Waveguide port positioning method in oil shale microwave heating process and related equipment

Abstract

The invention discloses a waveguide port positioning method in an oil shale microwave heating process and related equipment, and relates to the technical field of oil shale exploiting.The method comprises the steps that physical parameter data of an oil shale sample to be detected and geometric parameters of a microwave heating device are obtained, establishing an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters; defining a control equation and a constraint condition of the oil shale microwave heating simulation model, and according to a preset coupling relationship, carrying out simultaneous operation on the control equation and / or the constraint condition to obtain a simultaneous equation; the method comprises the following steps: performing an indoor microwave heating physical experiment on an oil shale microwave heating simulation model through Latin hypercube sampling to obtain experimental data at different waveguide port positions; performing sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data; and determining the position of the waveguide port based on the experimental data and the energy field distribution data.

Description

Technical Field

[0001] The present application relates to the technical field of oil shale mining, and in particular to a method for locating a waveguide port during microwave heating of oil shale. Background Art

[0002] The rapid growth of energy consumption requires the urgent development and implementation of alternative energy sources and innovative technologies. Oil shale is a combustible sedimentary rock with high solid organic matter and ash content, which can serve as a viable alternative to petroleum to meet future energy needs. Oil shale can produce shale oil during distillation and heating. Many thermal treatment processes and methods have been proposed to increase oil yield and improve the quality of oil shale, and there is great potential for obtaining high-quality oil shale products through intensified thermal processing and configuration. However, as the depletion of traditional fossil fuels and their impact on the environment become more obvious, it is imperative to explore sustainable energy, energy solutions, and advances in energy-saving technologies. Compared with conventional methods of oil shale processing, electromagnetic technology shows great potential in the development of heavy oil, coalbed methane, and oil sands. By comparing different heating methods for oil sand preheating, including electromagnetic heating, electric heating, and steam cycle, electromagnetic heating performs best in terms of energy consumption.

[0003] The use of microwaves, a type of high-frequency electromagnetic waves, is considered an effective method to achieve the desired high-temperature conditions in oil shale pyrolysis. The characteristic of microwave heating is that it can selectively heat specific materials, making microwave-assisted pyrolysis technology very promising for commercialization. The use of microwaves can achieve instant volumetric heating of oil shale, overcoming its low thermal conductivity limitation. In addition, microwave-assisted oil recovery has reduced sulfur and nitrogen contents compared to traditional electrical heating methods. Experiments are the most direct means to study microwave pyrolysis, but many microscopic or small aspects may not be accurately observed with the naked eye, such as the microscopic details of the intrinsic chemical reactivity of oil shale kerogen related to electronic properties. Numerical simulations have demonstrated their effectiveness in predicting and visualizing the thermal response of materials under microwave heating. It facilitates the coupling of various physical models, including electromagnetic, heat transfer, and multiphase porous media models. However, existing studies have mainly focused on aspects such as sample placement within the microwave cavity or the effect of waveguide dimensions, especially for fixed waveguide coordinates on microwave reactors, the effect of waveguide port positioning remains unclear. Summary of the invention

[0004] In view of this, the patent of the present invention provides a waveguide port positioning method and related equipment during microwave heating of oil shale, which analyzes the different positions of the waveguide port to determine the optimal position, thereby improving the efficiency of oil shale mining and the quality of the mined products.

[0005] A method for locating a waveguide port during microwave heating of oil shale is provided, comprising:

[0006] Acquire physical parameter data of the oil shale sample to be tested and geometric parameters of the microwave heating device, and establish an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters;

[0007] Defining control equations and constraint conditions of the oil shale microwave heating simulation model, and combining the control equations and / or the constraint conditions according to a preset coupling relationship to obtain a combined equation;

[0008] Through Latin hypercube sampling, an indoor microwave heating physical experiment is carried out for the oil shale microwave heating simulation model to obtain experimental data at different waveguide port positions;

[0009] Performing sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data;

[0010] The position of the waveguide port is determined based on the experimental data and the energy field distribution data.

[0011] Optionally, the step of defining control equations and constraints of the oil shale microwave heating simulation model includes:

[0012] The electromagnetic excitation equation and the first constraint condition of the oil shale microwave heating simulation model are defined as:

[0013]

[0014] k0=ω / c0 ε r =ε′-jε″

[0015] Where E represents the electric field strength, V m -1 , μ r represents relative permeability, σ represents electrical conductivity 0.02S m- 1 , ω represents the angular frequency of electromagnetic waves, ε0 represents the dielectric constant of free space, k0 represents the wave number, с0 represents the speed of light in a vacuum environment, ms -1 , ε r represents the complex dielectric constant, ε′ represents the dielectric constant, ε″ represents the loss coefficient of the material, j represents the imaginary unit, the control equation includes the electromagnetic excitation equation, and the constraint condition includes the first constraint condition.

[0016] Optionally, the step of defining control equations and constraints of the oil shale microwave heating simulation model further includes:

[0017] The heat transfer equation and the second constraint condition of the oil shale microwave heating simulation model are defined as:

[0018]

[0019] k eff =θ p k s +(1-θ p ) f

[0020] Where T represents temperature, ρ s Indicates the density of oil shale 1250 kg m -3 , c p represents the specific heat capacity, μ represents the flow velocity in the oil shale sample, q represents the heat flow rate of conduction, Q represents the heat generated by the electromagnetic field, and k eff represents the effective thermal conductivity of the porous medium, θ p represents the volume fraction, k s represents the thermal conductivity of oil shale, k f It represents calculating the thermal conductivity of the mixed fluid in the porous medium, the control equation includes the heat transfer equation, and the constraint condition includes the second constraint condition.

[0021] Optionally, the step of defining control equations and constraints of the oil shale microwave heating simulation model further includes:

[0022] The chemical reaction equation and the third constraint condition of the oil shale microwave heating simulation model are defined as:

[0023]

[0024] Among them с i represents the reactant concentration, the jth reaction rate, v ij represents the chemical calculation coefficient, represents the irreversible decomposition rate of kerogen, A j (s -1 ) represents the frequency of successful collisions between reactant molecules, E(J mol -1 ) represents the activation energy, R ɡ represents the gas constant, the control equation includes the chemical reaction equation, and the constraint condition includes the third constraint condition.

[0025] Optionally, the step of defining control equations and constraints of the oil shale microwave heating simulation model further includes:

[0026] The mass transfer equation and the fourth constraint condition of the oil shale microwave heating simulation model are defined as:

[0027]

[0028] where c i represents the concentration of the i-th chemical, Ri represents the source term produced by chemical reactions, μ c represents the mass average velocity, D e,i represents an effective diffusion coefficient related to porosity, the control equation includes the mass transfer equation, and the constraints include the fourth constraint.

[0029] Optionally, the step of defining control equations and constraints of the oil shale microwave heating simulation model further includes:

[0030] The product flow equation and the fifth constraint condition of the oil shale microwave heating simulation model are defined as:

[0031]

[0032] Q m =∑C i M i .

[0033] Where k represents the permeability, μ m represents the dynamic viscosity, ρ m represents density, p represents the pressure of the mixture fluid, and the mass source term Q m , M i represents the molar mass of the i-th substance, the control equation includes the product flow equation, and the constraints include the fifth constraint.

[0034] Optionally, the preset coupling relationship includes: a coupling relationship between the electromagnetic excitation equation and the heat transfer equation, a coupling relationship between the heat transfer equation and the chemical reaction equation, a coupling relationship between the chemical reaction equation and the mass transfer equation, and a coupling relationship between the product flow equation and the chemical reaction equation.

[0035] On the other hand, the present application provides a waveguide port positioning system during microwave heating of oil shale, comprising:

[0036] A data acquisition module, used to obtain physical parameter data of the oil shale sample to be tested and geometric parameters of the microwave heating device, and to establish an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters;

[0037] A coupling module, used for defining control equations and constraint conditions of the oil shale microwave heating simulation model, and combining the control equations and / or the constraint conditions according to a preset coupling relationship to obtain a combined equation;

[0038] An experimental module, for conducting an indoor microwave heating physical experiment for the oil shale microwave heating simulation model through Latin hypercube sampling, and obtaining experimental data at different waveguide port positions;

[0039] An analysis module, used to perform sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data;

[0040] A determination module is used to determine the position of the waveguide port based on the experimental data and the energy field distribution data.

[0041] On the other hand, the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the waveguide port positioning method during microwave heating of oil shale as described above are implemented.

[0042] On the other hand, the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the waveguide port positioning method during microwave heating of oil shale as described above.

[0043] The present application takes into account the physicochemical processes such as electromagnetic excitation, heat transfer, chemical reaction, mass transfer, fluid flow, etc. involved in the microwave pyrolysis process of oil shale at different waveguide port positions, so that the simulation of the microwave heating process of oil shale is more accurate. The microwave heating process of oil shale at different waveguide port positions is simulated, and then the optimal waveguide position is selected, which can effectively improve the uniformity of temperature distribution inside the sample and increase the total oil production after pyrolysis of oil shale. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] in:

[0046] Figure 1 A flow chart of a method for locating a waveguide port during microwave heating of oil shale in one embodiment;

[0047] Figure 2 A schematic diagram of a simulation model in a waveguide port positioning method during microwave heating of oil shale in an embodiment;

[0048] Figure 3 A schematic diagram of a preset coupling relationship in a waveguide port positioning method during microwave heating of oil shale in one embodiment;

[0049] Figure 4It is a structural block diagram of a waveguide port positioning device in a microwave heating process of oil shale in one embodiment;

[0050] Figure 5 is a structural block diagram of a computer device in one embodiment;

[0051] Figure 6 It is a structural block diagram of a computer device in another embodiment. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] 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, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0054] 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.

[0055] 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.

[0056] 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.

[0057] 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.

[0058] 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.

[0059] The present invention is described in detail below through specific embodiments.

[0060] Please refer to Figure 1 , Figure 1 A method for locating a waveguide port during microwave heating of oil shale provided in an embodiment of the present invention includes:

[0061] S101, obtaining physical parameter data of the oil shale sample to be tested and geometric parameters of a microwave heating device, and establishing an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters;

[0062] For example, the physical parameter data include but are not limited to attribute parameters, such as size, density, etc., and the geometric parameters include but are not limited to geometric shape, shape size, etc. Figure 2 As shown, the oil shale microwave heating simulation model is a finite element model.

[0063] S102, defining control equations and constraint conditions of the oil shale microwave heating simulation model, and combining the control equations and / or the constraint conditions according to a preset coupling relationship to obtain a combined equation;

[0064] Exemplarily, the control equations include at least an electromagnetic excitation equation, a heat transfer equation, a chemical reaction equation, a mass transfer equation, and a product flow equation.

[0065] S103, performing an indoor microwave heating physical experiment on the oil shale microwave heating simulation model through Latin hypercube sampling to obtain experimental data at different waveguide port positions;

[0066] Exemplarily, the Latin hypercube sampling ensures the randomness of the port coordinates, thereby ensuring the randomness of the experiment, making the experimental results reliable.

[0067] S104, performing sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data;

[0068] Exemplarily, the experimental data include temperature measurement data or oil and gas production data, the energy field distribution data include electromagnetic field distribution data, temperature distribution data, material distribution data, etc. The sensitivity analysis process is used to determine the change pattern of the temperature measurement data or oil and gas production data at the optimal position under a single variable parameter.

[0069] S105. Determine the position of the waveguide port based on the experimental data and the energy field distribution data.

[0070] For example, in actual applications, due to scenario limitations, considering only experimental data (temperature measurement data or oil and gas production data) may not meet actual needs. Therefore, the position of the waveguide port is determined in combination with the energy field distribution data.

[0071] The physical and chemical processes involved in the microwave pyrolysis process of oil shale at different waveguide port positions, such as electromagnetic excitation, heat transfer, chemical reaction, mass transfer, fluid flow, etc., are taken into consideration, making the simulation of the microwave heating process of oil shale more accurate. The microwave heating process of oil shale at different waveguide port positions is simulated, and then the optimal waveguide position is selected, which can effectively improve the uniformity of temperature distribution inside the sample and increase the total oil yield after pyrolysis of oil shale.

[0072] In a possible implementation, the step of defining the control equations and constraints of the oil shale microwave heating simulation model includes:

[0073] The electromagnetic excitation equation and the first constraint condition of the oil shale microwave heating simulation model are defined as:

[0074]

[0075] k0=ω / c0 ε r =ε′-jε″′

[0076] Where E represents the electric field strength, V m -1 , μ r represents relative permeability, σ represents electrical conductivity 0.02Sm -1 , ω represents the angular frequency of electromagnetic waves, ε0 represents the dielectric constant of free space, k0 represents the wave number, с0 represents the speed of light in a vacuum environment, ms -1 , ε r represents the complex dielectric constant, ε′ represents the dielectric constant, ε″ represents the loss coefficient of the material, j represents the imaginary unit, the control equation includes the electromagnetic excitation equation, and the constraint condition includes the first constraint condition.

[0077] In a possible implementation manner, the step of defining the control equations and constraints of the oil shale microwave heating simulation model further includes:

[0078] The heat transfer equation and the second constraint condition of the oil shale microwave heating simulation model are defined as:

[0079]

[0080] k eff =θ p k s +(1-θ p ) f

[0081] Where T represents temperature, ρ s Indicates the density of oil shale 1250 kg m -3 , c p represents the specific heat capacity, μ represents the flow velocity in the oil shale sample, q represents the heat flow rate of conduction, Q represents the heat generated by the electromagnetic field, and k eff represents the effective thermal conductivity of the porous medium, θ p represents the volume fraction, k s represents the thermal conductivity of oil shale, k f It represents calculating the thermal conductivity of the mixed fluid in the porous medium, the control equation includes the heat transfer equation, and the constraint condition includes the second constraint condition.

[0082] Optionally, the step of defining control equations and constraints of the oil shale microwave heating simulation model further includes:

[0083] The chemical reaction equation and the third constraint condition of the oil shale microwave heating simulation model are defined as:

[0084]

[0085] Among them с i represents the reactant concentration, the jth reaction rate, v ij represents the chemical calculation coefficient, represents the irreversible decomposition rate of kerogen, A j (s -1 ) represents the frequency of successful collisions between reactant molecules, E (J mol -1 ) represents the activation energy, R ɡ represents the gas constant, the control equation includes the chemical reaction equation, and the constraint condition includes the third constraint condition.

[0086] In a possible implementation manner, the step of defining the control equations and constraints of the oil shale microwave heating simulation model further includes:

[0087] The mass transfer equation and the fourth constraint condition of the oil shale microwave heating simulation model are defined as:

[0088]

[0089] where c i represents the concentration of the i-th chemical, R i represents the source term produced by chemical reactions, μ c represents the mass average velocity, D e,i represents an effective diffusion coefficient related to porosity, the control equation includes the mass transfer equation, and the constraints include the fourth constraint.

[0090] Optionally, the step of defining control equations and constraints of the oil shale microwave heating simulation model further includes:

[0091] The product flow equation and the fifth constraint condition of the oil shale microwave heating simulation model are defined as:

[0092]

[0093] Q m =∑c i M i .

[0094] Where k represents the permeability, μ m represents the dynamic viscosity, ρ m represents density, p represents the pressure of the mixture fluid, and the mass source term Q m , M i represents the molar mass of the i-th substance, the control equation includes the product flow equation, and the constraints include the fifth constraint.

[0095] In a possible implementation, the preset coupling relationship includes: a coupling relationship between the electromagnetic excitation equation and the heat transfer equation, a coupling relationship between the heat transfer equation and the chemical reaction equation, a coupling relationship between the chemical reaction equation and the mass transfer equation, and a coupling relationship between the product flow equation and the chemical reaction equation.

[0096] For example, Figure 3 As shown in the figure, the coupling relationship between the electromagnetic excitation equation and the heat transfer equation is used. The frequency domain method is used to solve Maxwell's equations in the electromagnetic excitation field. The temperature T in the heat transfer field will affect the dielectric constant and loss factor, thereby realizing the two-way coupling of the two physical fields.

[0097] The coupling relationship between the heat transfer equation and the chemical reaction equation. Temperature T is an important physical quantity that triggers the thermal decomposition reaction, thus realizing the bidirectional coupling of porous media heat transfer and chemical reaction.

[0098] The coupling relationship between the chemical reaction equation and the mass transfer equation. Mass transfer depends on the various components ci, involved in the chemical reaction, and the various components will continue to react rj at different positions, that is, the material distribution in turn affects the chemical reaction, realizing the two-way coupling of chemical reaction and mass transfer;

[0099] The coupling relationship between the product flow equation and the chemical reaction equation, the fluid flow field depends on the mass source Ri formed by various components after the chemical reaction, and the velocity field с in turn can affect the mass transfer behavior, realizing the two-way coupling of flow and mass transfer;

[0100] It also includes the coupling relationship between the product flow equation and the heat transfer equation, the influence of fluid flow on the heat transfer of porous media, which is reflected in the fact that the model takes convective heat transfer into account; the temperature-sensitive parameters in the fluid flow field reflect the influence of the porous media heat transfer field on the flow, thereby realizing the two-way coupling of fluid flow and heat transfer.

[0101] In a possible implementation, before the step of performing sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data, it also includes: performing meshing and model verification through a finite element calculation platform to ensure that the model is reliable and the positioning result is reliable.

[0102] In a possible implementation, Figure 4 As shown, the present application provides a waveguide port positioning device during microwave heating of oil shale, comprising:

[0103] The data acquisition module 201 is used to obtain the physical parameter data of the oil shale sample to be tested and the geometric parameters of the microwave heating device, and to establish an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters;

[0104] A coupling module 202 is used to define control equations and constraint conditions of the oil shale microwave heating simulation model, and to combine the control equations and / or the constraint conditions according to a preset coupling relationship to obtain a combined equation;

[0105] The experimental module 203 is used to perform indoor microwave heating physical experiments on the oil shale microwave heating simulation model through Latin hypercube sampling to obtain experimental data at different waveguide port positions;

[0106] An analysis module 204 is used to perform sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data;

[0107] The determination module 205 is used to determine the position of the waveguide port based on the experimental data and the energy field distribution data.

[0108] In a possible implementation, Figure 5 As shown, the embodiment of the present application provides an electronic device 300, including: a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following is achieved: obtaining physical parameter data of the oil shale sample to be tested and geometric parameters of the microwave heating device, and establishing an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters;

[0109] Defining control equations and constraint conditions of the oil shale microwave heating simulation model, and combining the control equations and / or the constraint conditions according to a preset coupling relationship to obtain a combined equation;

[0110] Through Latin hypercube sampling, an indoor microwave heating physical experiment is carried out for the oil shale microwave heating simulation model to obtain experimental data at different waveguide port positions;

[0111] Performing sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data;

[0112] The step of determining the position of the waveguide port based on the experimental data and the energy field distribution data.

[0113] In a possible implementation, Figure 6 As shown, the embodiment of the present application provides a computer-readable storage medium 400, on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented: obtaining physical parameter data of the oil shale sample to be tested and geometric parameters of a microwave heating device, and establishing an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters;

[0114] Defining control equations and constraint conditions of the oil shale microwave heating simulation model, and combining the control equations and / or the constraint conditions according to a preset coupling relationship to obtain a combined equation;

[0115] Through Latin hypercube sampling, an indoor microwave heating physical experiment is carried out for the oil shale microwave heating simulation model to obtain experimental data at different waveguide port positions;

[0116] Performing sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data;

[0117] The step of determining the position of the waveguide port based on the experimental data and the energy field distribution data.

[0118] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or computer device can refer to the relevant descriptions on the server side and the client side in the aforementioned method embodiment. To avoid repetition, they will not be described one by one here.

[0119] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0120] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0121] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for locating a waveguide port during microwave heating of oil shale, characterized in that: include: Acquire physical parameter data of the oil shale sample to be tested and geometric parameters of the microwave heating device, and establish an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters; Defining control equations and constraint conditions of the oil shale microwave heating simulation model, and combining the control equations and / or the constraint conditions according to a preset coupling relationship to obtain a combined equation; Through Latin hypercube sampling, an indoor microwave heating physical experiment is carried out for the oil shale microwave heating simulation model to obtain experimental data at different waveguide port positions; Performing sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data; The position of the waveguide port is determined based on the experimental data and the energy field distribution data.

2. The method for locating a waveguide port during microwave heating of oil shale according to claim 1, characterized in that: The step of defining the control equations and constraints of the oil shale microwave heating simulation model includes: The electromagnetic excitation equation and the first constraint condition of the oil shale microwave heating simulation model are defined as: k0=ω / c0 e r =e′-jε″ Where E represents the electric field intensity, σ represents the relative permeability, ω represents the angular frequency of electromagnetic waves, ε0 represents the dielectric constant of free space, k0 represents the wave number, c0 represents the speed of light in a vacuum environment, and ε r represents the complex dielectric constant, ε′ represents the dielectric constant, ε″ represents the loss coefficient of the material, i represents an imaginary unit, the control equation includes the electromagnetic excitation equation, and the constraint condition includes the first constraint condition.

3. The method for locating a waveguide port during microwave heating of oil shale according to claim 1, characterized in that: The step of defining the control equations and constraints of the oil shale microwave heating simulation model also includes: The heat transfer equation and the second constraint condition of the oil shale microwave heating simulation model are defined as: k eff =θ p k s +(1-θ p )k f Where T represents temperature, ρ s The density of oil shale is 1250 kg m -3 , c p represents the specific heat capacity, μ represents the flow velocity in the oil shale sample, q represents the heat flow rate of conduction, Q represents the heat generated by the electromagnetic field, and k eff represents the effective thermal conductivity of the porous medium, θ p represents the volume fraction, k s represents the thermal conductivity of oil shale, k f It represents calculating the thermal conductivity of the mixed fluid in the porous medium, the control equation includes the heat transfer equation, and the constraint condition includes the second constraint condition.

4. The method for locating a waveguide port during microwave heating of oil shale according to claim 1, characterized in that: The step of defining the control equations and constraints of the oil shale microwave heating simulation model also includes: The chemical reaction equation and the third constraint condition of the oil shale microwave heating simulation model are defined as: Among them с i represents the reactant concentration, the jth reaction rate, v ij represents the chemical calculation coefficient, represents the irreversible decomposition rate of kerogen, A j (s -1 ) represents the frequency of successful collisions between reactant molecules, E (J mol -1 ) represents the activation energy, R ɡ represents the gas constant, the control equation includes the chemical reaction equation, and the constraint condition includes the third constraint condition.

5. The method for locating a waveguide port during microwave heating of oil shale according to claim 1, characterized in that: The step of defining the control equations and constraints of the oil shale microwave heating simulation model also includes: The mass transfer equation and the fourth constraint condition of the oil shale microwave heating simulation model are defined as: where c i represents the concentration of the i-th chemical, R i represents the source term produced by chemical reactions, μ c represents the mass average velocity, D e,i represents an effective diffusion coefficient related to porosity, the control equation includes the mass transfer equation, and the constraints include the fourth constraint.

6. The method for locating a waveguide port during microwave heating of oil shale according to claim 1, characterized in that: The step of defining the control equations and constraints of the oil shale microwave heating simulation model also includes: The product flow equation and the fifth constraint condition of the oil shale microwave heating simulation model are defined as: Q m =∑c l M l . Where k represents the permeability, μ m represents the dynamic viscosity, ρ m represents density, p represents the pressure of the mixture fluid, and the mass source term Q m , M i represents the molar mass of the i-th substance, the control equation includes the product flow equation, and the constraints include the fifth constraint.

7. The method for locating a waveguide port during microwave heating of oil shale according to claim 1, characterized in that: The preset coupling relationships include: the coupling relationship between the electromagnetic excitation equation and the heat transfer equation, the coupling relationship between the heat transfer equation and the chemical reaction equation, the coupling relationship between the chemical reaction equation and the mass transfer equation, and the coupling relationship between the product flow equation and the chemical reaction equation.

8. A waveguide port positioning system during microwave heating of oil shale, characterized in that: include: A data acquisition module, used to obtain physical parameter data of the oil shale sample to be tested and geometric parameters of the microwave heating device, and to establish an oil shale microwave heating simulation model based on the physical parameter data and the geometric parameters; A coupling module, used for defining control equations and constraint conditions of the oil shale microwave heating simulation model, and combining the control equations and / or the constraint conditions according to a preset coupling relationship to obtain a combined equation; An experimental module is used to perform indoor microwave heating physical experiments on the oil shale microwave heating simulation model through Latin hypercube sampling to obtain experimental data at different waveguide port positions; An analysis module, used to perform sensitivity analysis on the experimental data through the oil shale microwave heating simulation model to obtain energy field distribution data corresponding to the experimental data; A determination module is used to determine the position of the waveguide port based on the experimental data and the energy field distribution data.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the waveguide port positioning method during microwave heating of oil shale are implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the waveguide port positioning method during microwave heating of oil shale are implemented as described in any one of claims 1 to 7.

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