High-strength steel welding process carbon emission metering method and system and computer equipment

Abstract

According to the high-strength steel welding procedure carbon emission metering method and system and the computer equipment, the method comprises the steps that a high-strength steel preheating and welding procedure link energy and material metering monitoring system is established, data association is established for monitoring data, and the monitoring data are bound with welding basic information according to timestamps; a high-strength steel preheating and welding process carbon emission characteristic database is constructed, the workload of a to-be-welded component is obtained, characteristic parameter matching is conducted from the preheating welding process characteristic parameter database, and corresponding material characteristic parameters are retrieved; and calling the model in the preheating welding process carbon emission calculation model library and the carbon emission factors in the carbon emission factor basic database, and calculating carbon emission data. The system comprises a component preheating and welding procedure link energy and material metering monitoring device module, a data acquisition and preprocessing module, a high-strength steel preheating and welding procedure carbon emission characteristic database module, a to-be-welded component welding workload analysis module and a database matching calling and carbon emission calculation module.

Description

Technical Field

[0001] This invention relates to the field of carbon emission measurement technology in the processing of building steel components, and particularly to a method, system and computer equipment for measuring carbon emissions in the welding process of high-strength steel. Background Technology

[0002] With the increasing urgency of addressing the global challenge of climate change, the construction industry, as a significant source of carbon emissions, urgently needs to conduct accurate carbon footprint accounting and emission reduction efforts. High-strength steel (hereinafter referred to as HSS) is widely used in important structures such as buildings, bridges, ships, and pressure vessels due to its excellent mechanical properties. However, compared with ordinary steel, the welding process of HSS is more complex. To prevent cold cracking and improve weld quality, strict preheating and heating during welding must be implemented, which significantly increases the consumption of energy and auxiliary materials, making the carbon emission problem of the welding process particularly prominent.

[0003] Currently, carbon metering for steel component processing mainly focuses on the macro-level of enterprises or energy consumption (such as total plant electricity and gas consumption). Carbon emission metering methods for welding processes often rely on macro-level empirical estimations or simple accumulation based on single energy types, lacking systematic monitoring and refined modeling of all sub-processes such as preheating, heating, gas shielded welding, carbon gouging, and submerged arc welding. Furthermore, these methods often fail to comprehensively cover multiple carbon emission sources involved in the welding process, including electricity, gas, welding shielding gas, and welding materials, and fail to dynamically correlate and calculate with welding process parameters (such as groove shape, base metal thickness, and welding speed). This results in insufficient accuracy in carbon emission accounting results, making it difficult to support low-carbon optimization and green manufacturing decisions in welding processes. Therefore, there is an urgent need to construct a precise carbon emission metering method and system that covers the entire high-strength steel welding process, enables real-time acquisition of multi-source data, and dynamically correlates welding process parameters, in order to achieve refined, standardized, and traceable management of carbon emissions during the welding process. Summary of the Invention

[0004] To address the problems of existing carbon emission measurement methods for high-strength steel welding, such as coarse calculation, insufficient accuracy, lack of welding process correlation making dynamic application difficult, weak data foundation, and poor reliability and traceability, the purpose of this invention is to provide a carbon emission measurement method, system, and computer equipment for high-strength steel welding processes.

[0005] The technical solution adopted by this invention to solve its technical problem is: a method for measuring carbon emissions in high-strength steel welding processes, comprising the following steps:

[0006] S1. Establish an energy and material metering and monitoring system for the preheating and welding processes of high-strength steel;

[0007] S2. For the preheating and welding process of high-strength steel, collect data from the energy and material metering monitoring system of the preheating and welding process of high-strength steel according to the set cycle, establish data association for the collected data, and bind it with the timestamp and basic welding information.

[0008] S3. Construct a carbon emission characteristic database for the preheating and welding processes of high-strength steel. The carbon emission characteristic database for the preheating and welding processes of high-strength steel includes a basic database of carbon emission factors, a database of characteristic parameters of the preheating and welding process, and a carbon emission calculation model library for the preheating and welding process. The carbon emission calculation model library for the preheating and welding process includes carbon emission models for preheating or heating processes before welding, carbon emission models for gas shielded welding root pass, carbon gouging and cleaning processes, carbon emission models for submerged arc welding processes, total carbon emission models for processes, and total carbon emission intensity models.

[0009] S4. Based on the component assembly and welding design document, obtain the parameter information of the component to be welded, parse the component assembly and welding design document, automatically identify or manually input the weld parameter information, and calculate the welding workload.

[0010] S5. Based on the welding workload obtained from step S4, and considering the preheating and heating during welding of steel components, gas shielded welding, carbon gouging and cleaning, and submerged arc welding processes, input the parameter information of the component to be welded, perform feature parameter matching from the preheating welding process feature parameter database described in step S3, retrieve the corresponding material feature parameters, call up the model in the carbon emission calculation model library of the preheating welding process described in step S3, and the carbon emission factor in the carbon emission factor basic database, calculate and output carbon emission data.

[0011] The carbon emission measurement method for high-strength steel welding processes of this invention constructs a real-time data monitoring network covering the entire high-strength steel welding process, integrates a characteristic parameter database of multi-source process parameters, and a refined carbon emission calculation model library. Based on the component assembly welding design file, it automatically analyzes the workload of the components to be welded and matches process characteristic parameters, achieving carbon emission calculations and outputs for each process, material, and energy source, as well as various strength indicators. This provides a reliable quantitative tool and decision-making basis for low-carbon optimization, green manufacturing management, and accurate carbon footprint certification of high-strength steel welding processes. It is particularly suitable for refined carbon emission measurement and accounting in multi-process welding of high-strength steel components. Compared with existing technologies, it has the following significant advantages:

[0012] 1. By constructing a real-time data monitoring network covering the entire process of preheating, gas shielded welding, carbon gouging, and submerged arc welding, systematic monitoring of the main carbon emission sources of welding sub-processes has been achieved. This solves the problems of incomplete accounting scope and neglect of key material consumption in existing metering methods, and improves the comprehensiveness and accuracy of carbon emission metering.

[0013] 2. By establishing a carbon emission characteristic database for the preheating and welding processes of high-strength steel, the core input parameters for carbon emission calculation are dynamically correlated with design process parameters such as base material grade and thickness, bevel type and size. Based on the component assembly welding design file, the workload of the component to be welded is automatically analyzed and the corresponding process parameters are matched. This enables accurate prediction of carbon emissions for specific components and specific welds before the start of welding operations, providing a quantitative tool for low-carbon process selection and carbon budgeting in the manufacturing stage. This solves the shortcomings of existing measurement methods that cannot achieve dynamic application and forward-looking analysis.

[0014] 3. By constructing a refined carbon emission calculation model library for each process and energy / material, it can output multi-dimensional indicators such as total carbon emissions of the process, carbon emissions of each process, carbon emissions of each item, and carbon emission intensity per unit weld workload, accurately locating high-carbon emission links and providing unprecedented precision support for process optimization and emission reduction decisions.

[0015] 4. Through system integration, the entire process from automatic data collection, preprocessing, database matching to model calculation has been automated, which significantly reduces the manpower and time costs of carbon emission accounting, ensures the efficiency, reliability and repeatability of the calculation process, and makes it possible to carry out carbon emission measurement of welding processes on a large scale and on a regular basis.

[0016] Furthermore, the energy and material metering monitoring system for the high-strength steel preheating and welding process in step S1 is used to monitor at least the following equipment and parameters: preheating equipment involved in the preheating sub-process, gas shielded welding machine equipment involved in the gas shielded welding root-laying sub-process, carbon arc gouging equipment involved in the carbon gouging root-cleaning sub-process, submerged arc welding machine equipment involved in the submerged arc welding sub-process, heating equipment involved in the welding process, general process parameters, and basic welding information; wherein, power consumption is obtained by installing smart meters; gas consumption, oxygen consumption, welding shielding gas, and compressed air consumption are obtained by installing gas mass flow meters; equipment status and process parameters are collected through the welding system or industrial Internet of Things platform; and basic welding information is obtained through the production management system or manually recorded.

[0017] Furthermore, in step S3, the basic database of carbon emission factors includes carbon emission factors for electricity, gas, oxygen, compressed air, welding shielding gas, welding wire, flux, and carbon rods; the carbon emission factors for electricity support dynamic updates according to region and time; the carbon emission factors for gas include at least carbon emission factors for propane, acetylene, and natural gas; and the carbon emission factors for welding shielding gas include at least carbon emission factors for carbon dioxide gas or a mixture of carbon dioxide and argon.

[0018] Furthermore, in step S3, the preheating welding process characteristic parameter database includes at least the base material grade and thickness, bevel type and size, weld length, carbon gouging length, weld cross-sectional area, weld leg size, and welding material type fields of the component to be welded, and is associated with at least the following process characteristic parameters: preheating speed, welding speed, carbon gouging speed, welding current and voltage, carbon gouging current and voltage, gas flow rate in the preheating process, oxygen flow rate in the preheating process, gas flow rate during welding, electric power in the preheating process, electric power in the heating process during welding, welding shielding gas flow rate in the welding process, and compressed air flow rate in the carbon gouging process.

[0019] Furthermore, in step S3, the carbon emission model for the preheating before welding or the heating process during welding is as follows:

[0020]

[0021] Among them, CE pre Carbon emissions from preheating or heating processes during welding, expressed in kgCO2e;

[0022] ρ i Density of gases such as fuel gas and oxygen consumed during preheating or heating before welding, in kg / m³ 3 ;

[0023] Q i,pre The gas flow rate consumed during preheating or heating before welding, in m 3 / h;

[0024] EF i The carbon emission factor corresponding to the gas consumed during preheating or heating before welding, kgCO2e / kg;

[0025] P pre The power of preheating before welding or electric heating during welding, in kW;

[0026] T pre The time for preheating before welding or heating during welding, in hours;

[0027] EF ele The carbon emission factor for electricity is kgCO2e / kWh;

[0028] The carbon emission model for the gas shielded welding root pass is as follows:

[0029] CE mag =ρ mag Q mag T mag ×EF mag +M wir ×EF wir +P mag T mag ×EF ele

[0030] Among them, CE mag Carbon emissions for the gas shielded welding root pass process, kgCO2e;

[0031] ρ mag The density of the shielding gas used in gas shielded welding is expressed in kg / m³. 3 ;

[0032] Q mag The flow rate of the shielding gas for gas shielded welding is m. 3 / h;

[0033] EF mag The carbon emission factor corresponding to the shielding gas used in gas shielded welding is kgCO2e / kg;

[0034] M wir The figure represents the amount of welding wire consumed, in kg.

[0035] EF wir The carbon emission factor of welding wire is kgCO2e / kg;

[0036] P mag The power of the gas shielded welding machine is expressed in kW.

[0037] T mag The welding time for gas shielded welding is in hours (h).

[0038] The carbon emission model for the carbon-shaving root cleaning process is as follows:

[0039] CE cag =ρ air Q air T air ×EF air +M car ×EF car +P cag T cag ×EF ele

[0040] Among them, CE cag Carbon emissions from the carbon-shaving and root-cleaning process, expressed as kgCO2e;

[0041] ρ air The density of compressed air is kg / m³ 3 ;

[0042] Q air For compressed air flow rate, m 3 / h;

[0043] T air The operating time for compressed air is in hours (h).

[0044] EF airThe carbon emission factor for compressed air is kgCO2e / kg;

[0045] M car Carbon rod consumption, in kg;

[0046] EF car Carbon emission factor for carbon rods, kgCO2e / kg;

[0047] P cag The power of the carbon planer is expressed in kW.

[0048] T cag The time for carbonized root cleaning is in hours (h).

[0049] The carbon emission model for submerged arc welding is as follows:

[0050] CE saw =M wir ×EF wir +M flu ×EF flu +P saw T saw ×EF ele

[0051] Among them, CE saw Carbon emissions from submerged arc welding process, kgCO2e;

[0052] M wir The figure represents the amount of welding wire consumed, in kg.

[0053] EF wir The carbon emission factor of welding wire is kgCO2e / kg;

[0054] M flu Flux consumption, in kg;

[0055] EF flu The flux carbon emission factor is expressed as kgCO2e / kg.

[0056] P saw The power of the submerged arc welding machine is expressed in kW.

[0057] T saw The welding time for submerged arc welding is in hours (h).

[0058] The total carbon emission model for the preheating welding process is as follows:

[0059] CE total =CE pre +CE mag +CE cag +CE saw

[0060] Among them, CE totalThe total carbon emissions for the preheating welding process are expressed in kgCO2e.

[0061] The total carbon intensity model is as follows:

[0062]

[0063] or,

[0064]

[0065] V gro =A gro L wel

[0066] or,

[0067]

[0068] Among them, CE L,unit Carbon emissions per unit weld length, kgCO2e / m;

[0069] L wel Let the weld length be in meters (m).

[0070] CE V,unit Carbon emissions per unit weld volume, kgCO2e / m³ 3 ;

[0071] V gro For the volume of the weld bevel, m 3 ;

[0072] A gro The cross-sectional area of ​​the weld bevel is in meters. 2 ;

[0073] CE M,unit Carbon emissions per unit weld mass, kgCO2e / kg;

[0074] M wir The weight of the welding wire for the weld is in kg.

[0075] Furthermore, the carbon emission model per unit weld mass (CE) in the total carbon emission intensity model... M,unit M quality of welding wire for intermediate weld seam wir The following formula enables online automatic prediction and statistics:

[0076] M wir =α0+α1A gro +α2δ steel +α3E wel +α4υ wel +α5Q mag +α6L wel +α7K gro

[0077] Among them, A gro The cross-sectional area of ​​the weld bevel is in meters. 2 ;

[0078] δ steel The thickness of the base material is in meters (m).

[0079] E wel For welding power consumption, kWh;

[0080] υ wel The welding speed is expressed in m / s.

[0081] Q mag m represents the consumption of welding shielding gas. 3 ;

[0082] L wel Let the weld length be in meters (m).

[0083] K gro This refers to the bevel type coefficient;

[0084] α0 to α7 are the model fitting coefficients.

[0085] Furthermore, the carbon emission model per unit weld length (CE) in the total carbon emission intensity model... L,unit Calculated online using the following formula:

[0086] CE L,unit =β0+β1A gro +β2δ steel +β3P wel +β4v wel +β5Q mag，wel +β6K gro +β7K mat

[0087] Among them, P wel Welding power, in kW;

[0088] Q mag,wel For the welding shielding gas flow rate, m 3 / h;

[0089] K gro This refers to the bevel type coefficient;

[0090] K mat This refers to the base material grade coefficient;

[0091] β0 to β7 are the model fitting coefficients.

[0092] In addition, the present invention also provides a carbon emission metering system for high-strength steel welding process, which includes an energy and material metering and monitoring device module for component preheating and welding process, a data acquisition and preprocessing module, a carbon emission characteristic database module for high-strength steel preheating and welding process, a welding workload analysis module for the component to be welded, and a database matching and carbon emission calculation module.

[0093] The energy and material metering monitoring device module for the preheating and welding process of the components uses a monitoring sensor system to monitor the power consumption, gas consumption, oxygen consumption, welding shielding gas consumption, compressed air consumption, welding material consumption, equipment status, process parameters, and basic welding information of the preheating and welding process of the steel components, and transmits the monitoring data to the data acquisition and preprocessing module.

[0094] The data acquisition and preprocessing module acquires the monitoring data from the energy and material metering monitoring device module of the component preheating and welding process, preprocesses the monitoring data, establishes data association and binds it with the basic information of steel component welding, and transmits the acquired monitoring data to the carbon emission characteristic database module of the high-strength steel preheating and welding process.

[0095] The carbon emission characteristic database module for the high-strength steel preheating and welding process includes a carbon emission factor basic database submodule, a high-strength steel preheating and welding process characteristic parameter database submodule, and a preheating and welding process carbon emission calculation model library submodule. The carbon emission factor basic database submodule stores carbon emission factors of energy and materials and dynamically updates them. The high-strength steel preheating and welding process characteristic parameter database submodule stores fields such as base material grade and thickness, bevel type and size, weld length, carbon gouging length, weld cross-sectional area, weld leg size, and welding material type, and stores key process characteristic parameters of the preheating and welding process and performs parameter correlation. The preheating and welding process carbon emission calculation model library submodule stores the calculation methods and processes for carbon emissions during the preheating and welding process.

[0096] The welding workload analysis module for the component to be welded obtains the base material grade and thickness of the component to be welded based on the component assembly welding design file, analyzes the component assembly welding design file, automatically identifies or manually inputs weld parameter information, calculates the welding workload data, and transmits the analyzed data to the carbon emission characteristic database module for high-strength steel preheating and welding processes.

[0097] The database matching and carbon emission calculation module matches the characteristic parameters of the high-strength steel preheating welding process characteristic parameter database submodule with the welding workload data provided by the welding workload analysis module of the component to be welded, retrieves the corresponding key parameters, calls the carbon emission factors of the carbon emission factor basic database submodule and the model of the preheating welding process carbon emission calculation model library submodule, and calculates and outputs carbon emission data.

[0098] The carbon emission metering system for high-strength steel welding processes of the present invention includes an energy and material metering monitoring device module for the preheating and welding processes of steel components, a data acquisition and preprocessing module, a carbon emission characteristic database module for the preheating and welding processes of high-strength steel, a welding workload analysis module for the components to be welded, and a database matching and carbon emission calculation module. The energy and material metering monitoring device module for the preheating and welding processes of steel components monitors the data during the preheating and welding processes and transmits the monitoring data to the data acquisition and preprocessing module. The data acquisition and preprocessing module collects the monitoring data, performs preprocessing, establishes data associations and binds them to the basic welding information of the steel components, and transmits the acquired monitoring data to the carbon emission characteristic database module for the preheating and welding processes of high-strength steel. The database module includes a carbon emission factor basic database submodule, a high-strength steel preheating welding process characteristic parameter database submodule, and a preheating welding process carbon emission calculation model library submodule. The welding workload analysis module for the component to be welded acquires information about the component to be welded and weld parameters, compiles welding workload data, and transmits the analyzed data to the high-strength steel preheating and welding process carbon emission characteristic database module. The database matching and carbon emission calculation module matches the data provided by the welding workload analysis module with the high-strength steel preheating welding process characteristic parameter database submodule, retrieves corresponding key parameters, calls the carbon emission factors from the carbon emission factor basic database submodule, and the models from the preheating welding process carbon emission calculation model library submodule to calculate and output carbon emission data. Compared with existing technologies, it has the following significant advantages:

[0099] 1. By constructing a real-time data monitoring network covering the entire process of preheating, gas shielded welding, carbon gouging, and submerged arc welding, systematic monitoring of the main carbon emission sources of welding sub-processes has been achieved. This solves the problems of incomplete accounting scope and neglect of key material consumption in existing metering methods, and improves the comprehensiveness and accuracy of carbon emission metering.

[0100] 2. By establishing a carbon emission characteristic database for the preheating and welding processes of high-strength steel, the core input parameters for carbon emission calculation are dynamically correlated with design process parameters such as base material grade and thickness, bevel type and size. Based on the component assembly welding design file, the workload of the component to be welded is automatically analyzed and the corresponding process parameters are matched. This enables accurate prediction of carbon emissions for specific components and specific welds before the start of welding operations, providing a quantitative tool for low-carbon process selection and carbon budgeting in the manufacturing stage. This solves the shortcomings of existing measurement methods that cannot achieve dynamic application and forward-looking analysis.

[0101] 3. By constructing a refined carbon emission calculation model library for each process and energy / material, it can output multi-dimensional indicators such as total carbon emissions of the process, carbon emissions of each process, carbon emissions of each item, and carbon emission intensity per unit weld workload, accurately locating high-carbon emission links and providing unprecedented precision support for process optimization and emission reduction decisions.

[0102] 4. Through system integration, the entire process from automatic data collection, preprocessing, database matching to model calculation has been automated, which significantly reduces the manpower and time costs of carbon emission accounting, ensures the efficiency, reliability and repeatability of the calculation process, and makes it possible to carry out carbon emission measurement of welding processes on a large scale and on a regular basis.

[0103] The present invention also provides a computer device, which includes at least a processor and a memory. The computer program and database are stored in the memory and can run on the processor. When the processor executes the computer program, it implements the corresponding steps of the carbon emission measurement method for the high-strength steel welding process, or the functions of each module of the carbon emission measurement system for the high-strength steel welding process. The memory is an internal storage unit and / or an external storage device of the computer device.

[0104] The present invention also provides a computer-readable storage medium storing a computer program and a database. A processor loads and executes the instructions stored in the computer-readable storage medium to implement the corresponding steps of the carbon emission measurement method for the high-strength steel welding process, or the functions of each module of the carbon emission measurement system for the high-strength steel welding process. Attached Figure Description

[0105] Figure 1 This is a flowchart of an embodiment of the carbon emission measurement method for high-strength steel welding process of the present invention;

[0106] Figure 2 This is a schematic diagram of an embodiment of the carbon emission metering system for high-strength steel welding process of the present invention;

[0107] Figure 3 This is a schematic diagram of a computer device according to an embodiment of the present invention;

[0108] Figure 4 This is a cross-sectional view of the bevel of a high-strength steel BH component in one embodiment of the present invention;

[0109] Figure 5 This is a schematic diagram illustrating the carbon emission composition of the welding sub-process of a high-strength steel BH component in one embodiment of the present invention. Detailed Implementation

[0110] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the drawings are all in a very simplified form and use non-precise proportions, and are only used to facilitate and clarify the purpose of illustrating the embodiments of the present invention.

[0111] Combination Figure 1 The carbon emission measurement method for high-strength steel welding process of the present invention is described in the following specific steps:

[0112] S1. Establish an energy and material metering monitoring system for the preheating and welding processes of high-strength steel, and construct a real-time data monitoring network covering the entire process of preheating, gas shielded welding, carbon gouging, and submerged arc welding.

[0113] S2. Data Acquisition and Preprocessing: For the preheating and welding process of high-strength steel, data information from the energy and material metering monitoring system of the preheating and welding process of high-strength steel is collected according to the set cycle. Data association is established for the collected data and bound to the timestamp and basic welding information.

[0114] S3. Construct a carbon emission characteristic database for the preheating and welding processes of high-strength steel. The carbon emission characteristic database for the preheating and welding processes of high-strength steel includes a basic database of carbon emission factors, a database of characteristic parameters of the preheating and welding process, and a carbon emission calculation model library for the preheating and welding process. The carbon emission calculation model library for the preheating and welding process mainly includes carbon emission models for preheating or heating processes before welding, carbon emission models for gas shielded welding root pass, carbon gouging and cleaning processes, carbon emission models for submerged arc welding processes, total carbon emission models for processes, and total carbon emission intensity models.

[0115] S4. Obtain the workload of the components to be welded based on the component assembly and welding design documents: Based on the component assembly and welding design documents (such as CAD drawings, BOM, etc.), obtain the base material grade and thickness of the components to be welded, parse the component assembly and welding design documents, automatically identify or manually input weld parameters such as groove type and size, and calculate the total length of various welds, weld volume, weld wire quality, etc., and other workload of the components to be welded.

[0116] S5. Database Matching and Carbon Emission Calculation: Based on the workload of the components to be welded obtained from step S4, and considering processes such as preheating and heating during welding, gas shielded welding, carbon gouging, and submerged arc welding, input parameters such as the base material grade and thickness, bevel type and size, weld length, carbon gouging length, weld cross-sectional area, and welding material type of the components to be welded. Perform feature parameter matching from the preheating welding process feature parameter database described in step S3, retrieve the corresponding material feature parameters, and call up the models in the carbon emission calculation model library of the preheating welding process in step S3 and the carbon emission factors in the carbon emission factor basic database to calculate and output carbon emission data.

[0117] The carbon emission measurement method for high-strength steel welding processes of this invention first constructs a real-time data monitoring network covering the entire high-strength steel welding process, a characteristic parameter database integrating multi-source process parameters, and a refined carbon emission calculation model library. Based on the component assembly welding design file, it automatically analyzes the workload of the component to be welded and matches process characteristic parameters to achieve carbon emission calculation and output by process, material, and energy, as well as various strength indicators. This provides a reliable quantitative tool and decision-making basis for low-carbon optimization, green manufacturing management, and accurate carbon footprint certification of high-strength steel welding processes. It is particularly suitable for refined carbon emission measurement and accounting in multi-process welding of high-strength steel components. Compared with existing technologies, it has the following significant advantages:

[0118] 1. By constructing a real-time data monitoring network covering the entire process of preheating, gas shielded welding, carbon gouging, and submerged arc welding, systematic monitoring of the main carbon emission sources of welding sub-processes has been achieved. This solves the problems of incomplete accounting scope and neglect of key material consumption in existing metering methods, and improves the comprehensiveness and accuracy of carbon emission metering.

[0119] 2. By establishing a carbon emission characteristic database for the preheating and welding processes of high-strength steel, the core input parameters for carbon emission calculation are dynamically correlated with design process parameters such as base material grade and thickness, bevel type and size. Based on the component assembly welding design file, the workload of the component to be welded is automatically analyzed and the corresponding process parameters are matched. This enables accurate prediction of carbon emissions for specific components and specific welds before the start of welding operations, providing a quantitative tool for low-carbon process selection and carbon budgeting in the manufacturing stage. This solves the shortcomings of existing measurement methods that cannot achieve dynamic application and forward-looking analysis.

[0120] 3. By constructing a refined carbon emission calculation model library for each process and energy / material, it can output multi-dimensional indicators such as total carbon emissions of the process, carbon emissions of each process, carbon emissions of each item, and carbon emission intensity per unit weld workload, accurately locating high-carbon emission links and providing unprecedented precision support for process optimization and emission reduction decisions.

[0121] 4. Through system integration, the entire process from automatic data collection, preprocessing, database matching to model calculation has been automated, which significantly reduces the manpower and time costs of carbon emission accounting, ensures the efficiency, reliability and repeatability of the calculation process, and makes it possible to carry out carbon emission measurement of welding processes on a large scale and on a regular basis.

[0122] The energy and material metering monitoring system in step S1, specifically for the high-strength steel preheating and welding process, is used to monitor:

[0123] 1. Preheating equipment involved in the preheating sub-process: electrical energy consumption generated by electric heating or gas consumption, oxygen consumption and preheating time generated by flame preheating;

[0124] 2. Gas shielded welding equipment involved in the gas shielded welding foundation process: consumption of welding shielding gas (carbon dioxide gas or a mixture of carbon dioxide and argon), consumption of welding wire, power consumption, and welding time;

[0125] 3. Carbon arc gouging equipment involved in the carbon gouging and root cleaning process: carbon rod consumption, compressed air consumption, power consumption, and carbon gouging time;

[0126] 4. Submerged arc welding equipment involved in the submerged arc welding process: power consumption, welding wire consumption, and flux consumption;

[0127] 5. Heating equipment involved in the welding process: electrical energy consumption generated by electric heating or gas consumption, oxygen consumption, and heating time generated by flame preheating;

[0128] 6. General parameters: process parameters such as welding current, voltage, and speed;

[0129] 7. Basic welding information: including but not limited to the base material grade and thickness of the component to be welded, the type and size of the groove (such as the angle, blunt edge, and gap of K-type, V-type, and X-type grooves), the weld length, the weld leg size, and the welding material type (welding wire, flux, and welding shielding gas ratio), etc.

[0130] The monitoring parameters of the energy and material metering monitoring system for the high-strength steel preheating and welding process are obtained through the following monitoring methods: electricity consumption is obtained by installing smart meters; gas consumption, oxygen consumption, welding shielding gas, and compressed air consumption are obtained by installing gas mass flow meters; equipment status and process parameters are collected through the welding system OPC interface or industrial IoT platform; and basic welding information is obtained through the production management system or manually recorded.

[0131] In step S2, the data information collected by the energy and material metering monitoring system for the high-strength steel preheating and welding process specifically includes: timestamp, equipment status, instantaneous power (kW) / cumulative energy (kWh), welding current, voltage, speed, and instantaneous gas flow rate (L / min) / cumulative flow rate (m³). 3 ), Instantaneous oxygen flow rate (L / min) / Cumulative flow rate (m³) 3 ), Instantaneous flow rate of compressed air (L / min) / Cumulative flow rate (m³) 3 ), Instantaneous flow rate of welding shielding gas (L / min) / Cumulative flow rate (m³) 3 ), Preheating time (min), carbon planing time (min), welding time (min), carbon rod consumption (kg), welding wire consumption (kg), flux consumption (kg).

[0132] In step S3, the basic database of carbon emission factors mainly includes carbon emission factors for electricity, gas, oxygen, compressed air, welding shielding gases, welding wire, flux, and carbon rods. The carbon emission factors for electricity support dynamic updates based on region and time; the carbon emission factors for gas mainly include those for propane, acetylene, and natural gas; and the carbon emission factors for welding shielding gases mainly include those for carbon dioxide or a mixture of carbon dioxide and argon.

[0133] In step S3, the preheating welding process characteristic parameter database mainly includes fields such as the base material grade and thickness of the component to be welded, the groove type and size (e.g., the angle, blunt edge, and gap of K-type, V-type, and X-type grooves), weld length, carbon gouging length, weld cross-sectional area, weld leg size, and welding material type (welding wire, flux, and welding shielding gas ratio). The preheating welding process characteristic parameter database includes the following key parameters:

[0134] 1. Preheating speed: This parameter is related to parameters such as base material grade and thickness, bevel type and size;

[0135] 2. Welding speed: This parameter is related to the base material grade and thickness, groove type and size, welding material type (welding wire, flux, welding shielding gas ratio), equipment model, and other parameters.

[0136] 3. Carbon planing speed: This parameter is related to parameters such as base material grade and thickness, bevel type and size, carbon planing length, and equipment model;

[0137] 4. Welding current and voltage: This parameter is related to the base material grade and thickness, groove type and size, welding material type (welding wire, flux, welding shielding gas ratio), etc.

[0138] 5. Carbon planer current and voltage: This parameter is related to the base material grade and thickness, bevel type and size, etc.

[0139] 6. Gas flow rate during preheating: This parameter is related to parameters such as preheating method and preheating speed;

[0140] 7. Oxygen flow rate during the preheating process; this parameter is related to parameters such as preheating method and preheating rate;

[0141] 8. Gas flow rate during welding: This parameter is related to parameters such as heating method and preheating rate;

[0142] 9. Electrical power of preheating process before welding: This parameter is related to parameters such as preheating method and equipment model;

[0143] 10. Electrical power during the heating process in welding: This parameter is related to parameters such as preheating method and equipment model;

[0144] 11. Welding process shielding gas flow rate: This parameter is related to parameters such as welding method, type of welding shielding gas, and welding speed;

[0145] 12. Compressed air flow rate in the carbon planing process: This parameter is related to parameters such as carbon planing method, carbon planing speed, and equipment model.

[0146] In step S3, the carbon emission calculation model library for the preheating welding process mainly includes the following models;

[0147] I. The carbon emission model for preheating or heating during welding is as follows:

[0148]

[0149] Among them, CE pre Carbon emissions from preheating or heating processes during welding, expressed in kgCO2e;

[0150] ρ i Density of gases such as fuel gas and oxygen consumed during preheating or heating before welding, in kg / m³ 3 Q i,pre The gas flow rate consumed during preheating or heating before welding, in m 3 / h;

[0151] EF i The carbon emission factor corresponding to the gas consumed during preheating or heating before welding, kgCO2e / kg;

[0152] P pre The power of preheating before welding or electric heating during welding, in kW;

[0153] T pre The time for preheating before welding or heating during welding, in hours;

[0154] EF ele The carbon emission factor for electricity is kgCO2e / kWh;

[0155] II. The carbon emission model for the gas shielded welding root pass process is as follows:

[0156] CE mag =ρ mag Q mag T mag ×EF mag +M wir ×EF wir +P mag T mag ×EF ele

[0157] Among them, CE mag Carbon emissions for the gas shielded welding root pass process, kgCO2e;

[0158] ρ mag The density of the shielding gas used in gas shielded welding is expressed in kg / m³. 3 ;

[0159] Q mag The flow rate of the shielding gas for gas shielded welding is m. 3 / h;

[0160] EF mag The carbon emission factor corresponding to the shielding gas used in gas shielded welding is kgCO2e / kg;

[0161] M wir The figure represents the amount of welding wire consumed, in kg.

[0162] EF wir The carbon emission factor of welding wire is kgCO2e / kg;

[0163] P mag The power of the gas shielded welding machine is expressed in kW.

[0164] T mag The welding time for gas shielded welding is in hours (h).

[0165] III. The carbon emission model for the carbon-stripping and root cleaning process is as follows:

[0166] CE cag =ρ air Q air T air ×EF air +M car ×EF car +P cag T cag ×EF ele

[0167] Among them, CE cag Carbon emissions from the carbon-shaving and root-cleaning process, expressed as kgCO2e;

[0168] ρ air The density of compressed air is kg / m³ 3 ;

[0169] Q air For compressed air flow rate, m 3 / h;

[0170] T air The operating time for compressed air is in hours (h).

[0171] EF airThe carbon emission factor for compressed air is kgCO2e / kg;

[0172] M car Carbon rod consumption, in kg;

[0173] EF car Carbon emission factor for carbon rods, kgCO2e / kg;

[0174] P cag The power of the carbon planer is expressed in kW.

[0175] T cag The time for carbonized root cleaning is in hours (h).

[0176] IV. The carbon emission model for the submerged arc welding process is as follows:

[0177] CE saw =M wir ×EF wir +M flu ×EF flu +P saw T saw ×EF ele

[0178] Among them, CE saw Carbon emissions from submerged arc welding process, kgCO2e;

[0179] M wir The figure represents the amount of welding wire consumed, in kg.

[0180] EF wir The carbon emission factor of welding wire is kgCO2e / kg;

[0181] M flu Flux consumption, in kg;

[0182] EF flu The flux carbon emission factor is expressed as kgCO2e / kg.

[0183] P saw The power of the submerged arc welding machine is expressed in kW.

[0184] T saw The welding time for submerged arc welding is in hours (h).

[0185] V. The total carbon emission model for the preheating welding process is as follows:

[0186] CE total =CE pre +CE mag +CE cag +CE saw

[0187] Among them, CE totalThe total carbon emissions for the preheating welding process are expressed in kgCO2e.

[0188] VI. The total carbon emission intensity model is as follows:

[0189]

[0190] or,

[0191]

[0192] V gro =A gro L wel

[0193] or,

[0194]

[0195] Among them, CE L,unit Carbon emissions per unit weld length, kgCO2e / m;

[0196] L wel Let the weld length be in meters (m).

[0197] CE V,unit Carbon emissions per unit weld volume, kgCO2e / m³ 3 ;

[0198] V gro For the volume of the weld bevel, m 3 ;

[0199] A gro The cross-sectional area of ​​the weld bevel is in meters. 2 ;

[0200] CE M,unit Carbon emissions per unit weld mass, kgCO2e / kg;

[0201] M wir The weight of the welding wire for the weld is in kg.

[0202] In step S5, the material characteristic parameters of high-strength steel include at least: preheating speed, welding speed, carbon gouging speed, gas flow rate during preheating, oxygen flow rate during preheating, gas flow rate during welding, electrical power during preheating, electrical power during heating, welding shielding gas flow rate, compressed air flow rate during carbon gouging, preheating time, carbon gouging time, welding time, carbon rod consumption, welding wire consumption, and flux consumption. The calculated and output carbon emission data include:

[0203] 1. Carbon emission intensity: carbon emission per unit weld length, carbon emission per unit weld volume, carbon emission per unit weld mass;

[0204] 2. Calculate the total carbon emissions of the process based on carbon emission intensity;

[0205] 3. Component carbon emissions: preheating gas, preheating oxygen, welding shielding gas, welding wire, flux, carbon rod, electricity, etc.

[0206] In step S3, the carbon emission model per unit weld mass (CE) in the total carbon emission intensity model M,unit M quality of welding wire for intermediate weld seam wir Online automatic prediction and statistics can be achieved using the following formula:

[0207] M wir =α0+α1A gro +α2δ steel +α3E wel +α4v wel +α5Q mag +α6L wel +α7K gro

[0208] Among them, A gro The cross-sectional area of ​​the weld bevel is in meters. 2 ;

[0209] δ steel The thickness of the base material is in meters (m).

[0210] E wel For welding power consumption, kWh;

[0211] υ wel The welding speed is expressed in m / s.

[0212] Q mag m represents the consumption of welding shielding gas. 3 ;

[0213] L wel Let the weld length be in meters (m).

[0214] K gro The bevel type coefficient is a characteristic value that quantifies different bevel types (such as K-type, V-type, X-type bevels, etc.). It can be assigned by expert experience or previous experiments.

[0215] α0 to α7 are the model fitting coefficients.

[0216] In step S3, the carbon emission model per unit weld length (CE) in the total carbon emission intensity model L,unit Online rapid prediction calculation can be achieved using the following formula:

[0217] CE L,unit =β0+β1A gro +β2δ steel +β3Pwel +β4v wel +β5Q mag，wel +β6K gro +β7K mat

[0218] Among them, P wel Welding power, in kW;

[0219] Q mag,wel For the welding shielding gas flow rate, m 3 / h;

[0220] K gro The bevel type coefficient is a characteristic value that quantifies different bevel types (such as K-type, V-type, X-type bevels, etc.). It can be assigned by expert experience or previous experiments.

[0221] K mat The base material grade coefficient is a characteristic value that quantifies different grades of steel (such as Q420, Q460, Q550, Q690, etc.). It can be assigned based on its carbon equivalent and strength grade through expert experience or previous experiments.

[0222] β0 to β7 are the model fitting coefficients.

[0223] Combination Figure 2 The carbon emission metering system for high-strength steel welding process of the present invention includes an energy and material metering and monitoring device module for component preheating and welding processes, a data acquisition and preprocessing module, a carbon emission characteristic database module for high-strength steel preheating and welding processes, a welding workload analysis module for components to be welded, and a database matching and carbon emission calculation module.

[0224] The energy and material metering monitoring device module for the preheating and welding process of the components uses a monitoring sensor system to monitor the power consumption, gas consumption, oxygen consumption, welding shielding gas consumption, compressed air consumption, welding material consumption (welding wire, flux, carbon rod, etc.), equipment status, process parameters, and basic welding information of the preheating and welding process of the steel components, and transmits the monitoring data to the data acquisition and preprocessing module.

[0225] The data acquisition and preprocessing module acquires the monitoring data from the energy and material metering monitoring device module of the component preheating and welding process, preprocesses the monitoring data, establishes data association and binds it with the basic information of steel component welding, and transmits the acquired monitoring data to the carbon emission characteristic database module of the high-strength steel preheating and welding process.

[0226] The carbon emission characteristic database module for the high-strength steel preheating and welding process specifically includes a carbon emission factor basic database submodule, a high-strength steel preheating and welding process characteristic parameter database submodule, and a preheating and welding process carbon emission calculation model library submodule. The carbon emission factor basic database submodule stores carbon emission factors of energy and materials and dynamically updates them. The high-strength steel preheating and welding process characteristic parameter database submodule stores fields such as base material grade and thickness, bevel type and size, weld length, carbon gouging length, weld cross-sectional area, weld leg size, and welding material type, and stores key process characteristic parameters of the preheating and welding process and performs parameter correlation. The preheating and welding process carbon emission calculation model library submodule stores the calculation methods and processes for carbon emissions during the preheating and welding process.

[0227] The welding workload analysis module for the component to be welded obtains the base material grade and thickness of the component to be welded based on the component assembly welding design document, analyzes the component assembly welding design document, automatically identifies or manually inputs weld parameter information such as groove type and size, and statistically calculates welding workload data such as total weld length, weld volume, and weld wire quality, and transmits the analyzed data to the carbon emission characteristic database module for high-strength steel preheating and welding process.

[0228] The database matching and carbon emission calculation module matches the base material grade, thickness, bevel type and size data provided by the welding workload analysis module of the component to be welded with the feature parameter database submodule of the high-strength steel preheating welding process, retrieves the corresponding key parameters, calls the carbon emission factor of the carbon emission factor basic database submodule and the model of the carbon emission calculation model library submodule of the preheating welding process, and calculates and outputs carbon emission data.

[0229] The carbon emission metering system for high-strength steel welding processes of the present invention includes an energy and material metering monitoring device module for the preheating and welding processes of steel components, a data acquisition and preprocessing module, a carbon emission characteristic database module for the preheating and welding processes of high-strength steel, a welding workload analysis module for the components to be welded, and a database matching and carbon emission calculation module. The energy and material metering monitoring device module for the preheating and welding processes of steel components monitors the data during the preheating and welding processes and transmits the monitoring data to the data acquisition and preprocessing module. The data acquisition and preprocessing module collects the monitoring data, performs preprocessing, establishes data associations and binds them to the basic welding information of the steel components, and transmits the acquired monitoring data to the carbon emission characteristic database module for the preheating and welding processes of high-strength steel. The database module includes a carbon emission factor basic database submodule, a high-strength steel preheating welding process characteristic parameter database submodule, and a preheating welding process carbon emission calculation model library submodule. The welding workload analysis module for the component to be welded acquires information about the component to be welded and weld parameters, compiles welding workload data, and transmits the analyzed data to the high-strength steel preheating and welding process carbon emission characteristic database module. The database matching and carbon emission calculation module matches the data provided by the welding workload analysis module with the high-strength steel preheating welding process characteristic parameter database submodule, retrieves corresponding key parameters, calls the carbon emission factors from the carbon emission factor basic database submodule, and the models from the preheating welding process carbon emission calculation model library submodule to calculate and output carbon emission data. Compared with existing technologies, it has the following significant advantages:

[0230] 1. By constructing a real-time data monitoring network covering the entire process of preheating, gas shielded welding, carbon gouging, and submerged arc welding, systematic monitoring of the main carbon emission sources of welding sub-processes has been achieved. This solves the problems of incomplete accounting scope and neglect of key material consumption in existing metering methods, and improves the comprehensiveness and accuracy of carbon emission metering.

[0231] 2. By establishing a carbon emission characteristic database for the preheating and welding processes of high-strength steel, the core input parameters for carbon emission calculation are dynamically correlated with design process parameters such as base material grade and thickness, bevel type and size. Based on the component assembly welding design file, the workload of the component to be welded is automatically analyzed and the corresponding process parameters are matched. This enables accurate prediction of carbon emissions for specific components and specific welds before the start of welding operations, providing a quantitative tool for low-carbon process selection and carbon budgeting in the manufacturing stage. This solves the shortcomings of existing measurement methods that cannot achieve dynamic application and forward-looking analysis.

[0232] 3. By constructing a refined carbon emission calculation model library for each process and energy / material, it can output multi-dimensional indicators such as total carbon emissions of the process, carbon emissions of each process, carbon emissions of each item, and carbon emission intensity per unit weld workload, accurately locating high-carbon emission links and providing unprecedented precision support for process optimization and emission reduction decisions.

[0233] 4. Through system integration, the entire process from automatic data collection, preprocessing, database matching to model calculation has been automated, which significantly reduces the manpower and time costs of carbon emission accounting, ensures the efficiency, reliability and repeatability of the calculation process, and makes it possible to carry out carbon emission measurement of welding processes on a large scale and on a regular basis.

[0234] like Figure 3 As shown, the present invention also provides a computer device, which may be a terminal. The computer device includes, but is not limited to, a processor and a memory. Computer programs and databases are stored in the memory and can run on the processor. When the processor executes the computer program, it implements the corresponding steps of the carbon emission measurement method for the high-strength steel welding process described in the above embodiments, for example... Figure 1 The steps of the measurement method shown, or the functions of each module of the carbon emission measurement system for the high-strength steel welding process described in the above embodiments, for example... Figure 2 The diagram illustrates the functions of each module in the metering system. The computer equipment can be a desktop computer, laptop, handheld computer, or cloud server, as will be understood by those skilled in the art. Figure 3 This is merely an example of a computer device and does not constitute a limitation on the computer device. A computer device may include more or fewer components than shown, or a combination of certain components, or different components. For example, the computer device may also include communication interfaces, input / output devices, network access devices, buses, etc.

[0235] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0236] The memory is used to store computer programs and other programs and data required by the computer device. It can also be used to temporarily store data that has been output or will be output. The memory can be an internal storage unit of the computer device, such as the hard drive or RAM of the computer device. The memory can also be an external storage device of the computer device, such as a plug-in hard drive, smart memory card, secure digital card, flash memory card, etc., equipped on the computer device. Furthermore, the memory can include both internal storage units and external storage devices of the computer device.

[0237] This invention also provides a computer-readable storage medium, which is a physical carrier in the memory hierarchy for storing non-volatile, long-term data. The computer-readable storage medium stores computer programs and a database. A processor loads and executes one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the carbon emission measurement method for the high-strength steel welding process described in the above embodiments, or to implement the functions of each module of the carbon emission measurement system for the high-strength steel welding process described in the above embodiments.

[0238] The effects of the present invention will be further described and illustrated below with reference to specific embodiments.

[0239] Based on step S1, an energy and material metering monitoring system is established for the preheating and welding processes of high-strength steel. The bevel cross-section and dimensions of the high-strength steel BH component to be welded are as follows: Figure 4 As shown, the component to be welded has specifications of BH600×600×60×60, a length of 7722mm, and the base material is high-strength steel Q550GJC-Z25. The welding wire is CHW-S7Φ4.8mm. The welding process includes preheating and heating during welding, gas shielded welding for the root pass, carbon gouging for root cleaning, and submerged arc welding. The energy and materials include fuel gas (propane), oxygen, welding shielding gas (80% argon + 20% carbon dioxide), compressed air, welding wire, flux, carbon rod, and electricity. The gas shielded welding machine is model YD-500FR, the carbon gouging machine is model MRA630, and the submerged arc welding machine is model MZ-1000. Based on the carbon emission factors in the carbon emission factor basic database in step S3 and the model in the carbon emission calculation model library for the preheating welding process, the carbon emissions of the high-strength steel welding process are calculated. The calculation results are shown in Tables 1 and 2. Figure 5 As shown, the carbon emissions from the preheating and heating processes during welding account for 16%, the carbon emissions from the gas shielded welding process account for 1%, the carbon gouging process account for 3%, and the carbon emissions from the submerged arc welding process account for 80%.

[0240] Table 1 Carbon emissions from high-strength steel welding processes

[0241]

[0242] Table 2 Carbon emission intensity of high-strength steel welding

[0243]

[0244] The above description is merely a description of preferred embodiments of the present invention and is not intended to limit the scope of the present invention in any way. Any changes or modifications made by those skilled in the art based on the above disclosure shall fall within the scope of the claims.

Claims

1. A method for measuring carbon emissions from a high-strength steel welding process, characterized in that, The steps are as follows: S1. Establish an energy and material metering and monitoring system for the preheating and welding processes of high-strength steel; S2. For the preheating and welding process of high-strength steel, collect data from the energy and material metering monitoring system of the preheating and welding process of high-strength steel according to the set cycle, establish data association for the collected data, and bind it with the timestamp and basic welding information. S3. Construct a carbon emission characteristic database for the preheating and welding processes of high-strength steel. The carbon emission characteristic database for the preheating and welding processes of high-strength steel includes a basic database of carbon emission factors, a database of characteristic parameters of the preheating and welding process, and a carbon emission calculation model library for the preheating and welding process. The carbon emission calculation model library for the preheating and welding process includes carbon emission models for preheating or heating processes before welding, carbon emission models for gas shielded welding root pass, carbon gouging and cleaning processes, carbon emission models for submerged arc welding processes, total carbon emission models for processes, and total carbon emission intensity models. S4. Based on the component assembly and welding design document, obtain the parameter information of the component to be welded, parse the component assembly and welding design document, automatically identify or manually input the weld parameter information, and calculate the welding workload. S5. Based on the welding workload obtained from step S4, and considering the preheating and heating during welding of steel components, gas shielded welding, carbon gouging and cleaning, and submerged arc welding processes, input the parameter information of the component to be welded, perform feature parameter matching from the preheating welding process feature parameter database described in step S3, retrieve the corresponding material feature parameters, call up the model in the carbon emission calculation model library of the preheating welding process described in step S3, and the carbon emission factor in the carbon emission factor basic database, calculate and output carbon emission data.

2. The carbon emission measurement method for high-strength steel welding process according to claim 1, characterized in that: The energy and material metering monitoring system for the high-strength steel preheating and welding process in step S1 is used to monitor at least the following equipment and parameters: preheating equipment involved in the preheating sub-process, gas shielded welding machine equipment involved in the gas shielded welding root-laying sub-process, carbon arc gouging equipment involved in the carbon gouging root-cleaning sub-process, submerged arc welding machine equipment involved in the submerged arc welding sub-process, heating equipment involved in the welding process, general process parameters, and basic welding information; wherein, power consumption is obtained by installing smart meters; gas consumption, oxygen consumption, welding shielding gas, and compressed air consumption are obtained by installing gas mass flow meters; equipment status and process parameters are collected through the welding system or industrial Internet of Things platform; and basic welding information is obtained through the production management system or manually recorded.

3. The carbon emission measurement method for high-strength steel welding process according to claim 1, characterized in that: In step S3, the basic database of carbon emission factors includes carbon emission factors for electricity, gas, oxygen, compressed air, welding shielding gas, welding wire, flux, and carbon rods. The carbon emission factors for electricity support dynamic updates according to region and time. The carbon emission factors for gas include at least carbon emission factors for propane, acetylene, and natural gas. The carbon emission factors for welding shielding gas include at least carbon emission factors for carbon dioxide gas or a mixture of carbon dioxide and argon.

4. The carbon emission measurement method for high-strength steel welding process according to claim 1, characterized in that: In step S3, the preheating welding process characteristic parameter database includes at least the base material grade and thickness, bevel type and size, weld length, carbon gouging length, weld cross-sectional area, weld leg size, and welding material type fields of the component to be welded, and is associated with at least the following process characteristic parameters: preheating speed, welding speed, carbon gouging speed, welding current and voltage, carbon gouging current and voltage, gas flow rate in the preheating process, oxygen flow rate in the preheating process, gas flow rate during welding, electric power in the preheating process, electric power in the heating process during welding, welding shielding gas flow rate in the welding process, and compressed air flow rate in the carbon gouging process.

5. The carbon emission measurement method for high-strength steel welding process according to claim 1, characterized in that: In step S3, the carbon emission model for the preheating or heating process before welding is as follows: Among them, CE pre Carbon emissions from preheating or heating processes during welding, expressed in kgCO2e; ρ i Density of gases such as fuel gas and oxygen consumed during preheating or heating before welding, in kg / m³ 3 ; Q i,pre The gas flow rate consumed during preheating or heating before welding, in m 3 / h; EF i The carbon emission factor corresponding to the gas consumed during preheating or heating before welding, kgCO2e / kg; P pre The power of preheating before welding or electric heating during welding, in kW; T pre The time for preheating before welding or heating during welding, in hours; EF ele The carbon emission factor for electricity is kgCO2e / kWh; The carbon emission model for the gas shielded welding root pass is as follows: WHAT mag =ρ mag Q mag T mag ×EF mag +M wir ×EF wir P mag T mag ×EF ele Among them, CE mag Carbon emissions for the gas shielded welding root pass process, kgCO2e; ρ mag The density of the shielding gas used in gas shielded welding is expressed in kg / m³. 3 ; Q mag The flow rate of the shielding gas for gas shielded welding is m. 3 / h; EF mag The carbon emission factor corresponding to the shielding gas used in gas shielded welding is kgCO2e / kg; M wir The figure represents the amount of welding wire consumed, in kg. EF wir The carbon emission factor of welding wire is kgCO2e / kg; P mag The power of the gas shielded welding machine is expressed in kW. T mag The welding time for gas shielded welding is in hours (h). The carbon emission model for the carbon-shaving root cleaning process is as follows: WHAT cag =ρ air Q air T air ×EF air +M car ×EF car +P cag T cag ×EF ele Among them, CE cag Carbon emissions from the carbon-shaving and root-cleaning process, expressed as kgCO2e; ρ air The density of compressed air is kg / m³ 3 ; Q air For compressed air flow rate, m 3 / h; T air The operating time for compressed air is in hours (h). EF air The carbon emission factor for compressed air is kgCO2e / kg; M car Carbon rod consumption, in kg; EF car Carbon emission factor for carbon rods, kgCO2e / kg; P cag The power of the carbon planer is expressed in kW. T cag The time for carbonized root cleaning is in hours (h). The carbon emission model for submerged arc welding is as follows: WHAT saw =M wir ×EF wir +M flu ×EF flu +P saw T saw ×EF ele Among them, CE saw Carbon emissions from submerged arc welding process, kgCO2e; M wir The figure represents the amount of welding wire consumed, in kg. EF wir The carbon emission factor of welding wire is kgCO2e / kg; M flu Flux consumption, in kg; EF flu The flux carbon emission factor is expressed as kgCO2e / kg. P saw The power of the submerged arc welding machine is expressed in kW. T saw The welding time for submerged arc welding is in hours (h). The total carbon emission model for the preheating welding process is as follows: WHAT total =EC pre +CE mag +CE cag +CE saw Among them, CE total The total carbon emissions for the preheating welding process are expressed in kgCO2e. The total carbon intensity model is as follows: or, V gro =A gro L wel or, Among them, CE L,unit Carbon emissions per unit weld length, kgCO2e / m; L wel Let the weld length be in meters (m). CE V,unit Carbon emissions per unit weld volume, kgCO2e / m³ 3 ; V gro For the volume of the weld bevel, m 3 ; A gro The cross-sectional area of ​​the weld bevel is in meters. 2 ; CE M,unit Carbon emissions per unit weld mass, kgCO2e / kg; M wir The weight of the welding wire for the weld is in kg.

6. The carbon emission measurement method for high-strength steel welding process according to claim 5, characterized in that: The total carbon emission intensity model includes a unit weld mass carbon emission model (CE). M,unit M quality of welding wire for intermediate weld seam wir The following formula enables online automatic prediction and statistics: M wir =α0+α1A gro +a2d steel +α3E wel +α4v wel +α5Q mag +α6L wel +α7K gro Among them, A gro The cross-sectional area of ​​the weld bevel is in meters. 2 ; δ steel The thickness of the base material is in meters (m). E we1 For welding power consumption, kWh; υ wel The welding speed is expressed in m / s. Q mag m represents the consumption of welding shielding gas. 3 ; L wel Let the weld length be in meters (m). K gro This refers to the bevel type coefficient; α0 to α7 are the model fitting coefficients.

7. The carbon emission measurement method for high-strength steel welding process according to claim 5, characterized in that: The total carbon emission intensity model includes a carbon emission model per weld length (CE). L,unit Calculated online using the following formula: CE L,unit =β0+β1A gro +β2δ steel +β3P wel +β4v wel +β5Q mag,wel +β6K gro +β7K mat Among them, P wel Welding power, in kW; Q mag,wel For the welding shielding gas flow rate, m 3 / h; K gro This refers to the bevel type coefficient; K mat This refers to the base material grade coefficient; β0 to β7 are the model fitting coefficients.

8. A carbon emission metering system for high-strength steel welding processes, characterized in that: It includes a module for energy and material metering and monitoring of component preheating and welding processes, a data acquisition and preprocessing module, a carbon emission characteristic database module for high-strength steel preheating and welding processes, a module for analyzing the welding workload of components to be welded, and a module for database matching and carbon emission calculation. The energy and material metering monitoring device module for the preheating and welding process of the components uses a monitoring sensor system to monitor the power consumption, gas consumption, oxygen consumption, welding shielding gas consumption, compressed air consumption, welding material consumption, equipment status, process parameters, and basic welding information of the preheating and welding process of the steel components, and transmits the monitoring data to the data acquisition and preprocessing module. The data acquisition and preprocessing module acquires the monitoring data from the energy and material metering monitoring device module of the component preheating and welding process, preprocesses the monitoring data, establishes data association and binds it with the basic information of steel component welding, and transmits the acquired monitoring data to the carbon emission characteristic database module of the high-strength steel preheating and welding process. The carbon emission characteristic database module for the high-strength steel preheating and welding process includes a carbon emission factor basic database submodule, a high-strength steel preheating and welding process characteristic parameter database submodule, and a preheating and welding process carbon emission calculation model library submodule. The carbon emission factor basic database submodule stores carbon emission factors of energy and materials and dynamically updates them. The high-strength steel preheating and welding process characteristic parameter database submodule stores fields such as base material grade and thickness, bevel type and size, weld length, carbon gouging length, weld cross-sectional area, weld leg size, and welding material type, and stores key process characteristic parameters of the preheating and welding process and performs parameter correlation. The preheating and welding process carbon emission calculation model library submodule stores the calculation methods and processes for carbon emissions during the preheating and welding process. The welding workload analysis module for the component to be welded obtains the base material grade and thickness of the component to be welded based on the component assembly welding design file, analyzes the component assembly welding design file, automatically identifies or manually inputs weld parameter information, calculates the welding workload data, and transmits the analyzed data to the carbon emission characteristic database module for high-strength steel preheating and welding processes. The database matching and carbon emission calculation module matches the characteristic parameters of the high-strength steel preheating welding process characteristic parameter database submodule with the welding workload data provided by the welding workload analysis module of the component to be welded, retrieves the corresponding key parameters, calls the carbon emission factors of the carbon emission factor basic database submodule and the model of the preheating welding process carbon emission calculation model library submodule, and calculates and outputs carbon emission data.

9. A computer device, characterized in that: It includes at least a processor and a memory. The computer program and database are stored in the memory and run on the processor. When the processor executes the computer program, it implements the corresponding steps of the carbon emission measurement method for high-strength steel welding process as described in any one of claims 1 to 7, or the functions of each module of the carbon emission measurement system for high-strength steel welding process as described in claim 8. The memory is an internal storage unit of the computer device and / or an external storage device.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer programs and databases. The processor loads and executes the instructions stored in the computer-readable storage medium to implement the corresponding steps of the carbon emission measurement method for high-strength steel welding process as described in any one of claims 1 to 7, or the functions of each module of the carbon emission measurement system for high-strength steel welding process as described in claim 8.

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