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

Abstract

According to the high-strength steel cutting and blanking process carbon emission metering method and system and the computer equipment, the metering method comprises the steps that a feature database and a calculation model library fusing material characteristic parameters, process parameters and carbon emission factors are constructed, production task information in a blanking and typesetting design file is analyzed, and the production task information is analyzed; and performing characteristic parameter matching on the material characteristic parameters of the high-strength steel and the high-strength steel preheating cutting process characteristic parameter database, retrieving the corresponding material characteristic parameters, calling the model of the preheating cutting process carbon emission calculation model library and the carbon emission factors in the carbon emission factor basic database, and calculating and outputting carbon emission data. The metering system comprises a high-strength steel preheating and cutting procedure link energy and material metering monitoring device module, a data acquisition and preprocessing module, a high-strength steel preheating and cutting procedure carbon emission characteristic database module, a to-be-cut task information analysis module and a carbon emission database matching and calculating module.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of carbon emission measurement in the process of building steel component processing, and particularly relates to a high-strength steel cutting and blanking process carbon emission measurement method and system and a computer device. BACKGROUND

[0002] Under the background of green and low-carbon transformation of the construction industry, it is crucial to accurately measure the carbon emissions of steel component production links. High-strength steel (hereinafter referred to as high-strength steel) is widely used in important structures such as buildings, bridges, ships, pressure vessels, etc. due to its excellent performance, but compared with ordinary steel, high-strength steel must be preheated before cutting and blanking to prevent cold cracking, which significantly increases energy and material consumption. Its preheating and cutting process is a key source of carbon emissions. However, the existing carbon emission measurement method for high-strength steel cutting and blanking process has the following shortcomings: 1. Coarse measurement, ignoring preheating: The existing carbon emission measurement method focuses on overall power consumption estimation, lacks detailed monitoring of multi-source energy consumption in the preheating and cutting process, and especially ignores real-time monitoring of gas, oxygen consumption and key process parameters specific to the preheating link.

[0003] 2. Disconnected from material and process: No dynamic correlation model has been established between high-strength steel grades, thicknesses, and preheating / cutting process parameters (such as gas flow, speed), resulting in measurement results that are disconnected from reality.

[0004] 3. Model missing or oversimplified: Existing models fail to scientifically distinguish between preheating, cutting, air movement, standby and other states, especially lacking structured calculation models for high-energy preheating stages, which cannot accurately calculate the carbon emission intensity per cutting length, area, and kerf quality.

[0005] 4. Data fragmentation: Energy consumption, process, and material data are scattered in different systems or manually recorded, lacking effective correlation and integration, making it difficult to support accurate dynamic accounting based on actual production tasks.

[0006] The above problems result in low precision of existing carbon emission measurement methods, inability to reflect the impact of preheating and material process characteristics, and inability to achieve fine carbon emission dynamic calculation associated with high-strength steel cutting tasks, which restricts carbon emission reduction optimization. Therefore, it is urgent to develop a full-process fine measurement method and system that integrates multi-source monitoring, considers preheating characteristics, process correlation, and scientific models. SUMMARY

[0007] In view of the problems of the existing carbon emission measurement method for high-strength steel cutting and blanking process, such as single and coarse measurement object, disconnection from material characteristics and process parameters, oversimplified model, and poor data correlation. The purpose of the present application is to provide a high-strength steel cutting and blanking process carbon emission measurement method and system and a computer device.

[0008] The technical scheme adopted by the present application to solve its technical problems is as follows: S1, an energy and material metering monitoring system for the high-strength steel preheating and cutting process link is established; S2, for the high-strength steel preheating and cutting process link, data information of the energy and material metering monitoring system for the high-strength steel preheating and cutting process link is collected according to a set period, the collected data is correlated, and is bound according to a time stamp and material information of the high-strength steel; S3, a carbon emission characteristic database for the high-strength steel preheating and cutting process is constructed, which includes a carbon emission factor basic database, a high-strength steel preheating and cutting process characteristic parameter database, and a preheating and cutting process carbon emission calculation model library; the preheating and cutting process carbon emission calculation model library includes a preheating stage carbon emission model, an effective cutting stage carbon emission model, an empty shift and standby stage carbon emission model, a preheating and cutting process total carbon emission model, and a total carbon emission intensity model; S4, according to a blanking layout design file, task information of the high-strength steel to be cut is obtained, the blanking layout design file is parsed, and process parameters of preheating and cutting are obtained; S5, the task information of the high-strength steel to be cut is inputted, and is matched with the high-strength steel preheating and cutting process characteristic parameter database in the step S3 to retrieve corresponding material characteristic parameters, to call the model of the preheating and cutting process carbon emission calculation model library in the step S3 and the carbon emission factor in the carbon emission factor basic database, and to calculate and output carbon emission data.

[0009] The high-strength steel cutting and blanking process carbon emission metering method of the present application firstly constructs a characteristic database and a calculation model library that fuse material characteristic parameters, process parameters and carbon emission factors, parses production task information in a blanking layout design file, matches the material characteristic parameters of the high-strength steel with the high-strength steel preheating and cutting process characteristic parameter database, retrieves corresponding material characteristic parameters, calls the model of the preheating and cutting process carbon emission calculation model library and the carbon emission factor in the carbon emission factor basic database, calculates and outputs carbon emission data; the present application solves the preheating link quantization problem based on the cooperative mechanism of the database model and production task analysis, outputs unit length, area and mass carbon emission intensity and process total carbon emission quantity that are strongly associated with the high-strength steel cutting task, provides a scientific basis for process optimization and accurate carbon management, and realizes fine and high-precision carbon emission dynamic calculation of the high-strength steel preheating and cutting process; the present application is especially suitable for fine carbon emission metering and accounting in the high-strength steel plate flame or plasma cutting process. 1. By establishing a monitoring system covering preheating, cutting, air movement, and standby states, real-time monitoring of gas and oxygen consumption and key process parameters during the necessary preheating process of high-strength steel is achieved, completely solving the problem of the lack of preheating energy consumption measurement in existing carbon emission measurement methods, and breaking through the bottleneck of high-strength steel carbon emission measurement.

[0010] 2. By constructing a feature database that integrates material characteristic parameters such as high-strength steel grade, thickness, and cutting method with process parameters such as preheating speed and gas flow, a dynamic correlation model of material, process, and carbon emission is established, achieving strong coupling of carbon emission calculation with material characteristics and process parameters, and improving measurement accuracy.

[0011] 3. By constructing independent carbon emission models for preheating, effective cutting, air movement, and standby stages, the energy consumption contribution of each state is accurately quantified, revealing the carbon emission distribution rule and providing targeted basis for process optimization.

[0012] 4. By analyzing the layout design file, combining the feature database and calculation model library, and dynamically calculating the carbon emission data associated with the specific cutting task, task-level dynamic accurate accounting is supported, and multi-dimensional carbon emission intensity indicators are output.

[0013] Further, in step S1, the monitoring objects of the high-strength steel plate preheating and cutting process energy and material measurement monitoring system include at least: power consumption, gas consumption, oxygen consumption, compressed air consumption, device state signal, process parameter, and material information. The power consumption is obtained by installing an intelligent electric meter, the gas consumption, oxygen consumption, and compressed air consumption are obtained by installing a gas mass flow meter, the device state signal and process parameter are collected and obtained through a cutting numerical control system or an industrial Internet of Things platform, and the material information is obtained through a production management system or manual recording.

[0014] Further, in step S3, the carbon emission factor basic database includes at least: electric power carbon emission factor, gas carbon emission factor, oxygen carbon emission factor, and compressed air carbon emission factor. The electric power carbon emission factor supports dynamic updating according to region and time, and the gas carbon emission factor includes at least: carbon emission factors of propane, acetylene, and natural gas.

[0015] Further, in step S3, the high-strength steel preheating and cutting process feature parameter database includes at least: high-strength steel grade, thickness, and cutting method fields, and is associated with at least the following process feature parameters in the preheating and cutting process: preheating speed, cutting speed, kerf width, preheating process gas flow, preheating process electric power, cutting process gas flow, preheating process oxygen flow, cutting process oxygen flow, and cutting process electric power.

[0016] Further, in step S3, the preheating stage carbon emission model is as follows: ; ; wherein, CE pre is the preheating carbon emission of high-strength steel, kgCO2e; p i is the density of gas consumed for preheating, kg / m 3 ; q i,pre is the gas consumption per unit of preheating length, m 3 / m; Q i,pre is the gas flow rate consumed for preheating, m 3 / h; v pre is the flame preheating speed, m / s; L pre is the travel length of flame preheating, m; EF i is the carbon emission factor corresponding to the gas consumed for preheating, kgCO2e / kg; P pre is the power of electric heating for high-strength steel, kW; T pre is the electric heating time, h; EF ele is the carbon emission factor of electricity, kgCO2e / kWh; The carbon emission model for the effective cutting stage is as follows: ; ; wherein, CE cut is the cutting carbon emission of high-strength steel, kgCO2e; q i,cut is the gas consumption per unit of cutting length, m 3 / m; Q i,cut is the gas flow rate consumed for cutting, m 3 / h; v cut is the cutting speed, m / s; L cut m is the length of the cut, m; P cut k is the cutting electrical power for high strength steel, kW; The idle and standby phase carbon emission model is as follows: ; ; ; wherein, CE idl m is the length of the cut, m; q i,idl k is the cutting electrical power for high strength steel, kW; 3 / m; L idl m is the length of the cut, m; P idl k is the cutting electrical power for high strength steel, kW; T idl m is the length of the cut, m; CE st m is the length of the cut, m; P st k is the cutting electrical power for high strength steel, kW; T st m is the length of the cut, m; The preheating cutting process total carbon emission model is as follows: ; wherein, CE total m is the length of the cut, m; The total carbon emission intensity model is as follows: ; or, ; ; or, ; ; wherein, CE L,unit m is the length of the cut, m; L cut The cutting stroke length is in meters (m). CE A,unit Carbon emissions per unit cutting area, kgCO2e / m² 2 ; A cut m is the cutting area. 2 ; CE M,unit Carbon emissions per unit kerf mass, kgCO2e / kg; M cut For the quality of the cut in high-strength steel, kg; p steel The density of high-strength steel is kg / m³. 3 ; d steel The thickness of the high-strength steel is in meters (m). s steel The width of the kerf in high-strength steel is in meters (m).

[0017] Furthermore, in step S3, the carbon emission model per unit cut mass in the total carbon emission intensity model... CE M,unit Quality of kerf in medium and high strength steel M cut Online automatic prediction statistics can be achieved using the following formula: ; in, d steel The thickness of the high-strength steel is in meters (m). v cut The cutting speed is expressed in m / s. s steel The width of the slit in the high-strength steel plate is in meters (m). Q gas For the total gas consumption, m 3 ; Q oxy For total oxygen consumption, m 3 ; L cut The cutting stroke length is in meters (m). α 0~ α 6 represents the model fit coefficient; e M is a random error term.

[0018] Further, in the step S3, the unit cutting length carbon emission model in the total carbon emission intensity model CE L,unit The online prediction calculation is realized by the following formula: ; wherein, d steel is the thickness of high-strength steel, m; v cut is the cutting speed, m / s; s steel is the high-strength steel kerf width, m; Q gas,cut is the cutting gas flow, m 3 / h; Q oxy,cut is the cutting oxygen flow, m 3 / h; k mat is the steel grade coefficient; β 0~6 is a model fitting coefficient; β e CE is a random error term.

[0019] In addition, the application also provides a high-strength steel cutting and blanking process carbon emission metering system, which comprises: a high-strength steel preheating and cutting process link energy and material metering monitoring device module, a data acquisition and preprocessing module, a high-strength steel preheating and cutting process carbon emission characteristic database module, a to-be-cut task information analysis module, and a carbon emission database matching and calculation module. The high-strength steel preheating and cutting process link energy and material metering monitoring device module utilizes a monitoring sensing system to monitor the power consumption, gas consumption, oxygen consumption, equipment state, process parameters, and material information of the high-strength steel preheating and cutting process link, and transmits the monitoring data to the data acquisition and preprocessing module. The data acquisition and preprocessing module acquires the monitoring data of the high-strength steel preheating and cutting process link energy and material metering monitoring device module and pre-processes the monitoring data, establishes data association and high-strength steel material information binding, and transmits the acquired data to the high-strength steel preheating and cutting process carbon emission characteristic database module. ​The high-strength steel preheating and cutting process carbon emission characteristic database module comprises a carbon emission factor basic database submodule, a high-strength steel preheating and cutting process characteristic parameter database submodule and a preheating and cutting process carbon emission calculation model library submodule, the carbon emission factor basic database submodule is used for storing carbon emission factors of energy and materials and realizing dynamic updating, the high-strength steel preheating and cutting process characteristic parameter database submodule is used for storing high-strength steel grades, thicknesses and cutting modes, storing key process characteristic parameters of the preheating and cutting process and realizing parameter correlation, and the preheating and cutting process carbon emission calculation model library submodule is used for storing calculation methods and processes of preheating and cutting process carbon emission; The to-be-cut task information analysis module analyzes high-strength steel grades, thicknesses, cutting modes and cutting process workloads according to blanking layout design of the to-be-cut high-strength steel, and transmits the analysis data to the high-strength steel preheating and cutting process carbon emission characteristic database module. The carbon emission database matching and calculation module matches characteristic parameters with the high-strength steel preheating and cutting process characteristic parameter database module according to the data provided by the to-be-cut task information analysis module, retrieves corresponding key parameters, calls the carbon emission factor basic database submodule and the preheating and cutting process carbon emission calculation model library submodule, and performs carbon emission data calculation and output.

[0020] The high-strength steel cutting and blanking process carbon emission metering system comprises a high-strength steel preheating and cutting process link energy and material metering monitoring device module, a data acquisition and preprocessing module, a high-strength steel preheating and cutting process carbon emission characteristic database module, a to-be-cut task information analysis module and a carbon emission database matching and calculation module. The high-strength steel preheating and cutting process link energy and material metering monitoring device module monitors high-strength steel preheating and cutting process link data and transmits the monitoring data to the data acquisition and preprocessing module, the data acquisition and preprocessing module pre-processes the monitoring data, establishes data correlation and high-strength steel material information binding, and transmits the acquired data to the high-strength steel preheating and cutting process carbon emission characteristic database module. The to-be-cut task information analysis module analyzes high-strength steel cutting workloads according to blanking layout design of the to-be-cut high-strength steel, and transmits the analysis data to the high-strength steel preheating and cutting process carbon emission characteristic database module. The carbon emission database matching and calculation module matches characteristic parameters with the high-strength steel preheating and cutting process characteristic parameter database module according to the data provided by the to-be-cut task information analysis module, retrieves corresponding key parameters, calls the carbon emission factor basic database submodule and the preheating and cutting process carbon emission calculation model library submodule, and performs carbon emission data calculation and output. Compared with the prior art, the system has the following remarkable beneficial effects: 1. By establishing a monitoring system covering preheating, cutting, air moving, and standby states, the real-time monitoring of gas and oxygen consumption and key process parameters in the necessary preheating link of high-strength steel is realized, the problem of the absence of preheating energy consumption measurement in the existing carbon emission measurement method is completely solved, and the bottleneck of high-strength steel carbon emission measurement is broken through.

[0021] 2. By constructing a feature database that integrates material characteristic parameters such as high-strength steel grade, thickness, and cutting method with process parameters such as preheating speed and gas flow, a dynamic correlation model of material, process, and carbon emission is established, the strong coupling of carbon emission calculation with material characteristics and process parameters is realized, and the measurement accuracy is improved.

[0022] 3. By constructing independent carbon emission models for preheating, effective cutting, air moving, and standby stages, the energy consumption contribution of each state is accurately quantified, and the carbon emission distribution law is revealed to provide targeted basis for process optimization.

[0023] 4. By analyzing the layout design file of the blanking, combining the feature database and the calculation model library, and dynamically calculating the carbon emission data strongly associated with the specific cutting task, task-level dynamic accurate accounting is supported, and multi-dimensional carbon emission intensity indicators are output.

[0024] The application also provides a computer device comprising at least a processor and a memory, a computer program and a database stored in the memory and running on the processor, the processor implementing the corresponding steps of the high-strength steel cutting and blanking process carbon emission measurement method or the functions of each module of the high-strength steel cutting and blanking process carbon emission measurement system when executing the computer program, and the memory being an internal storage unit or / and an external storage device of the computer device.

[0025] The application also provides a computer readable storage medium storing a computer program and a database, and a processor loading and executing instructions stored in the computer readable storage medium to implement the corresponding steps of the high-strength steel cutting and blanking process carbon emission measurement method or the functions of each module of the high-strength steel cutting and blanking process carbon emission measurement system. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 The flowchart of the high-strength steel cutting and blanking process carbon emission measurement method of an embodiment of the application; Figure 2 The schematic diagram of the high-strength steel cutting and blanking process carbon emission measurement system of an embodiment of the application; Figure 3 The schematic diagram of the computer device in an embodiment of the application. DETAILED DESCRIPTION

[0027] The application will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the accompanying drawings are very simplified and use non-precise proportions, and are only used to facilitate and clarify the purpose of assisting in the description of the embodiments of the application.

[0028] In conjunction with Figure 1 The carbon emission metering method for the high-strength steel cutting and blanking process of the application is described below, and the specific steps are as follows: S1, an energy and material metering monitoring system for the high-strength steel preheating and cutting process is established; S2, data acquisition and preprocessing, for the high-strength steel preheating and cutting process, data information of the energy and material metering monitoring system for the high-strength steel preheating and cutting process is collected according to a set period, the collected data is associated, and is bound according to a time stamp and material information of the high-strength steel; S3, a carbon emission characteristic database for the high-strength steel preheating and cutting process is constructed, which includes a carbon emission factor basic database, a high-strength steel preheating and cutting process characteristic parameter database, and a preheating and cutting process carbon emission calculation model library; S4, according to a blanking layout design file, task information of the high-strength steel to be cut is obtained, such as the grade, thickness, cutting mode, etc. of the high-strength steel to be cut, the blanking layout design file is analyzed, and parameters such as the preheating stroke length, effective cutting length, and empty stroke length are obtained; S5, matching the database and calculating the carbon emission, the task information of the high-strength steel to be cut is input, the characteristic parameter matching is performed with the high-strength steel preheating and cutting process characteristic parameter database in the step S3, the corresponding material characteristic parameter is searched, the model of the preheating and cutting process carbon emission calculation model library in the step S3 is called, the carbon emission factor in the carbon emission factor basic database is called, and the carbon emission data is calculated and output.

[0029] The high-strength steel cutting and blanking process carbon emission metering method of the present application firstly constructs a characteristic database and a calculation model library integrating material characteristic parameters, process parameters and carbon emission factors, analyzes production task information in a blanking layout design file, matches the material characteristic parameters of the high-strength steel with the high-strength steel preheating cutting process characteristic parameter database, retrieves the corresponding material characteristic parameters, calls the model of the preheating cutting process carbon emission calculation model library and the carbon emission factors in the carbon emission factor basic database, and calculates and outputs the carbon emission data; based on the collaborative mechanism of the database model and the production task analysis, the present application overcomes the preheating link quantization problem, outputs the unit length, area and mass carbon emission intensity and the process total carbon emission quantity strongly associated with the high-strength steel cutting task, provides a scientific basis for process optimization and accurate carbon management, and realizes the fine and high-precision carbon emission dynamic calculation of the high-strength steel preheating and cutting process; the present application is especially suitable for the fine carbon emission metering and accounting of the high-strength steel plate flame or plasma cutting process. 1. By establishing a monitoring system covering the preheating, cutting, air moving and standby states, the gas and oxygen consumption and key process parameters of the necessary preheating link of the high-strength steel are monitored in real time, the problem of the lack of preheating energy consumption metering in the existing carbon emission metering method is solved, and the bottleneck of high-strength steel carbon emission metering is broken through.

[0030] 2. By constructing a characteristic database integrating the material characteristic parameters such as the high-strength steel grade, thickness and cutting method and the process parameters such as the preheating speed and gas flow, a dynamic correlation model of material, process and carbon emission is established, the strong coupling of carbon emission calculation and material characteristics and process parameters is realized, and the metering accuracy is improved.

[0031] 3. By constructing independent carbon emission models for the preheating, effective cutting, air moving and standby stages, the energy consumption contribution of each state is accurately quantified, and the carbon emission distribution rule is revealed to provide a targeted basis for process optimization.

[0032] 4. By analyzing the blanking layout design file, combining the characteristic database and the calculation model library, the carbon emission data strongly associated with the specific cutting task is dynamically calculated and generated, task-level dynamic accurate accounting is supported, and multi-dimensional carbon emission intensity indexes are output.

[0033] In the step S1, the monitoring objects of the high-strength steel plate preheating and cutting process link energy and material metering monitoring system mainly include: 1) power consumption: including cutting host, control system, auxiliary equipment, etc.

[0034] 2) gas consumption: the gas flow consumed for flame cutting, mainly including propane, natural gas, acetylene, etc.

[0035] 3) oxygen consumption: the flow of oxygen for preheating and cutting.

[0036] 4) Compressed air consumption: for cooling or cleaning.

[0037] 5) Equipment status signal: indicating the status of running / preheating / cutting / idle / standby, etc.

[0038] 6) Process parameters: including preheating time, preheating speed, cutting speed, gas pressure, oxygen pressure, kerf width, torch model, etc.

[0039] 8) Material information: indicating the grade of high-strength steel plate, strength grade, plate thickness, etc.

[0040] The monitoring object parameters of the energy and material metering monitoring system in the high-strength steel plate preheating and cutting process link are obtained by the following monitoring methods: the power consumption is obtained by installing an intelligent electric meter. The gas consumption, oxygen consumption, and compressed air consumption are obtained by installing a gas mass flow meter. The equipment status and process parameters are collected and obtained through the OPC interface of the cutting numerical control system or the industrial Internet of Things platform. The material information is recorded by the production management system or manually.

[0041] In step S2, the monitoring system data information specifically includes: timestamp, equipment status, instantaneous electric power (kW) / cumulative electric energy (kWh), instantaneous gas flow (L / min) / cumulative flow (m 3 ), instantaneous oxygen flow (L / min) / cumulative flow (m 3 ), instantaneous compressed air flow (L / min) / cumulative flow (m 3 ), preheating speed (mm / min), cutting speed (mm / min), preheating time (min), cutting time (min), high-strength steel grade, kerf width (mm), plate thickness (mm), etc. At the same time, the collected data are associated, and the timestamp is bound with the material information of the high-strength steel.

[0042] In step S3, the carbon emission factor basic database mainly includes electric power carbon emission factor, gas carbon emission factor, oxygen carbon emission factor, compressed air carbon emission factor, etc. The electric power carbon emission factor supports dynamic updating according to region and time. The gas carbon emission factor mainly includes carbon emission factors of propane, acetylene, natural gas, etc.

[0043] In step S3, the high-strength steel preheating and cutting process characteristic parameter database mainly includes high-strength steel grade, thickness, cutting mode, etc. It at least includes the following key parameters: 1) Preheating speed: this parameter is associated with high-strength steel grade and thickness parameters; 2) Cutting speed: This parameter is associated with high-strength steel grade, cutting method, thickness, kerf width, etc. 3) Kerf width: This parameter is associated with high-strength steel grade, cutting method, thickness, torch model, etc. 4) Preheating process gas flow: This parameter is associated with preheating method, gas type, torch model, preheating speed, etc. 5) Preheating process electric power: This parameter is associated with preheating method, equipment model, etc. 6) Cutting process gas flow: This parameter is associated with cutting method, gas type, torch model, cutting speed, etc. 7) Preheating process oxygen flow: This parameter is associated with preheating method, torch model, preheating speed, etc. 8) Cutting process oxygen flow: This parameter is associated with cutting method, torch model, cutting speed, etc. 9) Cutting process electric power: This parameter is associated with cutting method, equipment model, etc.

[0044] The preheating cutting process carbon emission calculation model library in step S3 mainly includes the following models: I. The preheating stage carbon emission model is as follows: ; ; Wherein, CE pre is the preheating carbon emission of high-strength steel, kgCO2e; p i is the density of gas consumed for preheating, kg / m 3 ; q i,pre is the gas consumption per unit preheating length, m 3 / m; Q i,pre is the gas flow consumed for preheating, m 3 / h; v pre is the flame preheating speed, m / s; L pre is the travel length of flame preheating, m; EF i is the carbon emission factor corresponding to the gas consumed for preheating, kgCO2e / kg; Ppre Phe, kW; is the power of the electric heating of the high-strength steel; T pre tE, h; is the electric heating time; EF ele CFE, kgCO2e / kWh; is the electric power carbon emission factor.

[0045] II. Effective cutting phase carbon emission model is as follows: ; ; wherein, CE cut Pcut, kgCO2e; is the high-strength steel cutting carbon emission; q i,cut Vcut, m / m; is the gas consumption per unit cutting length; 3 ; Q i,cut Qcut, m3 / h; is the gas flow consumed by cutting; 3 ; v cut Vcut, m / s; is the cutting speed; L cut Lcut, m; is the cutting stroke length; P cut Pcut, kW; is the high-strength steel cutting electric power.

[0046] III. Air displacement and standby phase carbon emission model is as follows: ; ; ; wherein, CE idl Pdis, kgCO2e; is the air displacement carbon emission; q i,idl Vdis, m / m; is the gas consumption per unit air displacement length; 3 ; L idl Ldis, m; is the air displacement stroke length; P idl Pdis, kW; is the air displacement electric power; T idl tdis, h; is the air displacement time; CEst for standby carbon emission, kgCO2e; P st for standby electric power, kW; T st for standby time, h.

[0047] Four, the total carbon emission model of the preheating cutting process is as follows: ; wherein, CE total for the total process carbon emission, kgCO2e.

[0048] Five, the total carbon emission intensity model is as follows: ;

[0049] or, ; ; or, ; ;

[0050] wherein, CE L,unit for the unit cutting length carbon emission, kgCO2e / m; L cut for the cutting stroke length, m; CE A,unit for the unit cutting area carbon emission, kgCO2e / m 2 ; A cut for the cutting area, m 2 ; CE M,unit for the unit slot mass carbon emission, kgCO2e / kg; M cut for the high-strength steel slot mass, kg; p steel for the high-strength steel density, kg / m 3 ; d steel for the high-strength steel thickness, m; s steelFor high-strength steel slit width, m.

[0051] The step S5, carbon emissions calculation as follows: 1) carbon intensity: carbon emissions per unit length of cutting, carbon emissions per unit cutting area, carbon emissions per unit slit mass; 2) based on carbon intensity calculation of preheating cutting process total carbon emissions; 3) sub-item carbon emissions: preheating gas, preheating oxygen, cutting gas, cutting oxygen, electricity, etc.

[0052] Preferably, the step S3, the total carbon intensity model in the unit slit mass carbon emissions model CE M,unit Medium high strength steel slit mass M cut Can be achieved by the following formula online automatic prediction statistics: ; Where, d steel For high-strength steel thickness, m; v cut Cutting speed, m / s; s steel For high-strength steel plate slit width, m; Q gas Total gas consumption, m 3 ; Q oxy Total oxygen consumption, m 3 ; L cut Cutting length, m; α 0~6 is the model fitting coefficient; α M Random error term. e Preferably, the step S3, the total carbon intensity model in the unit cutting length carbon emissions model

[0053] L,unit Can be achieved by the following formula online fast prediction calculation: CE ; Where, d steel High-strength steel thickness, m; v cut ​is the cutting speed, m / s; s steel is the high-strength steel slit width, m; Q gas,cut is the cutting gas flow, m 3 / h; Q oxy,cut is the cutting oxygen flow, m 3 / h; k mat is the steel grade coefficient, a characteristic value quantifying different grades of steel (such as Q420, Q460, Q550, Q690, etc.), which can be assigned according to its carbon equivalent, strength grade through expert experience or preliminary experiment; β 0~6 is the model fitting coefficient; β e CE is the random error term.

[0054] In combination Figure 2 The high-strength steel cutting and blanking process carbon emission metering system of the application includes a high-strength steel preheating and cutting process link energy and material metering monitoring device module, a data acquisition and preprocessing module, a high-strength steel preheating and cutting process carbon emission characteristic database module, a to-be-cut task information analysis module, and a carbon emission database matching and calculation module.

[0055] The high-strength steel preheating and cutting process link energy and material metering monitoring device module uses a monitoring sensor system to monitor the power consumption, gas consumption, oxygen consumption, equipment state, process parameters, and material information of the high-strength steel preheating and cutting process link, and transmits the monitoring data to the data acquisition and preprocessing module.

[0056] The data acquisition and preprocessing module acquires and pre-processes the monitoring data of the high-strength steel preheating and cutting process link energy and material metering monitoring device module, establishes data association and high-strength steel material information binding, and transmits the acquired data to the high-strength steel preheating and cutting process carbon emission characteristic database module.

[0057] ​The high-strength steel preheating and cutting process carbon emission characteristic database module specifically comprises a carbon emission factor basic database submodule, a high-strength steel preheating and cutting process characteristic parameter database submodule and a preheating and cutting process carbon emission calculation model library submodule. The carbon emission factor basic database submodule is used for storing carbon emission factors of energy and materials and realizing dynamic updating. The high-strength steel preheating and cutting process characteristic parameter database submodule is used for storing high-strength steel grades, thicknesses, cutting modes and the like, storing key process characteristic parameters in the preheating and cutting process and realizing parameter correlation. The preheating and cutting process carbon emission calculation model library submodule is used for storing calculation methods and processes of carbon emission in the preheating and cutting process.

[0058] The to-be-cut task information analysis module analyzes high-strength steel grades, thicknesses, cutting modes and cutting process workloads according to layout design of the to-be-cut high-strength steel and transmits the analysis data to the high-strength steel preheating and cutting process carbon emission characteristic database module.

[0059] The carbon emission database matching and calculation module matches characteristic parameters with the high-strength steel preheating and cutting process characteristic parameter database module according to the data of high-strength steel grades, thicknesses, cutting modes and the like provided by the to-be-cut task information analysis module, retrieves corresponding key parameters, calls the carbon emission factor basic database submodule and the preheating and cutting process carbon emission calculation model library submodule and realizes carbon emission data calculation and output.

[0060] The high-strength steel cutting and blanking process carbon emission metering system of the application comprises a high-strength steel preheating and cutting process link energy and material metering monitoring device module, a data acquisition and preprocessing module, a high-strength steel preheating and cutting process carbon emission characteristic database module, a to-be-cut task information analysis module and a carbon emission database matching and calculation module. The high-strength steel preheating and cutting process link energy and material metering monitoring device module monitors high-strength steel preheating and cutting process link data and transmits the monitoring data to the data acquisition and preprocessing module. The data acquisition and preprocessing module pre-processes the monitoring data, establishes data correlation and high-strength steel material information binding and transmits the acquired data to the high-strength steel preheating and cutting process carbon emission characteristic database module. The to-be-cut task information analysis module analyzes high-strength steel cutting workloads according to layout design of the to-be-cut high-strength steel and transmits the analysis data to the high-strength steel preheating and cutting process carbon emission characteristic database module. The carbon emission database matching and calculation module matches characteristic parameters with the high-strength steel preheating and cutting process characteristic parameter database module according to the data provided by the to-be-cut task information analysis module, retrieves corresponding key parameters, calls the carbon emission factor basic database submodule and the preheating and cutting process carbon emission calculation model library submodule and realizes carbon emission data calculation and output. 1. By establishing a monitoring system covering preheating, cutting, air movement, and standby states, the real-time monitoring of gas and oxygen consumption and key process parameters in the necessary preheating link of high-strength steel is realized, the problem of the absence of preheating energy consumption measurement in the existing carbon emission measurement method is completely solved, and the bottleneck of high-strength steel carbon emission measurement is broken through.

[0061] 2. By constructing a feature database that integrates material characteristic parameters such as high-strength steel grade, thickness, and cutting method with process parameters such as preheating speed and gas flow, a dynamic correlation model of material, process, and carbon emission is established, the strong coupling of carbon emission calculation with material characteristics and process parameters is realized, and the measurement accuracy is improved.

[0062] 3. By constructing independent carbon emission models for preheating, effective cutting, air movement, and standby stages, the energy consumption contribution of each state is accurately quantified, the carbon emission distribution law is revealed, and targeted basis is provided for process optimization.

[0063] 4. By analyzing the layout design file of the blanking, combining the feature database and the calculation model library, and dynamically calculating the carbon emission data strongly associated with the specific cutting task, task-level dynamic accurate accounting is supported, and multi-dimensional carbon emission intensity indicators are output.

[0064] As shown in Figure 3 , the present application also provides a computer device, which can be a terminal, including but not limited to a processor, a memory, a computer program, and a database stored in the memory and executable on the processor, the processor executes the computer program to realize the corresponding steps of the high-strength steel cutting and blanking process carbon emission measurement method described in the above embodiments, such as Figure 1 the corresponding steps of the measurement method, or the functions of each module of the high-strength steel cutting and blanking process carbon emission measurement system described in the above embodiments, such as Figure 2 the functions of each module of the measurement system. The computer device can be a desktop computer, a notebook, a palm computer, and a cloud server, etc. Those skilled in the art can understand that Figure 3 the computer device is only an example of a computer device and does not constitute a limitation on the computer device, the computer device can include more or fewer components than the illustration, or combine certain components, or different components, for example, the computer device can also include a communication interface, an input and output device, a network access device, a bus, etc.

[0065] The memory is used to store computer programs and other programs and data required by the computer device, and 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 a hard disk or a memory of the computer device. The memory can also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card, a secure digital card, a flash memory card, etc. Further, the memory can include both the internal storage unit and the external storage device of the computer device.

[0066] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits, field programmable gate arrays or other programmable logic devices, discrete gate or transistor logic discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0067] The application also provides a computer readable storage medium, which is a physical carrier for non-volatile, long-term data storage in the memory hierarchy. The computer readable storage medium stores a computer program and a database. The processor loads and executes one or more instructions stored in the computer readable storage medium to implement the corresponding steps of the high-strength steel cutting and blanking process carbon emission metering method described in the above embodiments, or to implement the functions of the modules of the high-strength steel cutting and blanking process carbon emission metering system described in the above embodiments.

[0068] The effects of the application are further described and explained below in combination with specific embodiments.

[0069] According to the step S1, an energy and material metering monitoring system for the high-strength steel plate preheating and cutting process link is established. In this embodiment, a numerical control flame cutting method and a flame heating method are used for preheating. The numerical control flame cutting machine model is SZQG-II, the specification size is 6000mm*40000mm, and the power voltage is 220V. The energy and material consumed by the numerical control flame cutting machine are mainly electric power, propane and oxygen. According to the carbon emission factors in the carbon emission factor library basic database in the step S3 and the models in the carbon emission model calculation library, the carbon emission of the high-strength steel preheating and cutting process link is calculated, and the calculation results are shown in Tables 1 and 2.

[0070] Table 1 Carbon emission of high-strength steel preheating and cutting process

[0071] Table 2 Carbon emission intensity of high-strength steel cutting and blanking

[0072] The above description is only the description of the preferred embodiments of the present application, and is not any limitation on the scope of the present application. Any change and modification made by the person skilled in the art according to the above disclosure is within the scope of the claims.

Claims

1. A method of measuring carbon emissions in a high-strength steel cutting blanking process, characterized by, The steps are as follows: S1, establish high-strength steel preheating and cutting process link energy, material metering monitoring system; S2, for high-strength steel preheating and cutting process link, according to the set period, the data information of high-strength steel preheating and cutting process link energy, material metering monitoring system is collected, the collected data is established data association, and is bound according to time stamp and high-strength steel material information; S3, construct high-strength steel preheating and cutting process carbon emission characteristic database, it includes carbon emission factor basic database, high-strength steel preheating cutting process characteristic parameter database and preheating cutting process carbon emission calculation model library;The preheating cutting process carbon emission calculation model library includes preheating stage carbon emission model, effective cutting stage carbon emission model, empty shift and standby stage carbon emission model, preheating cutting process total carbon emission model, total carbon emission intensity model; S4, according to the layout design file of blanking, the task information of high-strength steel to be cut is obtained, the layout design file of blanking is parsed, and the process parameters of preheating and cutting are obtained; S5, input the task information of high-strength steel to be cut, and match the characteristic parameters with the high-strength steel preheating cutting process characteristic parameter database in step S3, retrieve the corresponding material characteristic parameters, call the model of the preheating cutting process carbon emission calculation model library in step S3, and the carbon emission factor in the carbon emission factor basic database, calculate and output carbon emission data.

2. The method of claim 1, wherein: In step S1, the monitoring objects of the high-strength steel plate preheating and cutting process link energy, material metering monitoring system at least include: power consumption, gas consumption, oxygen consumption, compressed air consumption, device state signal, process parameter, material information;The power consumption is obtained by installing intelligent electric meter, the gas consumption, oxygen consumption, compressed air consumption are obtained by installing gas mass flow meter, the device state signal, process parameter are collected by cutting numerical control system or industrial internet of things platform, and the material information is obtained by production management system or manual record.

3. The method of claim 1, wherein: In step S3, the carbon emission factor basic database at least includes power carbon emission factor, gas carbon emission factor, oxygen carbon emission factor, compressed air carbon emission factor, the power carbon emission factor supports dynamic updating according to region and time, and the gas carbon emission factor at least includes carbon emission factors of propane, acetylene and natural gas.

4. The method of claim 1, wherein: In step S3, the high-strength steel preheating cutting process characteristic parameter database at least includes high-strength steel grade, thickness, cutting mode field, and is associated with at least the following process characteristic parameters in preheating cutting process: preheating speed, cutting speed, kerf width, preheating process gas flow, preheating process electric power, cutting process gas flow, preheating process oxygen flow, cutting process oxygen flow, cutting process electric power.

5. The method of claim 1, wherein: In step S3, the preheating stage carbon emission model is as follows: ； ； wherein, CE pre Preheating carbon emissions for high strength steel, kgCO2e; ρ i Density of gas, such as fuel gas, oxygen, etc. consumed for preheating, kg / m 3 ; q i ,pre Gas consumption for unit preheating length, m 3 / m; Q i ,pre Gas flow rate consumed for preheating, m 3 / h; υ pre Flame preheat velocity, m / s; L pre m is the length of the preheating run for the flame EF i Carbon emission factor for preheating consumed gas, kgCO2e / kg; P pre Power, kW, for electric heating of high-strength steel T pre for the electrical heating time, h; EF ele Power carbon emission factor, kgCO2e / kWh; The effective cutting stage carbon emission model is as follows: ； ； wherein, CE cut Carbon emissions for high strength steel cutting, kgCO2e; q i ,cut Gas consumption for unit cutting length, m 3 / m; Q i ,cut Gas flow consumed for cutting, m 3 / h; υ cut Cutting speed, m / s; L cut m for the length of the cut, P cut Cutting electric power for high-strength steel, kW; The empty shift and standby stage carbon emission model is as follows: ； ； ； wherein, CE idl Empty displacement, kgCO2e; q i ,idl Gas consumption for unit air displacement length, m 3 / m; L idl for the empty move length, m; P idl For displacement electric power, kW; T idl h for the emptying time; CE st kg CO2e for standby carbon emissions; P st Standby electrical power, kW; T st for standby time, h; The preheating cutting process total carbon emission model is as follows: ； wherein, CE total Total carbon emissions for the process, kg CO2e; The total carbon emission intensity model is as follows: ； Or, ； ； Or, ； ； wherein, CE L,unit Carbon emission per unit cutting length, kgCO2e / m; L cut m for the length of the cut, CE A,unit Carbon emission per unit cut area, kgCO2e / m 2 ; A cut for the cut area, m 2 ; CE M,unit Mass carbon emissions for unit slitting, kgCO2e / kg; M cut For high strength steel slit quality, kg; ρ steel Density for high strength steel, kg / m 3 ; δ steel For high strength steel thickness, m; σ steel For high strength steel slit width, m.

6. The high-strength steel cutting and blanking process carbon emission metering method according to claim 1, characterized in that: In the step S3, the unit slit mass carbon emission model in the total carbon emission intensity model CE M,unit Medium-high strength steel slit mass M cut The online automatic prediction statistics are realized by the following formula: ； wherein, δ steel thickness of the high-strength steel, m; υ cut Cutting speed, m / s; σ steel For high-strength steel plate slot width, m; Q gas for the total gas consumption, m 3 ; Q oxy For the total oxygen consumption, m 3 ; L cut m for the length of the cut, α 0 to α 6 is a model fitting coefficient; ε M is a random error term.

7. The method of claim 1, wherein: In the step S3, the unit cutting length carbon emission model in the total carbon emission intensity model CE L,unit The online prediction calculation is realized by the following formula: ； wherein, δ steel for high strength steel thickness, m; υ cut Cutting speed, m / s; σ steel For high strength steel slit width, m; Q gas,cut For cutting gas flow, m 3 / h; Q oxy,cut For cutting oxygen flow, m 3 / h; k mat For steel grade factor; β 0 to 1 β 6 is a model fitting coefficient; ε CE is a random error term.

8. A high-strength steel cutting blanking process carbon emission metering system, characterized by, comprising: high-strength steel preheating and cutting process energy, material metering monitoring device module, data acquisition and preprocessing module, high-strength steel preheating and cutting process carbon emission characteristic database module, to-be-cut task information analysis module, carbon emission database matching and calculation module; The high-strength steel preheating and cutting process energy, material metering monitoring device module utilizes a monitoring sensor system to monitor power consumption, gas consumption, oxygen consumption, device state, process parameters, and material information of the high-strength steel preheating and cutting process, and transmits the monitoring data to the data acquisition and preprocessing module. The data acquisition and preprocessing module acquires and pre-processes the monitoring data of the high-strength steel preheating and cutting process energy, material metering monitoring device module, establishes data association and high-strength steel material information binding, and transmits the acquired data to the high-strength steel preheating and cutting process carbon emission characteristic database module. The high-strength steel preheating and cutting process carbon emission characteristic database module includes a carbon emission factor basic database submodule, a high-strength steel preheating and cutting process characteristic parameter database submodule, and a preheating and cutting process carbon emission calculation model library submodule. The carbon emission factor basic database submodule is used to store carbon emission factors of energy and materials and realize dynamic updating. The high-strength steel preheating and cutting process characteristic parameter database submodule is used to store high-strength steel grade, thickness, and cutting method fields, store key process characteristic parameters of the preheating and cutting process, and perform parameter association. The preheating and cutting process carbon emission calculation model library submodule is used to store calculation methods and processes of preheating and cutting process carbon emission. The to-be-cut task information analysis module analyzes high-strength steel grade, thickness, cutting method, and cutting process workload according to layout design of to-be-cut high-strength steel, and transmits the analysis data to the high-strength steel preheating and cutting process carbon emission characteristic database module. The carbon emission database matching and calculation module matches the data provided by the to-be-cut task information analysis module with the high-strength steel preheating and cutting process characteristic parameter database module, retrieves corresponding key parameters, calls the carbon emission factor basic database submodule and the preheating and cutting process carbon emission calculation model library submodule, and performs carbon emission data calculation and output.

9. A computer device, characterized by: It at least includes a processor and a memory, a computer program and a database are stored in the memory and run on the processor, the processor executes the computer program to realize the corresponding steps of the high-strength steel cutting and blanking process carbon emission metering method according to any one of claims 1 to 7, or the functions of each module of the high-strength steel cutting and blanking process carbon emission metering system according to claim 8, and the memory is an internal storage unit or / and an external storage device of a computer device.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program and a database, and the processor loads and executes the instructions stored in the computer readable storage medium to realize the corresponding steps of the high-strength steel cutting and blanking process carbon emission metering method according to any one of claims 1 to 7, or the functions of each module of the high-strength steel cutting and blanking process carbon emission metering system according to claim 8.

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