Binary low-carbon fuel combustion control system

Abstract

The invention discloses a binary low-carbon fuel combustion control system, and relates to the field of combustion control. The method comprises the following steps: a central control unit which is in communication connection with a pressure sensor, a temperature sensor, a gas flowmeter and a waste gas detection system, monitors a fuel mixing ratio, a combustion state and waste gas components in real time according to pressure and temperature data, and outputs a control instruction for regulating and controlling the temperature, the pressure and the gas flow by utilizing a machine learning algorithm; and the double cross amplitude limiting control system is in communication connection with the central control unit and is used for dynamically adjusting the fuel mixing ratio in the premixing chamber and the air-fuel ratio in the combustion chamber according to a preset target. Through real-time monitoring, real-time data monitoring and proportion adjusting technologies, the combustion condition can be more accurately controlled, the combustion efficiency is improved, and meanwhile emission of harmful gas is reduced. Meanwhile, combustion parameters are adjusted in combination with a machine learning algorithm, accurate combustion control under different loads and environment conditions can be adapted, and intelligent adjustment is achieved.

Description

Technical Field

[0001] This application relates to the technical field of combustion control, and particularly to a binary low-carbon fuel combustion control system. Background Art

[0002] With the continuous growth of global energy demand and the increasing pressure of environmental protection, the development of clean and efficient combustion technologies has become the focus of current research. During the combustion process of traditional fuels, a large amount of harmful gases are often emitted, seriously affecting environmental quality. Therefore, in order to achieve low emissions and high efficiency during the combustion process, the application of binary mixed gases (such as the mixture of methane and ammonia) as alternative fuels has gradually attracted attention.

[0003] The mixed combustion system of methane and ammonia has high energy density and low emission characteristics, especially showing significant advantages in controlling the emissions of nitrogen oxides (NOx) and carbon dioxide (CO2). However, the combustion characteristics of this mixed gas are relatively complex, and the combustion efficiency and emission situation are affected by various factors such as gas mixing ratio, temperature, and pressure. Therefore, during the combustion process, how to precisely control the gas mixing ratio and maintain ideal temperature and pressure conditions has become the key to improving combustion efficiency and reducing emissions.

[0004] In the prior art, although some control systems based on the combustion of premixed gases have emerged, they still face technical challenges such as achieving precise control of the gas mixing ratio, ensuring the stability of the combustion process, and low emissions. Summary of the Invention

[0005] Based on this, it is necessary to provide a binary low-carbon fuel combustion control system that can more precisely control combustion conditions, improve combustion efficiency, and reduce the emissions of harmful gases for the above technical problems.

[0006] This application provides a binary low-carbon fuel combustion control system. The system includes:

[0007] including a premixing chamber and a combustion chamber;

[0008] A pressure sensor and a temperature sensor, respectively used to collect the pressure of the premixing chamber and the temperature of the combustion chamber in real time;

[0009] A gas flow meter, used to collect the gas flow rates entering the premixing chamber and the combustion chamber in real time;

[0010] An exhaust gas detection system, used to collect the exhaust gas parameters after combustion;

[0011] A central control unit, communicatively connected to a pressure sensor, a temperature sensor, a gas flow meter, and an exhaust gas detection system, monitors in real time the fuel mixing ratio in the premixing chamber, the combustion state in the combustion chamber, and the exhaust gas components based on pressure and temperature data, and uses machine learning algorithms to output control instructions for regulating temperature, pressure, and gas flow;

[0012] A dual cross-limiting control system, communicatively connected to the central control unit, is used to dynamically adjust the fuel mixing ratio in the premixing chamber and the air-fuel ratio in the combustion chamber according to a preset target, and output an adjustment signal to the central control unit to cause the central control unit to output a control instruction for regulating the gas flow.

[0013] In one embodiment, the system further includes:

[0014] A pressure regulator, configured to preset a target pressure value according to the control instruction of the central control unit;

[0015] A temperature regulator, configured to preset a target temperature value according to the control instruction of the central control unit;

[0016] An air-fuel ratio regulator, configured to preset a target air-fuel ratio coefficient and a compensation coefficient according to the control instruction of the central control unit;

[0017] A flow regulator, configured to regulate the gas flow according to the control instruction of the central control unit.

[0018] In one embodiment, the dual cross-limiting control system includes:

[0019] A first-layer cross-limiting sub-module, configured to dynamically adjust a correction coefficient according to the target fuel mixing ratio and the actual fuel mixing ratio, and determine an adjustment signal for the flow regulator in combination with the deviation between the actual pressure value and the target pressure value, so as to achieve cross-limiting adjustment of fuel premixing;

[0020] A second-layer cross-limiting sub-module, configured to determine an adjustment signal for the flow regulator based on the actual fuel mixing ratio adjusted by the first-layer cross-limiting sub-module, in combination with the deviation between the actual temperature value and the target temperature value, and the target air-fuel ratio coefficient and the compensation coefficient, so as to achieve cross-limiting adjustment between fuel and oxygen.

[0021] In one embodiment, an air excess coefficient and a range correction coefficient are introduced in the second-layer cross-limiting sub-module, and after determining the adjustment signal for the flow regulator, the adjustment signal is corrected by using the air excess coefficient and the range correction coefficient.

[0022] In one embodiment, the combustion chamber communicates with the exhaust gas treatment system through an exhaust port, and an exhaust control valve is provided at the exhaust port; the central control unit is communicatively connected to the exhaust control valve and issues a control instruction to the exhaust control valve according to the exhaust gas parameters received from the exhaust gas detection system.

[0023] In one embodiment, the binary low-carbon fuel includes methane and ammonia.

[0024] In one embodiment, the exhaust gas detection system includes a nitric oxide detection device, a carbon monoxide detection device, a hydrogen detection device, and a nitride detection device.

[0025] In one embodiment, the central control unit uses machine learning algorithms and historical data for fault diagnosis and adaptive combustion parameter optimization.

[0026] The above-mentioned binary low-carbon fuel combustion control system includes: a pressure sensor and a temperature sensor, which are respectively used to collect the pressure of the premixing chamber and the temperature of the combustion chamber in real time; a gas flow meter, which is used to collect the gas flow rates entering the premixing chamber and the combustion chamber in real time; an exhaust gas detection system, which is used to collect the exhaust gas parameters after combustion; a central control unit, which is communicatively connected to the pressure sensor, the temperature sensor, the gas flow meter, and the exhaust gas detection system, and monitors the fuel mixing ratio in the premixing chamber, the combustion state in the combustion chamber, and the exhaust gas components in real time according to the pressure and temperature data, and uses machine learning algorithms to output control instructions for regulating the temperature, pressure, and gas flow rate; a dual cross-limiting control system, which is communicatively connected to the central control unit, and is used to dynamically adjust the fuel mixing ratio in the premixing chamber and the air-fuel ratio in the combustion chamber according to a preset target, and output an adjustment signal to the central control unit to make the central control unit output a control instruction for regulating the gas flow rate. Through real-time monitoring of real-time data and proportional adjustment technology, the combustion conditions can be controlled more precisely, the combustion efficiency can be improved, and the emissions of harmful gases can be reduced at the same time. At the same time, combining machine learning algorithms for combustion parameter adjustment can achieve precise control of combustion under different loads and environmental conditions and realize intelligent adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a structural block diagram of a binary low-carbon fuel combustion control system in one embodiment;

[0028] Figure 2 It is a structural block diagram of a dual cross-limiting control system in one embodiment;

[0029] Figure 3 It is a structural block diagram of an exhaust gas treatment system in one embodiment.

[0030] Description of the Drawings: 100, Central control unit; 210, Methane control valve; 220, Methane flowmeter; 310, Ammonia control valve; 320, Ammonia flowmeter; 410, Air control valve; 420, Air flowmeter; 500, Dual cross-limiting control system; 600, Pressure sensor; 700, Temperature sensor; 810, Exhaust control valve; 820, Exhaust port; 900, Exhaust gas detection system; 910, Carbon monoxide detection device; 920, Nitric oxide detection device; 930, Nitride detection device; 940, Hydrogen detection device. Detailed implementation manners

[0031] In order to make the objectives, technical solutions and advantages of the present application more clear and understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0032] The embodiment of the present application provides a binary low-carbon fuel combustion control system, including a premixing chamber and a combustion chamber, which are respectively used for mixing and burning binary fuels.

[0033] In one embodiment, the binary fuel can be methane (CH4) and ammonia (NH3), aiming to achieve an efficient, low-cost and environmentally friendly energy solution. As shown in the data in Table 1, methane, as a high and low calorific value fuel (50 MJ / kg), can provide a high energy output during combustion, but its low-temperature storage and transportation costs are relatively high, and special safety handling conditions are required. The low calorific value of ammonia (18.6 MJ / kg) is relatively low, but it does not produce carbon dioxide (CO2) during combustion, but generates nitrogen (N2) and water vapor (H2O), which has significant environmental advantages. In addition, the storage and transportation conditions of ammonia are relatively loose, giving it certain advantages in terms of economy.

[0034] Table 1 Basic characteristics of CH4, NH3, and H2

[0035] Fuel CH4 NH3 H2 Boiling temperature (°C) at 1 atm -161 -33.4 -253 Lower heating value (MJ / Kg) 50 18.6 120 Minimum auto-ignition temperature (°C) 630 650 520 Maximum laminar burning velocity (m / s) 0.37 0.07 2.91

[0036] This embodiment effectively reduces the emissions of greenhouse gases such as carbon dioxide by using the method of mixing ammonia with methane as fuel, thereby reducing the negative impact on climate change, which is crucial for coping with the challenges of global warming and climate change. By combining ammonia with methane, carbon dioxide emissions can be reduced while ensuring combustion efficiency, thereby promoting the application of low-carbon energy. In addition, the use of ammonia-mixed methane as fuel helps to reduce the dependence on fossil fuels. Traditional fossil fuels, such as coal and oil, not only emit a large amount of greenhouse gases, but also cause environmental pollution and energy security problems. Combining ammonia with methane can reduce the dependence on limited resources and improve the utilization efficiency of renewable energy, promoting the transformation of the energy structure.

[0037] The use of methane blended with ammonia as a fuel can also improve air quality and environmental conditions. Compared with traditional fuels, methane blended with ammonia produces fewer pollutants when burned, has less impact on the atmosphere and the environment, which helps improve urban air quality and reduce the harm of pollutants to human health. At the same time, the mixed fuel of ammonia and methane has a higher energy density and storability, and can meet the high energy demands in fields such as transportation, industrial production, and power supply. By promoting the use of methane blended with ammonia as a fuel, the goal of zero carbon emissions can be achieved while meeting energy demands and promoting sustainable development.

[0038] In other embodiments, the binary low-carbon fuel can also select other combinations, such as hydrogen and carbon monoxide, methane and carbon dioxide, natural gas hydrates, etc.

[0039] In subsequent embodiments, methane blended with ammonia will be used as the preferred solution for illustration. [[ID=B]]

[0040] As Figure 1 shown, the binary low-carbon fuel combustion control system further includes:

[0041] A pressure sensor 600 and a temperature sensor 700, which are respectively used to collect the pressure of the premixing chamber and the temperature of the combustion chamber in real time;

[0042] A gas flowmeter, which is used to collect the gas flow rates entering the premixing chamber and the combustion chamber in real time, including the gas flow rate of the binary low-carbon fuel entering the premixing chamber and the air flow rate entering the combustion chamber; for the binary fuel of methane blended with ammonia, the gas flowmeter includes a methane flowmeter 220, an ammonia flowmeter 320, and an air flowmeter 420;

[0043] An exhaust gas detection system 900, which is used to collect the exhaust gas parameters after combustion, including exhaust gas components, temperature, pressure, flow rate, humidity, etc.;

[0044] A central control unit 100, which is communicatively connected to the pressure sensor 600, the temperature sensor 700, the gas flowmeter, and the exhaust gas detection system 900, and monitors the fuel mixing ratio in the premixing chamber, the combustion state in the combustion chamber, and the exhaust gas components in real time according to the pressure and temperature data, and uses machine learning algorithms to output control commands for regulating the temperature, pressure, and gas flow rate;

[0045] A dual cross-limiting control system 500, which is communicatively connected to the central control unit 100, is used to dynamically adjust the fuel mixing ratio in the premixing chamber and the air-fuel ratio in the combustion chamber according to preset targets, and outputs an adjustment signal to the central control unit 100 to make the central control unit 100 output control commands for regulating the gas flow rate.

[0046] In this embodiment, the pressure sensor 600 is used to collect the gas pressure data in the premixing chamber in real time, helping the central control unit 100 to dynamically adjust the combustion process. The central control unit 100 determines whether the gas mixing state is ideal according to the pressure data. If abnormal fluctuations or deviations are detected, it will timely correct the system state by adjusting the gas flow rate and combustion rate, etc., to ensure stable combustion.

[0047] The temperature sensor 700 is used to monitor the temperature in the combustion chamber in real time and transmit the data to the central control unit 100 for judging whether the combustion is within the safe range. If the temperature is too high, it may cause equipment damage and excessive emission of harmful gases. If the temperature is too low, it may cause incomplete combustion, affecting efficiency and increasing pollutant emissions. The sensor can timely detect abnormalities and prompt the central control unit 100 to adjust the gas flow rate and combustion rate to ensure that the temperature is maintained within the optimal range. In addition, the temperature sensor 700 can also work in coordination with the pressure sensor 600 to realize the comprehensive adjustment of combustion parameters, optimize the combustion efficiency and prevent faults from occurring.

[0048] The exhaust gas detection system 900 is used to collect the gas parameters emitted after the dual-fuel combustion, including but not limited to the carbon monoxide (CO) detection device 910, the nitric oxide (NO) detection device 920, the other nitride (such as NOx) detection device 930, and the hydrogen (H2) detection device 940. These detection devices collect the concentrations of harmful gases in the exhaust gas in real time and transmit the data to the central control unit 100. By analyzing these data, the system can judge whether the exhaust gas meets the emission standards and evaluate whether the combustion process is sufficient. The exhaust gas detection system 900 can adjust the detection items and corresponding detection devices according to the combination of dual low-carbon fuels.

[0049] The central control unit 100 is the core part of this control system, responsible for real-time monitoring and adjustment of the entire combustion process. This unit receives the signals of multiple sensors (pressure sensor 600, temperature sensor 700, sensors in the exhaust gas monitoring system), obtains the information of key parameters in the combustion system, and issues control instructions according to these data to command the lower-level devices to perform corresponding operations. In addition, through machine learning algorithms, based on the data of the above sensors, the central control unit 100 can dynamically analyze the state of the gas in the premixing chamber, so as to realize the precise control of gas pressure and temperature and ensure that the combustion process is carried out under ideal conditions.

[0050] The dual cross-limiting control system 500 interacts with the central control unit 100, receives the processed sensor acquisition data transmitted by the central control unit 100, implements cross-limiting adjustment during the premixing and combustion processes, and then outputs the adjustment signal to the central control unit 100 to command the lower-level devices to perform corresponding operations through the central control unit 100.

[0051] In one embodiment, the lower-level devices that execute the tasks corresponding to the control instructions of the central control unit 100 include:

[0052] A pressure regulator for presetting a target pressure value according to the control instruction of the central control unit 100;

[0053] A temperature regulator for presetting a target temperature value according to the control instruction of the central control unit 100;

[0054] An air-fuel ratio regulator for presetting a target air-fuel ratio coefficient and a compensation coefficient according to the control instruction of the central control unit 100;

[0055] A flow regulator for regulating the gas flow according to the control instruction of the central control unit 100.

[0056] For the binary fuel of methane blended with ammonia, the flow regulator includes a methane control valve 210, an ammonia control valve 310, and an air control valve 410. The flow regulator cooperates with the cross-limiting system and the central control unit 100 to fully mix the fuel and air before entering the combustion chamber, and mix the binary fuel in the premixing chamber in different proportions according to actual needs to ensure the uniformity and efficiency of combustion.

[0057] In one embodiment, as Figure 2 shown, the dual cross-limiting control system 500 includes:

[0058] The first-layer cross-limiting sub-module is used to dynamically adjust the correction coefficient according to the target fuel mixing ratio and the actual fuel mixing ratio, and determine the adjustment signal for the flow regulator in combination with the deviation between the actual pressure value and the target pressure value, so as to realize the cross-limiting adjustment of fuel premixing;

[0059] The second-layer cross-limiting sub-module is used to determine the adjustment signal for the flow regulator based on the actual fuel mixing ratio adjusted by the first-layer cross-limiting sub-module, according to the deviation between the actual temperature value and the target temperature value, in combination with the target air-fuel ratio coefficient and the compensation coefficient, so as to realize the cross-limiting adjustment between the fuel and oxygen.

[0060] The dual cross-limiting control system 500 is used to achieve more precise control. It is divided into two levels: the first-layer cross-limiting module dynamically adjusts the input amount and mixing ratio of the gas according to the set target, so that the ammonia blending ratio gradually reaches the target value and maintains dynamic balance; the second-layer cross-limiting module real-time obtains the concentration data of the combustion products during the combustion of methane blended with ammonia, and transmits the data to the air-fuel ratio regulator. The air-fuel ratio regulator corrects the air-fuel ratio in the combustion chamber according to the real-time concentration information, and at the same time performs limiter processing through the concentration deviation value to optimize the combustion conditions.

[0061] Specifically, the first - layer cross - limiting process is based on the measured value of the premixed pressure. When the measured value is equal to the actual ambient pressure, the ammonia - to - fuel ratio (i.e., the fuel mixing ratio) β is set to 0, and at the same time, the correction coefficient 1 / γ is introduced. The system dynamically improves the correction coefficient 1 / γ by setting the difference between the target ammonia - to - fuel ratio α and the actual ammonia - to - fuel ratio β, so that the actual ammonia - to - fuel ratio β gradually approaches the target value α. After correction, the actual flow values of methane and ammonia are processed by the parallel positive and negative offset devices and compared with the deviation signal A of the pressure regulator. After selecting the larger value in the high - selector and then the smaller value in the low - selector, the cross - limiting adjustment of fuel premixing is completed.

[0062] In the premixing stage of methane and ammonia, the first - layer control of the dual cross - limiting control system 500 starts to operate. Since the initially set target ammonia - to - fuel ratio α is greater than the actual ammonia - to - fuel ratio β, the system dynamically adjusts the correction coefficient 1 / γ according to the signal deviation value. As the gas is gradually input into the premixing chamber, the actual pressure measurement value PV exceeds the set target pressure value SP of the pressure regulator, thereby generating a deviation and calculating the actual value A that needs to be adjusted. Through the combined action of cross - limiting and the pressure regulator, the system generates specific adjustment signals to control the opening degrees of the methane control valve 210 and the ammonia control valve 310, so as to achieve precise input adjustment of the methane and ammonia flows. The calculation formula for the above - mentioned actual ammonia - to - fuel ratio β value is:

[0063]

[0064] However, as the system operation time increases, the residual air in the premixing chamber gradually decreases, and the actual ammonia - mixing ratio gradually approaches the theoretically set ammonia - mixing value. At this time, it is defaulted that the theoretical ammonia - to - fuel ratio is equal to the actual ammonia - to - fuel ratio.

[0065] The above - mentioned correction coefficient 1 / γ is adjusted according to the difference between the target ammonia - to - fuel ratio α and the actual ammonia - to - fuel ratio β. If the difference is greater than 0, it means that the actually input ammonia is less than the target concentration, and the γ coefficient is appropriately changed to increase the ammonia input. Conversely, the ammonia input is reduced.

[0066] The methane flowmeter 220 and the ammonia flowmeter 320 multiply or divide the actually measured flow values by the preset limiting coefficients K1 / K2 and K3 / K4 respectively after passing through the correction system, so as to obtain the limiting values C1 - C4. The calculation formulas are as follows:

[0067] C1 = NH3 PV value * K1 * γ, C2 = NH3 PV value * K2 * γ

[0068]

[0069] Among them, the deviation value A obtained by the pressure regulator is first compared with C2 in the high selector HS1 to obtain a larger value. Then, this larger value is compared with C1 in the low selector LS1 to obtain a smaller value. Finally, this smaller value is used as the adjustment signal of the methane control valve 210, and a control signal is output to adjust the opening degree of the adjustment valve of the methane flow regulator, thereby realizing the cross-limiting control of the input premixed fuel. Similarly, the deviation value A obtained by the pressure regulator is first compared with C3 in the high selector HS2 to obtain a larger value. Then, this larger value is compared with C4 in the low selector LS2 to obtain a smaller value. Finally, this smaller value is used as the adjustment signal of the ammonia control valve 310.

[0070] The second-layer cross-limiting process is adjusted during the combustion process of the mixed fuel of methane and ammonia premixed with air. An air-fuel ratio regulator is introduced, which consists of an air-fuel ratio coefficient μ and a repair compensation coefficient ε. After the actual fuel flow value and the air flow value are corrected by the air-fuel ratio, they are scaled through parallel positive and negative biasing devices. The corrected value is compared with the signal adjustment value B generated by the deviation of the temperature regulator. First, the larger value is selected in the high selector, and then the smaller value is selected through the low selector to achieve the cross-limiting adjustment between fuel and oxygen.

[0071] After the first-layer cross-limiting is completed, the system obtains the mixed fuel of methane and ammonia and enters the second-layer cross-limiting stage of fuel and air. This stage is mainly played by the temperature regulator and the air-fuel ratio correction module. When the initial set temperature value SP of the temperature regulator is greater than the actual measured temperature PV, a deviation signal is generated and the required fuel value B is calculated. By adjusting the fuel and air flow system, the input of fuel and air is increased, thereby increasing the temperature and making the measured temperature close to the set value. On the contrary, when the initial set temperature value SP of the temperature regulator is less than the actual measured temperature PV, a deviation signal is generated and the required fuel value B is calculated. At this time, by adjusting the fuel and air flow system, the input of fuel and air is reduced, so that the measured temperature is close to the set value.

[0072] The deviation value B obtained by the temperature regulator is first compared with D2 in the high selector HS3 to obtain a larger value. Then, this larger value is compared with D1 in the low selector LS3 to obtain a smaller value. Finally, the smaller value is used as the adjustment signal of the air control valve 410, and a control signal is output to adjust the valve opening degree of the air control valve 410, thereby realizing the cross-limiting control of the input premixed fuel. Similarly, the deviation value B obtained by the pressure regulator is first compared with D3 in the high selector HS4 to obtain a larger value. Then, this larger value is compared with D4 in the low selector LS4 to obtain a smaller value. Finally, the smaller value obtained through comparison is used as the adjustment signal of the fuel control valve (i.e., the control valve for the mixed gas of methane and ammonia). The limiting values D1 - D4 are respectively expressed by the formulas:

[0073]

[0074] Among them, μ is the target air-fuel ratio coefficient; ε is the compensation coefficient used to correct the air-fuel ratio coefficient. The compensation coefficient is used to cope with the influence of operating conditions (such as load changes, start-up and shutdown phases, etc.) and environmental factors.

[0075] In one embodiment, the smaller value obtained through the low selector LS3 in the second-layer cross-limiting stage needs to be adjusted by the range correction coefficient and the detected excess air coefficient in sequence before being used as the adjustment signal for the air control valve. The above-mentioned range correction coefficient refers to adjusting and calibrating the measurement range and measurement value of the measuring instrument or system to ensure that the measurement result is more accurate and reliable. The above-mentioned excess air coefficient refers to the ratio of the actual air quantity supplied for fuel combustion to the theoretical air quantity. It is an important parameter reflecting the fuel-air ratio. In various combustion furnaces or combustion chambers, in order to make the fuel burn as completely as possible, the actual air quantity supplied is usually greater than the theoretical air quantity (the excess part is called "excess air quantity"), so the excess air coefficient must be greater than 1. However, combustion theory and operating experience show that either too large or too small excess air coefficient is not conducive to combustion. If the optimal excess air coefficient can be determined, it will help improve the combustion effect and thus reduce the ammonia slip problem.

[0076] In this embodiment, the dual cross-limiting control system 500 is divided into two levels. The first-layer cross-limiting module dynamically adjusts the input quantity and mixing ratio of the gas according to the set target, so that the ammonia mixing ratio gradually reaches the target value and maintains dynamic balance; the second-layer cross-limiting module obtains the concentration data of the combustion products in the ammonia-doped methane combustion process in real time and transmits the data to the air-fuel ratio regulator. The air-fuel ratio regulator corrects the air-fuel ratio in the combustion chamber according to the real-time concentration information, and at the same time performs limiting processing through the concentration deviation value to optimize the combustion conditions. This structure links the binary fuel mixing process and the air-fuel ratio adjustment process, realizing intelligent dynamic adjustment of the entire combustion process and achieving efficient and sufficient combustion effects.

[0077] In one embodiment, the pressure sensor 600 is also used to collect the pressure involved in the first-layer cross-limiting sub-module in real time and transmit the real-time collected pressure signal to the central control unit 100. The temperature sensor 700 is also used to collect the temperature of the second-layer cross-limiting sub-module in real time and transmit the real-time temperature to the central control unit 100.

[0078] In one embodiment, the combustion chamber is connected to the exhaust gas treatment system through the exhaust port 820, and an exhaust control valve 810 is provided at the exhaust port 820; the central control unit 100 is communicatively connected to the exhaust control valve 810 and issues a control instruction to the exhaust control valve 810 according to the exhaust gas parameters received from the exhaust gas detection system 900.

[0079] As Figure 3 shown, the exhaust gas treatment system and the exhaust gas detection system 900 can be integrally designed and directly connected to the central control unit 100, which to a certain extent affects the exhaust port 820.

[0080] The exhaust gas detection system 900 is mainly used to detect the emissions of harmful gases (such as carbon monoxide, nitrogen dioxide, etc.) and has functions such as gas detection and emission regulation. The system monitors carbon monoxide, nitric oxide, oxygen and other gas components in the exhaust gas in real time through the main harmful gas detection device. These detection modules work independently to provide accurate gas concentration data, thus ensuring comprehensive monitoring functions.

[0081] The exhaust gas treatment system is responsible for removing harmful components from the exhaust gas and may adopt various treatment methods such as chemical reaction, physical adsorption or filtration. The central control unit 100 receives and processes the detection data of the exhaust gas detection system 900 and adjusts the key parameters in the exhaust gas treatment system in real time to ensure that the emissions meet the environmental protection regulations. This working mechanism that closely combines gas detection and exhaust gas treatment improves the efficiency of the system while effectively reducing environmental pollution.

[0082] The exhaust port 820 is used to discharge the exhaust gas purified by the exhaust gas treatment module and cooperates with the exhaust gas detection device to ensure that the discharged gas meets the environmental protection standards. When the exhaust gas detection system 900 detects that the discharged gas meets the environmental protection standards, the exhaust control valve 810 is opened to release the purified exhaust gas through the exhaust port 820.

[0083] In one embodiment, the central control unit 100 uses machine learning algorithms and historical data for fault diagnosis and adaptive combustion parameter optimization.

[0084] Based on the training results of the model, the central control unit 100 combines machine learning algorithms with historical data. On the one hand, by analyzing and mining the laws of the data collected by the sensors, it can predict and optimize the working state of the combustion system in real time, dynamically adjust various parameters to improve the system efficiency, reduce energy waste and ensure safe operation. It can not only help the system adapt to environmental changes automatically, accurately control combustion parameters under different loads and environmental conditions, but also continuously improve the control strategy to achieve accurate and intelligent control responses. On the other hand, it can realize fault prediction to detect and eliminate potential safety hazards in time and improve safety assurance.

[0085] The binary low-carbon fuel combustion control system disclosed in the present invention aims to optimize the combustion process, improve combustion efficiency and reduce pollutant emissions. The main components of the system include a dual cross-limiting control system 500, an exhaust gas detection system 900 and a central control unit 100, which work together to achieve efficient low-carbon combustion. The dual cross-limiting control system 500 dynamically adjusts the supply ratio of the binary low-carbon fuel by real-time monitoring of the temperature, pressure and air flow rate in the combustion chamber to ensure the stability and efficiency of the combustion process. The exhaust gas detection system 900 detects the concentrations of pollutants such as carbon monoxide, nitric oxide and other nitrogen compounds in real time and transmits the data to the central control unit 100. The central control unit 100 adjusts the combustion parameters according to the analysis results of the exhaust gas components to optimize the combustion efficiency and reduce the emissions of harmful gases. Through the collaborative work of the above structures, the binary low-carbon fuel combustion control system can significantly reduce carbon emissions and pollutant generation, improve fuel utilization rate and promote the development of clean energy technologies.

[0086] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0087] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A binary low-carbon fuel combustion control system, comprising a premixing chamber and a combustion chamber, characterized in that, It also includes: A pressure sensor and a temperature sensor, which are respectively used to collect the pressure of the premixing chamber and the temperature of the combustion chamber in real time; A gas flow meter, which is used to collect the gas flow rate entering the premixing chamber and the combustion chamber in real time; An exhaust gas detection system, which is used to collect the exhaust gas parameters after combustion; A central control unit, which is communicatively connected to the pressure sensor, the temperature sensor, the gas flow meter and the exhaust gas detection system, and monitors the fuel mixing ratio of the premixing chamber, the combustion state of the combustion chamber and the exhaust gas components in real time according to the pressure and temperature data, and uses machine learning algorithms to output control instructions for regulating the temperature, pressure and gas flow rate; A dual cross-limiting control system, which is communicatively connected to the central control unit, is used to dynamically adjust the fuel mixing ratio in the premixing chamber and the air-fuel ratio in the combustion chamber according to preset targets, and outputs an adjustment signal to the central control unit to enable the central control unit to output a control instruction for regulating the gas flow rate.

2. The binary low-carbon fuel combustion control system according to claim 1, characterized in that, It also includes: A pressure regulator, which is used to preset a target pressure value according to the control instruction of the central control unit; A temperature regulator, which is used to preset a target temperature value according to the control instruction of the central control unit; An air-fuel ratio regulator, which is used to preset a target air-fuel ratio coefficient and a compensation coefficient according to the control instruction of the central control unit; A flow rate regulator, which is used to regulate the gas flow rate according to the control instruction of the central control unit.

3. The binary low-carbon fuel combustion control system according to claim 2, characterized in that, The dual cross-limiting control system includes: A first-layer cross-limiting sub-module, which is used to dynamically adjust the correction coefficient according to the target fuel mixing ratio and the actual fuel mixing ratio, and determine the adjustment signal for the flow rate regulator in combination with the deviation between the actual pressure value and the target pressure value, so as to realize the cross-limiting adjustment of fuel premixing; A second-layer cross-limiting sub-module, which is used to determine the adjustment signal for the flow rate regulator based on the actual fuel mixing ratio adjusted by the first-layer cross-limiting sub-module, in combination with the deviation between the actual temperature value and the target temperature value, the target air-fuel ratio coefficient and the compensation coefficient, so as to realize the cross-limiting adjustment between fuel and oxygen.

4. The binary low-carbon fuel combustion control system according to claim 3, wherein: An air excess coefficient and a range correction coefficient are introduced in the second-layer cross-limiting sub-module, and the adjustment signal is corrected by using the air excess coefficient and the range correction coefficient after the adjustment signal for the flow rate regulator is determined.

5. The binary low-carbon fuel combustion control system according to claim 1, characterized in that: The combustion chamber is communicated with an exhaust gas treatment system through an exhaust port, and an exhaust control valve is arranged at the exhaust port; the central control unit is communicatively connected to the exhaust control valve, and issues a control instruction to the exhaust control valve according to the exhaust gas parameters received from the exhaust gas detection system.

6. The binary low-carbon fuel combustion control system according to claim 1, wherein: The binary low-carbon fuel includes methane and ammonia.

7. The binary low-carbon fuel combustion control system according to claim 6, characterized in that: The exhaust gas detection system includes a nitric oxide detection device, a carbon monoxide detection device, a hydrogen detection device and a nitride detection device.

8. The binary low-carbon fuel combustion control system according to claim 1, characterized in that: The central control unit uses machine learning algorithms and historical data for fault diagnosis and adaptive combustion parameter optimization.

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