Amino mixed fuel explosion characteristic visualization and explosion suppression coordinated regulation and control system and method

Abstract

The invention discloses an amino mixed fuel explosion characteristic visualization and explosion suppression coordinated regulation and control system and method, and the system comprises an explosion suppression device which is disposed in a combustion chamber and is in communication connection with a holographic monitoring device and an explosion overpressure real-time prediction model. A graded explosion suppression scheme is set according to the safety early warning grade, so that active intervention of explosion suppression intensity and mode matched with combustion or explosion development stages with different intensities in the combustion cavity is implemented. Therefore, visualization of the mixed gas combustion and explosion dynamic process under the multi-parameter coupling condition can be achieved, and the comprehensiveness and reliability of combustion and explosion research are remarkably improved; through real-time monitoring and intelligent prediction of the explosion process, the explosion process in the device can be rapidly started, the explosion suppression response can be optimized, the explosion development can be suppressed, the integrity and operation safety of an experiment system can be guaranteed, and the intrinsic safety and the system protection capability of the experiment process can be effectively enhanced.

Description

Technical Field

[0001] This invention relates to the field of measurement and suppression technology of combustion and explosion characteristics of mixed fuels, and in particular to a system and method for visualization of combustion and explosion characteristics and coordinated control of suppression of ammonia-based mixed fuels. Background Technology

[0002] With the global pursuit of carbon neutrality, the research and application of zero-carbon and low-carbon energy are receiving increasing attention. Ammonia ( As a carbon-free fuel and hydrogen carrier, ammonia is considered an important alternative to traditional fossil fuels due to its unique physicochemical properties (such as high hydrogen content and easy liquefaction and storage). However, the combustion characteristics of ammonia (such as low laminar combustion velocity, high ignition energy, and narrow combustible range) limit its direct application. Therefore, scholars and engineers at home and abroad are committed to improving the combustion performance of ammonia through technologies such as blending with highly reactive fuels and optimizing burners.

[0003] In the research field of hydrogen-ammonia blended fuels, existing technologies mainly focus on combustion characteristic studies, explosion parameter analysis, and the exploration of explosion suppression / antennae measures. These studies typically employ a combination of experimental and numerical simulation methods to reveal the combustion and explosion mechanisms of ammonia blended fuels and optimize their combustion performance. Existing technologies for ammonia blended fuel research suffer from the following shortcomings and deficiencies: Lack of multi-parameter integrated control capabilities: Existing devices often only allow research on single or a few parameters, failing to simultaneously consider the combined effects of multiple parameters such as obstacles, temperature, pressure, and proportions on combustion and explosion characteristics. This results in an insufficiently comprehensive and in-depth understanding of the combustion and explosion characteristics of ammonia blended fuels.

[0004] Current technologies for ammonia-blended fuel research suffer from a lack of real-time monitoring and visualization techniques. During combustion, key parameters such as flame stability, NOx emissions, and free radical distribution are crucial for evaluating fuel performance and optimizing combustion conditions. However, the lack of real-time monitoring and visualization methods for these parameters makes it difficult for researchers to accurately capture and analyze the dynamic changes during combustion.

[0005] Current research on ammonia-mixed fuels suffers from insufficient understanding of the synergistic mechanism of explosion suppression: leaks of hydrogen-ammonia mixtures in confined spaces can easily trigger violent explosions, making the development of effective explosion suppression measures crucial. However, current technologies lack a deep understanding of the synergistic mechanism of explosion suppression, particularly lacking integrated experimental devices and research methods capable of systematically simulating, testing, and evaluating the effectiveness of various explosion suppression measures in real, complex environments. Summary of the Invention

[0006] This invention aims to at least solve one of the technical problems existing in the prior art. Therefore, the purpose of this invention is to provide a system for visualizing and co-regulating the combustion and explosion characteristics of ammonia-based mixed fuels, which integrates the visualization and active suppression of the combustion and explosion process, thereby providing comprehensive data support for the study of the combustion characteristics of mixed fuels and enabling real-time monitoring and dynamic suppression of explosion risks.

[0007] This invention further proposes a method for visualizing the combustion and explosion characteristics of ammonia-based mixed fuels and for synergistic regulation of explosion suppression.

[0008] The amino-mixed fuel combustion and explosion characteristic visualization and explosion suppression synergistic control system according to an embodiment of the present invention includes: a combustion chamber, a holographic monitoring device, a neural network early warning device, a gas distribution device, an active explosion suppression device, and a synchronous control device. The combustion chamber contains a combustion cavity, and a visualization window is provided on one side of the combustion chamber. A variable frequency impeller and an ignition device are provided in the combustion cavity. The variable frequency impeller includes a drive motor and an impeller. The drive motor is located outside the combustion cavity, and the impeller is located inside the combustion cavity. The output shaft of the drive motor passes through the combustion chamber wall through a sealed structure and is connected to the impeller. The drive motor is a variable frequency motor and is connected to a vector controller for vector control. The ignition device includes... The system includes an ignition electrode and a high-pressure controller. The ignition electrode is disposed within the combustion chamber and is communicatively connected to the high-pressure controller. The gas distribution device is connected to the combustion chamber and is used to inject multi-amino mixed fuel gas into the combustion chamber according to a preset ratio, volume, initial pressure, and humidity. The holographic monitoring device includes a synchronous optical control module, an explosion overpressure acquisition module, and a laser monitoring module. These modules are arranged around the combustion chamber and are optically or physically connected to it. The synchronous optical control module includes a schlieren acquisition module, an image acquisition module, and an infrared temperature acquisition system, suitable for acquiring dynamic data of the flame morphology, density field, three-dimensional flow field, and temperature field in the combustion chamber. The explosion overpressure acquisition module is used to acquire pressure data at different locations in the visualized combustion chamber; the laser monitoring module is adapted to acquire spatiotemporal evolution data of the concentration distribution of pyrolysis products and free radical concentration in the combustion chamber; the neural network early warning device includes a data acquisition and fusion module and an explosion overpressure real-time prediction model; the data acquisition and fusion module is communicatively connected to the holographic monitoring device and is used to receive and acquire and fuse the multidimensional monitoring data detected by the holographic monitoring device; the explosion overpressure real-time prediction model is communicatively connected to the data fusion module and is used to predict the maximum explosion overpressure value that may occur in the combustion chamber in real time based on the fused data, and generate an explosion risk index R and a correlation coefficient. The system determines the appropriate safety warning level and initiates a graded explosion suppression scheme based on that level. The explosion suppression device is located within the combustion chamber and is communicatively connected to the holographic monitoring device and the real-time explosion overpressure prediction model. This allows for the setting of a graded explosion suppression scheme based on the safety warning level, thereby enabling proactive intervention with appropriate suppression intensity and methods for different stages of combustion or explosion development within the combustion chamber. The synchronization control device includes a synchronization controller and a control terminal. The synchronization controller is communicatively connected to the variable frequency impeller, ignition device, gas distribution device, holographic monitoring device, neural network warning device, and explosion suppression device system. The synchronization controller is connected to the control terminal, and the synchronization controller is communicatively connected to the control terminal.

[0009] Therefore, this invention enables multimodal visualization of the combustion and explosion dynamics of ammonia mixed gases under multi-parameter coupling conditions, significantly improving the comprehensiveness and systematicness of combustion and explosion characteristic research. On the other hand, it not only significantly enhances the reliability and accuracy of explosion suppression by real-time perception and intelligent early warning of multi-parameter coupling states, but also realizes active safety protection of the experimental platform and efficient utilization of explosion suppressants. It effectively solves the technical defects of traditional devices in terms of single monitoring dimensions and delayed explosion suppression response, providing key theoretical and experimental support for the safe storage and transportation of ammonia fuel and the safe design of gas turbine combustion chambers.

[0010] In some embodiments of the present invention, the synchronous optical control module includes a high-speed camera, an infrared camera, a schlieren spectrometer, and a free radical LIF probe.

[0011] In some embodiments of the present invention, the explosion suppression device includes: a gas phase inhibitor supply unit, including a gas phase inhibitor storage tank and a gas phase inhibitor inlet pipe connected thereto; a liquid phase inhibitor supply unit, including a liquid phase inhibitor storage tank and a liquid phase atomization module and a liquid phase inhibitor inlet pipe connected thereto; an explosion suppressant premixing chamber, which is respectively provided with gas phase and liquid phase inhibitor inlets, the gas phase inhibitor inlet being connected to the gas phase inhibitor inlet pipe, and the liquid phase inhibitor inlet being connected to the liquid phase inhibitor inlet pipe; an explosion suppressant injection pipe, one end of which is connected to the outlet of the explosion suppressant premixing chamber, and the other end extending into the combustion chamber; a solenoid valve, disposed on the explosion suppressant injection pipe and communicatively connected to the neural network early warning device; wherein, a mass flow controller is respectively installed on the gas phase inhibitor inlet pipe and the atomized liquid phase inhibitor inlet pipe; the solenoid valve is configured to open and close according to the received safety early warning level signal, and to inject a precisely proportioned gas-liquid phase inhibitor biphase aerosol generated in the explosion suppressant premixing chamber into the combustion chamber to implement explosion suppression.

[0012] In some embodiments of the present invention, the explosion suppression device further includes a plurality of nozzles, which are circumferentially spaced on the inner wall of the combustion chamber. The inlet of each nozzle is connected to the outlet of the gas-phase and liquid-phase two-phase flow inhibitor, and the outlet of each nozzle is connected to the combustion chamber.

[0013] In some embodiments of the present invention, the combustion chamber includes a first combustion chamber and a second combustion chamber, the second combustion chamber is disposed inside the first combustion chamber and spaced apart from the inner wall of the first combustion chamber, the combustion cavity is disposed inside the second combustion chamber, and a sandwich cavity is formed between the first combustion chamber and the second combustion chamber; the oil bath circulation system is connected to the sandwich cavity through a pipeline.

[0014] In some embodiments of the present invention, the gas distribution device includes multiple air inlet channels, a mass flow controller, a humidity generator, a spiral mixing chamber, and a high-pressure air inlet valve; the multiple air inlet channels are adapted to introduce different types of gases, the humidity generator is connected to the spiral mixing chamber through the air inlet channels, the mass flow controller is respectively provided on the multiple air inlet channels, the inlet of the spiral mixing chamber is connected to the multiple air inlet channels, and the outlet of the spiral mixing chamber is connected to the high-pressure air inlet valve.

[0015] The visualization and suppression-based synergistic control scheme for the combustion and detonation characteristics of amino-mixed fuels according to embodiments of the present invention may include the following steps: controlling a synchronous control device to adjust the oil bath circulation system to preheat the combustion chamber to a set temperature; controlling the variable frequency impeller to rotate at a set frequency; controlling the gas distribution device to inject precisely proportioned mixed gas into the combustion chamber; and controlling the ignition device to adjust the ignition energy and control the ignition electrode to ignite; controlling the synchronous optical control module and the explosion overpressure acquisition module to acquire dynamic data of flame morphology, density field, three-dimensional flow field, pressure field, and temperature field in the combustion chamber; and controlling the laser monitoring module to acquire dynamic data of the combustion... The system collects spatiotemporal evolution data of the concentration distribution of pyrolysis products and free radicals in the combustion chamber; controls the data acquisition and fusion module to overlay flame morphology data, density field data, three-dimensional flow field data, temperature data, pressure wave data, pyrolysis product concentration distribution data, and free radical concentration distribution data to generate a 3D combustion and explosion field image; based on the 3D combustion and explosion field image, a real-time explosion overpressure prediction system is constructed using a neural network, taking into input the proportion of the mixed gas in the combustion chamber, the topology of obstacles in the combustion chamber, the initial temperature and initial pressure in the combustion chamber, and ignition energy parameters, and outputting the maximum explosion pressure P. max The parameters and real-time safety warning level; the explosion suppression device performs explosion suppression of corresponding intensity according to the safety warning level.

[0016] In some embodiments of the present invention, the real-time explosion overpressure prediction system can also generate flame propagation velocity parameters, and the explosion suppression device is based on the maximum explosion pressure P. max The explosion risk index R is obtained from the parameters, the flame propagation speed parameter, and the free radical concentration data; when the explosion risk R is greater than the warning threshold R... warn When the explosion is detected, the early warning system controls the explosion suppression device to start; the explosion risk R is a value calculated based on the environmental parameters inside the combustion chamber and used to characterize the degree of explosion risk.

[0017] In some embodiments of the present invention, N is... Free radical concentration data, when the explosion risk index R is at the explosion suppression threshold R warn When the value is in the ~R1 range, it is considered a primary risk; when The free radical concentration data N is within the first threshold range. 1-2 When the explosion risk R is within the explosion suppression threshold range R1~R2, it is determined to be a medium risk; when the explosion risk R is within the explosion suppression threshold range R1~R2, it is determined to be a medium risk; when the explosion risk R is within the explosion suppression threshold range R1~R2, it is determined to be a medium risk. The free radical concentration data N is in the second threshold range. 2-3 When the explosion risk R is greater than the explosion suppression threshold R2 (R2 > R1), the explosion suppression device performs explosion suppression treatment on the combustion chamber with a second set power PS2 (PS2 > PS1), wherein the second threshold is greater than the first threshold; when the explosion risk R is greater than the explosion suppression threshold R2 (R2 > R1), it is determined to be a high risk; when Free radical concentration data N is greater than the threshold When the growth rate dN / dt is greater than the third critical value, and the pressure rise rate dP / dt is greater than the critical value, the explosion suppression device 40 performs explosion suppression treatment on the combustion chamber with a third set power PS3 (PS3> PS2), aiming to completely suppress the combustion of the mixed gas in the combustion chamber, wherein the third critical value is greater than the second critical value.

[0018] In some embodiments of the present invention, the real-time explosion overpressure prediction system constructed based on a neural network according to the 3D combustion field image is used as an input to the ratio of the mixed gas in the combustion chamber, the topology of the obstacles in the combustion chamber, the initial temperature and initial pressure in the combustion chamber, and the ignition energy parameters, and outputs the flame propagation speed parameters and the maximum explosion pressure P in the combustion chamber. max The parameter steps include: the output adopts three-dimensional combustion and explosion field reconstruction technology, which includes the following steps: spatially aligning flame morphology data, density field data, temperature field data, three-dimensional flow field data, pressure wave data and free radical concentration data through field programmable gate array; generating isosurfaces based on Marching Cubes algorithm; superimposing the predicted maximum pressure value at the extreme point of free radical concentration and performing three-dimensional vector marking to intuitively present the risk point.

[0019] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0020] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0021] Figure 1 This is a schematic diagram of a system for visualizing and co-regulating the combustion and explosion characteristics of amino-mixed fuels according to an embodiment of the present invention;

[0022] Figure 2 This is a flowchart of a method for visualizing the combustion and explosion characteristics of amino-mixed fuels and for synergistic regulation of explosion suppression, according to an embodiment of the present invention.

[0023] Figure label:

[0024] 100. Visualization and synergistic control system for combustion and explosion characteristics of ammonia-blended fuels;

[0025] 10. Combustion chamber; 11. Gas distribution device; 12. Ignition device; 13. Adjustable variable frequency impeller; 14. Oil bath circulation system

[0026] 20. Holographic monitoring device; 21. Synchronous optical control module; 22. Explosion overpressure acquisition module; 23. Laser monitoring module;

[0027] 30. Neural network early warning device; 31. Data fusion module; 32. Real-time prediction model for explosion overpressure;

[0028] 40. Explosion suppression device;

[0029] 50. Synchronization control device; 51. Synchronization controller; 52. Control terminal. Detailed Implementation

[0030] The embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. The embodiments of the present invention are described in detail below.

[0031] The following is for reference. Figure 1 A system 100 for visualizing and co-regulating the combustion and detonation characteristics of amino-mixed fuels according to an embodiment of the present invention is described.

[0032] Combination Figure 1As shown, the amino-mixed fuel combustion and explosion characteristic visualization and explosion suppression synergistic control system 100 according to the present invention mainly includes: a combustion chamber 10, a gas distribution device 11, a holographic monitoring device 20, a neural network early warning device 30, an explosion suppression device 40, and a synchronous control device 50. The combustion chamber 10 has a combustion cavity inside, and a visualization window is provided on one side of the combustion chamber 10. An ignition device 12 and a variable frequency impeller driven by an external drive unit are provided in the combustion cavity. The gas distribution device 11 is connected to the combustion cavity through a pipeline to inject amino-mixed fuel gas into the combustion cavity according to a preset ratio and flow rate. The holographic monitoring device 20 includes a synchronous optical control module 21, an explosion overpressure acquisition module 22, and a laser monitoring module 23. The synchronous optical control module 21 and the explosion overpressure acquisition module 22 are suitable for acquiring the flame morphology, density field, three-dimensional flow field, temperature field, pressure wave, and other properties of the flame in the combustion cavity. The system includes dynamic data on free radical concentration; a laser monitoring module 23 is adapted to acquire data on the concentration distribution of pyrolysis products of the mixed gas in the combustion chamber and the spatiotemporal evolution data of free radical concentration; a neural network early warning device 30 includes a data fusion module 31 and a real-time explosion overpressure prediction model 32. The data fusion module 31 is communicatively connected to the holographic monitoring device 20 to fuse the multidimensional monitoring data detected by the holographic monitoring device 20; the real-time explosion overpressure prediction model 32 is communicatively connected to the data fusion module 31 to predict the maximum explosion overpressure value in the combustion chamber in real time based on the fused data and generate a safety warning level and an explosion risk index; and an explosion suppression device 40 is installed in the combustion chamber and is communicatively connected to both the holographic monitoring device 20 and the real-time explosion overpressure prediction model 32 to activate corresponding explosion suppression schemes according to the safety warning level and the explosion risk index, so as to actively suppress the explosion development process in the combustion chamber. The synchronization control device 50 includes a synchronization controller 51 and a control terminal 52. The synchronization controller 51 is connected in communication with the variable frequency impeller, ignition device 12, gas distribution device, holographic monitoring device 20, neural network early warning device 30 and explosion suppression device 40 system to coordinate the working sequence and triggering logic of each subsystem. The synchronization controller 51 is connected in communication with the control terminal 52 for setting experimental parameters, issuing commands, monitoring system status and outputting results.

[0033] Combustion chamber 10 includes a first combustion chamber and a second combustion chamber. The second combustion chamber is located inside the first combustion chamber and is spaced apart from the inner wall of the first combustion chamber. The combustion cavity is located inside the second combustion chamber. An interlayer cavity is formed between the first combustion chamber and the second combustion chamber. The oil bath circulation system 14 is connected to the interlayer cavity through a pipeline, so that the heat medium can circulate in the closed loop formed by the oil bath circulation system 14 and the interlayer cavity to achieve precise temperature control of the combustion cavity.

[0034] Specifically, two coaxially arranged combustion chambers 10 are configured, with the second combustion chamber 10 located inside the first combustion chamber 10. The inner walls of the second combustion chamber 10 and the first combustion chamber 10 are spaced apart, and the combustion chamber is located inside the second combustion chamber 10. An oil bath circulation system 14 is connected to the jacketed cavity via pipelines, and heat is transferred to the combustion chamber by heating and circulating the silicone oil. By activating the oil bath circulation system 14 before the ignition device 12 ignites the mixed gas, the mixed gas injected into the combustion chamber can be uniformly preheated. In some embodiments of the present invention, the combustion chamber can be preheated to 150°C before ignition by the ignition electrode, which not only significantly reduces the ignition energy requirement for mixed gases such as ammonia and hydrogen, promoting rapid start-up of the combustion process, but also effectively improves combustion stability and completeness, and reduces the generation of incomplete combustion products.

[0035] It should be noted that the oil bath circulation system 14, in conjunction with the PID temperature control module, can achieve uniform and precise temperature control within the combustion chamber at -30 to 150℃ ±1℃. Simultaneously, both the first and second combustion chambers 10 are constructed of 304 stainless steel with a wall thickness of 8 mm. This design not only ensures the structural strength and corrosion resistance of the chambers but also effectively guarantees the sealing of the interlayer cavity, resulting in an extremely low oil leakage rate. This further enhances the long-term stability and reliability of the entire ammonia-mixed fuel combustion characteristic visualization and explosion suppression synergistic control system 100.

[0036] Furthermore, when conducting combustion characteristic tests using the combustion chamber configured within the combustion chamber 10, the oil bath circulation system 14 is first activated to preheat and stabilize the combustion chamber at a preset experimental temperature. Subsequently, an amino fuel mixture is selectively introduced into the combustion chamber via the gas distribution device 11. In some embodiments of the present invention, the mixture may be... , , It is a mixture of multiple gases such as CO. Simultaneously, a humidity generator in the gas distribution device 11 adjusts the dry air to the target relative humidity, or introduces the required oxidant, such as... The mixture is adjusted to the target relative humidity before being introduced into the combustion chamber to participate in the reaction. During the intake process, the high-pressure intake valve is adjusted by a PID controller to maintain a dynamic intake balance pressure of 0.1-2 MPa ± 0.5% in the combustion chamber.

[0037] An adjustable frequency-controlled impeller 13 is installed inside the combustion chamber. The impeller is driven by a stepper motor to simulate the vortex field generated by valve opening and closing in an industrial setting. The adjustable frequency-controlled impeller 13 supports stepless electric adjustment of the blockage ratio from 0-50%. After gas injection is completed, when the ammonia fuel mixture... and When the ratio is maintained at 7:3 and the intake pressure is controlled at 2MPa, a stepper motor is driven at 80 Hz to rotate the adjustable frequency impeller, thereby generating a turbulent field of a specific intensity in the combustion chamber to simulate the disturbance and obstruction of flame propagation by actual obstacles.

[0038] Subsequently, the ignition device 12 is controlled to adjust the ignition energy and the ignition electrode is controlled to ignite the gas mixture in the combustion chamber. In some embodiments of the present invention, the diameter of the adjustable frequency-controlled impeller 13 is preferably 200 mm, and the blade tilt angle of the impeller is infinitely adjustable within the range of 0-45°. The frequency of the power supply for the stepper motor can be continuously adjusted within the range of 0-100 Hz to achieve precise control of the impeller speed and turbulence intensity.

[0039] Furthermore, the holographic monitoring device 20 can monitor the combustion process of the mixed gas in real time. The holographic monitoring device 20 includes a synchronous optical control module 21, an explosion overpressure acquisition module 22, and a laser monitoring module 23. These modules are arranged around the combustion chamber and are optically or physically connected to the combustion chamber through a visualization window or an optical interface installed on the wall of the combustion chamber 10.

[0040] Furthermore, the synchronous optical control module 21 includes a high-speed camera, an infrared camera, a schlieren spectrometer, and a free radical LIF probe. The high-speed camera and infrared camera can capture flame morphology data and temperature distribution, the schlieren spectrometer can capture density field data within the combustion chamber, and the free radical LIF probe is used to accurately measure the explosion process. , The spatiotemporal distribution of key free radical concentrations; the explosion overpressure acquisition module 22 adopts a high-frequency PCB pressure sensor, which is installed on the reserved pressure measurement hole on the wall of the combustion chamber 10 through a mechanical interface. Its sensing end face is flush with the inner wall of the combustion chamber, and is used to accurately capture and transmit dynamic change data of the explosion pressure wave in the combustion chamber; in addition, this application can combine high-speed particle image velocimetry (PIV) technology with the above-mentioned high-frequency PCB pressure sensor, and perform fusion processing on the acquired flame morphology, density field, free radical concentration and pressure wave data. This invention can reconstruct the three-dimensional flow field-flame-pressure wave multi-field coupled evolution process under the obstacle disturbance generated by the frequency-tunable impeller.

[0041] In addition, the laser monitoring module 23 can employ ultraviolet-band tunable semiconductor laser absorption spectroscopy (UV-TDLAS) technology, in which the laser emits a laser beam with a wavelength of 306.7 nm. This laser beam enters the combustion chamber through the visualization window of the combustion chamber 10 for real-time, in-situ analysis. pyrolysis products (including , (etc.) and Concentration distribution of free radicals.

[0042] Furthermore, the neural network early warning device 30 includes a data fusion module 31 and a real-time explosion overpressure prediction model 32. The data fusion module 31 can use a field-programmable gate array (FPGA) to rapidly acquire and synchronously process multi-dimensional data captured by the holographic monitoring device 20, such as flame morphology, density field, free radical concentration, pressure wave, NH3 cracking product distribution, and free radical concentration distribution, and then fuse and reconstruct a three-dimensional dynamic image of the combustion and explosion field. Based on the three-dimensional dynamic image of the combustion and explosion field, a real-time explosion overpressure prediction model 32 is constructed using a neural network. Relevant parameters, such as the ratio of the mixed gas, the topology of obstacles, the initial temperature and pressure in the combustion chamber, the ignition energy of the ignition electrode, and humidity, are input into the real-time explosion overpressure prediction model 32 to output the maximum explosion pressure P. max Safety warning level and explosion risk index R. Among them, the maximum explosion pressure P max The maximum pressure in the combustion chamber during a combustion explosion is defined as the maximum pressure that would occur. The safety warning level represents the probability of a combustion explosion occurring in the combustion chamber when relevant parameters in the combustion chamber are within different ranges. The safety warning level is a risk level indicator characterizing the probability of a combustion explosion, determined comprehensively based on real-time parameters. The explosion risk index R is a dimensionless risk assessment parameter, determined by the real-time explosion overpressure prediction model 32 based on the predicted maximum explosion overpressure value P. max The explosion risk index R is calculated by fusing flame propagation speed and free radical concentration through a preset functional relationship. The numerical range of the explosion risk index R is pre-divided into multiple continuous intervals, each interval corresponding to a specific safety warning level. This is used to quantitatively characterize the potential risk of a violent combustion explosion in the combustion system under the current operating conditions, and to provide precise quantitative basis for the explosion suppression device 40 to activate explosion suppression schemes of different intensities.

[0043] In some embodiments of the present invention, the holographic monitoring device 20 monitors the concentration and distribution of free radicals, one of its core objectives being to accurately obtain... Spatiotemporal evolution data of free radicals. The reason is that in the chain reaction of combustion of ammonia-hydrogen mixtures, Free radicals are key mediators for chain propagation, and their concentration and rate of change directly reflect the intensity and overall strength of a chemical reaction. Therefore, this application, in addition to monitoring flame morphology, density field, three-dimensional flow field, and pressure wave data within the combustion chamber, also monitors the combustion chamber... Free radical concentration data is monitored. Based on the acquired multi-dimensional data, the neural network early warning device 30 can further analyze and calculate the safety early warning level and the explosion risk index R, and transmit the matching graded explosion suppression scheme to the explosion suppression device 40, so that it can activate the explosion suppression scheme accordingly, thereby achieving precise and active suppression of different explosion intensities and development stages.

[0044] It should be noted that the explosion suppression device 40 can adjust in real time according to the flame propagation speed and Adjusting the concentration of free radicals to control the intensity of detonation suppression forms a dynamic feedback chain for detonation suppression, which can further improve the reliability of the visualization and detonation control system 100 for the combustion and detonation characteristics of ammonia-mixed fuels.

[0045] With this configuration, the suppression of the combustion explosion process in the combustion chamber by the explosion suppression device 40 is based on a more comprehensive and in-depth understanding, especially since the explosion suppression device 40 introduces the following factors into its suppression of the combustion explosion process in the combustion chamber: Free radical concentration, The concentration of free radicals can directly reflect the intensity of combustion, significantly improving the reliability, real-time performance and dynamic response characteristics of the explosion suppression device 40 intervention. It overcomes the lag and indirectness that may exist when relying solely on physical parameters, and ultimately achieves more precise and proactive explosion suppression control of the combustion process.

[0046] On the other hand, relying on the predictive capabilities of the neural network early warning device 30, the intervention timing of the explosion suppression device 40 can be significantly advanced. It does not passively respond only after a violent explosion has occurred within the combustion chamber, but actively suppresses the explosion in a stage where the combustion process is becoming unstable and about to reach the critical explosion state, but before a substantial explosion occurs. This prediction-based proactive safety strategy significantly improves the timeliness and foresight of the explosion suppression action, thereby continuously ensuring that the combustion chamber remains in a safe state and preventing devastating explosions. This not only greatly enhances the intrinsic safety of the experimental process but also provides crucial reliability assurance for the continuous and stable study of the combustion characteristics of mixed gases.

[0047] In addition, the holographic monitoring device 20, the neural network early warning device 30, and the explosion suppression device 40 achieve hard real-time data exchange through a field programmable gate array (FPGA), resulting in lower latency. This improves the response speed of explosion suppression, thereby further enhancing the reliability of explosion suppression and the stability and safety of combustion.

[0048] It should be noted that the obstacle topology includes the blade tilt angle of the adjustable frequency impeller and the driving frequency of the stepper motor that drives the adjustable frequency impeller 13 to rotate.

[0049] In some embodiments of the present invention, the neural network early warning device 30 has a control interface that allows experimental personnel to start and stop it with one click, thereby improving the ease of operation of the visualization and explosion suppression synergistic control system 100 for the combustion and explosion characteristics of ammonia mixed fuel.

[0050] The explosion suppression device 40 includes a gas-phase inhibitor supply unit, a liquid-phase inhibitor supply unit, an explosion suppressant premixing chamber, an explosion suppressant injection pipeline, and a solenoid valve. The gas-phase inhibitor supply unit includes a gas-phase inhibitor storage tank and a gas-phase inhibitor inlet pipe connected thereto; the liquid-phase inhibitor supply unit includes a liquid-phase inhibitor storage tank and a liquid-phase atomization module and a liquid-phase inhibitor inlet pipe connected thereto; the explosion suppressant premixing chamber is respectively provided with gas-phase and liquid-phase inhibitor inlets, the gas-phase inhibitor inlets being connected to the gas-phase inhibitor inlet pipe, and the liquid-phase inhibitor inlets being connected to the liquid-phase inhibitor inlet pipe; the explosion suppressant injection pipeline has one end connected to the outlet of the explosion suppressant premixing chamber and the other end extending into the combustion chamber; the solenoid valve is installed on the explosion suppressant injection pipeline and is communicatively connected to the neural network early warning device 30; wherein, mass flow controllers are respectively installed on the gas-phase inhibitor inlet pipe and the atomized liquid-phase inhibitor inlet pipe, and the solenoid valve is communicatively connected to the neural network early warning device 30.

[0051] Specifically, a gaseous inhibitor is introduced into the premixed chamber of the explosion suppressant through a gaseous inhibitor inlet pipe, and an atomized liquid inhibitor is introduced into the premixed chamber through a liquid inhibitor inlet pipe. The gaseous and atomized liquid inhibitors collide and mix in the premixed chamber to form a two-phase flow inhibitor, which is then delivered into the combustion chamber to suppress combustion and explosion. Gaseous inhibitors, such as carbon dioxide, can effectively suppress the explosion process, even at high temperatures. Decomposition produces reactive oxygen atoms: The oxygen atom and Combined generation (seemingly contradictory increase) Concentration, in fact, consumes the more reactive... Free radicals, inhibit chain branching reactions ( ).

[0052] Water-based liquid inhibitors with a particle size < 10 μm are atomized through an ultrasonic nozzle, achieving vaporization and heat absorption to reduce flame temperature, while expanding steam dilutes oxygen concentration and promotes... Free radical complexation reaction ( Each gram of water mist can absorb 2.26 kJ of heat.

[0053] Therefore, by mixing the gas-phase inhibitor and the liquid-phase inhibitor in the premixed chamber of the explosion suppressant and then delivering them to the combustion chamber to suppress combustion and explosion, the explosion suppression device 40 can comprehensively improve the suppression effect of combustion and explosion.

[0054] In some embodiments of the present invention, the explosion suppression device 40 further includes a plurality of nozzles, which are circumferentially spaced in the combustion chamber. The inlets of the plurality of nozzles are all connected to the outlets of the gas-phase and liquid-phase two-phase flow inhibitors, and the outlets of the plurality of nozzles are all connected to the combustion chamber.

[0055] Specifically, by circumferentially arranging multiple nozzles on the inner wall of the combustion chamber, with the inlets of each nozzle connected to the supply lines of the gas- and liquid-phase two-phase flow inhibitor and the outlets of each nozzle connected to the combustion chamber, the multiple nozzles can work together to form a uniform and comprehensive inhibitor barrier within the combustion chamber when the explosion suppression device 40 is activated according to a warning signal. This spatially distributed explosion suppression agent spraying method significantly improves the contact efficiency between the explosion suppression agent and the flame / explosion wave, achieving a rapid and uniform explosion suppression response, thereby further enhancing the reliability of the explosion suppression process and the overall system's safety protection capability.

[0056] Furthermore, the nozzle can be an ultrasonic atomizing nozzle, which can efficiently atomize the two-phase flow of gas-phase and liquid-phase inhibitors, allowing the inhibitor to penetrate the core region of the flame and improve the effect of combustion suppression in the combustion chamber. It should be noted that multiple nozzles are driven by electromagnetic pulses, and an 80 ms-level injection suppression response is achieved through a dynamic adjustment algorithm, which can further improve the timeliness of the suppression device 40.

[0057] In some embodiments of the present invention, the gas distribution device 11 includes multiple air inlet channels, a mass flow controller, a spiral mixing chamber, and a high-pressure air inlet valve. The multiple air inlet channels are suitable for introducing different types of gases, and each of the multiple air inlet channels is provided with a mass flow controller. The inlet of the spiral mixing chamber is connected to the multiple air inlet channels, and the outlet of the spiral mixing chamber is connected to the high-pressure air inlet valve.

[0058] Specifically, by allowing multiple independent air intake channels to carry various different types of gases, in some specific embodiments of the present invention, the system can be configured with up to five air intake channels, each capable of carrying different types of gases. The gas mixes with CO and other combustible gases or oxidizers. Each gas channel is transported via pipeline to the spiral mixing chamber for mixing, and then enters the combustion chamber at a preset pressure through the high-pressure inlet valve. This design not only utilizes the unique structure of the spiral mixing chamber to ensure uniform mixing of the multi-component gases, but also achieves stable entry of the mixed gas into the combustion chamber at a predetermined pressure and flow rate through precise control of the high-pressure inlet valve. This provides crucial assurance for establishing controllable and repeatable experimental conditions within the combustion chamber, greatly facilitating the research and analysis of combustion characteristics.

[0059] Combination Figure 2As shown, the method for visualizing and synergistically controlling the combustion and explosion characteristics of mixed fuels according to the present invention is applicable to the above-mentioned system 100 for visualizing and synergistically controlling the combustion and explosion characteristics of amino-mixed fuels, and includes the following steps:

[0060] S1. The synchronous control device 50 adjusts the oil bath circulation system to preheat the combustion chamber to the set temperature, controls the variable frequency impeller to rotate at the set frequency, controls the gas distribution device 11 to inject a precisely proportioned mixed gas into the combustion chamber, and controls the ignition device 12 to adjust the ignition energy and control the ignition electrode to ignite.

[0061] S2. Control the synchronous optical control module 21 and the explosion overpressure acquisition module 22 to acquire dynamic data of flame morphology, density field, three-dimensional flow field, pressure field and temperature field in the combustion chamber, and control the laser monitoring module 23 to acquire spatiotemporal evolution data of the concentration distribution of mixed gas pyrolysis products and the concentration distribution of free radicals in the combustion chamber.

[0062] S3. Control the data acquisition and fusion module to overlay flame morphology data, density field data, three-dimensional flow field data, temperature data, pressure wave data, mixed gas pyrolysis product concentration distribution data and free radical concentration distribution data to generate a 3D combustion and explosion field image;

[0063] S4. Based on the 3D combustion field image, construct a real-time explosion overpressure prediction system using a neural network. Input the proportion of the mixed gas in the combustion chamber, the topology of the obstacles in the combustion chamber, the initial temperature and initial pressure in the combustion chamber, and the ignition energy parameters, and output the maximum explosion pressure P. max Parameters and real-time security alert levels;

[0064] S5. The explosion suppression device 40 performs explosion suppression of corresponding intensity according to the safety warning level.

[0065] Specifically, the neural network adopts a dual-branch hybrid structure. The 3D-CNN branch processes the temporal data generated by the high-speed camera and schlieren scanner; the LSTM branch processes the temporal data generated by the fiber optic pressure sensor and laser monitoring module 23. After output layer fusion, physical constraints are embedded. The 3D-CNN branch contains two 3D convolutional layers: the first layer has a kernel size of 7×7×5 and 64 output channels, and the second layer has a kernel size of 5×5×3 and 128 output channels. The LSTM branch contains bidirectional LSTM layers with 256 and 128 hidden units, respectively. This design incorporates the first / second-order partial derivatives of the explosion dynamics equations (such as the Euler equation) as regularization terms into the loss function, significantly improving the generalization ability of the neural network in data-scarce regions.

[0066] Furthermore, relying on Field-Programmable Gate Array (FPGA) hardware acceleration, a 10 ms-level response is achieved: a pipelined parallel architecture is adopted to process image and time-series data simultaneously; neural network weights are embedded as hardware logic gates to avoid the instruction latency of traditional GPUs; and a dedicated memory channel is designed to enable direct data flow from each monitoring unit to the computing unit. Compared to traditional prediction models, this system will significantly improve inference speed and meet the requirements for millisecond-level early warning.

[0067] When the explosion risk index R is greater than the warning threshold R warn When the explosion suppression device 40 is activated, the explosion risk index R reflects the degree of explosion risk or the intensity of combustion and is used to determine whether the explosion suppression device 40 needs to be activated.

[0068] When the explosion risk index R is at the explosion suppression threshold R warn When the value is in the ~R1 range, it is considered a primary risk; when The free radical concentration data N is within the first threshold range. 1-2 When the growth rate dN / dt is greater than the first critical value, the explosion suppression device 40 performs explosion suppression treatment on the combustion chamber with the first set power PS1.

[0069] When the explosion risk index R is within the explosion suppression threshold range of R1~R2, it is judged as a medium risk; when The free radical concentration data N is in the second threshold range. 2-3 When the growth rate dN / dt is greater than the second critical value, the explosion suppression device 40 performs explosion suppression treatment on the combustion chamber with the second set power PS2 (PS2> PS1), wherein the second critical value is greater than the first critical value;

[0070] When the explosion risk index R is greater than the explosion suppression threshold R2 (R2> R1), it is judged as high risk; when When the free radical concentration data N is greater than the threshold N3, and its growth rate dN / dt is greater than the third critical value, and the pressure rise rate dP / dt is greater than the critical value, the explosion suppression device 40 performs explosion suppression treatment on the combustion chamber with the third set power PS3 (PS3> PS2), aiming to completely suppress the combustion of the mixed gas in the combustion chamber, wherein the third critical value is greater than the second critical value.

[0071] This setting can initiate corresponding intensity of explosion suppression operation according to different safety warning levels and explosion risk indices in the combustion chamber, thereby avoiding unnecessary consumption of explosion suppressant while ensuring the accuracy and reliability of the explosion suppression process, and achieving an optimized balance between safety and economy.

[0072] This graded response scheme can be tailored to the specific characteristics of the gas mixture: system experiments are conducted in a multi-parameter coupled combustion chamber 10 to test the critical concentration of OH radicals and its rate of change over time under different gas mixture ratios, initial pressures, temperatures, ignition energies, and humidity conditions. Based on this, a database of criterion thresholds associated with fuel characteristics is constructed, thereby dynamically optimizing the triggering conditions for graded knock suppression. This method effectively avoids knock suppression lag or excessive injection of knock suppressant caused by differences in fuel composition or operating conditions, ultimately achieving more precise, efficient, and adaptive targeted knock suppression.

[0073] Real-time free radical concentration can be obtained using a laser absorption spectroscopy inversion algorithm. Specifically, a tunable semiconductor laser in the ultraviolet band is used, combined with wavelength modulation spectroscopy (WMS) technology: scanning... The characteristic absorption line of free radicals near 306.7 nm was analyzed using a second harmonic (2f) signal, which was then demodulated to calculate the real-time concentration of free radicals. This concentration value was further corrected for the absorption coefficient by incorporating the temperature field distribution within the combustion chamber 10, thereby improving quantitative accuracy. Compared to traditional electrochemical sensors, this ultraviolet laser absorption spectroscopy detection method will... The detection delay of free radical concentration has been significantly reduced from the level of hundreds of milliseconds to the level of microseconds, enabling rapid and highly sensitive measurement of combustion intermediate products and greatly enhancing the response capability of real-time diagnosis and explosion suppression control in the combustion and explosion process.

[0074] Based on 3D combustion and explosion field images, a real-time explosion overpressure prediction system is constructed using a neural network. Input parameters include the ratio of the gas mixture in the combustion chamber, the topology of obstacles in the combustion chamber, the initial temperature, initial pressure, ignition energy, and humidity in the combustion chamber. Output parameters include the flame propagation speed within the combustion chamber and the maximum explosion pressure P. max The parameterization process is further implemented using three-dimensional combustion and explosion field reconstruction technology. The three-dimensional combustion and explosion field reconstruction technology specifically includes the following steps:

[0075] Flame morphology data, density field data, temperature field data, three-dimensional flow field data, pressure wave data, and free radical concentration data are spatially aligned using a field-programmable gate array (FPGA).

[0076] Based on the Marching Cubes algorithm, 3D isosurfaces of key parameters such as free radical concentration, temperature, and pressure are reconstructed from discrete monitoring data, enabling visualization of the multiphysics structure of the combustion and explosion field. In the reconstructed 3D scene, at the extreme points of the spatial distribution of free radical concentration, the local maximum explosion pressure value predicted in real time by the neural network is superimposed and displayed, and marked with directional three-dimensional vector symbols, dynamically and intuitively presenting the spatial location of high-risk areas and their overpressure intensity within the combustion chamber.

[0077] With this setup, compared to traditional two-dimensional planar early warning, three-dimensional combustion and explosion field reconstruction technology can intuitively display the propagation path and intensity gradient of the explosion shock wave.

[0078] To address the unique characteristics of ammonia-hydrogen mixed gases, the system integrates an online data expansion module: when a new operating condition is detected, such as NH3 / H2 > 8:2, a generative adversarial network (GAN) is automatically triggered to generate expanded samples based on existing data.

[0079] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0080] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0081] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A system for visualizing and synergistically controlling the combustion and detonation characteristics of ammonia-based blended fuels, characterized in that, It includes a combustion chamber, a holographic monitoring device, a neural network early warning device, a gas distribution device, an active explosion suppression device, and a synchronization control device; The combustion chamber contains a combustion cavity, and a viewing window is provided on one side of the combustion chamber. A variable frequency impeller and an ignition device are installed within the combustion cavity. The variable frequency impeller includes a drive motor and an impeller; the drive motor is located outside the combustion cavity, and the impeller is located inside the combustion cavity. The output shaft of the drive motor passes through the combustion chamber wall via a sealed structure and is connected to the impeller. The drive motor is a variable frequency motor and is connected to a vector controller for vector control. The ignition device includes an ignition electrode and a high-voltage controller; the ignition electrode is located inside the combustion cavity and is communicatively connected to the high-voltage controller. The gas distribution device is connected to the combustion chamber and is used to inject multi-amino mixed fuel gas into the combustion chamber according to a preset ratio, volume, initial pressure and humidity. The holographic monitoring device includes a synchronous optical control module, an explosion overpressure acquisition module, and a laser monitoring module. These modules are arranged around the combustion chamber and optically or physically connected to it. The synchronous optical control module includes a schlieren acquisition module, an image acquisition module, and an infrared temperature acquisition system, suitable for acquiring dynamic data on flame morphology, density field, three-dimensional flow field, and temperature field within the combustion chamber. The explosion overpressure acquisition module is used to acquire pressure data at different locations within the visualized combustion chamber. The laser monitoring module is suitable for acquiring spatiotemporal evolution data on the concentration distribution of pyrolysis products and the concentration distribution of free radicals in the mixed gas within the combustion chamber. The neural network early warning device includes a data acquisition and fusion module and a real-time prediction model for explosion overpressure; the data acquisition and fusion module is communicatively connected to the holographic monitoring device and is used to receive and acquire and fuse the multidimensional monitoring data detected by the holographic monitoring device. The real-time explosion overpressure prediction model is communicatively connected to the data fusion module. It is used to predict the maximum explosion overpressure value that may occur in the combustion chamber in real time based on the fused data, generate the explosion risk index R and the corresponding safety warning level, and activate the graded explosion suppression scheme according to the safety warning level. The explosion suppression device is installed inside the combustion chamber and is communicatively connected to the holographic monitoring device and the real-time prediction model of explosion overpressure, respectively, so as to set a graded explosion suppression scheme according to the safety warning level, thereby implementing active intervention with explosion suppression intensity and method that matches the different stages of combustion or explosion development in the combustion chamber. The synchronization control device includes a synchronization controller and a control terminal. The synchronization controller is communicatively connected to the variable frequency impeller, ignition device, gas distribution device, holographic monitoring device, neural network early warning device, and explosion suppression device system. The synchronization controller is connected to the control terminal, and the synchronization controller is communicatively connected to the control terminal.

2. The system for visualizing and synergistically controlling the combustion and explosion characteristics of ammonia-mixed fuels according to claim 1, characterized in that, The synchronous optical control module includes a high-speed camera, an infrared camera, a schlieren scanner, and a free radical LIF probe.

3. The system for visualizing and synergistically controlling the combustion and detonation characteristics of ammonia-mixed fuels according to claim 1, characterized in that, The explosion suppression device includes: a gas phase inhibitor supply unit, comprising a gas phase inhibitor storage tank and a gas phase inhibitor inlet pipe connected thereto; a liquid phase inhibitor supply unit, comprising a liquid phase inhibitor storage tank and a liquid phase atomization module and a liquid phase inhibitor inlet pipe connected thereto; an explosion suppressant premixing chamber, which is respectively provided with gas phase and liquid phase inhibitor inlets, the gas phase inhibitor inlet being connected to the gas phase inhibitor inlet pipe, and the liquid phase inhibitor inlet being connected to the liquid phase inhibitor inlet pipe; an explosion suppressant injection pipe, one end of which is connected to the outlet of the explosion suppressant premixing chamber, and the other end extending into the combustion chamber; and a solenoid valve, disposed on the explosion suppressant injection pipe and communicatively connected to the neural network early warning device; wherein, a mass flow controller is respectively installed on the gas phase inhibitor inlet pipe and the atomized liquid phase inhibitor inlet pipe; the solenoid valve is configured to open and close according to the received safety early warning level signal, and to inject a precisely proportioned gas-liquid phase inhibitor biphase aerosol generated in the explosion suppressant premixing chamber into the combustion chamber to suppress explosion.

4. The system for visualizing and synergistically controlling the combustion and detonation characteristics of ammonia-mixed fuels according to claim 3, characterized in that, The explosion suppression device also includes multiple nozzles, which are circumferentially spaced on the inner wall of the combustion chamber. The inlet of each nozzle is connected to the outlet of the gas-phase and liquid-phase two-phase flow inhibitor, and the outlet of each nozzle is connected to the combustion chamber.

5. The system for visualizing and synergistically controlling the combustion and detonation characteristics of ammonia-mixed fuels according to claim 1, characterized in that, The combustion chamber includes a first combustion chamber and a second combustion chamber. The second combustion chamber is located inside the first combustion chamber and is spaced apart from the inner wall of the first combustion chamber. The combustion cavity is located inside the second combustion chamber. A sandwich cavity is formed between the first combustion chamber and the second combustion chamber. The oil bath circulation system is connected to the sandwich cavity through a pipeline.

6. The system for visualizing and synergistically controlling the combustion and detonation characteristics of ammonia-mixed fuels according to claim 1, characterized in that, The gas distribution device includes multiple air inlet channels, a mass flow controller, a humidity generator, a spiral mixing chamber, and a high-pressure air inlet valve. The multiple air inlet channels are suitable for introducing different types of gases. The humidity generator is connected to the spiral mixing chamber through the air inlet channels. The mass flow controller is installed on each of the multiple air inlet channels. The inlet of the spiral mixing chamber is connected to the multiple air inlet channels, and the outlet of the spiral mixing chamber is connected to the high-pressure air inlet valve.

7. A method for visualizing and co-regulating the combustion and explosion characteristics of mixed fuels, applicable to the system for visualizing and co-regulating the combustion and explosion characteristics of amino-mixed fuels as described in any one of claims 1-6, characterized in that, Includes the following steps: The synchronous control device adjusts the oil bath circulation system to preheat the combustion chamber to the set temperature, controls the variable frequency impeller to rotate at the set frequency, controls the gas distribution device to inject a precisely proportioned mixed gas into the combustion chamber, and controls the ignition device to adjust the ignition energy and control the ignition electrode to ignite. The synchronous optical control module and the explosion overpressure acquisition module are controlled to acquire dynamic data of flame morphology, density field, three-dimensional flow field, pressure field and temperature field in the combustion chamber. The laser monitoring module is controlled to acquire spatiotemporal evolution data of the concentration distribution of pyrolysis products and free radical concentration distribution of the mixed gas in the combustion chamber. The control module overlays flame morphology data, density field data, three-dimensional flow field data, temperature data, pressure wave data, mixed gas pyrolysis product concentration distribution data, and free radical concentration distribution data to generate a 3D combustion and explosion field image. Based on the 3D combustion field image, a real-time explosion overpressure prediction system is constructed using a neural network. The system takes into account the proportion of the mixed gas in the combustion chamber, the topology of obstacles in the combustion chamber, the initial temperature and pressure in the combustion chamber, and the ignition energy parameters. The system outputs the maximum explosion pressure P. max Parameters and real-time security alert levels; The explosion suppression device provides explosion suppression of corresponding intensity according to the safety warning level.

8. The method for visualizing and synergistically controlling the combustion and explosion characteristics of mixed fuels according to claim 7, characterized in that, The real-time explosion overpressure prediction system can also generate flame propagation speed parameters, and the explosion suppression device is based on the maximum explosion pressure P. max The explosion risk index R is obtained from the parameters, the flame propagation speed parameter, and the free radical concentration data; When the explosion risk R is greater than the warning threshold R warn When the explosion is detected, the early warning system controls the explosion suppression device to start; the explosion risk R is a value calculated based on the environmental parameters inside the combustion chamber and used to characterize the degree of explosion risk.

9. The method for visualizing and synergistically controlling the combustion and explosion characteristics of mixed fuels according to claim 8, characterized in that, N is Free radical concentration data, when the explosion risk index R is at the explosion suppression threshold R warn When the value is in the ~R1 range, it is considered a primary risk; when The free radical concentration data N is within the first threshold range. 1-2 When the growth rate dN / dt is greater than the first critical value, the explosion suppression device performs explosion suppression treatment on the combustion chamber with the first set power PS1. When the explosion risk R is within the explosion suppression threshold range R1~R2, it is judged as a medium risk; when The free radical concentration data N is in the second threshold range. 2-3 When the growth rate dN / dt is greater than the second critical value, the explosion suppression device performs explosion suppression treatment on the combustion chamber with a second set power PS2 (PS2> PS1), wherein the second critical value is greater than the first critical value; When the explosion risk R is greater than the explosion suppression threshold R2 (R2 > R1), it is judged as a high risk; when When the free radical concentration data N is greater than the threshold N3, and its growth rate dN / dt is greater than the third critical value, and the pressure rise rate dP / dt is greater than the critical value, the explosion suppression device 40 performs explosion suppression treatment on the combustion chamber with the third set power PS3 (PS3> PS2), aiming to completely suppress the combustion of the mixed gas in the combustion chamber, wherein the third critical value is greater than the second critical value.

10. The method for visualizing and synergistically controlling the combustion and explosion characteristics of mixed fuels according to claim 7, characterized in that, The system constructs a real-time explosion overpressure prediction system based on a neural network using the 3D combustion field image. It takes into account the proportion of the mixed gas in the combustion chamber, the topology of obstacles in the combustion chamber, the initial temperature and pressure in the combustion chamber, and the ignition energy parameters. The system outputs the flame propagation speed parameters and the maximum explosion pressure P within the combustion chamber. max The steps for setting parameters include: The output employs a three-dimensional combustion and explosion field reconstruction technology, which includes the following steps: Flame morphology data, density field data, temperature field data, three-dimensional flow field data, pressure wave data, and free radical concentration data are spatially aligned using a field-programmable gate array (FPGA). Isosurfaces are generated based on the Marching Cubes algorithm; The predicted maximum pressure value is superimposed at the extreme point of free radical concentration and marked with a three-dimensional vector to intuitively present the risk point.

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