Hydrogen energy ultra-low nitrogen burner control method and system based on multistage premixing technology

Abstract

The invention discloses a hydrogen energy ultra-low nitrogen combustor control method and system based on a multi-stage premixing technology, and relates to the related technical field of gas combustor control. The method comprises the steps that a multi-stage premixing area of a hydrogen energy ultra-low nitrogen combustor is determined; respectively carrying out correlation analysis on the combustion stability and the NOx emission amount; monitoring mixed gas components and flame temperature in real time; respectively executing combustion stability improvement and emission reduction optimization based on the multi-stage region monitoring data set; carrying out optimal balance point identification on combustion stability and emission in the multi-stage first optimization space and the multi-stage second optimization space; and controlling the multi-stage premixing area according to the multi-stage optimal combustion parameters. The technical problems that in the prior art, the combustion stability and the NOx emission amount of the hydrogen energy combustor cannot be effectively balanced, and uniform distribution of mixed gas in the multi-stage premixing area is difficult to achieve are solved, and the technical effects that combustion in the multi-stage premixing area is accurately regulated and controlled, efficient and clean combustion of hydrogen energy is achieved, the combustion stability is improved, and the NOx emission amount is reduced are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to gas burner control, and specifically to a hydrogen energy ultra-low nitrogen burner control method and system based on multi-stage premixing technology. Background Art

[0002] As the core equipment for efficient utilization of hydrogen energy, hydrogen burners are widely used in industrial heating, power generation and other fields. However, during the combustion of hydrogen, nitrogen oxides (NO x ) emissions will cause environmental hazards such as acid rain and photochemical smog. Unstable combustion may lead to flame extinction, reduced combustion efficiency and other problems, seriously affecting the safety and economy of the equipment. Traditional gas burner control strategies are difficult to take into account both combustion stability and NO x Optimization of emissions, in pursuit of low NO x When the gas is discharged, the combustion stability is often sacrificed, and vice versa. In addition, the degree of mixing of hydrogen and air directly affects the combustion process. The traditional premixing method cannot meet the requirements of efficient and clean combustion of hydrogen, and it is difficult to achieve uniform distribution of the mixed gas in the combustion area, resulting in local high temperature, which in turn promotes NO x In addition, there is a lack of control over combustion stability and NO x The effective balance of the complex correlation between emissions further increases the difficulty of achieving ultra-low nitrogen emissions and stable combustion.

[0003] Therefore, in the current related technologies, there is an inability to effectively balance the combustion stability of hydrogen burners and NO x It is difficult to achieve uniform distribution of mixed gas in the multi-stage premixing zone. Summary of the Invention

[0004] This application solves the problem in the prior art that the combustion stability of hydrogen burners and NO are not effectively balanced by providing a hydrogen ultra-low nitrogen burner control method and system based on multi-stage premixing technology. x The technical problem of achieving uniform distribution of mixed gas in the multi-stage premixing zone is difficult to solve, which has achieved the goal of accurately controlling the combustion in the multi-stage premixing zone, realizing efficient and clean combustion of hydrogen, improving combustion stability and reducing NO x Technical effects on emissions.

[0005] The present application provides a hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology, the method comprising: determining a multi-stage premixing zone of the hydrogen energy ultra-low nitrogen burner; performing combustion stability and NO x Correlation analysis of emissions to generate multi-level opposing index correlation relationships; real-time monitoring of the mixed gas composition and flame temperature in the multi-level premixing zone to generate a multi-level regional monitoring data set; based on the multi-level regional monitoring data set, respectively perform combustion stability improvement and NOx Emission reduction optimization generates a multi-level first optimization space and a multi-level second optimization space; combustion stability and NO are analyzed in the multi-level first optimization space and the multi-level second optimization space based on the multi-level opposition index correlation relationship. x The optimal balance point of the emission is identified, and the multi-stage optimal combustion parameters are determined; and the multi-stage premixing zone is controlled using the multi-stage optimal combustion parameters.

[0006] In a possible implementation, the hydrogen energy ultra-low nitrogen burner control method based on the multi-stage premixing technology further performs the following processing: determining the regional control variables of the multi-stage premixing zone; for the multi-stage premixing zone, analyzing the correlation between the regional control variables and the combustion stability to obtain the multi-stage first correlation; for the multi-stage premixing zone, analyzing the correlation between the regional control variables and NO x The multi-level first correlation and the multi-level second correlation are aligned in the same region to generate the multi-level opposing indicator association relationship.

[0007] In a possible implementation, the hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology also performs the following processing: the multi-stage premixing zone includes at least a first-stage premixing zone, a second-stage premixing zone and a third-stage premixing zone; wherein the first-stage premixing zone is an ignition and stable combustion zone, the second-stage premixing zone is a flame structure extension zone, and the third-stage premixing zone is a temperature reduction and oxygen control zone of the main combustion zone.

[0008] In a possible implementation, the hydrogen energy ultra-low nitrogen burner control method based on the multi-stage premixing technology further performs the following processing: respectively calculating the combustion stability index and NO according to the multi-stage regional monitoring data set. x Emissions, generate multi-level real-time combustion stability indicators and multi-level real-time NO x Emission indicators; respectively taking the multi-stage real-time combustion stability indicators as the optimization starting point and combustion stability improvement as the optimization goal, perform the control parameter step optimization of the multi-stage premixing zone to generate the multi-stage first optimization space; respectively taking the multi-stage real-time NO x Emission indicators are the starting point for optimization, with NO x With emission reduction as the optimization goal, stepwise optimization of control parameters of the multi-stage premixing zone is performed to generate the multi-stage second optimization space.

[0009] In a possible implementation, the hydrogen-energy ultra-low nitrogen burner control method based on multi-stage premixing technology also performs the following processing: extracting the first-level real-time combustion stability index and the first-level control variable corresponding to the first-level premixing zone; taking the first-level real-time combustion stability index as the optimization starting point, performing step-by-step optimization on the first-level control variable according to a preset unit stability improvement step, generating multiple first-level step optimization degrees and multiple first-level stability improvement indicators; marking the multiple first-level stability improvement indicators with the multiple first-level step optimization degrees to generate a first-level optimization space; and adding the first-level optimization space into the multi-level first optimization space.

[0010] In a possible implementation, the hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology also performs the following processing: based on the correlation relationship of the multi-stage opposing indicators, determining the degree of mutual opposition of indicators in the multi-stage premixing zone, and determining the multi-stage equilibrium point opposition weight distribution; based on the multi-stage equilibrium point opposition weight distribution, identifying the optimal balance point in the multi-stage first optimization space and the multi-stage second optimization space, and determining the multi-stage optimal combustion parameters.

[0011] In a possible implementation, the hydrogen-energy ultra-low nitrogen burner control method based on multi-stage premixing technology also performs the following processing: analyzing the regional dynamic transfer relationship of the multi-stage premixing zone; and performing state transfer optimization of the multi-stage optimal combustion parameters based on the regional dynamic transfer relationship.

[0012] In a possible implementation, the hydrogen ultra-low nitrogen burner control method based on multi-stage premixing technology also performs the following processing: the regional dynamic transfer relationship includes the transfer factor from the first-stage premixing zone to the second-stage premixing zone, and the transfer factor from the second-stage premixing zone to the third-stage premixing zone; the transfer factor includes the flame length, temperature distribution gradient and dilution concentration field.

[0013] In a possible implementation, the hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology further performs the following processing: the multi-stage equilibrium point opposition weight distribution is related to the mutual influence difference of the opposition index, and the mutual influence includes the regulation of combustion stability on NO x The first impact of emissions and NO x The second effect of emission control on combustion stability; calculate the difference between the first and second effects, and if the difference meets the preset consistency deviation, perform combustion stability and NO x Average weight distribution of emissions; if the difference does not meet the preset consistency deviation, combustion stability takes priority over NO x The priority of emissions is the constraint, and a weight adjustment of combustion stability is performed based on the difference.

[0014] The present application also provides a hydrogen energy ultra-low nitrogen burner control system based on multi-stage premixing technology, the system includes: a multi-stage premixing zone determination module for determining the multi-stage premixing zone of the hydrogen energy ultra-low nitrogen burner; a correlation analysis module for performing combustion stability and NO x The correlation analysis of emissions is used to generate a multi-level correlation relationship between opposing indicators; a monitoring data set generation module is used to monitor the mixed gas composition and flame temperature of the multi-level premixing zone in real time to generate a multi-level regional monitoring data set; an optimization space generation module is used to perform combustion stability improvement and NOx reduction based on the multi-level regional monitoring data set. x Emission reduction optimization, generating a multi-level first optimization space and a multi-level second optimization space; an optimal combustion parameter determination module, for performing combustion stability and NO in the multi-level first optimization space and the multi-level second optimization space based on the multi-level opposition index correlation relationship. x Identify the optimal balance point of emissions and determine the multi-stage optimal combustion parameters; a multi-stage premixing zone control module is used to control the multi-stage premixing zone with the multi-stage optimal combustion parameters.

[0015] The multi-stage premixing zone of hydrogen energy ultra-low nitrogen burner is determined by the control method and system of hydrogen energy ultra-low nitrogen burner based on multi-stage premixing technology proposed in this application; combustion stability and NO x Correlation analysis of emissions; real-time monitoring of mixed gas composition and flame temperature; optimization of combustion stability improvement and emission reduction based on multi-level regional monitoring data sets; identification of the optimal balance point between combustion stability and emissions in the first and second optimization spaces of multiple levels; control of multiple premixing zones with multi-level optimal combustion parameters. This solves the problem in existing technologies that hydrogen burners cannot effectively balance combustion stability and NO x The technical problem of achieving uniform distribution of mixed gas in the multi-stage premixing zone is difficult to solve, which has achieved the goal of accurately controlling the combustion in the multi-stage premixing zone, realizing efficient and clean combustion of hydrogen, improving combustion stability and reducing NO x Technical effects on emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the accompanying drawings of the embodiments of the present disclosure are briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in precise order. Instead, various steps may be processed in reverse order or simultaneously as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0017] Figure 1A flow chart of a method for controlling a hydrogen-powered ultra-low nitrogen burner based on multi-stage premixing technology provided in an embodiment of the present application.

[0018] Figure 2 Schematic diagram of the structure of a hydrogen-powered ultra-low nitrogen burner control system based on multi-stage premixing technology provided in an embodiment of the present application.

[0019] Explanation of the reference numerals: multi-stage premixing zone determination module 10 , correlation analysis module 20 , monitoring data set generation module 30 , optimization space generation module 40 , optimal combustion parameter determination module 50 , multi-stage premixing zone control module 60 . DETAILED DESCRIPTION

[0020] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0021] In order to make the purpose, technical solutions and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting this application. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0022] In the following description, reference is made to “some embodiments”, which describes a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict, and the terms “first\second” involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. The terms “including” and “having” and any variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or that are inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. The terms used herein are for the purpose of describing the embodiments of this application only.

[0023] The embodiment of the present application provides a hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology, such as Figure 1 As shown, the method includes: Step S100, determining the multi-stage premixing zone of the hydrogen ultra-low nitrogen burner.

[0024] Step S100 further includes step S110, wherein the multi-stage premixing zone includes at least a primary premixing zone, a secondary premixing zone and a tertiary premixing zone; and step S120, wherein the primary premixing zone is an ignition and stable combustion zone, the secondary premixing zone is a flame structure extension zone, and the tertiary premixing zone is a main combustion zone temperature reduction and oxygen control zone.

[0025] Preferably, the combustion zone of the hydrogen ultra-low nitrogen burner is divided into a multi-stage premixing zone, wherein the multi-stage premixing zone includes at least a primary premixing zone, a secondary premixing zone and a tertiary premixing zone. Specifically, the primary premixing zone is the ignition and stable combustion zone, which is the core area of ​​the burner startup stage and is used to ensure the ignition success rate and initial combustion stability. The primary premixing zone controls the mixing ratio of hydrogen and air (usually the hydrogen concentration is high) to form a fuel-rich mixture that is easy to ignite, thereby reducing the ignition energy requirement and improving the cold start reliability. It is also equipped with a stabilizing combustion device (such as a blunt body, a swirler) to extend the residence time of the mixture by generating a local reflux zone, stabilize the flame root, and prevent flameout or flashback. Although it is a fuel-rich environment, it is in the ignition stage and the temperature is relatively low, which suppresses thermal NO x generate.

[0026] Preferably, the secondary premixing zone is the flame structure extension zone, which is the intermediate transition zone of the combustion process and is used to extend the flame structure and control the combustion rate, which is the key to combustion stability and NO x The control provides a buffer space, introduces secondary air (or fuel) into the secondary premixing zone, and gradually adjusts the mixing ratio to close to the stoichiometric ratio, so that the flame transitions from a fuel-rich state to complete combustion, avoiding local high temperature concentration. At the same time, by controlling the injection angle and speed of the secondary air, the flame shape (such as length, diffusion radius) is guided to avoid the flame scouring the burner wall or forming a hard flame; turbulent mixing is also used to enhance the contact efficiency between fuel and air, and the stability of the flame structure is maintained through the temperature gradient distribution (high in the middle and low at the edge) to prevent the flame from shaking or breaking; avoid local high temperature caused by excessive flame concentration, disperse heat through flame extension, reduce peak temperature, and suppress thermal NO x generate.

[0027] Preferably, the three-stage premixing zone is the main combustion zone, which is the core control area for ultra-low nitrogen combustion and is used to minimize NOx by precise oxygen control and temperature reduction. x To ensure the complete combustion of fuel, the three-stage premixing zone adopts an oxygen-poor environment with excess air coefficient, and dilutes the oxygen concentration by introducing tertiary air (or flue gas recirculation), reduces the oxidation reaction rate, and inhibits fuel-type NO x Thermal NO xFor example, flue gas recirculation is used to introduce some low-temperature flue gas into the main combustion zone, reducing oxygen concentration while absorbing combustion heat, further lowering flame temperature. The cumulative effect of multi-stage premixing also creates a uniform temperature distribution in the main combustion zone, avoiding the formation of "hot spots" (localized high-temperature areas). At the same time, sufficient premixing and turbulent mixing design ensure full contact between hydrogen and air, avoiding incomplete combustion caused by oxygen deficiency, such as the production of pollutants such as CO. Through a three-stage control chain of fuel-rich ignition → precise transition → oxygen-lean main combustion, the combustion process is broken down into multiple controllable stages, achieving precise control of hydrogen-powered ultra-low nitrogen combustion.

[0028] Step S200: performing combustion stability and NO x Correlation analysis of emissions generates multi-level correlation relationships of opposing indicators.

[0029] Step S200 further includes step S210, determining the regional control variables of the multi-stage premixing zone; step S220, analyzing the correlation between the regional control variables and combustion stability in the multi-stage premixing zone to obtain a multi-level first correlation; step S230, analyzing the correlation between the regional control variables and emissions in the multi-stage premixing zone to obtain a multi-level second correlation; step S240, aligning the multi-level first correlation and the multi-level second correlation in the same region to generate the multi-level opposing indicator association relationship.

[0030] Preferably, the combustion stability and NO x The correlation analysis of emissions, specifically, first determine the regional control variables of the multi-stage premixing zone, that is, the control parameters that can be directly adjusted in the multi-stage premixing zone, which are the factors affecting combustion stability and NO x Key emission factors may include but are not limited to the primary premixing zone (hydrogen flow rate, primary air flow rate, stabilization device angle, ignition energy, etc.), the secondary premixing zone (secondary air injection rate, mixing section length, turbulence intensity, etc.), and the tertiary premixing zone (tertiary air flow rate, flue gas recirculation rate, cooling medium flow rate, etc.). Quantify the degree of flame stability to obtain combustion stability indicators, such as the matching degree of flame propagation speed and airflow speed, combustion oscillation frequency and amplitude, and the stability of the flame root anchor position; NO x Emission indicators include NO x The amount of generated (such as mg / Nm³) and its composition (thermal NO x 、Fuel-type NO x proportion), which is affected by factors such as temperature, oxygen concentration, and residence time.

[0031] Preferably, the correlation between regional control variables and combustion stability is then analyzed for the multi-stage premixing zone. Specifically, other variables are fixed in a single premixing zone (such as the first zone), the target control variable is changed, and flame images, combustion pressure fluctuations and other data are collected through sensors (such as high-speed cameras, pressure transmitters). Then, a quantitative relationship between stability indicators and control variables is established through regression analysis, and the key factors affecting stability are identified and determined, and finally the multi-stage first correlation is obtained. The correlation between regional control variables and emissions is analyzed for the multi-stage premixing zone. Specifically, the control variable (such as the flue gas recirculation rate in the third zone) is changed, and NO is measured by a flue gas analyzer. x concentration, and then utilize thermal NO x The exponential relationship with temperature (Arrhenius formula) is used to establish the control variable for NO x The influence relationship generated, for example, the flue gas recirculation rate in the tertiary zone increases, the flame temperature decreases, and NO x Emissions are reduced; fuel-type NO x It is positively correlated with oxygen concentration, so oxygen-poor environment inhibits NO x Generate, and finally obtain multi-level second correlation.

[0032] Preferably, the multi-level first correlation and the multi-level second correlation are aligned in the same region, that is, in the same premixing region, the effects of the control variables on combustion stability and NO x The relationship between the “growth and loss” or “synergy” of emissions, specifically, the same control variable in terms of stability and NO x The correlation results of the two dimensions of emissions are compared horizontally to identify conflict points and synergy points. The conflict point refers to the NOx that is caused by the control variable to improve stability. x Emissions increase, such as the excess air coefficient in the first premixing zone increases, the risk of flashback increases, and NO x Emissions may increase due to more complete combustion; the synergy point is when a control variable improves stability and reduces NO x Emissions, such as the optimization of turbulent mixing in the third zone → more uniform combustion → stable increase and temperature gradient decrease, making NO x Emissions are reduced, and a multi-level correlation relationship of opposing indicators is eventually generated, which makes it easy to adjust the priority of control variables in each region in real time.

[0033] Step S300 , monitoring the mixed gas composition and flame temperature of the multi-stage premixing zone in real time to generate a multi-stage regional monitoring data set.

[0034] Preferably, the mixed gas composition and flame temperature of each premixing zone are monitored in real time by sensors (such as laser gas analyzers, infrared temperature sensors, thermocouples, etc.), wherein the monitored mixed gas composition mainly includes the concentration ratio of hydrogen, oxygen, nitrogen, unburned fuel (such as residual hydrocarbons) and combustion intermediate products, and the flame temperature monitoring refers to the real-time temperature distribution of each premixing zone, especially the peak temperature of the high-temperature area (such as the main combustion zone). Specifically, for the first-level premixing zone (ignition and stable combustion zone), the ignition boundary concentration (such as the flammable limit of hydrogen) and the initial temperature field of the mixed gas are monitored to ensure that the mixed gas concentration is in the stable combustion range at the moment of ignition to avoid ignition failure or deflagration due to concentration fluctuations; for the second-level premixing zone (flame structure extension zone), the flame propagation speed, temperature gradient, and gas turbulence intensity are monitored to analyze whether the flame morphology is evenly extended to avoid excessive flame length or local overheating due to insufficient turbulence, or flame breakage due to excessive turbulence; for the third-level premixing zone (main combustion zone cooling and oxygen control zone), the oxygen concentration, peak temperature, CO and NO are monitored. x Initial generation, by controlling oxygen content and temperature, inhibiting thermal NO x Finally, the monitoring data is combined to form a multi-level regional monitoring data set. When the gas composition or temperature in a certain area exceeds the safety threshold (such as the hydrogen concentration in the first premixing zone is lower than the flammable lower limit), an alarm is immediately triggered and the gas supply parameters are adjusted; and this is also to improve combustion stability and NO x Emission reduction optimization provides raw data to achieve intelligent and precise control of hydrogen burners.

[0035] Step S400: Based on the multi-level regional monitoring data set, combustion stability improvement and NO x Emission reduction optimization generates multi-level first optimization space and multi-level second optimization space.

[0036] Step S400 further includes step S410, which calculates the combustion stability index and NO x Emissions, generate multi-level real-time combustion stability indicators and multi-level real-time NO x Emission indicators; Step S420, respectively taking the multi-level real-time combustion stability indicators as the optimization starting point and combustion stability improvement as the optimization target, performing the control parameter ladder optimization of the multi-level premixing zone to generate the multi-level first optimization space; Step S430, respectively taking the multi-level real-time NO x Emission indicators are the starting point for optimization, with NO x With emission reduction as the optimization goal, stepwise optimization of control parameters of the multi-stage premixing zone is performed to generate the multi-stage second optimization space.

[0037] Preferably, the combustion stability index and NO are calculated based on the multi-level regional monitoring data set. x Specifically, the flame deignition margin (the difference between the upper limit of the safe combustion range and the current mixture ratio), the combustion pressure oscillation standard deviation σ (reflecting the stability fluctuation, the smaller σ, the higher the stability) and the flame image entropy value (the larger the entropy value, the more chaotic the flame shape and the lower the stability) are obtained based on the multi-level regional monitoring data set, and the calculation is carried out. ,in, 、 、 is the weight coefficient, which can be adjusted according to the actual situation. x Concentration (mg / Nm³), thermal NO x proportion (estimated by temperature and oxygen concentration model) and fuel-type NO x Proportion (estimated by fuel nitrogen content and oxygen concentration model), calculated , where δ and ε are penalty coefficients, highlighting different types of NO x control priority.

[0038] Preferably, the multi-stage real-time combustion stability index is used as the optimization starting point, and the combustion stability improvement is used as the optimization goal, and the control parameters of the multi-stage premixing zone are step-by-step optimization. Taking the first-stage premixing zone as an example, assuming that the key control variables are hydrogen flow rate and primary air excess coefficient, in the first step, the primary air excess coefficient is fixed, and only the hydrogen flow rate is increased (such as increasing by 5% each time), and the corresponding stability index is calculated until saturation or constraint conditions are reached (such as hydrogen flow rate ≤ maximum design flow rate); in the second step, the optimized hydrogen flow rate is fixed, the primary air excess coefficient is adjusted (such as reducing it by 0.05 each time), and the corresponding stability index is calculated again until the risk of flashback occurs (such as primary air excess coefficient ≤ safety lower limit); in the cross step, the hydrogen flow rate and the primary air excess coefficient are fine-tuned at the same time, and multiple groups of parameter combinations are generated using the orthogonal test method; then the constraint conditions are set, including the flow upper limit, pressure limit, equipment temperature resistance level, etc. and NO x The concentration must not exceed the current environmental protection standard (such as 30mg / Nm³); finally, the first optimization space is constructed by combining the control parameters of each step and the corresponding stability indicators.

[0039] Preferably, multiple levels of real-time NO x Emission indicators are the starting point for optimization, with NO x With emission reduction as the optimization goal, a stepwise optimization of the control parameters of the multi-stage premixing zone is performed. Taking the three-stage premixing zone as an example, the key control variables are the tertiary air excess coefficient and the flue gas recirculation rate. In the first step, the flue gas recirculation rate is fixed, the tertiary air excess coefficient is increased (for example, by 0.1 each time), and the oxygen concentration is reduced to suppress NO x, while monitoring the combustion stability index (to avoid flameout due to oxygen deficiency); the second step is to fix the optimized tertiary air excess coefficient, increase the flue gas recirculation rate (such as increasing by 5% each time), and use flue gas cooling to further suppress thermal NO x Generate; if a step causes the stability index to be lower than the safety threshold, the parameters are rolled back and the step interval is expanded; set constraints, including that the combustion stability index must not be lower than the minimum safety value and the fuel utilization rate is ≥95% (judged by CO concentration ≤100ppm); finally, the control parameter combination of each step is combined with the corresponding NO x Concentration constructs the second optimization space.

[0040] Furthermore, step S420 also includes step S421, extracting the first-level real-time combustion stability index and the first-level control variable corresponding to the first-level premixing zone; step S422, taking the first-level real-time combustion stability index as the optimization starting point, performing step optimization on the first-level control variable according to a preset unit stability improvement step, and generating multiple first-level step optimization degrees and multiple first-level stability improvement indicators; step S423, marking the multiple first-level stability improvement indicators with the multiple first-level step optimization degrees, and generating a first-level optimization space; step S424, adding the first-level optimization space into the multi-level first optimization space.

[0041] Preferably, a first-level real-time combustion stability index is extracted from the real-time monitoring data set of the first-level premixing zone, reflecting the quantitative value of the flame stability of the current first-level premixing zone, such as the flame stability coefficient and the flameout margin (the difference between the actual air flow velocity and the flame propagation velocity); the first-level control variables, that is, the key adjustable parameters of the first-level premixing zone, such as the hydrogen flow rate and the primary air excess coefficient (the ratio of the actual air volume to the theoretical oxygen demand), are also extracted; the current first-level real-time stability index is set as the optimization starting point, and the first-level control variables are step-by-step optimized according to the preset unit stability improvement step, wherein the optimization target each time is to improve the stability index by 0.05, and according to the single variable principle, the primary air excess coefficient is fixed and adjusted. Adjust the hydrogen flow rate, gradually increase the flow rate and monitor the changes in stability indicators, and then generate multiple first-level step optimization degrees and multiple first-level stability improvement indicators (stability indicator values ​​after actual improvement); then mark the multiple first-level stability improvement indicators with multiple first-level step optimization degrees, that is, associate the first-level step optimization degrees with the corresponding stability improvement indicators to generate a first-level optimization space; finally, add the first-level optimization space to the multi-level first optimization space, where the multi-level first optimization space includes all optimization schemes for the first, second, and third-level premixing zones, thereby realizing a quantitative correlation between the control variable adjustment amplitude and the stability improvement effect, thereby supporting the burner to achieve a dynamic balance between stability and low emissions under complex working conditions.

[0042] Step S500: Combustion stability and NO are calculated in the multi-level first optimization space and the multi-level second optimization space based on the multi-level opposition index correlation relationship. x Identify the optimal balance point of emissions and determine the multi-stage optimal combustion parameters.

[0043] Step S500 further includes step S510, determining the mutual opposition degree of indicators in the multi-stage premixing zone and determining the multi-stage equilibrium point opposition weight distribution based on the multi-stage opposition index correlation relationship; step S520, identifying the optimal equilibrium point in the multi-stage first optimization space and the multi-stage second optimization space based on the multi-stage equilibrium point opposition weight distribution, and determining the multi-stage optimal combustion parameters.

[0044] Preferably, the combustion stability and NO are optimized in the multi-level first optimization space and the multi-level second optimization space by using the multi-level opposition index correlation relationship. x Identify the optimal balance point of emissions. Specifically, within the same area (such as the primary premixing zone), compare the combustion stability index and NO x The changing trend of emission indicators can be used to determine the correlation strength (positive correlation / negative correlation) and the degree of opposition (e.g., when the stability is improved by 10%, NO x If the NO x If the value increases by 20%, the opposition is high), the quantitative value of the opposition between the two indicators in each area is output (for example, the opposition degree of the first-level area is 30%, and the opposition degree of the second-level area is 60%). If the stability of a certain area is x The change range is small (such as the stability improvement leads to NO x Increase ≤ 5%), it is considered that the degree of opposition is low and the weight is evenly distributed; if the change range is large (such as stability improvement leading to NO x Increase ≥15%), according to priority (combustion stability takes precedence over NO x The greater the difference, the higher the stability weight; then the opposing weights of each premixing zone are integrated to form a multi-level equilibrium point opposing weight distribution, which is used to balance the stability improvement and NO x Prioritize emissions reductions.

[0045] Preferably, the optimal balance point is identified in the multi-level first optimization space and the multi-level second optimization space according to the multi-level balance point opposition weight distribution. Specifically, the two sets of optimization parameters (stability orientation and NO x Guide) to make a horizontal comparison and calculate the stability index and NO x The scores on the indicators are then calculated for each group of parameters. For example, a certain parameter combination in the secondary premixing zone improves stability by 20% (weight 70%), xIncrease by 15% (weight 30%), then the comprehensive score = 20% × 70% + (-15%) × 30% = 14% - 4.5% = 9.5%; then, in the optimization space of each premixing zone, select the parameter combination with the highest comprehensive score as the optimal balance point parameter of the zone, while ensuring that the comprehensive performance of the global parameter combination (primary + secondary + tertiary) is optimal (for example, overall stability ≥ 90%, NO x ≤30mg / m³), and finally the optimal control variable combination of each premixing zone is obtained, so that the burner achieves a dynamic balance between stability and low nitrogen emissions.

[0046] Furthermore, step S510 further includes step S511, wherein the multi-level equilibrium point opposition weight distribution is related to the mutual influence difference of the opposition indicators, and the mutual influence includes the regulation of combustion stability on NO x The first impact of emissions and NO x The second effect of emission adjustment on combustion stability; Step S512, calculate the difference between the first effect and the second effect, if the difference meets the preset consistency deviation, execute combustion stability and NO x Average weight distribution of emissions; Step S513, if the difference does not meet the preset consistency deviation, combustion stability is prioritized over NO x The priority of emissions is the constraint, and a weight adjustment of combustion stability is performed based on the difference.

[0047] Preferably, the interaction includes the regulation of combustion stability on NO x The first impact of emissions, that is, when the stability index changes by 1%, NO x The magnitude of changes in emissions, and NO x The second effect of emission control on combustion stability is NO x The change range of the stability index when the emission changes by 1mg / Nm³; then calculate the difference between the first and second effects and compare it with the preset consistency deviation, where the preset consistency deviation is a threshold to measure whether the first and second effects are symmetrical, usually set to a small value close to 0. If the difference meets the preset consistency deviation, it means that the combustion stability and NO x If the mutual influence of emissions is balanced, the average weight distribution is performed; if the difference does not meet the preset consistent deviation, it means that the mutual influence is unbalanced, and combustion stability takes priority over NO x The priority of emissions is constrained, and the weight of combustion stability is adjusted, that is, the weight distribution is tilted towards stability to avoid combustion out of control due to excessive pursuit of low emissions.

[0048] Furthermore, step S520 further includes step S521, analyzing the regional dynamic transfer relationship of the multi-stage premixing zone; and step S522, performing state transfer optimization of the multi-stage optimal combustion parameters based on the regional dynamic transfer relationship.

[0049] Step S521 further includes that the regional dynamic transfer relationship includes a transfer factor from the primary premixing zone to the secondary premixing zone, and a transfer factor from the secondary premixing zone to the tertiary premixing zone; the transfer factors include flame length, temperature distribution gradient and dilution concentration field.

[0050] Preferably, the regional dynamic transfer relationship of the multi-stage premixing zone means that during the operation of the hydrogen burner, the combustion state of the multi-stage premixing zone (primary, secondary, and tertiary) is not fixed, but is dynamically associated and influenced by factors such as load, fuel characteristics, and environmental conditions, including the transfer factor from the primary premixing zone to the secondary premixing zone, and the transfer factor from the secondary premixing zone to the tertiary premixing zone, wherein the transfer factors include flame length (the distance from the flame front in the premixing zone from the combustion starting point to the flame end, reflecting the spatial range of the combustion reaction), temperature distribution gradient (the temperature change rate along the spatial position in the premixing zone) and dilution concentration field (the concentration distribution of the diluent in the premixing zone); the transfer from the primary premixing zone to the secondary premixing zone refers to the combustion products (such as high-temperature gas, incompletely burned fuel) of the primary premixing zone entering the secondary premixing zone, affecting its mixed gas composition and combustion conditions; the transfer from the secondary premixing zone to the tertiary premixing zone refers to the combustion state (such as flame morphology, temperature distribution) of the secondary premixing zone being transferred to the tertiary premixing zone, determining its combustion efficiency and pollutant generation. For example, when the burner switches from low load to full load, the increase in hydrogen flow in the first-stage premixing zone may cause the concentration of the mixed gas to increase and the flame root position to move upward, thereby affecting the flame propagation speed and turbulence intensity in the second-stage premixing zone; the adjustment of the flue gas recirculation rate in the third-stage premixing zone will change the temperature field in the main combustion zone, and may react on the preheating degree of the mixed gas in the second-stage premixing zone through heat conduction.

[0051] Preferably, the state transfer optimization of multi-level optimal combustion parameters is performed based on the regional dynamic transfer relationship, that is, the optimal combustion parameters are adjusted in real time to ensure combustion stability and NO x Emissions are always within the target range. Specifically, the state variables of each region are collected in real time through a sensor network (such as infrared temperature field monitoring, laser gas analyzer), and the dynamic influence coefficients between regions are calculated (such as the effect of temperature changes in the secondary region on NO in the tertiary region). x Based on the current operating conditions, the model predictive control (MPC) or dynamic programming (DP) algorithm is used to generate the optimal state transfer trajectory of the multi-stage premixing zone (such as the temperature and concentration change curves of each zone over time); then, according to the state transfer trajectory, the control variables are collaboratively optimized across regions to achieve dynamic matching of stable combustion in the first-level zone, flame transmission in the second-level zone, and control and exhaust in the third-level zone, and a real-time error compensation mechanism is established: the deviation between the actual state variable and the predicted trajectory is input into the PID controller, and the control parameters are dynamically corrected to ensure that the state transfer is carried out according to the planned path.

[0052] Step S600: Controlling the multi-stage premixing zone with the multi-stage optimal combustion parameters.

[0053] Preferably, the multi-level optimal combustion parameters are decomposed into the premixing zones at each level, and a parameter-zone mapping relationship is established. For example, the control parameters of the first-level premixing zone are the fuel-air mixture ratio and flow rate, and the optimization goal is to stabilize the flame root and avoid backfire / deignition; the control parameters of the second-level premixing zone include the temperature gradient and the dilution concentration field setting value, and the optimization goal is to balance the combustion efficiency and NO x generation; the control parameters of the three-stage premixing zone include secondary air injection volume and mixing intensity; the optimization goal is to reduce NO x concentration, control the uniformity of temperature distribution. The sensors collect the operating data of each premixing zone in real time (such as temperature, pressure, flame image, NO x concentration, etc.), compare the measured data with the target values ​​of the multi-level optimal parameters, calculate the deviation, and then automatically adjust the control variables of each premixing zone according to the deviation (such as adjusting the fuel valve opening, fan speed, dilution air volume, etc.); at the same time, consider the dynamic transfer relationship between premixing zones, coordinate the parameter adjustment of different levels, and then achieve refined control of the hydrogen burner and efficient, stable and low-pollution operation through precise control of multi-level optimal parameters.

[0054] In the above, refer to Figure 1 The control method of hydrogen energy ultra-low nitrogen burner based on multi-stage premixing technology according to the embodiment of the present invention is described in detail. Figure 2 A hydrogen-powered ultra-low nitrogen burner control system based on multi-stage premixing technology according to an embodiment of the present invention is described.

[0055] The hydrogen energy ultra-low nitrogen burner control system based on the multi-stage premixing technology according to the embodiment of the present invention is used to solve the problem that the prior art cannot effectively balance the combustion stability of the hydrogen energy burner and the NO x The technical problem of achieving uniform distribution of mixed gas in the multi-stage premixing zone is difficult to solve, which has achieved the goal of accurately controlling the combustion in the multi-stage premixing zone, realizing efficient and clean combustion of hydrogen, improving combustion stability and reducing NO x The technical effect of emissions. Figure 2 As shown, the hydrogen energy ultra-low nitrogen burner control system based on multi-stage premixing technology includes: a multi-stage premixing zone determination module 10, a correlation analysis module 20, a monitoring data set generation module 30, an optimization space generation module 40, an optimal combustion parameter determination module 50, and a multi-stage premixing zone control module 60.

[0056] The multi-stage premixing zone determination module 10 is used to determine the multi-stage premixing zone of the hydrogen ultra-low nitrogen burner; the correlation analysis module 20 is used to analyze the combustion stability and NO xThe correlation analysis of the emission volume generates a multi-level correlation relationship between opposing indicators; the monitoring data set generation module 30 is used to monitor the mixed gas composition and flame temperature of the multi-level premixing zone in real time to generate a multi-level regional monitoring data set; the optimization space generation module 40 is used to perform combustion stability improvement and NOx reduction based on the multi-level regional monitoring data set. x Emission reduction optimization generates a multi-level first optimization space and a multi-level second optimization space; an optimal combustion parameter determination module 50 is used to perform combustion stability and NO in the multi-level first optimization space and the multi-level second optimization space based on the multi-level opposition index correlation relationship. x Identify the optimal balance point of emissions and determine the multi-stage optimal combustion parameters; a multi-stage premixing zone control module 60 is used to control the multi-stage premixing zone with the multi-stage optimal combustion parameters.

[0057] The specific configuration of the correlation analysis module 20 will be described in detail below. The correlation analysis module 20 further includes: determining the regional control variables of the multi-stage premixing zone; analyzing the correlation between the regional control variables and the combustion stability of the multi-stage premixing zone to obtain a multi-stage first correlation; analyzing the regional control variables and NO x The multi-level first correlation and the multi-level second correlation are aligned in the same region to generate the multi-level opposing indicator association relationship.

[0058] The specific configuration of the multi-stage premixing zone determination module 10 will be described in detail below. The multi-stage premixing zone determination module 10 further includes: the multi-stage premixing zone includes at least a primary premixing zone, a secondary premixing zone, and a tertiary premixing zone; wherein the primary premixing zone is the ignition and combustion stabilization zone, the secondary premixing zone is the flame structure extension zone, and the tertiary premixing zone is the primary combustion zone temperature reduction and oxygen control zone.

[0059] The specific configuration of the optimization space generation module 40 will be described in detail below. The optimization space generation module 40 further includes: calculating the combustion stability index and NO respectively according to the multi-level regional monitoring data set. x Emissions, generate multi-level real-time combustion stability indicators and multi-level real-time NO x Emission indicators; respectively taking the multi-stage real-time combustion stability indicators as the optimization starting point and combustion stability improvement as the optimization goal, perform the control parameter step optimization of the multi-stage premixing zone to generate the multi-stage first optimization space; respectively taking the multi-stage real-time NO x Emission indicators are the starting point for optimization, with NO x With emission reduction as the optimization goal, stepwise optimization of control parameters of the multi-stage premixing zone is performed to generate the multi-stage first optimization space.

[0060] The specific configuration of the optimization space generation module 40 will be described in detail below. The optimization space generation module 40 further includes: extracting a first-level real-time combustion stability indicator and a first-level control variable corresponding to the first-level premixing zone; using the first-level real-time combustion stability indicator as the optimization starting point, performing step-by-step optimization on the first-level control variable according to a preset unit stability improvement step size to generate multiple first-level step-by-step optimization degrees and multiple first-level stability improvement indicators; labeling the multiple first-level stability improvement indicators with the multiple first-level step-by-step optimization degrees to generate a first-level optimization space; and adding the first-level optimization space to the multi-level first optimization space.

[0061] The specific configuration of the optimal combustion parameter determination module 50 will be described in detail below. The optimal combustion parameter determination module 50 further includes: determining the degree of mutual opposition between the indicators in the multi-stage premixing zone based on the multi-stage opposing indicator correlation relationship, and determining the multi-stage equilibrium point opposition weight distribution; identifying the optimal equilibrium point in the multi-stage first optimization space and the multi-stage second optimization space based on the multi-stage equilibrium point opposition weight distribution, and determining the multi-stage optimal combustion parameters.

[0062] The following will further describe the specific configuration of the optimal combustion parameter determination module 50. The optimal combustion parameter determination module 50 further includes: analyzing the regional dynamic transfer relationship of the multi-stage premixing zone; and performing state transfer optimization of the multi-stage optimal combustion parameters based on the regional dynamic transfer relationship.

[0063] The specific configuration of the optimal combustion parameter determination module 50 will be described in detail below. The optimal combustion parameter determination module 50 further includes: extracting a first vibration separation decision based on the vibration separation decision set; performing a vibration separation prediction on the stacked logistic object based on the first vibration separation decision to obtain a first decision separation prediction result, the first decision separation prediction result including a first predicted separation rate and a first predicted separation efficiency; if the first decision separation prediction result satisfies the separation expectation bilateral constraint, adding the first vibration separation decision to the vibration separation optimization set; and if the first decision separation prediction result does not satisfy the separation expectation bilateral constraint, eliminating the first vibration separation decision.

[0064] The specific configuration of the optimal combustion parameter determination module 50 will be described in detail below. The optimal combustion parameter determination module 50 further includes: the multi-level equilibrium point opposition weight distribution is related to the mutual influence difference of the opposition index, and the mutual influence includes the adjustment of combustion stability to NO x The first impact of emissions and NO x The second effect of emission control on combustion stability; calculate the difference between the first and second effects, and if the difference meets the preset consistency deviation, perform combustion stability and NO xAverage weight distribution of emissions; if the difference does not meet the preset consistency deviation, combustion stability takes priority over NO x The priority of emissions is the constraint, and a weight adjustment of combustion stability is performed based on the difference.

[0065] The hydrogen-energy ultra-low nitrogen burner control system based on multi-stage premixing technology provided in an embodiment of the present invention can execute the hydrogen-energy ultra-low nitrogen burner control method based on multi-stage premixing technology provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0066] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present invention.

[0067] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the scope of protection of this application.

Claims

1. A hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology is characterized in that: include: Determine the multi-stage premixing zone of hydrogen ultra-low nitrogen burner; The combustion stability and NO x Correlation analysis of emissions to generate multi-level correlation relationships between opposing indicators; Real-time monitoring of the mixed gas composition and flame temperature in the multi-stage premixing zone to generate a multi-stage regional monitoring data set; Combustion stability improvement and NO x Emission reduction optimization generates multi-level first optimization space and multi-level second optimization space; The combustion stability and NO are calculated in the multi-level first optimization space and the multi-level second optimization space according to the multi-level opposition index correlation relationship. x Identify the optimal balance point of emissions and determine the multi-stage optimal combustion parameters; Control of the multi-stage premixing zone is performed with the multi-stage optimal combustion parameters.

2. The hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to claim 1 is characterized in that: The combustion stability and NO x Correlation analysis of emissions generates multi-level correlation relationships between opposing indicators, including: determining a regional control variable of the multi-stage premixing zone; For the multi-stage premixing zone, analyzing the correlation between the regional control variables and the combustion stability to obtain a multi-stage first correlation; For the multi-stage premixing zone, the regional control variables and NO x The correlation of emissions,multilevel second correlation was obtained; The multi-level first correlation and the multi-level second correlation are aligned in the same region to generate the multi-level opposing indicator association relationship.

3. The hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to claim 1 is characterized in that: The multi-stage premixing zone includes at least a primary premixing zone, a secondary premixing zone and a tertiary premixing zone; Among them, the first-level premixing zone is the ignition and stable combustion area, the second-level premixing zone is the flame structure extension area, and the third-level premixing zone is the temperature reduction and oxygen control area of ​​the main combustion area.

4. The hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to claim 1 is characterized in that: Combustion stability improvement and NO x Emission reduction optimization generates multi-level first optimization space and multi-level second optimization space, including: The combustion stability index and NO are calculated based on the multi-level regional monitoring data set. x Emissions, generate multi-level real-time combustion stability indicators and multi-level real-time NO x Emission indicators; Taking the multi-stage real-time combustion stability index as the optimization starting point and combustion stability improvement as the optimization goal, performing stepwise optimization of the control parameters of the multi-stage premixing zone to generate the multi-stage first optimization space; The multi-level real-time NO x Emission indicators are the starting point for optimization, with NO x With emission reduction as the optimization goal, stepwise optimization of control parameters of the multi-stage premixing zone is performed to generate the multi-stage second optimization space.

5. The hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to claim 4 is characterized in that: Taking the multi-stage real-time combustion stability index as the optimization starting point and combustion stability improvement as the optimization goal, performing stepwise optimization of the control parameters of the multi-stage premixing zone to generate the multi-stage first optimization space includes: Extract the first-level real-time combustion stability index and the first-level control variables corresponding to the first-level premixing zone; Taking the first-level real-time combustion stability index as an optimization starting point, performing step optimization on the first-level control variable according to a preset unit stability improvement step, and generating a plurality of first-level step optimization degrees and a plurality of first-level stability improvement indexes; Marking the plurality of first-level stability improvement indicators with the plurality of first-level step optimization degrees to generate a first-level optimization space; The first-level optimization space is added to the multi-level first optimization space.

6. The hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to claim 1 is characterized in that: The combustion stability and NO are calculated in the multi-level first optimization space and the multi-level second optimization space according to the multi-level opposition index correlation relationship. x Identify the optimal balance point of emissions and determine the optimal multi-stage combustion parameters, including: Based on the correlation relationship of the multi-level opposing indicators, determining the mutual opposition degree of the indicators of the multi-level premixing zone, and determining the opposition weight distribution of the multi-level balance point; Based on the multi-level balance point opposition weight distribution, the optimal balance point is identified in the multi-level first optimization space and the multi-level second optimization space to determine the multi-level optimal combustion parameters.

7. The hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to claim 6 is characterized in that: Determining the multi-stage optimal combustion parameters further includes: Analyzing the regional dynamic transfer relationship of the multi-stage premixing zone; The state transition optimization of the multi-level optimal combustion parameters is performed based on the regional dynamic transition relationship.

8. The hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to claim 7 is characterized in that: The regional dynamic transfer relationship includes the transfer factor from the primary premixing zone to the secondary premixing zone, and the transfer factor from the secondary premixing zone to the tertiary premixing zone; Transfer factors include flame length, temperature distribution gradient and dilution concentration field.

9. The hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to claim 6 is characterized in that: Determine the opposing weight distribution of multiple equilibrium points, including: The multi-level equilibrium point opposition weight distribution is related to the difference in mutual influence of the opposing indicators, including the regulation of combustion stability on NO x The first impact of emissions and NO x Secondary impact of emissions adjustments on combustion stability; Calculate the difference between the first and second impacts. If the difference meets the preset consistency deviation, perform combustion stability and NO x average weighted distribution of emissions; If the difference does not meet the preset consistency deviation, combustion stability takes priority over NO x The priority of emissions is the constraint, and a weight adjustment of combustion stability is performed based on the difference.

10. The hydrogen energy ultra-low nitrogen burner control system based on multi-stage premixing technology is characterized by: The system is used to implement the hydrogen energy ultra-low nitrogen burner control method based on multi-stage premixing technology according to any one of claims 1 to 9, and the system includes: Multi-stage premixing zone determination module, used to determine the multi-stage premixing zone of the hydrogen ultra-low nitrogen burner; Correlation analysis module, used to analyze combustion stability and NO x Correlation analysis of emissions to generate multi-level correlation relationships between opposing indicators; A monitoring data set generation module is used to monitor the mixed gas composition and flame temperature of the multi-stage premixing zone in real time and generate a multi-stage regional monitoring data set; Optimization space generation module, for performing combustion stability improvement and NO x Emission reduction optimization generates multi-level first optimization space and multi-level second optimization space; The optimal combustion parameter determination module is used to determine the combustion stability and NO in the multi-level first optimization space and the multi-level second optimization space based on the multi-level opposition index correlation relationship. x Identify the optimal balance point of emissions and determine the multi-stage optimal combustion parameters; The multi-stage premixing zone control module is used to control the multi-stage premixing zone with the multi-stage optimal combustion parameters.

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