A pure hydrogen combustion chamber temperature prediction and early warning method and system based on fuel data

Abstract

The application provides a pure hydrogen combustion chamber temperature prediction and early warning method and system based on fuel data. The pure hydrogen combustion chamber temperature prediction and early warning method comprises the following steps: constructing an energy equation according to fuel data in historical operation data of the pure hydrogen combustion chamber, and correcting the energy equation to obtain a corrected energy equation; collecting fuel data of the pure hydrogen combustion chamber in real time, and predicting and early warning the temperature of the pure hydrogen combustion chamber by using the corrected energy equation. The system comprises modules corresponding to the method steps.

Description

TECHNICAL FIELD

[0001] The application provides a pure hydrogen combustion chamber temperature prediction and early warning method and system based on fuel data, and belongs to the technical field of temperature prediction. BACKGROUND

[0002] With the continuous progress of energy technology and the increasing environmental awareness, pure hydrogen as a clean energy is increasingly widely used in the energy field. The efficient and stable operation of the pure hydrogen combustion chamber, as a key device for hydrogen energy utilization, is of great significance to improve energy utilization efficiency and reduce environmental pollution. However, the internal temperature of the pure hydrogen combustion chamber is affected by many factors during operation, such as fuel flow, fuel purity, air ratio, combustion chamber structure and external environmental conditions. Changes in these factors can cause fluctuations in the combustion chamber temperature, which in turn affects the combustion efficiency and the safety of the equipment. Traditional pure hydrogen combustion chamber temperature control methods mostly rely on experience and simple temperature monitoring, lacking accurate prediction and early warning mechanisms for changes in the temperature inside the combustion chamber. When the combustion chamber temperature abnormally rises or falls, it is often difficult to discover and effectively respond in a timely manner, which may lead to equipment damage, reduced combustion efficiency and even safety accidents. SUMMARY

[0003] The application provides a pure hydrogen combustion chamber temperature prediction and early warning method and system based on fuel data to solve the above technical problems in the prior art, and the technical solutions adopted are as follows:

[0004] A pure hydrogen combustion chamber temperature prediction and early warning method based on fuel data, the pure hydrogen combustion chamber temperature prediction and early warning method comprising:

[0005] An energy equation is constructed according to fuel data in historical operation data of the pure hydrogen combustion chamber, and the energy equation is corrected to obtain a corrected energy equation;

[0006] Fuel data of the pure hydrogen combustion chamber is collected in real time, and the corrected energy equation is used to predict and warn the temperature of the pure hydrogen combustion chamber.

[0007] Further, the energy equation is constructed according to fuel data in historical operation data of the pure hydrogen combustion chamber, comprising:

[0008] Fuel data in the historical operation data of the pure hydrogen combustion chamber is extracted; wherein the fuel data includes hydrogen combustion rate, flame front position change amplitude and radiant heat flux density;

[0009] The pure hydrogen combustion chamber is divided into a plurality of grid units using the fuel data in the historical operation data of the pure hydrogen combustion chamber;

[0010] An energy equation is established for each grid unit;

[0011] wherein the energy equation structure is as follows:

[0012]

[0013] wherein p represents the radiant heat flux density; c p represents the specific heat capacity at constant pressure corresponding to the pure hydrogen combustion chamber; T represents the temperature of the pure hydrogen combustion chamber; t represents the time of operation of the pure hydrogen combustion chamber; represents the heat conduction term (Fourier's law), used to describe the diffusion process of heat conduction through materials; T represents the thermal conduction gradient, reflecting the driving direction of heat flow; Q c represents the heat released by the hydrogen combustion chemical reaction; Q r represents the radiation heat loss; W represents the adjusted effective thermal conductivity; u represents the wall heat loss coefficient corresponding to each grid cell;

[0014] The temperature value corresponding to each grid cell is obtained by solving the energy equation in combination with the combustion chamber dynamic pressure fluctuation parameters, wall temperature distribution data, flame front position and fuel instantaneous flow rate during the operation of the pure hydrogen combustion chamber;

[0015] The predicted temperature value is obtained by weighted averaging the position weight value corresponding to each grid cell in combination with the temperature value corresponding to each grid cell.

[0016] Further, the fuel data in the historical operation data of the pure hydrogen combustion chamber is used to divide the pure hydrogen combustion chamber into a plurality of grid cells, including:

[0017] The pure hydrogen combustion chamber grid division coefficient is obtained according to the hydrogen combustion rate, the flame front position change amplitude and the radiant heat flux density;

[0018] wherein the pure hydrogen combustion chamber grid division coefficient is obtained by the following formula:

[0019]

[0020] wherein k represents the pure hydrogen combustion chamber grid division coefficient; v, L and p represent the hydrogen combustion rate, the flame front position change amplitude and the radiant heat flux density; v c , L c and p c represent the preset hydrogen combustion rate reference value, the flame front position change amplitude reference value and the radiant heat flux density reference value;

[0021] The size corresponding to the basic grid cell is retrieved;

[0022] The size (unit: mm2 ) generating a set grid cell size;

[0023] wherein the set grid cell size is obtained by the following formula:

[0024]

[0025] wherein D represents the set grid cell size; D0 represents a size corresponding to a basic grid cell; k represents a pure hydrogen combustion chamber grid division coefficient;

[0026] performing grid division on the pure hydrogen combustion chamber according to the set grid cell size to form a plurality of grid cells.

[0027] Further, the energy equation is corrected to obtain a corrected energy equation, including:

[0028] The standard deviations corresponding to the hydrogen combustion rate, the flame front position change amplitude and the radiation heat flux density are called to adjust the set pure hydrogen combustion chamber grid division coefficient to obtain an adjusted pure hydrogen combustion chamber grid division coefficient;

[0029] wherein the adjusted pure hydrogen combustion chamber grid division coefficient is obtained by the following formula:

[0030]

[0031] wherein s represents the adjusted pure hydrogen combustion chamber grid division coefficient; k represents the pure hydrogen combustion chamber grid division coefficient; v b , L b and ρ b represent the standard deviations corresponding to the hydrogen combustion rate, the flame front position change amplitude and the radiation heat flux density;

[0032] According to the adjusted pure hydrogen combustion chamber grid division coefficient, an adjusted grid cell is obtained, and the current pure hydrogen combustion chamber is monitored according to the adjusted grid cell to a preset time length;

[0033] The oxidation layer thickness corresponding to each adjusted grid cell after the pure hydrogen combustion chamber runs to the preset time length is detected;

[0034] The effective thermal conductivity is adjusted by using the oxidation layer thickness;

[0035] wherein the adjusted effective thermal conductivity is obtained by the following formula:

[0036]

[0037] wherein W represents the adjusted effective thermal conductivity; W brepresents the effective thermal conductivity of the historical operation data acquisition of the pure hydrogen combustion chamber, i.e., the effective thermal conductivity before adjustment; tanh represents the hyperbolic tangent function, which is used to simulate the nonlinear effect of the oxidation layer on the thermal conductivity; n represents the number of adjusted grid cells of the pure hydrogen combustion chamber; H i represents the oxidation layer thickness of the i th adjusted grid cell;

[0038] The adjusted effective thermal conductivity is substituted into the energy equation to generate a corrected energy equation.

[0039] Further, real-time acquisition of fuel data of the pure hydrogen combustion chamber is performed, and the corrected energy equation is used to predict and warn the temperature of the pure hydrogen combustion chamber, including:

[0040] Real-time acquisition of fuel data of the pure hydrogen combustion chamber;

[0041] The fuel data of the pure hydrogen combustion chamber is input into the energy equation, and the temperature prediction value is obtained through the energy equation;

[0042] When the temperature prediction value exceeds the preset temperature threshold, temperature abnormality warning is performed.

[0043] A pure hydrogen combustion chamber temperature prediction and warning system based on fuel data, the pure hydrogen combustion chamber temperature prediction and warning system comprising:

[0044] An energy equation correction module is configured to construct an energy equation according to fuel data in historical operation data of the pure hydrogen combustion chamber, and correct the energy equation to obtain a corrected energy equation;

[0045] A prediction and warning module is configured to real-time acquisition of fuel data of the pure hydrogen combustion chamber, and use the corrected energy equation to predict and warn the temperature of the pure hydrogen combustion chamber.

[0046] Further, the energy equation correction module comprises:

[0047] A fuel data extraction module is configured to extract fuel data in the historical operation data of the pure hydrogen combustion chamber; wherein the fuel data includes hydrogen combustion rate, flame front position change amplitude and radiation heat flux density;

[0048] A grid cell generation module is configured to divide the pure hydrogen combustion chamber into a plurality of grid cells using the fuel data in the historical operation data of the pure hydrogen combustion chamber;

[0049] An energy equation establishment module is configured to establish an energy equation for each grid cell;

[0050] The energy equation has the following structure:

[0051]

[0052] wherein, p represents the radiant heat flux; c p represents the corresponding specific heat capacity at constant pressure of the pure hydrogen combustion chamber; T represents the temperature of the pure hydrogen combustion chamber; t represents the time of operation of the pure hydrogen combustion chamber; represents the heat conduction term (Fourier's law), used to describe the diffusion process of heat conduction through materials; T represents the heat conduction gradient, reflecting the driving direction of heat flow; Q c represents the heat released by the hydrogen combustion chemical reaction; Q r represents the radiation heat loss; W represents the adjusted effective thermal conductivity; u represents the wall heat loss coefficient corresponding to each grid cell;

[0053] The temperature value acquisition module is configured to acquire the temperature value corresponding to each grid cell by solving the energy equation in combination with the combustion chamber dynamic pressure fluctuation parameter, the wall temperature distribution data, the flame front position and the fuel instantaneous flow during the operation of the pure hydrogen combustion chamber.

[0054] The predicted temperature value is acquired by using the position weight value corresponding to each grid cell in combination with the temperature value corresponding to each grid cell.

[0055] Further, the grid cell generation module comprises:

[0056] The pure hydrogen combustion chamber grid division coefficient acquisition module is configured to acquire the pure hydrogen combustion chamber grid division coefficient according to the hydrogen combustion rate, the flame front position change amplitude and the radiant heat flux.

[0057] wherein, the pure hydrogen combustion chamber grid division coefficient is acquired by the following formula:

[0058]

[0059] wherein, k represents the pure hydrogen combustion chamber grid division coefficient; v, L and p represent the hydrogen combustion rate, the flame front position change amplitude and the radiant heat flux; v c , L c and p c represent the preset hydrogen combustion rate reference value, the flame front position change amplitude reference value and the radiant heat flux reference value;

[0060] The size retrieval module is configured to retrieve the size corresponding to the basic grid cell;

[0061] The grid size adjustment module is configured to adjust the size (unit: mm 2 ) corresponding to the basic grid cell by using the pure hydrogen combustion chamber grid division coefficient, to generate the set grid cell size;

[0062] The setting grid unit size is obtained by the following formula:

[0063]

[0064] D0 represents the size corresponding to the basic grid unit; k represents the grid division coefficient of the pure hydrogen combustion chamber;

[0065] The grid division module is configured to divide the pure hydrogen combustion chamber according to the setting grid unit size to form a plurality of grid units.

[0066] Further, the energy equation correction module further comprises:

[0067] The pure hydrogen combustion chamber grid division coefficient adjustment module is configured to adjust the setting pure hydrogen combustion chamber grid division coefficient according to the standard deviations of the hydrogen combustion rate, the flame front position change amplitude and the radiation heat flux density to obtain an adjusted pure hydrogen combustion chamber grid division coefficient.

[0068] The adjusted pure hydrogen combustion chamber grid division coefficient is obtained by the following formula:

[0069]

[0070] s represents the adjusted pure hydrogen combustion chamber grid division coefficient; k represents the pure hydrogen combustion chamber grid division coefficient; v b , L b and p b represent the standard deviations of the hydrogen combustion rate, the flame front position change amplitude and the radiation heat flux density.

[0071] The operation monitoring module is configured to obtain an adjusted grid unit according to the adjusted pure hydrogen combustion chamber grid division coefficient, and monitor the current pure hydrogen combustion chamber operation to a preset time length according to the adjusted grid unit.

[0072] The oxidation layer thickness acquisition module is configured to acquire the oxidation layer thickness corresponding to each adjusted grid unit after the pure hydrogen combustion chamber is operated to the preset time length.

[0073] The effective thermal conductivity adjustment module is configured to adjust the effective thermal conductivity by using the oxidation layer thickness.

[0074] The adjusted effective thermal conductivity is obtained by the following formula:

[0075]

[0076] W represents the adjusted effective thermal conductivity; W brepresents the effective thermal conductivity of the pure hydrogen combustion chamber for historical operation data acquisition, i.e., the effective thermal conductivity before adjustment; tanh represents the hyperbolic tangent function, which is used to simulate the nonlinear effect of the oxidation layer on the thermal conductivity; n represents the number of adjusted grid cells of the pure hydrogen combustion chamber; H i represents the oxidation layer thickness of the i-th adjusted grid cell;

[0077] An energy equation correction execution module is configured to substitute the adjusted effective thermal conductivity into an energy equation to generate a corrected energy equation.

[0078] Further, the prediction and early warning module comprises:

[0079] A data acquisition module is configured to acquire fuel data of the pure hydrogen combustion chamber in real time;

[0080] A temperature prediction value acquisition module is configured to input the fuel data of the pure hydrogen combustion chamber into an energy equation and acquire a temperature prediction value through the energy equation;

[0081] An early warning execution module is configured to perform temperature abnormality early warning when the temperature prediction value exceeds a preset temperature threshold.

[0082] The present application has the following advantages:

[0083] The pure hydrogen combustion chamber temperature prediction and early warning method and system based on fuel data proposed by the present application can improve the accuracy of temperature prediction by constructing and correcting the energy equation and fully considering various influencing factors of the pure hydrogen combustion chamber in actual operation. It helps the operator to more accurately understand the trend of the combustion chamber temperature and take timely measures for adjustment. Real-time acquisition of fuel data and temperature prediction using the corrected energy equation can realize real-time monitoring and early warning of the pure hydrogen combustion chamber temperature. When the predicted temperature exceeds the safety range, the system can timely issue an early warning signal to remind the operator to take measures, effectively avoiding the occurrence of safety accidents. This technical solution not only improves the accuracy of temperature prediction, but also enhances the reliability of the system through real-time early warning mechanism. The operator can take timely measures according to the early warning signal to ensure the stable operation of the pure hydrogen combustion chamber and reduce the equipment failure rate and safety risk. Through accurate prediction and early warning of the pure hydrogen combustion chamber temperature, the operator can more accurately control the fuel input and air ratio and other parameters to optimize the combustion efficiency. It helps to reduce energy waste and improve energy utilization efficiency. This technical solution combines data acquisition, equation correction, temperature prediction and early warning, etc. to realize intelligent monitoring and management of the pure hydrogen combustion chamber temperature. It helps to improve the intelligent level of the entire hydrogen energy utilization system and lays a foundation for future automation and intelligent control. BRIEF DESCRIPTION OF DRAWINGS

[0084] Figure 1Flowchart for the method of the present invention;

[0085] Figure 2 System block diagram for the system of the present invention;

[0086] Figure 3 System experiment for the system of the present invention Figure 1 ;

[0087] Figure 4 System experiment for the system of the present invention Figure 2 ;

[0088] Figure 5 System experiment for the system of the present invention Figure 3 . DETAILED DESCRIPTION

[0089] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings, it should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0090] The embodiment of the present invention proposes a pure hydrogen combustion chamber temperature prediction and early warning method based on fuel data, as shown in Figure 1 , the pure hydrogen combustion chamber temperature prediction and early warning method comprises:

[0091] S1, constructing an energy equation according to the fuel data in the historical operation data of the pure hydrogen combustion chamber, and correcting the energy equation to obtain a corrected energy equation;

[0092] S2, collecting the fuel data of the pure hydrogen combustion chamber in real time, and predicting and warning the temperature of the pure hydrogen combustion chamber by using the corrected energy equation.

[0093] The working principle of the above technical solution is: first, according to the fuel data in the historical operation data of the pure hydrogen combustion chamber, an initial energy equation is constructed. Considering various influencing factors that may exist in the actual operation process of the pure hydrogen combustion chamber, the initial energy equation is corrected. The correction process may involve adjusting the coefficients in the equation, adding new variables or terms, etc., to more accurately reflect the actual heat exchange process in the combustion chamber. The real-time collected fuel data is input into the corrected energy equation for calculation to obtain the predicted pure hydrogen combustion chamber temperature. Then, compare the predicted temperature with the preset safe temperature range. If the predicted temperature exceeds the safe range, the early warning mechanism is triggered to remind the operator to take appropriate measures for adjustment.

[0094] The technical scheme has the effects that: by constructing and correcting the energy equation, various influencing factors in the actual operation process of the pure hydrogen combustion chamber are fully considered, thereby improving the accuracy of temperature prediction. It helps the operator to more accurately understand the trend of the combustion chamber temperature and take timely measures for adjustment. Real-time collection of fuel data and temperature prediction using the corrected energy equation can realize real-time monitoring and early warning of the pure hydrogen combustion chamber temperature. When the predicted temperature exceeds the safe range, the system can timely issue a warning signal to remind the operator to take measures, effectively avoiding the occurrence of safety accidents. The technical scheme not only improves the accuracy of temperature prediction, but also enhances the reliability of the system through the real-time warning mechanism. The operator can take timely measures according to the warning signal to ensure the stable operation of the pure hydrogen combustion chamber and reduce the equipment failure rate and safety risk. Through accurate prediction and early warning of the pure hydrogen combustion chamber temperature, the operator can more accurately control parameters such as fuel input and air ratio, thereby optimizing the combustion efficiency. It helps to reduce energy waste and improve energy utilization efficiency. The technical scheme combines data collection, equation correction, temperature prediction and early warning, etc. to realize intelligent monitoring and management of the pure hydrogen combustion chamber temperature. It helps to improve the intelligent level of the entire hydrogen energy utilization system and lays a foundation for future automation and intelligent control.

[0095] In an embodiment of the present application, the energy equation is constructed according to the fuel data in the historical operation data of the pure hydrogen combustion chamber, including:

[0096] S101a, extracting fuel data in the historical operation data of the pure hydrogen combustion chamber; wherein the fuel data includes hydrogen combustion rate, flame front position change amplitude and radiation heat flux density;

[0097] S102a, using the fuel data in the historical operation data of the pure hydrogen combustion chamber to divide the pure hydrogen combustion chamber into grids to form a plurality of grid units;

[0098] An energy equation is established for each grid unit;

[0099] The energy equation structure is as follows:

[0100]

[0101] Wherein, ρ represents the radiation heat flux density; c p represents the specific heat capacity of the pure hydrogen combustion chamber at constant pressure; T represents the temperature of the pure hydrogen combustion chamber; t represents the time of the pure hydrogen combustion chamber operation; represents the heat conduction term (Fourier's law), which is used to describe the diffusion process of heat conduction through materials; T represents the heat conduction gradient, reflecting the driving direction of heat flow; Q c represents the heat released by hydrogen combustion chemical reaction; Qr denoted by radiative heat loss; W represents the adjusted effective thermal conductivity; u represents the wall heat loss coefficient for each grid cell.

[0102] S103a. The temperature value corresponding to each grid cell is obtained by solving the energy equation and combining the dynamic pressure fluctuation parameters of the combustion chamber, wall temperature distribution data, flame front position and instantaneous fuel flow rate during the operation of the pure hydrogen combustion chamber.

[0103] S104a. The predicted temperature value is obtained by weighting the position weight value corresponding to each grid cell and the temperature value corresponding to each grid cell.

[0104] The working principle of the above technical solution is as follows: Key fuel data, including hydrogen combustion rate, flame front position variation, and radiative heat flux density, is extracted from historical operating data of the pure hydrogen combustion chamber. This data forms the basis for constructing the energy equation. The extracted fuel data is used to divide the pure hydrogen combustion chamber into multiple grid cells. Each grid cell represents a local region within the combustion chamber. An energy equation is established for each grid cell, describing the energy changes within the cell, including factors such as heat conduction, heat release from chemical reactions, and radiative heat loss. The parameters in the energy equation (such as radiative heat flux density ρ, specific heat capacity at constant pressure cp, temperature T, time t, heat conduction term, and heat released by the hydrogen combustion chemical reaction Q) are used to construct the energy equation. c Radiative heat loss Q r The adjusted effective thermal conductivity (W) and wall heat loss coefficient (u) are set or calculated based on the specific conditions of the grid cells. Combined with other parameters during the operation of the pure hydrogen combustor (such as dynamic pressure fluctuation parameters, wall temperature distribution data, flame front position, and instantaneous fuel flow rate), the energy equation is solved numerically. The solution results are the temperature values ​​corresponding to each grid cell, reflecting the temperature distribution in different regions of the combustor. A weighted average is calculated based on the positional weight of each grid cell (which may be determined based on factors such as grid size and positional importance), along with its corresponding temperature value. The weighted average result is the predicted overall temperature value of the pure hydrogen combustor, which can effectively reflect the temperature conditions within the combustor.

[0105] The effect of the above technical scheme is that: by comprehensively considering multiple factors (such as hydrogen combustion rate, flame front position, radiant heat flux density, etc.) and establishing an energy equation, the energy change process in the pure hydrogen combustion chamber can be more accurately described. Combined with the solving of other parameters in the combustion chamber operation process, the accuracy of temperature prediction is further improved. By obtaining the temperature distribution data in the combustion chamber, important reference can be provided for the design and optimization of the combustion chamber. The predicted temperature value can be used to monitor the operation state of the combustion chamber. When the temperature is abnormal, timely discovery and adjustment measures can be taken to avoid combustion chamber failure or accident. Accurate temperature prediction helps to optimize the combustion process and improve energy utilization efficiency. By adjusting the combustion conditions or fuel ratio, etc., more efficient energy conversion and utilization can be achieved.

[0106] In an embodiment of the present application, the fuel data in the historical operation data of the pure hydrogen combustion chamber is used to divide the pure hydrogen combustion chamber into multiple grid cells, including:

[0107] S102a1, obtaining a pure hydrogen combustion chamber grid division coefficient according to the hydrogen combustion rate, the flame front position change amplitude and the radiant heat flux density;

[0108] The pure hydrogen combustion chamber grid division coefficient is obtained by the following formula:

[0109]

[0110] Wherein, k represents the pure hydrogen combustion chamber grid division coefficient; v, L and p represent the hydrogen combustion rate, the flame front position change amplitude and the radiant heat flux density; v c , L c and p c represent the preset hydrogen combustion rate reference value, the flame front position change amplitude reference value and the radiant heat flux density reference value;

[0111] S102a2, calling the size corresponding to the basic grid cell;

[0112] S102a3, adjusting the size (unit: mm 2 ) corresponding to the basic grid cell by using the pure hydrogen combustion chamber grid division coefficient to generate a set grid cell size;

[0113] The set grid cell size is obtained by the following formula:

[0114]

[0115] Wherein, D represents the set grid cell size; D0 represents the size corresponding to the basic grid cell; k represents the pure hydrogen combustion chamber grid division coefficient;

[0116] S102a4, grid the pure hydrogen combustion chamber according to the set grid cell size to form a plurality of grid cells.

[0117] The working principle of the above technical solution is: according to three key fuel data of hydrogen combustion rate (v), flame front position change amplitude (L) and radiant heat flux density (ρ), compare with the preset reference value (v c , L c and ρ c ), calculate the pure hydrogen combustion chamber grid division coefficient (k) through a specific formula. The coefficient k reflects the difference between the current fuel data and the preset reference value, which is used to guide the adjustment of the subsequent grid size. From the preset or previously used grid division scheme, the size (D0) corresponding to the basic grid cell is retrieved. The size is usually a standard value or an empirical value, which is used as the starting point of grid division. Adjust the basic grid cell size D0 using the calculated grid division coefficient k to generate the set grid cell size D. The adjustment is to multiply k and D0 by formula (or other operation mode, depending on the formula), to get a grid size that better fits the characteristics of the current fuel data. According to the adjusted set grid cell size D, the pure hydrogen combustion chamber is grid divided to form a plurality of grid cells. These grid cells will be used for subsequent simulation calculation or analysis to more accurately reflect the physical and chemical processes in the combustion chamber.

[0118] The effect of the above technical solution is: by considering the key fuel data such as hydrogen combustion rate, flame front position change amplitude and radiant heat flux density, the generated grid cell size is more in line with the actual situation of the combustion chamber. It helps to more accurately simulate the physical and chemical processes in the combustion chamber, and improves the accuracy and reliability of the simulation calculation. The introduction of grid division coefficient makes the grid size adjustable according to the characteristics of fuel data, avoiding unnecessary waste of computing resources. In areas where the fuel data changes greatly, the grid size can be reduced accordingly to capture more detailed information; while in areas where the change is small, the grid size can be increased to reduce the amount of calculation. Through reasonable grid division, the simulation calculation can be more efficient. Smaller grid cell size can capture more detailed information, but it will also increase the amount of calculation; while larger grid cell size, although the amount of calculation is small, may not accurately reflect the physical and chemical processes in the combustion chamber. This technical solution balances the two aspects, achieving the improvement of calculation efficiency while ensuring the accuracy of calculation. The plurality of grid cells obtained by grid division can be used for subsequent combustion chamber design and optimization work. By analyzing and comparing the physical and chemical processes in different grid cells, potential problems and improvement directions in the combustion chamber can be found out, providing strong support for the design and optimization of the combustion chamber.

[0119] An embodiment of the present application modifies the energy equation to obtain a modified energy equation, comprising:

[0120] S101b, the hydrogen combustion rate, the flame front position change amplitude and the corresponding standard deviation of the radiation heat flux are adjusted to set the pure hydrogen combustion chamber grid division coefficient, and the adjusted pure hydrogen combustion chamber grid division coefficient is obtained;

[0121] The adjusted pure hydrogen combustion chamber grid division coefficient is obtained by the following formula:

[0122]

[0123] Wherein, s represents the adjusted pure hydrogen combustion chamber grid division coefficient; k represents the pure hydrogen combustion chamber grid division coefficient; v b , L b and p b represent the standard deviation of the hydrogen combustion rate, the flame front position change amplitude and the radiation heat flux;

[0124] S102b, the adjusted grid unit is obtained according to the adjusted pure hydrogen combustion chamber grid division coefficient, and the current pure hydrogen combustion chamber is monitored according to the adjusted grid unit until the preset time length;

[0125] S103b, the oxidation layer thickness corresponding to each adjusted grid unit after the pure hydrogen combustion chamber runs to the preset time length is detected;

[0126] S104b, the effective thermal conductivity is adjusted by using the oxidation layer thickness;

[0127] The adjusted effective thermal conductivity is obtained by the following formula:

[0128]

[0129] Wherein, W represents the adjusted effective thermal conductivity; W b represents the effective thermal conductivity obtained by the historical operation data of the pure hydrogen combustion chamber, that is, the effective thermal conductivity before adjustment; tanh represents the hyperbolic tangent function, which is used to simulate the nonlinear influence of the oxidation layer on the thermal conductivity; n represents the number of adjusted grid units of the pure hydrogen combustion chamber; H i represents the oxidation layer thickness of the i th adjusted grid unit;

[0130] S105b, the adjusted effective thermal conductivity is substituted into the energy equation to generate a modified energy equation.

[0131] The working principle of the above technical scheme is as follows: first, the standard deviation (v b , Lb b ). Then, the grid division coefficient (k) of the original pure hydrogen combustion chamber is adjusted using these standard deviations to obtain an adjusted grid division coefficient (s) of the pure hydrogen combustion chamber. The purpose of adjustment is to make the grid division more finely reflect the non-uniformity and volatility in the combustion chamber. According to the adjusted grid division coefficient (s), the adjusted grid cells are obtained. Then, the current pure hydrogen combustion chamber is monitored according to these adjusted grid cells for a preset time length (for example, a complete combustion cycle or a specific time period). After the pure hydrogen combustion chamber runs for the preset time length, the oxidation layer thickness (Hi) corresponding to each adjusted grid cell is detected. The oxidation layer thickness is an important indicator reflecting the degree of influence of the high temperature and chemical reaction on the inner wall material of the combustion chamber. The detected oxidation layer thickness (Hi) is used to adjust the effective thermal conductivity (W). During the adjustment process, the hyperbolic tangent function (tanh) is introduced to simulate the nonlinear influence of the oxidation layer on the thermal conductivity. By calculating the contribution of the oxidation layer thickness of each grid cell to the thermal conductivity, the adjusted effective thermal conductivity (W) is obtained. Finally, the adjusted effective thermal conductivity (W) is substituted into the original energy equation to generate a revised energy equation. The revised energy equation more accurately reflects the physical and chemical processes in the combustion chamber, including heat conduction, chemical reaction heat release and radiation heat loss, etc.

[0132] The effect of the above technical solution is that by considering the hydrogen combustion rate, the flame front position change amplitude and the standard deviation of the radiation heat flux, the grid division coefficient is adjusted to make the grid division more finely reflect the non-uniformity and volatility in the combustion chamber. At the same time, by detecting the oxidation layer thickness and adjusting the effective thermal conductivity, the accuracy of the simulation calculation is further improved. The revised energy equation provides a more accurate simulation calculation tool for the design and optimization of the combustion chamber. Through simulation calculation, the temperature distribution, heat conduction and chemical reaction process in the combustion chamber under different design parameters can be predicted, so as to optimize the structure and material selection of the combustion chamber. Accurate simulation calculation helps to optimize the combustion process and improve the energy utilization efficiency. By adjusting the combustion conditions or fuel ratio, etc., more efficient energy conversion and utilization can be achieved, and energy waste can be reduced. The revised energy equation can also be used to monitor the running state of the combustion chamber. When the physical and chemical processes in the combustion chamber change, simulation calculation can be used to find out and take measures to adjust in time, so as to avoid combustion chamber failure or accident.

[0133] In one embodiment of the present application, the fuel data of the pure hydrogen combustion chamber is collected in real time, and the temperature of the pure hydrogen combustion chamber is predicted and warned using the revised energy equation, including:

[0134] S201, collecting fuel data of the pure hydrogen combustion chamber in real time;

[0135] ​S202, input the fuel data of the pure hydrogen combustion chamber into the energy equation, and obtain a temperature prediction value through the energy equation;

[0136] S203, when the temperature prediction value exceeds a preset temperature threshold, a temperature abnormality early warning is performed.

[0137] The working principle of the above technical solution is that through the sensor network installed in the pure hydrogen combustion chamber, real-time collection of fuel data is performed, including key parameters such as hydrogen combustion rate, flame front position change amplitude, and radiant heat flux density. The sensors include but are not limited to temperature sensors, pressure sensors, flow sensors, etc., which can monitor various physical and chemical processes in the combustion chamber in real time. The collected fuel data is input into the corrected energy equation. The corrected energy equation considers the non-uniformity and volatility in the combustion chamber, as well as the nonlinear influence of the oxidation layer on the thermal conductivity, so it can more accurately reflect the physical and chemical processes in the combustion chamber. Through calculation, the energy equation outputs a temperature prediction value, i.e., the future temperature distribution in the combustion chamber. The temperature prediction value is compared with the preset temperature threshold. If the temperature prediction value exceeds the preset temperature threshold, a temperature abnormality early warning is triggered, prompting the operator to take appropriate measures, such as adjusting the fuel ratio, changing the combustion conditions, or starting the emergency cooling system, to prevent the combustion chamber from overheating or other failures.

[0138] The effect of the above technical solution is that by real-time collection of fuel data and temperature prediction using the corrected energy equation, abnormal conditions in the combustion chamber can be discovered in time, improving the accuracy of early warning. It helps the operator to take timely measures to prevent the combustion chamber from overheating or other failures, ensuring the safe operation of the equipment. Real-time collection of fuel data can be used to analyze the stability and efficiency of the combustion process. By adjusting the fuel ratio or combustion conditions, the combustion process can be optimized, the energy utilization efficiency can be improved, and energy waste can be reduced. Regular temperature prediction and early warning help to discover potential failures or risks in the combustion chamber in time. It helps maintenance personnel to perform equipment maintenance and maintenance in advance, prolongs the service life of the equipment, and improves the reliability of the equipment. The technical solution realizes the automation process of real-time data collection, temperature prediction, and early warning. It reduces the need for manual intervention, improves the convenience and efficiency of operation.

[0139] The embodiment of the present application proposes a pure hydrogen combustion chamber temperature prediction and early warning system based on fuel data, as shown in Figures 2 to 5 The pure hydrogen combustion chamber temperature prediction and early warning system includes:

[0140] An energy equation correction module is configured to construct an energy equation according to fuel data in historical operation data of the pure hydrogen combustion chamber, correct the energy equation, and obtain a corrected energy equation.

[0141] The prediction and early warning module is used for collecting fuel data of the pure hydrogen combustion chamber in real time, and predicting and warning the temperature of the pure hydrogen combustion chamber by using the corrected energy equation.

[0142] The working principle of the above technical solution is as follows: first, the initial energy equation is constructed according to the fuel data in the historical operation data of the pure hydrogen combustion chamber. Considering various influencing factors that may exist in the actual operation process of the pure hydrogen combustion chamber, the initial energy equation is corrected. The correction process may involve adjusting the coefficients in the equation, adding new variables or terms, etc., to more accurately reflect the actual heat exchange process in the combustion chamber. The real-time collected fuel data is input into the corrected energy equation for calculation to obtain the predicted temperature of the pure hydrogen combustion chamber. Then, the predicted temperature is compared with the preset safe temperature range. If the predicted temperature exceeds the safe range, the early warning mechanism is triggered to remind the operator to take appropriate measures for adjustment.

[0143] The effect of the above technical solution is that by constructing and correcting the energy equation, various influencing factors of the pure hydrogen combustion chamber in the actual operation process are fully considered, thereby improving the accuracy of temperature prediction. It helps the operator to more accurately understand the trend of the combustion chamber temperature and take timely measures for adjustment. Real-time collection of fuel data and temperature prediction by using the corrected energy equation can realize real-time monitoring and early warning of the temperature of the pure hydrogen combustion chamber. When the predicted temperature exceeds the safe range, the system can timely issue an early warning signal to remind the operator to take measures, effectively avoiding the occurrence of safety accidents. The technical solution not only improves the accuracy of temperature prediction, but also enhances the reliability of the system through the real-time early warning mechanism. The operator can take timely measures according to the early warning signal to ensure the stable operation of the pure hydrogen combustion chamber and reduce the equipment failure rate and safety risk. Through accurate prediction and early warning of the temperature of the pure hydrogen combustion chamber, the operator can more accurately control the fuel input and air ratio parameters, thereby optimizing the combustion efficiency. It helps to reduce energy waste and improve energy utilization efficiency. The technical solution combines data collection, equation correction, temperature prediction and early warning, etc. to realize intelligent monitoring and management of the temperature of the pure hydrogen combustion chamber. It helps to improve the intelligent level of the entire hydrogen energy utilization system and lays a foundation for future automation and intelligent control.

[0144] In an embodiment of the present application, the energy equation correction module comprises:

[0145] The fuel data extraction module is used for extracting fuel data in the historical operation data of the pure hydrogen combustion chamber; wherein the fuel data includes hydrogen combustion rate, flame front position change amplitude and radiation heat flux density;

[0146] a grid unit generation module configured to divide the pure hydrogen combustion chamber into a plurality of grid units by using fuel data in historical operation data of the pure hydrogen combustion chamber;

[0147] an energy equation establishment module configured to establish an energy equation for each grid unit;

[0148] wherein the energy equation is structured as follows:

[0149]

[0150] wherein p represents a radiation heat flux density; c p represents a specific heat capacity at constant pressure corresponding to the pure hydrogen combustion chamber; T represents a temperature of the pure hydrogen combustion chamber; t represents a time of operation of the pure hydrogen combustion chamber; represents a heat conduction term (Fourier's law) for describing a diffusion process of heat conduction through a material; T represents a heat conduction gradient, reflecting a driving direction of a heat flow; Q c represents a heat released by a hydrogen combustion chemical reaction; Q r represents a radiation heat loss; W represents an adjusted effective thermal conductivity; u represents a wall heat loss coefficient corresponding to each grid unit;

[0151] a temperature value acquisition module configured to acquire a temperature value corresponding to each grid unit by solving the energy equation in combination with combustion chamber dynamic pressure fluctuation parameters, wall temperature distribution data, a flame front position, and fuel instantaneous flow rate during an operation process of the pure hydrogen combustion chamber;

[0152] a position weight value acquisition module configured to acquire a position weight value corresponding to each grid unit by using the grid unit generation module; and

[0153] The working principle of the above technical solution is as follows: key fuel data, including a hydrogen combustion rate, a flame front position change amplitude, and a radiation heat flux density, are extracted from historical operation data of a pure hydrogen combustion chamber. These data are the basis for constructing an energy equation. The pure hydrogen combustion chamber is divided into a plurality of grid units by using the extracted fuel data. Each grid unit represents a local area in the combustion chamber. An energy equation is established for each grid unit, which describes the change of energy in the unit, including heat conduction, chemical reaction heat release, radiation heat loss, and other factors. Parameters in the energy equation, such as a radiation heat flux density p, a specific heat capacity at constant pressure c p , a temperature T, a time t, a heat conduction term, a heat released by a hydrogen combustion chemical reaction Q c , and a radiation heat loss Q rThe effective thermal conductivity W, the wall heat loss coefficient u, and the like are set or calculated according to the specific conditions of the grid cells. In combination with other parameters (such as a combustion chamber dynamic pressure fluctuation parameter, a wall temperature distribution data, a flame front position, and a fuel instantaneous flow, and the like) in the operation process of the pure hydrogen combustion chamber, the energy equation is solved by a numerical method. The solution result is a temperature value corresponding to each grid cell, which reflects the temperature distribution in different regions in the combustion chamber. According to the position weight value (which may be determined based on factors such as grid size, position importance, and the like) of each grid cell, the corresponding temperature value is weighted and averaged. The result of the weighted average is the predicted overall temperature value of the pure hydrogen combustion chamber, which can better reflect the temperature condition in the combustion chamber.

[0154] The effect of the above technical solution is that: by comprehensively considering various factors (such as hydrogen combustion rate, flame front position, and radiant heat flux density) and establishing an energy equation, the energy change process in the pure hydrogen combustion chamber can be more accurately described. In combination with other parameters in the operation process of the combustion chamber, the accuracy of temperature prediction is further improved. By obtaining the temperature distribution data in the combustion chamber, important reference can be provided for the design and optimization of the combustion chamber. The predicted temperature value can be used to monitor the operation state of the combustion chamber. When the temperature is abnormal, timely discovery and adjustment measures can be taken to avoid combustion chamber failure or accident. Accurate temperature prediction helps to optimize the combustion process and improve energy utilization efficiency. By adjusting the combustion conditions or fuel ratio, more efficient energy conversion and utilization can be achieved.

[0155] In an embodiment of the present application, the grid cell generation module comprises:

[0156] A pure hydrogen combustion chamber grid division coefficient acquisition module is configured to acquire a pure hydrogen combustion chamber grid division coefficient according to the hydrogen combustion rate, the flame front position change amplitude, and the radiant heat flux density.

[0157] The pure hydrogen combustion chamber grid division coefficient is acquired by the following formula:

[0158]

[0159] Wherein, k represents the pure hydrogen combustion chamber grid division coefficient; v, L, and p represent the hydrogen combustion rate, the flame front position change amplitude, and the radiant heat flux density; v c , L c , and p c represent the preset hydrogen combustion rate reference value, the flame front position change amplitude reference value, and the radiant heat flux density reference value.

[0160] A size retrieval module is configured to retrieve the size corresponding to the basic grid cell.

[0161] A grid size adjustment module is configured to adjust a size (unit: mm) of a basic grid unit corresponding to the pure hydrogen combustion chamber grid division coefficient, to generate a set grid unit size; 2

[0162] The set grid unit size is obtained by the following formula:

[0163]

[0164] wherein D represents the set grid unit size; D0 represents the size of the basic grid unit; and k represents the pure hydrogen combustion chamber grid division coefficient;

[0165] A grid division module is configured to divide the pure hydrogen combustion chamber into a plurality of grid units according to the set grid unit size.

[0166] The working principle of the above technical solution is as follows: according to three key fuel data, i.e., hydrogen combustion rate (v), flame front position change amplitude (L), and radiant heat flux density (p), comparison is made with preset reference values (v c , L c , and p c ), and a pure hydrogen combustion chamber grid division coefficient (k) is calculated through a specific formula. The coefficient k reflects the difference between the current fuel data and the preset reference values, and is used to guide the subsequent adjustment of the grid size. The size (D0) of the basic grid unit is retrieved from the preset or previously used grid division scheme. The size is usually a standard value or an empirical value, and is used as the starting point for grid division. The calculated grid division coefficient k is used to adjust the size D0 of the basic grid unit, to generate a set grid unit size D. The adjustment is performed by multiplying k and D0 through a formula (or other operation methods, depending on the formula), to obtain a grid size that is more consistent with the characteristics of the current fuel data. The pure hydrogen combustion chamber is divided into a plurality of grid units according to the adjusted set grid unit size D. These grid units will be used for subsequent simulation calculations or analysis, to more accurately reflect the physical and chemical processes in the combustion chamber.

[0167] ​The technical scheme has the following effects: By considering key fuel data such as hydrogen combustion rate, flame front position change range and radiant heat flux density, the generated grid cell size is more in line with the actual situation of the combustion chamber. It is helpful to more accurately simulate the physical and chemical processes in the combustion chamber, and improve the accuracy and reliability of the simulation calculation. The introduction of the grid division coefficient enables the grid size to be adjusted according to the characteristics of the fuel data, avoiding unnecessary waste of computing resources. In the area where the fuel data changes greatly, the grid size can be correspondingly reduced to capture more detailed information; and in the area where the change is small, the grid size can be increased to reduce the amount of calculation. Through reasonable grid division, the simulation calculation can be more efficient. Smaller grid cell size can capture more detailed information, but it will also increase the amount of calculation; and larger grid cell size, although the amount of calculation is small, may not accurately reflect the physical and chemical processes in the combustion chamber. The technical scheme balances the two aspects to improve the calculation efficiency while ensuring the calculation accuracy. The multiple grid cells obtained through grid division can be used for subsequent combustion chamber design and optimization work. By analyzing and comparing the physical and chemical processes in different grid cells, potential problems and improvement directions in the combustion chamber can be found out, providing strong support for the design and optimization of the combustion chamber.

[0168] In an embodiment of the present application, the energy equation correction module further comprises:

[0169] The pure hydrogen combustion chamber grid division coefficient adjustment module is configured to adjust the pure hydrogen combustion chamber grid division coefficient based on the standard deviations of the hydrogen combustion rate, the flame front position change range and the radiant heat flux density, and obtain an adjusted pure hydrogen combustion chamber grid division coefficient.

[0170] The adjusted pure hydrogen combustion chamber grid division coefficient is obtained by the following formula:

[0171]

[0172] Wherein, s represents the adjusted pure hydrogen combustion chamber grid division coefficient; k represents the pure hydrogen combustion chamber grid division coefficient; v b , L b and p b represent the standard deviations of the hydrogen combustion rate, the flame front position change range and the radiant heat flux density.

[0173] The operation monitoring module is configured to obtain an adjusted grid cell according to the adjusted pure hydrogen combustion chamber grid division coefficient, and monitor the current pure hydrogen combustion chamber operation to a preset time length according to the adjusted grid cell.

[0174] The oxidation layer thickness acquisition module is configured to acquire the oxidation layer thickness corresponding to each adjusted grid cell after the pure hydrogen combustion chamber is operated to the preset time length.

[0175] an effective thermal conductivity adjustment module configured to adjust the effective thermal conductivity using the oxide layer thickness;

[0176] wherein the adjusted effective thermal conductivity is obtained by the following formula:

[0177]

[0178] wherein W represents the adjusted effective thermal conductivity; W b represents the effective thermal conductivity obtained from historical operation data of the pure hydrogen combustion chamber, i.e., the effective thermal conductivity before adjustment; tanh represents the hyperbolic tangent function, used to simulate the nonlinear effect of the oxide layer on the thermal conductivity; n represents the number of adjusted grid cells of the pure hydrogen combustion chamber; H i represents the oxide layer thickness of the i-th adjusted grid cell;

[0179] an energy equation correction execution module configured to substitute the adjusted effective thermal conductivity into the energy equation to generate a corrected energy equation.

[0180] The working principle of the above technical solution is as follows: first, the standard deviations (v b , L b , p b ) corresponding to the hydrogen combustion rate, the flame front position change amplitude and the radiation heat flux density are retrieved. Then, the original pure hydrogen combustion chamber grid division coefficient (k) is adjusted using these standard deviations to obtain the adjusted pure hydrogen combustion chamber grid division coefficient (s). The purpose of adjustment is to make the grid division more finely reflect the non-uniformity and volatility in the combustion chamber. According to the adjusted grid division coefficient (s), the adjusted grid cells are obtained. Then, the current pure hydrogen combustion chamber is monitored according to these adjusted grid cells for a preset length of time (for example, a complete combustion period or a specific time period). After the pure hydrogen combustion chamber runs for the preset length of time, the oxide layer thickness (Hi) corresponding to each adjusted grid cell is detected. The oxide layer thickness is an important indicator reflecting the degree of influence of the combustion chamber inner wall material under high temperature and chemical reaction. The detected oxide layer thickness (Hi) is used to adjust the effective thermal conductivity (W). During the adjustment process, the hyperbolic tangent function (tanh) is introduced to simulate the nonlinear effect of the oxide layer on the thermal conductivity. By calculating the contribution of the oxide layer thickness of each grid cell to the thermal conductivity, the adjusted effective thermal conductivity (W) is obtained. Finally, the adjusted effective thermal conductivity (W) is substituted into the original energy equation to generate a corrected energy equation. The corrected energy equation more accurately reflects the physical and chemical processes in the combustion chamber, including heat conduction, chemical reaction heat release and radiation heat loss, etc.

[0181] The effects of the above technical solutions are: by considering the hydrogen combustion rate, the flame front position change amplitude and the standard deviation of the radiant heat flux density, the grid division coefficient is adjusted, so that the grid division more accurately reflects the non-uniformity and volatility in the combustion chamber. At the same time, by detecting the oxidation layer thickness and adjusting the effective thermal conductivity, the accuracy of the simulation calculation is further improved. The corrected energy equation provides a more accurate simulation tool for the design and optimization of the combustion chamber. Through simulation calculation, the temperature distribution, heat conduction and chemical reaction process in the combustion chamber under different design parameters can be predicted, so as to optimize the structure and material selection of the combustion chamber. Accurate simulation calculation helps to optimize the combustion process and improve energy utilization efficiency. By adjusting the combustion conditions or fuel ratio, etc., more efficient energy conversion and utilization can be achieved, and energy waste can be reduced. The corrected energy equation can also be used to monitor the running state of the combustion chamber. When the physical and chemical processes in the combustion chamber change, simulation calculation can be used to find out and take measures to adjust in time, so as to avoid combustion chamber failure or accident.

[0182] In an embodiment of the present application, the prediction and early warning module comprises:

[0183] A data acquisition module is configured to acquire fuel data of the pure hydrogen combustion chamber in real time.

[0184] A temperature prediction value acquisition module is configured to input the fuel data of the pure hydrogen combustion chamber into the energy equation and acquire a temperature prediction value through the energy equation.

[0185] An early warning execution module is configured to perform temperature abnormality early warning when the temperature prediction value exceeds a preset temperature threshold.

[0186] The working principle of the above technical solutions is: through the sensor network installed in the pure hydrogen combustion chamber, fuel data is acquired in real time, including hydrogen combustion rate, flame front position change amplitude, radiant heat flux density and other key parameters. The sensors include but are not limited to temperature sensors, pressure sensors, flow sensors, etc., which can monitor various physical and chemical processes in the combustion chamber in real time. The collected fuel data is input into the corrected energy equation. The corrected energy equation considers the non-uniformity and volatility in the combustion chamber, as well as the nonlinear influence of the oxidation layer on the thermal conductivity, so it can more accurately reflect the physical and chemical processes in the combustion chamber. Through calculation, the energy equation outputs the temperature prediction value, i.e. the future temperature distribution in the combustion chamber. The temperature prediction value is compared with the preset temperature threshold. If the temperature prediction value exceeds the preset temperature threshold, temperature abnormality early warning is triggered, prompting the operator to take appropriate measures, such as adjusting the fuel ratio, changing the combustion conditions or starting the emergency cooling system, to prevent the combustion chamber from overheating or other failures.

[0187] The effect of the above technical scheme is that by collecting fuel data in real time and using the corrected energy equation to predict the temperature, the abnormal situation in the combustion chamber can be found in time, and the accuracy of early warning is improved. It is helpful for the operator to take measures in time to prevent the combustion chamber from overheating or other failures and to ensure the safe operation of the equipment. The real-time collected fuel data can be used to analyze the stability and efficiency of the combustion process. By adjusting the fuel ratio or combustion conditions, the combustion process can be optimized, the energy utilization efficiency can be improved, and energy waste can be reduced. Regular temperature prediction and early warning can help to find potential failures or risks in the combustion chamber in time. It is helpful for maintenance personnel to carry out equipment maintenance and maintenance in advance, prolong the service life of the equipment, and improve the reliability of the equipment. The technical scheme realizes the automation process of real-time data collection, temperature prediction and early warning. The need for manual intervention is reduced, and the convenience and efficiency of operation are improved.

[0188] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. For example, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application also intends to include these modifications and variations.

Claims

1. A method for predicting and warning the temperature of a pure hydrogen combustion chamber based on fuel data, characterized in that, The pure hydrogen combustion chamber temperature prediction and early warning method includes: An energy equation is constructed based on fuel data from the historical operating data of the pure hydrogen combustion chamber, and the energy equation is then modified to obtain the modified energy equation. Real-time fuel data of the pure hydrogen combustion chamber is collected, and the temperature of the pure hydrogen combustion chamber is predicted and warned using the modified energy equation. An energy equation is constructed based on fuel data from the historical operating data of the pure hydrogen combustion chamber, including: Extract fuel data from the historical operating data of the pure hydrogen combustion chamber; wherein, the fuel data includes hydrogen combustion rate, flame front position variation, and radiative heat flux density; The pure hydrogen combustion chamber is divided into multiple grid cells using fuel data from its historical operating data. Establish an energy equation for each grid cell; The temperature value corresponding to each grid cell is obtained by solving the energy equation and combining the dynamic pressure fluctuation parameters of the combustion chamber, wall temperature distribution data, flame front position and instantaneous fuel flow data during the operation of the pure hydrogen combustion chamber. The predicted temperature value is obtained by combining the position weight value corresponding to each grid cell with the temperature value corresponding to each grid cell and performing a weighted average. The energy equation is modified to obtain the modified energy equation, including: The standard deviations corresponding to hydrogen combustion rate, flame front position change, and radiant heat flux density are retrieved to adjust the set pure hydrogen combustion chamber grid division coefficient, and the adjusted pure hydrogen combustion chamber grid division coefficient is obtained. The adjusted grid cells are obtained according to the adjusted pure hydrogen combustion chamber grid division coefficient, and the current pure hydrogen combustion chamber is monitored to run for a preset time length according to the adjusted grid cells; The oxide layer thickness of each adjusted grid cell was detected after the pure hydrogen combustion chamber had been running for a preset time. The effective thermal conductivity is adjusted by utilizing the thickness of the oxide layer; Substituting the adjusted effective thermal conductivity into the energy equation, a revised energy equation is generated. Real-time fuel data from the pure hydrogen combustion chamber is collected, and the temperature of the pure hydrogen combustion chamber is predicted and warned using a modified energy equation, including: Real-time acquisition of fuel data from the pure hydrogen combustion chamber; The fuel data of the pure hydrogen combustion chamber is input into the energy equation, and the temperature prediction value is obtained through the energy equation. When the predicted temperature value exceeds the preset temperature threshold, a temperature anomaly warning will be issued.

2. The method for predicting and warning the temperature of a pure hydrogen combustion chamber based on fuel data according to claim 1, characterized in that, The pure hydrogen combustion chamber is divided into multiple grid cells using fuel data from its historical operating data, including: The pure hydrogen combustion chamber grid division coefficient is obtained based on the hydrogen combustion rate, the flame front position variation, and the radiative heat flux density. Retrieve the dimensions corresponding to the basic mesh unit; The size of the basic grid unit is adjusted using the grid division coefficient of the pure hydrogen combustion chamber to generate the set grid unit size; The pure hydrogen combustion chamber is divided into multiple grid units according to the set grid unit size.

3. A system for implementing the pure hydrogen combustion chamber temperature prediction and early warning method based on fuel data as described in claim 1, characterized in that, The system for the pure hydrogen combustion chamber temperature prediction and early warning method includes: The energy equation correction module is used to construct an energy equation based on fuel data from the historical operating data of the pure hydrogen combustion chamber, and to correct the energy equation to obtain the corrected energy equation. The prediction and early warning module is used to collect fuel data from the pure hydrogen combustion chamber in real time and to predict and warn of the temperature of the pure hydrogen combustion chamber using the modified energy equation.

4. The system for predicting and warning the temperature of a pure hydrogen combustion chamber based on fuel data according to claim 3, characterized in that, The energy equation correction module includes: The fuel data extraction module is used to extract fuel data from the historical operating data of the pure hydrogen combustion chamber; wherein, the fuel data includes hydrogen combustion rate, flame front position change range and radiative heat flux density; The grid cell generation module is used to divide the pure hydrogen combustion chamber into grids using fuel data from the historical operating data of the pure hydrogen combustion chamber, forming multiple grid cells. The energy equation establishment module is used to establish the energy equation for each grid cell; The temperature value acquisition module is used to obtain the temperature value corresponding to each grid cell by solving the energy equation and combining the dynamic pressure fluctuation parameters of the combustion chamber, wall temperature distribution data, flame front position and instantaneous fuel flow data during the operation of the pure hydrogen combustion chamber. The predicted temperature value is obtained by weighting the position weight value corresponding to each grid cell and the temperature value corresponding to each grid cell.

5. The system for predicting and warning the temperature of a pure hydrogen combustion chamber based on fuel data according to claim 4, characterized in that, The mesh cell generation module includes: A pure hydrogen combustion chamber grid division coefficient acquisition module is used to acquire the pure hydrogen combustion chamber grid division coefficient based on the hydrogen combustion rate, the flame front position change amplitude and the radiative heat flux density. The size retrieval module is used to retrieve the size corresponding to the basic mesh unit; The grid size adjustment module is used to adjust the size of the basic grid unit using the grid division coefficient of the pure hydrogen combustion chamber, and generate the set grid unit size; The grid division module is used to divide the pure hydrogen combustion chamber into multiple grid units according to the set grid unit size.

6. The system for predicting and warning the temperature of a pure hydrogen combustion chamber based on fuel data according to claim 3, characterized in that, The energy equation correction module also includes: The pure hydrogen combustion chamber grid division coefficient adjustment module is used to retrieve the standard deviations corresponding to the hydrogen combustion rate, the flame front position change range, and the radiant heat flux density to adjust the set pure hydrogen combustion chamber grid division coefficients and obtain the adjusted pure hydrogen combustion chamber grid division coefficients. The operation monitoring module is used to obtain the adjusted grid cells according to the adjusted pure hydrogen combustion chamber grid division coefficient, and monitor the current pure hydrogen combustion chamber operation until the preset time length according to the adjusted grid cells; The oxide layer thickness acquisition module is used to acquire the oxide layer thickness of each adjusted grid cell after the pure hydrogen combustion chamber has been running for a preset time. An effective thermal conductivity adjustment module is used to adjust the effective thermal conductivity based on the oxide layer thickness; The energy equation correction execution module is used to substitute the adjusted effective thermal conductivity into the energy equation to generate the corrected energy equation.

7. The system for predicting and warning the temperature of a pure hydrogen combustion chamber based on fuel data according to claim 3, characterized in that, The prediction and early warning module includes: The data acquisition module is used to collect fuel data from the pure hydrogen combustion chamber in real time. The temperature prediction value acquisition module is used to input the fuel data of the pure hydrogen combustion chamber into the energy equation and obtain the temperature prediction value through the energy equation. The early warning execution module is used to issue an abnormal temperature warning when the predicted temperature value exceeds a preset temperature threshold.

Images