Integrated design method and system for three-dimensional simulation model of natural gas burning gun

Abstract

The invention relates to the technical field of model design, in particular to an integrated design method and system for a three-dimensional simulation model of a natural gas burning gun. The method comprises the following steps: collecting geometric parameters and operation parameters of a natural gas burning gun to obtain initial equipment parameter information; performing laser micro-texture treatment on the inner surface of a combustion chamber of the natural gas combustion gun to generate periodic micro-groove array data; constructing a three-dimensional initial model of the natural gas burning gun through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; and acquiring natural gas fuel characteristic data, inputting the fuel characteristic data into the three-dimensional initial model for combustion process simulation, and performing multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result. Through three-dimensional modeling, combustion simulation and dynamic optimization adjustment, the problems of low efficiency, large optimization difficulty, lack of real-time feedback and the like in traditional design are solved, and the design precision and combustion performance of the natural gas combustion gun are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of model design, and in particular to an integrated design method and system for a three-dimensional simulation model of a natural gas burner gun. Background Art

[0002] In the early stage, the design of natural gas burner guns mainly relied on empirical models and experimental verification, with a long design cycle and high cost, and it was difficult to achieve the best performance. With the maturity of computational fluid dynamics (CFD) technology, the application of three-dimensional simulation models has gradually developed. Engineers can analyze key parameters such as gas flow, temperature distribution, and pollutant emissions during the combustion process through numerical simulation, providing a scientific basis for the design of burner guns. With the improvement of computing power and the continuous improvement of simulation software, three-dimensional simulation models based on CFD have been widely used in the design of natural gas burner guns. By accurately simulating the combustion chamber, gas injection device, and their interactions, designers can optimize the structure and operating parameters of the burner gun, achieving higher combustion efficiency and lower pollutant emissions. Currently, the three-dimensional simulation models of natural gas burner guns are not limited to gas flow and combustion simulations, but also integrate comprehensive analyses in multiple fields such as thermodynamics and electromagnetic fields, providing more comprehensive technical support for the efficient and safe operation of burner guns. However, currently, the evaluation of the combustion process is often difficult to conduct comprehensive analysis from multiple dimensions, affecting the accurate control of combustion efficiency and pollutant emissions. At the same time, the design often lacks real-time monitoring and feedback, making it difficult to discover problems and adjust design parameters in a timely manner, resulting in relatively low design accuracy and combustion performance of the three-dimensional simulation model of natural gas burner guns. Summary of the Invention

[0003] Based on this, it is necessary to provide an integrated design method and system for a three-dimensional simulation model of a natural gas burner gun to solve at least one of the above technical problems.

[0004] To achieve the above object, an integrated design method for a three-dimensional simulation model of a natural gas burner gun, the method includes the following steps: Step S1: Collect the geometric parameters and operating parameters of the natural gas burner gun to obtain initial equipment parameter information; perform laser micro-texturing treatment on the inner surface of the combustion chamber of the natural gas burner gun to generate periodic micro-groove array data; construct a three-dimensional initial model of the natural gas burner gun through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; Step S2: Obtain natural gas fuel characteristic data, input the fuel characteristic data into the three-dimensional initial model for combustion process simulation, and conduct multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result; Step S3: Optimize the three-dimensional initial model according to the combustion process evaluation result. If the combustion process evaluation result does not reach the preset combustion efficiency threshold, then coordinately adjust the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics to generate a three-dimensional optimized model; Step S4: Integrate the three-dimensional optimized model into the combustion control system for actual combustion testing. Monitor the flame morphology and temperature field distribution through a high-temperature thermal imager to obtain combustion feedback data; based on the combustion feedback data, perform dynamic parameter calibration on the three-dimensional optimized model to generate a high-precision three-dimensional simulation model of the natural gas burner gun.

[0005] The present invention collects the geometric and operating parameters of the device, and combines with the fuel characteristics to perform multi-dimensional combustion process simulation and dynamic optimization, which can realize the coordinated regulation of the nozzle structure, fuel mixing ratio, and combustion chamber morphology, thereby significantly improving the combustion efficiency and reducing energy waste. Using the actual combustion feedback data to perform dynamic calibration on the three-dimensional optimized model to form a three-dimensional simulation model with high credibility and high adaptability, providing a reliable basis for subsequent design improvement and control system optimization. Generating a periodic micro-groove array through laser micro-texturing treatment helps to enhance heat conduction and air flow disturbance, improve combustion stability and flame morphology, and further improve the thermal energy utilization rate. Integrating the simulation model with the combustion control system, and optimizing the design process through high-temperature thermal imaging feedback closed-loop, realizing the intelligent closed-loop of design-simulation-test-feedback, and promoting the development of the combustion system towards digitalization and intelligentization. By precisely regulating the combustion parameters, the fuel is fully burned, reducing the generation of incomplete combustion products (such as CO, NOx, etc.), which helps to reduce industrial emissions and improve the environmental protection performance. The three-dimensional modeling and simulation analysis method replaces the traditional trial-and-error experiment, effectively shortening the design iteration cycle, reducing the R & D test cost, and improving the engineering development efficiency. Therefore, the present invention solves the problems of low efficiency, difficult optimization, and lack of real-time feedback in traditional designs through three-dimensional modeling, combustion simulation, and dynamic optimization adjustment, significantly improving the design accuracy and combustion performance of the natural gas burner gun.

[0006] Preferably, step S1 includes the following steps: Step S11: Use multi-source sensors to collect the geometric parameters and operating parameters of the natural gas burner gun to obtain initial equipment parameter information; Step S12: Extract the inner surface temperature distribution data of the combustion chamber in the natural gas burner gun based on the initial equipment parameter information, and perform air flow scouring path analysis on the natural gas burner gun according to the inner surface temperature distribution data of the combustion chamber to generate a high heat load area and a main heat transfer and heat exchange path area, which are uniformly marked as laser micro-texturing priority processing area data; Step S13: Use femtosecond laser pulses to perform laser micro-texturing processing on the inner surface of the combustion chamber of the natural gas burner gun based on the laser micro-texturing priority processing area data to generate periodic micro-groove array structure data; Step S14: Based on the initial device parameter information set and the periodic micro-groove array structure parameter data, construct a three-dimensional initial structure model of the natural gas burner in 3D modeling software, where the construction process includes: Establish the geometric entities of the natural gas burner housing and the combustion channel; Map the periodic micro-groove array to the corresponding area on the inner wall of the combustion chamber; Add operating condition marker points.

[0007] Preferably, in step S12, the airflow scouring path analysis of the natural gas burner based on the inner surface temperature distribution data of the combustion chamber includes: Perform thermal field reconstruction on the inner surface temperature distribution data of the combustion chamber to obtain the absolute temperature value and the spatial thermal gradient change of each surface node, and generate a spatial thermal gradient matrix, where each matrix element contains three-dimensional coordinates and the corresponding temperature derivative value; Based on the spatial thermal gradient matrix, classify the thermal gradient distribution of the inner surface temperature distribution data of the combustion chamber to generate the inner and outer surface thermal partition data of the combustion chamber; Set the high-temperature threshold condition, and use the high-temperature threshold condition to perform regional clustering analysis on the inner and outer surface thermal partition data of the combustion chamber, extract the clustering center and its associated nodes to identify the high-heat load area where the heat flow is concentrated; Perform a flow field simulation on the high-heat load area, and extract the flow path and velocity vector distribution of the gas in the combustion chamber; Calculate the scouring intensity coefficient of each wall area according to the flow path and velocity vector distribution to obtain the airflow scouring path intensity map; screen the scouring significant area from the airflow scouring path intensity map through the set gas scouring threshold to obtain the gas scouring significant area; Perform spatial matching on the high-heat load area and the gas scouring significant area to obtain the main heat transfer and heat exchange path area, perform an area intersection operation on the high-heat load area and the main heat transfer and heat exchange path area, and uniformly mark the area corresponding to the operation result as the laser micro-texture priority processing area data.

[0008] Preferably, the flow field simulation of the high-heat load area includes: Set the geometric model size range of the combustion chamber to 200–500 mm × 200–500 mm × 200–600 mm, the combustion chamber diameter range to 80–150 mm, the length to 200–400 mm, the gas inlet flow velocity is set between 10–50 m / s, the inlet temperature range is 300–600 K, and the inlet pressure is set to 1.01×10 5 Pa; Set the wall temperature of the high-heat load area to be in the range of 900–1500 K, the outlet pressure is set to 1.01×10 5 Pa, and the combustion model selects the non-premixed combustion model or the PDF model.

[0009] Preferably, step S2 includes the following steps: Step S21: Obtain natural gas fuel characteristic data; Step S22: Input the fuel characteristic data into the three-dimensional initial model to construct the combustion process simulation boundary conditions, where the boundary conditions include inlet conditions, wall conditions, turbulence models, and combustion models; Step S23: Perform numerical simulation of the natural gas combustion process on the fuel characteristic data based on the combustion process simulation boundary conditions to generate a combustion process simulation dataset, where the numerical simulation of the natural gas combustion process includes the ignition, heat transfer, diffusion, and emission processes of natural gas in three-dimensional space; Step S24: Conduct multi-dimensional quantitative analysis on the combustion process simulation dataset to generate a combustion process evaluation result.

[0010] Preferably, if the combustion process evaluation result in step S3 does not reach the preset combustion efficiency threshold, then the coordinated adjustment of the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics includes: If the combustion process evaluation result does not reach the preset combustion efficiency threshold, then extract the regional combustion abnormal characteristic of the three-dimensional initial model based on the combustion process evaluation result to obtain a coordinated adjustment target parameter set, where the coordinated adjustment target parameter set includes the nozzle outlet velocity and angle deviation, air-fuel ratio deviation, and geometric thermal hysteresis zone characteristics; Optimize the curvature of the nozzle internal channel of the nozzle structure in the three-dimensional initial model according to the nozzle outlet velocity and angle deviation to generate nozzle structure adjustment data; Dynamically regulate the fuel mixing field of the fuel mixing parameters in the three-dimensional initial model through the air-fuel ratio deviation to generate fuel dynamic mixing field regulation data; Adjust the ratio of the expansion section to the contraction section of the combustion chamber for the geometric characteristics of the combustion chamber by using the geometric thermal hysteresis zone characteristics to generate local geometric reconstruction data of the combustion chamber; Couple and integrate the nozzle structure adjustment data, fuel dynamic mixing field regulation data, and local geometric reconstruction data of the combustion chamber for simulation, and optimize the three-dimensional initial model through the simulation results to obtain a three-dimensional optimized model.

[0011] Preferably, coupling and integrating the nozzle structure adjustment data, fuel dynamic mixing field regulation data, and local geometric reconstruction data of the combustion chamber for simulation, and optimizing the three-dimensional initial model through the simulation results includes: Extract multi-scale parameters from the nozzle structure adjustment data to generate jet boundary constraint data; Perform time-series segmented modeling on the fuel dynamic mixing field regulation data to generate time-segmented turbulence distribution field data; Perform topological slicing and local feature mapping on the local geometric reconstruction data of the combustion chamber to generate structural analysis domain data; Project the jet boundary constraint data, time-segmented turbulent distribution field data, and structural analysis domain data onto a master coordinate system for spatial alignment, unit normalization, and scale adjustment to form unified simulation domain coordinate data; Based on the cross-domain coupling boundary, perform multi-field variable coupling integration simulation mapping on the unified simulation domain coordinate data to construct a coupled integrated simulation result; Optimize the three-dimensional initial model through the coupled integrated simulation result.

[0012] Preferably, step S4 includes the following steps: Step S41: Integrate the three-dimensional optimization model into the combustion control system for actual combustion testing; Step S42: Monitor the flame morphology and temperature field distribution during actual combustion testing through a high-temperature thermal imager to obtain combustion feedback data; Step S43: Analyze the combustion performance of the combustion feedback data, and perform dynamic effect error calibration on the three-dimensional optimization model based on the combustion performance to generate a high-precision three-dimensional simulation model of the natural gas burner gun.

[0013] Preferably, step S41 includes the following steps: Step S411: Start the combustion control system and create an actual combustion test project; Import the three-dimensional optimization model into the combustion control system, and input the natural gas fuel characteristic data into the three-dimensional optimization model to generate integrated combustion control model data; Step S412: Set the combustion test parameters in the combustion control system, where the fuel flow rate is set to 10–30 m³ / h, the air flow rate is set to 20–100 m³ / h, the combustion chamber temperature is set to 900–1500 °C, and the combustion duration is set to 600–1800 seconds; Generate combustion test parameter setting data; Step S413: Set the ignition and preheating stage parameters in the combustion control system, where the ignition energy is 1000–1500 J, the preheating temperature is set to 300–600 °C, and the preheating time is set to 60–180 seconds; Generate ignition and preheating control data; Step S414: Start the combustion control system and begin the actual combustion test process; Continuously monitor and record the key data in the combustion system every 10 seconds, including: combustion temperature, combustion pressure, fuel / air mixture ratio, CO / CO2 / NOx concentration in the flue gas, to generate a combustion real-time monitoring data sequence; Step S415: Continuously analyze the feedback signal of the combustion control system; when it is detected that all test parameters meet the set combustion test parameter range and the emission concentration is lower than the set threshold, it is determined that the actual combustion test process is over.

[0014] In this specification, an integrated design system for a three-dimensional simulation model of a natural gas burner is provided, which is used to execute the above-mentioned integrated design method for the three-dimensional simulation model of the natural gas burner. The integrated design system for the three-dimensional simulation model of the natural gas burner includes: An initial modeling module, configured to collect the geometric parameters and operating parameters of the natural gas burner to obtain initial equipment parameter information; perform laser micro-texturing on the inner surface of the combustion chamber of the natural gas burner to generate periodic micro-groove array data; construct a three-dimensional initial model of the natural gas burner through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; A combustion simulation module, configured to obtain natural gas fuel characteristic data, input the fuel characteristic data into the three-dimensional initial model for combustion process simulation, and perform multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result; A model optimization module, configured to optimize the three-dimensional initial model according to the combustion process evaluation result. If the combustion process evaluation result does not reach the preset combustion efficiency threshold, the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics are adjusted collaboratively to generate a three-dimensional optimized model; A parameter calibration module, configured to integrate the three-dimensional optimized model into the combustion control system for actual combustion testing, monitor the flame shape and temperature field distribution through a high-temperature thermal imager to obtain combustion feedback data; perform dynamic parameter calibration on the three-dimensional optimized model based on the combustion feedback data to generate a high-precision three-dimensional simulation model of the natural gas burner.

[0015] The beneficial effects of the present invention are as follows: The initial modeling module can accurately construct a three-dimensional initial model of the natural gas burner by collecting the geometric parameters and operating parameters of the combustion chamber and combining the data of the periodic micro-groove array generated by laser micro-texturing. This process provides a highly accurate geometric basis for subsequent combustion simulation and model optimization, ensuring the reliability of the combustion process simulation. The combustion simulation module inputs the natural gas fuel characteristic data into the three-dimensional initial model, simulates the combustion process and conducts multi-dimensional evaluations, and can comprehensively analyze key indicators such as combustion efficiency, pollutant emissions, and combustion stability. This module can quickly identify combustion performance problems and provide data-based solutions. Based on the evaluation results of the combustion process, the model optimization module can automatically identify the reasons for the substandard combustion efficiency and coordinately optimize and adjust the nozzle structure, fuel mixing parameters, combustion chamber geometric features, etc. This system automation optimization strategy can effectively improve the combustion efficiency, reduce emissions, reduce energy consumption, and improve the overall system operation stability. The parameter calibration module combines the three-dimensional optimized model with the combustion control system, conducts actual combustion tests and real-time monitors the flame morphology and temperature field distribution. Through the combustion feedback data obtained by the high-precision thermal imager, the system can dynamically calibrate the parameters of the three-dimensional optimized model, thereby realizing a high-precision simulation model. This calibration process can adjust the equipment performance in real time during actual application to ensure the best operating state of the burner. The entire system process combines real-time feedback data with intelligent optimization strategies, greatly shortening the development cycle of the natural gas burner, and each round of optimization can provide targeted performance improvement. The results of each optimization and calibration can provide data support for subsequent iterative updates, promoting the continuous improvement of equipment performance. Therefore, the present invention solves the problems of low efficiency, difficult optimization, and lack of real-time feedback in traditional designs through three-dimensional modeling, combustion simulation, and dynamic optimization adjustment, significantly improving the design accuracy and combustion performance of the natural gas burner. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the step flow for an integrated design method of a three-dimensional simulation model for a natural gas burner; Figure 2 For Figure 1 a detailed implementation step flow diagram of step S1 in Figure 3 For Figure 1 a detailed implementation step flow diagram of step S2 in The realization, functional characteristics, and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The technical method of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0018] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor methods and / or microcontroller methods.

[0019] It should be understood that although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0020] To achieve the above object, please refer to Figures 1 to 3 , an integrated design method for a three-dimensional simulation model of a natural gas burner, the method comprising the following steps: Step S1: Collect the geometric parameters and operating parameters of the natural gas burner to obtain initial equipment parameter information; perform laser micro-texturing treatment on the inner surface of the combustion chamber of the natural gas burner to generate periodic micro-groove array data; construct a three-dimensional initial model of the natural gas burner through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; Step S2: Obtain natural gas fuel characteristic data, input the fuel characteristic data into the three-dimensional initial model for combustion process simulation, and perform multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result; Step S3: Optimize the three-dimensional initial model according to the combustion process evaluation result. If the combustion process evaluation result does not reach the preset combustion efficiency threshold, then perform coordinated adjustment on the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics to generate a three-dimensional optimized model; Step S4: Integrate the three-dimensional optimization model into the combustion control system for actual combustion tests. Monitor the flame morphology and temperature field distribution through a high-temperature thermal imager to obtain combustion feedback data. Dynamically calibrate the parameters of the three-dimensional optimization model based on the combustion feedback data to generate a high-precision three-dimensional simulation model of the natural gas burner gun.

[0021] The present invention collects the geometric and operating parameters of the device, and combines with the fuel characteristics to conduct multi-dimensional combustion process simulation and dynamic optimization, which can realize the coordinated control of the nozzle structure, fuel mixing ratio and combustion chamber morphology, thereby significantly improving the combustion efficiency and reducing energy waste. Dynamically calibrate the three-dimensional optimization model using the actual combustion feedback data to form a three-dimensional simulation model with high credibility and high adaptability, providing a reliable basis for subsequent design improvement and control system optimization. Generate a periodic micro-groove array through laser micro-texturing treatment, which helps to strengthen heat conduction and air flow disturbance, improve combustion stability and flame morphology, and further improve the thermal energy utilization rate. Integrate the simulation model with the combustion control system, and optimize the design process through a high-temperature thermal imaging feedback closed loop to realize the intelligent closed loop of design-simulation-test-feedback, promoting the development of the combustion system towards digitalization and intelligentization. By precisely controlling the combustion parameters, the fuel is fully burned, reducing the generation of incomplete combustion products (such as CO, NOx, etc.), which helps to reduce industrial emissions and improve environmental protection performance. The three-dimensional modeling and simulation analysis method replaces the traditional trial-and-error experiment, effectively shortening the design iteration cycle, reducing the R & D test cost, and improving the engineering development efficiency. Therefore, the present invention solves the problems of low efficiency, difficult optimization and lack of real-time feedback in traditional design through three-dimensional modeling, combustion simulation and dynamic optimization adjustment, and significantly improves the design accuracy and combustion performance of the natural gas burner gun.

[0022] In the embodiment of the present invention, referring to Figure 1 As shown, it is a schematic diagram of the step flow of an integrated design method for a three-dimensional simulation model of a natural gas burner gun according to the present invention. In this example, the integrated design method for the three-dimensional simulation model of the natural gas burner gun includes the following steps: Step S1: Collect the geometric parameters and operating parameters of the natural gas burner gun to obtain initial equipment parameter information; perform laser micro-texturing treatment on the inner surface of the combustion chamber of the natural gas burner gun to generate periodic micro-groove array data; construct a three-dimensional initial model of the natural gas burner gun through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; Step S2: Obtain natural gas fuel characteristic data, input the fuel characteristic data into the three-dimensional initial model for combustion process simulation, and conduct multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result; Step S3: Optimize the three-dimensional initial model according to the combustion process evaluation results. If the combustion process evaluation results do not reach the preset combustion efficiency threshold, then coordinately adjust the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics to generate a three-dimensional optimized model; Step S4: Integrate the three-dimensional optimized model into the combustion control system for actual combustion testing. Monitor the flame morphology and temperature field distribution through a high-temperature thermal imager to obtain combustion feedback data; calibrate the dynamic parameters of the three-dimensional optimized model based on the combustion feedback data to generate a high-precision three-dimensional simulation model of the natural gas burner gun.

[0023] In the embodiments of the present invention, a three-dimensional laser scanner is used to perform high-precision scanning on the geometric structure of the natural gas burner to obtain the geometric parameters of each part of the burner, including nozzle size, combustion chamber shape, surface structure, etc. At the same time, the operating parameters of the natural gas burner, such as the flow rate of natural gas, inlet pressure, intake temperature, etc., are collected through on-site sensors (such as flow meters, temperature sensors, and pressure sensors) to construct the initial equipment parameter information. Subsequently, surface treatment is carried out on the surface of the combustion chamber using laser micro-texturing technology to generate periodic micro-groove array data through a laser scanning system. This surface treatment can affect the air flow and combustion characteristics, thereby improving the combustion efficiency. The equipment parameters and micro-groove data are imported into three-dimensional modeling software (such as SolidWorks or ANSYS DesignModeler), and a three-dimensional initial model of the natural gas burner is generated based on the existing data. The fuel characteristic data of natural gas are collected, including its calorific value, density, viscosity, and chemical composition, etc. These data are imported into combustion simulation software (such as ANSYS Fluent, COMSOL Multiphysics) for combustion process simulation. The simulation process includes flame propagation, temperature distribution, pollutant generation, and combustion efficiency, etc. During the simulation process, the input fuel characteristic data are combined with the three-dimensional initial model to calculate various indicators such as flame propagation path, air flow distribution, temperature gradient, and flue gas emissions. Through multi-dimensional evaluation, the simulation results of the combustion process are generated, and the performance data such as combustion efficiency, flame stability, pollutant emissions, and temperature distribution are analyzed and confirmed. According to the combustion process evaluation results generated in step S2, if the combustion efficiency does not reach the preset combustion efficiency threshold (for example, lower than 95%), the structure of the burner needs to be optimized. Specific optimization measures include: according to the combustion simulation results, adjusting the diameter, aperture, number of holes, and injection angle of the nozzle to improve the mixing effect of gas and air and ensure more complete combustion. By adjusting the ratio of fuel to air, optimizing the mixing process to ensure the best oxygen concentration in the combustion chamber. Fine-tuning the shape of the combustion chamber, such as adjusting the curvature of the combustion chamber wall or adding air flow guiding devices, to optimize the air flow distribution and flame stability. Through multiple simulations and comparison with experimental data, a three-dimensional optimized model is finally generated to improve the combustion efficiency and equipment stability. The generated three-dimensional optimized model is integrated into the combustion control system for actual combustion testing. A high-temperature thermal imager is used to monitor the flame morphology and temperature field distribution, and combustion feedback data are collected in real time. The feedback data include flame stability, changes in flame morphology, temperature field distribution, etc. During the test process, the control system adjusts parameters such as fuel flow rate, intake temperature, and pressure to ensure the best performance of the combustion process. Based on these combustion feedback data, the three-dimensional optimized model is further dynamically calibrated, and the parameters in the model, such as nozzle structure and fuel mixing ratio, are adjusted to ensure the most accurate simulation model.After repeated debugging and calibration, a high-precision three-dimensional simulation model of the natural gas burner is finally generated, which can reflect the changes during the combustion process in real time and provide accurate basis for subsequent optimization and monitoring.

[0024] As an example of the present invention, refer to Figure 2 As shown, in this example, the step S1 includes: Step S11: Use multi-source sensors to collect the geometric parameters and operating parameters of the natural gas burner to obtain initial equipment parameter information; Step S12: Extract the inner surface temperature distribution data of the combustion chamber in the natural gas burner based on the initial equipment parameter information, and analyze the gas flow scouring path of the natural gas burner according to the inner surface temperature distribution data of the combustion chamber, generate high heat load areas and main heat transfer and heat exchange path areas and uniformly mark them as laser micro-texture priority processing area data; Step S13: Use femtosecond laser pulses to perform laser micro-texture processing on the inner surface of the combustion chamber of the natural gas burner based on the laser micro-texture priority processing area data to generate periodic micro-groove array structure data; Step S14: Based on the initial equipment parameter information set and the periodic micro-groove array structure parameter data, construct a three-dimensional initial structure model of the natural gas burner in three-dimensional modeling software, and the construction process includes: Establish geometric entities of the outer shell and combustion channel of the natural gas burner; Map the periodic micro-groove array to the corresponding area of the inner wall of the combustion chamber; Add operating condition marking points.

[0025] The present invention synchronously acquires the geometric parameters and operating parameters (such as pressure, flow rate, temperature, etc.) of the natural gas burner through multi-source sensors, ensuring comprehensive and accurate initial equipment parameter information and providing a highly reliable raw data basis for subsequent modeling, analysis, and optimization. Through the analysis of the inner surface temperature distribution in the combustion chamber and the tracking of the gas flow scouring path, the high heat load area and the main heat transfer and heat exchange path area are accurately identified as the priority areas for laser micro-texturing, effectively improving the functional focus of the microstructure design and the thermal energy management efficiency. A periodic micro-groove array structure is applied in the optimized area to enhance the control ability of the inner wall of the combustion chamber on the gas flow disturbance, improve the heat conduction and fuel mixing uniformity, and thus improve the stability of the combustion process and the quality of the flame structure. In the three-dimensional modeling stage, not only the geometric entities of the outer shell and the combustion channel are reconstructed, but also the accurate mapping of the periodic micro-groove structure is realized, and the operating condition marking points are added, enabling the model to more realistically reflect the physical structure and dynamic response, and providing a highly consistent data model for subsequent combustion process simulation and optimization. From multi-source perception, data-driven identification, laser finishing to three-dimensional structure modeling, a complete front-end digital twin link is formed to support the refined design, performance analysis, and manufacturing tracking of the equipment structure. The accurate microstructure modeling and thermal characteristic mapping provide real boundaries and initial conditions for the combustion process simulation, greatly improving the credibility and guiding value of the subsequent combustion evaluation and optimization results.

[0026] In the embodiments of the present invention, sensors suitable for collecting geometric parameters (such as dimensions, shapes) and operating parameters (such as temperature, pressure, flow rate) are selected. For example, a laser scanner is used to obtain external geometric data, and a temperature sensor (such as an infrared sensor or a thermocouple) is used to obtain temperature data of the combustion chamber. The sensors are installed at key positions of the natural gas burner, such as the combustion chamber wall, the nozzle, the combustion channel, etc., to ensure that the sensors can collect the required data in real time. Through the data acquisition system, various parameters are recorded in real time, and the data is stored in a computer or a cloud platform to provide initial equipment parameters for subsequent analysis. Using the collected temperature data of the inner surface of the combustion chamber, numerical simulation is carried out using computational fluid dynamics (CFD) software to obtain the temperature distribution throughout the combustion chamber. The simulation can calculate the temperature field through physical models of heat conduction, convection, and radiation. Based on the temperature distribution data, use CFD to analyze the flow of the gas in the combustion chamber, find the paths where the gas contacts the wall surface, and identify the main path regions where the gas flushes. According to the temperature distribution data, identify the regions with high heat load. These regions are usually related to the combustion efficiency and need special attention. Combining the analysis of the gas flow path and the calibration of the high heat load regions, mark these regions as the priority processing regions for laser micro-texturing. These regions are the key optimization objects and will provide the basis for laser processing. Select equipment suitable for femtosecond laser pulse processing. Femtosecond laser pulses can provide high peak power and short pulse duration, which are suitable for precision processing. According to the priority processing regions marked in step S12, use CAD or CAM software to formulate laser processing paths. These paths should cover the high heat load regions of the inner wall of the combustion chamber and form a periodic micro-groove structure. Focus the femtosecond laser pulse on the surface of the combustion chamber, and by precisely controlling the frequency and energy of the laser pulse, the engraving of the micro-groove array is achieved. Ensure that the periodicity, depth, and spacing of each micro-groove meet the design requirements. Monitor the laser processing process in real time to ensure good contact between the laser pulse and the surface of the combustion chamber, and adjust the processing parameters such as laser power and scanning speed as needed. Import the initial equipment parameter data and the periodic micro-groove array structure data into a 3D modeling software (such as SolidWorks, AutoCAD, or ANSYS DesignModeler) as the basis for modeling. According to the initial equipment parameter data, first create the geometric entities of the outer shell of the natural gas burner and the combustion channel in the modeling software, ensuring that the dimensions and shapes are consistent with the actual equipment. Map the micro-groove array structure formed by femtosecond laser processing to the corresponding regions of the inner wall of the combustion chamber, and these regions should match the laser micro-texturing priority processing regions. Mark different operating condition points (such as temperature, pressure, flow rate, etc.) in the 3D model, and these points will be used for subsequent simulation analysis or parameter monitoring in actual operation. Optimize the 3D initial structure model to ensure its stability and efficiency in actual operation. Conduct virtual simulation to verify whether the gas flow, temperature distribution, and heat load conditions in the combustion chamber meet the expectations.

[0027] Preferably, the analysis of the gas flow scouring path for the natural gas burner according to the combustion chamber inner surface temperature distribution data in step S12 includes: Reconstruct the thermal field of the combustion chamber inner surface temperature distribution data to obtain the absolute temperature value and the spatial thermal gradient change of each surface node, and generate a spatial thermal gradient matrix, where each matrix element contains three-dimensional coordinates and the corresponding temperature derivative value; Based on the spatial thermal gradient matrix, classify the thermal gradient distribution of the combustion chamber inner surface temperature distribution data to generate the thermal partition data of the combustion chamber inner and outer surfaces; Set the high heat threshold condition, and use the high heat threshold condition to perform regional clustering analysis on the thermal partition data of the combustion chamber inner and outer surfaces, extract the cluster center and its associated nodes to identify the high heat load area where the heat flow is concentrated; Perform a flow field simulation on the high heat load area, and extract the flow line path and velocity vector distribution of the gas in the combustion chamber; Calculate the scouring intensity coefficient of each wall area according to the flow line path and velocity vector distribution to obtain the gas flow scouring path intensity map; screen the scouring significant area of the gas flow scouring path intensity map through the set gas scouring threshold to obtain the gas scouring significant area; Spatially match the high heat load area and the gas scouring significant area to obtain the main heat transfer and heat exchange path area, perform an area intersection operation on the high heat load area and the main heat transfer and heat exchange path area, and uniformly mark the area corresponding to the operation result as the laser micro-texture priority processing area data.

[0028] Through the thermal field reconstruction of the temperature distribution data on the inner surface of the combustion chamber, a spatial thermal gradient matrix containing three-dimensional coordinates and temperature derivatives is constructed to accurately capture the change trend of heat in space, providing high-resolution input for the identification of high heat load regions and avoiding the coarse-grained misjudgment based on the average temperature in the traditional method. By combining the thermal gradient partition classification with the clustering analysis based on the high heat threshold, the focus is effectively placed on the regions with intensive heat flow. At the same time, the flow field simulation technology is introduced to extract the gas flow path and velocity vector, and calculate the wall erosion intensity to form a gas erosion intensity map, so as to make a more physically based judgment on the "heat + flow" coupled influence region. The region screening of the gas erosion path intensity map is carried out by using the set erosion intensity threshold, avoiding the dependence on manual experience and realizing the quantitative identification of high erosion intensity regions, providing a clear target region for subsequent structural treatment. By spatially matching the high heat load region with the significantly eroded region and finding the intersection, the main heat transfer and heat exchange path regions are accurately delineated, ensuring that the priority processing region of laser micro-texturing is truly concentrated in the most critical position for heat transfer enhancement, improving the efficiency of micro-texturing processing and the resource utilization rate. The whole process is based on data matrices, heat flow models and flow field simulation calculations, without relying on prior design experience, constructing an intelligent analysis framework that can adaptively identify key regions, providing more robust support for the micro-texture design under complex structures or working conditions. Accurately identifying and texturing the significantly heat transfer path regions helps to improve the heat exchange efficiency and surface disturbance ability, promote the mixing uniformity of gas and air and the combustion sufficiency, so as to achieve the comprehensive effects of improving the combustion efficiency, reducing energy consumption and reducing heat loss.

[0029] In the embodiments of the present invention, the temperature data obtained from the sensor should be processed and converted into a format suitable for thermal field reconstruction. For example, two-dimensional or three-dimensional temperature distribution data is imported into CFD (Computational Fluid Dynamics) software or a dedicated thermal analysis tool (such as COMSOL Multiphysics, ANSYS Fluent, etc.). Using a thermal field reconstruction algorithm (such as a reconstruction technique based on finite element analysis or interpolation method), the absolute temperature value of each surface node is calculated. Common algorithms include Kriging interpolation method or inverse problem method, which can efficiently generate the temperature distribution of complex surfaces. Calculate the temperature gradient according to the temperature value of each node and the temperature change of its neighboring nodes to form a temperature derivative matrix. Each element of the spatial thermal gradient matrix contains the corresponding three-dimensional coordinates and the temperature derivative value. According to the range of thermal gradient changes, certain classification criteria can be set, for example, divided into several levels according to the magnitude of the temperature derivative (such as high-temperature, medium-temperature, and low-temperature regions). Using the zoning criteria, classify the spatial thermal gradient matrix, and divide the inner and outer surfaces of the combustion chamber into different thermal zones. For each zone, calculate its boundary and mark the corresponding zone type to generate thermal zone data, usually output in the form of a two-dimensional or three-dimensional data set, including the spatial position and temperature gradient characteristics of each zone. According to the working requirements of the device, set a high-temperature threshold, indicating that the area where the temperature exceeds this threshold is the high heat load area. For example, it can be set that the temperature gradient exceeds a specific value or the absolute temperature exceeds a certain critical value as the criterion for the high-temperature area. Use clustering algorithms (such as K-means, DBSCAN, etc.) to analyze the thermal zone data, extract the cluster centers and their associated nodes, and identify the areas where heat flux is concentrated, which are usually the high heat load areas. Clustering analysis helps to screen out the areas with intensive heat and strong heat transfer. Use CFD simulation software (such as ANSYS Fluent, COMSOL Multiphysics, etc.) to simulate the flow field inside the combustion chamber. Input the initial conditions of the combustion gas (temperature, pressure, flow rate, etc.), and calculate information such as the flow path, velocity distribution, and eddy current of the gas flow in the combustion chamber through the software. Extract the velocity vector diagram from the flow field simulation results to show the direction and magnitude of the gas flow velocity, and these velocity data will be used for the subsequent calculation of the erosion intensity. Through the velocity vector data extracted from the flow field simulation, the erosion intensity coefficient of the gas flow on the wall can be calculated. The commonly used calculation method is to calculate the erosion intensity coefficient through the flow velocity and the kinetic energy of gas particles, and the formula is as follows: ; where is the erosion intensity coefficient, is the flow velocity, is the gas density, is the gas particle diameter, The impact angle is [angle value]. Based on the erosion intensity coefficient of each region, an erosion path intensity map is generated. This map can be presented in the form of a heat map or color coding, showing which regions are most affected by the gas flow erosion. A gas erosion threshold is set, and the regions exceeding this value are considered significant gas flow erosion regions. These regions usually have a relatively high gas flow velocity and high erosion intensity. According to the set erosion threshold, the gas flow erosion path intensity map is screened to extract the significant erosion regions. The high heat load regions and the significant gas flow erosion regions are matched in three-dimensional space to find their intersection regions. These intersection regions are both regions with high heat load and regions with strong gas flow erosion, indicating that these regions are the areas that most need to be optimized. Geometric analysis tools (such as CAD software or custom algorithms) are used to perform an intersection operation on the high heat load regions and the significant gas flow erosion regions to generate the final data of the laser micro-texturing priority processing regions, and these regions will be used as the priority targets for laser micro-texturing.

[0030] Preferably, the flow field simulation of the high heat load region includes: Set the geometric model size range of the combustion chamber to 200–500mm×200–500mm×200–600mm, the combustion chamber diameter range to 80–150mm, the length to 200–400mm, the gas inlet flow velocity is set between 10–50m / s, the inlet temperature range is 300–600K, and the inlet pressure is set to 1.01×10 5 Pa; Set the wall temperature of the high heat load region in the range of 900–1500K, the outlet pressure is set to 1.01×10 5 Pa, and the combustion model is selected as the non-premixed combustion model or the PDF model.

[0031] In the present invention, by setting the geometric size range of the combustion chamber to 200–500mm×200–500mm×200–600mm, combined with the combustion chamber diameter of 80–150mm and the length of 200–400mm, the simulation model can highly fit the structural sizes of various industrial-grade natural gas burners, ensuring that the simulation results have wide engineering adaptability and practical guiding significance. The gas inlet flow velocity is set in the range of 10–50m / s, the temperature is set to 300–600K, and the pressure is normal pressure (about 1.01×10 5Pa), matching the physical properties of the gas under actual operating conditions, making the turbulent development, velocity distribution, and boundary layer behavior of the gas in the cavity more realistic, and providing accurate basic data for subsequent analysis of the erosion path and heat flux distribution. Setting the wall temperature in the high heat load area in the thermal boundary condition range of 900–1500K can accurately simulate the influence of high-temperature heat transfer on local flow behavior and the formation of the thermal boundary layer, enhancing the model's ability to identify and predict actual heat transfer hot spots. Using a non-premixed combustion model or a PDF (Probability Density Function) combustion model enables the simulation process to accurately describe the combustion reaction process and heat release behavior of the gas in a non-uniform mixing state, which is particularly suitable for analyzing non-steady combustion scenarios with multiple working conditions, multiple regions, and multiple scales. Set the outlet pressure to atmospheric pressure (1.01×10 5 Pa) to be consistent with the inlet pressure, ensuring the boundary condition closure and physical continuity of the overall simulation model, which is conducive to improving the convergence speed and stability of the calculation and reducing simulation errors. Accurately simulating information such as the gas flow velocity vector, pressure distribution, and temperature field evolution can provide a quantitative basis for accurately identifying the erosion path and heat gradient strengthening path, further enhancing the scientificity and processing efficiency of laser micro-texture area demarcation.

[0032] In the embodiments of the present invention, a three-dimensional geometric model of the combustion chamber is created in CFD software (such as ANSYS Fluent, COMSOL Multiphysics, etc.). According to the set size range (200–500mm×200–500mm×200–600mm), set the length, width, and height ratios of the combustion chamber, and ensure that the model can accommodate the required flow and heat transfer characteristics. Length range: 200–400mm, width and height: 200–500mm (specific values depend on the actual design). Set the inner diameter of the combustion chamber to be between 80–150mm. According to the actual combustion chamber design, set a typical diameter value and ensure that it meets the gas flow requirements in actual engineering. Use a CAD modeling tool (such as SolidWorks or AutoCAD) or directly create a geometric model in the CFD software to ensure the accuracy of the geometric structure. The geometric model of the combustion chamber includes the wall, inlet, and outlet regions, and appropriate flow regions are set. According to the set range of gas flow velocity and temperature, configure the inlet boundary conditions: set the flow velocity range to be 10–50m / s. The flow velocity at the inlet can be selected as a fixed value, or a flow velocity profile (such as laminar or turbulent velocity distribution) can be set according to the simulation requirements. The inlet temperature should be set between 300–600K. Different combustion conditions are simulated by setting the inlet temperature. The inlet pressure is generally set to atmospheric pressure, approximately 1.01×10 5 Pa. For gas flow in a conventional environment, keeping the inlet pressure at atmospheric pressure is sufficient. Set the outlet pressure to atmospheric pressure, also 1.01×105 Pa. For the high heat load region, the wall temperature is set between 900–1500 K. This range generally represents the temperature condition of the high heat load region, and the wall temperature has a great influence on the calculation of heat flux and the gas flow scouring path. The non-premixed combustion model is applicable to the situation where gas and oxygen are mixed in the combustion chamber and then burned. When using the non-premixed combustion model in CFD, it is necessary to set the fuel and oxygen mixing ratio of the fuel gas to simulate the process of mixing and burning after the gas flow enters the combustion chamber. The PDF (Probability Density Function) model is used to more accurately simulate the coupling effect between turbulence and combustion. The PDF model can simulate the mixing and reaction process between different gas molecules in turbulent flow and is suitable for complex combustion systems. This model requires the input of the chemical reaction mechanism and related physical properties of the gas. Select an appropriate turbulence model to describe the turbulent characteristics of the gas flow. Commonly used turbulence models include the k−ϵ model or the k−ω model. According to actual requirements, a model suitable for describing the turbulent characteristics in the combustion chamber can be selected. In CFD simulation, ensure the input of the physical properties of the gas (such as density, viscosity, specific heat capacity, etc.), which will affect the flow and heat transfer characteristics, especially the gas state at different temperatures. Set the reaction kinetic model of combustion to determine the reaction rate, chemical mechanism of the combustion process, etc. If the PDF model is used, an appropriate chemical reaction mechanism can be selected (such as the Lagrangian PDF model). Select an appropriate solver for calculation to ensure that the simulation can capture the changes in gas flow, temperature distribution, and the dynamic process of combustion. Generally, a steady-state solution or a transient solution is selected, depending on the simulation objective. Through CFD simulation calculation, obtain the gas flow path, velocity distribution, temperature distribution, and turbulent characteristics in the combustion chamber. Use vector diagrams, streamline diagrams, and isothermal diagrams, etc., to display the flow field and temperature field, and analyze the gas flow characteristics in the high heat load region. Analyze the wall temperature distribution, identify the high heat load region, and determine whether these regions require special attention. By comparing the temperature and flow field data, verify whether the temperature distribution meets the design requirements and evaluate the impact of the flow on wall heat transfer. Based on the flow field results, further calculate the gas flow scouring intensity, identify the regions with larger scouring intensity, and evaluate its impact on the equipment.

[0033] As an example of the present invention, refer to Figure 3 shown. In this example, step S2 includes: Step S21: Obtain the natural gas fuel characteristic data; Step S22: Input the fuel characteristic data into the three-dimensional initial model to construct the simulation boundary conditions for the combustion process, where the boundary conditions include inlet conditions, wall conditions, turbulence models, and combustion models; Step S23: Based on the boundary conditions of the combustion process simulation, perform numerical simulation of the natural gas combustion process on the fuel characteristic data to generate a combustion process simulation dataset, where the numerical simulation of the natural gas combustion process includes the ignition, heat transfer, diffusion, and emission processes of natural gas in three-dimensional space; Step S24: Conduct multi-dimensional quantitative analysis on the combustion process simulation dataset to generate a combustion process evaluation result.

[0034] In the present invention, by obtaining the fuel characteristic data of natural gas (such as components, specific heat capacity, combustion heat, diffusion coefficient, etc.), a true and effective thermophysical property basis is provided for the simulation process, enabling the simulation model to have good physical consistency and engineering reference when describing the combustion behavior of natural gas. Input the fuel characteristic data into the three-dimensional initial model to construct boundary conditions including inlet flow velocity and temperature, wall heat flux, turbulence models (such as k-ε model or LES model), and combustion models (such as non-premixed model, EDC model, etc.), effectively simulate the complex coupling conditions of the real combustion chamber, and significantly improve the prediction accuracy of the combustion behavior. The numerical simulation of natural gas combustion covers the whole process from initial ignition to heat release, mass diffusion until product emission, and can systematically reproduce the multi-field coupling evolution law of heat-flow-mass in the combustion reaction chain, supporting the accurate tracking of core mechanisms such as key heat zones, oxygen dissipation zones, and NO x generation zones. Based on the simulation dataset, multi-dimensional quantitative analysis (including multiple physical quantities such as temperature field, velocity field, combustion efficiency, heat release rate, pollutant concentration, etc.) can comprehensively evaluate the combustion efficiency, heat utilization rate, and environmental impact, output targeted evaluation results, and provide a reliable judgment basis for subsequent model optimization. The multi-dimensional simulation analysis method can reveal the coupling relationship between the structure of the natural gas burner and the combustion performance, provide the parameter sensitivity analysis results and performance bottleneck identification tools for engineers, and thus provide a quantitative optimization direction for design schemes such as nozzle shape, mixing strategy, and heat exchange structure.

[0035] In the embodiments of the present invention, by obtaining the fuel characteristic data of natural gas, including the calorific value, density, specific heat capacity, viscosity, chemical composition (such as methane content, carbon dioxide, nitrogen, oxygen, etc.) of the fuel, and the thermodynamic data of the combustion reaction, these data can usually be obtained through experimental measurements or from the technical manuals of fuel suppliers. Organize the obtained fuel data into a format suitable for input into simulation software. Common formats are CSV, Excel, or JSON files, ensuring that all necessary thermophysical data, chemical composition, and reaction kinetic parameters are included. According to the geometric dimensions of the combustion chamber (set in step S11, for example), use 3D modeling software (such as ANSYS, COMSOL, SolidWorks, etc.) to construct an initial model of the combustion chamber and import this model into the CFD simulation environment (such as ANSYS Fluent, OpenFOAM, etc.). Set the physical and chemical properties of the fuel in the simulation software to ensure that the input natural gas composition and thermophysical data can accurately reflect the actual fuel characteristics. Configure the composition of the fuel, such as the proportions of methane (CH4), ethane (C2H6), propane (C3H8), etc., and select a suitable combustion reaction mechanism based on the combustion characteristics of these components (for example, use a detailed chemical reaction mechanism model). Set the initial conditions such as the gas flow rate, temperature, pressure, etc. For example, set the inlet temperature to 300–600 K, the inlet flow rate to 10–50 m / s, and normal pressure conditions (1.01×10 5Pa). Set the wall heat flux boundary condition. The wall temperature is generally set to the temperature in the high heat load area (900–1500 K). Select an appropriate turbulence model according to the characteristics of the flow, such as the k−ϵ model or the k−ω model. The selected model should be able to accurately capture the turbulence characteristics in the combustion chamber. Select a model suitable for natural gas combustion, such as the non-premixed combustion model (suitable for combustion after fuel and oxygen are mixed) or the PDF model (suitable for complex turbulent combustion). Both models can simulate gas diffusion, ignition, flame propagation, etc. during the combustion process. Simulate the initial ignition process of natural gas and oxygen in the combustion chamber. By setting appropriate initial ignition conditions (such as the location of the ignition source, ignition energy, etc.), simulate the ignition situation of natural gas in the combustion chamber. Based on the combustion model and flow field data, simulate the heat transfer during the combustion process, including radiative heat transfer, convective heat transfer, and conduction. Heat is transferred from the flame and high-temperature gas generated by combustion to the wall of the combustion chamber and further to the surface of the device. Simulate the diffusion behavior of the gas, especially in a turbulent environment, how the fuel gas mixes with oxygen in the air and reacts. Simulate the generation and emission of emissions generated after combustion, such as carbon dioxide, nitrogen oxides (NOx), carbon monoxide (CO), etc. The simulation should consider combustion efficiency, the reaction and transformation of chemical substances during the combustion process. Select an appropriate time step and calculation accuracy, perform steady-state or transient simulation, solve multiple variables such as the flow field, temperature field, and chemical reaction field in the combustion chamber through CFD software, and record the data. Use a numerical solver, such as the finite volume method (FVM) in fluid dynamics, to solve the governing equations. Analyze the temperature distribution during the combustion process, especially the temperature fields in the ignition area, flame propagation path, and the inner wall of the combustion chamber. Based on the temperature distribution, high heat load areas and areas with low heat transfer efficiency can be identified to further optimize the combustion process. Analyze the velocity distribution of the air flow, especially the turbulence characteristics and air flow path in the combustion chamber. Display information such as the air flow direction and velocity magnitude through streamline diagrams and vector diagrams to evaluate whether the air flow distribution during the combustion process is uniform and whether there are adverse flow structures (such as recirculation, eddies, etc.). Evaluate the emissions during the combustion process, including the concentration distributions of carbon dioxide, nitrogen oxides, carbon monoxide, etc. Based on the emission data, further analyze the compliance of combustion efficiency with environmental protection requirements. Calculate the combustion efficiency according to the simulation data and evaluate the utilization degree of heat. Areas with high combustion efficiency usually have higher temperatures and good heat exchange capabilities. Through quantitative analysis of the reaction process in the combustion chamber, evaluate the stability and reaction rate of combustion. Combine the air flow velocity and temperature changes in the combustion chamber to analyze whether the combustion process is stable and whether there are factors causing oscillation or instability.

[0036] Preferably, if the evaluation result of the combustion process in step S3 does not reach the preset combustion efficiency threshold, the coordinated adjustment of the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics includes: If the evaluation result of the combustion process does not reach the preset combustion efficiency threshold, regional combustion anomaly features are extracted from the three-dimensional initial model based on the evaluation result of the combustion process to obtain a collaborative adjustment target parameter set, where the collaborative adjustment target parameter set includes the nozzle outlet velocity and angle deviation, the air-fuel ratio deviation, and the geometric thermal hysteresis zone features; Optimize the curvature of the nozzle internal channel of the nozzle structure in the three-dimensional initial model according to the nozzle outlet velocity and angle deviation to generate nozzle structure adjustment data; Dynamically regulate the fuel mixing parameters in the three-dimensional initial model through the air-fuel ratio deviation to generate fuel dynamic mixing field regulation data; Use the geometric thermal hysteresis zone features to adjust the ratio of the combustion chamber expansion section to the contraction section of the combustion chamber geometry to generate combustion chamber local geometry reconstruction data; Couple and integrate the nozzle structure adjustment data, the fuel dynamic mixing field regulation data, and the combustion chamber local geometry reconstruction data for simulation, and optimize the three-dimensional initial model through the simulation results to obtain a three-dimensional optimized model.

[0037] By extracting local anomaly features based on the evaluation result of the combustion process, the present invention can quickly identify the key regions and their associated physical parameters that cause the decrease in combustion efficiency, establish a collaborative adjustment target parameter set with "nozzle structure - mixing parameters - geometric shape" as the core, and realize the technological leap from "global blind adjustment" to "regional targeted regulation" in the optimization process. Through the quantitative analysis of the nozzle outlet velocity and angle deviation, parametric modeling and reconstruction of the nozzle channel curvature are implemented to optimize the internal streamline distribution, reduce the flow field separation and turbulent dissipation phenomena, thereby improving the fuel injection uniformity and ignition stability, and enhancing the front-end flame anchoring ability. According to the air-fuel ratio deviation, the ratio adjustment and spatial mixing optimization of fuel and combustion-supporting gas are realized, effectively improving the phenomena such as temperature rise hysteresis, flame instability or pollutant increase caused by local rich combustion or lean combustion, ensuring that the air-fuel ratio in the entire combustion space is close to the optimal working range, and improving the heat release uniformity. For the geometric thermal hysteresis zone features, by adjusting the ratio and transition relationship between the combustion chamber expansion section and the contraction section, the reflux disturbance path of the hot air flow can be optimized, local dead zones and high-temperature residual flame aggregation can be weakened, the overall flow connectivity and heat transfer efficiency can be enhanced, and it is helpful for the stable propagation and efficient combustion of the flame. Through the fusion and integration of the nozzle structure adjustment data, the fuel mixing regulation data and the combustion chamber geometry reconstruction data, the simulation coupling analysis of multiple physical fields is carried out, and the parameter linkage optimization can be completed within a unified platform, improving the response efficiency of simulation decision-making and the engineering implementation. The three-dimensional optimized model after collaborative optimization has higher combustion efficiency, lower temperature gradient concentration and better flow-thermal coupling structure, which can provide a solid foundation for subsequent high-precision combustion control modeling and a more realistic simulation reference for engineering design.

[0038] In the embodiments of the present invention, through quantitative analysis of the combustion process evaluation results, special attention is paid to indicators such as combustion efficiency, temperature distribution, and emission concentration. Through these indicators, efficiency bottlenecks or abnormal regions in the combustion process are identified, such as uneven flame propagation, excessive emission concentration, or unstable combustion zones. Based on the evaluation results, each region in the combustion chamber is analyzed in detail to extract combustion anomaly characteristics. For example, the following characteristics can be extracted: identifying problems such as uneven air flow velocity at the nozzle outlet or inconsistent nozzle jet directions. Analyzing the deviation of the fuel-air mixture ratio to identify problems of uneven air or fuel supply. Identifying the presence of thermal stagnation zones in the combustion chamber, that is, regions where air flow and heat accumulation lead to abnormal local temperatures. The above abnormal characteristics are integrated into a set of collaborative adjustment target parameters. This parameter set includes the nozzle outlet velocity and angle deviation, the air-fuel ratio deviation degree, and the geometric thermal stagnation zone characteristics, serving as the basis for adjusting the three-dimensional model. According to the nozzle outlet velocity and angle deviation data, the curvature of the internal channel of the nozzle is optimized. The geometric shape of the nozzle structure is adjusted, including the angle of the nozzle outlet, the jet velocity distribution, and the flow characteristics. The taper, inner wall curvature, or the angle of the nozzle opening of the nozzle can be optimized to improve the uniformity of air flow injection and combustion efficiency. During the optimization process, nozzle structure adjustment data is generated, including the geometric dimensions of the nozzle channel, curvature changes, and outlet angle adjustments, etc. Based on the data of the air-fuel ratio deviation degree, the mixing field of fuel and air is regulated. By introducing dynamic mixing field regulation technology, the mixing method of fuel and air is optimized. The inlet flow rate, pressure, temperature, and other parameters of air and fuel are adjusted to improve the mixing uniformity of fuel and air. Through simulation calculations, fuel dynamic mixing field regulation data is generated, including the adjustment parameters of the mixer, the flow rate distribution of air and fuel, etc. According to the geometric thermal stagnation zone characteristics, the ratio of the expansion section to the contraction section of the combustion chamber is adjusted. By adjusting the shape of the combustion chamber, the formation of thermal stagnation zones is avoided, and the stability of the air flow in the combustion chamber is promoted. Flow guiding devices, such as flow deflectors or vortex generators, are added in the expansion section region of the combustion chamber to help the heat and air flow distribute more evenly. Through the adjustment of the combustion chamber geometric structure, local geometric reconstruction data is generated, including the adjustment parameters of the expansion section and the contraction section, the position of the air flow guiding device, etc. The nozzle structure adjustment data, fuel dynamic mixing field regulation data, and combustion chamber local geometric reconstruction data are integrated. These data are input into the three-dimensional simulation model and coupled and integrated simulation is carried out to evaluate the effect of the optimized combustion process. Through CFD software, multi-physical field coupling simulations such as flow, combustion, and heat transfer are carried out on the optimized three-dimensional model. During the simulation process, key indicators such as combustion efficiency, temperature distribution, and emissions can be analyzed again. Based on the integrated simulation results, the three-dimensional initial model is optimized and adjusted. If the simulation results show that the combustion efficiency meets the standard and the emissions and temperature distribution meet the requirements, the optimized three-dimensional model is finally obtained. After optimization, a three-dimensional optimization model based on collaborative adjustment is obtained, and this model can be used in actual production for more efficient and environmentally friendly natural gas combustion.

[0039] Of particular importance, adjusting the ratio of the combustion chamber expansion section to the contraction section of the combustion chamber geometry using the geometric heat hysteresis zone characteristics further includes: Performing a geometric-fluid joint analysis on the geometric heat hysteresis zone characteristic data, identifying the positions of the expansion section and the contraction section where combustion delay occurs in the corresponding combustion chamber structure paragraphs, and generating combustion chamber key structure section data; Performing local ratio inversion processing on the combustion chamber key structure section data, optimizing the length and area ratio of the expansion section and the contraction section according to the local heat hysteresis intensity, flame propagation speed, and pressure drop distribution, and generating ratio optimization adjustment parameter data; Performing local topological correction processing on the original combustion chamber geometry model data, applying the ratio optimization adjustment parameter data to achieve geometric deformation reconstruction of the expansion section and the contraction section, and generating combustion chamber local geometry reconstruction data; Performing CFD thermal-fluid dual-field coupling simulation on the combustion chamber local geometry reconstruction data, analyzing the flame propagation path, pressure fluctuation, and heat hysteresis behavior of the modified structure, and generating local geometry optimization verification data.

[0040] In the embodiment of the present invention, by inputting geometric heat hysteresis zone characteristic data, including the temperature accumulation region, local flow velocity reduction region, eddy current residue point, fuel accumulation region, etc. during the combustion process. Mapping the heat hysteresis zone characteristics to the three-dimensional combustion chamber geometry model; combining the flow field (velocity vector field) and the temperature field, clustering and boundary positioning the combustion delay regions in the expansion section and the contraction section; judging whether the combustion delay points in the structure fall in the expansion section (flame delay) or the contraction section (reflux stagnation), generating combustion chamber key structure section data, and calibrating the positions of the expansion / contraction sections that need to be structurally adjusted and their local attributes. Establishing a local ratio inversion function group, with the heat hysteresis intensity 、flame propagation speed 、pressure drop as the function inputs, deriving the response surface model of the influence of the structure on the combustion behavior; optimizing the expansion section length 、contraction section length 、cross-sectional area ratio to make the flame propagation smooth, the pressure drop reduced, and the heat hysteresis zone weakened. Preferably, multi-objective optimization can be performed based on the following formula: ; where is the optimized target ratio value, 、 and Generate proportional optimization adjustment parameter data for the corresponding variable feature weights, including the target size and adjustment direction of each section structure. Perform local topological mapping on the original model to identify the control nodes and mesh elements of the expansion section and the contraction section; geometrically deform (stretch, curvature adjustment) the coordinates of the control nodes according to the optimization parameters; reconstruct the new shapes of the expansion section and the contraction section, maintain the channel continuity and transition smoothness, generate the local geometric reconstruction data of the combustion chamber, and reflect the new structure model after geometric shape adjustment. Conduct two-physics field simulations on the reconstructed structure in a CFD platform (such as Ansys Fluent, OpenFOAM); set boundary conditions (nozzle injection velocity, fuel properties, turbulence model, wall heat transfer); apply combustion models (such as EDM, PDF, G-equation) to simulate flame propagation; jointly calculate the thermal field (temperature distribution, heat flux density) and the flow field (velocity, pressure, vorticity); extract key performance indicators: whether the flame propagation path is continuous, whether the main combustion zone is transferred, whether the pressure fluctuation is stable, and whether the thermal hysteresis region is eliminated, to form local geometric optimization verification data for feedback verification of the structure adjustment effect.

[0041] Preferably, couple and integrate the nozzle structure adjustment data, the fuel dynamic mixing field regulation data, and the local geometric reconstruction data of the combustion chamber for simulation, and optimize the three-dimensional initial model through the simulation results, including: Extract multi-scale parameters from the nozzle structure adjustment data to generate jet boundary constraint data; Perform time-segmented modeling on the fuel dynamic mixing field regulation data to generate time-segmented turbulent distribution field data; Perform topological slicing and local feature mapping on the local geometric reconstruction data of the combustion chamber to generate structure analysis domain data; Unify and project the jet boundary constraint data, the time-segmented turbulent distribution field data, and the structure analysis domain data onto a master coordinate system for spatial alignment, unit normalization, and scale adjustment to form unified simulation domain coordinate data; Based on the cross-domain coupling boundary, perform multi-field variable coupling and integrated simulation mapping on the unified simulation domain coordinate data to construct the coupled and integrated simulation results; Optimize the three-dimensional initial model through the coupled and integrated simulation results.

[0042] By separately performing multi-scale extraction, time-series modeling, and feature mapping on the nozzle structure, fuel mixing, and combustion chamber geometry reconstruction data, and constructing unified simulation domain coordinate data, the present invention can achieve collaborative coupling across physical quantities, space-time dimensions, and provide a unified and controllable simulation basis for complex combustion systems. By projecting data from different sources onto the master coordinate system and implementing spatial alignment, unit normalization, and scale adjustment, the problem of simulation distortion caused by inconsistent dimensions and physical units between multi-parameter inputs can be effectively solved, enhancing the consistency of data input and the repeatability of simulations. Implementing time-segmented turbulent modeling on the dynamic mixing field regulation data helps accurately capture the flow perturbation behavior and unsteady fuel distribution patterns at different combustion stages, significantly improving the modeling accuracy of transient flame propagation characteristics, flame entrainment, and other phenomena. Based on the topological slicing and feature mapping of local geometry reconstruction data, a structure analysis domain is constructed, which not only retains the influencing factors of complex boundary shapes on flow and heat exchange but also improves the spatial response simulation ability for high heat retention areas and flow field splitting zones, ensuring the true effectiveness of structural adjustments. Using the coupling conditions between the injection boundary, turbulent field, and geometric domain to construct a multi-physics field simulation mapping can comprehensively simulate the flow-thermal-chemical-structural coupling mechanism during the combustion process and accurately predict key performance indicators such as local combustion instability, temperature peak concentration, and wall thermal stress. By integrating the simulation results to perform feedback optimization on the initial model, precise corrections can be made to the nozzle layout, fuel distribution, and structural dimensions, thereby obtaining a more efficient flame propagation path, more stable combustion behavior, and more balanced heat flow distribution, providing a basis for high-confidence optimized design for engineering applications.

[0043] In the embodiments of the present invention, the internal structure of the nozzle is decomposed into grids according to the geometric dimensions and fluid characteristics in the adjustment data. Key geometric parameters and velocity vector characteristics are extracted at different scales (microchannels, nozzles, flow field influence areas) to generate jet boundary constraint data for defining the jet inlet boundary conditions in subsequent simulations. The dynamic data is segmented and modeled along the time axis (such as a time step of Δt = 0.01 s). For each time period, a fuel-air turbulent mixing model is constructed, and its transient turbulent distribution function is established to form time-segmented turbulent distribution field data to support transient simulation analysis. Using the topological slicing technique, the three-dimensional combustion chamber model is decomposed into multiple local sub-structure units. The geometric characteristics of each sub-structure unit are mapped into physical influence factors (such as pressure drop coefficient, streamline offset factor) to generate structure analysis domain data, reflecting the influence structure of local geometric deformation on the overall flow field. A unified main control coordinate system is established, with the central axis of the nozzle as the Z-axis reference direction. For the jet boundary constraint data, time-segmented turbulent distribution field data, and structure analysis domain data: The spatial positions of the three types of data are corrected using a coordinate mapping matrix, and the length unit (such as mm → m), temperature unit (such as K), and pressure unit (such as Pa) are unified, and interpolation processing is performed on the data to be compatible with the unified grid scale, forming unified simulation domain coordinate data with spatio-temporal consistency and scale compatibility. Based on the unified simulation domain coordinate data, cross-domain coupling boundaries (such as nozzle outlet - combustion core area, fuel mixing area - expansion section boundary) are defined. A multi-field variable (temperature T, velocity V, pressure P, species concentration Ci) cooperative action model is constructed: The control volume is constructed using the finite volume method (FVM); Coupling boundary conditions (such as continuity, momentum conservation, energy transfer) are set; A multi-physics field solver (such as Fluent, OpenFOAM, etc.) is introduced for coupled integrated simulation to obtain a coupled integrated simulation result data set, including flow field, temperature field, chemical reaction rate field, etc. Analyze the heat release rate and temperature field distribution in the combustion area, and perform secondary local optimization on the area with low combustion efficiency. According to the species concentrations of NOx, CO, etc. in the simulation, the air-fuel ratio and turbulent parameters are further calibrated. According to the information on the recirculation area or dead area existing in the simulation flow field, the local geometric structure reconstruction plan of the combustion chamber is iteratively adjusted to generate an optimized three-dimensional model (i.e., a three-dimensional optimized model) with higher combustion efficiency, lower emissions, and more stable flow performance.

[0044] Preferably, step S4 includes the following steps: Step S41: Integrate the three-dimensional optimized model into the combustion control system for actual combustion testing; Step S42: Monitor the flame morphology and temperature field distribution during actual combustion testing through a high-temperature thermal imager to obtain combustion feedback data; Step S43: Analyze the combustion performance of the combustion feedback data, and perform dynamic effect error calibration on the three-dimensional optimization model based on the combustion performance to generate a high-precision three-dimensional simulation model of the natural gas burner.

[0045] In the present invention, by integrating the optimized three-dimensional model into the combustion control system and conducting actual combustion tests, the fitting ability of the simulation model to the real working conditions can be verified, and a closed-loop control system of "model - measurement - feedback - correction" can be constructed, significantly improving the credibility and engineering adaptability of the simulation model. Using a high-temperature thermal imager to conduct full-field dynamic monitoring of the flame shape and temperature field can quickly obtain a high-resolution and high-timeliness thermal distribution map, effectively capturing the real-time change characteristics of the combustion core area, boundary layer, and thermal stagnation area, providing basic data support for subsequent error calibration. Comparing and analyzing the monitored combustion feedback data with the simulation prediction data can identify the deviations of the model in aspects such as flame structure, temperature peak position, heat flux density, etc. By constructing a combustion performance index function, targeted dynamic adjustment of the model parameters can be implemented to achieve error correction and behavior correction. Through continuous iterative correction of the three-dimensional optimization model by the feedback calibration mechanism, the description accuracy of the model for complex combustion behaviors (such as flashback, blowout, local overheating, etc.) can be significantly improved, and finally a high-fidelity three-dimensional simulation model with engineering-level accuracy and control precision can be obtained.

[0046] In the embodiments of the present invention, by converting the three-dimensional optimization model into controllable physical parameters (such as fuel flow rate, ignition position, nozzle angle, etc.), it is imported into the parameter setting module of the combustion control system. A structural device corresponding to the three-dimensional model (such as an adjustable nozzle, modular combustion chamber) is installed on the experimental furnace or industrial test platform. The actual combustion test program is started, and initial conditions consistent with the simulation boundary, such as natural gas flow rate, air volume, preheating temperature, etc., are set. A test combustion device integrating structure and control is formed to achieve the physical restoration of the three-dimensional optimization model and a controllable combustion test environment. An infrared high-temperature thermal imager (temperature measurement range > 2000K, frame rate ≥ 50Hz) is used to perform non-contact real-time monitoring on the combustion flame area. A high-speed industrial camera is used to collect the change process of the flame morphology, and key morphology indicators such as its edge contour, swing frequency, and flame anchoring position are recorded. Monitoring content: Temperature field distribution data: Temperature gradients in the flame core area, edge area, and recirculation area. Flame morphology data: Flame length, width, cone angle, stability fluctuations (spectrum analysis), etc. The data of the temperature sensors on the inner wall of the system and the exhaust gas analyzer are synchronously recorded, including the concentrations of NOx / CO / CH4 and combustion residues. Complete combustion feedback data is formed, including temperature field thermal image maps, flame morphology time series data, combustion stability curves, etc. The thermal imaging data is spatially compared with the simulated temperature field to calculate the temperature deviation in the key area. Image contour analysis is performed on the flame morphology, boundary fitting is performed with the three-dimensional simulated flame structure, and the error area is extracted. By comparing the combustion feedback data with the simulation results, three types of error sources are identified: structural error (geometric reconstruction deviation); dynamic response error (inconsistency in transient mixing and ignition); boundary condition error (inconsistency between the set initial gas temperature / pressure and the actual situation). The reverse error mapping mechanism is adopted to feedback the temperature error distribution and flame morphology deviation to the simulation model; the boundary velocity distribution of the nozzle, the fuel distribution function, and the wall heat conduction parameters are dynamically corrected; the machine learning regression model (such as LSTM or GPR) is used to dynamically compensate and predict the simulation boundary conditions. A three-dimensional simulation model of a high-precision natural gas burner is formed, with an error control within ±3%, and it has the thermal response and structural matching capabilities highly consistent with the actual combustion behavior.

[0047] Preferably, step S41 includes the following steps: Step S411: Start the combustion control system and create an actual combustion test project; import the three-dimensional optimization model into the combustion control system, and input the natural gas fuel characteristic data into the three-dimensional optimization model to generate integrated combustion control model data; Step S412: Set the combustion test parameters in the combustion control system, where the fuel flow rate is set to 10–30 m³ / h, the air flow rate is set to 20–100 m³ / h, the combustion chamber temperature is set to 900–1500 °C, and the combustion duration is set to 600–1800 seconds; generate combustion test parameter setting data; Step S413: Set the parameters for the ignition and preheating stages in the combustion control system, where the ignition energy is 1000 - 1500 J, the preheating temperature is set to 300 - 600 °C, and the preheating time is set to 60 - 180 seconds; generate the ignition and preheating control data; Step S414: Start the combustion control system and begin the actual combustion test process; monitor and record the key data in the combustion system every 10 seconds as a time unit, including: combustion temperature, combustion pressure, fuel / air ratio, and the concentrations of CO / CO2 / NOx in the flue gas, to generate a real-time combustion monitoring data sequence; Step S415: Continuously analyze the feedback signal of the combustion control system; when it is detected that all test parameters meet the set combustion test parameter range and the emission concentration is lower than the set threshold, it is determined that the actual combustion test process is over.

[0048] In the present invention, by importing the three-dimensional optimization model and natural gas fuel characteristic data into the combustion control system to form integrated combustion control model data, seamless connection between simulation modeling and actual control is achieved, significantly improving the combustion test control accuracy and predictability driven by the model. It supports flexible setting of key parameters such as fuel flow rate, air flow rate, combustion chamber temperature, and test time, adapts to the research requirements of combustion behavior under different working conditions, and enhances the engineering adaptability and parameter space exploration ability of the system test. Precise ignition energy, preheating temperature, and preheating time can be set to ensure that the combustion system starts in a stable state, reduce risks such as abnormal ignition or incomplete combustion, and improve the safety and repeatability of the test process. Record multi-dimensional key data including combustion temperature, pressure, air-fuel ratio, flue gas components (CO / CO2 / NOx), etc. every 10 seconds to form a complete real-time combustion monitoring data sequence, providing high-quality input for subsequent data analysis, model calibration, and anomaly diagnosis. The system makes dynamic judgments based on real-time feedback signals and preset control parameters, automatically determines the end of the test when all indicators meet the set range and the pollutant concentration meets the threshold requirements, improves the intelligence and operation efficiency of the test process, reduces human intervention, and ensures the consistency and safety of the experiment. The obtained high-timeliness, full-scale, and structured test data will provide a solid data foundation for subsequent calibration of the three-dimensional simulation model error, further enhancing the model's simulation ability and generalization ability for complex combustion behaviors.

[0049] In the embodiment of the present invention, by starting the combustion control system and creating an actual combustion test project (step S411), the three-dimensional optimization model is imported into the combustion control system, and the natural gas fuel characteristic data is input into the three-dimensional optimization model to generate integrated combustion control model data. Then, combustion test parameters are set in the combustion control system (step S412), where the fuel flow rate is set between 10–30 m³ / h, the air flow rate is set between 20–100 m³ / h, the combustion chamber temperature is set within the range of 900–1500 °C, and the combustion duration is set to 600–1800 seconds to generate combustion test parameter setting data. Subsequently, the parameters for the ignition and preheating stages are set (step S413), the ignition energy is controlled between 1000–1500 J, the preheating temperature is 300–600 °C, and the preheating time is 60–180 seconds, and ignition and preheating control data is generated. After the parameter setting is completed, the combustion control system is started to officially begin the actual combustion test process (step S414). Taking every 10 seconds as a time unit, various key data in the combustion system are continuously monitored and recorded, including combustion temperature, combustion pressure, fuel / air ratio, and the concentrations of CO, CO2, NOx, etc. in the flue gas, thereby generating a combustion real-time monitoring data sequence. Finally, during the test process, the feedback signal of the combustion control system is continuously analyzed (step S415). When it is detected that all test parameters meet the set combustion test parameter range and the emission concentrations are all lower than the set threshold, it is automatically determined that the actual combustion test process ends, and the engineering-level combustion performance verification of the three-dimensional optimization model is completed.

[0050] Particularly importantly, step S43 further includes the following steps: Step S431: Extract the combustion performance parameters of the combustion feedback data, where the combustion performance parameters include flame stability, temperature distribution uniformity, combustion efficiency, and NO x emission trend; Step S432: Conduct a spatio-temporal comparison between the combustion performance index data and the corresponding simulated performance data in the three-dimensional optimization model, extract the error sources and error distribution trends, and generate dynamic effect deviation characteristic data; perform parameter back-substitution correction on the dynamic effect deviation characteristic data to generate model parameter correction data; Step S433: Based on the model parameter correction data, perform dynamic effect error calibration on the three-dimensional optimization model to generate a high-precision three-dimensional simulation model of the natural gas burner.

[0051] In the embodiment of the present invention, by using the high-frequency sampling data processing algorithm to perform multi-dimensional statistics on the combustion feedback data; the following key combustion performance parameters are extracted: Flame stability parameters: including flame shedding frequency, probability of flashback occurrence, and fluctuation of flame anchoring position; Temperature distribution uniformity: temperature difference between cross-sections, amplitude of temperature gradient; Combustion efficiency: unburned carbon concentration, fuel utilization rate; NOx Emission trend: NO per unit mass x Generation rate and peak moment position; the proposed parameters will be standardized into comparable spatio-temporal curve or time series field distribution data to generate a set of combustion performance parameters, providing a comparison benchmark for subsequent error analysis. Register the simulation output and combustion feedback data in the spatial coordinate domain and time axis; extract error terms including: flame anchor point offset distance, temperature uniformity difference field, combustion efficiency deviation rate, NO x Time series peak misalignment; construct an error tensor using the spatio-temporal dynamic error mapping method; identify the sources of deviation: structural errors (nozzle, expansion section), parameter errors (mixing ratio, turbulence intensity); use the mapping relationship between the deviation distribution and structural / control parameters to construct an inverse calibration model; output the control parameters of the simulation model to be adjusted, such as: injection speed correction amount, mixing ratio fine-tuning coefficient, wall heat flux correction factor, etc., to generate dynamic effect deviation characteristic data and model parameter correction data. Input the correction data into the three-dimensional optimization model; perform dynamic parameter reconstruction: recalibrate the nozzle boundary conditions (speed, angle); adjust the reaction rate or eddy dissipation factor in the combustion model; correct the turbulence model boundary scale and heat transfer coefficient in the CFD model; perform a new round of high-precision simulation operations; focus on evaluating whether the error terms have converged to the tolerance range; if not, substitute and iterate again (forming a closed-loop simulation calibration mechanism) to generate a high-precision three-dimensional simulation model of the natural gas burner, which can be used for subsequent control strategy design or structural optimization.

[0052] Therefore, from any perspective, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the application documents are intended to be encompassed within the present invention.

[0053] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features invented herein.

Claims

1. An integrated design method for a three-dimensional simulation model of a natural gas burner gun, characterized in that It includes the following steps: Step S1: Collect the geometric parameters and operating parameters of the natural gas burner to obtain the initial equipment parameter information; Perform laser micro-texturing treatment on the inner surface of the combustion chamber of the natural gas burner to generate periodic micro-groove array data; Based on the initial equipment parameter information and the periodic micro-groove array data, construct a 3D initial model of the natural gas burner through 3D modeling software; Step S2: Obtain the natural gas fuel characteristic data, input the fuel characteristic data into the 3D initial model for combustion process simulation, and conduct multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result; Step S3: Optimize the 3D initial model according to the combustion process evaluation result. If the combustion process evaluation result does not reach the preset combustion efficiency threshold, then coordinately adjust the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics to generate a 3D optimized model; Step S4: Integrate the 3D optimized model into the combustion control system for actual combustion testing, monitor the flame morphology and temperature field distribution through a high-temperature thermal imager, and obtain combustion feedback data; Perform dynamic parameter calibration on the 3D optimized model based on the combustion feedback data to generate a high-precision 3D simulation model of the natural gas burner.

2. The integrated design method for the three-dimensional simulation model of a natural gas burner gun according to claim 1, wherein Step S1 includes the following steps: Step S11: Use multi-source sensors to collect the geometric parameters and operating parameters of the natural gas burner to obtain the initial equipment parameter information; Step S12: Extract the inner surface temperature distribution data of the combustion chamber in the natural gas burner based on the initial equipment parameter information, and conduct an air flow scouring path analysis on the natural gas burner according to the inner surface temperature distribution data of the combustion chamber to generate a high heat load area and a main heat transfer and heat exchange path area, which are uniformly marked as laser micro-texturing priority processing area data; Step S13: Use femtosecond laser pulses to perform laser micro-texturing processing on the inner surface of the combustion chamber of the natural gas burner based on the laser micro-texturing priority processing area data to generate periodic micro-groove array structure data; Step S14: Based on the initial equipment parameter information set and the periodic micro-groove array structure parameter data, construct a 3D initial structure model of the natural gas burner in 3D modeling software, and the construction process includes: Establish the geometric entities of the natural gas burner shell and the combustion channel; Map the periodic micro-groove array to the corresponding area of the inner wall of the combustion chamber; Add operating condition marking points.

3. The integrated design method for the three-dimensional simulation model of a natural gas burner according to claim 2, wherein, The air flow scouring path analysis of the natural gas burner according to the inner surface temperature distribution data of the combustion chamber in Step S12 includes: Perform thermal field reconstruction on the inner surface temperature distribution data of the combustion chamber to obtain the absolute temperature value and spatial thermal gradient change of each surface node, and generate a spatial thermal gradient matrix, where each matrix element contains three-dimensional coordinates and the corresponding temperature derivative value; Conduct thermal gradient distribution partition classification on the inner surface temperature distribution data of the combustion chamber based on the spatial thermal gradient matrix to generate inner and outer surface thermal partition data of the combustion chamber; Set high heat threshold conditions, and use the high heat threshold conditions to conduct regional clustering analysis on the inner and outer surface thermal partition data of the combustion chamber, extract the clustering center and its associated nodes to identify the high heat load area where the heat flow is concentrated; Perform a flow field simulation on the high heat load area, and extract the flow line path and velocity vector distribution of the gas in the combustion chamber; Calculate the erosion intensity coefficient of each wall surface area based on the streamline path and velocity vector distribution to obtain the airflow erosion path intensity map; screen the significant erosion areas of the airflow erosion path intensity map through the set gas erosion threshold to obtain the significant gas erosion areas; Perform spatial matching on the high heat load area and the significant gas erosion area to obtain the main heat transfer and heat exchange path area, and perform an area intersection operation on the high heat load area and the main heat transfer and heat exchange path area, and uniformly mark the area corresponding to the operation result as the laser micro-texture priority processing area data.

4. The integrated design method for the three-dimensional simulation model of a natural gas burner according to claim 3, characterized in that, The flow field simulation of the high heat load area includes: Set the size range of the combustion chamber geometric model to 200–500 mm × 200–500 mm × 200–600 mm, the combustion chamber diameter range to 80–150 mm, the length to 200–400 mm, the gas inlet flow velocity is set between 10–50 m / s, the inlet temperature range is 300–600 K, and the inlet pressure is set to 1.01×10 5 Pa; Set the wall temperature of the high heat load area within the range of 900–1500 K, and set the outlet pressure to 1.01×10 5 Pa, and select the non-premixed combustion model or the PDF model for the combustion model.

5. The integrated design method for the three-dimensional simulation model of a natural gas burner gun according to claim 1, characterized in that, Step S2 includes the following steps: Step S21: Obtain natural gas fuel characteristic data; Step S22: Input the fuel characteristic data into the three-dimensional initial model to construct the combustion process simulation boundary conditions, where the boundary conditions include inlet conditions, wall conditions, turbulence models, and combustion models; Step S23: Perform numerical simulation of the natural gas combustion process on the fuel characteristic data based on the combustion process simulation boundary conditions to generate a combustion process simulation dataset, where the numerical simulation of the natural gas combustion process includes the ignition, heat transfer, diffusion, and emission processes of natural gas in three-dimensional space; Step S24: Perform multi-dimensional quantitative analysis on the combustion process simulation dataset to generate a combustion process evaluation result.

6. The integrated design method for the three-dimensional simulation model of the natural gas burner according to claim 1, characterized in that, In step S3, if the combustion process evaluation result does not reach the preset combustion efficiency threshold, the collaborative adjustment of the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics includes: If the combustion process evaluation result does not reach the preset combustion efficiency threshold, extract the regional combustion abnormal characteristics of the three-dimensional initial model based on the combustion process evaluation result to obtain a collaborative adjustment target parameter set, where the collaborative adjustment target parameter set includes the nozzle outlet velocity and angle deviation, air-fuel ratio deviation, and geometric heat hysteresis zone characteristics; Optimize the curvature of the nozzle internal channel of the nozzle structure in the three-dimensional initial model according to the nozzle outlet velocity and angle deviation to generate nozzle structure adjustment data; Dynamically regulate the fuel mixing field of the fuel mixing parameters in the three-dimensional initial model through the air-fuel ratio deviation to generate fuel dynamic mixing field regulation data; Adjust the ratio of the expansion section to the contraction section of the combustion chamber for the geometric characteristics of the combustion chamber using the geometric heat hysteresis zone characteristics to generate local geometric reconstruction data of the combustion chamber; Couple and integrate the nozzle structure adjustment data, fuel dynamic mixing field regulation data, and local geometric reconstruction data of the combustion chamber for simulation, and optimize the three-dimensional initial model through the simulation results to obtain a three-dimensional optimized model.

7. The integrated design method for the three-dimensional simulation model of the natural gas burner according to claim 6, wherein, Couple and integrate the nozzle structure adjustment data, fuel dynamic mixing field regulation data, and local geometric reconstruction data of the combustion chamber for simulation, and optimize the three-dimensional initial model through the simulation results includes: Extract multi-scale parameters from the nozzle structure adjustment data to generate injection boundary constraint data; Perform time-series segmented modeling on the fuel dynamic mixing field regulation data to generate time-segmented turbulent distribution field data; Perform topological slicing and local feature mapping on the local geometric reconstruction data of the combustion chamber to generate structure analysis domain data; Project the jet boundary constraint data, time-segmented turbulent distribution field data, and structural analysis domain data onto a master coordinate system for spatial alignment, unit normalization, and scale adjustment to form unified simulation domain coordinate data; Based on the cross-domain coupling boundary, perform multi-field variable coupling integration simulation mapping on the unified simulation domain coordinate data to construct a coupled integrated simulation result; Optimize the three-dimensional initial model through the coupled integrated simulation result.

8. The integrated design method for the three-dimensional simulation model of the natural gas burner according to claim 1, wherein Step S4 includes the following steps: Step S41: Integrate the three-dimensional optimized model into the combustion control system for actual combustion testing; Step S42: Monitor the flame morphology and temperature field distribution during actual combustion testing using a high-temperature thermal imager to obtain combustion feedback data; Step S43: Analyze the combustion performance of the combustion feedback data and perform dynamic effect error calibration on the three-dimensional optimized model based on the combustion performance to generate a high-precision three-dimensional simulation model of the natural gas burner.

9. The integrated design method for the three-dimensional simulation model of the natural gas burner according to claim 8, characterized in that, Step S41 includes the following steps: Step S411: Start the combustion control system and create an actual combustion test project; import the three-dimensional optimized model into the combustion control system and input the natural gas fuel characteristic data into the three-dimensional optimized model to generate integrated combustion control model data; Step S412: Set the combustion test parameters in the combustion control system, where the fuel flow rate is set to 10–30 m³ / h, the air flow rate is set to 20–100 m³ / h, the combustion chamber temperature is set to 900–1500 °C, and the combustion duration is set to 600–1800 seconds; generate combustion test parameter setting data; Step S413: Set the ignition and preheating stage parameters in the combustion control system, where the ignition energy is 1000–1500 J, the preheating temperature is set to 300–600 °C, and the preheating time is set to 60–180 seconds; generate ignition and preheating control data; Step S414: Start the combustion control system and begin the actual combustion test process; continuously monitor and record the key data in the combustion system every 10 seconds, including: combustion temperature, combustion pressure, fuel / air ratio, CO / CO2 / NOx concentration in the flue gas, to generate a combustion real-time monitoring data sequence; Step S415: Continuously analyze the combustion control system feedback signal; when it is detected that all test parameters meet the set combustion test parameter range and the emission concentration is lower than the set threshold, it is determined that the actual combustion test process is over.

10. An integrated design system for a three-dimensional simulation model of a natural gas burner gun, characterized in that, For implementing the integrated design method for the three-dimensional simulation model of a natural gas burner as described in claim 1, the integrated design system for the three-dimensional simulation model of a natural gas burner includes: An initial modeling module for collecting the geometric parameters and operating parameters of the natural gas burner to obtain initial equipment parameter information; performing laser micro-texturing treatment on the inner surface of the combustion chamber of the natural gas burner to generate periodic micro-groove array data; constructing a three-dimensional initial model of the natural gas burner through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; A combustion simulation module, which is used to obtain natural gas fuel characteristic data, input the fuel characteristic data into a three-dimensional initial model for combustion process simulation, and conduct multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result; A model optimization module, which is used to optimize the three-dimensional initial model according to the combustion process evaluation result. If the combustion process evaluation result does not reach the preset combustion efficiency threshold, then the nozzle structure, fuel mixing parameters, and combustion chamber geometric characteristics are adjusted collaboratively to generate a three-dimensional optimized model; A parameter calibration module, which is used to integrate the three-dimensional optimized model into the combustion control system for actual combustion tests, monitor the flame morphology and temperature field distribution through a high-temperature thermal imager to obtain combustion feedback data; dynamically calibrate the parameters of the three-dimensional optimized model based on the combustion feedback data to generate a high-precision three-dimensional simulation model of the natural gas burner.

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