated. Please refer to Figure 2 , Figure 2is the building life cycle stage division framework diagram specified in international standard ISO 21930. Corresponding to ISO 21930, the building material production carbon emission includes three parts: raw material mining (A1), raw material transportation to building material product processing plant (A2), and building material product production (A3). A1-A3 of ISO 21930 standard is usually referred to as the "from cradle to gate" stage, which is also the stage covered by general product carbon labeling data. The present application is aimed at the A3 stage, i.e. the stage of prefabricating steel materials (steel plates) transported to the prefabricated steel structure component processing plant into various steel components. It should be noted that the carbon emission of the A1 stage in the embodiments of the present application can be directly obtained from the existing steel plate raw material database, but the carbon emission of the A2 stage is different from the prior art. The carbon emission of the A2 transportation stage in the embodiments of the present application includes the carbon emission of raw material transportation, the carbon emission of fossil fuel transportation, the carbon emission of basic material transportation, and the carbon emission of semi-finished product inter-plant transportation. This is because the energy consumed by the steel component plant is considered. In addition to electricity and gas being delivered through the power grid and pipe network, other solid and liquid fossil energy is mainly transported by vehicles. In addition, due to the incomplete mechanical equipment of many factories, part of the prefabrication process needs to be outsourced, thereby causing the transportation carbon emission caused by the back and forth of part of the semi-finished products between different factories. The A3 stage is the key stage of producing diversified steel component products and is also the difficulty of carbon emission measurement.

[0051] Specifically, the embodiments of the present application first perform data monitoring and collection on the prefabrication process of each steel component to obtain the energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel component, as shown in Table 1 below. Then, according to the environmental CO2 concentration dynamic change data, the amount of unorganized greenhouse gas emission is calculated. According to the energy consumption data, material consumption data and unorganized greenhouse gas emission, the carbon emission of each steel component prefabrication process and the carbon emission of workshop shared items are calculated. It should be noted that through field investigation, the energy and material consumption of the factory is not only used for steel component production, but also often used for catering, office and other activities. The embodiments of the present application emphasize that the measurement boundary should be limited to the energy and material consumption range related to the prefabricated steel component, and the consumption caused by other activities should be separated therefrom and not included in the steel component prefabrication carbon emission. The embodiments of the present application emphasize that the steel component carbon emission measurement boundary is not the physical boundary of the factory, but the related carbon emission sources of the prefabricated steel structure component A3 stage need to be traced completely. Finally, the carbon emission of the prefabrication process and the carbon emission of the workshop shared items are added to obtain the carbon emission of each steel component prefabrication process.

[0052] Table 1 Energy, material consumption and on-site unorganized greenhouse gas emission of steel component factory prefabrication stage

[0053]

[0054]

[0055] It should be noted that the carbon emissions of steel components in the prefabrication stage should be expressed in kgCO2e / each or kgCO2e / t.

[0056] Here, the measurement unit of steel component carbon emissions involves two levels: the measurement unit of carbon emissions (numerator) and the measurement unit of product quantity (denominator).

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

[0058] For product measurement units, the present embodiment proposes two steel component product carbon emission measurement units, "each" and "t", according to the application scenarios of carbon emission measurement results:

[0059] Taking "each" as the denominator. The purpose is to measure the carbon emissions of each component separately, so kgCO2e / each is used as the measurement unit of steel component carbon emissions.

[0060] Taking "t" as the denominator. Considering that the steel structure industry product market transactions, enterprise production calculation, and related carbon emission evaluation and certification standards are used to calculate the quantity of steel structure component transactions, production, and use in tons (t), in order to facilitate the connection with these application scenarios, it is recommended to use kgCO2e / t as the measurement unit.

[0061] The above two measurement units can be converted through the apparent density of steel component products. To simplify the description, kgCO2e / each is used as the measurement unit of steel component prefabrication stage carbon emissions.

[0062] In another preferred embodiment, the calculation of the amount of unorganized greenhouse gas emission according to the dynamic change data of the environmental CO2 concentration comprises:

[0063] According to the dynamic change data of the CO2 concentration, a CO2 concentration-time curve is fitted, and the peak value of the CO2 concentration is determined.

[0064] determine a release start time and a decay end time of the CO2 according to the CO2 concentration-time curve and the CO2 concentration peak value; wherein the release start time to the CO2 concentration peak value time is a CO2 release period, and the CO2 concentration peak value time to the decay end time is a CO2 decay period;

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

[0066] calculate the amount of fugitive emission of greenhouse gases according to the CO2 release rate.

[0067] Specifically, the amount of fugitive emission of greenhouse gases in the embodiment of the present application is preferably measured on site in the workshop or by building an experimental condition, and when the measurement condition is not available, the supply amount can be used as the emission amount. The fugitive emission of greenhouse gases during the prefabrication of steel members mainly comes from the emission caused by the use of CO2 protective gas during the CO2 gas shield welding process. Since CO2 is decomposed at a high temperature around the welding gun, the amount of CO2 emission is not equal to the supply amount. Moreover, since the workshop space is open, the emitted CO2 gas is quickly diluted into the surrounding air environment, which is difficult to accurately capture, and therefore a reasonable experimental condition needs to be designed and built for measurement.

[0068] For example, the calculation method of the amount of CO2 gas emission during the CO2 gas shield welding (referred to as "two-protection welding") welding process in the embodiment of the present application is as follows:

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

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

[0071] Arrange a CO2 concentration detection instrument in the operation room to record the air CO2 concentration, and the CO2 concentration recording frequency is once per minute;

[0072] Perform two-protection welding experimental operation in the operation room, and stabilize the welding machine current, voltage and gas supply rate each time for 30 minutes;

[0073] Each group of experiments is repeated three times to obtain three groups of air CO2 concentration-time value points in the operation room.

[0074] 2) Synchronously with 1), record the CO2 concentration-time value points outside the operation room

[0075] 3) Identify the air CO2 concentration peak value in the operation room

[0076] 1) The CO2 concentration-time data points recorded are smoothed using Excel or R programming language to obtain the CO2 concentration-time curve in the experimental booth during the experiment;

[0077] Based on the above curve, the peak value of CO2 concentration in the booth is determined;

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

[0079] Check all three consecutive measurement points before the peak value obtained in 3) for zero or positive change, and the earliest point is identified as the start time of release;

[0080] Check all three consecutive measurement points after the peak value obtained in 3) for zero or negative change, and the latest point is identified as the end time of decay;

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

[0082] 5) Calculate the CO2 loss rate of the experimental booth (i.e. the CO2 escape rate through the gap to the outside of the booth due to the incomplete sealing of the booth)

[0083] Fit the entire decay period of the CO2 concentration-time curve to determine the CO2 loss rate L of the experimental booth, which is solved by the following first-order mass balance equation:

[0084]

[0085] In the formula, C in represents the CO2 concentration of air in the booth; C out represents the CO2 concentration of air outside the booth; P represents the booth permeation factor; A represents the air exchange rate of the booth; V represents the mixing volume, i.e. the volume of the experimental booth; E represents the release rate of CO2 in the booth.

[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(t-t d ))#(2)

[0088] In the formula, C in (t d ) represents the CO2 concentration of air in the booth at the beginning of the decay period; Cin_O represents the concentration of CO2 in the air inside the operating room from outside the operating room, taking the average CO2 concentration outside the operating room during the experiment; t represents the current time; t d represents the time at which the decay period begins.

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

[0090]

[0091] 6) Calculate the CO2 release rate

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

[0093]

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

[0095]

[0096] In the formula, m represents the slope determined from the linear model fitting; C in (t0) represents the CO2 concentration of the air inside the operating room at the beginning of the release period; t0 represents the time at which the release period begins.

[0097] 7) Calculate the amount of CO2 gas emitted during the Erbos welding process

[0098] According to the cumulative calculation of E value during the 30 min experiment, the total CO2 release amount CE is calculated CO2 ;

[0099] The consumption amount FU of Erbos welding wire during the corresponding period is weighed;

[0100] The quotient of CE CO2 and FU is obtained, which is the amount of CO2 gas emitted during the Erbos welding process (i.e. the amount of CO2 emitted per unit weight of welding wire).

[0101] In another preferred embodiment, the carbon emissions of the prefabrication process include the carbon emissions of the in-house prefabrication process and the carbon emissions of the outsourced factory prefabrication process, and the carbon emissions of the workshop shared project include the carbon emissions of the in-house workshop shared project and the carbon emissions of the outsourced factory workshop shared project.

[0102] Specifically, the embodiments of the present application mainly consider that the objective conditions such as the scale of each factory and the type of machinery are different, some factories have complete prefabrication processes, while others may have some processes outsourced. For the latter, carbon emission measurement cannot be carried out only in the factory, but also the data of the outsourced processes should be traced back, otherwise the complete A3 stage data cannot be obtained. Therefore, in the embodiments of the present application, whether the carbon emission of the prefabrication process or the carbon emission of the workshop shared project, in addition to calculating the carbon emission of the factory, the carbon emission of the outsourcing factory should also be calculated, so that the related carbon emission sources of the steel member A3 stage can be traced back completely, to ensure the accuracy of the calculation of the carbon emission of the steel member.

[0103] In another preferred embodiment, the calculation method of the carbon emission of the prefabrication process is:

[0104] determining at least one prefabrication process of the steel structure member, and a corresponding functional unit of each prefabrication process; wherein the functional unit is a basic unit for calculating the carbon emission of the corresponding prefabrication process;

[0105] calculating the carbon emission of the prefabrication process according to the number of functional units corresponding to each prefabrication process, energy consumption data, material consumption data, unorganized greenhouse gas emission amount, carbon emission factor and global warming potential value of greenhouse gas.

[0106] In another preferred embodiment, the calculation method of the carbon emission of the prefabrication process is:

[0107] calculating the carbon emission of the workshop shared project according to the energy consumption data, material consumption data, carbon emission factor, weight of the steel structure member and total weight of the prefabricated member of the workshop corresponding to each shared project of the workshop.

[0108] Specifically, for the A3 stage of the steel member, whether the prefabrication is in the factory or in the outsourcing factory, the carbon emission sources mainly come from two parts, one part is the prefabrication process for specific members, and the typical processes include the warehousing of raw material modules, reinspection; blanking, beveling, bending, assembling, pipe rolling, bottoming, welding, rounding, pipe connection, cold correction, end milling, inspection of main material modules; blanking, beveling, drilling, bending of accessory modules; general assembly, correction, inspection of component assembly modules; polishing, shot blasting, painting, warehousing of post-processing modules. In addition, there are some workshop shared projects, mainly including the auxiliary factory transportation of gantry crane and forklift; compressed air; shared lighting system and scattered electric fan; and necessary mechanical maintenance. Due to the difference in objective measurement conditions of the two types of data, the following two measurement methods are correspondingly adopted to measure the carbon emission of the prefabrication process and the carbon emission of the workshop shared project respectively, and then the units are unified and added to account for the prefabrication carbon emission of each member.

[0109] CE A3 = PCE + SCE

[0110] CE = PCE + SCE A3 PCE represents the carbon emissions of the steel member prefabrication process, kgCO2e / individual; SCE represents the carbon emissions of the steel member workshop shared items, kgCO2e / individual.

[0111] The raw materials, main materials, accessories, component assembly and post-processing modules of the steel member prefabrication process should be measured by the prefabrication process function unit, and the carbon emissions of each component prefabrication process are accumulated.

[0112] The embodiment of the present application is directed to the prefabricated steel structure component A3 stage, and proposes a carbon emission measurement method taking the prefabrication process function unit (FU) as the basic unit. FU is a measurement unit representing the work load of the prefabricated steel structure component prefabrication process (i.e., the prefabrication process activity level data). For example, the painting process represents the painting work load by the brushing area (m 2 ), so 1 m 2 of brushing area is 1 FU of the painting process; similarly, the FU of the main part cutting, assembly and assembly is the cutting surface area (m 2 ) of the steel raw material, the assembly length (m), and the welding wire consumption (kg), respectively; the FU of the accessory cutting, drilling and assembly is the cutting surface area (m 2 ), drilling volume (m 3 ) and welding wire consumption (kg), respectively; the FU of the combined component correction and shot blasting is the correction length (m), the component surface area (m 2 ), etc.

[0113]

[0114] PCE represents the carbon emissions of the steel member prefabrication process, kgCO2e / individual; PCE i represents the carbon emissions of the i-th prefabrication process of the steel member, kgCO2e / FU; PAD i represents the work load (i.e., the activity level data) of the i-th prefabrication process of the steel member, FU / individual; PADe i,a represents the energy consumption of the i-th prefabrication process of the steel member, kg / FU, L / FU or kWh / FU; PADm i,b represents the b-th material consumption of the i-th prefabrication process of the steel member, kg / FU or t / FU; PADghg i,c represents the c-th greenhouse gas emission of the i-th prefabrication process of the steel member, kg / FU; CEFe a represents the carbon emission factor of the a-th energy, kgCO2e / kg, kgCO2e / L or kgCO2e / kWh; CEFmb This represents the carbon emission factor of energy source b, expressed as kgCO2e / kg or kgCO2e / t; CEFghg c This represents the global warming potential of the c-th greenhouse gas, expressed as kgCO2e / kg.

[0115] 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.

[0116] 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.

[0117] This invention, in accordance with relevant regulations, evaluates the allocation scheme of these data. For example, for forklift transportation, the national standard "Calculation Standard for Carbon Emissions in Buildings" GB / T 51366-2019 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 through 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:

[0118]

[0119] 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.

[0120]

[0121] In the formula, SCE represents the carbon emissions of shared workshop items, kgCO2e / item; SCE jSADe represents the carbon emission of the jth common item in the workshop during the measurement period, kgCO2e; m represents the weight of the measured steel member, kg / pcs; M represents the total weight of the prefabricated members in the workshop during the measurement period, kg; SADe j,a SADm represents the energy consumption of the jth common item in the workshop, kg, L or kWh; SADm j,b SADm represents the energy consumption of the jth common item in the workshop, kg, L or kWh; SADm a CEFm represents the carbon emission factor of the a kind of energy, kgCO2e / kg, kgCO2e / L or kgCO2e / kWh; CEFm b CEFm represents the carbon emission factor of the a kind of energy, kgCO2e / kg, kgCO2e / L or kgCO2e / kWh; CEFm

[0122] It should be noted that the workshop site data acquisition includes energy and material consumption and unorganized greenhouse gas emission, energy is divided into fossil energy consumption and power consumption, and materials are divided into solid, liquid and gaseous according to their forms. Among them, the fossil energy consumption should be measured by appropriate instruments and equipment in the workshop site to measure its weight, volume or volume. The power consumption should be monitored in real time by the voltage and current of the electric device grading electric box in the workshop site, and the power consumption is obtained by integrating the active power. The solid material consumption should be measured by appropriate instruments and equipment in the workshop site to measure its weight or volume. The liquid and gaseous material consumption should be measured by appropriate instruments and equipment in the workshop site to measure its weight or volume. The sample number of prefabricated process carbon emission measurement should not be less than 30 groups, and the process carbon emission-function unit data fitting result p value should not be higher than 0.05. The measurement period of the workshop common item carbon emission should not be less than 1 year, and should not be less than 1 month.

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

[0124] The measurement accuracy grade of energy class measurement instruments and equipment should meet the relevant provisions of the current national standard "General Principles for Energy Measurement Apparatus of Energy-using Units" GB / T 17167, as shown in the following table 2.

[0125] Table 2 "Accuracy grade requirements of energy measurement apparatus of energy-using units" provided by GB / T 17167

[0126]

[0127] It should be noted that the on-site collected energy and material consumption data need to be converted into carbon emission data through corresponding carbon emission factors. Therefore, the value of the energy and material carbon emission factor is as follows: the carbon emission factor of fossil energy should be determined according to the current national standard “Building Carbon Emission Calculation Standard” GB / T 51366. The carbon emission factor of electricity should preferably use the latest provincial average carbon emission factor of electricity published by the local administrative department in charge, when there is no provincial data, the latest regional average carbon emission factor of electricity published 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 published by the Ministry of Ecology and Environment can be used. The carbon emission factor of basic materials should preferably use the third-party audited building material carbon footprint data, when there is no third-party, the updated carbon emission database can be used.

[0128] It should be noted that in order to realize the carbon labeling of each component, it is necessary to distinguish the carbon emission values between different components, and in the case of assuming that the carbon emissions of steel components A1 and A2 are the same, the carbon emission values between components depend on the prefabrication process of the factory and are affected by the prefabrication process. The measurement method proposed by the present application based on process analysis can distinguish the difference in carbon emission between different components through process data measurement of each component production stage.

[0129] In addition, due to the different objective conditions such as the scale and type of machinery of steel structure factories, some factories have complete prefabrication processes, while others may have some outsourcing processes. For the latter, carbon emission measurement cannot be carried out only in the factory, but also the data of the outsourced processes should be traced back, otherwise the complete A3 stage data cannot be obtained. The process-based measurement method of the embodiment of the present application is convenient for clearing the types of processes that need to be traced back in actual operation, and the corresponding data is collected accordingly.

[0130] The embodiment of the present application takes the process as the measurement unit, and the data collection can be carried out without affecting the normal production of steel components, which means that it is not necessary to do experiments, and the real problem that the data between different components cannot be easily separated due to continuous production should be considered.

[0131] Please refer to Figure 3 , Figure 3 is a prefabrication carbon emission measurement schematic diagram in the prior art. The conventional idea of the prior art is to track a single component from the entry workshop to the exit workshop. This is the most ideal measurement and accounting method, and the data obtained by tracking the whole process is the most reliable, but it is almost not feasible, because: 1. Some processes are outsourced in the factory, and the complete data cannot be tracked in one workshop; 2. In actual production, many processes are not processed one by one, and many components are processed in batches in the assembly line or large equipment, and it is impossible to distinguish them unless other component production is stopped.

[0132] Please refer toFigure 4 , Figure 4 is a pre-fabrication process carbon emission metering schematic diagram in a steel structure member carbon emission calculation method provided by the present application. The metering idea provided by the present application is to track production processes, test enough samples, and fit process carbon emission parameters. First, a suitable process workload representation unit, functional unit FU, is determined, for example, the FU of paint is brushing area (m 2 ); second, multiple carbon emission tests are performed on the process, the process FU carbon emission quota is completed, for example, 2m, 10m, and 20m different lengths of H-shaped steel, the web and flange welds are not the same length, but the embodiment of the present application only measures the carbon emission generated by welding 1m weld to obtain process carbon emission parameters; finally, the carbon emission of welding of each component is calculated again.

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

[0134] The carbon emission of each pre-fabrication process of the steel structure member, the carbon emission of the pre-fabrication process, the carbon emission of the workshop common project, and the process analysis list are stored in layers; wherein the process analysis list includes energy, material consumption, greenhouse gas fugitive emission, and corresponding carbon emission factor data.

[0135] Specifically, please refer to Figure 5 , Figure 5 is a calculation data hierarchical storage schematic diagram in a steel structure member carbon emission calculation method provided by the present application. The carbon emission metering results of the steel member pre-fabrication stage of the embodiment of the present application are stored in layers in the Figure 5 , including carbon emission total (CE A3 ), carbon emission sub-items (PCE and SCE), and process analysis (PA) list, each layer is associated through the above corresponding formula, and finally connected to the PA list. The PA list is composed of energy, material consumption, greenhouse gas fugitive emission, and corresponding carbon emission factor data.

[0136] It should be noted that this data structure facilitates updating of CE A3 , so that the CE A3 metering result represents the latest actual situation. On the one hand, local updating can be performed according to local process changes, for example, a CE A3甲,A of A steel member is obtained by metering in factory A in a certain year, the next year factory A replaces a certain process, so that less PAD e,a is used to complete 1FU process, or the equipment of the process in the processing plant is broken and is entrusted to factory B for processing, factory B needs more PAD e,a to complete 1FU process, in these cases, the metering scheme provided by the present application allows separate data updating of this process to obtain the CEA3 The data can be updated according to the changes of the energy and basic material carbon emission factors, and the related measurement results managed by the database can be updated in time, for example, as the national power grid gradually decarbonizes, the power carbon emission factor decreases year by year, or when the test results of a certain province are moved to another province, due to the difference between the provincial power carbon emission factors, in these scenarios, the latest local power CEF e The data can be updated according to the changes of the energy and basic material carbon emission factors, and the related measurement results managed by the database can be updated in time, for example, as the national power grid gradually decarbonizes, the power carbon emission factor decreases year by year, or when the test results of a certain province are moved to another province, due to the difference between the provincial power carbon emission factors, in these scenarios, the latest local power CEF

[0137] Correspondingly, the application also provides a steel structure member carbon emission calculation device capable of realizing all processes of the steel structure member carbon emission calculation method in the above embodiments.

[0138] Please refer to Figure 6 , Figure 6 is a structural schematic diagram of a preferred embodiment of a steel structure member carbon emission calculation device provided by the application. The steel structure member carbon emission calculation device comprises:

[0139] A data acquisition module 601 is configured to monitor and acquire data of a prefabrication process of each steel structure member to obtain energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structure member.

[0140] A fugitive emission amount calculation module 602 is configured to calculate a fugitive emission amount of greenhouse gases according to the environmental CO2 concentration dynamic change data.

[0141] A sub-item carbon emission calculation module 603 is configured to calculate carbon emissions of a prefabrication process of each steel structure member and carbon emissions of a workshop shared item according to the energy consumption data, the material consumption data and the fugitive emission amount of greenhouse gases.

[0142] A steel member carbon emission calculation module 604 is configured to add the carbon emissions of the prefabrication process and the carbon emissions of the workshop shared item to obtain carbon emissions of the prefabrication process of each steel structure member.

[0143] Preferably, the fugitive emission amount calculation module 602 is specifically configured to:

[0144] fit a CO2 concentration-time curve according to the CO2 concentration dynamic change data and determine a CO2 concentration peak value;

[0145] determine a release start time and a decay end time of the CO2 according to the CO2 concentration-time curve and the CO2 concentration peak value; wherein the release start time to the CO2 concentration peak value time is a CO2 release period, and the CO2 concentration peak value time to the decay end time is a CO2 decay period;

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

[0147] calculate a fugitive emission amount of greenhouse gas according to the CO2 release rate.

[0148] Preferably, the carbon emission of the prefabrication process includes the carbon emission of the in-house prefabrication process and the carbon emission of the outsourcing factory prefabrication process, and the carbon emission of the workshop shared project includes the carbon emission of the in-house workshop shared project and the carbon emission of the outsourcing factory workshop shared project.

[0149] Preferably, the calculation method of the carbon emission of the prefabrication process is:

[0150] determine at least one prefabrication process of the steel structural member, and a corresponding functional unit of each prefabrication process; wherein the functional unit is a basic unit for calculating the carbon emission of the corresponding prefabrication process;

[0151] calculate the carbon emission of the prefabrication process according to the number of functional units corresponding to each prefabrication process, energy consumption data, material consumption data, fugitive emission amount of greenhouse gas, carbon emission factor and global warming potential value of greenhouse gas.

[0152] Preferably, the calculation method of the carbon emission of the workshop shared project is:

[0153] calculate the carbon emission of the workshop shared project according to the energy consumption data, material consumption data, carbon emission factor corresponding to each shared project of the workshop, the weight of the steel structural member and the total weight of the prefabricated member of the workshop.

[0154] Preferably, the device further comprises:

[0155] a data storage module for storing the carbon emission of each prefabrication process of the steel structural member, the carbon emission of the prefabrication process, the carbon emission of the workshop shared project and the process analysis checklist in layers; wherein the process analysis checklist includes energy, material consumption, fugitive emission amount of greenhouse gas and corresponding carbon emission factor data.

[0156] In specific implementations, the working principle, control flow and technical effects of the steel structural member carbon emission calculation device provided by the embodiments of the present application correspond to the same steel structural member carbon emission calculation method as in the above embodiments, and will not be repeated here.

[0157] Referring to Figure 7 , Figure 7 is a structural schematic diagram of a preferred embodiment of a terminal device provided by the present application. The terminal device comprises a processor 701, a memory 702, and a computer program stored in the memory 702 and configured to be executed by the processor 701, and the processor 701 implements the steel structure member carbon emission calculation method described in any of the above embodiments when executing the computer program.

[0158] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, …), which are stored in the memory 702 and executed by the processor 701 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which 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), and can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor 701 can also be any conventional processor. The processor 701 is the control center of the terminal device, and connects various parts of the terminal device through 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, at least one application required by a 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, and can also be a non-volatile memory, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., or the memory 702 can also be other volatile solid-state storage devices.

[0161] It should be noted that the terminal device described above can include, but is not limited to, a processor, a memory, and the like, and those skilled in the art can understand that Figure 7 The structural diagram is only an example of the terminal device described above, and does not constitute a limitation on the terminal device, and can include more or fewer components than the diagram, or combine certain components, or different components.

[0162] The embodiment of the present application also provides a computer readable storage medium, which comprises a stored computer program, wherein the computer program controls a device where the computer readable storage medium is located to perform the steel structure member carbon emission calculation method described in any of the above embodiments when the computer program is running.

[0163] The embodiment of the present application also provides a computer program product, which comprises a computer program or computer instructions, and the computer program or the computer instructions are executed by a processor to realize the steel structure member carbon emission calculation method described in any of the above embodiments.

[0164] The embodiment of the present application provides a steel structure member carbon emission calculation method, device, equipment, medium and product, data monitoring and collection are performed on the prefabrication process of each steel structure member to obtain energy consumption data, material consumption data and environmental CO2 concentration dynamic change data of each steel structure member; greenhouse gas unorganized emission quantity is calculated according to the environmental CO2 concentration dynamic change data; carbon emission of a prefabrication process of each steel structure member and carbon emission of a workshop shared project are calculated according to the energy consumption data, the material consumption data and the greenhouse gas unorganized emission quantity; the carbon emission of the prefabrication process and the carbon emission of the workshop shared project are added to obtain carbon emission of the prefabrication process of each steel structure member. The embodiment of the present application considers all energy and material consumption, carbon emission of a workshop shared project and carbon emission caused by unorganized greenhouse gas emission due to the need of component prefabrication in the prefabrication stage of the steel component, so that the accuracy of steel structure component carbon emission calculation can be effectively improved.

[0165] It should be noted that the system embodiments described above are only schematic, wherein the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment. In addition, the connection relationship between the modules in the system embodiment provided by the present application indicates that there is a communication connection between them, which can be realized as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0166] The above is the preferred embodiment of the present application, it should be noted that for those skilled in the art, without departing from the principles of the present application, can also make several improvements and refinements, these improvements and refinements are also considered the scope of protection of the present application.

Claims

1. A method of calculating carbon emissions of a steel structural member, characterized by, The method comprises the following steps: monitoring and collecting data of each steel structure member during prefabrication to obtain energy consumption data, material consumption data, and dynamic CO2 concentration data of each steel structure member; wherein the dynamic CO2 concentration data is the dynamic CO2 concentration data in the operating room during the CO2 gas shielded welding process; fitting a CO2 concentration-time curve according to the dynamic CO2 concentration data to calculate the amount of greenhouse gas fugitive emission; calculating the carbon emissions of each prefabrication process of the steel structure member and the carbon emissions of the workshop shared project according to the energy consumption data, the material consumption data, and the amount of greenhouse gas fugitive emission; adding the carbon emissions of the prefabrication process and the carbon emissions of the workshop shared project to obtain the carbon emissions of the prefabrication process of each steel structure member; wherein fitting a CO2 concentration-time curve according to the dynamic CO2 concentration data to calculate the amount of greenhouse gas fugitive emission comprises: fitting a CO2 concentration-time curve according to the dynamic CO2 concentration data and determining the CO2 concentration peak value; determining the CO2 release start time and the CO2 decay end time according to the CO2 concentration-time curve and the CO2 concentration peak value; wherein the CO2 release period is from the CO2 release start time to the CO2 concentration peak value, and the CO2 decay period is from the CO2 concentration peak value to the CO2 decay end time; fitting the CO2 decay period of the CO2 concentration-time curve to calculate the CO2 loss rate of the operating room; wherein the CO2 loss rate is solved by the following first-order mass balance equation: where L represents the rate of CO2loss; C in represents the CO2concentration of air inside the operating room; C out represents the CO2concentration of air outside the operating room; t represents time; P represents the operating room penetration factor; A represents the operating room air exchange rate; V represents the mixing volume, i.e. the volume of the operating room; E represents the rate of CO2release inside the operating room, E = 0 during the CO2decay period; calculating the CO2 release rate of the CO2 gas shielded welding according to the CO2 release period of the CO2 concentration-time curve and the CO2 loss rate; wherein the CO2 release rate is solved by the following equation: In the formula, C in_O represents the concentration of air CO2 entering the operating room from outside the operating room; calculating the amount of greenhouse gas fugitive emission according to the CO2 release rate and the CO2 release time.

2. The steel structural member carbon emission calculation method according to claim 1, characterized by, The carbon emissions of the prefabrication process include the carbon emissions of the in-house prefabrication process and the carbon emissions of the outsourcing factory prefabrication process, and the carbon emissions of the workshop shared project include the carbon emissions of the in-house workshop shared project and the carbon emissions of the outsourcing factory workshop shared project.

3. The steel structural member carbon emission calculation method according to claim 2, characterized by, The calculation method of the carbon emissions of the prefabrication process is: determining at least one prefabrication process of the steel structure member and the corresponding functional unit of each prefabrication process; wherein the functional unit is a basic unit for calculating the carbon emissions of the corresponding prefabrication process; calculating the carbon emissions of the prefabrication process according to the number of functional units corresponding to each prefabrication process, energy consumption data, material consumption data, the amount of greenhouse gas fugitive emission, carbon emission factors, and the global warming potential value of greenhouse gas.

4. The steel structural member carbon emission calculation method according to claim 3, characterized by, The calculation method of the carbon emissions of the workshop shared project is: calculating the carbon emissions of the workshop shared project according to the energy consumption data, the material consumption data, the carbon emission factors, the weight of the steel structure member, and the total weight of the prefabricated member of the workshop corresponding to each shared project of the workshop.

5. The steel structural member carbon emission calculation method according to claim 4, characterized by, The method further comprises: The carbon emission of each steel structure member prefabrication process, the carbon emission of the prefabrication process, the carbon emission of the workshop shared project, and the process analysis list are stored in layers; wherein, the process analysis list includes each energy, material consumption, greenhouse gas fugitive emission amount, and corresponding carbon emission factor data.

6. A steel structural member carbon emission calculation device characterized by comprising: Comprise: A data acquisition module for monitoring and collecting data on the prefabrication process of each steel structure member to obtain energy consumption data, material consumption data, and environmental CO2 concentration dynamic change data for each steel structure member; wherein, the environmental CO2 concentration dynamic change data is the CO2 concentration dynamic change data in the operating room during the carbon dioxide gas shield welding process; An emission amount calculation module for fitting a CO2 concentration-time curve according to the environmental CO2 concentration dynamic change data and calculating the greenhouse gas fugitive emission amount; A sub-item carbon emission calculation module for calculating the carbon emission of each steel structure member prefabrication process and the carbon emission of the workshop shared project according to the energy consumption data, the material consumption data, and the greenhouse gas fugitive emission amount; A steel member carbon emission calculation module for adding the carbon emission of the prefabrication process and the carbon emission of the workshop shared project to obtain the carbon emission of each steel structure member prefabrication process; Wherein, the emission amount calculation module is specifically used for: Fitting a CO2 concentration-time curve according to the CO2 concentration dynamic change data and determining the CO2 concentration peak value; According to the CO2 concentration-time curve and the CO2 concentration peak value, determining the CO2 release start time and the decay end time; wherein, the CO2 release period is from the release start time to the CO2 concentration peak value time, and the CO2 decay period is from the CO2 concentration peak value time to the decay end time; Fitting the CO2 decay period of the CO2 concentration-time curve to calculate the CO2 loss rate of the operating room; wherein, the CO2 loss rate is solved by the following first-order mass balance equation: where L represents the rate of CO2loss; C in represents the CO2concentration of air inside the operating room; C out represents the CO2concentration of air outside the operating room; t represents time; P represents the operating room penetration factor; A represents the operating room air exchange rate; V represents the mixing volume, i.e., the volume of the operating room; and E represents the rate of CO2release inside the operating room, E = 0 during the CO2decay period. According to the CO2 release period of the CO2 concentration-time curve and the CO2 loss rate, calculating the CO2 release rate of the carbon dioxide gas shield welding; wherein, the CO2 release rate is solved by the following equation: In the formula, C in_O represents the concentration of air CO2 entering the operating room from outside the operating room; According to the CO2 release rate and the CO2 release time, calculating the greenhouse gas fugitive emission amount.

7. A terminal device, characterized by comprising: The computer readable storage medium stores a computer program, and the computer program is configured to be executed by the processor, and the processor implements the steel structure member carbon emission calculation method according to any one of claims 1 to 5 when executing the computer program.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is configured to be executed by the processor, and the processor implements the steel structure member carbon emission calculation method according to any one of claims 1 to 5 when executing the computer program.

9. A computer program product, characterised in that, The computer program product comprises computer programs or computer instructions which, when executed by a processor, implement the steel structural member carbon emission calculation method according to any one of claims 1 to 5.

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