A method and system for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance

Abstract

The present application belongs to the field of aero-engine combustion and control technology, and provides a hydrogen micro-mixing nozzle array supply imbalance online identification and grouping compensation correction method and system. The method comprises: dividing the hydrogen micro-mixing nozzle array into multiple nozzle groups that can independently adjust the hydrogen supply amount, establishing a reference mapping relationship between the hydrogen supply state of each nozzle group and the sparse response signal; calculating a combustion state evaluation index through the real-time monitored sparse response signal, and triggering an online identification process when the index exceeds a preset threshold; applying an identification excitation to the nozzle group with supply imbalance, and collecting the change characteristics of the sparse response signal before and after the excitation; based on the reference mapping relationship and the change characteristics, the position, imbalance direction and imbalance degree of the abnormal nozzle group are determined through inversion calculation; under the condition of satisfying the total hydrogen supply amount conservation constraint, the compensation adjustment amount is calculated and grouping compensation correction is performed. The present application can realize online identification and directional compensation of local supply imbalance, and improve the nozzle array supply uniformity and combustion stability.

Description

Technical Field

[0001] This invention belongs to the field of aero-engine combustion and control technology, and relates to a method and system for online identification and group compensation correction of hydrogen micro-mixing nozzle array supply imbalance. The method and system are applicable to aero-engine gas turbine engines and other combustion systems that adopt hydrogen micro-mixing combustion organization. Background Technology

[0002] Against the backdrop of the development of green aviation power and low-carbon combustion technologies, hydrogen fuel has attracted widespread attention due to its carbon-free composition, clean combustion products, and high reactivity. For aero gas turbine engines, achieving efficient combustion of hydrogen fuel while meeting stable combustion, safety, and emission requirements is one of the important directions for current combustion chamber technology development. Micro-mixing combustion technology introduces fuel and air into multiple small-scale injection and mixing units, forming short, dispersed diffusion flames in localized areas. This helps reduce the volume of local high-temperature zones and suppress nitrogen oxide formation, thus becoming an important technical route for hydrogen combustion applications.

[0003] However, hydrogen micro-mixing combustors typically contain a large number of small, densely arranged nozzles or mixing units, and their performance is highly sensitive to the uniformity of the supply between nozzles. Studies have shown that increasing the number of nozzles in a micro-mixing combustor leads to greater flow resistance and makes achieving uniform air distribution more difficult. In practical engineering, manufacturing deviations, local blockages, differences in branch resistance, service degradation, and localized carbon buildup or foreign matter deposition can all cause the hydrogen supply, local equivalence ratio, or injection momentum of some nozzles or nozzle groups to deviate from the design parameters. While these local imbalances may not immediately lead to overall failure, they often result in a deterioration in outlet temperature distribution, enhanced local hot spots, reduced combustion stability margin, and even induce subsequent abnormal combustion organization.

[0004] To address the issues of micro-hybrid combustion and its supply regulation, several improvement schemes have been proposed. For example, setting up multiple independent fuel chambers or dividing the micro-hybrid injection surface into zones can improve fuel distribution across different nozzle areas; temperature, pressure, or flame detection sensors can be placed at the nozzle or burner location to monitor combustion status; and nozzle blockage, flow deviation, or temperature distortion can be determined by comparing changes in nozzle flow rate, outlet temperature distribution, or exhaust temperature, and fuel regulation can be implemented accordingly. Existing solutions have made some progress in nozzle structure design, grouped supply, local monitoring, and fault diagnosis.

[0005] However, existing technologies still have the following shortcomings: First, many solutions focus on nozzle structure design or static allocation methods, making it difficult to identify local imbalances that occur dynamically during operation online; second, some solutions rely on nozzle-by-nozzle measurement, disassembly and testing, or single-point diagnosis under specific operating conditions, which are difficult to apply to micro-mixing array scenarios with a large number of nozzles and limited measurement points; third, most existing monitoring and adjustment methods focus on the overall temperature field, total flow rate, or single nozzle anomalies, and there is still a lack of a technical solution for online positioning and directional compensation correction of abnormal nozzle groups under sparse measurement conditions. Summary of the Invention

[0006] The purpose of this invention is to solve the technical problems of difficulty in direct observation and real-time location caused by the large number of nozzles, compact spatial arrangement, and local supply imbalance in existing hydrogen micro-mixing combustion systems. It provides a method and system for online identification and group compensation correction of supply imbalance in hydrogen micro-mixing nozzle arrays.

[0007] The method of this invention addresses the potential local supply imbalance problem that may occur in hydrogen micro-hybrid nozzle arrays during operation. By utilizing response signals obtainable under limited measurement conditions, it identifies and judges the degree of imbalance of nozzle groups that are abnormal during operation online. Without changing the basic structure of the combustion system, it implements directional supply compensation for the corresponding nozzle groups, thereby improving the uniformity of nozzle array supply, improving the temperature distribution at the combustion chamber outlet, reducing the risk of local hot spots, and enhancing the stability and controllability of the micro-hybrid combustion system during operation.

[0008] Furthermore, this invention aims to overcome the shortcomings of existing technologies that rely on nozzle-by-nozzle measurement, offline detection, or single total signal analysis for nozzle anomaly detection, and establishes an array-level online identification technology path suitable for multi-nozzle, sparse measurement point conditions. By dividing the nozzle array into independently adjustable nozzle groups and combining preset identification excitation and response feature analysis, the abnormal nozzle groups can be located and corrected, enabling this method to be applied to the operation regulation and health management of hydrogen micro-mixing combustion chambers under engineering feasible conditions.

[0009] Specifically, the technical solution for achieving the objective of this invention is as follows:

[0010] In a first aspect, the present invention discloses an online identification and grouping compensation correction method for hydrogen micro-mixing nozzle array supply imbalance, the method comprising the following steps: S1. Divide the hydrogen micro-mixing nozzle array into multiple nozzle groups with independently adjustable hydrogen supply, and establish a benchmark mapping relationship between the hydrogen supply status of each nozzle group and the sparse response signal. S2. Calculate the combustion status evaluation index of each nozzle group through real-time monitoring of sparse response signals. When the combustion status evaluation index exceeds the preset threshold, it is determined that there is a supply imbalance and the online identification process is triggered. S3. In the online identification process, a controlled identification excitation is applied to the nozzle group that is determined to have a supply imbalance, and the change characteristics of the sparse response signal before and after the identification excitation are collected. S4. Determine the location, imbalance direction, and degree of imbalance of the abnormal nozzle group by solving the constrained inversion optimization model; S5. Based on the imbalance direction and degree of the abnormal nozzle group, and under the condition of satisfying the constraint of the total hydrogen supply of the combustion system, calculate the compensation adjustment amount of each nozzle group and perform group compensation correction.

[0011] In one embodiment of step S1, establishing a baseline mapping relationship between the hydrogen supply state of each nozzle group and the rarefaction response signal includes: S11. Under steady-state conditions, calibration perturbations are applied to each of the nozzle groups in sequence, and the changes in hydrogen supply and corresponding sparse response signals of each nozzle group are recorded simultaneously. S12. Based on the change in hydrogen supply and the corresponding change in sparse response signal, construct a reference response matrix with nozzle group as input and sparse response signal as output, as the reference mapping relationship.

[0012] In one embodiment of step S2, the combustion state evaluation index of each nozzle group is calculated using the sparse response signal monitored in real time, including: S21. Calculate the outlet temperature non-uniformity index based on outlet temperature measurement point data, and extract the pressure pulsation amplitude or pressure pulsation energy spectrum characteristics through dynamic pressure sensor data. S22. When at least one of the outlet temperature non-uniformity index, the pressure pulsation amplitude, and the pressure pulsation energy spectrum characteristics exceeds its corresponding threshold, it is determined that the combustion state evaluation index exceeds the preset threshold.

[0013] In one embodiment of step S3, a controlled identification stimulus is applied to the nozzle group that is determined to have a supply imbalance, in at least one of the following ways: S31. Select the nozzle group that is determined to have a supply imbalance as a candidate nozzle group, and apply a step-type opening disturbance to the hydrogen supply regulating valve of the candidate nozzle group. S32. Apply the identification excitation to each candidate nozzle group in a preset polling order, and set a preset recovery waiting time between two adjacent excitations; S33. While applying the identification excitation, record the valve opening change and actual flow feedback of the corresponding candidate nozzle group as input feature quantities of the identification excitation in the subsequent inversion calculation.

[0014] In another embodiment of step S3, the change characteristics of the sparse response signal before and after the identification excitation are collected, including: S34. Before applying the identification stimulus, the sparse response signal is collected as a reference signal before the stimulus. S35. After applying the identification stimulus, the sparse response signal after the stimulus is acquired, and the difference between the sparse response signal after the stimulus and the reference signal before the stimulus is calculated as the change feature.

[0015] In one embodiment of step S4, the location, direction of imbalance, and degree of imbalance of the abnormal nozzle group are determined by inversion calculation, including: S41. Construct the change characteristics of the sparse response signal before and after the identification excitation into an observation feature vector, and construct the reference mapping relationship into a system response matrix; S42. Solving for the relative imbalance vector based on a regularized optimization model; S43. Based on the obtained relative imbalance vector, the abnormal nozzle group is determined by the position of its non-zero elements, the positive or negative sign of the elements represents the direction of imbalance, and the absolute value of the elements represents the degree of imbalance. S44. Verify the relative imbalance vector by combining the apparent resistance coefficient of each nozzle group, and eliminate false imbalance results caused by valve failure.

[0016] In another embodiment of step S5, calculating the compensation adjustment amount for each of the nozzle groups and performing group compensation correction includes: S51. Calculate the initial compensation amount based on the degree of imbalance of the abnormal nozzle group; S52. Calculate the final compensation amount of each nozzle group through total amount conservation correction so that the sum of the compensation amounts of all nozzle groups meets the preset constraints. S53. Convert the final compensation amount into the target opening command of the hydrogen supply regulating valve of each nozzle group, and issue it for execution.

[0017] In another embodiment of step S5, it further includes: S54. After performing group compensation correction, the combustion state assessment index is recalculated. If the combustion state assessment index does not drop below the preset threshold, iterative identification and correction are performed until the preset iteration termination condition is reached, at which point automatic correction is stopped and an alarm or manual intervention prompt is generated.

[0018] In an improved embodiment of the above-mentioned method for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance, the method further includes: S6. Record the cumulative compensation amount and the trend of branch apparent resistance coefficient change of each nozzle group during multiple calibration processes; S7. When the cumulative compensation of a nozzle group exceeds the health threshold, or the apparent resistance coefficient of a branch deviates from the reference value by more than the degradation threshold, the nozzle group is marked as a high-risk unit and maintenance warning information is generated.

[0019] This invention also provides an online identification and group compensation correction system for hydrogen micro-mixing nozzle array supply imbalance, including a hydrogen micro-mixing nozzle array, a group hydrogen supply adjustment unit, a sensing and monitoring unit, and a control unit.

[0020] The hydrogen micro-mixing nozzle array contains multiple micro-mixing combustion units, which are divided into multiple independently adjustable nozzle groups according to the hydrogen supply branch or spatial partition. Each hydrogen supply regulating unit is connected to each of the nozzle groups in a one-to-one correspondence, and is used to independently regulate the hydrogen supply of each nozzle group. The sensing and monitoring units are located at the combustion chamber inlet, wall, and outlet to collect sparse response signals; The control unit is communicatively connected to both the grouped hydrogen supply regulation unit and the sensing monitoring unit, and is configured to execute the above method: Compared with the prior art, the present invention has at least the following advantages: 1. Establishing a complete online identification and closed-loop compensation mechanism. This invention does not merely passively monitor or retrospectively judge the micro-mixing nozzle array, but rather establishes a complete closed loop around "online identification and group compensation correction of local imbalances." Existing technologies mostly focus on nozzle structure design, static zoned supply, or anomaly judgment based on a single monitoring quantity, making it difficult to respond promptly to dynamic local supply deviations that occur during operation. This invention divides the hydrogen micro-mixing nozzle array into independently adjustable nozzle groups and continuously collects response signals during operation. It can perform online identification and closed-loop adjustment of array imbalance without disassembling the combustion system or relying on direct measurement of each nozzle, making it more suitable for continuous operation scenarios in practical engineering.

[0021] 2. Overcoming the bottleneck of localization under sparse measurement conditions. This invention addresses the challenges of hydrogen micro-mixer combustors, characterized by a large number of nozzles, small unit size, and limited measurement point arrangement. It proposes an abnormal nozzle group identification method based on sparse response signals, overcoming the reliance of existing technologies on high-density measurements or nozzle-by-nozzle detection. By comprehensively utilizing signals obtained from dynamic pressure, temperature distribution, and acoustic characteristics under limited measurement conditions, and combining this with the mapping relationship between nozzle group state and response, this invention can locate abnormal nozzle groups and their imbalance directions at the array level, improving the timeliness and targeting of local anomaly detection. Compared to schemes that only reflect overall temperature distortion or total flow deviation, this invention is more effective in identifying localized, early-stage, and concealed supply imbalance problems.

[0022] 3. Enhancing Discrimination Through Active Identification Excitation. This invention introduces constrained identification excitation during the online identification process. By applying small, short-term, and controllable perturbations to candidate nozzle groups, the distinguishability of abnormal states in different nozzle groups within sparse measurement signals is improved. Compared to schemes that rely solely on passive observation under natural operating conditions, this approach enhances the sensitivity and reliability of anomaly localization, improving the identification accuracy of abnormal nozzle groups while maintaining the overall stability boundary of the combustion system. Therefore, this invention can not only determine whether an imbalance exists but also further determine the location and degree of imbalance of abnormal nozzle groups, providing a clearer basis for subsequent compensation and correction.

[0023] 4. Implementation of Targeted Group Compensation Correction. This invention does not perform a coarse adjustment of the overall hydrogen supply, but rather implements targeted group compensation correction based on the identification results of abnormal nozzle groups, resulting in greater targeting and higher adjustment efficiency. For nozzle groups with localized insufficient or excessive supply, this invention can take corresponding branch adjustment measures and perform synergistic correction under the constraints of total hydrogen supply and stability, helping to improve the uniformity of nozzle array supply and mitigate the adverse effects of localized over-concentration or over-leanization. Compared to methods that simply rely on overall ratio correction or manual offline adjustment, this invention is better able to adapt to the spatial non-uniformity characteristics of localized anomalies in micro-mixing arrays.

[0024] 5. Improved Outlet Temperature Distribution and Combustion Stability. This invention helps improve the outlet temperature distribution and local thermal load conditions of the hydrogen micro-mixing combustion chamber. Local imbalances in the micro-mixing nozzle array often cause excessively high or low combustion intensity in certain areas, leading to distortion of the outlet temperature field, enhanced local hot spots, or a decrease in combustion stability margin. By performing online compensation and correction on abnormal nozzle groups, this invention can mitigate the deterioration trend of temperature distribution caused by local supply imbalances, improve array operation consistency, thereby enhancing the controllability and stability of the combustion system during operation, and providing support for reducing the risk of local overheating of subsequent hot-end components.

[0025] 6. Balancing Engineering Feasibility and Scalability. The technical approach of this invention balances engineering feasibility and scalability. On the one hand, this invention does not require a complex, nozzle-by-nozzle sensor arrangement, and can be implemented based on actual burner structures, available measuring point conditions, and hydrogen supply branch configurations, exhibiting good engineering adaptability. On the other hand, this invention uniformly attributes anomalies to deviations in the nozzle group supply state, using an identification-correction closed-loop as its core, making it applicable to various local imbalance situations such as manufacturing deviations, local blockages, branch resistance differences, or service degradation. Therefore, this invention can not only be used for the operation and adjustment of hydrogen micro-hybrid combustion systems, but also provide technical support for the health management and maintenance decisions of related combustion systems. Attached Figure Description

[0026] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a flowchart of the online identification and grouping compensation correction method for hydrogen micro-mixing nozzle array supply imbalance disclosed in an embodiment of the present invention; Figure 2 This is an architecture diagram of the hydrogen micro-mixing nozzle array supply imbalance online identification and group compensation correction system disclosed in an embodiment of the present invention; Figure 3 The following is a flowchart and closed-loop principle diagram of the online identification and group compensation correction method in a specific implementation. Detailed Implementation

[0028] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0029] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. This application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, in the absence of conflict, the following embodiments and features of the embodiments can be combined with each other. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0030] like Figure 1 As shown, this invention discloses an online identification and grouping compensation correction method for hydrogen micro-mixing nozzle array supply imbalance, the method comprising the following steps: S1. Divide the hydrogen micro-mixing nozzle array into multiple nozzle groups with independently adjustable hydrogen supply, and establish a benchmark mapping relationship between the hydrogen supply status of each nozzle group and the sparse response signal. S2. Calculate the combustion status evaluation index of each nozzle group through real-time monitoring of sparse response signals. When the combustion status evaluation index exceeds the preset threshold, it is determined that there is a supply imbalance and the online identification process is triggered. S3. In the online identification process, a controlled identification excitation is applied to the nozzle group that is determined to have a supply imbalance, and the change characteristics of the sparse response signal before and after the identification excitation are collected. S4. Determine the location, imbalance direction, and imbalance degree of the abnormal nozzle group by solving the constrained inversion optimization model; S5. Based on the imbalance direction and degree of the abnormal nozzle group, and under the condition of satisfying the total hydrogen supply constraint of the combustion system, calculate the compensation adjustment amount of each nozzle group and perform group compensation correction.

[0031] In one embodiment of step S1, a grouping model and monitoring system for the hydrogen micro-mixing nozzle array are first established. Based on the burner structure, nozzle arrangement, and hydrogen supply branch layout, the nozzle array is divided into several nozzle groups, each containing one or more micro-mixing nozzle units. Simultaneously, sensors are placed at the burner inlet, shell wall, adjacent to the combustion zone, outlet cross-section, or other locations that reflect changes in combustion state to collect response signals related to the nozzle array's supply state. These response signals may include dynamic pressure, static pressure, wall temperature, outlet temperature distribution, acoustic characteristic signals, local flow signals, or combinations thereof. This grouping model and monitoring system together form the basis for subsequent anomaly identification and compensation correction.

[0032] like Figure 3 As shown, this invention is illustrated using an annular hydrogen micro-mixing combustion chamber as an example. This combustion chamber includes multiple micro-mixing nozzle units distributed circumferentially and / or radially. Each micro-mixing nozzle unit is used to organize hydrogen fuel and air into a short-range, dispersed micro-mixing flame within a local, small-scale region. To facilitate online identification and compensation correction, all micro-mixing nozzles are divided into several nozzle groups according to hydrogen supply branches, spatial proximity, or predetermined functional zones.

[0033] Specifically, establishing a baseline mapping relationship between the hydrogen supply state and the rarefaction response signal for each nozzle group includes: S11. Under steady-state conditions, calibration perturbations are applied to each of the nozzle groups in sequence, and the changes in hydrogen supply and corresponding sparse response signals of each nozzle group are recorded simultaneously. S12. Based on the change in hydrogen supply and the corresponding change in sparse response signal, construct a reference response matrix with nozzle group as input and sparse response signal as output, as the reference mapping relationship.

[0034] In an optional embodiment, the method further includes: S13, during subsequent operation, based on the measured data under normal operating conditions, the baseline response matrix is ​​recursively corrected online using a recursive least squares algorithm with a forgetting factor, wherein the forgetting factor ranges from 0.95 to 0.99, and each correction only updates the column vectors in the baseline response matrix that are related to the current operating condition.

[0035] In one embodiment of step S2, during normal system operation, the control unit continuously receives response signals from each monitoring location and preprocesses and assesses their status. The preprocessing includes, but is not limited to, signal filtering, normalization, window truncation, feature extraction, and deviation calculation from the baseline operating condition. The control unit judges the current operating status of the nozzle array based on preset criteria. When the response signal indicates that the nozzle array may have local supply deviations, abnormal local combustion intensity, skewed outlet temperature distribution, or other signs related to array imbalance, the online identification process is triggered. The triggering conditions can be set according to engineering needs, such as temperature uniformity exceeding a threshold, pressure pulsation characteristics deviating from the baseline range, a long-term high temperature at a certain measuring point, or multiple signals deviating from the normal window.

[0036] like Figure 3 The annular hydrogen micro-mixing combustion chamber shown has each nozzle group corresponding to an independent or semi-independent hydrogen supply regulation branch. Each branch is equipped with an adjustable actuator, such as a proportional valve, an electronically controlled valve, a throttling component, or other actuators capable of changing the branch flow rate. The controller is connected to the sensing and monitoring unit and the actuators of each branch to complete data acquisition, status judgment, identification of excitation control, location of abnormal nozzle groups, and calculation and execution of compensation.

[0037] Specifically, combustion state evaluation indicators for each nozzle group are calculated using real-time monitored sparse response signals, including: S21. Calculate the outlet temperature non-uniformity index based on outlet temperature measurement point data, and extract the pressure pulsation amplitude or pressure pulsation energy spectrum characteristics through dynamic pressure sensor data. S22. When at least one of the outlet temperature non-uniformity index, the pressure pulsation amplitude, and the pressure pulsation energy spectrum characteristics exceeds its corresponding threshold, it is determined that the combustion state evaluation index exceeds the preset threshold.

[0038] In specific implementation, to evaluate the uniformity of the outlet temperature field, this embodiment further defines an outlet temperature non-uniformity index, namely the outlet temperature non-uniformity index. The ratio of the standard deviation of the outlet temperature to the average temperature of the outlet section is given by the formula: ; In the formula, This represents the number of outlet temperature measurement points. for Average temperature of each outlet section The outlet temperature nonuniformity index represents the degree of normalized dispersion of the outlet temperature distribution relative to the average temperature. The larger the value, the more pronounced the temperature distortion caused by array supply imbalance.

[0039] After completing the measurement point layout, a mapping relationship between the nozzle group's state and response characteristics is established. To ensure this mapping has a clear engineering implementation path, this embodiment uses an "offline calibration + online correction" method to construct the baseline response matrix. Specifically, under healthy conditions, small-amplitude standard excitations are applied to each nozzle group in a predetermined order, and the characteristic changes of various monitoring signals are recorded. Let the first... The response feature column vector obtained after applying standard excitation to each nozzle group is: Then the baseline response matrix can be formed: ; In the formula, For the baseline response matrix, its first... List Characterizing the first The response characteristic change pattern of each nozzle group under standard perturbation. The standard excitation can be a small-amplitude valve opening perturbation, a short-time step perturbation of branch flow, or a short-time pulsating perturbation of a preset frequency, and its amplitude should be controlled within a range that will not disrupt the stability boundary of the combustion system. For example, in a preferred embodiment, the relative amplitude of the identification excitation can be set to the reference opening or reference flow of the corresponding nozzle group. The duration can be set to a short window that covers local flow and heat release response without causing significant operating condition drift. The specific values ​​here are not intended to limit the invention, and those skilled in the art can adjust them according to the dynamic response characteristics of the combustion chamber.

[0040] After the system is put into online operation, the controller continuously receives the raw monitoring signals from each measuring point and performs filtering, noise reduction, synchronization, normalization, and time window feature extraction on them to form a real-time response feature vector. In a preferred embodiment, the response feature vector can be written as: ; In the formula, For the first Normalized deviation of each outlet temperature measuring point For the first Normalized deviation of each wall temperature measurement point For the first Normalized characteristic deviation of each pressure measurement point relative to the reference working condition. and These represent the number of wall temperature measuring points and pressure measuring points, respectively, with symbols indicating their respective numbers. This indicates transposition. The controller determines whether it is necessary to enter the online identification process based on real-time response characteristics and preset trigger criteria. In this embodiment, when the outlet temperature non-uniformity index... Exceeding the set threshold or one or more pressure pulsation intensities If the set threshold is exceeded, or if certain wall temperature measuring points continue to deviate from the reference range, it is considered that there may be a local nozzle group imbalance, and the system enters the diagnostic window.

[0041] In one embodiment of step S3, to improve the identifiability of abnormal nozzle groups under sparse measurement point conditions, the present invention introduces a preset identification excitation in the online identification stage. The identification excitation refers to applying a small, short-duration, and restricted supply disturbance to the candidate nozzle group without compromising the basic stability and safety boundaries of the combustion system, thereby enhancing the distinguishability of the state differences between different nozzle groups in the response signal. The disturbance can manifest as a slight pulsation in the hydrogen supply flow, a small-range scan of the valve opening, a short-term step change, or a polling-style excitation of different nozzle groups in a predetermined order. The amplitude, duration, and application order of the identification excitation are preset according to the allowable operating condition fluctuation range of the combustion system, ensuring sufficient identification capability for abnormal states while avoiding causing additional significant combustion instability.

[0042] like Figure 3 As shown, to ensure the feasibility of this invention, before the system is put into normal operation, a nozzle array grouping model, a monitoring point layout scheme, and a baseline response database are first established. The number of nozzle groups is denoted as... , No. The baseline hydrogen supply flow rate for each nozzle group is denoted as: ,in The reference hydrogen supply flow rate This refers to the design flow rate or calibration flow rate for each nozzle group in the combustion system under healthy conditions and target operating conditions. To characterize the array imbalance state, in this embodiment, the [missing information] is defined as... The relative loss of each nozzle group is as follows: ; In the formula, Indicates the current running state of the first The actual hydrogen supply flow rate of each nozzle group Indicates the first Normalized deviation of each nozzle group relative to a reference state. When, it indicates that the nozzle assembly is not supplying enough; when When this occurs, it indicates that the supply of the nozzle assembly is too high; when When this occurs, it indicates that the nozzle assembly is in the target supply state.

[0043] Specifically, a controlled identification stimulus is applied to the nozzle group that is determined to have a supply imbalance, using at least one of the following methods: S31. The nozzle group that is determined to have a supply imbalance is selected as a candidate nozzle group. A step opening disturbance is applied to the hydrogen supply regulating valve of the candidate nozzle group. The relative amplitude of the step opening disturbance does not exceed 5% of the current opening and the duration does not exceed a preset duration. S32. Apply the identification excitation to each candidate nozzle group in a preset polling order, and set a preset recovery waiting time between two adjacent excitations. The recovery waiting time is pre-calibrated according to the dynamic response characteristics of the combustion chamber so that the response signal caused by the excitation decays to a preset steady-state threshold range. S33. While applying the identification excitation, record the valve opening change and actual flow feedback of the corresponding candidate nozzle group as input feature quantities of the identification excitation in the subsequent inversion calculation.

[0044] In another embodiment of step S3, after applying the identification excitation, the control unit collects the response changes at each monitoring location before and after the excitation, and calculates the imbalance index of each nozzle group by combining it with a pre-established nozzle group state-response mapping relationship. The mapping relationship can be obtained through simulation, experimental calibration, benchmark database construction, empirical models, or a combination thereof, and is used to characterize the influence characteristics of different nozzle groups on each monitoring signal under normal, low-supply, high-supply, partial blockage, or branch resistance deviation states. By comparing the current response characteristics with the mapping relationship or benchmark response matrix, the location, imbalance direction, and degree of imbalance of the abnormal nozzle group are determined. The imbalance direction includes at least two categories: relative undersupply and relative oversupply, and the degree of imbalance reflects the extent to which the nozzle group deviates from the target supply state.

[0045] Specifically, collecting the change characteristics of the sparse response signal before and after the identification excitation includes: S34. Before applying the identification stimulus, the sparse response signal is collected as a reference signal before the stimulus. S35. After applying the identification stimulus, the sparse response signal after the stimulus is acquired, and the difference between the sparse response signal after the stimulus and the reference signal before the stimulus is calculated as the change feature.

[0046] In one embodiment of step S4, after obtaining the identification results of the abnormal nozzle group, the present invention further performs group compensation correction. The control unit calculates the compensation amount for the corresponding nozzle group based on the position, imbalance direction, and imbalance degree of the abnormal nozzle group, under the conditions of satisfying the total hydrogen supply constraint, combustion stability constraint, and target operating window constraint, and implements the correction through the corresponding adjustment unit. The adjustment unit can be a valve, throttling device, distributor, or other actuator capable of changing the hydrogen supply state of the nozzle group. For abnormal nozzle groups with insufficient supply, the hydrogen supply ratio of their corresponding branch can be increased or the flow resistance reduced; for abnormal nozzle groups with excessive supply, the hydrogen supply ratio of their corresponding branch can be decreased or the flow resistance increased; if necessary, coordinated adjustment can also be performed in conjunction with adjacent nozzle groups to ensure that the overall total supply and array uniformity simultaneously meet the requirements.

[0047] like Figure 3 As shown, in terms of the monitoring system, this embodiment preferably arranges pressure measuring points at the burner inlet or branch location, wall temperature measuring points in the combustion chamber shell or flame-adjacent area, and multiple temperature measuring points at the combustion chamber outlet section. Correspondingly, the controller can acquire inlet or local dynamic pressure signals, wall temperature signals, and outlet temperature distribution signals. To facilitate subsequent unified processing, the deviations between various monitored quantities and their corresponding reference values ​​are constructed as response characteristics. For the outlet... For each measuring point, the temperature deviation characteristic is defined as: ; In the formula, For the current moment, the export number Temperature at each measuring point This is the reference temperature for this measuring point under the same operating conditions. This represents the normalized temperature deviation at that measuring point. For the... Each wall temperature measuring point can be defined similarly. ; In the formula, For the first Current temperature at each wall temperature measuring point This is the corresponding baseline value. For dynamic pressure signals, within a preset time window... The internally defined pressure pulsation intensity is: ; In the formula, For the first The pulsating pressure component at each pressure measurement point Let be the root mean square pulsation intensity at this measuring point within the time window. Further, define the first... The normalized pressure deviation characteristics of each pressure measuring point relative to the reference working condition are as follows: ; In the formula, For the first The reference value of pressure pulsation intensity at each pressure measuring point under the corresponding reference working condition. This represents the normalized pressure deviation at the measuring point. Therefore, the temperature deviation characteristics, wall temperature deviation characteristics, and pressure deviation characteristics can be uniformly incorporated into the subsequent construction process of the response feature vector.

[0048] Specifically, the location, direction of imbalance, and degree of imbalance of the abnormal nozzle group are determined through inversion calculations, including: S41. Construct the change characteristics of the sparse response signal before and after the identification excitation into an observation feature vector, and construct the reference mapping relationship into a system response matrix; S42. Solve for the relative imbalance vector using a regularized optimization model: S43. Based on the obtained relative imbalance vector, the abnormal nozzle group is determined by the position of its non-zero elements, the positive or negative sign of the elements represents the direction of imbalance, and the absolute value of the elements represents the degree of imbalance. S44. Verify the relative imbalance vector by combining the apparent resistance coefficient of each nozzle group, and eliminate false imbalance results caused by valve failure.

[0049] In one embodiment of step S42, to improve anomaly localization capability under limited measurement points, this embodiment introduces restricted identification excitation in the diagnostic window. Specifically, the controller applies small, short-duration, and reversible hydrogen supply disturbances to candidate nozzle groups in a preset order, and simultaneously collects the response characteristic changes of each measurement point. The identification excitation can be performed in a round-robin fashion, or it can be selectively applied to several candidate groups based on prior region division. Let the feature deviation vector obtained in the current diagnostic window be... The relative imbalance vector of the nozzle group Then its estimated value can be obtained by solving the following regularized least squares problem: ; In the formula, To estimate the relative imbalance vector of the obtained nozzle group, Represents the L2 norm, is the regularization coefficient, used to suppress measurement noise and model ill-posedness. This equation shows that this embodiment obtains the nozzle group imbalance distribution that best matches the current monitoring results by minimizing the deviation between the real-time response characteristics and the response reconstructed from the reference response matrix. In an implementation that facilitates practical calculation, the above equation can be further written as: ; In the formula, It is the identity matrix. For matrix transpose, This represents finding the inverse of a matrix. The solution obtained is... Each component corresponds to the degree of imbalance of each nozzle group relative to the reference state, and the control unit determines the position, imbalance direction, and corresponding compensation amount of the abnormal nozzle group accordingly. If a certain calculated component... Greater than the preset threshold Then determine the first One nozzle group is an abnormal nozzle group; if If so, it is determined that the group has a tendency to experience supply shortages; if If so, it is determined that the group has a tendency to oversupply.

[0050] In a preferred embodiment of step S44, to further distinguish the source of the anomaly, upstream and downstream pressure measuring points can be arranged on some nozzle group branches to construct local flow resistance indices. For each nozzle group, the apparent resistance index of the branch can be defined as: ; In the formula, and The first The pressure upstream and downstream of each nozzle group branch, This represents the current hydrogen supply flow rate for this branch. A very small positive number is set to prevent the denominator from being zero. If a certain abnormal nozzle group simultaneously satisfies... and If the value is significantly higher than the baseline, it can be further determined that the anomaly is more likely related to local blockage, flow channel contamination, or increased branch resistance; if The change was not significant. Significant deviations are more likely related to valve position drift, distribution errors, or upstream supply deviations. This branch resistance indicator is not essential for the implementation of this invention, but can serve as a preferred enhancement feature to improve the accuracy of anomaly type identification.

[0051] In another embodiment of step S5, after the abnormal nozzle group is located, the controller enters the compensation and correction phase. In order to balance local correction and overall operating stability, this embodiment first calculates the initial compensation flow rate of each nozzle group based on the imbalance estimation results.

[0052] Specifically, calculating the compensation adjustment amount for each of the nozzle groups and performing group compensation correction includes: S51. Calculate the initial compensation amount based on the degree of imbalance of the abnormal nozzle group. In specific implementation, the initial compensation amount can be expressed by the following formula: The final compensation amount of each nozzle group is calculated through total quantity conservation correction, so that the sum of the compensation amounts of all nozzle groups satisfies a preset constraint: ; In the formula, This represents the compensation gain coefficient for the k-th nozzle group. The relative imbalance of the k-th nozzle group The reference hydrogen supply flow rate for the k-th nozzle group; Let be the initial compensation amount for the k-th nozzle group; if , it means increasing the supply to the nozzle group; if , it means decreasing the supply to the nozzle group.

[0053] S52. Calculate the final compensation amount for each nozzle group through total quantity conservation correction, so that the sum of the compensation amounts for all nozzle groups meets the preset constraints. In specific implementation, to avoid unintentional changes in the total hydrogen supply caused by the compensation process, the initial compensation amount of each group can be corrected for total quantity constraints in this step. For example, the final compensation amount can be calculated using the following total quantity conservation correction formula: ; in, This is the final compensation amount; The total number of nozzle groups is used as the basis for correction, ensuring the sum of compensation values ​​for all nozzle groups is approximately zero to maintain a relatively constant total hydrogen supply. This correction allows for the redistribution of hydrogen among local nozzle groups without significantly altering the overall hydrogen supply. Subsequently, the controller, based on the flow rate-valve position calibration relationship for each branch, will... The value is converted into the corresponding actuator opening correction amount, and control commands are sent to each nozzle group branch. For situations where the safety boundary is reached, the controller can also set upper and lower limits for the valve position correction amount to prevent excessive single compensation from causing new instability.

[0054] In addition, while eliminating local supply imbalances through total quantity conservation correction, the total heat load of the combustion chamber is kept constant to avoid triggering secondary disturbances in the upstream fuel dispatching system.

[0055] S53. Convert the final compensation amount into the target opening command of the hydrogen supply regulating valve of each nozzle group, and issue it for execution.

[0056] In another embodiment of step S5, it further includes: S54. After performing group compensation correction, the combustion state assessment index is recalculated. If the combustion state assessment index does not drop below the preset threshold, iterative identification and correction are performed. The maximum number of iterations is 3 to 5 times. Automatic correction is stopped and an alarm or manual intervention prompt is generated when the preset iteration termination condition is reached.

[0057] In practice, after the compensation command is executed, the system continues to collect data for the next time window and recalculates the outlet temperature non-uniformity index. Pressure pulsation intensity and estimated values ​​of imbalance for each nozzle group If the following conditions are met within several consecutive evaluation windows: and If the target is achieved, the system is considered to have reached its compensation objective, and it exits the online identification and compensation process, reverting to regular monitoring. In the formula... The target temperature uniformity threshold, The threshold for terminating imbalance. This indicates the operation of taking the maximum value. If the above conditions are not met, the current branch correction result is retained, and the identification excitation, imbalance estimation, and compensation calculation are re-executed under the premise of satisfying the safety boundary, until the target is reached or the exit condition is met. Through this rolling closed-loop operation mechanism, the present invention can achieve continuous correction of local imbalances in the micro-mixing nozzle array.

[0058] More specifically, such as Figure 3 As shown, after completing one compensation correction, the system continues to collect response signals and evaluate the correction effect. When the evaluation result indicates that the array uniformity has been restored to the target range, the system exits the current identification and compensation process and enters the normal monitoring state; when the evaluation result still indicates the existence of residual imbalance or new abnormal trends, it re-enters the online identification and correction process, forming a closed-loop operation mechanism. Through the above method, the present invention can realize online detection, online location, and online correction of local imbalances in the nozzle array during the operation of the combustion system.

[0059] exist Figure 3 In one optional implementation of the example shown, the reference response matrix S does not rely entirely on a single offline test, but can be updated by combining high-precision numerical simulation results, bench calibration results, and online correction results. Specifically, after the combustion chamber structure is finalized, the influence of different nozzle groups on the outlet temperature field, wall temperature, and pressure characteristics under standard perturbation can be calculated using simulation to form an initial response matrix; during the bench test phase, this matrix is ​​further verified through a finite number of branch perturbations; during actual operation, some matrix column vectors are slowly corrected based on newly acquired data under healthy operating conditions. This reduces the workload of offline calibration and improves the adaptability of the invention under different operating conditions and different service stages.

[0060] In one alternative implementation, the reference response matrix It does not rely entirely on a single offline test, but can be updated by combining high-precision numerical simulation results, bench calibration results, and online correction results. Specifically, after the combustion chamber structure is finalized, the influence of different nozzle groups on the outlet temperature field, wall temperature, and pressure characteristics under standard perturbation can be calculated using simulation to form an initial response matrix. During the bench test phase, this matrix is ​​further verified through a finite number of branch perturbations. In actual operation, some matrix column vectors are slowly corrected based on newly acquired data under healthy operating conditions. This reduces the workload of offline calibration and improves the adaptability of the invention under different operating conditions and different service stages.

[0061] In an optional implementation, the method further includes: S6. Record the cumulative compensation amount and the changing trend of the apparent resistance coefficient of the branch in each nozzle group during multiple calibration processes.

[0062] S7. When the cumulative compensation of a nozzle group exceeds the health threshold, or deviates from the baseline value by more than the degradation threshold, mark the nozzle group as a high-risk unit and generate maintenance warning information.

[0063] For example, when the system detects that a certain nozzle group has a long-term and recurring problem... And branch resistance coefficient When the temperature continues to rise, the nozzle group can be marked as a high-risk nozzle group, and maintenance suggestions can be output to the superior health management system. When the system detects that although the outlet temperature uniformity of a nozzle group has been restored through compensation, the amount of compensation required continues to increase, it can also be determined that there is a potential degradation trend. It can be seen that the present invention can not only realize the correction of local imbalances during operation, but also provide auxiliary information for the condition maintenance and life management of micro-hybrid burners.

[0064] To further illustrate the implementation process of the present invention, an exemplary operating flow is given below. Under a certain target operating condition, the annular hydrogen micro-mixing combustion chamber is provided with a total of Several micro-mixing nozzles, divided circumferentially. Each nozzle group. Under healthy conditions, the system first establishes a baseline response database and records the baseline flow rate of each nozzle group. Once the combustion chamber reaches stable operation, the controller periodically calculates the outlet temperature non-uniformity index. If found If the flow rate continuously exceeds the set threshold, and some wall temperature measuring points show a significant deviation from the historical baseline, the controller initiates an identification program. This program sequentially applies small flow disturbances to several candidate nozzle groups and calculates the corresponding real-time response feature vectors. Then, based on the baseline response matrix... Solving for the nozzle assembly imbalance estimation vector Determine the first one The nozzle group and the first There was a significant supply shortage in one nozzle assembly. The controller then calculated based on the compensation formula. and The corresponding branch valve positions are then corrected. After one or more control cycles, if the outlet temperature uniformity is restored, the abnormal wall temperature drops, and the estimated nozzle group imbalance returns to the threshold range, the compensation is considered successful. Those skilled in the art will understand that the number of nozzles, grouping method, number of measuring points, and disturbance type in the above example can all be adjusted according to the actual burner structure.

[0065] Based on the same inventive concept, this invention also provides an online identification and grouping compensation correction system for hydrogen micro-mixing nozzle array supply imbalance, as described in the following embodiments. Since the principle of the online identification and grouping compensation correction system for hydrogen micro-mixing nozzle array supply imbalance is similar to the method disclosed in the above embodiments, the implementation of the online identification and grouping compensation correction system for hydrogen micro-mixing nozzle array supply imbalance can refer to the implementation of the method for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance, and repeated details will not be elaborated further. As used below, the terms "unit" or "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0066] Figure 2 This is a structural block diagram of a hydrogen micro-mixing nozzle array supply imbalance online identification and group compensation correction system disclosed in an embodiment of the present invention. The system includes a hydrogen micro-mixing nozzle array, a group hydrogen supply adjustment unit, a sensing and monitoring unit, and a control unit. The structure is described below.

[0067] The hydrogen micro-mixing nozzle array contains multiple micro-mixing combustion units, which are divided into multiple independently adjustable nozzle groups according to the hydrogen supply branch or spatial partition. Each hydrogen supply regulating unit is connected to each of the nozzle groups in a one-to-one correspondence, and is used to independently regulate the hydrogen supply of each nozzle group. The sensing and monitoring units are located at the combustion chamber inlet, wall, and outlet to collect sparse response signals; The control unit is communicatively connected to both the grouped hydrogen supply regulation unit and the sensing and monitoring unit, and is configured to execute the above method.

[0068] Specifically, in calibration mode, it is used to establish a reference mapping relationship between the hydrogen supply status of each nozzle group and the sparse response signal; In calibration mode, calibration perturbations are applied to each nozzle group, the changes in hydrogen supply and sparse response signals are recorded, and the baseline response matrix is ​​constructed and corrected online.

[0069] In this embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described method for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance.

[0070] Specifically, the computer device can be a computer terminal, a server, or a similar computing device.

[0071] In this embodiment, a computer-readable storage medium is provided, which stores a computer program that performs any of the above-described methods for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance.

[0072] Specifically, computer-readable storage media, including both permanent and non-permanent, removable and non-removable media, can store information using any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer-readable storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable storage media does not include transient media, such as modulated data signals and carrier waves.

[0073] Obviously, those skilled in the art should understand that the modules or steps of the above-described embodiments of the present invention can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented here, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the embodiments of the present invention are not limited to any particular hardware and software combination.

[0074] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, various modifications and variations can be made to the embodiments of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance, characterized in that, include: The hydrogen micro-mixing nozzle array is divided into multiple nozzle groups with independently adjustable hydrogen supply, and a benchmark mapping relationship between the hydrogen supply status of each nozzle group and the sparse response signal is established. The combustion status evaluation index of each nozzle group is calculated by real-time monitoring of sparse response signals. When the combustion status evaluation index exceeds the preset threshold, it is determined that there is a supply imbalance and the online identification process is triggered. In the online identification process, a controlled identification excitation is applied to the nozzle group that is determined to have a supply imbalance, and the change characteristics of the sparse response signal before and after the identification excitation are collected. Based on the aforementioned baseline mapping relationship and the aforementioned change characteristics, the location, imbalance direction, and degree of imbalance of the abnormal nozzle group are determined by solving a constrained inversion optimization model. Based on the imbalance direction and degree of the abnormal nozzle group, and under the condition of satisfying the constraint of the total hydrogen supply of the combustion system, the compensation adjustment amount of each nozzle group is calculated and group compensation correction is performed.

2. The method for online identification and group compensation correction of hydrogen micro-mixing nozzle array supply imbalance according to claim 1, characterized in that, Establishing a baseline mapping relationship between the hydrogen supply state and the rarefaction response signal for each nozzle group includes: Under steady-state conditions, calibration perturbations are applied sequentially to each of the nozzle groups, and the changes in hydrogen supply and corresponding sparse response signals of each nozzle group are recorded simultaneously. Based on the change in hydrogen supply and the corresponding change in sparse response signal, a reference response matrix is ​​constructed with the nozzle group as input and the sparse response signal as output, serving as the reference mapping relationship.

3. The method for online identification and group compensation correction of hydrogen micro-mixing nozzle array supply imbalance according to claim 1, characterized in that, Combustion state evaluation indicators for each nozzle group are calculated based on real-time monitoring of sparse response signals, including: The outlet temperature non-uniformity index is calculated based on outlet temperature measurement point data, and the pressure pulsation amplitude or pressure pulsation energy spectrum characteristics are extracted through dynamic pressure sensor data. When at least one of the outlet temperature nonuniformity index, the pressure pulsation amplitude, and the pressure pulsation energy spectrum characteristics exceeds its corresponding threshold, the combustion state evaluation index is determined to exceed the preset threshold.

4. The method for online identification and group compensation correction of hydrogen micro-mixing nozzle array supply imbalance according to claim 1, characterized in that, A controlled identification stimulus is applied to the nozzle group that is determined to have a supply imbalance, using at least one of the following methods: The nozzle group that is determined to have a supply imbalance is selected as a candidate nozzle group, and a step opening disturbance is applied to the hydrogen supply regulating valve of the candidate nozzle group. The identification excitation is applied to each candidate nozzle group in a preset polling order, and a preset recovery waiting time is set between two adjacent excitations; While applying the identification excitation, the valve opening change and actual flow feedback of the corresponding candidate nozzle group are recorded as input feature quantities of the identification excitation in the subsequent inversion calculation.

5. The method for online identification and group compensation correction of hydrogen micro-mixing nozzle array supply imbalance according to claim 1, characterized in that, The features of the changes in the sparse response signal before and after the identification excitation are collected, including: Before applying the identification stimulus, the sparse response signal is acquired as a reference signal before the stimulus. After applying the identification stimulus, the sparse response signal after the stimulus is acquired, and the difference between the sparse response signal after the stimulus and the reference signal before the stimulus is calculated as the change feature.

6. The method for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance according to claim 1, characterized in that, The location, direction of imbalance, and degree of imbalance of the abnormal nozzle group are determined through inversion calculations, including: The change characteristics of the sparse response signal before and after the identification excitation are constructed as observation feature vectors, and the reference mapping relationship is constructed as system response matrix; Solving for the relative imbalance vector based on a regularized optimization model; Based on the obtained relative imbalance vector, the abnormal nozzle group is determined by the position of its non-zero elements, the positive or negative sign of the elements represents the direction of imbalance, and the absolute value of the elements represents the degree of imbalance. The relative imbalance vector is verified by combining the apparent resistance coefficient of each nozzle group, and spurious imbalance results caused by valve failure are eliminated.

7. The method for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance according to claim 1, characterized in that, Calculate the compensation adjustment amount for each of the nozzle groups and perform group compensation correction, including: Calculate the initial compensation amount based on the degree of imbalance of the abnormal nozzle group; The final compensation amount of each nozzle group is calculated by the total amount conservation correction so that the sum of the compensation amounts of all nozzle groups meets the preset constraints. The final compensation amount is converted into a target opening command for the hydrogen supply regulating valve of each nozzle group and then issued for execution.

8. The method for online identification and group compensation correction of hydrogen micro-mixing nozzle array supply imbalance according to claim 7, characterized in that, Also includes: After performing group compensation correction, the combustion state assessment index is recalculated. If the combustion state assessment index does not drop below the preset threshold, iterative identification and correction are performed until the preset iteration termination condition is reached, at which point automatic correction stops and an alarm or manual intervention prompt is generated.

9. The method for online identification and group compensation correction of hydrogen micro-mixing nozzle array supply imbalance according to claim 1, characterized in that, Also includes: Record the cumulative compensation amount and the trend of branch apparent resistance coefficient changes for each nozzle group during multiple calibration processes; When the cumulative compensation of a nozzle group exceeds the health threshold, or the apparent resistance coefficient of a branch deviates from the baseline value by more than the degradation threshold, the nozzle group is marked as a high-risk unit and maintenance warning information is generated.

10. A system for online identification and grouping compensation correction of hydrogen micro-mixing nozzle array supply imbalance, characterized in that, include: The hydrogen micro-mixing nozzle array contains multiple micro-mixing combustion units, which are divided into multiple independently adjustable nozzle groups according to the hydrogen supply branch or spatial partition. A group hydrogen supply adjustment unit is connected to each of the nozzle groups in a one-to-one correspondence, and is used to independently adjust the hydrogen supply of each nozzle group; The sensing and monitoring unit is located at the combustion chamber inlet, wall, and outlet to collect sparse response signals; The control unit is communicatively connected to both the grouped hydrogen supply regulation unit and the sensing and monitoring unit, and is configured to perform the method according to any one of claims 1 to 9.

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