RTO method and device based on waste gas treatment efficiency optimization

Abstract

The invention provides an RTO method and device based on waste gas treatment efficiency optimization, and the method comprises the steps: carrying out the chemical characteristic analysis and physical characteristic analysis of waste gas to be treated, and obtaining the parameter information corresponding to the waste gas; acquiring process information corresponding to a preset RTO method, and generating flow information and chemical reaction information corresponding to the RTO method according to the process information and the parameter information; constructing a waste gas treatment mathematical model according to the flow information, the chemical reaction information and the parameter information; obtaining physical property parameters and kinetic parameters corresponding to the waste gas according to the organic matter information; acquiring a physical structure of RTO equipment corresponding to the RTO method, and setting fluid dynamic simulation information corresponding to the physical structure according to the waste gas treatment mathematical model, the physical property parameters and the dynamic parameters; and according to a preset optimization algorithm, the initial waste gas flow and the initial combustion temperature, fluid dynamic simulation is conducted on the physical structure, and according to the obtained target waste gas flow and target combustion temperature, waste gas treatment is completed in the RTO equipment.

Description

Technical Field

[0001] The present application relates to the technical field of waste gas treatment, and in particular to an RTO method and device based on waste gas treatment efficiency optimization. Background Art

[0002] The Regenerative Thermal Oxidizer (RTO) method is an efficient industrial waste gas treatment technology, mainly used to treat industrial waste gas containing volatile organic compounds (VOCs) and other harmful substances. The basic principle of RTO is to heat the waste gas to a high temperature to promote the oxidation and decomposition of organic matter into water and carbon dioxide, thereby eliminating harmful components. RTO is widely used in many industries such as chemicals and coatings, and is of great significance in the efficient removal of VOCs. However, the existing RTO technology faces many challenges, such as:

[0003] 1. Energy consumption: Although RTO can effectively remove pollutants, the high energy consumption during its operation is still prominent. Since the exhaust gas needs to be heated to an extremely high temperature, its fuel consumption is large, resulting in high operating costs.

[0004] 2. Heat recovery efficiency: Traditional RTOs usually use thermal storage materials, such as ceramic fillers, for heat storage and exchange. However, most materials are insufficient in thermal efficiency and heat loss control.

[0005] 3. Adaptability to dynamic working conditions: During industrial production processes, the composition and emission of exhaust gas may fluctuate greatly. Traditional RTO systems usually find it difficult to quickly adjust parameters to adapt to these changes, resulting in reduced processing efficiency.

[0006] 4. Insufficient precise control: Most existing RTO systems rely on fixed control logic and cannot respond to changes in various variables in real time, thus affecting system efficiency and emission compliance.

[0007] Therefore, there is an urgent need for an RTO method and device based on waste gas treatment efficiency optimization to solve at least one of the above problems. Summary of the invention

[0008] The present application provides an RTO method and device based on exhaust gas treatment efficiency optimization, aiming to solve the problems faced by existing RTO technologies, such as high energy consumption, insufficient heat recovery efficiency, poor adaptability to dynamic working conditions, and insufficient precise control.

[0009] In a first aspect, the present application provides an RTO method based on waste gas treatment efficiency optimization, comprising:

[0010] Performing chemical and physical property analysis on the waste gas to be treated to obtain parameter information corresponding to the waste gas; the parameter information includes at least one or more of volatile organic compound information, concentration information, temperature information and flow rate information;

[0011] Acquire process information corresponding to a preset RTO method, and generate flow information and chemical reaction information corresponding to the RTO method according to the process information and the parameter information; wherein the flow information at least includes a mass conservation equation, a momentum conservation equation, and an energy conservation equation, and the chemical reaction information at least includes a chemical reaction equation;

[0012] Constructing a waste gas treatment mathematical model based on the flow information, chemical reaction information and parameter information;

[0013] Acquire the physical property parameters and kinetic parameters corresponding to the exhaust gas according to the organic matter information; the physical property parameters at least include density, viscosity and specific heat capacity, and the kinetic parameters at least include reaction rate constant;

[0014] Acquire the physical structure of the RTO device corresponding to the RTO method, and set the fluid dynamics simulation information corresponding to the physical structure according to the waste gas treatment mathematical model, physical property parameters and dynamic parameters;

[0015] According to the preset optimization algorithm, the initial exhaust gas flow rate and the initial combustion temperature, the fluid dynamics simulation of the set physical structure is performed to obtain the target exhaust gas flow rate and the target combustion temperature, and the exhaust gas is processed in the RTO device according to the target exhaust gas flow rate and the target combustion temperature.

[0016] In some embodiments, the chemical property analysis and physical property analysis of the waste gas to be treated are performed to obtain parameter information corresponding to the waste gas, including: obtaining the volatile organic compound components corresponding to the waste gas based on a gas chromatography-mass spectrometry method, and generating the volatile organic compound information according to the volatile organic compound components; and / or, obtaining the concentration of each component in the waste gas according to a gas chromatograph, and generating the concentration information according to multiple concentrations; and / or, measuring the temperature information of the waste gas when it flows in according to a preset temperature sensing module; and / or, measuring the flow rate information of the waste gas when it flows in according to a preset ultrasonic flowmeter.

[0017] In some embodiments, the parameter information also includes flow information, and the process information includes material transportation information, pressure information, pipeline friction resistance information, enthalpy change information and heat loss information; generating the flow information and chemical reaction information corresponding to the RTO method according to the process information and the parameter information includes: constructing the mass conservation equation according to the flow information and material transportation information; constructing the momentum conservation equation according to the flow rate information, pressure information and pipeline friction resistance information; constructing the energy conservation equation according to the enthalpy change information and heat loss information; obtaining high temperature reaction characteristics according to the volatile organic compound information, and constructing the chemical reaction information according to the high temperature reaction characteristics.

[0018] In some embodiments, the fluid dynamics simulation information includes fluid properties, boundary conditions, and reaction conditions; the fluid dynamics simulation information corresponding to the physical structure is set according to the waste gas treatment mathematical model, physical parameters and kinetic parameters, including: setting the fluid properties according to the density, viscosity and specific heat capacity in the physical parameters; obtaining the inlet initial flow rate, outlet initial flow rate and wall temperature corresponding to the RTO device according to the waste gas treatment mathematical model; setting the boundary conditions according to the inlet initial flow rate, outlet initial flow rate and wall temperature; setting the reaction conditions according to the kinetic parameters and the waste gas treatment mathematical model.

[0019] In some embodiments, before performing fluid dynamics simulation on the physical structure that has been set up according to a preset optimization algorithm, initial exhaust gas flow rate, and initial combustion temperature, it also includes: determining multiple target areas in the physical structure; wherein the target areas at least include a reaction area, a flow separation area, and a boundary layer area; meshing the target areas in the physical structure according to a first mesh density; meshing the remaining areas in the physical structure except the target areas according to a second mesh density; wherein the first mesh density is greater than the second mesh density.

[0020] Exemplarily, before performing fluid dynamics simulation on the physical structure that has been set up according to a preset optimization algorithm, an initial exhaust gas flow rate, and an initial combustion temperature, the method further includes: performing fluid dynamics simulation on the physical structure that has been set up according to the initial exhaust gas flow rate and the initial combustion temperature to obtain preliminary simulation results; wherein the preliminary simulation results include the temperature change distribution and the concentration change distribution of the exhaust gas in the physical structure; determining a plurality of key areas and a plurality of stable areas in the physical structure according to the temperature change distribution and the concentration change distribution; determining a mesh refinement value corresponding to each key area according to the temperature error information, the temperature gradient information, the concentration error information, and the concentration gradient information corresponding to each key area; determining a mesh coarsening value corresponding to the key area according to the temperature error information, the temperature gradient information, the concentration error information, and the concentration gradient information corresponding to each stable area; in the physical structure, refining the mesh of the key area according to the mesh refinement value, and coarsening the mesh of the stable area according to the mesh coarsening value, thereby completing mesh optimization of the physical structure.

[0021] In some embodiments, the physical structure that has been set up is subjected to a fluid dynamics simulation according to a preset optimization algorithm, an initial exhaust gas flow rate, and an initial combustion temperature to obtain a target exhaust gas flow rate and a target combustion temperature, including: constructing an objective function corresponding to the fluid dynamics simulation; adjusting the initial exhaust gas flow rate and the initial combustion temperature according to a preset optimization algorithm to generate an adjusted flow rate and an adjusted temperature; calculating the objective function value corresponding to each group of the adjusted flow rates and adjusted temperatures; if the objective function value meets preset conditions, determining the adjusted flow rate and adjusted temperature corresponding to the objective function value as the target exhaust gas flow rate and the target combustion temperature, respectively.

[0022] Exemplarily, constructing the objective function corresponding to the fluid dynamics simulation includes: constructing the objective function corresponding to the fluid dynamics simulation according to the removal efficiency corresponding to the exhaust gas and the equipment energy consumption of the RTO equipment; wherein the expression of the objective function includes:

[0023] ;

[0024] Among them, the is the objective function value, is the exhaust gas concentration corresponding to the inlet of the RTO device in each fluid dynamics simulation, is the exhaust gas concentration corresponding to the outlet of the RTO device in each fluid dynamics simulation, is the removal efficiency, is the mass flow rate of the exhaust gas in the RTO device in each fluid dynamics simulation, The equipment efficiency corresponding to the RTO equipment in each fluid dynamics simulation, is the device temperature change value corresponding to the RTO device in each fluid dynamics simulation, is the energy consumption of the device, is the first weight, is the first weight.

[0025] In some embodiments, the RTO device includes at least a variable frequency fan, a burner, a heat storage bed and an exhaust gas detection module; the processing of the exhaust gas in the RTO device according to the target exhaust gas flow rate and the target combustion temperature includes: determining the speed corresponding to the variable frequency fan according to the target exhaust gas flow rate; determining the fuel supply and air intake corresponding to the burner according to the target combustion temperature; determining the switching cycle of the valve corresponding to the heat storage bed according to the target exhaust gas flow rate and the target combustion temperature; in the process of the RTO device performing exhaust gas treatment, obtaining the exhaust component information, exhaust temperature information and exhaust flow information discharged by the heat storage bed through the exhaust gas detection module; and adjusting the speed, fuel supply, air intake and switching cycle in real time according to the exhaust component information, exhaust temperature information and exhaust flow information.

[0026] In a second aspect, an embodiment of the present application provides an RTO device based on waste gas treatment efficiency optimization, comprising:

[0027] A characteristic analysis unit, used to perform chemical characteristic analysis and physical characteristic analysis on the waste gas to be treated, and obtain parameter information corresponding to the waste gas; the parameter information includes at least one or more of volatile organic compound information, concentration information, temperature information and flow rate information;

[0028] A process acquisition unit, used to acquire process information corresponding to the RTO method, and generate flow information and chemical reaction information corresponding to the RTO method according to the process information and the parameter information; wherein the flow information at least includes a mass conservation equation, a momentum conservation equation, and an energy conservation equation, and the chemical reaction information at least includes a chemical reaction equation;

[0029] A model building unit, used to build a waste gas treatment mathematical model according to the flow information, chemical reaction information and parameter information;

[0030] A parameter acquisition unit, used to acquire physical property parameters and kinetic parameters corresponding to the exhaust gas according to the organic matter information; the physical property parameters at least include density, viscosity and specific heat capacity, and the kinetic parameters at least include reaction rate constant;

[0031] A setting completion unit is used to obtain the physical structure of the RTO device corresponding to the RTO method, and set the fluid dynamics simulation information corresponding to the physical structure according to the waste gas treatment mathematical model, physical property parameters and dynamic parameters;

[0032] The processing completion unit is used to perform fluid dynamics simulation on the physical structure that has been set according to a preset optimization algorithm, an initial exhaust gas flow rate, and an initial combustion temperature, obtain a target exhaust gas flow rate and a target combustion temperature, and complete the processing of the exhaust gas in the RTO device according to the target exhaust gas flow rate and the target combustion temperature.

[0033] The method provided in the present application firstly performs a detailed analysis of the chemical and physical properties of the waste gas to be treated. The parameter information obtained includes but is not limited to the type, concentration, temperature, flow rate, etc. of volatile organic compounds (VOCs). Then, the flow information and chemical reaction information related to waste gas treatment are generated through the preset RTO process information. The flow information includes the mass conservation equation, the momentum conservation equation, and the energy conservation equation. The chemical reaction information covers the relevant chemical reaction equations to ensure that the reaction process is accurately simulated. Then, the above information is used to build an accurate mathematical model to simulate the behavior of the waste gas in the treatment system. The mathematical model provides a basis for subsequent optimization and simulation. Further, based on the organic matter information in the waste gas, its physical parameters (such as density, viscosity, specific heat capacity) and kinetic parameters (such as reaction rate constant) are calculated to ensure the physical accuracy of the model. Furthermore, according to the physical structure and mathematical model of the RTO device, fluid dynamics simulation information for detailed analysis of fluid behavior is set. Finally, a preset optimization algorithm is used to perform a fluid dynamics simulation at the set initial waste gas flow rate and initial combustion temperature to determine the optimal target waste gas flow rate and combustion temperature. Adjust the operating conditions of the RTO equipment to achieve efficient treatment of exhaust gas.

[0034] The provided method has the following beneficial effects:

[0035] 1. Reduce energy consumption: By optimizing combustion temperature and exhaust gas flow, the heat recovery efficiency is maximized, which significantly reduces energy consumption.

[0036] 2. High heat recovery efficiency: Accurate simulation and optimization algorithms improve the efficiency of heat recovery, allowing the system to maintain high efficiency during operation.

[0037] 3. Enhanced adaptability to dynamic operating conditions: Adapt to different exhaust gas compositions and operating conditions to ensure that the device can operate stably under various operating conditions.

[0038] 4. Accurate process control: With the help of detailed fluid dynamics and chemical reaction simulation, highly accurate control of the exhaust gas treatment process can be achieved to reduce pollution emissions.

[0039] 5. Overall economy: By reducing energy consumption and improving processing efficiency, the overall operating cost is reduced, making RTO technology more economically feasible.

[0040] The above beneficial effects work together to not only solve the problems of high energy consumption and poor heat recovery in traditional RTO systems, but also improve their adaptability and control accuracy, providing an efficient and reliable solution for industrial waste gas treatment.

[0041] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 A schematic flow chart of an RTO method based on waste gas treatment efficiency optimization according to an embodiment of the present application;

[0044] Figure 2 This is a schematic diagram of the structure of an RTO device based on waste gas treatment efficiency optimization shown in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of the structure of a computer device shown in an embodiment of the present application.

[0046] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0047] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, systems, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0048] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0049] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0050] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0051] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0052] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0053] The technical solution of the embodiment of the present application is introduced below.

[0054] The Regenerative Thermal Oxidizer (RTO) method is an efficient industrial waste gas treatment technology, mainly used to treat industrial waste gas containing volatile organic compounds (VOCs) and other harmful substances. The basic principle of RTO is to heat the waste gas to a high temperature to promote the oxidation and decomposition of organic matter into water and carbon dioxide, thereby eliminating harmful components. RTO is widely used in many industries such as chemicals and coatings, and is of great significance in the efficient removal of VOCs. However, the existing RTO technology faces many challenges, such as:

[0055] 1. Energy consumption: Although RTO can effectively remove pollutants, the high energy consumption during its operation is still prominent. Since the exhaust gas needs to be heated to an extremely high temperature, its fuel consumption is large, resulting in high operating costs.

[0056] 2. Heat recovery efficiency: Traditional RTOs usually use thermal storage materials, such as ceramic fillers, for heat storage and exchange. However, most materials are insufficient in thermal efficiency and heat loss control.

[0057] 3. Adaptability to dynamic working conditions: During industrial production processes, the composition and emission of exhaust gas may fluctuate greatly. Traditional RTO systems usually find it difficult to quickly adjust parameters to adapt to these changes, resulting in reduced processing efficiency.

[0058] 4. Insufficient precise control: Most existing RTO systems rely on fixed control logic and cannot respond to changes in various variables in real time, thus affecting system efficiency and emission compliance.

[0059] Therefore, there is an urgent need for an RTO method and device based on waste gas treatment efficiency optimization to solve at least one of the above problems.

[0060] Please refer to Figure 1 , Figure 1 A schematic flow chart of an RTO method based on waste gas treatment efficiency optimization provided in an embodiment of the present application. The RTO method based on waste gas treatment efficiency optimization in an embodiment of the present application can be applied to computer devices, including but not limited to smart phones, laptops, tablet computers, desktop computers, physical servers, cloud servers and other devices. Figure 1 As shown, the RTO method based on the EEG signal and based on the optimization of the exhaust gas treatment efficiency of this embodiment includes steps S101 to S106, which are described in detail as follows:

[0061] Step S101. Perform chemical and physical property analysis on the waste gas to be treated to obtain parameter information corresponding to the waste gas; the parameter information includes at least one or more of volatile organic compound information, concentration information, temperature information and flow rate information.

[0062] Specifically, computer equipment can use gas chromatography-mass spectrometry (GC-MS), Fourier transform infrared spectroscopy (FTIR) and other technologies to identify and quantitatively analyze various volatile organic compounds (VOCs) in exhaust gas for chemical property analysis. On the physical analysis day, flow meters, temperature sensors and other dynamic parameters such as gas flow and temperature can be obtained. In addition, computer equipment can process volatility data and obtain stability reference values ​​by combining big data analysis and statistical induction. For example, the exhaust gas sample is extracted at a constant rate through a sampling pipeline, and after the water is removed through a condensation system, it enters the GC-MS for VOC analysis. Continuously monitor the flow and temperature and generate time series data. In addition, step S101 ensures that accurate basic parameters are provided for downstream optimization steps through precise analysis and data processing, which helps to identify hidden variables and subsequent dynamic adjustments.

[0063] In some embodiments, chemical and physical property analyses are performed on the waste gas to be treated to obtain parameter information corresponding to the waste gas, including: obtaining volatile organic components corresponding to the waste gas based on a gas chromatography-mass spectrometry method, and generating volatile organic compound information based on the volatile organic component.

[0064] In the above embodiment, the waste gas sample is condensed and filtered to remove impurities and moisture, and then injected into the gas chromatograph. In the gas chromatographic column, various organic substances are separated according to different volatilities and polarities. Subsequently, the separated compounds enter the mass spectrometer for mass spectrometry fragmentation pattern analysis to identify specific organic components. For example, in industrial waste gas containing benzene series, this method can identify components such as benzene, toluene, and xylene, and determine their relative abundance. Accurately identifying the types and contents of organic matter in the waste gas is helpful for subsequent process adjustment and risk assessment. At the same time, it can also provide data support, respond quickly when the concentration of organic matter changes, and adjust the operating parameters of the RTO system.

[0065] In some embodiments, chemical property analysis and physical property analysis are performed on the waste gas to be treated to obtain parameter information corresponding to the waste gas, including: obtaining the concentration of each component in the waste gas according to a gas chromatograph, and generating concentration information according to multiple concentrations.

[0066] The above embodiment uses the ion detector or flame ionization detector (FID) of the gas chromatograph for quantitative analysis to obtain the peak area of ​​each component. The peak area can be converted into accurate concentration data by using the calibration curve of the known standard. For example, when monitoring the waste gas containing chlorinated hydrocarbons, the purification efficiency and dynamic performance of the device can be analyzed by the change of the concentration value. Then, the concentration of each VOCs in the waste gas can be accurately measured, which is helpful to judge the sufficiency of the chemical reaction and optimize the combustion efficiency.

[0067] In some embodiments, chemical property analysis and physical property analysis are performed on the waste gas to be treated to obtain parameter information corresponding to the waste gas, including: measuring temperature information of the waste gas when it flows in according to a preset temperature sensing module.

[0068] The above embodiment integrates accurate temperature sensors (such as PT100 thermal resistors or thermocouples) in the exhaust gas pipeline to perform real-time temperature monitoring. The sensor data is connected to the automated control system for real-time processing and storage. For example, high-temperature organic gases emitted by plastic processing plants are monitored to ensure that the impact of temperature on VOC concentration is minimized. In addition, real-time temperature monitoring can optimize the thermal management of the exhaust gas treatment device and improve the operating stability of the equipment. By monitoring the temperature changes of the inflowing gas, the combustion chamber temperature setting can be accurately adjusted to maximize the oxidation efficiency.

[0069] In some embodiments, chemical property analysis and physical property analysis are performed on the waste gas to be treated to obtain parameter information corresponding to the waste gas, including: measuring flow rate information of the waste gas when it flows in according to a preset ultrasonic flow meter.

[0070] The above embodiment measures the gas flow rate by using the ultrasonic time difference method that does not interfere with the fluid. The flow rate data is combined with the instantaneous flow calculation to provide instant information on the total exhaust gas delivery. For example, during the solvent volatilization process, the escaped solvent exhaust gas is measured to evaluate the gas delivery efficiency and treatment requirements. Thus, there is no need to contact the fluid, providing a flow measurement method with robust transmission and low maintenance cost. At the same time, accurate flow rate measurement supports load management and process regulation, optimizing combustion and heat exchanger efficiency.

[0071] Furthermore, the above four embodiments provide a comprehensive exhaust gas data analysis and processing basis by integrating multiple detection methods (GC-MS, FID, temperature and flow sensors). At the same time, through accurate monitoring and data acquisition, the RTO system can quickly respond to changes in environmental and process conditions. By collecting detailed characteristic information, it also supports accurate control strategy adjustments in RTO equipment, improves resource utilization efficiency, and reduces pollutant emissions. Corresponding real-time data analysis and monitoring help comply with environmental regulations and avoid legal risks and economic penalties caused by pollution incidents. Through multi-dimensional and high-precision analysis, the exhaust gas treatment process is made scientific and intelligent, greatly improving the efficacy and reliability of the RTO system.

[0072] Step S102. Obtain process information corresponding to the preset RTO method, and generate flow information and chemical reaction information corresponding to the RTO method according to the process information and parameter information; wherein the flow information at least includes the mass conservation equation, the momentum conservation equation and the energy conservation equation, and the chemical reaction information at least includes the chemical reaction equation.

[0073] Specifically, the computer equipment obtains information including operation mode, bed switching time, combustion chamber temperature range, pressure conditions, etc. Regeneration includes, for example, using computational fluid dynamics (CFD) software to generate a flow model and solve the Navier-Stokes equation. Then, a detailed chemical reaction mechanism is established, and reaction kinetics simulation software is used to process a large number of reactants / product interactions. For example, parameter optimization is performed using RTO historical operation data and fault data analysis. The reaction rate under different operating conditions and its impact on energy consumption are calculated by programming. Then, step S102 supports more efficient process control and operation and reduces unnecessary energy waste by providing detailed guidelines for optimization and adjustment.

[0074] In some embodiments, the parameter information also includes flow information, and the process information includes material transport information, pressure information, pipeline friction resistance information, enthalpy change information and heat loss information; the flow information and chemical reaction information corresponding to the RTO method are generated according to the process information and parameter information, including: constructing a mass conservation equation according to the flow information and material transport information; constructing a momentum conservation equation according to the flow rate information, pressure information and pipeline friction resistance information; constructing an energy conservation equation according to the enthalpy change information and heat loss information; obtaining high temperature reaction characteristics according to volatile organic compound information, and constructing chemical reaction information according to the high temperature reaction characteristics.

[0075] The meaning of each information in the process information mentioned in the above embodiment is:

[0076] Flow information: The volume flow and mass flow of exhaust gas, usually measured in real time by ultrasonic flow meters.

[0077] Material transport information: including the fluid's diffusion coefficient, molecular migration rate, and mass transfer characteristics when passing through a pipeline.

[0078] Pressure information: static and dynamic pressure data of the system, obtained from the differential pressure sensor.

[0079] Pipeline friction resistance information: calculated from the Reynolds number and friction factor of the fluid, taking into account factors such as pipeline material and surface roughness.

[0080] Enthalpy change information: The change in enthalpy of exhaust gas from entry to exit is calculated based on the principles of chemical thermodynamics.

[0081] Heat loss information: Heat loss caused by thermal radiation, thermal conduction and convection of the environment to the equipment, which needs to take into account the insulation effect and ambient temperature.

[0082] The mass conservation equation is to ensure the mass inflow and outflow balance of exhaust gas in the system by applying the continuity equation based on the flow information and material transport information. Then, in the complex branch pipeline network corresponding to the RTO equipment, the dynamic changes of different combinations of fluid entering and discharging are handled.

[0083] The momentum conservation equation describes the momentum change of exhaust gas by applying the Navier-Stokes equation based on the flow velocity information, pressure information and pipeline friction resistance information. For example, it can evaluate the impact of different pipeline materials and designs on flow resistance during the exhaust gas treatment process, thereby optimizing the pipeline design.

[0084] The energy conservation equation uses enthalpy change information and heat loss information and the first law of thermodynamics to describe the energy distribution and loss in the system. It then analyzes the thermal efficiency of each section in the RTO equipment and provides data support for the configuration of insulation materials.

[0085] Chemical reaction information is to extract high temperature reaction characteristics from volatile organic compound information, taking into account chemical kinetics and thermochemical data, such as reaction rate constants and reaction heat release. For example, the reaction rate equation based on the Arrhenius law is used to simulate complex combustion reaction chains, and the removal rate of volatile organic compounds is improved through mechanism analysis.

[0086] Furthermore, the above-mentioned embodiments obtain a more accurate process description by combining data from flow paths, physics and chemistry. At the same time, through the application of the above-mentioned conservation equations, the fluid transmission efficiency and heat exchange efficiency can be optimized, and energy consumption can be effectively reduced. In addition, the integration of multi-faceted data promotes more scientific control of the RTO system, and helps to accurately monitor pollutant removal and emissions. By providing a direct basis for the physical design of the RTO equipment and the optimization of the reaction process parameters, the exhaust gas treatment effect and equipment reliability are ultimately improved. At the same time, by effectively utilizing the detailed mathematical modeling and parameter integration information in the embodiments, the RTO method can achieve efficient and economical operation while ensuring compliance.

[0087] Step S103: Construct a waste gas treatment mathematical model based on flow information, chemical reaction information and parameter information.

[0088] Specifically, the selection of the mathematical model involved can be achieved by selecting a suitable mechanism model, such as a fracture model, a generation-consumption reaction model, etc. For the application of numerical solutions, numerical solutions such as the finite volume method and the finite element method can be used for solving. By comparing with the experimental results, the model parameters are debugged to ensure the accuracy of the model. For example, in the finite element analysis software COMSOL Multiphysics, multi-physics field coupling simulation is performed to analyze the interaction between flow, reaction, and heat transfer, and Python scripts are used to automate parameter adjustment to reduce human errors. Step S103 can improve the accuracy and predictability of the model, enhance the ability to accurately implement the strategy, and provide a solid foundation for energy conservation and emission control.

[0089] Step S104. Obtain physical property parameters and kinetic parameters corresponding to the exhaust gas according to the organic matter information; the physical property parameters include at least density, viscosity and specific heat capacity, and the kinetic parameters include at least reaction rate constant.

[0090] Specifically, the acquisition of physical properties and kinetic parameters can be performed by computer equipment using mature databases (such as NIST, Aspen Plus) to obtain accurate physical properties and kinetic parameters. The database parameters are calibrated through small-scale experiments to ensure applicability under actual process conditions. At the same time, the impact of the uncertainty of key parameters on the simulation results can also be evaluated, and the parameters can be adjusted through sensitivity analysis. For example, the heat capacity of benzene at different temperatures is determined experimentally and calibrated against the literature. The Monte Carlo method is used to perform uncertainty analysis on key parameters to ensure that the results are stable and reliable. In step S104, the reliability of model prediction can be significantly improved by accurately acquiring and optimizing physical properties and kinetic parameters, and accurate process condition settings can be provided.

[0091] Step S105: Obtain the physical structure of the RTO equipment corresponding to the RTO method, and set the fluid dynamics simulation information corresponding to the physical structure according to the waste gas treatment mathematical model, physical property parameters and dynamic parameters.

[0092] Specifically, the computer equipment creates a detailed three-dimensional geometric model of the RTO equipment, including the brick structure in each heat storage chamber. The setting of boundary conditions includes the refined setting of inlet and outlet conditions and wall exchange conditions. At the same time, appropriate grid division can be performed according to the flow characteristics to ensure the accuracy of the calculation while optimizing the calculation speed. For example, in the finite element analysis software, partitioned grids are used to process complex heat storage ceramic bed structures to ensure the detailedness of the simulation. The simulation settings include a fluid temperature change model to capture the temperature gradient of different parts of the equipment. Step S105 can then improve the realism and detail capture of the simulation, reveal the unevenness of the flow and heat distribution in the equipment, and thus guide actual process improvements.

[0093] In some embodiments, the fluid dynamics simulation information includes fluid properties, boundary conditions, and reaction conditions; the fluid dynamics simulation information corresponding to the physical structure is set according to the waste gas treatment mathematical model, physical parameters, and kinetic parameters, including: completing the setting of fluid properties according to the density, viscosity, and specific heat capacity in the physical parameters; obtaining the inlet initial flow rate, outlet initial flow rate, and wall temperature corresponding to the RTO device according to the waste gas treatment mathematical model; completing the setting of boundary conditions according to the inlet initial flow rate, outlet initial flow rate, and wall temperature; completing the setting of reaction conditions according to the kinetic parameters and the waste gas treatment mathematical model.

[0094] First, density, obtained from physical parameters, is usually a function of temperature and pressure and can be constant or variable. Viscosity is related to fluid temperature and is obtained through empirical formulas or databases such as NIST. Specific heat capacity is used in thermal flow analysis and is a function of fluid temperature and component concentration, affecting the heat transfer process. This allows for accurate simulation of flow and heat transfer by taking into account changes in gas viscosity during high temperature operations, especially when flow rate or pressure changes.

[0095] Then, through the exhaust gas treatment mathematical model, the initial flow rate at the inlet and outlet is determined according to the load conditions and equipment performance, usually specified as a fluid velocity distribution or average velocity. At the same time, the heat conduction of the wall is very important in the dynamic simulation. The wall temperature can be constant or change according to the surrounding environmental conditions. For example, during the simulation process, by defining different wall temperature conditions, the heat transfer effect of the equipment and how the insulation performance affects the overall efficiency are explored.

[0096] Then, the reaction process is described using a detailed chemical reaction mechanism including reaction rate constants, activation energy and other kinetic parameters. Different reaction conditions are set for different RTO modules, such as a fast and efficient oxidation layer and a slower burning auxiliary layer. For example, for RTO equipment with catalytic promoters, the catalytic reaction conditions must be set in detail, including the distribution of active centers and surface pass rate.

[0097] Finally, using the fluid properties and boundary conditions set above, CFD software is used to establish a simulation environment to solve the multi-physics problems of flow, heat transfer and reaction. The simulation envelope system uses a framework such as Reynolds average or direct numerical simulation (DNS). Then, according to the unique operating conditions of RTO, the setting parameters are repeatedly verified to ensure the accuracy of the simulation results and consistency with the actual operating conditions.

[0098] Furthermore, the flow simulation obtained by the above-mentioned embodiment through accurate simulation of fluid properties, boundary conditions and chemical reaction conditions can predict the fluid behavior and reaction performance of the equipment under different operating conditions, which is helpful for identifying the optimal operating conditions and predicting potential problems.

[0099] At the same time, relying on detailed simulation, engineers can adjust the physical design parameters of the equipment to achieve effective fluid management and heat and mass transfer optimization to ensure efficient operation of the equipment. In particular, it can optimize the design for common problems such as flow short circuits, dead zones, and uneven temperature distribution to improve the overall performance of the RTO. By precisely controlling boundary conditions and reaction conditions, the coordinated work of oxidation and heat recovery modules is optimized to reduce unnecessary energy consumption. Improve organic matter removal efficiency and fuel utilization, reduce operating costs, and help achieve stricter environmental emission standards. In addition, more precise settings of boundary conditions and reaction conditions can identify dangerous hot spots or overpressure areas, reduce risks during operation, and improve system reliability and safety.

[0100] In summary, through the in-depth exploration and application of the above embodiments, the RTO system can achieve higher operational benefits, reduce environmental impact, and provide detailed data support for equipment maintenance and upgrades. Such simulation work provides a solid foundation for achieving efficient operation throughout the life cycle.

[0101] Step S106. Perform fluid dynamics simulation on the set physical structure according to the preset optimization algorithm, initial exhaust gas flow rate and initial combustion temperature, obtain the target exhaust gas flow rate and target combustion temperature, and complete the exhaust gas treatment in the RTO equipment according to the target exhaust gas flow rate and target combustion temperature.

[0102] Specifically, computer equipment uses optimization algorithms such as genetic algorithms and particle swarm algorithms to perform multi-objective optimization for objective functions (such as minimizing energy consumption and maximizing removal efficiency). Through real-time dynamic simulation, process parameters such as intake flow and switching time are adjusted. Simulation results under different operating conditions are compared to analyze the advantages and disadvantages of different solutions. For example, the optimization algorithm results are sorted out through machine learning methods to achieve intelligent control. Python and R languages ​​are used for data analysis and result visualization to support decision optimization. Furthermore, through optimization algorithms and precise simulations, data support is provided for efficient and economical waste gas treatment, which greatly improves the process capabilities of RTO equipment and reduces fuel and maintenance costs.

[0103] The provided steps S101 to S106 are further analyzed and refined through processing steps. The method can accurately simulate and optimize the exhaust gas treatment process, significantly improve the efficiency and performance of the RTO system, while reducing operating costs, and achieve a win-win situation in environmental protection and economic benefits.

[0104] In some embodiments, before performing fluid dynamics simulation on the set physical structure according to a preset optimization algorithm, initial exhaust gas flow rate and initial combustion temperature, it also includes: determining multiple target areas in the physical structure; wherein the target areas include at least a reaction area, a flow separation area and a boundary layer area; meshing the target areas in the physical structure according to a first mesh density; meshing the remaining areas in the physical structure except the target areas according to a second mesh density; wherein the first mesh density is greater than the second mesh density.

[0105] In this embodiment, the reaction zone refers to the area where the main chemical reaction occurs, usually the high temperature area or catalytic module in the equipment. The flow separation area includes the area where eddy currents and separations may occur, which is often located at the bends or sudden changes in geometry of the RTO equipment. The boundary layer area is close to the wall and the fluid velocity gradient is significant.

[0106] The mesh drawing is done by applying the first mesh density to the target area. Due to the complex flow field and heat and mass transfer phenomena, these areas require high-resolution mesh refinement to ensure sufficient simulation accuracy. The second mesh density is applied to non-target areas, which usually have smaller changes and use coarser meshes to reduce the amount of calculation.

[0107] Furthermore, by increasing the mesh density in important areas, the accuracy of simulation results in key areas can be significantly improved to reflect real flow phenomena and chemical reactions. By adjusting the density, the number of overall solution meshes can be reduced, computing resource consumption and time can be reduced, and the simulation cost-effectiveness can be improved. At the same time, appropriate mesh settings can help improve the stability and convergence speed of numerical simulations and reduce non-physical oscillations and errors.

[0108] Exemplarily, before performing fluid dynamics simulation on the set physical structure according to a preset optimization algorithm, initial exhaust gas flow rate and initial combustion temperature, it also includes: performing fluid dynamics simulation on the set physical structure according to the initial exhaust gas flow rate and the initial combustion temperature to obtain preliminary simulation results; wherein the preliminary simulation results include the temperature change distribution and concentration change distribution of the exhaust gas in the physical structure; determining multiple key areas and multiple stable areas in the physical structure according to the temperature change distribution and the concentration change distribution; determining the grid refinement value corresponding to the key area according to the temperature error information, temperature gradient information, concentration error information and concentration gradient information corresponding to each key area; determining the grid coarsening value corresponding to the key area according to the temperature error information, temperature gradient information, concentration error information and concentration gradient information corresponding to each stable area; in the physical structure, completing the refinement of the grid in the key area according to the grid refinement value, and completing the coarsening of the grid in the stable area according to the grid coarsening value, thereby completing the grid optimization of the physical structure.

[0109] This example performs a preliminary fluid dynamics simulation on the physical structure to obtain the distribution of temperature and concentration changes. The preliminary simulation results help identify multiple key areas (such as areas with violent reactions) and stable areas (such as areas where temperature and concentration change slowly). The mesh refinement values ​​are set for key areas based on temperature error information, gradient information, and concentration changes to ensure that the resolution of these areas meets high-precision requirements. The stable areas are meshed based on relatively small errors and gradients. This mesh adjustment maintains simulation accuracy while reducing the amount of calculation. Local mesh refinement and coarsening techniques are used to dynamically adjust the mesh density in the physical structure to respond to changes in exhaust gas flow.

[0110] Furthermore, this example improves the resolution by refining the grid in key areas and optimizes computing resources by coarsening the grid in stable areas. This local optimization balances simulation accuracy and computing efficiency. At the same time, the grid can be intelligently adjusted through preliminary analysis, saving a lot of subsequent computing resources, especially in a large number of simulation parameter sensitivity analysis and multi-parameter optimization processes. And through the feedback of preliminary simulation results, the grid configuration is dynamically adjusted to optimize according to the actual situation to ensure the repeatability and reliability of the simulation.

[0111] The above embodiments and their corresponding examples use the mesh refinement and optimization technology of fluid dynamics simulation to ensure that highly accurate flow field and chemical reaction simulation results are obtained without increasing excessive computational burden. These technologies are widely used in engineering practice and provide solid technical support for design optimization, operational efficiency improvement and new equipment development.

[0112] In some embodiments, a fluid dynamics simulation is performed on the set physical structure according to a preset optimization algorithm, an initial exhaust gas flow rate, and an initial combustion temperature to obtain a target exhaust gas flow rate and a target combustion temperature, including: constructing an objective function corresponding to the fluid dynamics simulation; adjusting the initial exhaust gas flow rate and the initial combustion temperature according to a preset optimization algorithm to generate an adjusted flow rate and an adjusted temperature; calculating the objective function value corresponding to each group of adjusted flow rates and adjusted temperatures; if the objective function value meets preset conditions, determining the adjusted flow rate and adjusted temperature corresponding to the objective function value as the target exhaust gas flow rate and the target combustion temperature, respectively.

[0113] Define the objective function to be optimized by targeting the operating objectives of the RTO equipment. This objective function measures the balance between exhaust gas removal efficiency and equipment energy consumption. Take the initial exhaust gas flow rate and initial combustion temperature as initial conditions. Evaluate the objective function value through fluid dynamics simulation, and gradually adjust the exhaust gas flow rate and combustion temperature according to the simulation results. Use optimization algorithms (such as genetic algorithms, particle swarm optimization, etc.) to systematically adjust the parameters. After each adjustment, calculate the corresponding objective function value. Repeat the adjustment until the objective function value meets the preset conditions (such as achieving a balance between maximum removal efficiency and minimum energy consumption), and determine the flow rate and temperature at this time as the target value.

[0114] Through accurate models and optimization algorithms, not only the exhaust gas removal rate is improved, but also the overall energy consumption is reduced, and the economic benefits of the RTO system are improved. At the same time, it helps to effectively adjust the exhaust gas treatment parameters under different working conditions, realize real-time monitoring and dynamic control, and provide data support for designers and operators to better optimize the operation strategy of RTO equipment.

[0115] Exemplarily, constructing an objective function corresponding to the fluid dynamics simulation includes: constructing an objective function corresponding to the fluid dynamics simulation according to the removal efficiency corresponding to the exhaust gas and the equipment energy consumption of the RTO equipment; wherein the expression of the objective function includes:

[0116] ;

[0117] in, is the objective function value, is the exhaust gas concentration corresponding to the inlet of the RTO equipment in each fluid dynamics simulation, is the exhaust gas concentration corresponding to the outlet of the RTO equipment in each fluid dynamics simulation, For the removal efficiency, is the mass flow rate of exhaust gas in the RTO equipment in each fluid dynamics simulation, The equipment efficiency corresponding to the RTO equipment in each fluid dynamics simulation, is the device temperature change value corresponding to the RTO device in each fluid dynamics simulation, is the energy consumption of the equipment, is the first weight, is the first weight.

[0118] The removal efficiency part represents the exhaust gas removal efficiency, and high removal efficiency provides positive benefits. The energy consumption part is represented by negative benefits by calculating the equipment energy consumption, so it needs to be minimized. The first weight and the second weight are set as the importance ratio of the removal efficiency and the equipment energy consumption in the optimization target.

[0119] By adjusting the weighting factors to obtain the desired performance based on the practical experience and strategies of RTO equipment operation, the fluid dynamics simulation is performed at each step of the entire process to reflect the impact of each group of adjustments. The feedback loop helps to dynamically adjust, optimize and determine the best parameter settings for each stage.

[0120] By optimizing the balance between exhaust gas removal efficiency and energy consumption, the equipment can be operated efficiently and energy-efficiently. The weights can be flexibly adjusted according to specific operating goals (such as environmental regulations or operating cost goals), so that the equipment has adaptive capabilities in various scenarios. It provides operators with intuitive performance indicators for easy operation management and in-depth analysis.

[0121] The above embodiments and examples thereof achieve parameter optimization in the waste gas treatment process through fluid dynamics simulation driven by optimization algorithms. The core lies in accurately constructing the optimization objective function, and using the trade-off analysis between waste gas removal efficiency and equipment energy consumption to propose a scientific method for optimizing the operation of RTO equipment. This not only improves equipment efficiency and reduces operating costs, but also provides a data-driven accurate management and adjustment solution to make waste gas treatment smarter and more efficient.

[0122] In some embodiments, the RTO device includes at least a variable frequency fan, a burner, a heat storage bed and an exhaust gas detection module; the exhaust gas is processed in the RTO device according to the target exhaust gas flow rate and the target combustion temperature, including: determining the speed corresponding to the variable frequency fan according to the target exhaust gas flow rate; determining the fuel supply and air intake corresponding to the burner according to the target combustion temperature; determining the switching cycle of the valve corresponding to the heat storage bed according to the target exhaust gas flow rate and the target combustion temperature; in the process of exhaust gas treatment by the RTO device, the exhaust component information, exhaust temperature information and exhaust flow information discharged by the heat storage bed are obtained through the exhaust gas detection module; the speed, fuel supply, air intake and switching cycle are adjusted in real time according to the exhaust component information, exhaust temperature information and exhaust flow information.

[0123] The core components of the RTO device mentioned in the above embodiment include:

[0124] Variable frequency fan: used to adjust the exhaust gas flow rate, its speed directly affects the flow rate and residence time of the exhaust gas in the system.

[0125] Burner: Provides the necessary combustion temperature and achieves temperature control by adjusting the fuel supply and air intake.

[0126] Thermal storage bed: used for heat recovery and storage, which determines the direction of airflow by switching valves, thereby improving thermal efficiency.

[0127] Exhaust gas detection module: monitors exhaust composition, temperature and flow in real time and provides feedback data.

[0128] The fan speed is precisely adjusted according to the target exhaust gas flow rate to ensure the optimal flow and residence time of the exhaust gas in the heat storage bed and combustion chamber. The target combustion temperature determines the supply of fuel and air. The fuel and air must be accurately proportioned to maintain a stable combustion temperature and minimize unburned pollutants. According to the exhaust gas flow rate and combustion temperature, the valve switching cycle adjusts the heat exchange efficiency of the heat storage bed; short cycles can improve reaction flexibility, while long cycles can improve energy efficiency. The exhaust composition, temperature and flow data are obtained in real time through the exhaust gas detection module. Based on real-time data, the fan speed, fuel and air supply, and valve switching cycle are automatically adjusted to ensure that the equipment is always operating in the best condition.

[0129] Real-time adjustments ensure rapid response to changing exhaust gas characteristics, maintain optimal oxidation conditions, and improve pollutant removal efficiency. At the same time, the fuel and air supply of the burner are precisely controlled, and the recovered heat energy is maximized by optimizing the fan speed and the reversing cycle of the heat storage bed, thereby reducing equipment energy consumption. The real-time monitoring and adjustment mechanism ensures the stability of the exhaust gas composition, reduces the emission of harmful substances, and helps companies achieve stricter environmental protection standards. Dynamic adjustment effectively avoids system instability or failures that may occur due to rapidly changing operating conditions, and improves the safety of the equipment and the reliability of long-term operation. The corresponding real-time adjustment can not only cope with fluctuations in exhaust gas flow and composition, but also conduct self-learning and optimization based on the historical data of equipment operation, and continuously improve operating efficiency.

[0130] In summary, the above embodiments achieve efficient and stable operation of the RTO system by introducing a dynamic control strategy based on real-time detection and feedback regulation. By carefully adjusting the fan speed, combustion parameters and the switching cycle of the heat storage bed valve, the equipment can maintain its optimal working state under different load conditions, achieving the dual goals of energy saving and emission compliance, and providing a set of intelligent and efficient solutions for modern industrial waste gas treatment.

[0131] The method provided in the present application firstly performs a detailed analysis of the chemical and physical properties of the waste gas to be treated. The parameter information obtained includes but is not limited to the type, concentration, temperature, flow rate, etc. of volatile organic compounds (VOCs). Then, the flow information and chemical reaction information related to waste gas treatment are generated through the preset RTO process information. The flow information includes the mass conservation equation, the momentum conservation equation, and the energy conservation equation. The chemical reaction information covers the relevant chemical reaction equations to ensure that the reaction process is accurately simulated. Then, the above information is used to build an accurate mathematical model to simulate the behavior of the waste gas in the treatment system. The mathematical model provides a basis for subsequent optimization and simulation. Further, based on the organic matter information in the waste gas, its physical parameters (such as density, viscosity, specific heat capacity) and kinetic parameters (such as reaction rate constant) are calculated to ensure the physical accuracy of the model. Furthermore, according to the physical structure and mathematical model of the RTO device, fluid dynamics simulation information for detailed analysis of fluid behavior is set. Finally, a preset optimization algorithm is used to perform a fluid dynamics simulation at the set initial waste gas flow rate and initial combustion temperature to determine the optimal target waste gas flow rate and combustion temperature. Adjust the operating conditions of the RTO equipment to achieve efficient treatment of exhaust gas.

[0132] The provided method has the following beneficial effects:

[0133] 1. Reduce energy consumption: By optimizing combustion temperature and exhaust gas flow, the heat recovery efficiency is maximized, which significantly reduces energy consumption.

[0134] 2. High heat recovery efficiency: Accurate simulation and optimization algorithms improve the efficiency of heat recovery, allowing the system to maintain high efficiency during operation.

[0135] 3. Enhanced adaptability to dynamic operating conditions: Adapt to different exhaust gas compositions and operating conditions to ensure that the device can operate stably under various operating conditions.

[0136] 4. Accurate process control: With the help of detailed fluid dynamics and chemical reaction simulation, highly accurate control of the exhaust gas treatment process can be achieved to reduce pollution emissions.

[0137] 5. Overall economy: By reducing energy consumption and improving processing efficiency, the overall operating cost is reduced, making RTO technology more economically feasible.

[0138] The above beneficial effects work together to not only solve the problems of high energy consumption and poor heat recovery in traditional RTO systems, but also improve their adaptability and control accuracy, providing an efficient and reliable solution for industrial waste gas treatment.

[0139] In order to implement the RTO method based on EEG signals and based on the optimization of exhaust gas treatment efficiency corresponding to the above method embodiment, so as to achieve the corresponding functions and technical effects. Figure 2 , Figure 2 The structural block diagram of an RTO device 200 based on waste gas treatment efficiency optimization provided by an embodiment of the present application is shown. For the convenience of explanation, only the parts related to the present embodiment are shown. The RTO device 200 based on waste gas treatment efficiency optimization provided by an embodiment of the present application includes:

[0140] The characteristic analysis unit 201 is used to perform chemical characteristic analysis and physical characteristic analysis on the waste gas to be treated, and obtain parameter information corresponding to the waste gas; the parameter information includes at least one or more of volatile organic compound information, concentration information, temperature information and flow rate information;

[0141] The process acquisition unit 202 is used to acquire process information corresponding to the RTO method, and generate flow information and chemical reaction information corresponding to the RTO method according to the process information and the parameter information; wherein the flow information at least includes a mass conservation equation, a momentum conservation equation, and an energy conservation equation, and the chemical reaction information at least includes a chemical reaction equation;

[0142] A model building unit 203, used to build a waste gas treatment mathematical model according to the flow information, chemical reaction information and parameter information;

[0143] The parameter acquisition unit 204 is used to acquire the physical property parameters and kinetic parameters corresponding to the exhaust gas according to the organic matter information; the physical property parameters at least include density, viscosity and specific heat capacity, and the kinetic parameters at least include reaction rate constant;

[0144] A setting completion unit 205 is used to obtain the physical structure of the RTO device corresponding to the RTO method, and set the fluid dynamics simulation information corresponding to the physical structure according to the waste gas treatment mathematical model, physical property parameters and dynamic parameters;

[0145] The processing completion unit 206 is used to perform fluid dynamics simulation on the physical structure that has been set according to a preset optimization algorithm, an initial exhaust gas flow rate, and an initial combustion temperature, obtain a target exhaust gas flow rate and a target combustion temperature, and complete the processing of the exhaust gas in the RTO device according to the target exhaust gas flow rate and the target combustion temperature.

[0146] The above-mentioned RTO device 200 based on waste gas treatment efficiency optimization can implement the RTO method based on EEG signal based on waste gas treatment efficiency optimization of the above-mentioned method embodiment. The options in the above-mentioned method embodiment are also applicable to this embodiment and will not be described in detail here. The rest of the contents of the embodiment of this application can refer to the contents of the above-mentioned method embodiment, and will not be repeated in this embodiment.

[0147] Figure 3 This is a schematic diagram of the structure of a computer device provided in one embodiment of the present application. Figure 3 As shown, the computer device 3 of this embodiment includes: at least one processor 30 ( Figure 3 Only one is shown in the figure), a memory 31 and a computer program 32 stored in the memory 31 and executable on the at least one processor 30, wherein the processor 30 implements the steps of any of the above method embodiments when executing the computer program 32.

[0148] The computer device 3 may be a computing device such as a smart phone, a tablet computer, a desktop computer, a cloud server, etc. The computer device may include but is not limited to a processor 30 and a memory 31. Those skilled in the art will understand that Figure 3 It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0149] The processor 30 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0150] In some embodiments, the memory 31 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 31 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the computer device 3. The memory 31 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 31 may also be used to temporarily store data that has been output or is to be output.

[0151] In addition, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0152] An embodiment of the present application provides a computer program product. When the computer program product is run on a computer device, the computer device implements the steps in the above-mentioned method embodiments when executing the computer device.

[0153] In several embodiments provided in the present application, it is understood that each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.

[0154] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0155] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the scope of protection of the present application. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims

1. An RTO method based on waste gas treatment efficiency optimization, characterized in that: include: Perform chemical and physical property analysis on the waste gas to be treated to obtain parameter information corresponding to the waste gas; The parameter information includes at least one or more of volatile organic compound information, concentration information, temperature information and flow rate information; Acquire process information corresponding to a preset RTO method, and generate flow information and chemical reaction information corresponding to the RTO method according to the process information and the parameter information; wherein the flow information at least includes a mass conservation equation, a momentum conservation equation, and an energy conservation equation, and the chemical reaction information at least includes a chemical reaction equation; Constructing a waste gas treatment mathematical model based on the flow information, chemical reaction information and parameter information; Acquire the physical property parameters and kinetic parameters corresponding to the exhaust gas according to the organic matter information; the physical property parameters at least include density, viscosity and specific heat capacity, and the kinetic parameters at least include reaction rate constant; Acquire the physical structure of the RTO device corresponding to the RTO method, and set the fluid dynamics simulation information corresponding to the physical structure according to the waste gas treatment mathematical model, physical property parameters and dynamic parameters; According to the preset optimization algorithm, the initial exhaust gas flow rate and the initial combustion temperature, the fluid dynamics simulation of the set physical structure is performed to obtain the target exhaust gas flow rate and the target combustion temperature, and the exhaust gas is processed in the RTO device according to the target exhaust gas flow rate and the target combustion temperature.

2. The method according to claim 1, characterized in that The chemical property analysis and physical property analysis of the waste gas to be treated are performed to obtain parameter information corresponding to the waste gas, including: Obtaining the volatile organic compound components corresponding to the exhaust gas based on a gas chromatography-mass spectrometry method, and generating the volatile organic compound information according to the volatile organic compound components; and / or, Obtaining the concentration of each component in the exhaust gas according to a gas chromatograph, and generating the concentration information according to a plurality of the concentrations; and / or, Measuring the temperature information of the exhaust gas flowing in according to a preset temperature sensing module; and / or, The flow rate information of the exhaust gas when it flows in is measured according to a preset ultrasonic flow meter.

3. The method according to claim 1, characterized in that The parameter information also includes flow information, and the process information includes material transport information, pressure information, pipeline friction resistance information, enthalpy change information, and heat loss information; the flow information and chemical reaction information corresponding to the RTO method are generated according to the process information and the parameter information, including: Constructing the mass conservation equation according to the flow information and the material transport information; Constructing the momentum conservation equation according to the flow velocity information, pressure information and pipeline friction resistance information; constructing the energy conservation equation according to the enthalpy change information and the heat loss information; The high temperature reaction characteristics are acquired according to the volatile organic compound information, and the chemical reaction information is constructed according to the high temperature reaction characteristics.

4. The method according to claim 1, characterized in that: The fluid dynamics simulation information includes fluid properties, boundary conditions, and reaction conditions; the fluid dynamics simulation information corresponding to the physical structure is set according to the waste gas treatment mathematical model, physical property parameters, and dynamic parameters, including: Setting the fluid properties according to the density, viscosity and specific heat capacity in the physical property parameters; According to the waste gas treatment mathematical model, the inlet initial flow rate, the outlet initial flow rate and the wall temperature corresponding to the RTO device are obtained; The boundary conditions are set according to the inlet initial flow velocity, the outlet initial flow velocity and the wall temperature; The reaction conditions are set according to the kinetic parameters and the waste gas treatment mathematical model.

5. The method according to claim 1, characterized in that Before performing fluid dynamics simulation on the set physical structure according to the preset optimization algorithm, the initial exhaust gas flow rate and the initial combustion temperature, the method further includes: In the physical structure, a plurality of target regions are determined; wherein the target regions at least include a reaction region, a flow separation region and a boundary layer region; Meshing the target area in the physical structure according to a first mesh density; Performing mesh drawing on the remaining areas except the target area in the physical structure according to a second mesh density; Wherein, the first grid density is greater than the second grid density.

6. The method according to claim 5, characterized in that Before performing fluid dynamics simulation on the set physical structure according to the preset optimization algorithm, the initial exhaust gas flow rate and the initial combustion temperature, the method further includes: Performing a fluid dynamics simulation on the set physical structure according to the initial exhaust gas flow rate and the initial combustion temperature to obtain a preliminary simulation result; wherein the preliminary simulation result includes a temperature change distribution and a concentration change distribution of the exhaust gas in the physical structure; determining a plurality of key regions and a plurality of stable regions in the physical structure according to the temperature change distribution and the concentration change distribution; Determine the mesh refinement value corresponding to each key area according to the temperature error information, temperature gradient information, concentration error information and concentration gradient information corresponding to each key area; Determine the grid coarsening value corresponding to the key area according to the temperature error information, the temperature gradient information, the concentration error information and the concentration gradient information corresponding to each of the stable areas; In the physical structure, the mesh of the key area is refined according to the mesh refinement value, and the mesh of the stable area is coarsened according to the mesh coarsening value, thereby completing mesh optimization of the physical structure.

7. The method according to claim 1, characterized in that The method of performing fluid dynamics simulation on the set physical structure according to the preset optimization algorithm, the initial exhaust gas flow rate and the initial combustion temperature to obtain the target exhaust gas flow rate and the target combustion temperature includes: Constructing an objective function corresponding to the fluid dynamics simulation; Adjusting the initial exhaust gas flow rate and the initial combustion temperature according to a preset optimization algorithm to generate an adjusted flow rate and an adjusted temperature; Calculating the objective function value corresponding to each set of the adjusted flow rate and the adjusted temperature; If the objective function value meets the preset conditions, the adjusted flow rate and the adjusted temperature corresponding to the objective function value are respectively determined as the target exhaust gas flow rate and the target combustion temperature.

8. The method according to claim 7, characterized in that The constructing of the objective function corresponding to the fluid dynamics simulation comprises: Constructing an objective function corresponding to the fluid dynamics simulation according to the removal efficiency corresponding to the exhaust gas and the equipment energy consumption of the RTO equipment; Wherein, the expression of the objective function includes: ； Among them, the is the objective function value, is the exhaust gas concentration corresponding to the inlet of the RTO device in each fluid dynamics simulation, is the exhaust gas concentration corresponding to the outlet of the RTO device in each fluid dynamics simulation, is the removal efficiency, is the mass flow rate of the exhaust gas in the RTO device in each fluid dynamics simulation, The equipment efficiency corresponding to the RTO equipment in each fluid dynamics simulation, is the device temperature change value corresponding to the RTO device in each fluid dynamics simulation, is the energy consumption of the device, is the first weight, is the first weight.

9. The method according to claim 1, characterized in that: The RTO device at least includes a variable frequency fan, a burner, a heat storage bed and an exhaust gas detection module; the exhaust gas is processed in the RTO device according to the target exhaust gas flow rate and the target combustion temperature, including: Determining the speed corresponding to the variable frequency fan according to the target exhaust gas flow rate; Determining the fuel supply amount and air intake amount corresponding to the burner according to the target combustion temperature; Determining a switching period of a valve corresponding to the heat storage bed according to the target exhaust gas flow rate and the target combustion temperature; In the process of the RTO device performing exhaust gas treatment, the exhaust component information, exhaust temperature information and exhaust flow rate information of the thermal storage bed are obtained through the exhaust gas detection module; The rotation speed, fuel supply, air intake and switching period are adjusted in real time according to the exhaust composition information, exhaust temperature information and exhaust flow information.

10. An RTO device based on waste gas treatment efficiency optimization, characterized in that: include: A characteristic analysis unit, used to perform chemical characteristic analysis and physical characteristic analysis on the waste gas to be treated, and obtain parameter information corresponding to the waste gas; the parameter information includes at least one or more of volatile organic compound information, concentration information, temperature information and flow rate information; A process acquisition unit, used to acquire process information corresponding to the RTO method, and generate flow information and chemical reaction information corresponding to the RTO method according to the process information and the parameter information; wherein the flow information at least includes a mass conservation equation, a momentum conservation equation, and an energy conservation equation, and the chemical reaction information at least includes a chemical reaction equation; A model building unit, used to build a waste gas treatment mathematical model according to the flow information, chemical reaction information and parameter information; A parameter acquisition unit, used to acquire physical property parameters and kinetic parameters corresponding to the exhaust gas according to the organic matter information; the physical property parameters at least include density, viscosity and specific heat capacity, and the kinetic parameters at least include reaction rate constant; A setting completion unit is used to obtain the physical structure of the RTO device corresponding to the RTO method, and set the fluid dynamics simulation information corresponding to the physical structure according to the waste gas treatment mathematical model, physical property parameters and dynamic parameters; The processing completion unit is used to perform fluid dynamics simulation on the physical structure that has been set according to a preset optimization algorithm, an initial exhaust gas flow rate, and an initial combustion temperature, obtain a target exhaust gas flow rate and a target combustion temperature, and complete the processing of the exhaust gas in the RTO device according to the target exhaust gas flow rate and the target combustion temperature.

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